diff --git a/.nojekyll b/.nojekyll
index f906862..3f8a9ad 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-99ccfb58
\ No newline at end of file
+374aa276
\ No newline at end of file
diff --git a/scripts/index.html b/scripts/index.html
index 8127874..d9c2374 100644
--- a/scripts/index.html
+++ b/scripts/index.html
@@ -4615,7 +4615,7 @@
 .bi-suitcase2::before { content: "\f902"; }
 .bi-vignette::before { content: "\f903"; }
 </style>
-<link 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V4PFtCzAg0CDQINAg0D8kS8jz4%2FOGcSTo%2B1npifBGN6cGgxJhPxveCnwXnBNcFtwUPBixlerx9zHQIN%2BjtyjvsVAABAoEGgQaBBoIG8emOy4NGOLoh5Y2bgfTMk%2BJVF1Ub4jZ4VaBBoEGjoUKDh6sS9dk4DazBLsGzwmeDgGHqo817vgWBq1yLQwUDDxmoKAAACDQINAg0INDD43tiwwwtif9UDA%2B6br1lQbYx19axAg0CDQEOHAg1Xdj3QMJEg4lLB3sX9Tw3X7BGuRaCDgYYN1BSgtX8vhsZP%2BE6hHgAINAg0INBA%2Bb1xQccXxT6oD%2FrumY8F4yyoNkLxVuwwfSvQINAg0NChQMNvBRp6qtOHg1OC1yq6Zl%2Fx%2BSOgg4GGUWoK0Jq%2FDwsEny2CusEVwbNxrn%2B%2F%2BgAg0CDQgEAD5fbFnBamLzlWL%2FTVMyODpyymNsZ%2B%2BlagQaCBjgUazhFo6KteiwQXVXTdnuZ6BBowL%2F404bz3YTUFaOTfgrmC9YJDg4uDJyYy1y%2BlZgAINAg0INBAuX2xn0WxS%2F4TTKUfeuqXKYI%2F65mJ%2Bld8O%2Fj4YN9g8%2BDjwXIxzT9vvIl50%2BwxJLJksHrw6WB08N3g7OD2Qbw9W7wNO7veFWgQaECgQaChh7p9Lhhb8nX7uge%2BQEv%2BZvbKnAeQ%2F7w%2Fc3xuUzwjPS94yFwPgECDQINAg0AD%2BfRE8S3leyyKvWELPdFTz3xPr7zF48G5wV7FdrLBDCXVffJiC8Ngu%2BDE4I4ej%2B90fSvQINBABwMNPxdoGHDtFgz%2BWvK1%2BwvXJNChQMPiagqQ5Vw%2FTfCr4B8J5vqV1RQAgQaBBgQaKK8nVrMg9j9X6YlJ9sva%2BuSNz7NcHexTJPCLUFCN4zFHsFWxfXfcZcQ3ewUaBBoQaEi%2FENWpQEOs3%2FTxb11Z126x69B8rkugI39HRqopQJZz%2FXQJ53rPXgAQaBBoQKCBEnviFAtib7GQvphgr8wSPNrh3igWdnYKZs10fEYE68SHr8%2FFY76jzsBFC3p%2BTCbuzfB6OCaT2iyvVwUaJnCuPxFoGHQNpwquLXEeOdh1CWQ8B54k0ADgRQaBBgAEGgQaBBoEGshjEn1BiOEtvqU3Jtgv53ewHx4Jvtm0oEs43mmDbYON9G4rrr1zMrw23KcJNDQhkCTQkGanhjtL%2FBs7zLUJdODvyOxqCpDtfP9Morl%2BHfUEQKBBoAGBBsrph50FGN7h4WC4%2FnhHr2zRsT4ovh2%2BZTC58UegwX2aQINAQ1cDDbGWiwbPljSXrOHaBDrwd8R9E0C%2B8%2F3Dieb6DdQTAIEGgQYEGiinH24SYHhX6%2BqPt%2FRJ8amJJzoy9n8KPu4zDQg0uE8TaGj8uR4u0JC0ntuVNJec6NoEBBoAqHG%2Bv1ugAQCBBoEGgQaBBvLthQ8ILkzQr%2FXIW3rltA6M%2Be3Fj09BBgQaPJgXaGhNoOFAgYbkNb28hLnksWCo6xNoeaDBrm8A%2Bc73f04012%2BqngAINAg0INBA%2Bl74vuDCBL3qO6f%2F65NPtHysnwp285kRBBoEGgQaBBoEGiZZ0yWC10uYT5ZxfQJt3ulHPQEa%2F6z8v56nAyDQINDgQblAA9X3wYi4kCu8MGFf0Sdv9Mk%2FWjzGPwtmMicg0CDQINDQykDDngINpdT11BLmk%2F3UFmhzME49AbKe788TaABAoEGgQaBBoIE8%2B2ATgYVJukufXLJPS8f2%2FmAtcwECDQINAg2tDjSMFmgopa7LlDCfXKK2QIsDDc%2BqJ0DW832qz6zuqJ4ACDQINCDQQNo%2B%2BJ3AQk9W7nCPzF48fGvhmBY%2FVKc3DyDQINAg0ND6QMPuAg2l1fa6xLV9OhiitkBLAw1j1RMg6%2Fn%2B%2BETz%2FWj1BECgQaABgQbS9cDIkr5%2F3EY%2FtujVGs8HW5gDEGgQaBBo6EygYWuBhtJqu20Jc8r71BYQaACghvn%2BuwINAAg0CDQINAg0kF8PHCSo0Nci%2BLQd7JGlWxZ6uSdY0vWPQINAg14SaBBoSFLbmYNxieu7mdoCmc11XxFoABBg68NX1BMAgQaBBgQaSDP%2BQ4MHBRX6sp3F00a7NJjB9Y9rUqCBzgUaNhVoKLW%2B1yau74HqCmQ2z40WaADoxHz%2FZfezAAg0CDQINAg0kNf4f0xAoW%2FXdaxHVmzR2J0UTObaR6BBoIFOBho2EGgotb7fSFzfX6grINAAQA3z%2FQ4CDQAINAg0CDQINJDX%2BJ8hoDAgi3eoRy5uyZj5IYlAg0ADAg0CDeXV9xOJ6%2FsXdQUEGgCoYb7fLNF8f4h6AiDQINCAQAODH%2Fvie8cvZ7wA%2FUrGx%2FbdjvTIh1sSZtjLNY9Ag0ADnQ80fFSgodT6zp64vo%2BoKyDQAEAN8%2F16ieb7MeoJgECDQAMCDQx%2B7L%2BU8QL0U8HXMz6%2Bx4PJO9AjF7QgzLCz6x2BBoEGBBrCeYwSaCi9xs8mrO9ragpkNsdtI9AA0In5fpRAAwACDQINAg0CDeQz9rdmvAh9dHzT77WMj3GjlvfHoi0IM%2BztWkegQaABgYZ4rh8RaCi9xrclrvHM6gpkNMdtLdAA0In5ftlE8%2F331RMAgQaBBgQaGNy4L5%2F5QvRS8TjPzfgYL2p5j5zQ8DDDN13rCDQINCDQMN65LiXQUHqNf5e4xouqK1R6DU8fQ%2BUjoyWD9473P89d%2FGcEGgQa6FzvzxmsHHwu2Df4UXB68NvgpuCu4P5obPDYeP9z8SLNtcGFwanB4cHuxQsiwQeDadSYDHt%2BkUTz%2FcnqWftYDgsWCtYKtgsOic87zwquCm4O%2FhHnq3%2FFOezh%2BD8X%2F%2Fu%2FxLWT4hnMicFBwY7BOsH7gsnUGRBoEGjwoFyggXLH%2FbiMF6JvGu8418v4OMcF87S0P2YLXmpwmOHnwRDXOgINAg0INAg0NHpuWkpd3%2FFAtlhQ%2FlDwqWCHuLD0zeB78Xp%2B06%2Fe9j8X%2F%2FeDg6%2FE%2F94GwYrBvF34jBpv9M%2BMcQvtHWLP%2FDwuMt4dP6c3rs%2Fr85nggeD64Pz4%2B3K%2FYNMYnp%2B5hTVsZaAhzi0LBB8Ptg%2B%2BMd5iz%2BVxMefu8Rao%2FzXe%2F%2F%2FeuBh0ZeyDnwSHBaPjPLV0l0MwDezxIXEhd8sYWrg6eLqC3xEPBpcG3w02Lv7WGY9SnvEU9w8bBjsF%2BxefQwiOHe9e4fT4t%2BHN%2F%2FmHMYDyteJTnsFnYrClWBwe0fJ6zSXQ0MhxmzzegxShqZ%2FFv09lP9t8NfhbcHbxuzkGJ6YzHln%2BjlogrjPsEnwr3rsWc92vY%2BiuuJe5Iv6mPSfeB40%2FF%2B4f72%2B28TsVgQaBBg%2FKBRqobsynjg%2Bgcl2M3mW8Yx0e%2FDvjY92%2FpT1yYIPDDFd5MI9FQ4EGBBre5VzfJ9DQuLlphQ4vKC0cbBJ8OzgvuCc%2BMC0rpHtffNP2mOALccFiWn3d2B6aNlgzOKDYVa7G31OPx%2BcNP4wPj1cqfos2uK5bND3QEBd7Vgh2DU4JbqkoyP5QcHGc0z5dLBa6VrPp63niW8tFEO6JjH5bPBgX2IsQ1rzGqu8F3d2CHwd%2FKDGU8kjwx%2BCnMdC2UdzZZ0QL6ji9QENj7pmXKT43G1yW0YtZrwd%2FjYGhTwk41NIbQ2N4%2B%2BAYznwu8Rifos4INAg0eFAu0EA1Y75VxovRL779Wo9veOR6vP9o204A8abvnw0NMxTHPYvrHIuGAg0INLzLuY4UaCi9xuclrvGoDtVurrh97ZlxETiXuf1v8U3t4k2kBfR51g%2F0Pxjfor12ALstVL3L3d%2Fi1vNfjm8Mj2hInTdoYqAh%2FPveH%2BwV34B%2FIbPf0sfHgIMAVbU9sWCwT%2FxcRFN%2B698S3459rzF8x3jOH3wpBtiey2Qx9754PN%2BNu9sUi85TVFSP6cb7VNJgpKjFn%2BP552bZht%2FzFMHb78fgUxPmr1djqG%2FbYscs81bpLzEcUUGY91r1RqBBoMGDcoEGqhnza3L%2BVMC7HO%2FCmd%2BYrtGy%2FvhEQ8MMLxdvIrjGEWgQaECgQaChNfeYH2p5vd4fF2f%2B1KD7rbvjA%2BSP%2BWZwFj20bHzj%2FcGG3r%2BPfx9fvOX7nbi4PWfLAw33V9gb9zaoB86PnzqYyvVdSk9MFRfTrm34fFH4fTyXqTo8nrMHe8Yt9Zsybq%2FFQNuvYgBv%2FXh%2FPiRxbbZpQY%2BXbUwDe37uuPPUvS245%2FlV%2FDTFkBbMRSmDNtMM4jiK3RguqHAcH3ZvgUCDQIMH5QINlD%2Fe7838xm61CRz31Rkf86kWSrOwq2scgQaBBgQaJnKuMwk0lF7j2xLXeKkW1mi%2BGGK4swUPw58KTooPZIe6Birroeni5xtubfliy%2F3BL%2BJ3sIvdJ4YLNEzy%2BGaI33b%2Ba8PH%2Fpm4M8z7XfNJ%2BmLeGBZ6uoXzxJNxR885OjSeK8fdnF5r0Tg%2BE4M2Syaq0WcEFibpJw3q%2BWInpzNa1vPj74S2Q5M%2Fm5u4HgsN4N%2B%2FQHB2TeM3wn0GAg0CDR6UCzRQ7njn%2FPmGeyeUTs38MxnFN9pmaFHK%2F9UG%2Fgi4sG2f%2FgCBBgQa6vmhKNAwqBo%2Fm7jGi7WkLsXWuOsEv4nbMLfxwfgDwdeLt%2BdcC6UuSn4vk%2B3E61B8KuGqOnfHyzXQED8f8IOW9kbxTfTVzQED6ouFikXL4JUOzA%2FFp0vHtPnzk3FnpOtaPo5fTlSrtQUWJunMBvT86j2uWbRBsdPWTjmENwcwTs%2FXEWYP%2F9lhwVfiM%2Fm6xm1R9xsINAg0eFAu0EB5Yz08eCTjG7j9JrE94jN2Byi9R%2FZo4I1%2F8Z3pWV3jCDQINCDQ0MNbzQIN5dV3thLmlVkbXpOhMZR7Z4cekBdvz53W5G8zZ9hHI%2BNc%2FZoFmDd8q8axWDunQEP458zfod4onlutbE7oqS9mDX7UkSDD240tFsXb9EmkcC4fCK7oyPidmqhmq%2FhbOUkXZ9zzy8QwWxfHpdixYe2GzVFjqw40hP%2FcXJl8Tntt9x0INAg0eFAu0EB5Y71exjdt44obkkkc%2F3EZH%2F9fWtIjTUz8b%2Br6RqBBoAGBhhq2xBRoeGttR5UwrwxrcJBhk%2BCOjj8sv7T4nq3rY8B9NHPckeEVCy95bJOdcJ67f5DHUXxa4uiO9kbxGZJ5zBET%2FNtTfKLlP%2BaJS%2F7S9F2ewvFPG3de6VKY7c5EtVvKNTBJ12bY88XftuNbvJtZP04Jpm%2FIXPWvKgMN4T%2BzavBoJuP0BfcfCDQINHhQLtBAeWN9Xs6fDOjh%2BJfL%2FIZzmYb3x3wNvMn%2FjWsbgQaBBgQaBBqyqO1eiev7aEPrUHzb%2BhYPYt%2FigmAJ10lfi5LF95Sf0jt5vVWaMNDw70F8vmab4LGO90Cxc%2BPOPjn4lt54Xwc%2BRzCQT4Pu0OB7ifs6OGbFQva0iXavcQ1M3M2Z9fwGme8oXIf7i%2BfgDZiv7q8q0BD%2B71tmFuY8wj0IAg0CDR6UCzRQzjjPnnmy%2B1M9nsetGZ%2FDDxreI3s38DuZI13fCDQINCDQ0Mf5vizQUFptz0o8p1zfsPOfo9gq2cPXiX6KonijfAbXy0T7aNHgj%2Fplov7agkDD2AH8u4vtlS8x%2Fm%2Fxu%2BI5R8fnjCHxEwsv64cJ7%2BoSjGjIeBbfhD8o7mDa1fFaNUEdZ9H31Xz6KNFOJL8wHhNUzO3bZz5v3VZFoCH8376U4fic6fcLAg0CDR6UCzRQzjh%2FNeMbtMd6%2FcZh%2BM99MfPvNU7R4B65qWE39oe6thFoEGhAoKHP8x0r0FDaA%2FgnE88ppzXo%2FLeObwx78Dppjwebu27edVHyS%2FGNYn0yid%2BOXQs0hP%2F8ZxL%2F%2FWpVPwQf7fAD8F%2Frgd621y8%2B45P5eE4fP9XU9bH6SoJaTqmOk%2FREBj2%2FZHC3sejJd3L9FF%2Bx20fZgYaMX8D7s98xCDQINHhQLtBAOQ%2FIcr5JPLKPc5k587cPNm9oj8zZsJv5h4KpXd8INAg0INAg0JBFXVcqYU7ZvyE7oJ3nIevArp%2Buv1n9tt83F%2BmJvkxe01gtV2WgIfznhsdFDGM%2BccXb7Lt1bN5YMPibse%2FL34N5Mx3PuYPbjdEbfpmopuPUcuKfZKm559cLnjMO%2Fe0GUNf9zyTG8toyAw1FyCnjMXnKbxkEGgQaPCgXaCD9GK%2BS%2BU3Z%2B%2Fo8n19lfC6XN7RHPt%2BwG%2FmdXNsINAg0INAwgPN9RKChlLoeVsKcsm7m57yG79gnebP64x2%2Fdj4Y%2FEsv9G3emsZrqUTH%2F0qPb2v%2Fzlj3pfiszZAOzBsfLt6uNt4DUsy3C2X4yap7jM3%2FHzzJMMTcVsNr6vkvC5wM2MXBVA1cV%2BrVym%2F7Z2%2FegDHxHAyBBoEGE4RAA4nH%2BKcZ%2F%2BH%2FwwDO52OZ38ws0MAeObNBN%2FAP5phKBoEG92kCDY043%2FsFGpLXdGj825x6Tpk7453Pvu5BbFKH57qNbsm9tHHwgvEfkBUaHmj47yT%2BPXMFtxjnAflZm%2BeTcG6rZzBvvB7cGZwRfDvYNVg%2FfpJl%2BXidvDf%2Bvx%2BOx7xp%2FAzq0XFB7hGhhjfGc9rgr67bd5g%2Bs3v%2BtnpPDT3%2FjRx2pwiui8%2FKDwq2KwK2cQ5bOlg8KuawVYO1gm2K3eOCE4LfB8%2FXePyX5fRMNBzL%2BQnPbdR4%2F9yi9q804DpayjMBBBoEGjwoF2gg3fhOV%2FON1qRsO8AH5w9kfE4HN6xHhjcsvb69axtzu0ADAg0CDdnUdFQJ88n9mZ7r1MHZDbhXeiHe272pCQ8DL%2B3S35FwrntaSBmUDZoeaJjQonvcej63t7Vfe9ucknug69Q27tQQzukTNX1%2Bswgw3BDDfMXf%2FGkTnU%2Fx2cuN4gLhgzWEGubJICD5a%2FP5u1ojQX1vU8dJGtmCHd168WJwQbBLsEwwWaJA96LBjvG3wX8qPqfz6tpho%2BRnU6PGC3Y%2B2pDr6FOeCSDQINDgQblAA%2BnGd8eM%2F%2Bg%2FO9Afw5mkeif243hYg3pklQb94CpuaKdwbWNuF2hAoEGgIZua%2FrKE%2BeSUDM%2BzWHj5cwZzbfFQ9vp47e4T33ot7uUWDmaa2MPNuIX9LHFRdt34YPew%2BFD0wQzO7a7ctgIvaQHryAz%2Fhr8af8PcFt88vDDea4zv4vjsoLgO7qvh4f34dm5BoOE9GYUZHoxjXuyWslXw0WCxYMaJ1GLyeLwrxLfzvxgcE7%2BlncMLFce0bO5YtYadGW6Kfydmregci90dfhg8WdH53Z5iJ4BBnO%2FuGVwnT8S%2FvX%2BI8%2Ft54835xf98TdyN48mKj2vvBPW9TmBhkpaosN%2B%2FVkMQ79z492nKCs6v%2BJu4Qbx2qgoSn5TJ36dTUgYaisBJnJOqvh7GjRfcfK6P%2F96XPRNAoEGgwYNygQbSje%2F1Gd88nzSI85ovvimQ67l9okE9sm%2BDfnB9zXUNAg0INAzifG8VaEhaz7njA8PU88nWmZ3nQjUu%2BI%2BNb3DuErfBHV7iec4St9z9VnBzTef7eHGeLQ4zHJPBVvHFPHhS7KnV43U8bIDnNE2xIBJ8Mi5o%2FyT2zqsln8chNY3h%2FGXdN8WHmXdU1AcPB8cHm5TxeZ%2Bin2L4o%2FhO%2BkU17SpQ2L8lc8fSFQaIXov3hh%2Bo8XynDL4Qg1Nln%2B%2FldbzlHOeSFyu8FopQwmnBXnGnj0X7fVEkLtgWx71m%2FPtxVPDb%2BHc79fGekaDGvxNYmKQPVdTvO1d4Tk%2FGF%2BBmrzkEfWSfi%2BIDtV9Dnif0E2j4ZsmfGynWwQ4JtghWLEJ7wYhJBMLfF%2Be%2BrWKg%2FIfxmdxfgkM9V0KgQaDBg3KBBtKM7ZKZ3zx%2FeJDn99uMz%2B2sBvXJbxryY6t4EDazaxsEGhBoGMT53izQkLSeh5f0dswsmYUZ%2FlVDiOGkGC6YrOYHstvFBZ8qg8T%2FGf8bui26Xo6u6e%2FzY7GfPj2xN%2B5LeFNx%2BfhpjQtKWIw9saYxHJnwHOZ%2BW70uq%2BBN7KPijgpDKq5bsRjwuQrOsXVbQYfjn6OiQN24%2BOmHBTI69%2BFxIbTs3QG%2BX8O5nVfyORWLdmcGny%2B2bq%2FgfOaKwbZiIfKqBLuJ%2FCPBMe3zLjsN9SPVy2HFrjujMzV3Bb3xsYo%2BU%2FR0sbNHEbTMaA6bKd77vfZ%2F5QZVP1nzeX4%2F4fl8vYR%2BKeajnwdr2fEXgQaBBoEGgQbyHtujMl6c%2FluC89s44%2FN7paqtGQdZw6Hxxr8JgYZfuK5BoAGBBoGGbGo5W0lvHv2%2Bw2GGYiv%2FrYOpMhzv%2BeMbb%2F%2BuqBYvVPXmYEX1O6CGIPBp8dMBwzI4%2F%2BKN%2FeWKvyfBnxIEZC5qQaBhZEVhlz%2FF382TZzSvHlvh2%2BnF36n3NXTemCK4oYIaXZPzzjjh2GaIYYsya%2FC5Cs9nxRLP498xSPaemsdssnie%2B8VnzgPZgn%2FGms9hg0RjcmWHfyu8r4LdZYr7ieNyCkO%2FSx0WL3n35CIIvWCN5zcm8S5BKT%2BntVswnec%2BCDQINAg0CDSQ%2F7iOiG9h5Lo4vWeic3wy43PcowF9sniDtsNbw7UNAg0INAzyfG8SaMjy4dX4dsvk%2FKr8lv3vizfYGjLuxZvkO1W0FXjxEHz5Flwr21b8PfR9c9%2FVrNgKOtgmOHuAC9t%2FbkGgYeH4z1ynpF4ovj%2B9euY7Dxxb0e4vN09sO%2BmMa3RcBWGPnaresWMQ9Vg37jhTRi2effOabOjuDMV1dEROb6e%2F7ZynjnPdj4J%2F9nhOawo0NPrepxjz20uew%2B5pSvg17jhzQIm7VdxQ165u4d97UGbPpYq%2FbV%2B1GwMCDQINAg0CDerVrHH9TMYL06%2Bm2r0g8dZWqd3egD7ZsSFhhgeb8qAFBBoQaGj8fa9Aw6TruNgA37br5R5xlgzOr9ge%2FZYK5s17mrodenwwu1MF4eLHc9oCfQB1GlXStfJ2TwVfynF3jx5qNE2wSfHJvj7CDY%2FUdKzzJByzpeJ21Km%2FP39%2Fk%2BaVYmeAuItE2dfIkQ27Lj5Xcj1uqGoBP3Fd5ovfLC%2BrJsNKPv6RJYR4ih2NPtGgMRwSLBN37Ll1Iue1X0sCDTd09LfCz0uew07MNcAzibqsWeIuuYfUdE4HZvRM6opgXs95EGgQaBBoEGgQaGjeuF6c8eL02QnP8%2F2ZL8R%2FKPM%2BOaYhgYbvuK5BoAGBBoGGLGo4NO4oUMY8ck4G51dsk3xpBeHebwVTtqAfZoxvXJb5lvVddW89PcDazF9B4OPVuFvKjC2ZX94MN5wdP5sxsbeRh%2Bf6wLGPQMOpCf954%2BIb2k0MtRTz7mElzyNFfZZt0NzxbIm1OLnJb64WPR6cX1Jtdi%2F52L9WQl%2Bv2%2FB5f9Fg%2F3cJN5xd83GlCjTc3MHfCpuX%2FHnfHRpen0VK%2BqRdcU%2B4eA3n86VMnkcdXPxO9YwHgQaBBoEGgQaBhuaN6bwVbd04UOskPt8bMz7XEzPvlWsbEmhY0bUNAg0INAg0ZFHDL7b581Ilf8u%2BcG%2BwQgv7YtW4o1ZZdftd2W%2FOJq7HiAp%2BoxSLP0u1%2FOHe9nHefrfftnM2PNCQ8rM9DwQrt2DM14lvm5d1zdyY%2B2JHDA1eVWINvtKS%2BaH4%2FNGvS6jPM8Unp0o87tS7Sxzcsnl%2FyeDQeK%2F0oEBDI8dwrmBsiZ8iW6UldZqnpE%2Fb%2Fb7q3W3Dv290zc%2BhipDLZp7tINAg0CDQINAg0NDcMT0g44Xph1I%2FjIzb3eZ6vs9m%2FB3DIfEHe%2B5hhn%2F73AQINCDQkOh8LxJoGFT9lp3EW9ODcVvdf%2B%2FDv3%2BLkufJYu6etuUPY84osX7fbFAtyg7GFDt8jOhYYH%2FvOE%2B8WYPlaziO6RN%2F8z7FP%2BfituzQEWv8wRI%2BwzG%2BrToaGize5N%2BmZfNCEWq4pIRa%2FbKk452thM9yTtHSOb94VrVinQEkgYYsfmu95VNTReClZbWaLz4jT12rbSo%2Bj21qDjOs57kOAg0CDQINAg0CDc3eBvj%2BjBenDy3pwdILGZ%2Fz5zPtlZEN2Z3hZNc2CDQg0JDhtXNOx3plxvjGXFlzyOdqPr%2FFghdLPL9DuhDQjIsQ%2B5VYx7UbUINPlHj%2BY5u%2BvXiC%2Bi4ddzf4cMbPrqoypkk7l%2FT5lnZZn2spFoEnz%2FS85y7pUxNFmGHzls4HUwd%2FLqFmy5dwrJ9KfIxf9FtGoCGzmm1c0rz9aLBQS2v2%2FhLm%2FX9V%2BVm7Ys2oxvugjc1XCDQINAg0CDQINDR7PD%2Ba%2BeL0giWd988yPudrM%2B2V9RsSaHCDCgINCDQINNT%2FFuSVJc4fxZarw2s8v%2BLzADeX%2BFbsTh2cWzaKb02V8YbezBmf90zxGMvopTuDhf3tasSzqyrs3fI6r1zijkA7ZXrOZ5V0vtu3vFfmKyEAc3UJx3lw4nuLWczJAg0Z1Wu6uLtq6vnrqbbtzPAutft0CXXbt8Lj37Cm%2B6B9zVUINAg0CDQINAg0NH88f5nxwvQVJZ73qpkvyi%2BaYa98uSGBhlld2yDQgECDQENtNRsWnFby%2FLFpzed4ZIlhhs07PL%2BsVdIuamc1fE4diBstXmUzxuMyuOfasyO13rmk%2Bt1X51b2Fb%2BYsn9HemWdEmr38cTHeHbCY7vOfCzQkFm9yriXLoKxK3ekft8vYUev9zTsWunHeT5NjECDQINAg0CDQEPzx3LGEt9iyHor4bi97T0Zn%2FsRHbhhLsPdrm0QaECgIdMdnc7pQH8U91fHlDx3%2FLHOB1Lh371ciQuUnzfHXLJ68FIJtd0ww3Ndo6xQePGJPX%2BzshnnsTXfb321Y%2FU%2Br6Q6bpjRORafDb2lhHM8rUsLPuFcj0tcv6sSH9%2BfEh7bseZjgYaMajV%2FSc%2Bit%2BpQv00Zd%2BJKWb99KrzXr%2FI%2B6N8579YGAg0CDR6UCzTQ%2B1julvHC9Niyv%2BFV3KxlfP7FN98my6xfzm9AoOEnrm0QaECgIdO3p89peW8UOzP8pOR54%2FVgxRrPcXhJ394ufMUc8786b1RCaOSfwTQZnePkJTyILlwTTKWPBBqiMR2s91wlfF%2B8cHlG57hNCed3a5XfUM%2BkjsWW9w8lruMqCY%2FvwaYtVAo0CDT0WKsydgr%2BQQd7buXENXyiinvI8O8YVfG90CbmKAQaBBoEGgQaBBraMZa3ZLww%2FcMKzn%2FO4LWMa7BhZv1yWwMCDbu6tkGgAYEGgYbK6zRtcGEF88YPaj7P0SWd13Hml3fU%2Bosl1Pnwlp%2FfLXZmyLKXn6jpPqt4bjO8ozXft6RA3WyZhKEeTHxuz%2BX4ycuK6rlJ4lr%2BOtMw1BfMxwINmdRp6RLm55uCER3tu58lruUOFRzzMhXeC%2F3W%2FIRAg0CDQIOLRqChHeO4bOYL08vadeCSCzLrmecaEGhY1fUNAg0INAg0VFqj91UUeiwWcKar%2BcHBUyWc11W57crV4oe0LwbzZvJWcOpF7mI73bn1TZZ9fH8N91iPBLN3uOZTBY%2BXUNftMzi3ndp4XjXWc0jiTzu8lurvTOJAw07mY4GGlj6XeKmrgaxYz7nj%2FW2ycGwFx7xURfdCxXy8iPkJgQaBBoEGF41AQzvG8ZiMF6VvbuCPjjIUW%2B3OmUm%2FTNOAMIN5HwQaEGgQaKiuNsUnJr4UPF%2FBfFG8Gbt6zed7RAnnVWx1Pau5ZaKLkqnDMj%2FL4LwOLuGB7Uf0jEDDeD6h7pfsX0JdL6z5nIrPHj2Q%2BJwuLRb1O94rH0tc04MzDDSMNh8LNGRQo%2FeXMC9%2FWe9dclTimq5c8vEuWNG90MnmJgQaBBoEGhBoaMcYTlnztzwnZbcKazFZfIMl11rsm0nPzN%2BAMMNjrm8QaECgQaChkrosH%2Fy5wvnimzWf77yJ3356M7hqZ6ne3uJ6JXE4ZpEaz2eOEnY9%2B4peybqH%2F17x%2FZVP2Py%2Fus8c39xN%2FWmGYTWe06aJz%2BeF4ne%2Bfnmjtil3aShCJ0MTHNNDCY%2FpUOMs0JBBjX6aeA67McW11oK6zpn4XvmEko93ZEW7MyxkbkKgQaBBoAGBhnaM4RYZL0oXDx1mbMEbd6nck8MbE%2BEYlmtAoOF61zcINCDQkPh8TxRoeEs9Foo98HqFc0Xtn2QI%2F%2F4xbQtpNKzvvtaWN7bCv%2FvwxOdyddffrm5A%2F95c4Xz5UJ2f5smw9qeVUOMP1Hg%2BNyY%2Bl%2F30SWlhkdUSHFPK4OipxlmgoWWL7sVvkRX0Xikh%2FP8EI0o81pkquB8y5yHQINAg0IBAQ4vG8IqMF6V%2FUUM9Fsl8oX5UC7dhLMMvXd8g0IBAQ8YL2ec0uA5LxbeqXqt4nnig7k8yxLd8U79Rf3uZDwpbOO9MHtyZ4zfO%2BzyP6eND4pRvVy%2BsRwQaxrORmr%2Bl9muVUOMdajqXlUv4%2BzqFPvlffUcETyWs7zEJjunchMdzh3EWaKi5PocknsN%2Bqu%2FeUt9VEtd33boXYwdpFX2BQINAg0ADAg3tGL%2BFMl%2BU%2FmhNdbk245qckkHfbNaAQMORrnEQaECgQaAh2blPE2xZ4z3SM8EyGdThQA%2FZWrkweXgN57BX4nPYW280onevr2jOvFS931H7YcHjiet8dE3nckri8%2FicHnlHjX%2BYsL4PD3b3nPDf%2F3biMZ%2FLOAs01FSb1J%2F6LT4DN4%2B%2Be0uNhwT3NmE3s%2FDPHl7y%2FZAAFwINAg0CDQg0tGj8Ds14Qfq%2Bur5%2FFv6922Rcl%2BLtq%2Blr7ptdGhBo2Mc1DgINCDQINAz6x%2FEmxa5H8WFhXfNDsSXtmi18AFv4ublkwOPx24Tj8GSVbyfHh7cPJ367ekp90ZrnJyl2HVlMvd%2B1%2FiclrvUlNZzDjPHTnMkWe3x3%2Fl3rvEZOnycp4VOxo42zQENNtdkocS%2BP0XPvWufDUoayMljXM9eBQINAAwIN3lBI%2BiAttQNqrM3UwbMZ12bnmntndAMCDTu4zkGgAYEGgYa%2Bzm%2BK4tNWcReCq4JXM5gbxhWhipY%2BgC0WpOYzlwx4PJZPPB5bNXChw9vVAg2VvklpkfEd%2FlHDOXwx8Tlsojcm%2BLzsiYR13mOQx%2FPexOP%2BN0EWgYaaanNR4t0Z5tBz71rn5RLPGUuWeKzPl3Q%2F9Howp35AoEGgQaABgYZ2jN0nM16Mfr3uLcPCv%2F%2BEjOtzY8212bMBgQbfjAWBBgQasg80hP%2F3fXHHrJ3ivdnSwawVnMv0wYeLAGDxbefgT5kEGN4eZtg8o%2FG%2F1Btl2V2TKcfkigqP%2BzcJj%2Fsui1KN6tmLK9jRRlBq4n%2F7XktY75drOIc%2FJTz%2Bu80fE631aQlrfUGC40m9S9SnjbNAQ8V1mS3e36fq4R%2FotwnWemjiUNYuJR7r2JLuiX6vFxBoEGgQaECgoT1jd3bGi9EXZ1CfFTNfsP9AjbU5sAGBhg1c5yDQgEBDAwINxcOm695tkSR%2B%2B%2FSa%2BMmHI4IvBRsHHwmWKN44iT9gJ4%2F%2FrOHxf547WDRYJfhMsbNT8M34z7kh8cOtMhflNs1o7OeJgduU5ze3eWTQ4%2FKJpgWqi8XmxL20rV5wDzaeH6nzJMfgj4lrPluFx576Lf099cRE6711wlo%2FUdF9d187jARTGWuBhgrrsntTdg1oSb1%2F2YTP5IV%2F9kMl3RPtoQ8QaBBoEGhAoKE9qdhXM36I%2FelM6nR7xjX6vkDDRK3tWgeBBgQaEp%2FvYakDDfGfu3Tit5Wa7j%2FB6pmN%2FR6Jz%2FEkc0iyt8%2F%2BmXBc9q7gmPdOeLyPvBlowj1Y3HlgXnWe5Bh8J3Hdl63w2L%2Be8LhfrWJHqIb3ypyJe2WhQR7Pp0qYN75nrAUaKqzLdQl793q9Nsl6fz5hve8p8TjvL%2Bm%2B6L36AIEGgQaBBgQa2jFuOX8y4IlcHsyF4%2FhyxnV6KhhRU12%2B2YDFkFGudRBoQKAh40DfOW%2F7Z39fkOF%2F2%2Bcv1oE3epc1hyQbm4MTjst1FRzvrQmP9zA90Lh%2B%2FUWJ8%2BcpatzTGHw2cd0%2FWeGx35zwuM%2FXD5XP2RsP8limiKFPn%2BsUaGhqQCjlDlVf0GuTrPncTXhmE%2F65d5Qwrz2oBxBoEGgQaECgoT3jdmfGD7KPyqhOs8QtgXOt1SZ2aJigdVzrINCAQEODAg3TBf%2FueJjhjGDaDjyAvcH8kXR8Fkj82Yk5SzzWRXN625ds%2F24O1IfUuKcxmDdx3Tev6LhHJj7ubfRDT3X%2FUcKaH5rgeE4oYe54wfyRbaDh9hbVZMfEfTuXXuup7vcmrPkqDQjrvelk449Ag0CDQAMCDe0Ys5Uyf5i9RGb1OjPjWv1WoGGCNnC9g0ADAg1NCTTEf%2F4mHQ0yPJPz74XiDbDE57uL%2BSP5GN2ScHx2KPE492vSbhI0KtBwt%2Fr2NQ4PJ6z91hUd8xcTHnPxmatZ9EJPdf9cwrqfl%2BB4PlDiTqmLG%2FPsAg33t6gmvxEOrqXuP8%2F9N0wJO%2BFZi0KgQaBBoAGBhhaN2UkZP9C%2BPsN6rZ1xvYq3yEbWUJMvNWBx5DOudxBoQKChSYGG%2BO%2F4bcfCDBfk%2Fs33xHPmON8sL2WMDk04RmeWeJx%2FSHicexr7RvbqD0uaS7%2Bhvn2Nw7lN2%2Bkg%2FHsuTHjMV%2BuDWnYBujfRMV1R0jzyeLCkcRdoKKEeI%2BJOIKl6dV99Vksw%2B%2Bga15bsYgYCDQINCDR0cLymDZ7L%2BKH29hnWbGjwz4xr9o0aajK6AQskO7nmQaABgYYGBhoWDl7uQJDh7034PFQ4xmHB003fXasDc9GKCcfoqeL%2Bv4RjnDkGWlId54LGvpG9OqakOXUp9e1rHA5JWPvRFRzv5Imf4%2BynD%2Fqq%2F6OJ6v5qMDzB8Ywq8f7sP8GHjbtAQ%2BJ6rJa4T5fRZz3XfumEdb%2B4pGO8qIR5bIjxR6BBoEGgAYGG5o%2FXthk%2F2H6%2B%2BH50pnU7OOO6PVjGQ9dJ1GPnBiyUeEjTrbltnuDwYK%2Fg88Eni%2B%2BAxoXBGdRIoAGBhqYEGuK%2F5xstDjL8M35Dd3hDxvyDic9%2FtLmjtODJswnHadkSjvGzKQNBxl2gYfzfg2rb9zhs3LBAw0cS98xy%2BqCv%2Bl%2BQWxgt%2FHMuK%2FFe7UU7Xgo0ZLyT1hNVPwNteO2Hx2s6m11mKng%2BdZWxR6BBoEGgAYGGdozXHzN%2BwH1y5tsMvp5x7T5WcT2a8I3vMa75Ts1tH%2B%2FhbZhHgtviFp2%2FCo6Jb2ftFmwWrFUk%2FYO5gykFGgQaEGioMdAwRXBPy4IMfwu2K94ybdiY7524DouYO0obq0sSjtOuJRzf8QmP71hjbmeAJvyOzngcFktY%2F70qON79Eu9CM0wf9FX%2FgxLWf81Ex7RM4l1%2F3s3e3nIWaEhUj2sT9uXpeqzv%2Bl%2BfcJeZMnYx%2B6XnwSDQINDgQblAA2X%2BaC%2FDKpnX77KMa%2FerimuxZgMWTs503dt9JsGuMQ8Efyq21gtODY4qvtcY3y7%2BdDFvxbl11iY9GBRoQKAh70BD%2FHd9tAUhhleCM2JgbEhDx%2FzshPV4wLxR6lgdkHCsTivh%2BFKGlD5rzP0d8bxl0G%2BsvpKo%2FgdWcLy%2FSdgvZ%2BiB2hanC9skPK7vVXAvd1rbw%2F4CDaXXYrKEOwQUttVjfY%2FBsQnrP0dNzxTcF4FAg0ADAg0dG6vvZPzA%2B67cH3THN7hzrV%2Fxre2ZK6zFMg1YRPmz675T89vXM%2Bm7J%2BJ89vvg3OCE4LDgK8W3CwUa3KcJNFiI6jXQEP99P2tgiKHY0eqaYKdglhaM%2BYMJa3OqeaPUsVor4Vjdk%2FjY5kh8nc1nzP0d0Q%2BDHovHmxBoKJ6TBE8m7JexxSIpfXk4Yf33T9gb0yS%2BT5mQG4N5zRsCDQOsxQqJ%2B%2FERc1Lfxias%2Fwol9MhxiXtkJfMQAg0CDQINCDQ0PxH7WMYPv7%2FagBoW2z8%2FnXENR1dYi3kasKDylGu%2FU3PczxvQk18QaHCfJtBgIarPQMMsiRcxSvubW%2ByMVNzztyHEMF79Z05cp53NG6WO1%2ByJx2v6hMe2fsLjetx4N7pPU3%2FG5h51HfBY3J9oDI4s%2BTjf27JPUHXdjxL3x9oV3uutY%2B4QaBhALXZz3bfKuiX0yJjExziLeQiBBoEGgQYEGpo9ThtlfDNUfINr9obU8eiM63hrhXWYqiE32rO6%2Fjszx93UgH7cUKDBfZpAg0BDP4GG%2BO%2F8fIbX671xC%2BLdgw%2BW8S3VTMY79Se2ljZvlD5mKQPcKyc8rkMTHtfFxrrRPTo68bzyE3WtPdAwpuTj%2FLQFtFb5VQk9clSFx39Ykz61KNCQRS1OdN23yrYl9MjhCY%2FvWXMQAg0CDQINCDQ0f5wuzPhm6NwG1XHpzG8sl6%2BwFmMbcKP9Udd%2FJ%2Ba3ocFzDejHFTKqmUADAg0DO9%2Fv1hBoKLaavqrG0OltwS%2BLLZKDT3YpLBjOdc%2BEtXwtmNy8UfqYXZHjzkpFCCHhcR1lrAUaxrO7ug54LP6eaAy%2BV%2FJxHmwBrVUuK6FHJo%2BfhajqHIr70jnNIwINPdbiT677VvlqCT2S8qWBv5iDEGgQaBBoQKCh2WM0dzAu45uh9bwJnsxxFdbh5gbcaH%2FJHNCJOe59DfnhN5dAg%2Fs0gYbGn%2B%2BYqgMN481zL5d4%2Ff07Ppw%2BKW6HXuzstUTxybKO9%2FcJCWt8mzmjcWP2g4THlfIb5zsYa4EG34nO6vfsySUf53kW0Frl1pL6ZGTFn5l9JFjDXCLQ0MPLJy%2B67lvl2yX0yf4Jj%2B8scxACDQINAg0INDR7jL6W8Y1Q8QB9eMPquUvG9Xym%2BBxERXX4dQNutH9hDujEHLdlA3rxtZzmOoEGBBqaFWgo4UHP231NP79rzS93T9K4Mdsnt087hH%2FOdImv19WNtUBDVLy0MLW6tj7QcLsFtFZ5uMReWTl4pcJzGRfvT4eaUwQaJlCHeV3zrXNS5vdGR5uDEGgQaBBoQKChueMzJH7nONcbocMa%2BofipYxrulUDt90uy4PmgU7Mcz9sQC%2Fem1nNBBoQaGheoGGy4K8lXX%2FF7g%2BL6ul31PyBhDU%2BSE0rGbNNEo7Z3xMd04qJr9eFjHWje3SHhL1wp5oOaixSbdF%2FWsnPc162gNYqr5Tc11vUcE6XBDObVwQa3qUOq7nmW%2Bf8zAMNY8xBCDQINAg0INDQ3PFZPfMboYUbWtefZ1zTqyuqwe4Nudmex1zQ%2Bnnutgb04QUCDe7TBBoEGgYTaIj%2F%2FuVK%2FIzY771h95ZajwheT1jfbdS1knH7SMIxezXF7krhn7FZ4mt1hLFudI9uXeffEfp%2BllXrOMTPh1pAa5%2BpS%2B7tfWo4p38FHza3CDS8rQ7bud5b5%2BoS%2BmQngQYQaBBo8KBcoAEL790Niry3ghqs3ZCbbfNPu%2Be42RvSh98VaHCfJtAg0JBiAST8975T4nW4m77%2BX50XSVzbVdW1knF7b%2BJxmzPBMe2b8HieMM4CDWV%2Bx9qzrOwCDStaPGul2Svo78NqOK8iCLhnsbOI%2BUWgIdbh66731rk583sjgQYEGgQaBBoQaGjwhNb5TyOUuPVjpz%2FlUTzgbcjN9unmg1bPc1s0pA93EGhwnybQINCQKNAwVfCPkq7D54pv3ertN%2Bq8UuLaLqCulYzbDInHbfkEx3R8wuO5yzgLNIxnDzUd1FhclmgcfteARVE69gJK7J9v1XR%2Bvy7%2BHgs0CDSE4z%2FW9d469wk0gECDQINAg0ADZYzNLhnfAD1TPJBveH2%2FlnF9%2F51ii9weavBkA262nw6GmRNaO8%2Bd0ZAffasINLhPE2gQaEj1Rmf4765R4rV4sd5%2Bo8afSlzXqdS1stBxynFbL8ExXZzweP5gnAUaxrOZmmZxP3xlice4k8WzVlq2wj7fu6Zz%2FEeV55nh%2FLKeQMMbdfi16711niyhTzZKeHzfdI%2BDQINAg0ADAg3NHJs%2FZ3wDdFwL6jtXid%2BxzuIBbA81uKIhN9xrmBNaOceNiOGo3Puv%2BAb7tAIN7tMEGlpxvsfk8u3z8N8%2FweeaSh3rHRPW8wXzRaVjNzbh2O2Y4HhuTHg8vzHGje%2FPjfzGad398FUlHuO%2BFs9aaVTFvb59Tc%2BuXg527uj8Mkqg4Y06XO16b51XMt%2BN6ED3OAg0CDQINCDQ0LxxWTrzG6DlWlLnCzOu8bkVnP%2F3GnLDfax5oZXz3PoN6b87W%2FwAV6DBddi1QMPJGQUapgseLOl6LBaE5%2Bp4b%2B%2BX8i1F80WlY3d%2FwrHbO8Hx%2FCvh8ZxpjG1DPp7F1HRQY3FWrt8TH%2B8YD7d41kob1NDvnywCljWd7y%2BCaQQaOhlouNn13kojMt3RRKABgQaBBoEGBBoaOi5HZ3zjc6s3bCrxWjB7yee%2FVUNuth%2Br4hMcVH79%2Faoh%2FfdzgQb3aQINAg2pAw3xeNYs8Zq8sOO9fVTCWt5svqh07O5NOHaHJzielxIez8nGWKBhPLOoaRZ%2F08sMNPj%2BfDttWVPPfzB4tK6Qf7CEQEPnAg33u95baeZMrxeBBgQaBBoEGhBoaOCYTBE8nfGNz0Oxb9rg95nfZH615F5b2FsQ1HjD9mJDem93gQb3aQINFj%2FKCDTEY%2FqhT0%2BUMtY%2FSVjHK80XjX0b8PhBHstUia9JgQaBhje9qp7Z%2FE3%2FW0PuO%2F4bd5g8h9p9rMa%2Bnz%2BGC%2Br4vfd8V%2B4tBRr%2BV4cnEvbPE%2BaObMwq0AACDQINAg0CDaQak82kRYnuDoaU3G%2BPNqQWF5gfWjXP7d6g63BFgQb3aQINFj9KDDRME9zn0xNZj%2FVF5ovGBhp%2BMchjmVmggZICDQ%2Br56DH4se5LziWsCOd%2B22Kvpq%2B5s%2BnnhhMKdDQiUDD2IR9c7Xrt7XXy4oCDSDQINDgxl2gobtjcpmFfMazSsn9dnZD6jAumMcc0Yo5bkhwR0P67rkcP3ci0IBAQ3sCDfG4VvPpieRj%2FeuENTzbfFHp2P0pl%2Bs0%2FPdHJr4ejzXGAg3RTeo56LEY04BAwznutympt4YFR9T42%2B%2BWYsdPgYZJerrhdUi5q%2BbNrt3WXi9LCTSAQINAgxt3gYZujkexfdzrFvGp6k2u8M%2Ffo0G1OMI80Yp5bo0G9dzFmdZQoAGBhoGd789zDDTEYyvz0xM7drC3z%2Fk%2Fb9W3%2BfdpJbtrhP%2F%2BkomvxTHGWKDBzi%2FZBRqeEGigwdfBFjV%2ByvHZ4DMCDRPfLc0ODQINAg192VNNEWgQaBBoQKChOeNxsAV83uU7hdOV2HMfbFAt%2FlNmLahsnru0QT23l0CDB6wCDa0KNJyTcaCh%2BPTE30u6Pl8qHjR1rLevEGgQaCj%2BWRk9oBVoEGgY30%2FUc9BjcVTuC44l3LPPbux5lz5bpthppMbfgUcHkws0CDQINHR2DlooYZ%2BMVlMEGgQaBBoQaGjGWAwN%2FmkBn3exQ8l991iDavFV80Wj57llG3btfVCgQaBBoEGgoYpAQzy%2BVUrcqasIS0zrN45AQ8fG7o8CDSTuz3US9cJh6jnosTgw0Vg806B79pHGngn02kzF7oI1%2Fha8oU39KdAg0EBffTJSoAEEGgQaPCgXaOjeWKxt4Z4JuL7k3vtZg2rxRPEWqzmjsfPceQ3rtWECDQINAg0CDVUFGuIxjinxOv2V3zgCDQ0Yu%2BtzeXheQqDBW%2FkWud60h3pmE2j4b4Pu2QUamNTLKl8LxtX0e%2FCpYF1zvUDDBNzuOhVoEGgAgQaBBgQa2jMWZ1q4ZyKWKLH3Nm1YLfY2ZzRyjvtQw%2Frs5IxrKdCAQMPAzvfyBgQapgzuLPFa3bUjvX2ZQENjx%2B7mXELBJQQaTjHGFrmibdSzE4GGkxPPIYsYe3rou1WDh2v8XXhYri8GCDTUGmi43%2FUp0CDQAAINAg0INLRjHGYJXrFoz0QcVfL2hOMaVIviR9Us5o7GzXNXN%2Bya21CgQaBBoKF1gYYrcw80xONcscS%2Fyy8Xn%2F%2FpQG%2BnnCdPNV80NtBwZWaBhnOMsUBD7veZDRqL0QmvzRElHeNJieeQpYw9PfberMGlNf42%2FF0wo7m%2B8YGG%2BxP2xKOuzdbON7MLNIBAg0CDB%2BUCDd0ahy9bsKeH7e8nL7EHr2lYPY4xdzRqjvtsw%2FrrpZw%2FbSLQgEBDuwMN8Vi%2FXeL1em8wvUCDRWiBhkkeyxKJr72LjLFAQzRKPbMKNLynpGNM%2FRmplYw9ffTf0LiTSV0vrxT3m4sLNDS6h%2B5K%2BWKS67LbC7ICDSDQINCAQEN7xuE2C%2Fb04DMl9uAuDavFa8EHzB%2BNmN%2BmCh5sWH9d2KGFOoEGgYYuBRr%2B1KBAw4iS7w%2FPFGjo2W%2FMF5WO3S0ZBRpGJr7urjTGAg3etO9UoOHQxHOIIAwD6cM1gkdq%2Bo34bLC%2BQENje%2BemhL0wzvUo0NCDz6sprh%2BBBoEGBBryHoMVLdTTo4tL3pJwXMPqcV3x1oF5JPs57ogGXmufE2gQaBBoaGWgIeWb31dUcLzLBq%2BWeN3u2uLe%2FrlFaNsbD%2FbeOfz35058zd1gjAUaokXUc9BjsXXCa3Puko7xK4nnkPWNPQPsxWJL%2BMtq%2FK34VYGGRvZN6p4Z4noUaLAGBQINAg0INDR7DE6wUE%2BPXg%2FmbdCPlSp80TyS9fz2wbibRpN66rmcPzch0IBAQzaBhisrOuYDSrxuXy5CE%2B6vJx2gNF80NtBw5iCPZerE19zfjbFAQzRSPbMKNIws6Ri3TzyHbGLsGUQ%2FDgsOis%2BV6vi9eFKZn1EVaCilDmcm7oEZXYutnFumFmgAgQaBBg%2FKBRq680f%2FWQv19OGAEvtxpwbWo1h8XtB8kuX8NkVDP6dzagNqK9CAQMPAzveuBgYahhdvdZf8fePpW9jb301Yo7vNF40NNJyc4HheSXg8TxhjgYZoVvXMKtCwQEnH%2BOnEf7N3MfYk6Mu1gsdq%2Bs14RTCDQENnX8Bb2DXY2nlFoAEEGgQaPCgXaOhA%2FbexQE%2Bf7ivrMwvxj%2BgLDaxJ8emJ4eaU7Oa37zX0GltboEGgQaChtYGG%2B5sWaIjHvWjJf5%2FPaGFvH5iwPo%2BbLyodu6cSjt2YBMfzaMrd1oyxQIP7piwDDUuVdIwrJ%2F57%2FQ1jT6LenDO4qqbfjXcG8wk0NKJPvpl47Fd0%2FQk0WIMCgQaBBgQamlv%2FayzQMwAfLbEnT2loTQ4xp2Q1t32ioX30cBPCMQINCDR0K9AQj323kq%2Fh7VvW26MT1mac%2BaLSsXspp%2FvD8M%2F4W%2BJrbXrjLNDgvinJWHymAYGG9yaeP35o7EnYn8UnKA6p6bfjQ8GSAg3Z98guicf9k649gQZrUCDQINCAQEMza7%2BIhXkG6Bcl9uUqDa1J8R3IT5hbspjb5k%2F8dmWVDmxIjQUaEGgY2Pk%2B3OBAw5DgdyVew88H72vRWG9uEbqxiyspx%2B0LCY4p9XW3gLEWaHDflGQsNkh4Xa5Q0jFOnXj%2BON3YU0Kfrl18EqmG349PlXXtCTQkq0Pqz%2BZs45oTaLAGBQINAg0INDSz9t%2B2MM8AvRzMWGJv3tnQujztIXHt89qUwV8a2j%2BvFVtvCjR4MC%2FQ0OpAw9imBhri8c%2BT%2BBze7pZgREvG%2BmMWoRs5bjMkHrfPJDimnyc%2BpmWNdaN7dA33Ta0MNIwq8TifTHicvzP2lNSncwfX1vAb8j85hhoEGv5Xh2UTj%2FderrfWziFjBRpAoEGgwQ8%2BgYb21n2y4BEL8wzCbiX255cbXJfbvEVZ27xWvD18RoN756wG1VqgAYGGDgYa4jlsUfK1%2FO2WjPVSievyQXNGJeO2cOJx%2B3CCYzo88TF9zFhbRHff1KlAw3UJj%2FNOY0%2BJvTo8OEyoQaCh34W2PnzftSbQYA0KBBoEGhBo6PaPb7rp5hL7c7rgmQbX5rfB5Oaayue1wxt%2BTa0u0ODBvEBD6wMNzzY90BDP4%2FSSP%2BH0kRaM9eyJ67KOOaOScftQ4nFbKMEx7Zz4mD5vrP2Od9%2BUZCzWT3hdrlvicZ6S8DhfMvZUcG19soZPSBb%2FvkUFGrLsh5S7zJzrGmvtvPGCQAMINAg0%2BMEn0NDeup9vQZ6ct6wN%2F%2BwjG16bnxY7BphvKpvTdm94v9zUsHoLNCDQUN5vjiYEGmYMHirxer6vCDe2YLxfSliTncwZlS2ipAznjEhwTGslvr72M9YCDe6bslpwLGxQ4nF%2BI%2FEcMqfxp4Lra97gjxX%2Fnry%2FCKQKNGTXCyl3mbnF9dXaOeO%2FAg0g0CDQ4AefQEM7az5H%2FFa7BXkG60cl9mnxne5XG16fY4QaKpnTPt%2BCa%2BmzAg0ezAs0CDQ0JdAQz%2BWjJV%2FTP27BeN%2BdsB6HmjMqGbMdE47ZA4mOacHU96fGWqDBfVN2gYZPlXicqT8VtZrxp6JrbLIaXnS5LkUYUaAh311mgqGuL4EGa1Ag0CDQgEBDc2q%2Bj4V4Uv04CqYssVd%2F3oIaHWbeKXU%2B2zwY1%2FAeuadpP6oFGhBoGNC5DmlToCGe05iSr%2BtPNXzML01Yi1%2BYMyoZs0MTjtlliY6p%2BKb4KwmP6wJjLdBQvP2snlkFGrYu8ThXSPy3eRfjT8XX2nrB0xX%2BrjxRoCGr8T8w8fgu4LoSaLAGBQINAg0INDTnYfrfLcST0BYl9uvicbvexu9kYaeGUvpj5xaEGQo7NLD2Ag0INJT0Q7FhgYYpgttLvK4fz2Xr3wHW5wdd%2FTRRg8csZZj22ITHdXPC47rLWDe6RzdN1Acj1bMzgYapE%2F9msssLdVxv8wc3VPjb8nMCDVkFWlKO7fquKYEGa1Ag0CDQgEBDM%2Bq9qgV4Erui5J79ZUvqVCzaDTcPJeuLvVrSFw8Ekws0CDQINAg0DMD1mZzXUsHLJV7bv2lqKDAc924J6%2FCsOaOSMbs24Zh9OeFxnZrwuF51T9roHt1aoCGbsfhwwutyx5KP9daEx%2Fon409N19zkFewO9qZn6tzJJmGg4ZUWjPtcicf2INdTK1%2FeFGgAgQaBBg%2FKBRpaWO%2BfWYCnBAuW2LPvC15rSZ0uCaYzFw2qH4YlfuO1bls3dBwEGhBoqD%2FQcHNG5%2FbVkq%2FvnRo65mskrsP85o3Sx%2ByphOO1esZBzgWNd%2BcDDYurZ5JAX6prcnTJx%2FrjhMdahBgn0wPUeO1tGD9%2FWvbvy0vrCtWm3AGmJWP%2BSMJxvdh11M0FWYEGEGgQaECgoVm1ni54weI7JTg0gwWvprjFG1GDusm6oEW9cEcR0BBoEGgQaOhMoGHeFgcahgZXlXh9Pxcs1MAxny1xHT5l3ih1vGZPPF4zJjy21RIf2yeNeecDDUupZ6cCDbsknkNW1APUfP0tGtxfwW%2FMLQUashjvlM%2BBivDqUNeRQIM1KBBoEGhAoCHvWu9k4Z2SPFTmwmyxiFFsldeiej0ZrGVe6qsHFgvubtl186kGj4dAAwIN%2FZ%2FryLYGGsY7v2dKvMavaeLDx3iP1IgAqfko6Y4aDyQ%2BtmmD1xMe3yHGvPOBhpXUM6tAw%2F4lH%2BuKif8m760HyOAanLO4Hy75N%2BbDwTQCDbWP9QGJx3UZ15BAgzUoEGgQaECgIe9a%2F8nCOyX6ZMn9e0TL6jUu%2FigbZn6a5NhvFd%2FObdP4%2F6Gp34QXaECgYcDnumCbAw3xHLcs%2BTof3cBxT%2FlG2ZXmjVLHap%2BEY3VWCcd3S8pttI155wMNo9Qzq0DDgSUf6%2BTB8wmP93d6gEyuw%2BmDq0u%2B%2F%2FyGQEOrQqeFPV0%2FAg3WoECgQaABgYZ86%2Fx%2BC%2B6U7OwKfqg%2B1sK6XeMTFBO9qTq1hWNevGG5bMPHRqABgYZ6Fz4K92V6nmeUeJ0Xn05buGHjvn%2FC838pmMLcUdpYnZvzg%2FLwz%2FxB4s%2B4DDfujezTLybqgU%2BoZ1Z%2F1w%2Bq4HgvSni8Lxc7x%2BgDMrkWpypCNiXff84q0FDrGE8RvJhwTK9w7bRutxaBBhBoEGjwoFygoUV1%2Fp4Fd0r2atk%2F8sI%2Ff%2FuW1q7YonvHJr%2BxX8JYr5N4m%2B6cHN%2BC8RFoQKCh%2F3NdOnHP35%2Fpec5U8vx9XZN2NwrHunri81%2FN3FHaWD2acJw%2BWMLxfTpxL61s3BvZp6MTjf8G6plVoGFMBce7R%2BI55DP6gIyux2IXkgtLvP88pOLzEWh4Z01%2Bm3A8XwtmcO20pjdGCjSAQINAgwflAg3tqfGI4EkL7lRgz5J7eWgF30is01XBIh2fr%2BZo6a4Mb3q66rc7BBoQaMjmXEd1IdAQz3Wtkq%2F3rzRo3KeOD01TnfsR5o7sd7N7rozQTfHgPX6yLNVxft3YdzrQsKl6di7Q8IHEf4tP0wdkuFPDFSXdexbPVKcRaKh1fPdKPKZbum4EGt7FNmqKQINAg0ADAg311nhjC%2B1U5G8V9PMKiR%2Fm5uaV4LvFJzY6%2BEbFHnG3ijZfI19oyXgJNCDQUH%2Bg4ZHMz%2Ff7JV7vxacXFm3Q2F%2Bb8NzvNneUMkZ7Jhyji0o8zj8mPM4bjX0je%2FVAbyC2MtBwbAXHOyTxTjQv%2BOwEGV6XxadK%2F1zS%2FeeuAg21ju0yicfzUteMv8fvYrSaItAg0CDQgEBDvTW%2B1EI7FVqpgp4e04E6PhbfwJqy5fNT8WBt8%2BAfHRjTa4pdRgQaBBrobKBhg8Q9Pzbz8y2%2BdXuHT0%2B8UYuvJz73xc0fycfo8oTj88USj%2FNriXtpLuPf2UDDzuqZ1QLKyRUd87GJ5xDP6sjx2pwvPk9Jfe95i0BD7c%2BOHkw4nsWLUnO6Zvw9FmhAoEGgQaABgYa8buRft8hOhU6qoK%2BnCR7oSD3%2FFezUtmBD%2FHzIJsHtHRnHl9r0ORGBBgQasgg0PNOAc1467jxU1nW%2Fb0PGfsXE5324%2BSPp%2BMyaePev%2BUs81sUS99KX9EDj%2BvVwD%2BwFGgZxzGsmnkP%2BoBfI9PpcNfEnv960pEBDreP6ncTjeYDrpRV9sZxAAwg0CDR4UC7Q4A2Osv07Hh%2F9Oy3jcX2uiq0nw7%2Fj4x0Lijwe3%2FCcpeFz0rTBbsE9HRu%2FvVv2t0WgAYGG%2Fs91y9R935Dz3rvE6%2F7lYImGhPj%2BnfC8H2rK7hQN6dGdEo7N7RUc750Jj%2FdPeqBx%2FTrGvWk2Y7F8wmvxrIqOebLgqcR%2Fi5fVD2R6jR5cwr3nwQINrQoJF%2FfUk7leGt8XowQaQKBBoMGDcoGGdrwBnfNb7AcbpwGP7XTB8xmP7bYV1eHEDu6A8XIMtKxRbLnXoJ5dNji6eKO4g2NWbIs%2BXKBBoIHOBxq27migYVhwdYnX%2Fo1NeBAZjvH4xOe9gTkk2dhcl3BcvlXB8R7QxLdNSTb%2B30807geqZ1YLKOdUeNwnJZ5DTtEPZHqNjkgcAizcLNBQ65im%2FuxEYTPXi7%2FHAg0INAg0CDQg0FB%2FbdfMfJFvAeNU%2BiJQXf5QUQ2KT0%2Fc3eHPexQ%2F5A7L9a2YcFyLxjdzb%2BvwGD0bLNjC%2BUegAYGG%2Fs91txL6ftqGnPvI4D9dDsmGY%2Fxo4nP%2Bozkkybis0LQ3lcO%2FY97EnxT8kV7o5G%2FAb6lnVgso5zf0uP8bt%2FVfSE%2BQ6XW6QQn3nbM06Tpt4Zh%2BM%2FF43lG8EOh6aXRPrOMzJCDQINDgQblAQ%2FNre3rGi3yXGaNBj%2B8qmS%2Fkvq%2BiOhTfSnu1wwvm44cbjos%2F2KevqSeniEGqI4Jbjckbtmrp%2FCPQgEBD%2F%2Bc6ust9H451ixKv%2F2Ix5UMN2Kni4cTnvap5ZNDjkvIzbndWeNy%2FTfy5uBn0Q%2BcCDWPUM6tgwJUVv%2BF8V%2BK%2FRyfrCTJ%2Bo%2F%2FmxP2%2BYcPml6EtG9MFEgc7C5u4XgSX7GCFQINAg0ADAg311XWmuDV9rot8mxunJD%2FMct6d4DsV1mJfC%2BdvUfy4%2B2vxxl3c4nyZImyQuObD4w4MnwmOLHblCF5S%2B7f4RYvnH4EGBBr6P9f9Suj72YRt%2F%2BeeYuemzM%2F%2FOwLCWY3HfMErCcfjGxUe%2B6aJe2l%2FPdGYvj0j0Zgfo57dDDTEY9%2BjhGDhe%2FUFmV6r2yfu9281bH55TwvH9LLEY%2Fq3tn0mtGPX%2BGcEGkCgQaDBg3KBhmbX9YsZL%2FKNTb242uFx%2FmrG4%2FxYVd%2B0jm89XmoBfZIPmf4e61R8x%2FtrwU7xxn%2F14i3PYKnxfCj%2BiC6SztsGewVHB%2BfFsMTLajpRRdhoOoEGgQYEGsY71wNL6PuRDavBjMFDJc4Dx2V%2B%2FouUcM7rmUtqf9P9zTDpfBXvivVkwuN%2F0t%2FRzt2DeaM%2BrwXH6yo%2B9pkTB7oK5%2BkLMr1WZ0jc7%2Bc3bH4Z2cIx%2FWwJ99S7uF4a2w9bCzSAQINAgwflAg3NrutfM17o%2B4ExSjbOs8eF6lzH%2BlMV70pyv4V0MlBs3by4h%2BkCDQg0vO1cv11C3y%2FSwDp8tOS54JOZn%2F%2Flic%2F3rqoCpC2bexYLxiUch9%2FUcA6HJO6lb%2BqNRvTuBYnG%2BzT1zGrB8eYajv%2BEEv4Gr6k3yPR6vbZJn5hKPL8s08LxHF7C878nfYKrsf2wY8I%2BGKOmCDQINAg0INBQbU2Xy3yxbxnjlHS8z814rC%2BsuBbL%2BuwBGfiMtwMFGhBoeJdzHVNC3y%2FV0Fp8r8S54JEi5Jjxua9TwjnvZT6pbVH4TRvUcA6zBS8mPIfin7Wg%2FmjF85NenKOenQ80LFLCd%2BiLHQGn1B9keL0ekbDPX2jY%2FLJuS8d01xLuqU90vTSyF0YLNIBAg0CDB%2BUCDc2t6bEZL%2FT92RglH%2B%2F1Mh7v4s23uSquxzYW1KnRER2ZdwQaEGjI4%2F5s5YbWotgu%2F84S54MzMj73IcFtic%2B3CHMuak7peQw%2Blbj%2B%2Fyg%2Bf1bTuRyf%2BFwu1iOdCTT4PMDgx2KNhNfevTWdw1kl%2FA3%2Btv4gw%2Bt128R9PlWDAg27tnRMpwqeKGEOW8M107he2Cfh%2BP9YTRFoEGgQaECgodobuv9kvNi3q3EqZau1RzIe86%2FVUJPvWlinBufVtaAh0OA%2BTaChNefar1EN31GszM9mbZbxuW9dwvle15W%2FQYOs%2FXTBv9ryzeX4hvW4xOezrV7JuodvSjTOV6rnoMdig4TX3f01ncNSJezSUPxtX0GPkNn1%2Bokm%2FfZMHGj4dovHda8S7qnvC6Z13TSqDw5MOP4nqykCDQINAg0INFRXzy0zXux7yXVU2rgflvG431u8jVhxPYYFZ1tgp0I3lf2WhkCD%2BzSBhsaf6y9K6PsNGl6Tg0qcE56sepeoPs578vhWf%2BpzPtS8Msna%2FyRxzZ%2Boe3v1EsJSzwUL6Zdse%2FhmgYZWBhr%2BWeN5nFrSguD0%2BoSMrtdRiXt8tgYd769bPK5TBg%2BVMIf9wnXTqD5I%2BUmZM9QUgQaBBoEGBBqqq%2BdVGS%2F4nWqMShv392a%2B2Lt6TbuVXG%2BhnQo8EMzRsTlHoAGBhjyum880vCaTFZ8jK3Fe%2BE3Voco%2Bzn2zks55fXPLBGu%2BeQn13jeD85o3eCXxeRWfRZlG32TZx%2FclGuO%2FqGdWgYaxNZ7HgiXMIYUzc%2F0bTCev148k7u95Sz7e5RMe64MtH9vtS7qn3t6105geGJNw3M9RUwQaBBoEGhBoqKaWC2e%2B6Oc7ZOWO%2F9UZj%2F3Pa6rJrCW9AQnjvwG8eAfnG4EGBBr6P9cLS%2Bj7rVtQlyXiLl5lzQ07ZHreQxJuHT%2B%2B4tNzi5hf3lHv4tMMzyau9b%2BDqVv4IPd%2Fb3T6jEmWvfzPRON7s3oKNIx3LkeW9Dd4f71CJtfrWol7e8qGPd%2BdvcVjW%2BzQ%2BtcS5q8i6LWy66cRPXBiwnG%2FRE0RaBBoEGhAoKGaWn4r40W%2Ff0jnlz7%2BW2U8%2Fi%2FWNYcWW%2BaW8K1keHPRaIWOzjcCDQg0lHPP26%2BdW1Kbr5Q4NxTb58%2Bf6XmvVuLOQXObY%2F5X55mCu0uo8y4ZneMswdMlnOMxeii7fh6baGzvUc%2Bsdn15qeZzmT54rKS%2FSZ%2FVL2Rwvab8PO%2BzFd27pLwOP9fy8R1V0vz1eLGLjWuoFc8UfJILBBoEGhBoyKiOw4OHM174k8wvvwemDp7JuAd2qbE2i8UfIhbhSeWFYiGqw%2FONQAMCDf2f67Ul9P3oltRmaHBNifPDNbm%2BaV7St8vf%2FGTADOaYSyYvqbfuKf7ZmZ3rbiX10tGC6VmN8wuJxvV%2B9Rz0WGyd8lrL4Hy2K2kOKd5y%2Fpieoeb%2B%2FmbCnr67onvjlNfhKR0Y4zNKmsPuERTOfuzPTjjef1BTBBoEGgQaEGgov47rZrzwN87NX2V9cFzGfXBTzbV5f3yj3mI8KR7KrdPxuUagAYGG%2Fs%2F15hL6%2FoAW9cICcTeFsuaIvTM979lKerO%2BcEPx5n7HwwznlVTbtTMNuP%2B1pPM93ucnGvXsqhePqqdAw9vOZ0iJn7Esgjir6xtq7O%2BrEvbz2RUdc8r7w%2BfK%2FkxGBmM8Z4nP%2FP5WfNLWtdSJ51M3qykCDQINAg0INHRzcelNFxmjyvpg%2BcwXgpeuuT4rCDWQ4PMp65lrBBoQaBjAud5WQt8f1LJ%2B2KXEOeLVYNlMz3v7Es%2F71i4Gi0sOM5yR8XmvHLxe0nmfG0zjb1et4ztVwvEcq6Z5BRqC6TI4p0WDl0sMNayrd6ihr2eILyWk6uX9KjruO312ou%2Ba7VTiPXWxU8MCrqnGri31vMudmiLQINAg0IBAQ7k1nD0%2BpM11AXAj41RpP9yacS8cnUF9PuDzE3izSKABgYYazvX%2BEvp%2BTMv6oXg79IoS54m7igXBTM%2F9whLP%2Bx%2FF57c6tuh7fkm1fDaYK%2FPzP7LEXiqCWQv7%2B5X3A8cePa%2Bmgx6P7dp4LxuOY5%2BSd%2B%2FcXv9QcU%2FvnriPP17Rcf8m8XH%2FpQNjXfyWuLzEOeyhXAPSdmBJNsb3qyl%2BXwg0CDQg0FBuDffKeAHw8dy%2BL9uBfvhSxv3wVDBFBjVaPPiXBXr6UOzsMcocI9CAQMMgzvXREvr%2BmBb2xPwlf3ri2EzPe64SPz3x5kL8eh2YU4qg959KrOPODajBiJIDzs904S3PTMd23jZ94qAF4zE68bU1UybnNazET0%2B86YfBZProLXUvtstfPOE%2Fb5rg023%2FzECPOzY9mLB3ix1Mpq3o2H9QwrW3TgfGfJ5iF6KSd%2B3c3Lz1jrovGcxc07875acdHzSeCDQINAg0INBQbg3vyngR8DvGqPJ%2BmLnEbSJT2DSTOi1U0tuytM9jwQfNLwINCDQM8lzLeLB2ckv7YseS54t1Mz3vDSuYKw8Ohre0b5Yt%2Bd7ukuLNvwY9VH6%2B5F46I5jN37LKA18px3CoumYVaBiZ0bmNrOBTjX8sfpMLMVyyW3BN%2FFzQ6IT%2F7KExIFqE0E4J1u5iiKT4PETivr24wmPfo4Tr7u9F8LED475pBffUx3X9U1zh%2FJeJvy3e%2FDzKoi3YqXisexwEGgQaBBoQaCivfitnvhC4uHGqpS%2FOyLgnLsvsLb4bLdgzEXf7TqJAAwINic51XBkLii3eLvbSkncQmy3Tcz%2BygvnyhmCRlvXLlxJ%2FH%2FvtHinuGxtWl60q2n1tu64tjIfznTt%2Bp%2FuCKncjDP%2Bupdw7CTRUeH6fqmAOeS5eS0M71DfzxoXqN0MM49djs8T%2FrrfvWPRksVNVsfNgF2pevJRQwss%2BW1V4%2FGuWdN0d1JFr7bgK5rAiILJyh%2Bav4p57ueCw4N53qccsNR3X%2FQININAg0ODHnkBDM%2Br3k4wXAq8zRrX1xccy7oviR%2Fv8GdWq%2BM7yuRbueRd%2FqGvLPIEGD%2BUFGtoVaIhvyZXR9%2Be2%2FIH%2FMyXOGRfl%2BLZ98fZkj7%2BPBuuF4KtN%2FzRcOP754liWWasijLRmQ%2BtzbEV%2Fg29q8wP9uAX%2Fh4ND37at8QMVH8dy7p1aHWh4X0dDdoXr27wjXji3BYO9Y6BwYnX4WOJ%2F748n8u96OBgTrNiU3YcGEDx7OHGfFp8Gm7rCc5jhXUIvqe5rPtqBOXpEyZ8he8uuecGsLa3j0Pgy5Xcm8fmWcXXNJeHf%2B5BPcoFAg0CDH3sCDfnXbtoKthIdjO2MU603nA9m3BsHZ%2FiQ8vsW8BnPaUXYxXwi0IBAQ5U%2FEgfgypb3x%2FYlzxu7ZnreM8U3vqqYO4stYj%2FewN4YHuxZ0W%2BhvRp8DRXfDr%2Biwr%2FFFwcrtGT%2BmTHYOPhZ8EQOO8%2FFt6pTjtd87kUGNR5fSzweS2U6115S4YsPv6xry%2FISard4sH9wSx81WCbxMXy5x3%2FvfcERbQk3FOGg4J8l9OiRNZxLWTuK%2Fid1v2UcfH2kojms2HHmoDY8l4hz%2FxrB0X0Egx6t8XhTf9pxuPscBBoEGgQaEGho3kPewSgeLk5rnGrtj4My7o9%2F5rjFYbymXraY32njmrxwIdBgbAQasj3P2Urq%2Bxs7sK1pmZ%2BeeCl4f6bnvmj8NEZVc2jxm2xUQ3pik%2FhJqCrq8vOmL%2B7Ehfm7K%2F6bfHmwbpO2NB9vF4ZvFDsN9viZoB9VfIxrJx6nhdyLDGo8Dmx7oCGe5%2FTBHRXOH68Fvyquxwa%2BDb5WfFHivgGe%2B9yJj2kgnyx4KC5irt7EXZzCMX8mLtaXsbPVHDWcz%2F4lXmvFjhMrdWCuXi6OX1VzWLG4%2Fu2mhQZjoPpzMVj29ADO%2B44aj%2F0Fz5ZAoEGgwWQm0JB%2F7a7LeFHwx8ao9v4YWdL2dKl8PNO6LV9Smp%2F8Fd%2BBXsv8IdCAQENJf5PL6Pu%2FdaBHyv70xN%2Bq3D54APckz1U8lxa%2FzTYoFnczfFOseFv%2BLxXW4qqmf5LjbXPQv2r42%2FxAXPRdMNNwzBLFTi3Brwf48P5LFR%2FzBl1YQO9woOEj5pB3%2BHPwxSIYmukc8v5iHgguSLRj0BSJj3HOQR7Ps%2FF3385FD2R%2BPS4YgzBl9eIhNZ3XwiVfY6%2FEa6yuTwUsWsXOTvHv57iK568inHVeDNlMkeE1MyLu%2FHRIH0HOLHcOLGHs5nafg0CDQINAAwIN6bevy3lhcGXjlEWf%2FC7jHjkz47rNWvH2vNSv%2BLbiAuYNgQYEGhp23%2FZgR%2Fpk55LnjxMyPvfVK36rbPzdtA6o%2B%2B2yuBizbw0LacUi2vQtu46WrHjXj7e7KfbUB%2BvYuaFYTAg%2BFBcfz0xUi09WfA5bJR6TldyLZBVoGNWAe5m65pDX4s4vewSL1XT%2BU8RdXPaIC%2BePpd6uvqTjfirhMd4TnBjnopGZ9OVCwbFxYb7Me6KpazzHyyq4xq4p%2Fj5XNF7bxR2wHqoyLBL%2BPVvUeA9U7Bpyerx2Zq1xB4ZPxN18f1fC74tf1XReU5YwXgu6z0GgQaBBoAGBhrR1%2B27GC4N3GaNs%2BmSTjPuk%2BME5c%2Bbbzn6jhhQ31TuyLW9gCjQYG4GGbM9zqbK2NO1InwypIGj4WaGGiS5E7x3fZh9SwfnOHewUd0ioY7exW4NZWnot1R1qeFOx68olcUH4Y8E8ic9z5vjW4W7BccH1JS12LVzx%2BO2Q%2BPhXdy8yqPE4JPF4rNGAc14meCKDOeSxuLPKV%2BMC3bwl7A718eDLxe6jwQ0lL5gX7i1pzK4qeReeU4PRcc6dvcIXULbp8XlyCmvXfN2tU%2BG1dUnczWCyRPfvi8SxKn7z3T%2BBf%2BcOLQpJ96r4FNhP4vF8JJgh8a5mxc4Xn4pB0uITEndVcE7H5LwYawcrEGgQaECgob6aTZ7Jg6gJ%2BYpxymoLsacy7pUvN6CGxVsY%2F7Do30qP1f1wQqBBoEEvdSbQMKqkvh%2FXoV6Zv%2BRF%2FbE5b6dc7H5W0jeh%2B%2FV4fLt99%2FgA9j2DPK8iQLpYsGnwg%2BDOms%2BvtWGG8Wq%2BRE1bx0%2Fy7eT4SZGziofiMVhcLJJtWzwPCLYMNo%2F%2F%2F8IXgn3id6qLN4Z%2FE9xW4WdaXk2x4NPn2I1OfA4buBcZ1HiM6eJ4xGDUY5nOIXcEF8c54dtxjvjCePPGlvH%2F3SVeTwfG%2F9wv4sL%2F34OXajr%2B60sarx9WfB7F53v%2BEIMgX4tvxX8kfrZk%2BACOf7LYc8U%2F5ztxB6Uqz%2BeHmQR7b674vIv74jPi%2Fd4qk7o3Kv7v8V61CC98MwYjev2U08crrufWmb649HgMEf863gcVddwzhhnfPoeNjv%2B3Yg47Ot47XRd3vXitpuM%2FqKbrY%2B4SzsUOVgg0CDQINCDQkLBmn854gfDVqlLZ9NwvR2fcL7c1pIbTxS3xhADa4xxzlUADAg0VnueaJfb%2BFB3ql9ElzyN%2FGMjD9ooXoh%2FIcP4tFsevjgtCR8YHrLvFB66bxUWIbeL47RMf0p4fF69fzOg8fl9sx9uhgNDt7gcH5e81jNv%2Bic9hU%2FciAg2D2Db%2BPvNAUhe2%2FI30%2F8ZF5Ifi3%2F9iy%2Fuz42%2BB4k314%2BP%2FvwhNXhDcGDxS005N%2FwuZ5LKTY9zNKIddVh%2BKOy3cFf%2FfR%2BJz4MH8c99XQz0%2Fm9k9aBvsUtO1MbKEc7GDFQINAg0CDQg0JKzZRRnfwPzaGGXXLx%2FI%2FKZ3hQbVcoPxvvNHMz1ZvN1nbhBoQKChhr8fZfX%2BTB3ql6HxG79lziWHZl6D2YJr%2FT1P%2FxsmmKpj828R2L3Q2A%2FYBS34xIHnLHkFGjZt2PnPEoNg5oM0flLSOH1EbQf8OY05%2FQavxDQ11fNDme4201SbtOiZtx2sEGgQaBBoQKAhUb3mqTmhPCnrGqcs%2B%2BamjHvmhIbVcvrgWD9WGukMuzIINCDQUNN5blpi74%2FsWM8sWvJ20MXbg6tlXoPJ3YukDbEUYZmOzsHFJz8OznTr5dwd1YIF9NHuRbIaj60bWIMpguPMB0l8u86FCt6x9f8iGV5vc2b%2BSdmBeKrmmo6Mn2rQ94P30ZrGcJkSzsUOVgg0CDQINCDQkOk2kyk9nPM2vR3vm50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htVmqqaV7SwJB%2FPy7ssbBLKTOI594lnnNDXo%2BkhU2GTk6cnBjtYr3j8%2FB9%2BEB8ocpoL5WPHNdMPje3WfLp%2BPYH8fXy%2BcxI2RkugBN4PXAEXOEZKYZhGEazgx2wCH7KKisr6zWrZHiQzibx8%2FZhu4XtH3Z0ymaV3JIyScpcHWb2UgjQ2Mn7T9jf4nnPCjsoXs%2B3ghSH0Zzpb8zJiZMTo70An4fvwwfiC%2FGJ%2BEb5yElLYQ3OTk3qiQ%2FL5zMj5WhxAZywPRwBV2hGSj0cotMUwzAMw%2FjiYNjWsGHDGicOV1dXr0HZQJDOTgR9YX9MTbNKUIX5R9gzKZs8zI4dJQGLWuO8ODZdAdq%2Fw25jujFNmkGCG8Rttb81JydOToz2AnyefB%2BN6qfhE%2BUb35GvbO41%2BLF8%2Bzj5%2Bmfk%2B%2B9MTTNS%2Fsi1B1fAGXAHHAKXeICjYRiGsdjBXVgH9PLZ5WLgFrtekIvUWahn%2Fm3cnqmAj50zduiQnnxfwR%2FKMOjpz15KyQmlBewIoiZD%2FfMN8doOIxgtLy%2Fv7d05JydOToz2AHwdPk9r%2FTB8oXziW%2FKRs9LSSU5my8dP0TX1vjjgP%2BKEm%2BAIcQUzUraEQ%2BASOIXXrflUHZLLvAzDMIwFAILojE49OvlBJN1LS0trSkpKegWxrBr%2Fvx6KLEE0P2FqcPx8fjz%2BjrCnUqbmgn7%2BHJHWojZdLokVKnfR8PlA2CnUW0vWslv8vzX3nZw4OTGK1V%2Fj21ZgrePz8H0pk2t%2FQD6xUKFraa%2FH3O%2FPERe8K264A66AM%2BAOOERcsircAsfANXCOZqR0tr82DMMwGoEuPQ2LYZXBdX2CSFZHGpKJwPHzjhBLwawSju3vFvm8nbLj%2FWUdoBVKC3%2Bo13JpvN79qHNGMYb3UlNTUyoSN5ycODkxigWd8G34OHwdPg%2Ffl7Im%2BKe0xhdXOrg5bZq44SlxBZyRz0iBS3aEWzSPZXU4h%2FcCB3lGimEYhtEIjtgZoBWBzira2do6bHeaK1M2q%2BTClJUL3Bv2RNiLCpDYnZvTQgFaLndJTfV%2FU9aUyRTjnSC9eC8DILyUnaAYTk6cnBjFghXwbfg4Bfg74fvkA%2F8rn%2FhRah51xC9ic8QN74grnhB33CAuOV6N%2B3DM1nAO3AMHuSTXMAyjHQdwuSHviC495KCmyh0I6OLnY1I2q%2BSelNUwv5yyOuax6YvNKlla5QSzRYJ%2FDztbc1a%2BEe9hHWqxKRlIrml2cuLkxCiS9Y1PU5%2FJOvg6fB6%2BTz7wndTU69dSfnn%2BGSljxR0vi0vgFGakHKOm%2BR3gHjgILpLk8HIFZhiGYRQhGmuUI3hZnqNzdPHzvpKI4%2FrGLSpcX4n7vhskcQADvOLnq%2BPfPJSynTh07aeL9FoqGVkYGfL6UKe5Pl7%2FsfH6f0oDZtwOlrSwSwWcnDg5MYrCl%2BPT8G3ycT%2FF5%2BH75APHt0L%2F%2FJG4Y7peH5zyEByjQboHwD1wEFwkTmrsR4Gr4Cy4K7mH0DAMo3gwcuTITgQtBG2VlZV14fQHdOnS5f%2BCGDYKYtg2bFfp0x8VDz9PgRzSkC8rmFsas0qa01CMYXLxg%2FHeruR98J7i53WR2XQds5MTJydGMQBfhk%2FDt8lvH4XPS9nQ21flC1vz%2Bp2ta%2FBlcQzX5Xny2fvrPW0LN8FRcBWcxTXN2obLvAoMwzCKAOw6sdtWX1%2Ffq6amZmg4%2Fo3DRoXj30ezSk4PuyLsdpEcQdxrKRu0xW5XSzRVLo7NSE1Dwf4e5HYJu3HxnjcrKSnpaUJzcuLkxCiWjSZ8Gr4NH4evS1k5Vz70dkYrX78fi1M%2BEMc8Lc65XRx0umak7ANHwVVwFtwFh%2BkExTAMw2jLYKeNGuV8iCKkFo7%2F%2B%2BH0f6NZJTdrB%2BvZlO28vZs%2BPatkThtITuakppIBSPquMMq7RjGdmMFfhcGrV4WTEycnRlta0%2FkP%2BDJ8Gr4NHydf91JqKr2dk1p%2FcjInfXpGyrvinmfFRTdrRspv4Co4Kx%2FiCJf5JNwwDKPtklnjMEWaC1F2Uf8Fu227x8%2B%2Fi9tzUzbRl4AN2ceJBclIS6m8NIe0MFOL%2Fxl2frzPPWkaDUKrpW45ZTr6Hb08nJw4OTHaEPBZnfFh%2BDJ8Gr4NHydfNy61rHTwkqou5snKRHER1%2BmdcJS4ane4Cw6Dy9Qw3yG5Yd4wDKNtBWj5hPdBgwatWFNT0y8c%2B8hw8j8KOzp%2Bf3nK9OefSU1DFJf2sK6lTXJ5koJCDPKV1%2Bl0aGvKArp06VJHc6USFMPJiZMTo62gM74LH4Yvw6fh2%2FBx8nXTCpKStry2P0pNQxyfEUddDmfBXXAYXAanFUyYd3JiGIbRRtAB593Q0FBCwMKROIOvUqaFj6rL4ykrBXgvZUfrrb3hfXECNyQs3xSxnRjve7R23VYvLS2tjfscvDk5cXJitCWU4LvwYfJlo%2FFt8nFvyue15TU9f8P8FHHTS%2BIqOIsZVjvCZaxzuE0zUVziZRiG0UbQcdSoUV8aOXJk14EDB%2FZgyJXKACjlekw7UxNTy88qWVqylWP1Pi%2BP935YBHG7sesWP6%2Bi0xPvtjk5cXJitIn1LOn3VXT6vRs%2BLWWn34%2FJ1xWb%2F85npEwUV%2FE%2Bz1WZ7npwGtwGxyWX6RqGYbS95CQCl3pNEd4r7r8o7KmwCSmr8c2HdX1SRDZXpPZC2F%2FjvTOY8WAaSJGmjJ8rTWhOTpycGG3Fl%2BOzJP2OwMfB%2BDR8m3zcxFQ8pyaFPYSzxVETxFkXwWFwGZzm5MQwDKPt4VNlXWVlZWux45YyyWBkG99MTQ3wxZacfKJdNxormUZ8awSopzKsDFnKIPl6Sws7OXFyYrQF4KvwWZJ%2FZ7jsqfg0%2Bba35euKzX9%2FnJoa5N8UZ50Oh8FlLusyDMNoowFa3hCP9CLSk2Hbx%2F2HhV0b9kTKNOYJ1GYVIbnNErG9FfavsOuD1H%2FPcK8gt%2F5B%2BCt4iTg5cXJitIHkZAV8VnzX26ic63r5tLfk44rVf38ojoKrrlV57vZwGZzmhnjDMIw2GKDJGk9QtPO2UdiPw06K%2B29MWaPhGylTRyk2csvrlnlv7C4%2BFHYamvmlpaXDevfuXT569OjO0sv3zpuTEycnRmtCB3wTPgpfhc%2FCd%2BHD5Mvelm%2FL%2BwWLzX9PFTc9Hmv8RjhL3MXU%2BPqCExNLCRuGYbTVYC2IrXsQHIpd3wxnf6CGL94R9nzKanqLrWZ5bsHtFL3PK%2BJz2I%2Bm0tra2r6BbmGcoLjEy8mJkxOjNaETvgkfha%2BSmMfPUzZB%2FXn5tLmp7UsHf976nqD3eQdcBWfBXXAYXOaExDAMowjAMXhZWVm%2FcPIbhHPfWRr5l4Q9mjK1l2IjuPmlKV8Puz3e%2F5Hx3neKz2Bd9PLjMymPgG55rxAnJ05OjNYCfFJ8j93xUVJa3AnfpQ2l11PxSL9%2F3voeK266RFPid4a74DC4zCvEMAyjOLACk3UDAzkaD0e%2Fa9x3XNhdKatdLsbSgMISLzTzKYc4N977L%2BMz%2BBZTlsvLy3tHAFDq5eHkxMmJ0VqAT8I3sYkS63iH%2BJ4PiLvPkw97rx3467fETcfBVXAW3AWHwWVeIYZhGEUAanTDsXfJE5SysrLNw%2Bn%2FKn51TcoGXU0vYrJD%2BWW8AtObguhOCNLfV1OWh3B6klwm4OTEyYnRStYvPomBi2qC3099gjdr%2FY5PxamwmNt0cdI1cBRcBWcFKuEw9ZsYhmEYRYAOSFKi%2FFJbW4u08PBw%2FD%2BM%2B89J2YCr90UKxTr3ZHLYK2EPBtlfFe%2F9T2E%2FQDNfU%2BM7JTdXOjlxcmK04LqVdcInxXe7ftjuYceE%2FSXu%2F0fYq%2BnT%2FSbFNtdkurgITjoHjoKr4Cy4SxLwFjAxDMMoFuL75JNPlrv66qs7Dhs2rBQ5Rkqb4v6jUqaZ%2F2zKJvFOTsVZzzxDpMfQsvvDLqbJMgLXr0UcS3P8Cqjj8Bk5QXFy4uTEaAn%2FjA%2FCF%2BGT8E3x%2FR4Uv7s07IGw%2F6SsF2NGKs6%2BwMnioGfFSUfBUXAVnAV32T8bhmEUIXDugwcP%2FlJJSUmv0tLSr6IAE87%2FXAKdggSlGEu8IL8pSlBeDPtb2HFBfjuGDY7AroxyAUkLm%2FycnDg5MZbpmsX34IPwRfgkmuBTU1%2FgS0pM8GFzUnGWcuWJCev6XLgJjoKr4CwlJoZhGEYxkmBYxyC%2BahrCw3YJ%2B0OQAcpd94W9HDYpFW%2FZALuO1GwzXfnC%2BBx%2BghpOBHf17M6pnrmjl4mTEycnxjJE48BcfBC%2BSApdP8FHyVeNl%2B8q1rLbSeKe%2B%2BAiOEnctA5cJZ%2Fs5MQwDKPYg7cggVXD%2BW%2FBcCt6MFI2OZ7Jwx%2Bk4m64ZHAZtdsM9zqExviamprV%2B%2FbtW1tZWbkiu3ReIk5OnJwYywr4HHwPPghfJLGOQ1I2LPfVVJxT4As3jj4Q91wLF8FJcBMcxbXsxMQwDKMdANWTkpKSHmVlZWtJEYYA7oyU9WMQ%2BBRj6UBhcIccJydFJwcRjo7PYbPa2toh1dXVNXGfgzsnJ05OjGWJEnwPPghfhE%2FCN8lHvZuKew7VHK1nuOcMrlc4CW6Co%2BAqLw%2FDMIx2AHbqysvLy8Lx96qsrFxLcz9%2BnzK5SnbqZhYxGWKUSfwz7Kp4339EFSc%2Bg03j5wHsYHqFODlxcmIsK%2BBz8D34IHwRPgnfJB81vsh98Uxxzs1wEFwEJ8FNcJRPsg3DMNoPqOH90qBBg1bs3r17zyDEEUEMe6dsajwB3ETtaM1Nxbdrl9c402R6b7x3ek8Ojff%2FHUksVySXETg5cXJiLKP1is%2FB9%2BCD8EX4JHyTfNSkIvXBc8UxE3Vd0muyN1wEJ8FNcFRyD6BhGEb7IUT%2Bg0JMBDQroQ4TxLBz3MWwL0oJXhMpzkzFWeI1LeztsH%2BH3RGEeCZBbHwOm5SUlPTUbl3ehOlEpXiSk2fCJhRBYPeuk5M2738bxUmkntgT36OSpjPxSfJNb8tXFWMp10xxzGvinJPgILgITpJyYrL%2FNQzDaIeAHCOW6xPEsGUQw29SVk7wSMqO2j9MxVniNVPv7fWUNWLeINWyb6CrHwFfVz6XUaNGWSWmDQZ%2BmrA9hMbi%2BF73jftODLsl7DkFRG19%2FSKJzanfn52ctM01im%2FBx%2BBr8Dn4HnwQvkg%2B6fV24H9fE9dcBffAQXCRS7kMwzDaOSBJTSQeEfajsOPj7uvCHg17I2xqKs6du%2BkiyDfDHgw7nanxlFfU1NRUW1q4qJKTkwqSk8lFsH6ZeTFGycluTk7aHOZJB%2BNrVE76A3yQfNGb8k3TU3GeXE8Vt8Ax18E54p4RcJE2hQzDMIx2jA4RwHUPUhga5LAdw68isDtZwRxDsSiDKcaa57y0gGD1%2BbAr4%2F3vH5%2FDVyLgG7DqqqtWoBSjBMVoQ8nJfGVd%2B8R9f06ZLGthz0lbNaRX5%2FWcVFdXfz%2BSkw2dnLQd4FPwLfgYfA0%2BB9%2BDD5IvmpyaSmqL0fdOELfcAtdoGPB2cBBcBCd5lRiGYbTzYA61mLKysn7sXDGZOG4PivsvCPtHymR3i5Ekc%2Fso7K2wO%2BN9H0VTak1NzXoR9PWPQK973759V%2FASaZPJyWrxXX5Nc3yOUuDHen5NCcoE3WIoIn0gG1dgY%2Bez92XvFdi7n2OFj8n%2F3fx%2Fr%2FC58ucfX%2FC68tdJ0%2FAkBa25mMMt8b6OjLW6cwS6I1ZeeeUBAwcOrPR6bf3gO8K34GPwNfgcrdE75Ys%2BKlJfm28Kvadr8QK4RpwzAg6SWqJLaQ3DMIy0ApN4GXoVtxvF7a5x3zEiS2qfZxYkJ8WYpBAUPhx2frz3X0paeZ2SkpJeETyUenm0reSke%2Ffu8fWttIqkWXdVLxWNxjfre35WxkkKjcdM4Ua29fGwx1JWbvKI7GEFUg%2BlrOTm7ymbyUAT7xjZvfNZfv99euzf9W8f0t96uODvP6rnfFyv4Um9Jl7bM3qd7Ka%2FGPbflE3S5t9dzvuqqqraIQLddVdZZZX%2B7MQ7OWn9wKeUl5f31gT0HWKNHqDNoEfki4oxKclP%2FWZqgwAhkmPiM%2Fi%2BOGdVTYP3%2BjUMwzAa0ZnGTMihsrJyUFlZ2eZBFr%2BK%2B69WYDQlZbt5xSgtjLEzTT%2FCrfEZnKIyg20oDUJr38ujbSUnBSeB6xP8IVEadnj87uywv%2FA9y1Dwuj7smpQJQVyeMjnti8IuRNI1jN1dktZz476zUjas9LSwU1I2KI9%2BlhPns5P0u1P0WP7NWfwN%2Fa0LJBd7oZ7rEj33VXotvKYblUzdqk2Ce5ToYDfF%2BzkVdad4r18fMGDAWquttlqfoUOHlsfPy3sJtG7gU9QTtW3YL%2Fgu4%2B7b5GsnFmlyQmLCqckk%2BdqrSMrgGjgH7oGD4CKvEMMwDAN0ECmU1NfXV2py%2FO4KxtjZ5Rg%2Bb84sxpIDki8aNB%2BL9309jcZheyi4ZTfPZQZtCOxMMyuBYW6UdoV9V1LRzJA4jgRUdkL8%2F7FhR5O8hB0W9x0S%2F%2F%2FrsIMpOQk7kCBKQeS%2Bmge0V9iPw5jk%2FaOwPcJ%2BKNtD9%2FG7H8ff20vJ0b78Df2tA%2FW3eY5f85w8N6%2BB16LX9Oe4%2F0ReZ8pOfdhZvzTsMuRm4%2F7fcSpUW1u7SSQkQwYOHNijf%2F%2F%2BHlrXBpJnnVLjW0ZrDaLQxckZjfDFKEACZ8xOmSwyJY%2BcEJ2JCECXLl3%2BD86Be8RB7jcxDMMwPo2RI0euEMnJykhbxv8eGXZ7ynb0xoo4Zxchec5IWd0%2FtfwPRcBwOYGjpC37qlSmk4jTiUorB03h1dXVNRUVFavGbYN6T3Yk4aRBXknCL5Sw7BW2Z%2Fz%2FDwn2lcgwDG8n%2Fk1VVdW3KZ2SzPS2arLfMp5mi7DNwr4a9pWwTWVf0X2bxeO24LH8G%2B2Sf4O%2Fxd%2Fkb%2FMcPBfPyXPzGngtSmj2KUhoDiQZYXK4EhgSmtGRhG3Tq1evtSM5WXnYsGHVkZh0tYBD60xI5Ds64UvwKfE9biX53LwXipK9D%2BSLis2%2FztYGEJtclClyGnhErOPtg2v6wzleIoZhGMbnguFXXbp0qdNQsP2CQM5LWUkJCcr7RU6evD9q%2B%2F8WdjxDwVCQoXmVgFeBn3f2Wjk0u6cbpyckKJWVlUi1bhiB0GbIC6MMpGQBqeEtKS1BMSnW%2FEgeJ1nt9SOxwRoiCVi3trZ2bSRf43Frhq3BuoinWj1sCE85n3Hf6jxGj12T18Df4G%2FxN%2FnbPIeea0Oem9fAa9FpDwnNNrzW%2BN03lcjsgsXP3%2BYx8ffWiXW5Sp8%2BferWXHPNbg0NDSUR6HXyCmh16JArdOFL4nseRkKaMhW5u7Qp8r58ULFu%2FvD%2BKOdCZe5cEm%2FWPFxTMHDRMAzDMD6LTz75ZLkgjwoCMe0gUwpDXfyYlDXjFsOciAWVHcxUcMAJ0RNhF8R7%2FymBY11dXZ%2FevXuXS6bVwV%2FrR0e%2BKxIUTlAiKOyl00Bq24coaRjKz6h6cT%2BD8GK9D2Anl34VLIL%2Fvhjff1hvJnmH9YiAqp6gKp6nVlYzn9Uyr4HH8Fj%2BDYkSf4O%2Flf%2Fd%2FHl4Tp5bw%2Fh4jasxKbvgta5BqWU8Zm2MUhgeo79VxURtJ8%2BtGp3yxITvnQZwlQdemDIRhLHyPbNScZbNThZ3MJvnQjiFZFvlwxVwjpeIYRiGsTAsR8MmgZL093%2BoZuKrRKSUHhSj9n5eFz1dRHqj6vq3r6qqWpMAt2%2Ffvt3ccNw21jAJCicoBO30oNAkz7omYWFIY278P%2FdjqHzxuPmNRl2Mv4MRaGLxHLmVzGeN9%2BePy%2F9d%2FncW9Bw8d%2F46ugn5a2T2A0FcWKWsgsfxtygTKhgW6rLDVgh8Br6D5JQ%2BKMr7CNBTJsjwX%2Fmc2alJdKTYfOsH4o6rKE2kn1HcMlCCI16zhmEYxsJBIFVRUdGDchTVRtMAjKIMMqlviUg%2FTsWp3sX7oWkTGViapvek1CY%2Bk9UjGKxVUGq0zYRlSay1vI6l8ZqMpQh8RiQlddXV1ZRzbcHsHflTfMx7RepDc4Wu2eIMuONU9VNtBbfAMZZqNwzDMBYVy%2BclCBy9q%2BadnT5UZejJmDpfglJsZQgMvmPexNVqQN5dPTgDNCTMMAxjkYDPwHdo7g7CC0ekTNL6SfmaYpUOni2ugDNuUDnXN%2BEUuAWOgWu8QgzDMIxFwbwaaUoRgkw3oP8iNdVIo2yVSwt%2FnIpTWphyi%2FvjvV8cgcXv6b%2Bh1p8yGy8PwzAWFSrPo2doZ3xJ%2BBTm2jCv5hX5mmLzn%2FlMk%2BniCjjjQvXwbQCnwC06hXYPn2EYhrFIaJS9pFaaXT816O6UMnWZe0WqHxYkKMVGrrwv1GVQKLsHxTKUyzg9odE5uaTGMIxFw3L4DJ28%2FnwB6ofTi9B%2F5onJh%2BIKOOPPkudeDU5R714uz24YhmEYi45Ro0Z1RKVItdLo8jM1nsGMr4l8ZhYhuaKag8LMO2FPh91CKQaNrPH%2BV2HHT8PuOjpRMQxj%2FoQkSZABX4HP0JwcyrlukU95Rz5mVhH6z5niBjjiUThD3LEFXAKneIkYhmEYSwQUgoJY1tPU9D%2FPN9F4WirOnT%2B0%2BSfqPT6UsonGKJetTWM88q0azmiiNQyjEB3xDfgIfAU%2BA98R958hX%2FKmfMuMVJwnz9P0Hh%2BHK8QZe4hDKr08DMMwjCUGco%2FMXNDQOsqbTk7ZlN%2FnRLLFWjNN8EDDKlONr4r3%2FyuG9tXW1g7u1atXPcGHTlAMwzAagU%2FAN%2BAj8BX4DHxHyuTYn5VPyROTYuzZmyhuuBWu0DDfreEQSQcbhmEYxpKBeQoMfGO6dRDMDkE0B8Td1E7%2FI2UDxIpRCpOgIR%2FO%2BHrYnfG%2Bjw3btbKycmMmj8fnUa3BjIZhGI3QbJ1qfAS%2BAp%2BB78CHyJfMlG8pRrXDueIEuOE8uALOgDvgELjEK8QwDMNoFrJlEnUQ7cAglw1WWmmlXYJ0jo5f3ZGyumLIdk6Rk%2B3DYRfG%2Bz4oyHbH6urq9ZHDlLSw%2B04MwwDL4RPwDfgIfAU%2BI2VKhw8X%2BWbOHHEBnHAHHAFXwBlwBxzizRzDMAyjudAZwu3bt28tu4EMJQzi%2BWXcf0XYM6n4yxQmpUxd5%2FYg29Pive8ftl0EHqszydvLwzCMHPgEfAM%2BAl%2BBz8B3yIdMSsVfBgsnXAFHwBVwBtyhjZzOXiGGYRhGc6BjLitcXV1dE4QznMGEcf%2FpYQ%2BGvTFfglKMDZ5MOUav%2F6YIPE4KGx2fATujVV4ehmHkwCfIN4zGV%2BAz5DveSsUtIDJBXAAnnA5HwBVwRoF8sAVEDMMwjGZBozTm8OHDO0sac0AQz%2FZx%2B0cR71Nhb6dsV7BYpTFz4kWl7JoIOn5Lo2t5eXnvkSNHepCYYRgJX4BPwDfgI%2FAV8hn5Bk6xSq9PEgfABTfBDeKIARq22DlZet0wDMNYWomKhoqNDOLZNwjonLjvrpSp0LyXineoWL4z%2BGrYfWEnMvGZ8o3%2B%2FfuXeaiYYbRbzBtaiy%2FAJ%2BAb8BHyFa%2Bm4j5Zni7fDwfcBSfADXCEh9YahmEYywRlZWXlXbp0%2BT9N%2FD00yOiiuHtM2H%2FDpqTirqn%2BIOzJsIuDgPeJ978Rza89evSo0A6hT1EMo32hE9c%2BPgBfgE%2FAN%2BAj5Cs%2BSMXdkzdFvn8MXAAnwA1wBFzh5WEYhmEsdSAHGaSzMjtjQUa7BRH%2FIWUa%2Fv9K2WTgYiPfQjWaqWEvpax04ffxGYyKgGTt6urq%2FgQncf%2FyXiGG0a6wPNc%2BPgBfgE%2FAN6Ss5PUl%2BYxiVTP8RD4f338VXAAnwA1whKWDDcMwjGUC5CCZfBwYUlpa%2BtUgox%2FF3TR%2Bjgl7NxWnVGaeoMxOWW015Rqns0Ma738bGj%2B7d%2B%2Fes6ampjS5jMEw2guW45rn2pdQyDY6NTldPuJt%2BYyPC%2FxIsfnGd%2BX7T4IL4AS4AY6wdLBhGIaxTMAEZGqrg3h6VFdXrxGEtK2aP28IezllNcgQ8kdFSsbjU1aucU2896NQ5ZG88qqSFnbfiWG0D3TgmufaxweEL9gTn5CyRvgn5SuK0Qd%2BJB8%2FXT7%2FBjgALoAT4AY4Aq7wEjEMwzCWBTqxI9a7d%2B%2Fyurq63kFIGwQx7RX3n58yZZr3wyanpknIxSgt%2FFrYQyuttBJ6%2FkcyBTp%2BXq%2B0tLTG6l2G0T7AtU7TN9c%2B5UwkJvHzlfgG%2BYhilA7%2BSL59snw9Pv98OAAugBPgBp2a2BcahmEYywQdkBXOExSp03wn7j8u7K9hL6RMvQXyml2E5Mx7os6aJlA0%2FS8NUj4wPoMtkBH1bqFhtA%2Bg0NWtW7c%2Bce1%2FTZPgL1Ni8l%2F5iGL1f5Pl41%2BQzz8ODoAL8sQEjkg%2BRTYMwzCWEeip6MCuoci5b07OQU6XKWB%2FMWxcylRqipGcaXJl15Cpz7eFcXqyfVlZWX%2FJChuGUeRoaGgoYZZH%2BL1vxv8eHXaHAvax8hHFmJzMkG%2FHxz%2BIz8f3wwFwAf5Pp8cdkvvvDMMwjJZIVIKcqoOcGsJ%2BGHZc2LVx%2FyNhr6fikRbOm%2BEhZnYNkQd9M2VDx24OOzze93aRnPRzcmIY7Sc5QZUqrv1vsEERdmvYMylrhP9Q%2Fo8SqGKSEZ4i3%2F4Ivl4%2BH9%2FfABc4ITEMwzBaHOXl5QweGxzktLWGb6HcdUvKhnJNTMVTZ03z53glJeyOPhZ2e7zvs%2BJ97xfve9OSkpKeLusyjPYBNiLosYgEZbPwA78IOzdlZU5PpExG%2BJ3UNICxWJKTifLtt%2BDrNYx3azgALvCqMAzDMFocDCCLoLxXEPSX2UEM2z%2FuPi%2Fs4ZQd%2FxcDIbP7yWkJ057R9L%2BLZvgg5BPj%2Ff4ybr%2FF0LH4uXLUqFEdvSoMo%2FhBX0V1dXUNMsLhA76t0tZT4vYvKZPXfTrsDSUos4rEF46Tbz8PX4%2FPx%2FfDARpEaxiGYRgtC3YPaYJkOnLYOkHOO6JglbL6a04Z2ppi19z5jBMTasjZCaVc7RZ2SBk4Fu%2F1x%2FSaxM%2Fr1tXV9amsrFwxuazBMNoF2IhAMpcBjOEH1meTInzB3qh2MS09HnJn2D%2FDXklNk%2BILfUtbPEHGp9%2BBj8fX4%2FPx%2FXCAS1oNwzCM1oJGaeGw7kHSTI7flBKHuB9JzedSk6xwa667LtTtp6b6QyUk7ygpoUzjrpRNQT413uMh8R53j5%2B3gpx53%2FX19ZV9%2B%2FZdwcvBMNoHDj300A6cFtTU1FRXVlYODD%2FQoLlPe4ZvOIySz3gYPXhjUnbi%2Bl%2F5FE4fOE2ZqoRldiv2jXPlu3P5YHz6lfh4fD2%2BD99v6WDDMAyjNaEj5Q1hXSJQryorK1sLzf%2B4%2F7SwB1JW1kCwP00k1xoJeI6SEhKS11LW1PqPsL8puKBM7fgg49%2BE%2FYQSjtLS0q9UVVX9H7umBCfxc9d4TGcvB8NoN1iOHrMBAwas1Ldv39rwAQMiSRnOQMZITnZmWnz4ikPjcSeGXRh2fdg9YY8qyMc3fiDf2FpPmOfo9X2o14tPPw0fj6%2FH5%2BP7JR3sklbDMAyjdRA0O4iQEwF6EPIqKnX6ffzuupSVNbwmcpvZSgmYExN0%2B%2F%2BTsnrqm5WQHBN2IDuhYTvFe9qSQWPqLxlYUVHRI1DB%2B1ZJg8nZMNqR7%2BOa58SUkk5OT8N6aWI8fSgbSyjkuwwpZHMjHv%2FnMEq%2Bbk%2FZAEMmrLdm2fWZ8t2vyZdfh2%2BXj18F34fvhwOSS1oNwzCMVkTQjbNP2EUsKSnpESS8CbuGYWeIhJ9Mmbxma5mYXFj3zWt6N2U7mffTzJo3uhNUMFyRnhLUaBi4xhT4%2BF0FyjQ1NTWlBCYFu4YmZ8NohwkKPgBfgE%2FAN%2BAjmB6PvDjDCelJCT%2FydU2S%2F3X8fHrc3pCyoY1siryvTZLW1pMyTb77yXi9t%2BPTdSK0Cb5e6oQdCnjAMAzDMFoXUUPKHPfTLBn22%2Fj%2F81NWysDQroktRLrUc%2Bd109R5U%2B%2Bd95TwuiizQBb4orBjJIn8rerq6vUrKysH9enTp47SDRHxciZiwzAWYcNmOU5UI2np1qNHj56RuKwe%2FmRjpqmHnzkgfMwJYZenTH6YU5RcfnicfOXU1LL9enP1OvCRd%2BPL8en4dpXvVtgPGoZhGK0elDdoavJIdglRtUpZczwlAeNT65hTwikJyls0uV8Tdk7Y0QQMYT9QKca6NHtGcNFYU62yBcMwjMUCE9MHDRq0In0pbHaEfxkh2fUfhR0cDzkuZWWklMHerc0SZim9nVp2TgrJCT0xCIJcqXKu3fDt%2BHipExqGYRhGq0cJDeK1tbWDaRoPMtsj7mMw45iUlU%2B1xMnJTCUmr4poKTW7kFOSsAMJEoJwR6mRdb34eQglXPSTDBs2rFRlW4ZhGIuNTz75pLFxngQF30ipV%2FjGYSr1%2Bhr9bJIlJ1E5PuySlJ2mUA7LNHZ6PlpiTgoJESc594ZR6roHPh3fzvvA1%2FvbNQzDMNoCGhvj%2B%2FXrVwOJIberRlDqq19ZRiQ7%2F5wSyiRoPH0kCPYm1XsfFLe7qKeE%2BSyrlZeX945bFMfKeQ%2FuJzEMoxnQ2JdCgoLkrk6Xu4evqWYThH42NkXwlTqZ%2BE3cnh12W8rKvVpqTgrPh%2Fzx9eqTQTp9ML493ovVCQ3DMIw2g3nSwpQxqJl8z7j%2FgpRp%2FY9Pza%2FtP1d%2Fa7b%2B9mQ9z3siV5737ngtV8VrOUn13jtWV1ePoMyC1%2BmeEsMwlmGyMq8nhUGOkbT0IPBXT8rOnKLELZK9lJ2OCfu3khQa5zlJmSJfl%2FejNFeykvvRfFOHctzzNbtlHXylpYMNwzCMNke8lDFQZ03Az4kEiUDcf2zK5oa8KIKdIhJsbj1%2BdhhfFZn%2FPeymlEl30nx6CCSreu8G5hLkPSVMe%2FZXZxjGsga%2Bh5MITiTUk7JB%2BKkdJD%2FMnJSTwy4NuzXswbCnUlbuNV5JRHPOSJkt34yPpu%2BFKffHMNsJX45Px7dbOtgwDMNoc8kJ5MWuIGULlE4F4f4qfndx2P0iPcivubT9P9bfIjHhpAR5ToYnnk4Tp2SNvyspzxHUe8fr6stcAveUGIbRksBf4oNIUDTItn%2F4qDXDV20Ytk34re%2BH%2FTzs8Hj42WE3pkzQ45XUdBLdXKfQM%2BSbnw%2B7j40dTprpx8OX49Px7bxmJyeGYRhGm0tSwjqh9c8phVSw%2FkRpVcp2%2FyBWyq%2B%2BaDlCXndND0u%2B04cU50M8B8%2FVtWvXnyIJzDA0EhLNHKim3pu6b%2FeUGIbRSnzlZ3pSmKlEosLQVxrROYGO%2B%2FcL33a8yr0YGEsv3djUdBK9JP0oc%2BWT8c0PxHNdEc9zlFQX1%2BP14NPtKw3DMIw2Tbo0l6N%2BJXle5oeckLJSq6dTtuu3ODt%2BkCflW4V9JchtUiqGCtdd8fcvi%2Bc6GvUbGjiD6IfX1NT0Q3mLZCS5p8QwjNafrDQayQqnKZSghh9bL3zbduHX9o7bY%2BMWiXZmSNEX8pJ84fz9KIuTqHwsn0rZ2I3xHH%2FWqfPXpWDYzX7TMAzDaPPQxOTeUsT6FpPX4%2B5zU1Z6RcP64tRLz01N5Vt5XwllYpQ5XBh2nKSB2enbIgh9zbq6ut4MQVOzu2EYRpsCmypsrrDJwmaLVL12R0Erfs1mDz11N6esx47E4jUlGTPT4s%2BDwidzsn1O%2FP1fhM%2F%2BZjzf2iUlJb3w5f42DMMwjDYPapQ5PYFYpdy1U5DekSmbNUJT5%2BI0xUOeTCx%2BWQTK0LIzGfTIbiJ%2FO55rM54nnmPVioqKHiQmkLuHKBqG0RZBw3x9fX2Xnj17do%2FbXgXSw19D2SvsZ%2BpHYZgsGzWUe1GaNSkt3sn0bPnk28N%2FHqEysnVra2v74sPx5f42DMMwjGJAJ5IDkgRITtOF94v7r0hZ0yUlCHnpwYJKED5WUjJTiQknJpy6XKnShv2kJLMRpF1SUtKDWSXl5eVl7PSJUKmTdnJiGEZbRAd64%2FCj%2BDTKq%2FBxnGbE7eryqd8Jf7g%2FpVjx%2BL%2BkrGH%2BdSUos%2BRDF5SoFPreKfLJV8ivbozPRupYJbGd%2FFUYhmEYRUGsnFqMHj26c%2B%2FevctpTEd9Ju4%2FTUkGddJTU9Pck7kiUggVaeAJKWt2h2ifSZmCzOXqK9krbrfPd%2Fe6d%2B%2B%2BkiSB3VNiGEYxYl4%2FCpK%2BJCrV1dUrM22esll6RNi0id8jPEKZ13Nhb6SsaX6ifOqsAl%2BbzzWZKl%2BMTz4NH42vxmfju3Xy7A0ewzAMo7gQZLoC6jOSxzws7ro%2B7Mmwd0SO%2Bc4ejZyTdP9%2Fwh5Nmd4%2Bpy0nU2uN%2Blf8jS3j732ZkjFOZjyrxDCMduZTO1HuRYKictatw%2FZgplP8%2BlQlKcyXYtI8TfPvpkxMZE5qKpWdKl%2FLsNrr8M34aHw1PtufsmEYhlHURNqlS5d6ygU49WACctx9W8qUu9jZy6Uwp4ksae68OwwFrmNp0Ix%2F8z01hDaojKsX5KyyA8MwjHYD5o2g6EXDPHNIKPNilpOSlF0lQHJ8yjZ2xoQ9qwRlemqSYh8rX3tr%2FPtTNPxxI3w1PtufsmEYhlHM6BhkWYluf5DfqPj54DCGit2VMjlgSrioe35PCcud8fvzmZIM0aL1n88rYX4KswCqqqq6FtRDu5TLMIz2hMZ5UvhAfGH4yYrwr3XhI1dmkCMCISh7IRoStxfL15KgUCo7VT6X0%2Bm%2Fxe%2FPCjuI6fT4aHx1ymZAGYZhGEbxEil9IYFVggA3IeGI29%2BlTAZ4TMrqo%2FOZJbdBlvxej9sYrX9OSRoaGko8PNEwDOMziUpHfGNYl%2Fr6%2BsrAwPCdmypB%2BX3cIuN%2BR8pKuF6Sz7037AJKweg1UYP9AHy1%2FathGIZR9EASk3IBnYBsJjL8bfyKExSkgZHCvCQsV%2BLaCbIMkh1E6QLNmf4UDcMwFo4tt9xyeRKUurq61UhQkB2mNDZlZV6XpWwYLn1%2FZ8fvfxO%2F30Wn00M5fYn7S%2FwpGoZhGEUPhiGiMINef01NzerqP0FPfz8aMbW7R2%2FJLiQvYWuxixePrSax8bwSwzCM%2F418Pkp1dXUNp9WIh4RtzoYQvSiaD%2FX7XI497tuwtrZ2MPOhkGL34FrDMAyjvaAj9dEDBgxYqV%2B%2FfjWUagUhroPyFn0o1Dsz3T1IdHjkMH2poVZ5QV7K5eTEMAxj4VhOvhKfWYIPpYcEn0qSwgBHzYf6Nr43bJ1IYvqzCVRZWbmi5kO538QwDMNoH6TJjl5eF00PSV1dXZ8gxaEkKWFrU4YQSUstKjTJM0sMwzCaI1lZjpOUSD7qOCEJn7tu2HqRlAzDBzPThI0jFLp0Qm2%2FaxiGYbQfIIFJkoKOPqQYiUiPPn36MK%2BkLycqTEL2p2QYhtG8wLeGm63F34bv7Y%2FvxQfji102axiGYbR3LKchYiX9%2B%2Fcv4xQFkkQSUyVchmEYRjOCXhJKt%2FC3iIzI95bgi9k08idkGIZhtOvkJKwDpAhhqheFWmfLBBvNsbaK2Qzji14XHXN%2Fi6nxnTlRLuUyDMMwDMNYVGhXd15Cy%2BkagRUJLUEWu7%2FU1FO2wukbu8M0AqM81E0oKysrZ3gnQguyyq5du1bJqrHS0tIaWW1u8ZxLZAV%2Fq%2FFv589V8NxVvJb8dfEaea356%2BY98F54T7w33iPvlfecJ%2FV8Fvn8H%2FcMGIZhGIZhGMYyQATenZjhgKACqm%2BUAjLPAcnUCN7rkamOeL5PBPf9kaGOYJ9BdMx6GMIMh7A1mICNIlz8fu2wdcPWi8c1hI0I2yAeu5FkrrGR8bTz2yb%2Fw%2FLHbYwV%2FK2NkGzV86zPc%2FLcqCXxWnhNvDZeI6%2BV1xyPWZX3wNTvsH6RqPSORKUnjc2oK1GaEwlKt0GDBq3IZzJq1KgvXX311VZaMgzDMAzDMIylCYLu3XbbbYV11113pYEDB1b26tWrHqWhqqqqVVAgigRljQjahyvZIMkYGUH%2BV5FODft63Ldd3PctzdbZOex7cd9uTNAO2yPu3zPsJ3H%2F3mE%2FC9sXi6cutP1kP5f9QvbzAtuv4PE%2F09%2FC9o6%2Fv1fYj%2BP5fhT2w7AfhO3Ka%2BE18dp4jbxWXjPS2gzHI7khoSGRife4Fgp3KNvFe145bnvT5LzqqqtWjBgxYsV99tln%2BU8%2B%2BcTNzYZhGIZhGIaxECxub0Wj7DRKQmFdhw4dWj548OBaEpL6%2BvpByKAiPx3JyQYRrH%2BFmQ1KQHbQROxdlXSQcPwsft4%2F7KD4%2F0M08POIsKPDjg37c9x%2FUtx%2FatgZ8f9nh50Tr%2BHcsHNk%2FHye7PywC%2Baz82XnFf47%2Fo7%2B3pnxt0%2BL5zk57IT4%2F%2BPCjgk7Ku4%2FnNfEa%2BM18lp5zUpkfkjyEj%2FvpMRlG5KWeO%2BbxGewPgkZQ0179uy5Sv%2F%2B%2FXsPGzasOj63sm222aYLp0yUwaWmngL3tRiGYRiGYRjtB%2FQ85PNs8uZbeiTol6B3gj6KvPeDfou8x6NLly71JSUlPcJ6xZ%2FpTRmTSrNW5aSAEwNKoTgR4TREici3dQJCErIXE6%2Fj5wPi59%2FEz4cpATmGZIDEI34%2BK%2By8sIvjvsvjvqviua4Juz7sprBb4%2F474v6%2Fhd0V%2F3932F0yfr5Hdm%2FYmPnsXtk98%2F27u%2Fh78XfvjOe9LezmuO%2BGsGvj57%2FE766M313Ga9JrO4vXqgTmTyQu8fPv4ueDNd07T1p2j5%2B%2FSzJGwsIEcE5YKFWLz3pNlYUNoiSMAXx8pmE9%2BYzjs67jM897X%2Fgu6HPJ%2B1v4rvjO8qZpEhy%2BUycuhmEYhmEYRpsCzeujR4%2Fu3NDQ0CgTTU8I%2FSD0gpBs0AMSgfEw9X1QgrVh3LcJwXX8%2F1bx%2F9vG%2F39Ticd3C05ASD72zZOPeCqSjyM5%2BYj%2FPzH%2B%2F7Sws1N2enFx2OVhV4ddp8TjtrA7lTjcF%2FZA2ENhD4c9FvZE2JNhT4U9E%2FbsAuy5sOdlL8xn%2Bf3PLeDf8feeDvt32D%2FDHg97RM%2FNa%2Fi7XtPdeo236TVfG0YCdVnYRSk7lTkz7NSwE8KOCTucnDDsYJ247FNw4vL9uP87YaPCto%2F7tiaxo9yNJI%2F%2BF5KZ%2BOzXos%2BFRJBkht4WhqHS00I%2Fi%2BZgdPLqNgzDMAzDMNoUCGI333zzUnogBg4c2IOeEEqwCIJ16kH51Tfi9jvs%2Fivp%2BDknAzrtODr%2BzJ8VgJNsXBh2qYL0%2FJTj5oJkg9MJTizuD3tQAf%2BjSgD%2BpYTgaSUJJBEvhr0c9krYq2Gvhb0R9mbY22HvhL0b9t7n2PsFNlZWeN%2BC%2Fs27%2Brv8%2Fbf0fK%2FruXkN%2F9VrelGv8dnPSWb%2BoaTqfr1n3vsdYbcqmSER%2B0vYlWGXKFEjmTk5jPK1I3QK8ysSPfps6LuhZCxut6dcjMZ9GvQpFYvvrX%2BfPn3q1lxzzW6jRo0qcbO9YRiG0dJYLi%2FR4Fi%2F4Gi%2FsH7ZMIx24g8WZpRxDRs2rHTIkCHdSUrogaC8iJ4QEhKVH%2B1KMsLphxKRY%2BjDiNsLKG%2BKWwLsv6XsJOExBefPK3DPE4nXlUi8tYBkIk8YxoV9EDZe9mHYhLCJYZNkk2VTZFNl02TTm8GmLcDy58mfN38d%2BeuaqNf6oV77B7JxBYnQoiQ8L6XsFOdfStjGkMjEZ3ydysjOpf%2BFZFAJy%2F6cuKhM7htlZWWbRXLSQJLCRHH6fUhS8qF9yX0rhmF8mhs%2BEy9a2txYGuik2uPGsgxqwalXpkacmnFqk6lLTtngPKvDGEbxEM28AZkEo8zWyPtFCntF1CfSkzIgyoHi%2FsGUCKGWRZmWTki%2BN19Ccmzcnh63lCmxy3%2BbAmdOBp5WIvKWAnKC9hlhc8LmLkX7pIVsab6nOUqQJiqhIXH5j5KVh%2BLzv5v%2BF%2FpulBzSk%2FMnJSq%2FiNvREhagzG5TSvDiO19TpV%2F9cz5Q%2F0oNs1rgBdYIM1lYMwWD%2Fgo3tQzDaPvooNivBG7g2scPqG%2Bwp6TdK4khUzbo0zCaBwQlLDK096kJz2UtkbREi5%2F6cZoqtficnBhGkYDdLpSe6Deora2tYrZGnnzgD1SitRG765Lp%2FYZKg3bT7vt%2BKtP6A8lIyvpBKDG6ImVlWbcrIWFHnz4PSpnY7ec0gBMDThZmt2DSUEz2cdhMJXrjlPhRRkbpGCVj9LzcoySRHhdK6FAaoxSMU5VDVQaG4tmP6GOhH0hyx1uKEzgdWwdeoKeI5KWioqIHwQlriARFO6iGYRQJR7ABQUICN9BHqNjwKyoP3QSuIIYklvQnZjQbUG9hpwz5SjWiHiw5zj0UjIxEEYZhYJpObBhGGwcN7Rp0WEa%2FQWVl5UCUstSLsJUC0x8wtwPZ27j9I7K4SkBo2KZ5mxORm5SE0ORNjwT9EjSd03BOuRFlR6%2BlrCzpfSUlBNDTlZh87MSi2eyjsFkpKyujdIxTqfeUqJAUvqjvhDK6x5Sw0KBPiR39LKiLIS5wiRKXU6QkdpgECvZS0vItKaltWFVV9X9hA5jBwvwVRBJ8dRlGcYCYj9iPDSsNmN1es5v218YUPW3fIoYklvQnZjQL2Oni2F6lGQdI3vKKuL0w7HiVaHxfu2Yc85dbatIw2gwW1CPQiTIcdroHDBhQFT%2F3pZE9Akymmm%2BrQYEMEvyN5nOcKZ9wqwJZglrKsigdotn8DQW%2F7ygQHqugOO%2F%2FIEjOez1ISGYqgJ6jYJrkpCVLrorF5uqznKOkj894hj7zqamp34XvhB6XvLflPX13eT8Lpy0vKIHhxOue%2BO5vDLtEfUNHao7MXlJZ21ozaFZnUCSDM4NXusbaWn4hPSuGYbRy7iDWU4nvIJV80qf2S81uukC8gGz7AcSQxJIq7zSMLwSO3b%2FEUR2lHCrfYDfsRLT%2FY6H9I%2Bw%2BGiqpGVdt8u6SpaTco44khX9fUGdswjGMlk1C5vWPkHxwfTLPQrNGKvPeEUn9rhLX8uqoNXEsr9Kd72sX7HfamDiX%2BRwpU8oiSH1OwesHSjZmpsXrEXEC0fLJyxfpYeHEhVMw1MNuKwhIjtWgy30UtGzD%2FJXghi9z0k45MD1Khb0q8AZ163mfCruyBc20hmG0LId0hD%2B4PrlWuXaJ%2BbQ5%2FYP4%2BbfaoGB20xhiRWJGYkf4g1iSmJJ%2FT4yZ3AZgLCY6E7SQ5ap%2BcGuO51ImS%2FmEds7YFUWmE%2FnKS3S0z1CwHTjaQyufGkOIxqVehtHyKOwfoQcgrFdctwO5xukTUO%2FI5mp83lF9I40N7PHPDwujZOuslJVrUd6DfC0lWpySvKJAld1394i0nx6WGUpSOFmhPI%2B%2BIWSc%2F5qyniLKv84IO1ZJ7S%2Fj9idSa6MscBs2tSScQNKyOnXr9Kn07NmzO6pv8Aclhr6CDaNlwbU4YMCAlYjtiPHgDGI%2B9aEh%2FY64CT1riJq8oFiRmPFKtQNsDd8QWxJjpqyR3jAWGY0N8AxH07CuvVFwSVnNOIuNI3%2BO%2B1F9eV4BCvMGztMU45%2By08q%2FR6khFnQX73wZRsti1KhRX1p33XVXovafmSMEg9rx%2BgbBIjvc2oQ4MuyksHNTNsDwehEO1z%2B745RtPaUNitcUmOITOC2Zldwj0t56WAqb7N9WopqXfT2mNUMie6vWEskt%2FSoMj6RP6UASFpWANZ6uID3NbBXKCpmV48GPhtHym1vEcsR0ig23I9Yj5hNXEAPSo%2FacYsOx4gVixruJIdWfuDX%2FnhiTWNOfrLGoWI4aQh27b6XFxI4pQ72QnnwvNdUpE4xMECE9r4V5g471aIballp1gqG8xji5xMswlur1mxYwd4RjdIYhUvNP7T89AJCLGhfpJTuKUpyUDTjkNPRBBZcvimjynpH3FYTSLzJRPmCafMLs5B6R9trDkvev5L0rE7VGxmnN5D0rr2tNwSXMsLmFZEWByx9Qd1P54Ndjna5XX1%2B%2FKrNyhg4dWo5cvU7h3Z9iGMuOTzoSuxHDEcsR0xHbEeMR66XsFP0hxYBvKyacohhxhmJGrvfriCW12Y2gyhBiTV%2FDxv9agJxsNDbCktFyzE4fCUd1DEXT7tcrIp658xHUTBHR61qEt4lsOOrbhh1a6osj465jMUIy7kUxjOYjj3wOCXLeBTNIqtVD0ldiFWtJTWVrNbUTCB5O35iucUpxKNV8QSQzUde2e0Vszdm7MlMBDAM0n1VgcysN9bE%2BT0KyWAHMd5AojvtHaK7KIPqhVOdeRa8UpSGF%2FSnJM1QMo1k5RfOK6ojhiOWI6YjtVE1zm2K%2B1xUDzlxAfDhZseMDGrB7tGLLDYg1uXZTNv%2FE167xGXBc15mkoUePHgQ1Q5CDo5kxZUfwf1fAMlaLb0GENEvBzJtarBzhnxF%2F59eSG%2F06MxFotI3Mu4bhXFZtMIwlh5rcu9JoSPCWJyI4f9Xzb6chesym%2BDm1%2F%2FHPmDlydspOSpD55aSE3pHXUrbbzQ64y7NsS7McbIp2VSn7oFcFmembxTmna2L9b7TJtbv6oLZGFShuG5SwDKR3ih4qkhSpfxmGsQQgHiRGI1YjKaEnkdMOYjliupT1kd2qWO9NxX6zPudan6nY8QXFkpcRWyrGHELMWXAq6vJ%2F41PolCcm4eD7oU0fi2ZPCCJlA9KY1Py%2ByGTOQsgmb47k%2BP6ZlMmKXhN2quYg7Ew9cQRRg5mbIMUGZ8qG8QVBozB1wP369SPhH6QNAAZf7cQQROr5w45I2SC9C1I2owJSuVsJCcP3qBH24EPbsj5dmSVOQd3tbfEMvPG4gpi%2FKVnhVI%2Ba9hNibf8%2Bn7FFIy49U%2BzmMkeF%2FpRITlawVzCMJcJyOo2sraurW01zrdjcOpBYTjHdfbpW31LMN2Mhm1lzdJ2%2Fr2ucmBKV1z2JNYk58wQleYK8UQjqCVFGiaShbxjSod%2FiaD1lfSbPa%2FH9r4Foee3xTC3E8ampF4WFfLGO67%2FHzlc8zxCOCrUgXTtsGItAGqlAEpjrFuUUEn0SfhJ%2FqeX9hNORsFPCaGi%2FLTX1kLysna68f4TAkBIbjt6n6frNe0dcsmVbmsnJR1prhb0qE1LTYMh3tFbzHhV45KaCGVsHqWeK3qkRJOck6ZwiciqveVsdzC%2BGsej8QkwWyX6tOGWTiNl20Wn7RboG896SXAQll4xfWGw4OzXJj%2FPvryMeJNYk5iT2JAZVX7JhNKIDx3c0yqqekBKQfeP%2BM7V79a5IZHElJvMFOUm7ssxFuUBykpR5fY3SE9XDV%2FAa4jHserkPxTCUhEi6cfl8JgnXSmlpaa0Go66M9ColLpRNIv2r5nYGI14QRrPxP0QG%2BQ7XwnpIHDTbWmOvCslL3tP4lLjkOg0EPly9U7vAKZwcMnchro1%2BcY30YH4KvSlI2hN0FQx%2BdH27Yai%2FhNiLGIxrhZhMs%2B22kJw8JVjnKzF5RTHd7II4b3HLOd9VbMnw3n1prif2JAZVHOjSLqNRXrQj9bqaZ7KdatIpAaH04zktxCWtLWY3jHrDe8IuZThX2C84KqQmngshFmd%2Fjvbch2IYGQiiaEjs3bt3OXMfqK%2FnWqGXRKVb35QE8N7xcPrDjg87L2UnnlxrlGxRz88JydQvsMlgs7UWmyMu4jQln7GFgANlimczZwsZbE2l34V69uCUzeJ2%2FeCYNXJBlv79%2B5dR%2BqVTFcNo91Dje3cSevq4KJWUGMXP2ehK2ayiuxXDTWgGHpmk2PIWBDDYXCBBIQYlBvS1aTSCnSR2YXV8xyRf%2BkxokP23MtwZzUAs%2FA0aojief0x%2Fn6P5ozS4cRQBF7r2ZM4euGW0d6Ap39DQUDJkyJDudXV1faqqqv6PRJ6mYPWSMI8E4kD%2Bl9Ktm0Qg%2F0hNEsCcloxP7iGxFcepSj5PJZ%2Bx9YIScJQk6U9B0vTSlDXrIo39K0QgVKY8sqamZijN82uuuWY3hpGaZ4z2Dq4BhvISe1EaqYGKzLti1hU9irdpI%2BBFbXI1Rzw4XZsMiGCg7HoaG2zEoMSiLu1q3%2BiggTqd2ZWlNIQGWgU7zDh4vmC3dUmDmrna9ZqujHmcdnOZIHojyRDqD8rU1%2BvevXtPpgIre3atsNFeMG9uAztZJOnUz%2Ffs2XMANbkq26IJ%2BBCdbNIkzGA7mofzYYhv67odr2ttavr0%2FBGXbtna8jT6fJ5KPmOLMsW8P4VE%2FFVx16PiMU7p%2FyxRCE4Yt4jraq0%2Bffr0Q9kO2e0FzE0xjHbBNcRYxFrEXCqH3EnCRcwuYVjqwynrURwnPpmua3BJeWR2alLqe1ab1X%2FSxtsQYlKuSw3udolXO8M8dS5UTnSMt1%2FKju%2Be1GKcmZoGqjV3TTEL803tet0WF8TZOpLfUfXzA5Cwo8a%2BQGLOvShGUW0QcB2yS8Qapyaeel9q5JEDjmthtfj%2FtXVa8m0NQz0ijLKtm%2Bcjjpw08hpg95DY2lOPysepqbl%2BqhJ0EnZOVOhNobb9ME4cdYqyiSZcDwqO6c08oPj%2FcjYEKKMsmMHlwMgopoSkYz4ygtiqQCZ4PThGAhP0GtOr%2BETYG4rVmptP8o2GvKKGOPBi%2Bk8QSyImtXpX%2B8XyOGQaB0lMpHhCvfpftfs0vWAxLo0g52Nl4ix%2BVFjuDDsfmch4TaM1fbSBGnsuINRXCna4DKPNg10hhk9RA58PuNLcBvpJtlSi%2FiM1uHPETqkK9fV3y5nTmMgJySwHqTbbZ%2BYqkLS%2FlLJTFPiF0kcGA%2F%2BRfkc4TyUsW6gvZRg19zU1NdWUuai0xHxjFE1yQgxFLEVMRWxFUsJARc2%2FOixl%2FYp3iF9eV4y2NGZdzS2IA6eJy%2B5gerzmGW3K5hzXIrGqv7p2BI6zGYZIw6C0po%2BOu%2F%2BibPn9tGzq0%2FMpwRzHP6ddLo4Sz0JijkXKrjE625S3cPzoAVtGsYDd2UhOulEDH06YssqR9F5pd%2Fc38ZDjRBbXKLj6uxL5wl6S6cmDEm22BYmwTFOCQpBFqRflj6gN3a4knwGkf1LJ1x400FNzX1FRsSrS3Eh0m2%2BMYgFrmRiKWIqYSpvSP5BEMBtf14ljnhW%2FTEifP3C7OY1Y8z1dn1ezEccGNbEfMSqxqr%2B9dpRBx5dfpayZaZ9%2Fip9x1g8pg52Yln59eq5xz%2BKfqkDrTZEI8xiukRwqu1ubcDExEKhgqrx3tIw2d93lxokJx9Zou9PoXlZWtjk18fReMZskrkemtt%2BlzQJ2fz%2Bvl2SOkxOb7XPnKnCNLKg3hZIvhFnujOst70v5JX2PcU1ukjfOU%2FtecILinhSjTfIOMRPJdsFQxU1ULZNvSj%2BgDeI3dJ1MTU2zS5ZFHMj1SR%2Fyg3ENXsnrQsJYfTBVvu6KG4317QRF0rJeJb78rRUMXabF%2BaJ2mmakZV83nNcfTtAF0phFo2GvmShbUCPMXAdq8qWFXRLmUi%2BjNV9zHSXTWEJPiWaU1CCbjbwpQxPjvm9wesmxevx8jmaTPKKkhHrcvMTS80hstuaZnzJNyT5qXw%2FGNXc9TcDwISf2KnUZEdfoUGY%2B5LNS8p4U90AabWAjrDNrlTUrzlmZGEpljMRUh8dj2ASj7JHTxQ9T8zW8fxH1rrHaNPi7NgwOJkal3JnTE2LXlPWfuA%2BsyNCJIW7MM0GWFMcr5Z9TUlbD%2Fh856ylanC1FIvnQRi4WJFE50WES8P6xSL%2FLDjODGwnuqEcsmC5vGK2OIPIJ7tT4Qg7MKIlrbiOCn1jP30NGW7W%2BXIfUxCOHSukWfV%2Fj07I5VrfZ2qPlzbhsAuTy9hfH9XmCFPF%2ByhwuqeRtwGYCPSmofOU9kJYiNlor9xAbESMRKylm2pwYilgqZSXDJCYPiWsmKvZqqY2vQvUuNgzuQpFSpzvrE7MWNMh7BkoxgSCJLzeCpJVjwa6r2vbfKfj%2Ft5w0i4Pm2pYsE%2FlYARlZ%2FGspa8wiYEO7%2FhjNRNkBsqisrBxEsuW6YKM1gnVJYy316zpK3xhFFIIeeqriIcgBo47HfBJq4XNJ4LcKdrE8NNFmW3pDHSlfoYyF0%2FrntIvM8FLmpVwYRqLyW%2FWBMfB0RPDOQIK%2BArl7w2h13ENsRIxErCThh5%2BlbFTEpYqp%2FqnE5EPFXK0h7pusTXIUY6%2FStfctpPSJXT2kuwizaI7FyD7jS16HMhImf4bRBDUmZacU01PLz0IolIScqWRpfGpS9LpFR%2B%2B%2FYkeLHWiO%2FLoFCmaiGEaLXmtJJyYFze5DUR%2FhpIRGd1131ykhYWOAPq93FSRNTE31vrOT%2B0lstmXVl0JJ8Thdiy%2BLc%2B6hH5MKAxrn6UmJ2w3ZbEBhj1PRgh5I84%2FR4vxDLERMhByvYqSdFTMxu%2BQWreu8t2Ryauot%2BbiFY79cCny6YtJ7mYGHvHC8%2Fu1IUOK6660GeV9rbT1ICmsctBhfbiX1s6rh20eywewOPaXMubXVsRfWB3OaM1av9daCoY0Ee5sgORfvrRadekrXCjTqvYCNpX2NzesrYe1BCjTwaU7JEI6kVb%2BOsMPv4vbclEk1PpGaSrdmJPeT2GytiXNmpKZhwY%2FSB8b8B%2FHO98O%2Bpmbd1ZhoDb%2FmM7nMP8ay5qCcf4iBiIVYl8RGxEhas6cTOymGGquYqrVyzlzxIht31yMvrBLLryuGrVTPVwdvCrTRRcscBR3vdVGwNFKywfRwXJuyplsy1GmpbdQHv62sn9rgCxhIpxIZjts3ZMp9EEUPGsBc6mUsC3CNQQzMKmHtaXDiujQdatrtTyQLfGIYwhN3iSDe0E6tZ5TYbK3TZqWm8uJ8FtdFmsXAsLofUS6DJGsEhV9moCOnKfCP%2B1GMZQViHU4TxD9DFAt9k9hIQ3svUMz0L8VQM9rAtTdNsenD8fqv0TXH9bYxQ1OJaXnfmiDv66yNoTExCWuULCVwp8%2BEAVQpKyl5Qk4X5zs7tY36YBrl85koD%2Brk5%2Bx4T3%2BgJpgdahqOIYiGhoYSLVzDWGoYPXp0Z%2FpKKioqerD2GJ6IBCLH6Cmr72VOCbN77k1NPSXvpKx8C5Jw2ZbN1npnpUwXR8I7z2tDDwEZZg%2BdzUwGlUh%2Fl7kMlHDSY%2BZ%2BFGNZgASYGA%2FBFQ3w3YZYiJgoZXN8blCs9JzW8KTUsoJHi9Mgn28MIFZxreK8HYhliWl539qEdpzXxtAJGTl02sNh9iPjjC9377j%2FfH3Z1NVSZ9vSjVCLUx%2FMTtbU1DS4kWFBDA26FmWHeH%2F7cfTHQLt8aGPBEbthNBeWK7y%2B6Cupqqpak7UX63AvabRflLLyLa61l9Kne0qmpU%2FX%2BToQtNlaJ%2BfMSU2zuLh2x2lzgU2Gh8NuRv6bwImdXRSR4J9evXrVa65ELn%2Fq3V2jOdGR07mwLqjHhQ2ONbgV%2FRnEQsRE6bMDFaemlhc8WpyNgbzv%2BG1tCpynSpmNiGnhXjhY15fRVoKnfMhbZNT9GbYYX%2BhOHPHF725LWa17WzjaW1hNIq9%2FvN4LO9I3xXs8kQSMixQ9b947Owr0AWgRW5ve%2BKKYV9dLbTm68cw%2F0DE6stzbs%2Fbi9lgNULxfu1XvKRlxT4nNVjw9KVMVNFGieVdc95eozHhP9XU29qNQgkIPGjOOJIPa2Tu9xhfcECN2aZxdAgcR2xCk5yf2bIwRA6VM%2FfHx9NmexrZ63XF6Se8XgkiHE8sS0xLfEeNqA8AxXVsBda9osiMjJ2Ur6t6RLX1Uuz%2FFECTlksPUJj6hi%2FI01QPvStMitcDMl2B3gbpMNVIZxmKB42MCjCCCemrLY22twy4pjlKkgDQwKlyUcD2UmuYGTXdQZ7MVpeUJyjMpU95Dlv9kuDZstEpQNtXgOwbJQUJdXe5lfBEQu7B%2BiGUKByqq6Z0y4lMUAz2RmoYqFsOcLE56xur05GI1%2BKNANoIYVwO5jbYA6hDRuNbi3VlD3igzGZMyicTJRUIOhTXBb2gXa0xOErF4D6ApWTNRBnpoo%2FFFwe5MrKF6DWLbLK6pXTTMir6SC8NuTtkx%2BlPascrnBs1JDuJstmK0fGBwofTwGG1QoMp3BMqYmm2EGM0QdruRGbdHNRb35CQfqkgsQ2DOuhIHcVpyZcrm8%2BRiK8U0J2uurjPKo%2B%2BN93whm4HIehPjcnpi8Yk2FEihzsXJAdrsOjEhcHpRQdP0Ijk5KawJJuGipj%2FvRaEBGUWvX2t3e6OKiopVIYeCBMUL2vhcMsiN6wlSQMZQx%2Bej4%2Fb3sbZodr8jNU10f1%2BkMDm1jrlBNptt6c5loIZ%2FmoIn%2BOcdJSpUKNzETCM4iJN8VL0o9WLjcL7ZKOYhY6E8RMxC7EIMQyyjMv1fp0xwBYGGZ9Lnzy4phmttumJXKhLuj%2Fd%2BsWa3bEGsq9Iuo5WCOtbGmngWMRklDjHuO0mLl6xznBzp7FR8ZPFxAVlMFEHcQ7Ni2MEcfbLjjaKFErfuGubDLpaP2Y38GurEzmbBzJJqjo51PW2NNDAKPThHXVfPixBas268zWZbNv0o%2BWk%2BvWbMabgtfMXZ7PQy64hgKucgelE8G8X4HLAWlidGIVahd4l1gyKcyrgOZl0VxHZ5CddHqThFVohZpxYkKHfF9XMCM4fUX0z%2FTSkxcHJPV6tDZ4IpFjENUkzUVGbNcd%2BT%2BlLzxKTYFYLYMaARjIbkv4VdGJ%2FFUbGQf6bZE5vERT6MhmaGFokYjHYOpKfZgWFmCSVc7HLGumkgKQn7AYQQD0MJhbLBMSk7oXs%2FeVaJzWb7bBPv2%2BJeOOjSMOaLHaAhjlvSNB%2F%2FP5BeFOrm4SHL3xuA%2FhJiE5JYYhUNm%2F42MQyxTMpKif8qDvqgSDec5998zhMUOJdqhSuUpG1L4sYwVGLglIlOGK0IJXw5Gga1HZJymgpKZk3JyZSCxKTYd3bnFuxevZCyRqpbws6T2gNyr99A8aG2trZvkEJXLx8jH6bYo0ePntXV1WuoLHIPNbufrqSEIYpPaLfqPV1XlgO22WwLmsv1dgEHMcTxiqSmeeYhsRMeHDSE2SjwkIcHG4BTgLq6Oio81kMJkhN7zag7V7HMI1pXuRpksXNQYRklnPsKXByfyWlK2LblBCVi4J7Ewl5BrQfLkWUznIYhPNK6PiFlA3jyU5PCxKQ9JCdzlKBM1PsnmERFiZkoJ6lZnqGUa7NLjjxfwbRRH623s%2BuHUi6uoSCE3ppZsqVKuI5PmWb8g9qlek07N5NSU1%2BJkxObzTa%2FWEvejzJRQSQBFQ3LKHtdpXlIe2h44%2BoMcqXMSw3z5qB2xkEYMQixCDEJG80ovtH0Longa8RDLymmmdiOOGjufAlKfnpyPRyN8ITKrofA475%2BWn4xNw7iYTFzakKjFIOgmLUQ9pf4%2FT90ajI5td86%2BHxRk20jr8dQvBvJuJWgfEuysP2R6EMuls9TksOuAS5edMx7S3Bmcf30UBnX%2Bpw8KjFBies6nZTQbDhBZDAnua%2FEZrMtOgfNVqKSz%2BZ6RAnKESQoGqC3DmVeyJVTnoJvUsmxS73aQQxH7CGZYGbTrRMc9E0Sk%2Fj5VG00P6LNsSmpffc2zlVMS7L%2FIHPF4Gquo7ANOT2hPFsxXAfHcMse84bCof7BqQmBtkpQrtQpAepcNMHPNEE07ixMTE1DG28No1Hxd2pU%2FDoOAT16HASfK0fslqgrTvDdskuppJ5BihuoT%2BtHmgl0qhKTR5WYTE6WBbbZbEsWVM0q4CE4mlLREzWb6wfqb6PPbVVOUghYPRelOEFsAQ8RaxBzEHsoBvl6fP%2B7Bw%2F9Nh52VsrKuB5TMD4h%2BaQ%2Bn3GXN8c%2FEHY5nxfl%2BvA58sJO7lsO8xZ1dXX1ytJR30uL%2Be%2BpadbCVAdV84xJqflMlKdTdrzOUelp8dkdQqMinyM64iR8DQ0NJSaG4gQKOUH8PTk6Fxn8kDXAWtCaYG38W6dtE1KTGpevI5vNtiSbZDkPwdGUpjCf4qowyo0PkgLR5jT5Ut5jmdTiBLEFMcbAgQMriTmIPRSD5JtjVL%2BMSU2zS%2FJp776Ospg2V%2B%2F6r%2Fj6jPjsfkwFEdPjieE0NsJ9XMsSOCyyQxKTSFLWQ4UqFvYf4lc3KpucrIXsmvhP96HM1KIep8ATffD7U3bEjkTsbizufGgjUn4FmvRG28Wn5pYgPQj5SzxiH5VwXS4yQOXtHZHBlNQk0ejkxGazLQkHzT%2BbCx9D0zz9bHeHH7qIxufgoD3V97Y6G5Cei1JcXMT3SWxRMFRxQ0Y%2FUOaXMtGE%2B7SB%2BrpilZyHXFL8afWuGTqJRNL%2FegaO00sc18w68dn269mzZ3cn98s2yOqo%2BsS%2ByBHmtYkpU3LgqPh9L%2BDFrgF%2BGKfAcD12L2hSJHhlxgWzLpB61CLvbHJoU9dKB47ONeE9LpMVK5Bn1NySbaX0QUMdO5ccD78sZ%2BdkxGazLasmX05nKcMeE3xzKXKx7ALTi5LLpOazudQw39GJSpvjonk8lM%2FP0uySrzC7hMA6HnNZynqFKeH6IDWNfzAXLVx84l3x99nxOf4chTNK5FA8I1ZO7h9e%2Bju%2F%2BSyGLl261BFgSc2BSZlnpEyq8D%2FKsr1oF70GeIKcwQPatTgmPs%2F9wr5DksLcGBwJO1gF0%2BWNNgCuF8icHZR8mKIkgnfVcE7KuK5PTT1a45PLIG0227IvUxmnHWBO8q9GoSl81C%2FDR3033yxjY4VmeXbe3Q%2FZtuI3YgdKjZivliclTHon1ojv%2BU86uacknzKlfKiiq14WzSbp2rm9UOwIvo%2FPuZaY2WqsS3Fx8%2BGyC0zmreYpgqz9wzgxYf5CPhTODfCLXwM8XgnKE0rymAB%2BdHzGe9NkhYpTVVXVKpTSWYu%2BbQDyHjVqVOPsEk4Z4zscQcIZtwdKmhHhCOYA%2FUunZwQH071LZbPZWmCjbJr4m9Pbx8VDl4S%2FOi7sF5K%2BXzcC3F6DBg1a0YItbQd8V2yQEUNI8IDZJT%2FVQMWLwu7Qd%2F5fnZhM14mAr41F7ydGrptSOIZTns01E9fLFpGgrEzMzHdQkKAYzYgOfLAEW7179y6PbHAogVbcf5y%2BDAby5A3ws71YF7sGmMU9WY6BOs9%2Fht0cDuQU6YzviKITPT6oPKlR3ou89Z4yQgYlXCvMLmGeDbtUqNnF93iJkpInlZS8n5p6tFzTa7PZWqrUeLp2gd8rSFLuCJ91ftivqZSIYGstlLwGDBiwkkqNvVnWirmIWIGYgSZtNsiY9K5k86SU9QjzHb%2Bm2KOQhz42Fy2yce1MEZc%2Fr2vmWHH%2B6sQBxM5KTqze1dzJCYt8yy23XJ6jQUqNkB6M%2Bynnokbx7YLExEeBX7z%2BNy%2F1Gqvg9SYlKAdGgLtz%2FLwxMo8cFXK8rjIv62m3joSkI%2BUOJCX57BK%2BKxHCKMq4wi5M2dH5S%2FMl8yYBm83WmsqNCVSppUeg457wXedQ5sVJPicoYatUVlbWwUOe69CqeIjvoDOxAd9NxAo18BBCOzq5p%2BTo5JTNLvmXEtEZ88Ugvg4Wv%2B8kT1DeStmwytMROCJWJmYmdtamspOTpZGcjBw5cgUN6lmL5ES9JnlyMs1Hgc16TMgip8zr1visz5OKCsP5tlfAO5iBWTQpWnK45QE5c3yLAgrEHbYeTe%2FxPY1G6CAeckHYvSnry%2FpA37ETeZvN1prlUgleKdn%2BW9i5mufAbK6tkEJHlSif6%2BCS45YHsQDfBX3BxAgFg31%2FLEXVc1LT7JI3FLd5vTff9dKYnMRnTXLyA2JlYmZiZycnyyA5IRuMD3%2BXWPAnxO1d2gmmb2KmM%2B9mW%2BioNr0pYmC3naF8aGkfqoAXJZVhBMNk5V6iLXt9QAh9%2B%2FatraioyHepdqYUQqeLNyqJf1EnJtOSG99tNlvrL%2FWaohMUSrcfEA%2BdihCOSoQaKDdmd5hTY5%2BctCyIBYgJiA2Qg2ZyOcOe2ckPuzZlggfPKDGZaB5qtmtlhjYd%2FxOf91%2BlwrkL4gN5cqLk3clJcwdffLB8wDihWPyNE%2BGRn5MMKoHXywU7wk5QlrxRfpYy8QlKUnAo98XnfbWSwr0RJSAYzoc26mjdpyjL%2BCidI3Rml9TV1a1G6Z1K8Jiwe7ESyxe1AwkZTE9N5Y%2B%2BTmw2W2sNuPJylWnioXeUpIwJow%2FlIPpQwvc1VFVVDXCC0mLoCPfz2fMdEBPQjK2m91yqnu%2FsacUSHyq2yGdoeb0v2XUCp4%2FTJj2nJleQEDJmg1iZ78TJyVI%2BOUEWleYeBvcwRVaL%2F88EzCkb3POMFv8ELf5ZyaUrzZmVo6bxSHzm1%2BN0dFS7RWTna1D6y44JzW8FM1FcA7yUrgd9viV83iUlJT3ZqUJyM5%2BySymeronXtPuYN7s7IbHZbG1tsywfPDdJPMTQxjPpQ0GwhU2ZvNSY2Q5KUjyXayltiOUcBNfzecP9kgleQ7HZnjRlh12rzeOXkhUhm7PHJB%2Bo%2FaFiXhK%2FMcH%2FVyo22yu%2Bh81QSCNmJnZ2WddSvBjyunrUOtR3so2myR4Wvz9TR77sFD%2BrL8zHhs3bh5JLDj%2BasvkYJ9HgxvEhDonvhHkaOt1yDfBSTE74fMPx1Bb0l%2BTyjEemTJ7xbu0yTnCCbrPZiigw%2B1AcjwTtufTUUWocvm9rlAmRTyVYxkc6GFs6gNs5saffh6RE89A2Yy4NCWM85ETFY4%2BkJongGV6%2FzVp2%2F4Y25CmVIwk8PS%2B751rIle2ImS0YsXSTk%2BXy0xNUIJgai0waErcoeNCsTdN2PI4d41tT1sz9li%2BIZiWFfKo8csNPKgBmcOMJkgdkKGbjETt1jj5iX2rozOcbNjg%2B803UX3JQyup66S95OGWN72O9%2Fm02W5Gd5LP7TpkqsqkPKgg%2BueAUZaO83FhBmdGMYL5MXsJFvw%2BbYyqz%2F3n8%2BviUDVSkF%2FhfqUkm2H2OzWfTlJggKoC4wDmIDVDJIsGiDYiNiZGJlQtOTTyEcWkmKEmSqeyKSKquVlJ1GytIY8jcKfG4mxRAE6DNSpaqa%2B6ZKON0gTwtR3SuPntka0dQeucEZelcA5RyxWc8MD7rTZELlILNefoeIOz3U1N%2FiWeX2Gy2YuKiOfJtE1OTmted4QPPQjKd3XvFAwMoOXJQ1rwcBKfD7flQRRITKijid2enTFXtKW1gEntNUszgPsfmGfWQD1wk8bsBWWZVr3yHpLxw1AMxMrFyyvqAfQ0s6wulYMjPysoYd9TgQBKUm1M2UPD15CE%2FzV0DnNc9csROPeldqgH%2BlRqyN6UPIr4bhgAyHbZrPGb55Ib5LwI%2BsxU4ng1UUMoVn%2B%2FI%2BHlXDVY8T6TwvL6Pj7y2bTZbOwjaPtJpPgnK7eKgX6u8aEMSlPn4x2VeX4x%2Flucz5LOE0xmEzak9g%2F44sUK6NmUDsf%2Bj76MwzvJabZ4N4Q90EsXgyhsZZKmKFVTrRjDo0kOyWxmof6T2UZn8%2BhrUtHf86uiUKRbdmbIyr1cKLhxfNM1js3XRUPtIDTAqKkfE578PF42SlDXpRSGwVrO8L5zFgJRQusdn2J86Ukk0%2FihuD4%2Fbi3Vi8rR2VGZ5TdpstnZk%2BLx3VSnBCcr59KHG7e70QuaCLQyndR%2Fk4m8Aw9lwNxzOZ6mkZJQUOw9PWSn97eKgseagZi2ln56axIgeV4x1UXwfR6nHdHuV0q9CjOD13QovIJqzNKCxH81ZUi76Tth%2B8ftjUtYb8YASlAmpqdTLF8GSn6JMEzmwc%2F8PnVidq8GNeyFpR9JIcM0x%2B6GHHurdq8UAx7NK7vKTQXZLTohf%2FSVlNdfsViGzOcVJt81ma4dBHDvLb4uDaBBGtehYbZJ9k74IdvxVZmwsIuBqTuzFPw0F%2Fb35QEXK5x8Ke04cNNUc1GxxVV6ZQmKC0NPl8fn%2FiZiWE6uIcb%2FCxi%2BJN%2F0%2FxMDe%2BG2FyUmSrB0XUnxx1cry18zlVTUlmwSFZuFXdYIyTTv%2FTlKW7CLKtegnaufkRSWCV0vqeT%2BmxFLmRXbv5GTR1zU1o1LlWkd1pYfEZ0ltL6IPlCzmw6zytWxisNls7XEuVz4P5bWUNQvfED4zH9i4A6fOqHhpd9lB3CImJ3A2ZVzxOW4bn%2Be%2BcXtc%2FOoqcTxc%2F74%2Bd3NQ85Rz5fHUB9pMZ8P3Ms31%2B16elBDjEusS86oixeu6jQR0XXFENGarUWg3yaxelZqmlNKLMi41DQRy83DzNG7RBMdQzPvjs7%2BUExTkhgmwOd1ycvI%2FE22cTOMMk1i%2F9ZwE6vTpwLBz42fKFJ%2FUTuFUr1mbzWabx0FTtGnzePjLm4N3TuO0mdEDmgdVi2%2FFxyb3QP7P5ATORqKZPh5OTFRKfJ84flKy0FBziTzM1Nodp9j0aX3OV1AqT48pfVTEtMS2xLhqeHdC0pZAUxBTyznuUoIyUgPqDolfnxZ2jb74p%2BXIOD6z7Grz1QBzxPtEPrAxbA9Ku4IYapycLBzsgrAjgvKGSrm%2BrcTkrJT1T%2F07ZXN8KGXwhF2bzWb7dJnXRJ2g0Gt6ixKU%2FaUsRV%2FqoPi5CplVM87CkxM4WyVde4jLmXH2uDje%2FSXNY%2FkcOWJR1M7GpKxs%2B1SGKit2HUksG6gktlXju9HWgBY3x7fU6yvzH6DSmK%2FHxfXD%2BKJ%2FlzLpu1t1ob0qh%2BYjyeZrUPxnfNY3xWd9ogYDjcDRJSumLBSSCl6VZk41vlPfe0HKFLme0YnJRO20eMfKZrPZPr0TPSM1Tc%2FmlPkOnTr%2FjkZ5yr2RY5fUsPH5yJOTEXA4XA6np0zK9l0nJ81WlkhZHCVc%2BeySszQiYHdiVsWujfPj8gHXxLhenm0TjTNRpHRUghNSw3x%2Fvuhcm5sdlZQNrntMR2lTfEy5xDZFn%2BXD8Rn%2FJewYXWQMa6ryMeQC12rjrYZbMWB0YyV0x8XndnXKGuKY%2BE597zSRgiWDbTab7fPLZKYqiKZhe0z4UkpkjmaDklNpJmhbQXLh3ARn6%2BSEz%2By4MKaRPyKOn%2Br1tsRl8JN1ysdnmvdJ7S8hh3WIWYldiWGJDzRY1HLBRRT8LafmrhLq%2BKmh1MDAA9CLjt9zwaE6wcyOsclD7JZUdx7VlL%2FF53sOx5KUJtE7gSShL6pPr02cDUobSF1269atT6zNdenRUZ0pR7s0xFHfO047gl6PNpvNtmicND0VCLWEb70SgRwUj8LnfrmkpKRnQQ%2BKpVjn4yfJCK%2BFUqQEWQoH%2Fnqu1pILCBFzorp5jU6m9peAw5eJVYlZVQrvQYrFjsGDB3eNTLQvO%2FmSxturQK%2F7FmWw7FK%2FJ8fmC%2B9%2FE0Ch%2FN07Cqgv4Rhd9ZLzT%2Bw1BJwPTZrxGQ1hLozU5Q6LX10mp%2FVfJSbTk8sObTab7YvI3ecJCoI4FxFoa2Bw42Rt%2Bvzcg%2FLZ5ATOhrsLB%2F%2FG%2FZemTPn0HXH%2Bx%2FPFAraFr8X3FGPyGeajF%2F6ATDOzS4hN6%2Brq%2BlDC5SXYvpKTL2mXui%2FqHRoqtGMsiJ8x3CYecmHK6vuf0ynAHF9Ui3Q8OUdHlOwE3II6mib1bqCp5pR0reAV2AR2RFiL8dmsrtrSvSmDi19dmTKpRj7LD5Jlr202m21J5FmnapOHuVBj2DzjdJry2fC7W5CguAdlgShRaddA1KJ0qn%2BkNnJfEufPSS6HXxTLh1Y%2FmzJxmwsUJ%2BVDq0cSk1JBQVygEi6jHYF6veWRYotF0Z2FIN3ozdCRjsVyMOVI8Zh7UlZOw%2FFbXuPvnesFq6Pkzp%2F63kc5hdIuwAZ1dXW9%2B%2FfvX6bExMfmOjkiMRk2bBiCDSTJX8FBUW%2BassFWfIavyJHNSE368Xb%2BNpvNtvjlxrN1%2BjxOJyiNpTQoUAVX7ckJCiVe7kH5DODsFeBwdvOlILmXKk0eFedP1edr9cgFn5Z8lJqGKpLQ3YX6JiqcbOBqdskaDAolJiU2JUZNlrpu10Fi43T56urqmoqKCo52N6IWNRbNr1OmkHSvsty3FChOTk0zUZyoNKlzTdYR71M6pjxCszkGUkZXIB%2Fc3p3%2Bp3pMSEwkbckcnmP12aGEgqTghGRFLpvNZmtuJS%2B4nHLZR5SgHEGJF72o7kH5%2FM00uBxOh9vhePHV0%2BL%2BycnqXYUJSS7KMFnrDU5HbfNuErv4HA%2BiYodkr7KychCzSyjxTu4tMQovPoLFfGijdgZYNAfE704Ou1rHwE%2Blppko071LMM%2BmyzkRVN8Sn90pnJqQ6NHQpYm8hlDYY8KOCYmJep5YZ4%2FNl5g4AbbZbLbmDRynp6YJ3AjhXKr%2ByE%2F1oOgUxRDgcjhdm7h76aSfcQxPKgaY7vU1r5pkumLFfHYJlTiUa%2BdN7wgyrV9VVbXKfImJYTSB3WyO0iQ3vDJKCXHhfU1TOQ9K2eBGym0Y6vS6Ft1MX4SNxpRY%2BnNuRfksPrf9mMZLH0VccN09dLEJaJOrx2SIekz20YkJiQkiAq8qMZnh5Ndms9mWWg8KfXz0lFJmQ5P8pepB2TPvQdEJiiFI8bR7aWnp0Ph8to3P6efxebGBe1vK1LsmeX01Wl7C9bpiRmLHU%2BIz%2BxWtA6yviAOG5zLB%2BewSrzBjQceW1PY1zkTpFqDMK6w%2FCygW0lY0KiPzpkWWD20cnyztyntn9gb1u2crMdmusrLyy%2FSaxO2KyUMXPzXHhB4nqXLtrZ2nm3Vi8mpB0puXDbqky2az2ZqXs%2FKym7zE6yWdoLgHZeHoAKfD7RFUr43aadgv4v5zFAO873ho3rT3VxUr5oOoOWnakpEKkYz0I8Yk%2BdWJiWeXGIuEjih60azcr1%2B%2FWEc1uZLSftolYCYKQ%2FHyXhR2umkIm5XaRxnO%2FEOucOw3SQpvVDitdfr06dOPHRYfizeisaEQRxRk10tzTL4vVa582q57TGw2m60V9KBQZkuJFxUUDGqUitcKyQ3KCU7v0aNHBZu3ERutJ6XTP2qT7SXFBPkGW3vgso8V%2B00Vh7%2Bl2JAY8Vpixvh89mWTO2KjwZyUDB8%2BvEvBMEXDWPwjzIaGBoY21mmAIKVKPyYI55Qg7AbtFjynBTkptQ%2FZ4cJ6St43Wt3nxmfzU6TwwmmtXF9fXymN7nZ%2FVIl2vqQYB7EbhzqH5phQf%2Fpoco%2BJzWaztZYeFDidGV2HSBxnhJrAq9i0dGSUOsHtBNkB5p9sQnlyytS7HlZM0J76cuco9ntLseCDig3P1obtj4kdUYTltGTkyJErUN7tZWQsEdQAtmJJSUkPeijQ%2BUapgkCc%2BtSUKXrdrt3vt7UL0x7UuXA%2Br%2Bl93xh2JDrd1KLmiYkcebvvN2H9QG7x2Xz1%2F9k7D%2FAsy%2BuNPyw1CUnI3iFABATBgYqoVLSWin%2B1jlJ3i4tWq21ta9Uuuqxa92rFhQMX7tm6QatWq1ZrtW5BFBUQQfbS%2F%2FnlPa%2F5pEryhSQk73ff13WuJF8gkPd7nvs%2B53nOsI9HevH7ZD9ZeSM01phkykmTTCaTdcQaFAIU2gxPNbuSQyTj7MM8DXdjb%2FGa6aBr1wY8C7TeZ8XtZ6%2Bf4pkAFMfPcF3LhO5dS933wxf6q62XSV679H3vWIrPOBgfkmem2hKhNdBQi8JGxNmmkNm7LG3ipwXMRPm5ffxziDpW0JFhtm%2FIT0IyhxJ94teX7zoJ%2FdV%2B%2F78wwJLOU%2FTp5trXryy7hszOoWxoG5ydnV3hp2%2BHk8plz4ri99QBi6oxkbX3Hu4spvdL1t41KMxBYXr3NNP5axnMbHao2Qj0X85l5BehbXENJQdvpC4xuyNEwwWfdx9hcUJ9oNiWu8%2BH73c3vqD7hIf4cO9NWDP4jmsc2OrmRGjdTTl27NhuFMzb4qv3FJ0DvQMD3bzuCo31AxRELXTHc1WCHM%2FVfiLClF0GCV3m19%2F72Qbc0r4u0sZrIJ8NuTGhRaCfLH2TUzgzUrke98BkTlBDBVnbOVorXDxZY0vcUVjkvETvfVIR5rt95LehH7rN9fU5x8U3tg9S7H2399aw%2BPXUP5v6M%2BKfOzfl35vn%2F4f4%2F7PA%2F48L%2Ff%2B82H%2BPZf47rUgYr8o6zv5Z4usUjXvUuPsas19xCk5mgKczxUPyMr7ZC5qP9pMCRztm%2B%2FryEM3yeMX39OqE8eqas0saRijgA7ov2NCOmpQ3fEV8RvlEQruAkxOuMxmc4zNRcDx%2FYN%2BiwJl0nfvNng1R2lPcfSkptQSr3NmgViLuDc8N0kgjqD669m5AD05KeB50e6N7mc%2FMISf3EQ9MZrvDpXbBsrbYo8t8fS1w55%2F1xhyCmc5L5Na%2F7g4ELUBf9NO%2F55y7aH%2F5T9%2Fn5JE%2F4UH1Y37r96iv5WkhSoFJtWn%2BvUf9zz7mf%2FcJ%2F1lP%2Bc9%2Bxv%2Bt5%2FzfftH%2FL6%2F4%2F43%2FI%2Bkh73jQM8f59GP%2F3TKlAYms%2FffPIg%2BwWYsPG39fQlcqs92pP%2BW2AMczqKYyoPm0xDVfYEcavdjHCfbyNb7HZydI41aHxhbBbzl33ec%2BHxkRP8AXjIcq4iPqlk1o99OCeGgjm5JTA7PRFDozXMe%2Bf2ZonFsxwx2EFQnZoMv9tOA%2B35B0nRrJICE6ePhpUqaj4aqbAUvU4djHn5L65s%2Fsv%2B5kLfI1oVNfWWs7Vkudc%2Ba4Y4%2BTT5rKCx4Q%2FMODBgKJB8z%2B5re%2B1I7d7Nx1nYvuVWbkUF9udqkZjUBI3SCVlTbY54doUO25buf5axf4n5nI3%2BHv2uecqE7ynznZ%2F40p%2Fm%2Fe7v%2BHv%2Fmp6zQPap7yk0kmK7%2FqgdUsP7VcqABF1kan5Mt9fc32oJn05Qt8rsc%2BdFwkhTlEU%2BQzHRv6YS1NA3ZkNpy9dobr3dshGXUncV3SfA9MOGwhC%2BJ0glZ8P%2FMBv%2Ba%2BIF3MSvERdWMitHtwEqK%2B1HTyys3JySnzwY3DfHjToSkTv58Ojd2YOmvR8ycpjs8CJ%2BvrnKh3oqVgbW1tgffrzvh8XK65OV3zCbAnmV0UoiFV%2F%2FbTuCWhMS1FwYlsXWtD4puSuJXl%2B34o8rLfSvzDAxFywSlYvclz6a8kaCBwpt0l8x3MTvM2qr8llYX8abMTuPnj4IU9zwkhM3rs5xxl9l2zI9cwXjvK5%2FjwZ4%2Fj7%2FrP4Gf9nJ%2FNv8G%2Fxb%2FpsyVoufkXUkU9gLneA5e7%2FDb6EQ9W%2Fu2BytvuPM5PuUlZFVTPIlv3fbfKOXqJ39oRIN9JgMJhE%2FM9TPc3s68L5YCG7mg%2FowNIZaL21A9p2b8vuc%2Bwag1forONTYi7k85wDrqe9sn2e44jKEHvCUrwBfEJU2aXKDgR1p8zSpETC7Kurq68oqKioVg%2BLn7GEfATQE7MSan4MDT2Ae8szmns%2FCzwzUm6xvm2OQ8mB5fAZPz48T18Enwm5uB2jYNV%2BuFTj0SQylwcvzEhMHnWT7EXyTGSrcUZWuZCyDr52B3veX5TMNsDj1m%2Blt72%2FUjHt1f8duFZv7ElGKGL4K0cJHgHmYuMm861j5z2nUwNlH39C8%2BTPs4HzX7PuWsc%2B9vsAG7%2FSFfwzjN70RbT5z7taj97tNkuaxi3yLvyZ%2Fiz%2FB3vcMjP%2BBY%2Fk5%2FNv8G%2F5e3Zj%2FEg5mfUsBG4eCHyGfY1NzHc2FxpdoPfstzrtytPegD2ogcscSrYTH9Gs%2FyZzfZnOM%2Bf6cf%2BjJcENaSQrX1vLvS99k9bj7d7EH0MReAcSsL5Kc5oRuof2j927NgNfHo8Qdu3%2FQb1UX92C1J8ns42xy2uLXnJb5xvtHVwqndx25EULubh4QN6wbsCEqHjgNzCeGgjAYq3jT3M8y8nupPw99A4EyWea9EZCDo1zxJn4AacGoYK9erVq46%2B3Zl%2BckTeLT3MCUxIc3MHj6vtO%2F3ULW6tmJT0Plnr98pf7GvkA3eu3%2FBDjef9BvZxd8gf8ID3Dr9Z4ITy6hDVNBEMfxaA2OcUqJ7oqQcEH9%2BFl3AevHDzWx507Ml%2BJqjm5JN5RRR10mXO1vWIsrKy4QxXNQHeymxLevZ7o4dN7d8YnGq8xvf4M%2FxZ%2Fg5%2Fl59BxyN%2BJj%2Bbf4N%2FywP53fg%2FeBDzLW808p2U4IWaPk5jTzKDU%2F8YotQR0si4mSRlbLIHL7f4votTxB7xgO0Zv3V52YOYd1JuXjJlJoMsfVvh%2BseaoY7iVr%2FtI7jenhNziuR9rlcmDtVrcMaZ3cFcOJ4HBxMcMvh%2BfNJ9h3mh86R4LQv%2FO1ARXvmLF%2F2Po710UVHRwHioohe%2BC0LH26C01rPIucFJZa6FCzGCO56TQBfQe0NjR68FoXPkSy9y5%2Foffmpwujvf26m1YgM2JMfUb83iIYu%2FdWJ%2BOjQOpVoalB8v%2B%2BJCSwKTOb7P%2FuuO9KPOFxxsUGBK3cZ5nnrFzcJJnlp5tH1%2BhAccB9if%2BabfcOzODQZpB97WsiHYsNe2NduGNFTSETjpJKAwG2TfHwh3EWR7qmofE986W9u9zWorKytrCgsLq%2BnZb3%2B3kjbZ9u%2BVpxqv8T3%2BDH%2BWv8Pf5WdwmOGNIvp5IA9PDuTf9qBmM0%2BR2Ir%2Fo3MoTUd2tJ%2B9s9%2FUjDHbw2xvfld%2BZw9kmCF0DCklfnjyez8guNC5lxoXhqPd57fZ%2F%2FIbp5kp%2B1PrUfZlQxo%2FdN3G2b7WO3g1DGmk3gInlYG7mSyEa7TOP8L3383%2BzN52X6IzvN9xlsizfshxmc%2B8OdJvjreFu9B9glJ%2Bbw1WFDry6UFD728KoQoKCvJTTtJH0GrX6w8uDo1pPojiwtCxc6A%2FceGmmPZ2%2B%2F%2BfxTRYHB%2BcCc%2B5zeR2il241sfZigMTT5W53E9sZ4TGND4NWVTtSNySMrUtJSf3s9xR5mT2IW5FaGFKKhaHAdzAcvvhBx003tiLJhwlJSV0htmK9Ep7bQDr0P5ubzOKdavNGoIIDhHIh7a%2FX8qka%2FuzTAYtwtjDdJej%2BxC8hbGmMVIVMG4GY0OMMXjOiz4%2FZ%2FHr8Z9L%2Fbvxz4t%2Ffvzv8W%2Fzf%2BD%2F4v8v%2Fn%2FF%2FF%2F5P3vgQyBUye9kVuO%2FY29%2BZwIcbmu4obF%2Fh324q%2F29fb17EMHb8R7QUVfD5GYClbt8jxKk0B2M9K%2BPQ2PtyuqgWhXZ59N8FvotwFTv4PUz13ZuUPqwtkNmp%2FV0Y%2F86H%2BHE%2F9Cez9l%2By%2FuC%2BxKfdHCejtP4OCC6yzn4RL%2FR5WCnHt8O3oLnfKab2gULnSZQaZiJQqoXp4e%2BqA9IGdp4u58mvOEnpgv8dKYjOLCpTtQKd5xISbvETyUR%2FeF0pPLWwV0y8P39bAgVzp89j61TAtCL%2FLSFFL6P5NBkbP3IUg9MF7gos89J2XrXxe9ND0ie85N81swUnx10rheLn4Bz7V3x9uYWxIRxO7PNbO1t3L9%2F%2F6ptttmmaPvtt88lvdJvMbu0kbUKL7a28Tvzuw8fPjxviy22KOnXr1%2BNOQ0DSCkzfhppz26Mt%2Fgc5zcr7NE%2FUstCU4AQpWvc7zfDOFC0%2Bp7uh0ez%2FD2b63t5gb%2BnS4OaWmTq%2FmYvU991d1wgjyb6TWQFQ4hD1BgmE4ftdcEn4IYUn8f33fF%2B6%2Ft3308r1gj8O0rB%2B3zn6NedC2712SUEJvvj8%2BDL4dOlzC5RQCJ0TnDVx2kKHa08PWEs%2BdMUe9q3rwhR0SqnpRRzzg4dI7UgdeDQIt%2Bsd3kRLQHWCFoH0z7QXs%2FEepOuFL5BwjwDT4fZ3TsSTXQn8zknYqWKZGaOelxIOdOd3Rd8n5Oq9YCf2tMsg1oRblPPMTvZ05F%2B5DckB3vb0jE%2BQ2DrsrKyTWtqavoRlIwYMaJw9OjRORMnTuwhpo24dsKECRvsueeeucOGDSsmSCHdxrh3KI4FqW3UtvhcKm5UjvLDll%2FZXz81RPUrOFHXeMDCDfeDHjg%2B4w4pXPiOv7eLnSO15jPLlvoaaDhZx4H15idjuMGjKDzlRD0Tswo2IsWNvedppNSP%2FdE573Xnxo7SgCIeuvmBHxQ95fueBiJ%2FJEvEAyxq7%2FoOGDAgV%2BlbQmKAI8sMEArFPMd7F9%2BwDHU6PUSFnKRyvOync%2Bu7MDMOTJa6CONoX%2B1XtLQO7pdSAJiJ9Sbd%2Bd19UnA9jiPOpDs31Ai86OK1QM5LxtaPfOBCjAMzNURpDexzCtbp4odDfJwZ6%2BZgF0DSIL7u3f4Q9a29HmQTUpeo27D1Vg6X1NfX51F8Spc8E8uuYtnPApSGrkEUqPbt2zffnaRKbnlJx%2BAggUJ9r2fhsGhndyq%2F4Wkb3%2FaOZT%2FxHPMzPXi81p0rGhKQBhbfeC%2FRzUlGNq%2BY7wcPL%2FgB49leh7m9aUMf9qinPGakPnJwx97DV%2FA99iM%2FiHnOfYqlKQHK%2Bn4vuQn7rx8aXU2XVe9eeAANO%2BALUvYIOr0blyAkAg0pQJwmcINCPqYXhW5JXjQzUbz7wyQXvrdC49DG1etp88aByUf%2B%2F%2BH%2Fda7XU2zqk3G5McnIkyGu7bkxITChkxHpXF4Af4sHJh8GTbDOpDqS1JkIOC2kbZHS95jt6ztIHSLv2md7HONtdLlpG4nwUViJ%2BGVlZdVQRE59CHUW1FxQg8F%2Boz7Db%2BqyWX%2BIJCezpBfQxlOneRHXekvThpRLipNJu%2BSZ8ex4hjxLr2sppgaHNBx75tUM1OPwiJNvuNmHyX2DQns%2FFf%2BNt2G%2B2oOUx%2F0w6b3Q2CZ1ZfjfOSvaK8k8gFjuNwAf%2Bo3aTV4gv6855VvTRAJnNkML5OPW%2Bhux36g%2FwXcI0ZDW2MdJnfu2Pt6%2FVf4ezveDhoc9nfaXnv75dQ6SPT2t0GuJNgqqLRESHKg0TJe3xV5hBDbYTxUO8ZbDV%2Fnm%2Fa87OBDfwvD5Pvzt2UaPYu6nY%2BLlhBER9%2BvqjA00KYTjdCwlp%2FanIUoHIf3j%2FaCWpEkMROL6q9Q6EvbnbN%2Br00OUmvm8r4O7bW1M9tqR3%2FgwQuaG%2FJ8FtNuz98lftkCjV1wrkjInqK1qPjKee7%2FEPgtouI3CqeSWinQwiuvXCFJ%2B53NXrvET8ydCY50KfDnL18Q8XyOL1wN%2Fy9p3BhgBKumaE8kuYL1w60l3OgLiTHZo2VP4DJ6aym3xTe5TxK3122ucQmoDkoXO3e%2F4IdJUsyvcx%2BEAdifj50HcUqdMeRf%2FCpkhlKQFeYAyyPPJSfM60b53gW%2FgaX4i845H9%2B3ZhnZxaMyppWvQOaQt0TqY7jmZ%2BqZxOs2JNZ06KH70wOQEL4AnnYuc1Y8l2ImeQxKL2mseiOCcUpfAXA3mjTBr5FxvY3s8c0W8Tovudl8xwduCGzfmIdF23AMSoQPB3pPupM3V1NRUMmDNjL0%2BytPuDvK0rxPsjzJHhlROOvNN8RsV0nMppmWeyuserBCoaI5Kcu1jP1C8xwvkf%2BIT5Den1Syakck3m94dEN9hPL5EiFJcn3EeXdyOwclS96Xecd8KH%2BtGs%2FN9EC0DZ7%2FCSAAGanvauoISIbMQT5X3dsMbU7DpE5UPpaNXiHLT7w5RfvNM31TtNcBoQUy23tHmx0QDIkcAAIAASURBVD6vJU7pyrhgEnHhdBWH0mc0kJL3E3dGH%2FATmA9C5xmsKUvPcC6pMXjT9%2BTDIUrj4%2F0%2Fk9RMPzVl8Oq3CEbIV%2FYWozi3g1k3RUVFVaQEso6Uv9xxDyFIxyFAIW%2BeOS1er7Ip81eoVfEhu8xa2c%2FscDNy6n9jRttUUnSZp%2FKIBynTPagVNyS3QP59v0G7129QjqPVNzfscXcnD1AyztnFZ2Dv4EN4O3RuHu9xH2NBO71HcQrXTOdvfKu%2FeOe%2BcT6Adpu4TTC%2BWQZniAiZfHNihqO7AdeGbF5uUXzw2VZ%2BQkcayAW%2BieMJ4%2FNc4Noyl5mfPdtP%2FyZ5H%2FexRrLbkkeboX3cG1I%2BEBlOVPw9Guenpg%2F5CemHobEVtAQ7WfUki9z5eMVvSu629%2F8KnxL9U58UvYc7rUMJQqgfoZ6BugavM2uoG%2BE0Lq4ZCcpf7qjoSpod7xE1K7xnPsuoYI1alYaghffcB1zu5UXRJ%2Fg8FepT6Nz3T%2BeI1AJ61aUkqztfPET1VT%2BsOpvmCtQvcUtKgwZv851pU8QbupXiO3ga9Fh8Cg%2Fg%2F%2BG%2BRlv7M8vcd5rhvlTDoat3Td0dPec2mzQueJo9L34WBA9UOKnjNBXnl1xnP2WgY8yFfgr3eGisRZkfWrfgOs6pX%2BUbmU18r3et%2BDazAkhv4IqajZtpbxBExSkqXX9wRNwR5XbrRr8xmR8a59PI2eicBa5xPvIifz%2FnekDCPBIKn5%2FyU9HrODSgRoz0HgpgSfmxvTGEGhI6RLFePF1LdSPJ4unPGe8x7zXvudeobMZtmXf9ovHB78y4AZ%2FiDusz7ry%2B42vrw9A4N0VDWjs3f8Q1afEMlBtI0yYbgvbfHD7ipGfibakH%2BKX4ED53iJlNf3I%2BneFrP3XoaWs1LFgcGhuU%2FNd9qNt8dgmpd3via%2BFz4Xt58wIFJIKwJhA7TlhwgkkF8faW32cYW4gKru%2F0k1ucJXKZPw6tk8ec2jqYzfyikyt5mLuSg9m7d%2B8KHPRMJFdut%2BjoE78n3haROpNH3NFor3Q7Wdudri11Z3Gm35DgSJKTzM0ltSTMr%2FkTaQDMx%2FChXF8nHRPRZX%2BohiRzeZv5B%2BaEVVFDyBwoTxM5iCCFDkD2x85wDp%2FitykUUD%2FrwQrOU3sWB8vatpkMHDLV7M%2FMyeB0ns5PDOvN5MM9OBJfwlOiuT25wX2NuKa2tZpGrHLf6F33lQhKqHO5FF8KnwodR8%2FxtfC5xNuC0ARIHyKFAGeYFnykC%2FjQMEiOQWGkCjDNmFzm91pJ0OIbkwXubBMAXUSKAlee5GBCLj75NtOupUPcDtHTNo639%2BLPIerUE7cNVqFr5y9258TzTQ9K2F%2FXmV1Ai2jyx72W5JsurDuQrkHbWTry%2BKlgrmpIMhexAwZXksLCPBW4E%2F72TkXUIR3ht%2BG%2Ft79yoQcqpIXGabvzxSWJ6N7FrSv1J3etUbM5mE6PGbg9uuE7xPvD06IP9wO%2BJ0LjTLBlrbT%2Bl7lvRMOS%2B8yuYuh1PFCRPYme42Pxf1JtiSA0jc9qUchzJseZ3GYfHEZx7TifiXJJaBz2Nzese0rRcj9peM9%2FJjn1f%2FTp1EyCz87UHEzyhJk94dOlf5DSmevffjKzKKhFaGeuKVnugQm97p%2FkhI395S1j6cq0N930OPlkHgltMVPrSJifoRxl8XbM26wFAlXWRlyfwgBI%2B3yAN0bYyVMBG27E7XU6fVGcS3vV6eF%2FU0SV5tX5UrxoVftZ4TVpRLzfOMXoOcXxmbo%2F8CXwKfAtfGr83e5zvOc%2ByPJ15PQV7hORWvc3%2BzcupkUwrcAZ24AvxXuAb4WPJd4WhHXY1C50%2FX0mChOMf8GmC1F6wL%2F95CF1JsqqNEWNIk0K00hnmebFvnTV2JmNnIEbt2GIFETKzAM6jfjJ5ykhSq37d8ppj1K6OkcwEt8OxnnIc10Q3%2FITNk6wb7D3%2BTzqieJBXLT%2BrTP079%2B%2FGDHzUzbVkQhN8fZnxpoh5Y%2FOX7179%2B5jwcuWPpX%2BcJ%2BtwC1K3D7%2BBQ9SUmtS4vrCdHldtv5Su0jTe9sDlNs8nYigdBPveEl6VyYOMe7iB647e93HFb7uX3EfZEkLeT11dgl8%2Flf72RPhcp8jtxM%2BFM%2Feg0PxtiCsKxA3hM1noowi353gwb51VojST5iz8FxoHGy0PE0RW%2BhO2mO2ka%2Bzn30yG5rrV6ajZuAj787pJ5O6i4qKmBj9NdrEhsYOI3Fr56VBaRidzWHgtos8f9K3pprdbnalGRPcf%2BlF7mMRM4rcq6qqGorcTdCUsiW0GLSRHTNmzIabb755L1oTpxTP7%2Ben6r8O0QTtq%2F0AZJo7tq97EN2ereRl657atTQ0DjKm5uESrz%2Faic5QpDdx64rWZNpewKdw3%2BIQbk%2FwOfwZveW%2BSDrByXJ%2FztN9v%2BALXWt2Jum4HCpy802tCz6UUrgEoRVBsRantj4TpZ7ps37y9h0vLDvHT96e9NMaNng6LW0%2F8tuAW%2BmiQcEvPdpJRfAJt5mGjQhMyBH2E55DvbvIXX7C09oFfLK2T7VY4HsjviWhyP1cD0iOYgCXzxkayfA0Ug%2FosENgQhcXFUwK6wpObEeNGrVRXV0dreMrOcmldgnniaJpH%2FD4ffujBCrMgpjiAfQLfiL8sfimU3X%2F4xaAlFE6Rd3ujvgh8aA%2FatXQmkzbB%2FgU%2BBbcTNuzONo%2BPz1EHUlfcF8knVrBhc7rHBrSPfNsrws9hPpAgiBau%2BM74UOJxwWhddGQZmSWxcbGcfbBjQQpu9lmPNJTjm4OUQeYd9ZwoD9p4vSB4YF%2F5xrUB8ntSeoBrVF9SmomoQvP2PNid%2FJc1Ql%2BoknxHl3SlqUEJkqz6Nh1JXHnlrd9b3Ddfzk1Jb5vdvf%2B%2BwxJ7EPKAfUkrAHS%2BghMfD5B3BpYEFrEK8Hnp7Cm4FWKo1lrdHGytdfXB9Vt58XT1DudbHZViIp6uRmfGRo7NKoepWNzT2p7cvT4MXsvJ3ma0YEcguA0%2B%2BFfRvEKa5%2FbQ%2FMxUrtfkqb%2BmPsiTfkrcWfRuIEPt%2BA3EfyRKhkHJT6DqNyfcaam0QlC%2B4kc4saJLtOm6aHOtGITs%2B%2FaxqRd5S2hsd1wXIvyRTnLMYHy%2BnSzexBDUsbsZw4vLS3tW1VVVeQdujLBcegSB4EUsXqnnf28vucSdxBe9qBPTkHHrStZ4SeWCBd1JXGPe4TvVuZOeIHkoeyb8vLywTU1NZXsJ1%2Fr3YNqSYT25Z3uFNJzo0I7YtIJOVWmuxfd4ry%2BkPTDx52D3vW1vcDX%2BoqgepSOzEvcBjAP6690evTBxvvSZMM%2BlnqqUcYcfsCzFpwUe3obbbcP8OJ4OmDOCP87vy3m9nh2SVxb8rL7Orfg%2B3DYRKok6e%2FceqeMPhCXC0J7AUKjtz69wwlQPA3rCPvWb80uSREzHLNZ4YuLt1f6SRzEeT0FajhsRhobc%2BVMEWeG5Gg2BCb8rt4lrY%2FXmfyI26QQNR543p%2FjUgluh3UCcNIW%2BunbayHqgMTwO9Jj%2FuJD8WgnuT%2FpegQmDOAaOnRoTgZ20BE6GCZMmMBU%2Bp7O6UPgYk7Zuc32WVd0CiR15UE%2FLaYehSLiRb72FZx0TFvizjQ3t3cxxJX6ExxpOrlxQ8uNWsrg1qSjB%2FU2ffr0KbMggtTGr5nO%2FjREc09ecp9kzbT05eHzAxUfcx%2FnYg%2Fgj%2BDnxJzOPvIbb0EQ2lnIGqYTU7jNKQEzF8y2ZxYHKQEuZle6cxZ3l1qYciLxiZMmxZbkazLX5DByoCkcgzxSJqYmHQ2ByYgRI7I40THR2IzTHHudOhOG8P3HSXGBOwES3I5ZhLrIAxNO1KaaXWNr%2BkyzE7wz0j6k6rHGSduzNV7O%2FlGRpNARQNH8GpyO47aVF87v62mIJ4bGRiipXY4WBzXn6Ki2wh3rmX7IdYe36qdYe1M6QlKLlJI%2BmnR0w7dgnXMI6sONmXvCQeBTzuGph4Cp7Zl5fsyhuoJ5QZ7%2BuJf7PgNjTteNiSCsP3xuJorPXChH0NioONcU%2B9rnl9nHe0Pjyf8iP4UgMJnjjhz9wE%2F1uSb1pBi4w5YpLfe6x22DS0tL%2B%2FlME7pzke%2F9L39OcWqcClI73o3Jcg8cZ%2FnJ21Rbz1dSK%2BQtgXc12wbxYvBWak2J%2BtwLHZHTWZtek1Jsa7aGFrS2hod7I5TD%2FLSYOrhHnMNT50ToBqXjFcgvTzk84UZ3kk8qH8nQTlL6UtJKM2Kdm%2FXA1%2FD6zn3t69NClD5NN8W5HqAs98CEw0HqrqgZvJR0a08HIyjpj%2B%2BDD6TZJYLQwTY7NymcvHCdWVFRUesBysGeX8%2BJBMOOSAV4w08gZrgj9wgiRx4saQQUZ2bapkYUqK%2Bhzsaewwi%2FNVkzB1Yi27FuSWKxj9sDv%2BKnbgTak%2Bw9%2FI3PBGpoI0mqzBo5yBIuoTM4cZ%2FVGFIb5e3kd%2FKgm6YO3I7f6w7vqx6gf5RyCKXDlI5lONy0zL3LT%2F7H0tiGAIXBgJ6tkFFr3BtCkNp1gj2Pa%2By1v4codYsmJu%2B4z8L6vpMhyB6YHETzCHydOIUrg9LiBKHz4dNPP%2B2KkFFsRstCirrp9%2B3F8mx86iemmj1sr91t359sH0%2Fz07jhnCpn2jPzm6c6yM5nyJwUopQ4nN05EtQOZ%2BQjx2kSL7qY3RGiOTSs5R%2BTq09gUlxcPKBfv36lqisROjNYu6xh8vQJtv12FwftePv2Gc5XtDp%2F3A%2Bd4iGxSvXqeDe9pOFRyH0575%2B9l99EewsKCmozsDtmwOegYyJ1I7QV9gCFdOqH3VfhkHCy2enUgfpA5JH4OBw44fOIIQShE4DTF2onaFVIfr0XyzMT5SRy8OkYgtkmP5v0AIqEvX3lpqQSZNrz4sSKOhMfvkd3rktDVHT6qgu8RLXjFZjO9NO0u13kT%2FZi92%2BRo08eMymKqY0dyOkXOwid9NDps0nzrGnWts9w%2BJrP6KEF%2FKk%2BcRtnjnRUbhTVwKPjGQcrpOLdx02A3xjsY7w11KfHZxTwOex3H0LtiDd%2F4EbpHPdTLiRgodaKm3DWO13OaL2Nj5OBN02C0GnR0JrSbCMfdlTERvaTib28PeWxkIDnvB4KMZIGxp%2FzqbUZdSLJtXJcZ%2BJtg2kiwIk8edyLg3K4O8rMkk%2Fc2Xrfna877H07H3H3AXY7mQ3i%2FYzrSjKwfkpILq831KOwpp3bqUep5lCJgBznzedo%2FDlEtyg0QuGUfvkae0icsn65jJS7Wf7%2BkIZ6kR%2Bs7MicpUy74aWAnYNUbkO4RSKLA9%2FEA5Vj%2BNrnoQynkybczt8J0QDL7uJ1QeicgtbFB37VcppMXYlt7j3Y7AygKy0tHW22PS346BCD8GXAc%2BEauHvcMYRCaSfFP7qovxC%2BvP2yrP0HmRGQUOxLkeT0EN2Y3G7v2Xm0vyZ10T7uQDMDTuFc3FVXIiSe28m15%2BaXlqw4tz7g72ecODuXEcTP8L3DHtIA2fVvcVtcbn8p8r6d7pp%2BSDgATfIbgYxwvPE58D0YiVBSUjLSePzrqT4KgTe3JTSG8LQ3cbsgJMUZx2mjeMyDkC3NtuKjEcFQ8vKZBs%2BVshcMJx2fdeeKmwfQkjBE82FoqxznayPkytlev11uCEwYuvWmByWkrFxp79kpfvO3N7VCzObxlpzqbS9kFLgZJMWlqKiIdvI7eA3DD0LU%2FYiOXhTM0wyFQux5zmsqlF%2B%2FNXPwGo0LKPpmZgeF3uPhMqanE3D6QWHi%2BQyfg9%2BX35s1bD7JZkyPx0cxXt%2BCJhDotKecq75EEJIEOlJBALTcIxCBCPhoBFBJDjOBiZNhJlwpb4gja783wxaH%2BfyLX9vrt4SoS8h8F4%2BVEvH13iJ4vjtVFL1fS169pyTuz4ma2eZc9TObh4BTJ2pCpoEuRZwo%2B8yIvl5n%2BDUf4HhciOY1XR%2BiYvnpoXFek25O1t%2BhC9qyxAMUUohv8tb%2Fe%2BGQmzPeO4O6d3XD9%2FBWwKX4JKk%2BigUrZXxP9SWCkDw01KF4oXw2QkZtCR%2F9BiHLb0wy4Rq5Ic0N0uOq2MT7%2FziBt9cvCFF3kJmh8cZEqQ%2FrJyiJhZtTXlJS6Jp2nbcHpj32zjQwICixzxGz3JQZAQpOhEwDp8k94loU2xtlBCkE7j5l%2Ftu0HQ7RBO5%2Fhui0PvUARhy3%2FlJWl%2Fn78SBpqj5AeVe%2FPaj0A5eM8E%2FieqrYR4mNrzMpzU0QhAwVck5hyO313upMXT7ZXp8SovzsuRLr9SLWq%2Fw0Nz5NpNMQt1ikPEyhHsg7zu1AC0luShAuL3aXYAmCO3o4eX74VOq1KF%2Bh8Qm3jvb9m0J0g%2FKy77GPPEhZ4XtQ3Nf%2B3IfmkHZ3vc%2BuoUnNzgwX9FQm8ZsgCEKSQQqEEX8Jg6%2Fo8ORiEE9apq5hoQRzvdgKf%2FZ0F3o9RLU%2FzC6ZSModgYl9HIWzNXDgwKJRo0Zt5EO3BEFYAzSFGDFiBKfQxdQUurN7KLeP9u2Lze40ezJEA%2B6Y5bTI96C4qP1toXPeVFpB23s1gfbQpBzTkU3BiSAIQsJBwXRWVlaVdy37ic8FmBaiCeOI9DKJ5XrJwaZl8wf%2BPlBfcp0XvX%2BPGTy0wjbbOK4tUeG7IHw5mIvCHolrUdg7to9G0AHJ9tRRfotCHQo3k6%2F5ocDioBq79TU1nufPTfFD9t5cRq0QASVt0TU8VhAEIZn47OSJKctcl9PRJkSFoveHaNjiXBfnlRLLdk9rWOKBCakmj5owU1%2FyB5%2FbsAOOFUWRpDikzC3pGnSiKAhr47yu3skrm73DHvIgZaSnSDK49AY%2FDHjVHeQlQald6%2BPWeLEfjsGBfzM7lUYtDNvMkPb%2BgiAIGQdOnjZApOmnzjAnI%2F7v2muXmz0bGm9M4iJ4CWb7FL3H80uYKfMfs4fsfbmGGxOGhTK3oby8vI6p2JwC%2B4R3BSSCkGagwt7hBJ69xJ4iRdLr7U6zz6%2B1PzM1NA6eXRhULL8%2BunfFNyi0TL%2BU9yc%2FP38rgkovjI8PZQRBEITODgpEOTnkijwnJ2coaUK0bbRv3RqilIbUdAaJcfulcREU0iaYYlAGxk30dprjPO1uYF1dXS%2FVlghC64C9xJ5ib3lDEIqvfxWiOpR7%2FLAmHtq4RIc17XZYE3fwovaH1NabzX7u3SQHMzmeTmweoAiCIAidHZw6xYEJbRrJubaXzw9R62AGLqoQtP2HkH3ogeETZrfYe3I280vo8099Cd3UaBPsLYIFQWglsKfYW%2Bwxr0PZ2%2Fbcj%2By1c%2B3bt4XGQvl5QWmu62O2E62FHzA7x29PvmbvzaYEKPaaUrwEQRASgC7cmlBnwtA%2B%2B3g49Qwh6vnPiT3X6Gqh2b4CTCoXNyaP2%2Ftxo9lZzJqx92UMp4TMafAWmvGEZKVyCUIr8aHvqSz2GHuNPWd7bzemyhOg2H68xQOU6SFK8RI3tm9LdervmEdzDd3V4k6F1Av57Yn4UBAEoZOjK%2B0YfRL8%2FqQw2NfUmjwYoiLQ%2BRLfdknjios%2B57vTQ6tgApMzcIpItTNHaUhVVVWRd6eRAAtC2wcq3WzvFTHU1G8t6RJ1jgcoDD8lxYuJ8kt8DyvNq%2B0DFDiSwvj77H242Owke0%2FGMjTYWwsrzVUQBKEzg0JqUrr85OlYs7%2BEqBvKv0NUiL1EgtjmxmkgJ7DveUBId6DraWfqrYJ3J3gsKiqq8knAgiC0E0jzKiwsrGb2k9fjfd8%2B0smQwbSkXTKD4%2F0Q1UOsEp%2B1uXGIw4BMhgLfZe%2FLBfaeHM0wTVK71FpYEAShkwNn1xzfPj4r47f20u1mzzv5cyK4XGLY5sYzJlWhoSMXQy%2Ftvfg9xbik2pFPnZWVVeOpXBJeQWhfdGPvmdVye%2BmF8keY%2FZG23iGaA8UMjtniy3bjS25PZoaoQQE1eRM4xOnVqxfdCzfQkhUEQeh8%2BKx1Zt%2B%2BffNxfk1kD7HXLzR73AOTeCKyTgLbJ02BDjQPmsBOIkikIxetgs0R6mdWwLA4%2Bz6iq5QFQWhfsOc2KCkp6Wl7s5DaBp8ofzizUOzzyR6gvOYHOkqDbfubZgKUhR6gcNN8vr0vB9l7Mai%2Bvj4vpYOh0l8FQRA6Cejnv8GAAQNyKysraxg6Rl2DvU4%2F%2F5fC54s8JbRtV2OyxJ0Zit8ftffhKg9MDvNWwQP8tkQCKwgd5GCnl8Gc4E1sr37dPo73AAXuZJr89KAalPY40Il5lGfNjfNkez%2BOsfdiO9JfmVfjhzm6aRYEQegMIJULgSUwyc%2FP39KEdV8j9t%2FZt%2B52cVXr4PapMSFP%2FXV3aq7xwOQ7pHKVlZVtynAxpSgIQscCe7KkpKTc9udmxp%2BjUzockuL1uO9p0jRVg9I%2BKV4c7txpRmrXXsafmxOg0LlL%2FCkIgtBJQIpQVlZWFd1NGGLFiZO9%2FGezR0JUlC1BbXtBJT%2BdW6ppTH33GhNaYn6Fts7FxcUVpJEEpXEJQkdDN9ufuWaVDGv0afKHcoPiNSjwqGpQ2u%2Bgh8YtU83OZ0YXs7qY2UVxvE%2BOFwRBEDo44rkmA7yw80gKO%2B31G0NUXMjkY6UitG1KAqkIr3lgMhmnhlQunBx7T%2Fry%2Frio9lBwIggdDl05kWePcgNNXZjt3Z28SP4UDhs8QHk9qAalPVJk55g9bXY9GQDOpTtr7okgCEInEtY15pr8miJse%2F2hELWxlZi2TUDCJOllIUrnYsLxE5yyEhiSt%2B7565vg7EhMBaHzHPak1KDs6q2%2FT7HPrw%2FRrCL2%2BiLf%2ByvFrW3aUOR%2Be%2FaXmP08Ze5JkQ54BEEQOjjo0MV1N52gSOf6grkmiyV4bZJ6QIHsh%2B6scMp3E04Mp63krTPkjVQuzTERhM4F9ix7l1oHAhS%2FjT7VvnWz2TMh6ig1zzlAKbNtO%2Ffkbp97chSNXuw9KU%2Fp3CUIgiB0RAwbNqxHr169enutyW%2FspdvMnguaa9KWtsKdk7c8MLndhPNMbky8JelA8tfJYw%2FqLiMInQ3dSB%2BiCJsbFJ9N9F3b12fZ9%2B7wAGW6c4CajbTt3BOe9c32%2FH9l%2BjaG%2BVAMGtYSFQRB6Hj4LE1o6NChOTjDRtwH2JfnhahH%2FDtBc03aMu2AZxvfmNzJyR6tm0nlIi%2FaO6dRY6I5JoLQ%2BdAwB4VGI%2BxlGlpwg2L2QzMajdwVGm9QFgWldrXV3JOPnWep9znHApT9eC9GjBiRpSUqCILQMcWT4uqNTEBLTTC3Jjfavr4yRD3iuTFZHTTXpDUDEp5nXGdCW1HS5kg5%2BLMJ5s9o3%2BxpIIVBNSaCkJiDIOoc2Nu2x79pn5%2FgqbP3OAd8EBrrT1aLb1uNbz%2FxIGW%2BP%2BdJ3ExTW1lZWVmM9pl11%2BGPIAhCBwGpXLSlNZQUFxcP4MTeRPNE%2B9atZm%2B4WErk2mbIIqkcNBq4HyfFnvtPcFrs820LCgpqXTQFQUgOstjbttdHUJhtH39qdpG9%2FkCIuvR95NywMqgzYmvb0hB1SbuZQyA6Upr2bUyAws0WWqjlKQiC0AFQV1e3EYEJKURG2DvYx0Ps5T%2BZ3ReilK6VErU2KYAnMJlu9oTZlZyimn2D07xevXrVeWcu5UMLQrLQ3fZ4AXucvc5gQD8MujpEHbxmeICyNCiNtrUNLSN97l7vmnYgQSLtnglQ0EItT0EQhA4Abk04yTOi3saClH04vbeXLw3RZPL3dXrX6rbMnQ%2BcEHLNb%2FOWwfvT3pLJ7z5gkc5cSjMQhGSBPb0he5y97sNuD8BZttdvD1FXqbedI3Rr3foHQ2gatZQT7bn%2FyA%2BEtqI4ntsTLU9BEIQOAB%2B6ONBnadCH%2F7QQtbl8PkTtbZX33Hq5z4hjXJhJYHKnPXMmFx%2FNkEUTyGoGuAXVmQhC0tGFvc6eZ%2B976%2FYL7fW7QzTwdqZzhQ6HWpeDP%2FQA8EYOhWjtnJOTswuDh9FCLUtBEIQOAIqu8%2FPzt%2BT0jvbBRtIUwk8NUW7uxxK0Vm8bPMcDvzvMKTmHrj32zHe3zwdLHAUhs%2BBDGgcbB%2BxhXHCcfX4uhxYhKtyGK5RW27pGgxfq%2FB6yZ365Pe9fmn0rpQGJIAiCsL5BvQm1Jvbx%2B9455l6zF8zeCxq62FqndfFHak2mh6j49TxuTOyZ7xYPWayurlZbS0HIILDnmWMEB8AFcIK9fD7Oc4hSP5d%2BAZfI1n0o43Ome%2FFQRjIGtkcLtSIFQRDWP7pkZWVV0XefE6QQpXPFKQW0XVTOc%2Bt051rlz5KTUIZaXkOXHlLpKioqNonrTDylSxCEDAF7Pq4%2FgQu8W%2BLx9q3rQnR7QhrScucQpXi1Ts1f3IzkKbMb7Hn%2FPD8%2Ff3R2dnZlUEqtIAjC%2BglIzLoyGZfuJCaG9bSvtdfOCNFp3ZtO3nE7SwnauqdyMVyNGQb%2FDdHN1Bl0iuG0lC4xY8aM2XDs2LFMf1cBvCBkFrqy9%2BEAuMBvUA6y188MUcfEV8xmh8ZBuOLUdedjbk%2Fmhqh18%2F1mp9EMhq5d9fX1NCKJuViBiiAIQnuJIf3cSSeora0tQAxzc3MPtdcvDtGU8tlO3it0UtdqvfVJkeMU9G9mf2ECvD33r1ZUVPRmQvGnn34qERSEDAYcABf06tWrNwXadJKylyeGxjTb98PnU7xk6zYxfpE%2F0yfhZNPA79hzH1pXV9eLQzsO73RYJAiC0E6AdAlMhgwZUmDOMcPARlKUbd%2B61uwls4UpgYlynNfdaCrAjck9dOay5%2F1jZhsQFJaXl5e4CAqCIG7uDidQnG0csbenfl7ohxovBzUoac002%2BX%2BPF80m2zP%2BVjqTqqqqqr79u2bnxKgCIIgCG0Ncpzr6%2BvzampqKsvKyobQJcac5l%2FZt%2B4we8tJOw5MFJysezE86VzMjLmYbjwEJvZxa25NCgsL80KUQqCbE0HIbMAB3eAEC1DqUuZO%2Fdhev8TscecScfK6c%2FInKQEKacy32bP%2BBQ0JamtrB1lgUj5gwIBc1QAKgiC0E7g14XSuqqqqf0lJyVe4zjaj3uRBs1kSv1Y5maNWh8JLbqFoW3m7Cd%2FvTADH2rPfxoLCPvY%2BFGoisSAIqYATjJuLSktL%2BxlPbGucsZ9xx%2B%2F98Og155RlzjFKu133QAXNu9808E%2FU%2Bthz366mpqYf74H4WRAEoZ1AZ5jKysoac5K39tQBTuaYCP9EiLpJSbTWzXAaqNmhyw7DFjnxvIRWzWY7mvj1pfDVLNteV9qAIAip6M6kcg6QCFDiAY0pHD3TuWVxUMOS1jBqLLnZnugzp%2FYoLi7esrCwsFoT4wVBENoJPhF%2BQH5%2B%2FtdM%2BMbb56fYyzeFqMXtPIlVq7SqxHkgRY4p8LeY%2FYFbk5ycnCGcyCF6njKggktBEFLRFW6AI7x711CGBNrrJ5vdFqJW7285V6vV%2B7pbPDH%2BBm6oTA8Ps%2Be9s32%2BsafdCoIgCG2MLkzBzc7O3gJnmTxbI2NO5BgKSMvK%2BRKrdU4ToAvMTHci7mLIFyefCJ4FhrWkCtAtLahVpSAIX8DRZt3ijopwhjvLx5r92b53jzvT7zjXKA133QzNo9nAvaaFF5mdYM97X2%2FpXCiOFgRBaAfhM%2BItNQLezuxIs7PMbrXX%2FxmiFKSFEqt1rjfhRJPuXPfZs73Y7CTmyHgHniKJnSAIzeVrOGONwySK4%2B93h%2FqjoLqTdT1MQvOmm%2F3D7CZ7vqdze2KBybY%2BMV58LQiC0NZiZ0JXwUkcbSrNrrLXHg1R0Tb1Juqjv%2B71Ju%2B70F3lHWAOtOe8Q69eveqUwywIQjqAM%2FLz8%2FvAIRRse2fFq0M03ZzuXavEu%2BtkDBue7cHeVHvOk6jDtOe8U05OTrmCE0EQhHYITrKysqpN5P7PPv%2Bd2V0h6vP%2BQWicbyLBWrd6k%2Bkhmktwmj3ng3EqSkpK6qk1sdc21BIUBCENbAh3GIds7AHKIfban0I0nHFGiNrhintbbvG8EwblMuySrmi%2Fpa0wWqngRBAEoY3BUKn8%2FPy%2BpAjYl%2BeY%2Fd3s3dA4EV6ncC3vm8%2BtCfnL%2FzG7lgnPnL7Rnau2trbA21KqO5cgCOmgO9wBh8AlcArzkuz16%2FxgaUEKb6v%2BpOUT4zmco1bwEbOzSMXlxkqDGAVBENoGnxVYDho0yDi352Bmm4SoNeXz7lCvChq6uC6pXMv8OU43m2Z2HrcmdOfCqRg%2FfnyPCRMmUACv7lyCIKSDrnAHHAKXwCl%2Be3J%2BiFJyqRX82B1sHS61rE4wPlyiXpBmAwzM%2FbZp5SA00w%2BV1MBEEAShFdGN1pTMN%2BnTp0%2BZke5wZm7Y69eGqEOX6kzWPZULUWPSMLUm18fThqkzGTVqlAZ5CYKwzoBLOM0nLdc45pf20pQQ1Z5MD2otvC433%2FFHMgioPbnGnu%2FR9py3QTNTWr930yoUBEFoHfQgMGGoF3nLJm6jc3NzT7TX6dJFv3zVmayb0c6T3O8nQ2O3l8PpiEZBpdICBEFopeCkOw1NjFu2926LZ4ZojhIBytvOReLkltsKP2S6hZbCzAKjXpB5MwQo3gJeEARBWFfU19dvSDqABSd1TIVnoJcRLwO9KNomx1apAOt26saJZUMhpT3bs%2FPy8n5gz3d3%2B3xT75OvVC5BEFoDXWktTGqXfdzT69rOtdfvDFGt27yg1Nx1rT9BE%2F%2FKQEbqToqLi4dVVFT0RkPRUi1BQRCEVkBlZWV2SUmJxSXlg%2BOp8PbyeWZTQ9ShRGLW8sBkpT%2FDx80uM4fheJoN0COflC5urILylAVBaB10MWc511sLb%2BcHTSfY65c7B70fGusHxdEt4%2FT3XBvPsWd7RFlZ2VdNOweVlpaWMRRTS1AQBKEVxAwHGUfZh0rFYjYpRGlIcyRILc5RppDys9bB9lxPjVsHmwPRnzQ6e131JoIgtCY2Yjig8cwAs5FeHH9aaGwtvEzByToZmkjt4OV%2B2PRN6jS5PdFhkyAIQisFJwUFBflGsgOpNTGi%2FS5OtL1%2Bs9lzIUoDkCC1vHUwXXKYBn8DQy25mYoDExcy1ZsIgtCa6A63GErhGq8hPD5ExfEUc9MSV90XW24fujbeaM%2F1FGp74HWCQbRUwYkgCEIrBCfUPeTk5GzOCZAR7ElmF9vr97mQzZeAtSgvmcCEycKkUVCMOtGe62HZ2dlb%2BLBFbkwonlS9iSAIrYmuzi0bUahtjvOWNOCwry8xezpE086XOk%2BtFl%2BnffA03w%2Bc7rXnehGZBqad%2B5iGbuY1hApOBEEQ1jU4IQWAa2kj2UPNmFrOCdsTIUpHWqjgpEUdXWg5yfU%2FrZhJpzjVnu3e5ij082GLgiAIbQpvLdwP5zlEqV0cOr1qNjc0DtYVZ6cXnHAbThfLx00ruRGH279DW2H7WKzgRBAEoRWQk5NTZuL1FSPXY%2F3W5P4QdXZ5zwVMopSeLfXABCeAacJXktJlz%2Fmr2dnZlT5sURAEoU0B18A5xj27eGrX1WZ%2FN3vNAxTNsErfFrs20oGx4fbEtPMY6nvQUq06QRCE1kGF58yexEmQff3PEBVOfhQ0tKsltjDlZO16z0tuOFnjlkona4IgtAc%2B%2FfTT5tyMi7NbNlQXjn%2FSOf5EAkC0VKtOEARh3dElKyurxsh1j5TZJqQizQm69l%2FXuSa32zM9ixspn9hMq%2BYCBSeCILQXv8M5zFRitpLx0A%2Ft83Ps9TucozT3pGVpuwyzpHaH2pN7mHnC8zUtrRa%2FC4IgrINoYUy0NfHqSzG8fX12iK783%2FETteVBAxjTNQpMPwjRySStJn%2BWOteEGQQSL0EQ2ovn4Ry4x%2Bee7Mcpf4haxf%2FDuUpF8ek3POH2hNoTBjKSunsWGsp8GZ8S30U8LwiC0ILAZOzYsd0YwEgbYe%2BFP9Hs2RC1SlwW1M2lpcJFcPeA2Rmkc1HPQ0tP0is0pEsQhPYEnONthQfYx1HGSePs5TOdo97RAVSLDqDoxki9DnU7z5hd5DOsBqKpaKsCFEEQhPTQFfI022DIkCEFtBGmV7u9fpXZSyFK51rpJKwr%2F%2FSM26Y3zW6zZ%2FpzE6zdKioqNikrKyv1uSY9tPwEQWhH9IB7mGDOJHM4yYKUX8BRzlXLxdtpp%2B7GAQrpXS%2BGqOnJkWgpmoq2eoCi5ieCIAjNAaQ5fvz4HqNHj87p3bt3Bdf9Jlg%2FCNGQrjdClFOrwCT9ifB8XOhiNdkcgKMpRK2rqyv3GxMCk25agYIgtCPgnB5wEFwEJ8FNcJQfRi1cg8PE6c0PUFa4Zk5BQ9FSNBVtRWM9QBEEQRCawqhRo7qPGDEia%2FDgwYUmWPXeqYs85NvN3pZAtSiVC5Fi6CItJsnlvpBrfnMCBhl60jXHH7%2Bu%2BQVBaE80cA4cBBfBSXATHOVc9Z5z14qgFK%2BWBCloJs1PTkRL0VS0FY1Fa7X8BEEQmgETqA369u2b379%2F%2F6qSkpItGNBFt5EQdep6V4LTou4tnD5SXMpJ5D1mJ5tYfYMCSZ63Vp0gCB2B%2B%2BEkuAmOcq56yblrYVB3xpYYmvk3NBQtRVPRVjRW3C8IgtBMcL1fXl5eQoGk2Y4USJpRIPmQn6JJcNIzTh1pK7nm0MVdsrKyqnS1LwhCRwBcBCf5UMafwlXOWa86hy0Rn6dt77l2nomWoqloKxqrBiiCIAjNRFlZWU5hYWG1EeiWzDfxepOLQtRGmBM0pXWld63PiSNDK580u9meKV26Djcb4RODVRQpCEJHQFc4CW5yjjoDznLumhE%2BX38iax7%2Ff%2BDaeZHXneyBtqKxaK2WnCAIQtNo6HvPbBMj0R2MTA%2F0zi1Xmz0VouGLEqf0xGl%2BiIZx3WvP9CKzE%2ByZ7mtOwGb2fAuD6kwEQegg%2FA8nwU1wFFwFZ8FdZi87l4n%2F0%2BP%2FOa6dV6OlaCraisZqrpUgCEIzxamgoCCffuxGnqONTL9rn5%2Fqp2fPhWjGicQpPeOZMR%2FmBp8UfJg9153t840LCwvztOQEQegogJPgJjiK2xP7%2FA9wl9m%2FnMvE6ekFJx%2B6dnJrfiqairaisWitghNBEIRmBCdGnMw2GWrkuRd5xyZOdG2JCyM%2FUnCStpGr%2FZjZxNRr%2FaKioipd6wuC0JGQktY7zLhqT%2BOsH9nLF5s97lwmTk8vOPnItfOvaCmairaisWitghNBEIRmBCdGnEVGmsO4fjb7jX1NUeRUs9fNFig4SVucZpndb8%2FxT%2FY8DyotLd2upqamX1VVVVFdXd1GWnKCIHQUwEmVlZXFtLwtKSkhtfcQ467TQzQxfpb4P23%2BX%2BDaORUtRVPRVjQWrVVwIgiC0IzgpGfPniVfUBBJzmxcECnRaZ4oYbTenG52h%2Bcb71ZbWzuIYWcDBgzIVStJQRA6EuAkuIlhgcZVg00Ddjfu%2BhUc5ly2MoXfxPVN22cNUexZfq4hClqr4EQQBKEZwQndWow0v2KO9LEpxZAvhKgl4mKJTbMDk1X%2BvF4xu85Tunaoqqqqpsc9J5QawiUIQkcCnAQ3bb755r0qKytrjLNGGnf90L51vXPZEuc2BSjNMzRglmtoQ1MUe57HoLHerVHBiSAIQlPBiVmFkeZXjUR%2FZgQ6OUT1ElxLzzVbKrFp0la7eC8PUb4xxZCXUQhPFxwT%2Fl4pgYnaCAuC0JHQddiwYT2YwVFbW0v94eac9Nvrl5s9H6KOXSuc51aL75u0pa6dr5n93Z7l1WbHo7HZ2dkVCk4EQRCaEZwwhCsvL2%2BMBSa%2Ftq9vdeeaKbcL3OGW4KzdVrl4L%2FITM4K78%2Bx57mfPtd6woX3dzQMTCZMgCB3tgKorhydwlXfu2t9eO9%2FsidB4g77CuU6cv3Zb7gHdzBB1PLuFNDl7rruitdIAQRCEZpyaGWFylb%2BnfX6K2X1%2B4jM3RZAkOGu3Ff6seGZMVuYq%2F4906eLZSowEQehEh1UNemCWqge0xyW9a6X4vll6wEEV805Ii%2FubWaoe6PZcEARhbZgwYULXXr169WYAl315dogm23Jr8rGfAOmkrGlbFqJ0Loog%2F5mXlzfFhOik%2FPz8r9nXFVplgiB0IlT4zKtfGI%2FdaF8%2FY%2FZ2iG4Dlonvm3WTvsw19B2zR83Osue5D1qL5mqJCYIgrAVjx47txuRav8b%2FswvRPCdXTsmUY9y8AkhSH%2F5jz%2FE%2BE3TmmxxLAaRZqVaZIAidBXCWN0ihocclIWop%2FKLZ%2ByG6PRHnN12DiHZSe%2FKha%2Bqf0Vi0Fs3VKhMEQVh7cLKBCVB%2Fetvbl5e5CKk7S3qdujghe8vscXuONzAV2GycfT7cPhYHpXUJgtA50NBa3rnrUGY1%2Be3JP0LUVnihNKFZmhA3SVnsmnqZz4%2Fpj%2BZqmQmCIHyBALl1Gzp0aI6J0WDvzkKnrteC8orTFSLSHV42a7g1MTuRNDk6dZkgFSo4EQShs2gDnEXHLuOwscZlP%2Ffbk%2FtDVD8xX8FJWrbSNXUyGovWorkhapDSRdogCILQiM86swwePLiQybVGmkfb6zeYvRmUypVucMLVPS03bzEBOs2e5fdM4L9unw%2FsZZAACYLQWYITOMs4bBPv4Hi0T4u%2F1TlunoKTtFO8uFW%2FgWeJ1qK5aK9aywuCIHwe3SBHpgL379%2B%2FikGBJkTHhWgy%2FAwFJ2kHJ3RlecrsKk4a7VkeYB%2B3NyHqU1xcnKvgRBCEzhKcwFnURvgwxoPMqf6lvX612T%2Bd6xScpKcPaOrNaCxai%2BaivSkt5gVBEAQGbpllDxw4sKi6urqerlJ0l7Jv3R6iriwSn%2FTEh0JROrJQ9Ph9E6HdSkpKNi8qKqoqKyvL0YoTBKGzAM6Cu4zDtjBd2J3mHvbyRSHq5PiB9CFtfUBTb487OKK5aC8ajBZrxQmCIBgGDRq0ASc3vXv3rjAhGkJPe3OqJ9i37glR60OJT3riw%2BDFB81Op%2BjRRH0Hs40rKyuLmQyvFScIQmcBk%2BLLy8tLiouL%2BxuPfcX04Tv28pnOce9JH9LWBzT1HjQWrUVz0V40GC3WihMEQTBwnVxbW1tgjnOdidA2TDJnaGCIBm69K%2FFJ23hmf7XA5Lf2HPcqLS3drKamptKec57ERxCEznZ4VVhYmGdBCrcnmxun7W3c9rsQDRN8V3yfdnDCM6NZyh%2FRWjQX7UWDPbVLEARBSDkZG2C2I21v%2FWTsIZ2Mtchmhuja%2FoScnJyvmuj03XzzzXtxa%2BJFj4IgCJ0CcBbcNWTIkIKampp%2Bxmm70IHQvnWHc504P73gBE19yJ7hmWgtmov2osFosVacIAiCobKyMtvIsSGli65SdJeyly8wmxai%2BgkFJ%2BmJz3SzGxlaZrZtnz59ysaNG0c6F8WO6sYiCEJnApzVzYKUjeAyOA1us9ducq6TPqRfkzjNnuEFcSdHtBcNRou13ARBEEJU8GikWENbw9zc3G8YWf7IXr7Y7LGggsfmCk48aGtFiPrYX2PCM57ZJsOGDcufMmVK3IVFnboEQehMaOAsOAwug9PgNjjOuW6Fc5%2BG9DZPKz5wbb0YrUVzLTAZhgarYYogCIILD60ie%2FXqVWckOcJE51ukI9nrV4RoCvBsCU6zBGeVizQTk18wu4zCUeYDjBgxIuvTTz9tEPj4oyAIQmdAKnfBZXCaF8Vf5ly30LlvlbSiWVox27X1CrTWNXcEGqxW84IgCB6cUOyYn5%2Ffz0hyx7y8vG97py5OxZ42myvBadZgLcR5iQsPM04utOe4vz3PehXBC4KQBMBlcBrcBsc518127otvUKQJaw9O5rq2crs%2BwTV3RzQYLVZwIgiCYERYUFCQn5ubO8ALHY%2F0Tl03mv0rRNPOFZys3VaaLTNbEKIBW1PNzjDB2YfTsKDBWoIgJAPd4DS4DY5zrpvh3LfMuVCasPbg5EPX1hvRWjTXtXcAWqzgRBAEwYjQxKaXic0ghgWaHUMXkRANYPy32TwFJ00aJ4aLQnSC%2BHKI2gj%2FgYFl9nm1xEYQhKToBZzm3PYHuM45b7Zz4ArpQZPByTzX1tvQWjQX7UWD0WLphSAIghFhfn5%2BQU5OzlBmcpj91IjyQhedl8w%2BUnDSpHFiOD9EbTWfNbvZhOaXdGGxzyslNoIgJCg4qfSujr%2BE65zzZjoHLpMeNBmcfOTaeg8du0xzf4L2mgYPQYulF4IgCEaERoxF2dnZW1CYh%2BDY1xQ6PmD2iguOgpO121KzOSHqXPOoPb%2BrCPLsWe5sX5dLbARBSFBwUg63wXFwHZzn3DfHuVCasPbgZL5r6wP2%2FC4x%2B7k9z7FosAUrhdILoaNufFnHs6QHJ8X5%2BflbGTEebPZ7I8rJ9vojZm%2BYfazgpElbbDYrRJ1r7rXneRFX9fYcv5KTk1MmsREEISl6AafBbZ4CfBGc59w3y7lQmrD24IT6nNfNphHc2XP8rdlBaDBanAk%2Bh6zz%2BLlMjaa%2FdZFZlVlvszq33rJ2N%2BoEOPEu9NZ%2BTG2l41K3BBJHFxOaEiPH4UaMh5qdZp9PsdefCNGArYUKTpo0ntHbZv80u9We4VneWGA7e7alCk4EQUiQXpTCbc5xZ8F5zn1vOxdKE9YenHDg95bZ46a1N9gzPJVJ8WgwWpxEH8N9J3yoLPepCt3Hqpa%2FuV4sNb6o8tgjx2ORz4EXa822NtvVbF%2Bzb7l907%2BWta2NdeNziv1GmW1J28Ts7OwKL1TL%2BqI3L0liY5%2BfbR9vC1GrQ8RmkQSlWWLzptnfza6153cy7SHNtsmQkzBBEDIkOIHT4DY4Dq4zzbjWue%2FNoJv2tA6z7PllwmEWPlMWPhS%2BFD4VvpX7WLt%2Fgf8la1v7Zkp8sa%2FHHFt7DJKzZlRZ5N88yOxXZmeb%2FdnsArNzzc6RtanxjM%2F3583XdCH5IW8e19dmg7Oysqo9QEnazIqGa3ojxpH2ex7txfD3mD1n9m7QNX1zr%2BlfNXvInuPl9hx%2FZbZffn7%2BltTzKDgRBCFBwUkR3AbHwXVwHtznHLhAwUmTtsi1FY29m6J4e45H2XPcIaFpwBvgO%2BFD4UvhU7lj%2FEP3tc5x3%2Bt8%2Bbvt5u9e4DHG2R5zHOQxyOf8lS5%2BrTLG7NdmN5k9ZvZMiK5KSa95XNamxjN%2Byp83X99tRi7tzyhUM9LY3qx%2FeXl5id%2BeJC04KfcBjD%2Bw3%2FNie%2B1%2Bs%2F%2BYvafgJK3uK7QQ%2FrM9w%2BPN9qYDmgocBUFIkl7Aad7dcW%2B4Ds4L6u6Ybo3ie66x96O5aC8ajBYnUC%2By8J3wofCl8KnwrdzHutt9rn%2B6DyZ%2Ft3383X96jPGYxxy%2F9hikas3ghLyvsR45%2FiNEhWX0wmaS6Pu%2BkGVtZzzjOf6848Jm5nyQC3qoEcZXbXMNLikpKa%2BsrMxOaHCyk%2F2uPza7wl6bFhp71y%2BRmDS7b%2F3t6lsvCEKSgxPNxVpnWxIaZ2JNtec3Ce1Fg5MYnOAz4TvhQ%2BFL4VPhW%2FmaiRspzHUfTP5u%2B%2Fi7c32vzvKY43yPQXqvGZz0MTvQ7FKzFz2yXhWiaatLZe1iy0M0QArimO63B9RfHJmfn%2F%2B1srKyTYuLiyuSGJyQB%2BoTajnNuMaj6zd8Aas1ZPMn%2Fk4hB9vsCH%2Be%2FTXxVxCEJOkFnAa3OccdAefBfc6BHyo4aVbrebT1dT%2B5noz28jzR4iQGJ%2FhO%2BFD4UvhUIUonut99rSXuey2XH9puttJjjMUec1zqMUifNYOTvmYHm00KUd7mihTHZ5WsXWy1P2%2FetHfMHurZs%2Bc5kG9paekuSb45MUKsNNIYTb91Fxmu%2FGaE6IpeQ7WaDk7m%2BDObTA42LZnJq7Vn2q%2BwsDBPwYkgCEnRCzgNbvN2wnAdOeuTnQPnKDhp1tDeee6Yk8pEx66T0GC0OMk3J%2FhS%2BFT4ViGqU3rHfa5P3AeTL9o%2BFu%2FRFR5zTPIYpO%2BXBSdX%2BB9MfbNk7Wu8cRSrPch1NVeQtqlG2QYbaJF%2FaXV1deJqTsyqTGTGGGGQd0hbyLgYfoGfZkhQ1h6ccEXP1ejl5GDbc%2FymPc9te%2FXq1dtIuaeCE0EQkqIXcBrcBsfBdXAe3OccOFvBSZOGpjKIcabfNt3ih1p0TapKml7gM%2BE74UPhS%2FnIAlIBH3Q%2FY5X8zvVi8WH8qx57fGlwcogZ01bf0OZe787mLA9OzqBdopHxSNtgG9vmKq6rq9sogcFJtf2e%2F2f2O%2Fv8rhBd85GXuDA03uLJvny9fBCiVpoTvanAHnSzoTuJkXKO%2FBlBEJICOA1u826Ee8B5cJ9z4AfyX5oVnNBymfx%2Fai7u8EGMu4Vo7keighN8JnwnfCh8KW9BfYYHJ7O0Xta7%2F%2FKGxx6HfFlw8u2U4EQPbf0aG%2BZ%2BH0h4YGlp6Yja2tq%2BtrkKkxicIDSIjOcO%2F83slRDlxC5WcNKszU0gRxMBWkJ%2Bz9bM103AhyS0RkkQhAxGSg3BELgOzgtRa9JpzoVyNtduK1xbSYGjKP6vXqu4O1qcxOAE3wkfCl8KnwrfKkQ1J7O0Hta7xcHJt5sTnGhzr1%2FjqvFeHzA11oh4q4qKilrbZL3q6%2Bs3TGBwUmO%2F6zcgDDNOMximRb1JXDilNbH24IQTsIdD1EDhMLqu2HrZJKFpgIIgZDDiNB04zrs8HhaiAueHnQvlv6zd4kZHaOwb5qw%2F4FPi90SLkxac4DPhO%2BFD4Uv5eAYOQu91X0tromPcnHxpcKK0ro7zZlGkxSDC39om2sui%2Fc1qamoqbZPlDRo0KHFDGAsKCmq9Z%2F0ZZpx%2BMb2Wa2eun1dpTTQrDfABs9MpELX1sn1JSUl9QtMABUHIYMRpOnAcXAfnwX3OgUrTadpWhcbUrhmmuVNde%2FdCi5MWnOAz4TvhQ%2BFL8XviW7mP9Y7WS8dP61Jw0nHeLArVqL1g%2Bu3udJno06dPmW2ynkkNTnr27LmPGSf%2Ffw%2BNk%2BFXKjhp1nrhed1nz%2B4UpibbetnGBLyutra2IIE3bYIgZDDgNLgNjoPr4Dy4Dw50LpT%2F0nRwstI19l00F%2B1Fg5ManOA74UPhS%2BFThWgq%2BV3ua2m9KDiRpRGc3Gn2CzpoFBcXD%2Bjfv3%2FxsGHDss16JC04CdHgnX3Nzg3R9FDyhpeGxi4aWhdN37T9zdbK701g9rX1smW%2Ffv1q%2Bvbtm6%2FgRBCEpAUncBscB9fBeXBfiOoVdRLetMVdQZe61j7h2rtvWGMIXhKAz0SdEj4UvpR3JfuF%2B1gKThScyNJ4s0hrYnrpiQxGqqmp6Td48ODCESNGZI0aNap7QoMTpoMyJfTJELWDXB4aW85pXTQjDdBI9zfkDVdXVw%2FZZJNNKgYMGJCbwJs2QRAyGHAa3AbHwXVwHtwXlKaTTnCy2jV2tmvuF07oTgLwmfCd8KFKS0v74VPhW7mP9bbWi4ITWXrByW1mzKzYietri%2F7zx4wZs2FCg5M6s2%2BZXWj2dIim%2FKbO2tG6aEYaoK2VX5aUlOzWu3fvTYYOHVrKVXYCb9oEQchgwGlwGxwH18F5cF9Qmk46wUk8Y%2BJD19wLXYPrkhic4DvhQ%2BFL4VPhW7mPpeBEwYksjTeL6ei35ubm%2FsQ20o59%2B%2Fat3X777XPHjh27gVm3hAYn%2B5n9JURDoRgQtSrleWhdNB3M3sGU39LS0tG2XjbeZpttivbYY49sBSeCICQtOIHb4Di4Ds6D%2B%2BBAOZvN1oy49mS%2Ba%2B5fXIMTF5wYuuE74UPhS%2BFT2Ws%2FCdHA5xlaLwpOZOkFJzfn5eUdV1JSskP%2F%2Fv2rRo8enTN%2B%2FPgeCQ1O%2BpgdYHZxiIZCLUq5MdFabOZNmwn0z8rLy3caOHBg3S677JLUmzZBEDIY8Uk4HAfXwXlwn07C0w5OVrvWvuDae4BrcaKCE3wmfCd8KHwpWys74FvhYyk4UXAiS%2B%2FNmm52k22gH5WWlm43bNiwCttgWRMmTOie4ODkQLPLzF4KUaGe1mB6wewtRro%2FZgLu0KFDq22d9ExoMCsIQgYjdjbhOLgOzoP74EA5m2lrx1LX3MtcgxMZnLjvlIUvhU%2BFb4WP5b6W1ouCE1mawckPysrKth0%2BfHiZba6NpkyZwibrmrTgJD8%2Fvy%2B96k1gJpkxHV5T4Vu2Xn7IBNytt966%2FLjjjktqMCsIQoYHJ7GzOWjQoHKf%2Bv1DOZstmxaP5qK9aDBanLTgBJ%2FJfaeN8KXwqfCttF4UnMha5mzeaBvoWPq4jxw5suS8887b8NNPP%2B2a4ODkECPIK%2Bzr14Jmm7TKemGtJHC9CIKQwYh5DY7bYostSuA8uA8OlLPZopknr6G9aHBSgxN8J9YL2qj1ouBEtm7O5hTbQMfU1NRsvcceexQ%2F%2FfTTPZIanKSsvyvNXg%2Fq0NXi9WLEu%2FWoUaOKJ06cmNT1IghChgcncBscB9fBeXAfHChns0Wdu1537f0f5zBJ6wUfCl8Kn0rrRcGJrGVv1ltsnJ49e37fNtJWe%2B%2B9d9HDDz%2Fc3TZYFwUnsgxfL4IgKDjpAsfBdXAe3OfO5lvyXxScaL0oOJG1nbN5g22goysqKrY88MADC2xzNTibWIKDk6sUnLTOeomDkwSuF0EQMhgxr8FxcB2cB%2FfBgXI2WxycXJXU4CReL%2FhQWi8KTmTr7mxebxvoqMrKyi3GjRvXyzZWt3ijJTw40fpr%2BXr5XlVV1eZjx47NT%2FB6EQQhw4MT%2F8j8inw4D%2B6DA%2BVstq5zmLT1gi%2BFT4VvpfWi4ETWMmfzOttA3zXi3eyggw7KI2dSwYnsS9bLm75exldXVw897LDDchO8XgRBUHDCx65wHZwH98GBzoXSDwUnX7he8KXwqfCtfL0oOFFwIkvT2bw2Nzf3yLKysk0POeSQnAQ7mVp%2FrbdejigvLx88fvz4bAUlgiAkPUiB6%2BA8uA8OVHCi4GRt6wVfCp8K30rrRcGJrGXO5jXubA6in3uCNUbrr5XWi9lhFRUVm4wbN24juS6CICQdcB2cB%2Fc5B8rZVHDypcCXwqfyYFbrRcGJrIXO5uEZ4Gxq%2FbXOepmMQBvpDjz22GM3lNsiCELSAdfBeR6cTJazqeCkmcHs4QpOFJzIdBKu4KTtNzfCfKiCE0EQMjA4OdQ5UPqh4KQ5wYlu2hScyBScKDgJujkRBEFoq%2BBENycKThScKDiRBaV1KTjRehEEQegIzqbSdBScaL0oOJG1h7OpgnhZC9aLunUJgpB4fEG3LjmbCk7WChXEKziRqZWwgpN2Xi%2F0%2Brf1MuToo4%2FumdLbXUGKIAiJCkrij3AdnOdzTtQaVsHJWteNWgkrOJFpCKOCk%2FU0IX78%2BPENE%2BJZKwpOBEFImpPp1g2u04R4BSfNDGY1hFHBiayVnM2jKisrtxg3blwviFjBiWwt6%2BUGWy9HV1RUbHnggQcW2DrpruBEEIQEByfd4To4D%2B6DA%2BVsKjhZS3DSDV8KnwrfSsGsghOZnM3mBidXmr1utlrrIK31Mt1siq2X79fU1Gy19957Fz399NM9OCmaMGFCV7kzgiAkBXAa3AbHwXVwHtwHBzoXyn9pvq12zb0yycGJglkFJ7LWC04%2B52w%2B%2FPDDDcFJAp1NBSetE5zcmJeXd2x1dfU2Y8aMKZkyZcoGrBUFJ4IgJC04weA4uA7Og%2FvgQAUnCk6%2BJJjtgg%2F1BcGsghMFJ7J0T8KNcI8pLy%2FfetSoUcUTJ05M6kl4w%2Fqz35X1d4XZa2artA5aFJz8oKysbNvhw4eX0f%2FfxLubghNBEJLmbMJtcBxcB%2BfBfQpOWmSrXHOvcA1OanDSFR8KXwqfCt8q6KZNwYms5SfhtpG2GTlyZMl55523YVKDk%2Fz8fIKTg3NzcyeZvWqvrdQ6SHu93GTP8IelpaXbbbLJJhW0TLS10t0%2BdpM7IwhCUgCnObdlwXVwHtwHB8rZTNtWorloLxqMFic1OMGHwpfCp9JNm4IT2bo7myO23nrrcoYHJfQknOCkj%2F2uBxlBXmb2X3ttmdZgWutlhtkt9ux%2BbDayvr6%2BetSoUT3Hjx%2FfQ8GJIAhJC07gNjgOroPz4D440LlQ2tF87ViG5qK9aDBanMTgBN8JHwpfCp9KwayCE1nLnc2bbQMdZxtp%2BwEDBlTuscce2Ql1Nll%2FEOIBZpeY%2FcdscYhyYT%2FRWmzWennb7DYTmON79uy5U51h2LBh%2BWPGjNnQBLy73BlBEJICOA1ug%2BPgOjgP7oMDnQulGU1rxieusYtdcy9xDU5ccBIHs%2FhQ%2BFL4VPhW%2BFgKZhWcyFp2Ev6TkpKSr%2FTr169mzz33zLVNtkFCg5M6s%2F3MLjJ7zmxBiHJhFZw0Pzi5w9bLSfn5%2BaOrq6s3HjhwYNGIESOyTMB7yJ0RBCEpgNPgNjgOroPz4D44UMFJWsHJKtfa51x793MtTlxwgu%2BED4UvhU%2BFbxV006bgRNbik%2FCf9ezZc%2BfevXv3SfBJeBycfMvsArOnzT40W%2BEnO%2Brc1fR6mWl2l62VX%2BXl5f1fbW3toE033bRs0KBBPRWcCIKQtOAEboPj4Do4D%2B6DA50L5b803aFrtWvsh665F7gGJy44Sb1pw5fCp8K3CrppU3Aia1FwcrttoBPz8%2FO%2FVl1dXT9ixIhCTosSGpz0Nvum2Xlm%2FzD7IER1J6sUnDRrvbxjdo%2BJ9G9tzezFBNyamprK%2Bvr6PBPxDeTOCIKQFMBpcBscB9fBeXAfHOhcKP%2Bl6eBklWvsB66557kG905icILvhA%2BFL4VPhW%2BFj6XgRMGJLP2T8Dstwv%2BFke6ulZWVA%2Fr3719skX92Ak%2FC4%2BBkX7OzzR4zm2W2JERdu9RWuOn18q7ZvUa4J9uaGVtcXLxVRUVFbV1dXS8T8Q3lzgiCkBTAaXAbHAfXwXlwHxzoXCj%2Fpen2wStdY2e55p7tGpy44ASfCd8JHwpfCp8K3wofK%2BimTcGJLP00HbOGNJ3y8vJBffr0aUjTSeBJOOuv1mxvszPNHvHff1GIrp0VnDS9XhCY%2B02gT7P1ciDdSGpra%2FtWVVUVmYhvJHdGEISkAE6D2%2BA477x0INwHBzoXyn9pOjhZ4Ro70zX3TNfg2qQFJ%2FhM%2BE74UPhS%2BFT4VkFpgApOZC1L0zH7jZHuN4yAhyY4TScOTvYyO93s4RC196NQb1nQzJPmrJf3zB5CYGy9fIeCv%2BLi4gFGxExPzpI7IwhCUgCnwW1wnBc3f8ed64ecC%2BW%2FNDHbxLV1gWvtw669eyU1OInTAPGl8KnwrYLSABWcyFqUpvM3s9%2F37NlzXyPhLSsrK2sSmqbD%2BqsxwtjT7FQ%2F%2FXrdbJ7ZUgUnzVov75tNNTvP1st4cmpNvAebcJfbusmWOyMIQlIAp8FtcBxcB%2BeFqGZiqnOh%2FJemg5OlrrFoLbfup6LBaHHSgpM4DRAfCl8Knwrfyn0spQF2guDk2ynBiR7a%2BrVZ7qSfYhtp%2F7KysuFmfaqrqwsTmKbTJSsri0Fau%2Bfl5f3Bvv6r2ctmc0LUg32F1kOTm5uixr%2Bb%2FYXJtzxLE%2B8tioqKqmzd5MidEQQhKYDT4DY4znWDad9%2FcQ78QM5mk7bCtXWOa%2B1f0V6eJVqctOAEnwnfCR8KXwqfCt8qNKYBak2sX4uDk29%2FUXDSLyU4eVMPa70bV9MPmp1upHGIkcYORsQbW%2BRfnNDgpMp%2Bz9282xS96l%2FwZ%2FCx2XKthyaDk9lmT5hdZs%2Fvp5wMlZeXb1NRUdHb1k3PpImNIAgZiy5wGtwGx8F1cB7c5xw4W8FJk7bctRWNfQHNRXvRYLQ4icEJvhM%2BFL4UPlWI0tge9GegNbF%2B7c2U4KRfWEtaF9d8at%2FaMWoIzrLNdKgR8KiioqKBFvWXJrCGIA5O6KDxK%2Ft9mdr6bIgK1eaHKDdW62Lt64UTsKfMrrZn%2BEt7lgdBwvn5%2BX2Li4tzFZwIgpAUvYDT4DZ3NA%2BC8%2BA%2B58A5Ck6atGWurWjss2iuz8jaNYnBCT4TvhM%2BFL4UPhW%2BVVCNUkdpa%2F16aCKt62CzSWavhMYuSXHLOVnbW%2Fy8efYUaT1kG%2Bkc20hHlJaW7pLgGoIu2dnZld57%2FCQjyOvttSfN3gpRTqyCk6aDk7ke0N1gz%2B%2F39hwPY9CUfb5xQUFBvoITQRCSohdwGtzmw%2FQOg%2FPgPufAuXI2mxWczHONfRLNRXvRYLQ4aXqRWqOEL4VPhW%2Flwck78nfXu7%2F7isceB39RcNLH7KAQXY2%2BFBpnTKzwhSxre1vuRqEag4EetA10rtn3bGPtSpeJ4mLadCcyOKnIycn5KtfzZpyAkTv8mp%2BCLZWYNBmcIDTPm91qz%2B90WzNH%2B03UJr0MCk4EQUiKXsBpcJtz3NFwHtznHDhPwUmTttS1FY39O5qL9qLBaHESgxN8J3wofCl8KnyrEKV1ve3PI%2Fa%2F5Iu2j60IjbN2XvLY4yCPRT4XnNSZUSR0kdlzZh%2BFqGCKPti0m5sva3MjB3ShP%2FvXbPPcS3RvdpRtqN3MNq%2Burk5igXMXI8VyrltNbH5kJHmZn2iwYD%2FwxStBWXtwwpp50exue47n2zP8Me0S7bkOyc%2FPL1BwIghCUvQCToPb4Di4Ds6D%2B5wDP1Jw0qQtcW1FYx9Cc9FeNBgtTppe4DPhO%2BFD4UvhU7lvda8HaB%2B57%2FWx%2FNB2sQUeWyz2Z%2F%2Bcxx77eyzyueCE3tb7hKhX%2BLQQFajQYo0rr%2Bkhuv6Tta0RwZMD%2BqZtmqeNMG5hsJRtrCOJ9quqqjZLcHBSZr%2FzV4wgjzGj6wot%2Fv4dok4aiyUmTQYnbHiuRmkJeYnZz5mabM91c3uehQpOBEFIil7AaXCbT4b%2FOZwXos5LrzgXKjhZuy12bUVj%2F4bmor1oMFqc1OAEHwpfCp8K3wofC1%2FL%2Fd2Z7oPJF217m%2B6xxbv%2B7Kd57LFPWGPOTmrO%2F4n2Zk22jw%2Bacd33qNnDZg%2FJ2tymmT3iz%2F4WI4sL7ePPbCPtX1xcvGNtbe2gurq68iQWxNuaK7XfdXv7%2BF2%2FbqVj1zOhcVK8BGXtwQknPrTjY9LvZHKwzQ62Pb2VPddiBSeCICRFL%2BA0uA2O83qTyc59bzgXKjhZu8WT4dHYOzx9%2FLuuwaUhgQXx%2BE74UPhS%2BFT4Vu5j3eI%2B1yPug8kXbXt72GMLYowHPeY48YtqntjsRfYNhtPsZ5%2BfQFRpn59tH5k4%2FSdZu9gZ%2Frx59r%2F2k4xvlZeX71RaWroZrRNtcxUkcQij%2FZ4l9vtuS3Gj5w%2FfZPYPj7AXSmyaNJ7RjBA1ErjZ19LhPFOerYITQRASqBeHw3VwnnPfDOdCacLaD7MWuraisTehud5YIJF6gc%2BE74QPhS%2BFT4Vv5T7Wr%2F0W5UzXTfmi7WNneozBsz%2BB2IMYhFjkc%2BuPa6%2BsrKwavuk3KN%2BwP7yPfdzbbC%2FP7ZS1re3t9g3bNGO4YuX9oDc3A6cYIuTF8N2TeBJmv%2FPW9B%2F3QYzXmD2qk7C0rum5IqUg9B5OhLxQdGQSr%2BkFQcjc4AROg9u88ceFcJ5z37tBacDp3LSjsdegua69Wyf0pr07vhM%2BlA%2Fv3NgP40klH7Om%2FyVrcyOm2NtjjG8Qc%2FB%2BEIN8UdlCd14kaqFbA3%2BooKCgFuNzWdvbGs%2B7CgImt9aQx8byG5PuCSSO1Ju7%2Ff0kg7ZyFMW%2FGqLiKQUnTRc4MnyMab9TeX5eKLpTEgscBUHI6OCEBio7eeMPtGKqc9%2FsoAYqzQlOFri2kmIzCc1Fe7%2Fw5DohawbfCR8KXwqfyuuWyvC15O%2BuX3%2BXmIN154FJ97W9ibKOZ4kWGyeKzXzaL2mFdG6gk8Z%2Fgwoc0%2BlbP93sKXueN1AoamIzOol96wVByNzgxGtkR8NxcF2Ihi9OD5qLlU4DFbT1XrTW02r2RYMzpIGKfEr5uYLQNFHQGtLIcVMjyT28pSFF8XeZ%2FSeoNWRzjJ7h5BHH7SHvsuf4O7Pd7PMqLTFBEBKEKrgNjnOdiNvOL3QulCY03Xoebb0LrfUW%2FnugwWo9LwiC4MHJGkO1jqJgyl6%2FJUR5xB8qOGnSVvqJIbnEFIU%2BbEZjgW%2BYVWuJCYKQIFQ7t53uXDfDuW%2BZc6E0Ye3ByYeurXSq%2BhOaq6G9giAIawQnngO6sZHjzt41hPaQ15s9azZXwUmTttpsVYgm3JJ3TecaBpONNestsREEISl64Zw21jnuSee85c6Bq6UHTQYnc11br0dr0Vy0Fw1Gi6UXgiAIRoTFxcW5%2Bfn5fY0kdzCCPNCI8hf2%2BlUhyiWeo%2BCkWYITBykf%2B6nYxWYHITiDBg3awD7vGpTbKQhC5wxIsK5wGZwGtznHPe%2Bct3oNLpR9uVbMcW29Cq1Fc9FeNBgtlkYIgiAYSkpKelZUVNTSytDby%2F3EXr7U7HE%2FFZPgNN%2BWhqjY8UrmAOTk5AwZMGBALqI%2BduzYbh6kCIIgdBZ0hbvgMLgMToPb4DjnuqXi%2FbSCk9murZeitWgu2osGo8VaboIgCAba%2BxUXF1cyIMlnvBxtL9O%2Fnqm%2F7ys4Sbs4%2FvUQXdkfYza8X79%2BpaNHj84ZNmxYDw9QBEEQOgXgLLgLDoPL4DS4LUSpv68HFcGnG5y879p6oc%2BKGYP2osE%2BS00QBEGorq7OKisrKy0qKhpoZDkqNzf3UHv5rBDNOnlPwUlaRt71dLNb7TkeTy5x7969%2BwwZMqRgxIgRWaNGjequFScIQmcBnAV3wWFwmdcmHg%2FHOdetEu%2BnFZy859p6FlqL5qK9aDBarBUnCIJgqKur24jprUaOfcyGMxDKXj7F7L4QTf1VcJKe%2BMw0u9sHWu5RU1Oz6aBBg8rj9C6tOEEQOgvidC44DC7ztre%2FhuOc66QP6enDu66tp6C1aC7aiwajxVpxgiAIKeLTu3fvitLS0qEmPrSJ%2FI3ZPWbvSHzSFp9ZZvfbczw1Ly%2FvABOebTlxlPgIgtBZD6%2FgMLgMToPb4DjnOulDevrwjmvrb9BaNBft1eGVIAhCCsgn5tp%2B8ODBhSZCG%2Fv035PsW3foZKzFOcXTzM7r2bPneBOfr5WXlw8uKSkpV06xIAidCXAW3AWHwWVwGtzmHKeaxJbdrN%2BBxqK1aC7aiwajxVpxgiAIISp4NNtg1KhRPevr66tNiEYacf44RIMYZ0h8WtSN5Qmzy%2Bw5%2FtTEfN%2B8vLxtCgoK4m4sahUpCEJnQBc4C%2B6Cw%2BAyOA1uc45TN8f09QFNZQDjj9FaNBftRYPVMEUQBMExYcKErlOmTOl27LHHbrjFFltwRLaNd2O5wezNoILHlgzZesbsOnuOv%2FOix500ZEsQhM4WnKQM6d0JLoPT4DbnOA3pTb9hCpp6AxqL1qK5aC8ajBZryQmCILgAffrpp12NGLsPHz48LycnZzMToSPt9clmr4Zo%2Bq%2BEpfnByTyz%2F5jdaYJ%2BjonQD%2B157m6fD87Pzy9QcCIIQmfRBjgL7oLD4DI4DW5zjpun4CQtW%2B6aOhmNRWvRXLQXDZY2CIIgfD446cKpDXmvRpoDzb5jr08ye8lscYoASYiaDk4WmL1m9pA9x0l0tqEri4n8lvZ1kQRIEITOog1wFtwFh3kHQnThIee4BdKEZmlC%2FHGxa%2BokNBatRXPRXjRY2iAIgvAFQkRPexOifnRksa8vMvuX2fzQmNolIWraFoYor%2FgpEx9yi880O8JshIl7iQRIEITOoglwFtzlHAaXUYv4lHPcQvF9s4OTVa6laOpFaCxa67OvpAmCIAhrEyOz3iZI37SP54ao6JGOLEudXFdLbJq0Jf7MXjR70MT8Uk%2BHGJWTk1MuIRIEobPoAZwFd3l66qVwmnPb%2B8514vy122rXzqX%2BzNDUc11je0sPBEEQmoca%2Bq%2BbneZC9Kaf%2BCwzWymxadJ4Th%2BF6GTxabMbTYh%2BYeL%2B9ezs7EqJkSAInSU4gbPgLjgMLnNOm%2BEct0x836St9Oc037WUA6vTfJ5YjZaYIAhCM8TIrMrEaIwZQ6KYdfKC2XtmHwcVxzfHVoToRPHDEBU%2F3mv2R3uWe2ZlZdUoOBEEobPoAZwFd8FhzmWvOrctca4T5zddBP%2Bxa%2BgLaCraisaitdIDQRCE5p2UVeTk5OxiJHpCz549rw3RNfSbLkhLJTbNahe50sUbQXo8RNf4Y%2FPz8%2Ft6jrEgCEKHhtcg9oW7QpTm%2B7hz2hLnOLWZb9qWunaioU%2BgqWgrGovWKjgRBEFoRnDiOcY75uXl%2FcBI9BJ77YHQmGO8WGLTrALIT0JjAeTzZpfSncWe66ChQ4fm2NcEKGodKQhCh9MA56bucBWc5d0bL3UuixukxDwnzl%2B7LQ6NNYgPoKloKxqrGkRBEIRmCpORZqkR6Hb0YbfPz7bXbgtRnvHbZoskNs3uzhIXx79sdo09y6OZslxWVlZqljNo0KAN7HVNBBYEoSOhG9wER8FVPhn%2BaDjMuWzJl3Cd7IttkWsnGnobmoq2orForYITQRCEZgQnRprFJkhbmx1s9gcjUETpUbM3QpQ7K0FKr%2F6E63xaCv8sJyfnq6Wlpf2qqqqKEP9hw4b10JITBKGjAE6Cm%2BAouArOgrvgMOcy1Zmkd1D1sWvno2gpmuraujVaq%2BBEEAShGcGJkWYhk2uNSPc18jzRbKK9fp%2Bfms1XcJJ2%2FclMs3vsuf6OZ1pcXLxlRUVFbV1dXa%2F6%2BvoNteQEQegogJPgJjgKroKz4C44zLlMdSbpBSfzXTvvQ0vRVJ4pGovWKjgRBEFoRnDSy0CesRHnbmbHMHgrRKld%2Fzabp%2BAkbXGigPRhv84%2FrLy8fCcT%2Fk1KS0vLqqurs7TkBEHoKICT4CY4Cq6Cszy992HnMvF%2Fevw%2Fz7XzNrQUTUVb0Vi0VsGJIAhCM4KTwsJC4868egZvUQhJ20N7na5dz5jNlTilbbND1PHsMnueP7Hnuo%2BJ%2FjacTJaUlPTUkhMEoaMAToKb4Ci4Cs6Cu5zDZovP0w5O5rp2Xuvt%2Bb%2FjQy3r0VoFJ4IgCM0ITpohTgpO0jPaSP7L7EZ7liebHeGtmvsXFBTka8kJgtBRACfBTc5RR8BZIRq%2B%2BC%2FnMnF6esFJU4dTCk4EQRCaQmVlZbaRZnlZWdmmpaWlo41Mv2t2nn1rWohaIio4ST%2Fn%2BL9m95o4XeTzY%2FZRzrEgCB3tcCql5pCDqRPgrBANX%2FxvUM1hS%2FgfzZyGhqKlaCraisaitVpygiAIzUBdXd1GdGqpra3ta0Q6wsTqQBOoU%2B1b95u9K3FKW5wWmk3n9Mye5RR7lqeZHWqfDzexKlFwIghCRwlO4CS4CY6Cq%2BCsEJ38T3cuE%2F%2Bnx%2F9o5v1oKFqKpqKtaCxaqyUnCILQDNDjvri4OLdPnz5l5eXlg41UdzfB%2BrV96%2B4QdWuROKVnzAX4IEQnjw%2FZ87zMROpH5B0zhOvTTz9VcCIIwnoHXORDeKmJ%2BBFcBWc5d30QPj%2FjRNa84ATNvBsNRUvRVLQVjfVZV4IgCEIz0I12kpAnebFMsvW6E%2FrczzBbLdFJy5abLfATNCYsM4hrgon%2FmKysrCoFJ4IgdJTgBE6Cm%2BCoEHVpfN65a4FzmTi9%2BbbaNfMWrzfZ0Vs053obeQ3hFQRBaA4mTJjQFdJkGNfgwYML8%2FPzhxmpHmWvXWf2utlKiU7as04Q9Y9dqKbRUpJe9%2FZs%2B4waNaq7Vp0gCOsbcBGc5DOuaCE%2FzTnrY%2BcwzThJz1a6Zl6HhqKlaKoP3%2B3mWisIgiA05%2FQs%2Fnzo0KE59GM3oRpnX04ye9FskZMup0JK8Wre6RnGZGW63TxrdnFeXt637dkOHjRoEB1bevgpmm5RBEFoT3Rx7ukBF8FJcBMc5Vz1oXNXzGPi9KZTuVa7Ri5yzZyEhqKlaOoXaa0gCILQTJAT6zNP9rcvLzR7ymyO2eIUwZIgNS1WcZCCWJG%2FfY090%2B%2Fbs922rq6uXNf8giD8P3vnAaZXVX39k4IyMzGTMjWZFJJAYugiJSAQ0E8MCIIYBSs2%2FCuKBRu2IFVAehVQQHrviFKkKCBIVVHpPYGEFNJpfvs3d93MmwiSmffOZGbetZ7nOJN3gjD37rP32fvsvdYqwrI2XnwRPgnfhI%2BSr1pQ4uddjFq5YtQripEzFTNPIIYSSz1nYhiGUSa45h80aNDod73rXbvEHw9P2XDkEylTvV2U3OLV3iSF1ojHY10Wz%2FSHEay2i0PBeAYkxXm%2Fmq3OMIwuxGr4Hg1pj8cn4ZvwUfJVS52UtLuVa5Fi5BOKmYcTQ4mlbuM1DMMoH32rqqpaImBtL6X4K2I9mDwg2dHkhJ5t2FvQPDmEalpjY%2BNmDQ0NppY0DKPLkVPH44PwRfgkfFPKtE2ekc9yctIxAhRi5RXETmIosZSYaqszDMMoD32qq6uba2pq3h8B63uxzorP%2FhTrkZRdWS92MOqQKNdtsU5Ua9f2cTBYv66ublgcDmpscoZhdBXwOfgefBC%2BSC1dJ8pHWXS3%2FWuxYiMx8k%2FETGInMZRYmjxXaBiGUX5yEsGqIZzr%2B2AbieB1fHyP3sn9qgwtcDBq95oV655Y54pSmMH4rWtra8fS922TMwyjq4DPwffgg%2BSLoBA%2BVz5qlv11u9cCxcb7iZXETGKnYmiDkxPDMIwCkpNwqnXhYDeO9Zn4%2FqBwsAQubk%2FoR37ZlbV2r7mxHop1rZK9fWJ9pKamZt04JAy2yRmG0VXA5%2BB78EH4InwSvkk%2Baq79dbtvxl9WbPwTsZKYSewkhhJLnZwYhmEUkJyEUx0SwWs9Bvq4no4%2Fc%2BV%2FXcqYXOY4OWn3mp%2ByQcnb41leEM%2F0F9BMxvebRjCrd%2FAyDKOr%2FDs%2BB9%2BDD8IX4ZPwTfJR8%2B2v252czFFsvI5YqXboXYihxFL7d8MwjAKC1%2BDBg2vDuY6vra39fxHI9tSw5EUpa%2B16yclJuxdMLtNTxn9%2FYzzP0yJofSue7TbV1dXD4rN%2B5r83DKMzIR%2FTD5%2BD78EH4YvwSfJN0%2BWr7LPbl5y8pNh4kUhP9iR2EkOJpU5ODMMwCkhOoJlsbm4eJf77qeFkf5AyQca%2FpGzwz0Gp%2FWwuVNeeURCDsnO%2FeK4fhmrSPPiGYXQF8DWiiv8wPki%2B6H75pjnJbIwdWTMVGxFe%2FAExk9hJDBVdvJMTwzCMcjFs2LDqcKpNjY2N6zQ0NLTensTHx8W6JWVsLg5IHePBJ%2Fg%2FFevWWEfHc%2F0E1bWNNtqouuTmxIHMMIxCC078Dz4GX4PPwffgg%2BSLnpJvso5Vx9YMxcbjiJXETGInMZRYavMzDMMoAKgHjxw5cvBo5IObmjbRIfrg%2BNEfUsZK4raujumdUJVk4PSBWL%2BJZ%2Fql6urqDVtaWobsueeeq02bNg0%2BfHPiG4ZRJPriW%2FAx%2BBp8Dr4HHyRfNFe%2ByfomHfPtxMQ%2FECOJlcRMYicxlFhq8zMMwygAG2200WoTJ05sVRAeNmzYhIEDB04Jx%2FujlAkyPqnqmoNYx1u8HktZf%2FJ3oPPk%2Bj%2BC2EACmdWEDcMoEvgUfAs%2BBl%2BDz8H3pGyO8LHkVq5yEpNXFROvIEYSK4mZxE5iKLHUFmgYhlFQMENFeMyYMbUtLS3Dw%2BluEU537%2FjR%2BbEeTpno1Otyzk5S2rd4bs%2FG%2Bl080%2F3joPDR%2Bvr6DYcPH97C83alzTCMIoFPwbfgY%2FA1%2BBx8Dz5Ivuh1%2B%2BV2JyVv6LktVkw8nxhJrCRm8ryJoS42GYZhFIe%2BeYISa1BNTc364XS%2FmLI2gAdjzVPF6HUnJx1WjM97lP8vgtp2jY2N69bV1TW7R9kwjCKBT8G34GPwNfictPwMoX14%2B33464qB8xQTadP9IrGSmFmSmLhN1zAMoyD0kVPtR9UtAtqaEdB2iz8j1nWnAtqikgTFAat9gQ12l7%2FGOmdFxfghQ4YMTB6KNwyjIF%2BOT3kTRfhz5INmOjnp0O13TnIyQzERVfjdiJW6%2Fe6nGGpfbhiG0RnBraqqaoTUhH8Rf74hZX3Ks1N2pW12l46JdqHGTGvXCfFcv2vRLsMwOsN%2FryCq%2B118Tspauh5KFtXtKPviYsVAYuENEtb9CLHS%2FtswDKNr0FxbW%2FvBAQMG%2FDgc8MXx53tSxosPy8sSB6sOKcZD33lXrEvjmf6SlgDpytTb3AzDKApShN8MH4OvwefI9zyVrAjfkbVEsY8YeA8xkdhIjCRW2uIMwzC6ADU1NY3hfLfSwN%2BpKbs9QVE4b%2B9ywGrfouo2K9ajsf4c6%2Bx4rt%2BP5%2Fz%2B6urqZqvFG4ZRBPAl%2BBR8Cz4GXyOf86h80GL743avvJ2LGMityanERmIksdJWZxiG0fnoo8rbpuGE9%2BD6Or6%2FMD6%2FI9YTKau8uS2gfeuVWAt1OIDp5fexDolnuzPqzaafNAyjCOBLpAi%2FMz5GvuZh%2BZ6F8kX2ye1ry52v2HcHsVAtXXsQI3Xz7eKSYRhGZycn6lleHwpKqm%2Fx55Pi8%2Bti%2FTNl19tOTsobqPxLrJM0rLpOrnkSn%2FV3oDMMo70%2BG9%2BRa5vgU%2FAt%2BBj5GhOalJeczFXsu45YSEwkNhIjPTNoGIbRRYFu8ODBteGA11JrALMRB8bn3J7cF%2BslB6wO8%2BRzOHg5Ze0BsOfQNve%2BYcOGjaitrR3c0tJSpQTFMAxjZdEf34EPwZfgU%2FAt8jH%2FkM95NVmnqqPrJcW%2BC4mFohAmNq5FrHRyYhiG0QWor68fQJCrq6t7L%2B0B4ZC%2FHR8ze3J7rBcdrDqUnOQ3KAxXPh7ryljTeL7xvDdobm4eyeHCooyGYbQH%2BAx8Bz4EX6KWrmnyMY%2FL57y%2Bgi%2FyWvn1omIfsybf5vkSG4mRxEpboGEYRheAKlxTU1N9OODx4Xy3Cmf8uVhHxI9ujPW8A1xZSQoVzOdi3RTrmAEDBuwZB4v%2FZ1FGwzA6glLRRXwJPgXfIh%2FzXGq7NbEP7pjPJubdSAwkFhITiY3ESN12G4ZhGJ2NiRMnvmPMmDG14XiHNzQ0oBb%2FEQl5XZ0yOkq3CJQvynh3rLPiuf5k4MCBn4pnvGUcLMZE0HuXLdAwjJUFPgPfgQ%2FBl%2BBT8C3yMRZdLL8Vl5h3NTGQWEhMJDYSI4mVtkDDMIyuQWsPc6whowPhlCeHU%2F5OyuZOYH5huPJ1JygdXqUDlidKlHFnBlkHBWx%2BhmGsLPAZ%2BA58iEQXT0zLE5jY53YsMXldsY6YB0vXd4iFxERio2cEDcMwuhZ9oaSkXWD48OFDa2tr3xOO%2Bcvx%2BemxHlTAe6UkQXFAa99akDJBr7vjuV4W68hclDG%2BDrX5GYaxssBnlIgu4ksuS9mtyTPyNfa57U9OXleMm6uYdzoxkFhITCQ2igK%2Bry3QMAyjawD7SN%2FJkye33qCEUx4fwW%2F3%2BOz4lOmdTE9tnPmvOZh1WJTxsVi3Dxgw4ByJMn6gurp6WDL7i2EYK%2Bmr8Rn4DlHcwtB1u3yLRRc7tl5LbdpU0xXzjicGEguJicRGJSb21YZhGF2NqVOn9hs8ePDIcMo7JYt6FSnKSEXzhVj%2FinUdwl5w50cAHEfwU1Wun4OfYRhvUjzqh4%2FAV%2BAzpEn1i5S1c%2F1LvmWB%2FXOhork7EQuJiTZBwzCMVYzq6upmWGDCOf8wAuH5KRP2QjF3dspoKh3Q2l%2BZ47mhPwATzJ2xTo7n%2BwXaBmCBmThx4gDRCjsQGoZRin74BnwEvkJtt1%2FAh8iXPC%2FfsiT5Zrsja4liGzHuL8Q8Yh8xkFho8zMMw%2BgGGDBgQAPCXvH1q%2BGoj4%2Fvr4mP708ZTaV7mjuuGE8QnJcyoTQC4D60Z9TX16%2FZ2NjYwOFDNyiGYRitwCfgG%2FAR%2BAq1dO2DD5EvmSffYkX4js8EEtvuJ9YR84h9ioENtkDDMIxVjz4MXNbW1m5Ez63oFM%2BIz%2F8Y6xEFQg%2FFd2zgkqrm0lhPxro2nutB8Xx3i0PHpiNHjhzD4OXo0aNXtwkahpEDn4BvwEfgK%2FAZ%2BA58iHzJUvkWE5Z0zDfPU2z7I7GOmEfsIwaKsMSttoZhGKs6ORFV5bvDQU%2BJr3uFg%2F5lfA4jDCwmsx3Qyg6G9If%2FKZ7ryfGM946vO9bV1b1nyJAhLXH4qLEJGoaRA5%2BAb8BH4CvkM2jp%2BpN8iROS8tZsxTaYFH9JzFPse7eo3p2cGIZhrGrU19cPCJ88Khw0VbqPwQqTMlphZk9mOZgVEgwfiHVJPNtDUHhWq8ZacQgZaAs0DCMHPgHfgI%2FAV%2BAz8B3yIS4Wlb9mKbadLga0jxH7iIHEQlugYRhGNwCMMAxe1tXVrRVr63DYe8THR6astWuGg1nZi%2BFVqD9vjWf72wiEP1cbwXvi6xBboGEYOfAJ8g274yvwGfgO%2BZCX7U%2FLXjMU29CM2YOYR%2BwjBkp40TAMw1jVmDhx4jsYwBw9enT456a1w2F%2FeMCAAT%2BLHzEYj9CX2wjKW6gQw6f%2F91jXx%2FM9hVaNeMZb19TUNCW3ERiGkaEPPgHfoHauU%2FAZ8h3T5UvsU8trsyWmXUOMI9YR84h9xEBioU3QMAyje6DflClT3rnFFlu8a9iwYSNgLYnA%2BM34%2FIKU8cAj9JUzwzhR6Rh1JUrET8e6L9Zl8Xz3o5%2B8trZ2jIbiLfplGBWakGjv98cX4BM0a7Jfymb%2F7pPvmJtM7V4OQcmrimXEtAuIccQ6Yh6xjxiYTO1uGIbRbdAX4Smcc0tLy5CampoNxKt%2Faqx7U9ajC%2F3i0mTqyo4sgiIVz5dSxrZzS6xjIzh%2BJp71%2BjzzCJDVohXua3M0jMryv%2Bx9fID87%2Fr4BnyEfMWT8h2L5EvsU9tP7b5UMWyWYtqpxDhiHc%2Bc2CfxRftfwzCMboI%2B06ZN6zt58uT%2BBEiGMQcMGPDx%2BPyIWDfFejy1KcY7OHYsOOaqxBwyGGw9K2%2FtampqGp0nKCm7QTEMo3LQP09M8AV5Sxc%2BQr7iJfmOV1wc6nBxKFeEf1wx7QhiHLGOZ0%2FsIwYm31wbhmF0rwQlqYI3ePDgkREct9fcySWqND0Va05yW0ERbQUEyCvV2rULlKHNzc0jR48ePUiq8YZhVAjY8%2Bx9fIDog3dRS9eV8hVuqy2%2FrXaOYhix7BJiGzGOWFdyY%2B3ExDAMo7smKW8zkLnQwa7sRAW2GNo1jovn%2FH%2FxnLdrbGxcNw4mzbo9MQyjQsCeZ%2B%2FjA%2FAF%2BAR8g3zEDCckZa%2BFyYQkhmEYPRtSjH9vOPBPxzownPi5KRMAo4pnKstidE8YcmUo84B43p%2BPZ7xNfD8uDinvsgUaRuWAPc%2FexwfgC%2FAJKSMjuS9Z16QoKndi15%2BIZcQ0YhsxTorwhmEYRneHFOMncu0d6xvhwNE8uVKVpzkOdoUEy0dj3RzP9gxaDGJ9guHMCJiDbYGGUTlgz7P38QGitz0D3yAf4WJQ%2BWuOYteVxDJimtqWJ0oR3jAMw%2BjuoJIXPnt0OPLNCZjx9YfxMQETVd0Xk9sMimoz%2BFusP8Tz%2FRUB020GhlFxKG2jpRD0K3yCfIPbaItpo31RsesMYpli2ubEON9UG4Zh9BCgkltfX48g48QInO8PR%2F7F%2BPiolLGcPBfrNScohQxoluqeoAS9ExoHPH8NafZzomIYvS8hYW%2Bzx9nr0jXZCR%2BQltc1MQFJ%2BYnJa4pZxK6jiGXENGIbMc6K8IZhGD0EqORy3T1kyJCWhoaG9cOhfyQ%2BnhbrqlhPpIwz3slJcbont8Y6Lp7z56qrqzccNmxYXQTOXK3YomCG0bvQj73NHmevs%2BfZ%2Bykbgr81WdekyORkqWIWsWsasYyYRmwjxlkR3jAMo%2BegPxUlnLcU47eUYvx5sf6ZMjGr10sCgANhebonD8Y6O57xtwYMGLBtBM%2BxTU1N9Y2NjTW6QTEMo5eAPc3eZo%2Bz19nz7H18gHyBdU3KT0pyP7tAMes8KcJvSUwjtunWxLpShmEYPQStbQdUlcaMGVNbU1Ozbjj1PeIzaIXviTUzZe0Grzl4FqZ7cjUsPQiDxaFlk1GjRq2BKNvo0aNXtzkaRu8Be5q9zR5nr7PnxdB1dbKuSVHFn9cUo2YqZp1CDCOWEdNKbqXdNmsYhtHTgBOnJzoC6Efjj4fHujHWYymjuMyDqANieYnKCymjaj5ZQ7Efrq%2Bv33Do0KHDqbDaCg2j94A9zd5mj7PX2fPsffmAF5yQFNI2u1gx6jHFrMOJYcQyt3IZhmH0cEybNq1vVVXV8HDqH4xAum98dH7KmE%2BekPP3wGYxVJe0c1wWz%2FgwRNj0vMcPGTJkoK3QMHoP2NPsbfY4e509n7JB%2BAeTqdqLIhyZrRhFrDqf2MXzJpYR02yFhmEYPRt9IoA2hHPfIr7uGevo%2BOyKlF2VP5Oynl4HxPIWz%2FDJWLcPHDjwvHjWB8fXz0gIc4hN0DB6D9jT2tuf0V5nlu92%2BQD702L86TOKUVcQs4hdimENya1chmEYPT85IZhKJGxXeOJLuPj%2FFWtuchtCuYsWBHqjH451azzfM2Ptw6BsdXV1s4OpYfQef8qeZm%2Bzx9nrKWPoelg%2BYLH9YdltsnMVm1o1pKRtsisxTMUe%2B1PDMIyeHkxpQwisGQ5%2BG4YKxcdPtS8fjndyUt6ClWd%2BrBmxHor1u3jOhxBQee7Dhg2r9gCnYfRcH5pEMMJeli%2Bl0HMIe117foZ8wCv2h2UnJ%2FkQ%2FHnSj9qD2MVzV5usfahhGEZPBwG1rq6uuaGhYb1w8B8KR%2F%2FV%2BPiElFX8Zjg5KXvlzDIvp0ww7M5YVPy%2BFM97E5794MGDa8XcZd0Tw%2BhZ6MfeZQ%2Bzl9nT7G32uPb6c9r7OQOifWJ5yckMxaYTiFXELGIXz55YZnM0DMPoBRg3btw7oV9EuAqGGTF37R%2Fr2pT19jqglk99%2BaoOJ%2FNSVkm9kHaECKzbNzU1rQ27TwkFpmEYPQQ5JTt7mL3MnmZvs8e11%2Bdp7%2Bf0wfaJ5RV6nlFs2p9YRcwidvEOiGW2SMMwjF6AyZMn98epxxrY3Nw8Mhz%2BVhFgv63g%2Bkhyn3RRuicEVhSNn0pZv%2FQvY30%2BnvfkeO7vbmhoaJRwmGEYPQTsWfYue5i9zJ5mb6dsbu8p7flcM8q30OXP7xGTLiRGEauIWcQuYhixzBZpGIbRO9D3P%2F%2F5T59p06b1Hzly5OCampr1CbDx%2Bamx7o01Ky0vHOYgWX7PNBSYDMbvGwF2N5hmGhsb16irq3tXcs%2B0YfQU9GHPsnfFFrWbKNnP1B73zF5xN8%2BLFYuISacSo4hVxCxiFzGMWGaTNAzD6CUBlv%2FBuU%2BaNKlKA50fS5ko4w2xHlWQXZAsyljEos0Dtpnr4lmfGEH2e7F2Rt24trZ2sM3RMHoO2LPsXfYwe5k9zd7WHp9nf1eI6OICxaBHFZMQXfwYsYqYpcQkubBjGIbRC7HRRhutVlVVNSKc%2FnaqAMLadYeCQn6D4oBZ3lqYsiHZ%2B2JdHUH2OIm1UXmttxUaRs8Be1Z79%2F%2FYy%2Bxp7e3ntNft88pv5ZqlGEQsQitqX2IUsYqYZSs0DKO3o89brEpBv5qamqZw%2Fu8rEWW8PNbdsZ5OFhErYtGDDlc%2Fg520KFwaz%2FlnDNIOHjx4pIOtYfScYg57lr3LHmYva08%2Foz2%2B1P6uENHFpxWDLi8RXXwfsSqZ4dAwjN6YjOQD4Y2NjTXwpA8KcFXP4ns%2BE0UhTEq9vac1F2Vc36KMndqmsETPkoFZaDGPjef%2B6Xjm62BzohXun9xDbRjdDezJ%2FuxR9ip7lr3LHtZefkp7O2foss%2FrHNHF9S26aBhGrwS9qiQmBBmoIMPZjQvHN5GAo%2FXuSFLGVldXD4PHPv6RXl%2FVZsCT3zl%2B963jeXw2vk6Lj89NmfDVLAfMQgY8c%2B2Tl2I9EOvseNbfhO2noaFhTCTDdSTLSlAMw%2Bg%2B6M%2FeZI%2ByV9mz7F32sPbyS6lN08QEIuWvWYo95xKLFJO2JkaJQMQwDKN3AZYPUeiOigRkQynNwlO%2FU6wdJUq4FQOPJCjxj1QC1WsrNSac%2FfF7fyCew5dTVhW8OVmUsUhqYaqq9KQ%2FFuvqsLUDxfYzqb6%2BfhyHn%2Fh8de9Sw%2BhWWJ29yR5lr7Jn2bspmzV5THs6Zza0ryxGdJHYcyyxiJhEbCJGVUg8NgyjlyOfH%2BlHrzAsH9AQwpNeW1v73nB8H461RwSbveBQj%2FUtKdB%2BMr5uGz9bixav1MuvkREVoyI1atSo5sbGRlhodoqP6ae%2BKtaTya0KRSYor8R6PtZtsU6JZ%2F2dWLugMo1dxgFoQHLbgmF0mxjCnmRvSgl%2BF%2FYse1d7%2BHntaScmxbXAPqnY8zNiETGJ2ESMqjDR2j7JM7GG0Ss2cl%2FmSXBgzIyQWGieolGMVOM0W7FVrKnx52%2FE%2BjkCWvHnYxm8i%2B9%2FAT1kfP%2FxSGDeE98PrQBn0C8XZYznNoLBQ55NytoW%2Fp4yesylChwOwOUnKbNjPRjrMtneXhqwnShqYc%2BdGEb3QF%2F2JHtTe3QvCS5epj082z6xEJ%2F4qmLMPMUc2l6%2FQSwiJuWii6n3D8Nz1liNNkLOHtXV1c1xdhnO17C9Bs4znGv4eYkIZV8nLIbRjTFt2rS%2B%2BSG7vr6%2BiR5VCQxuAQ2hBr4%2Fzw1J%2FHWu5U9KGXUuh8SrY10ZPztP7CBfjT9vSWJTARu%2F79SpU%2FtNmTLlnRJlXC%2Bew2fi8%2BNj%2FSllzClzYi1KvkUpYs1XdfD2eM7nh50dwg1efL8pAQg79m42jO4RU3Qo3JQ9yl5lz7J3tYfn258VcluySDHmacWc44lBxCJiErGJGNXbCzfYGzd1MMJRHKWDg7NLPIf3h%2B1tLlKANZmXJWluaWmp0nMxDKO7Ys8991xt0003HThixIhh9KgyRBfro%2FStxvpB%2FJVDU3Ydf0Gs36XsWv6vKRtq%2FLsqYbfH370o%2FrmfhhOYUlVV1VIBmx%2B1%2BNZbJ26cuGGKZ%2FCR%2BHz%2FlNEK31%2BSoJgqs%2FzF8GzO4%2F9nqoTYZwSbD5rH3zC6D3IdKPamYsjZ2rO5DtQS%2B7NCqNbzxOR%2BxZz9iUHEImISsUlFm15dKOT3bGxsJBneWPOI%2B8TXn0i498ucZ0hYIknZgLnZddddtzVxKxGlNAxjVR%2Bo80UA4ZpzwoQJQ%2BkNbmhoWD%2BCyf%2BD5YOAEuvI%2BHvnpIwel2Tk4ZTx0jN4hwotbCuzFWyeiHVLrKNo7cI5iua1Ep5nXwXj4arYfCue3anx%2BfWx%2FhZrerLIWJGVQmyOgdobYx0Rz%2FwT8bwnTJw4cYAVkA1jlfrCVmZH9iJ7kr3JHtVefUx71zfJxYnUTleMuZ6Yo%2FnPbYlFKtb05sRkmb3F71oNIxzzsPH7%2Fzi%2Bnh7r4vj%2B7FhHxfffV%2FfHDk1NTRvH3x07bty4euxUbW%2F9k2dTDKNLsdw8iehv6QVu0DzJmlQTmCeh4iJBwWnx%2FcmxLlO162ElIwQVaB%2FzIeV8mJHP4FjnJuU38c99CUavlpaWISUbv9frnsTvXUflBi5%2FMUqR2N2moPyyg2kh1MKvq2L4kqqFZ8Rz%2FhpsQFzZE2xSprPjK3vD6Fqw597BHmQviqHra%2BxR7dWXtHfzfWyfVt56WbHlNmINMUexZ2NiUQUcsjlTrEaLFrcmmnUlATkhvt4Uz%2BSe%2BPrnWJfHZyfF2j%2FW1yme0u4FuY%2FmFceosFifz6ZwVuLsUpLgGYZRJLjS5QZjzJgxtVAKshHpRyVwcOWueRL69r8Za7%2BUUeFyqP59rLtS2zX827UlLdHfvSj%2B%2F75L9YZKBgmKhBl7vQ4F%2Bi5UCzWnw%2BzN4altAHSOg2khA6D510Wytytj7ce1PcGJIVC0eCqMncYwVjnYc%2Bw99qD6%2Fj%2FK3tQefVR79o0V9rJXx9ec1EYQcrgYM7cjBklrrLdjNeZMmpqa6uvq6sarhfB7mm2iUPq07O7uWNfF4nPmZQ%2FmJiWe11fi736KoqykACZpNmVc%2FP8NY2aHs4tnUwyjE0DmT2IyfPjwltjEExlWF63jl9ig8VcOiXVyygbcr0kZTzotXP%2FU5iYxWbgSla5X9fd%2Fp1uDj3N9Gmt0yQ1KrwYtckOGDGkJx0YFZycRCDCrwxDoTAfTQhc0pM%2BlrJWQqtje6O1wKGLeSQmxYRhdBPYce08VbLSv9tZh8Bbt1VfstwpdMxVbTlEr8U7EHmKQhGl7NSi66rZjTTFlfhrW0JTNxT6m5G2WziWcZxCovE2F10tjnRnruFgHUlCN9UXNpiDwu378%2F4%2Bm5X3y5MnW0DKMMrEcpzebl8SABKG%2Bvn6DcFjvV6WAjXhErN%2FG37s21p0lycgMbWjatGBUWZza%2BOjfruWG%2FtdbY52Q07zSMsYVfyU4SxIwqi04tXjmm2gW4mBVbZjVec0BtbD1moIz7SKXxHM%2BTJVDxEDfTQU3uXfYMLos9rDn2Hvag9wcH8be1B6daf9XuP8jplxHjCHWEHOIPcSgSigG5uxc6OiIwGef%2BJhZzz8pGV6i88sCnWc417ygnzEjC5kPbeswjp4J1bVmUz4HqQ%2FPM%2F4da9IyVnKDYt0Uw1jJZKTfm8yT1MPvnVMCa55kZ25LYLBQT%2BalqiI8pKRiQWqbJ8lXe1tuZqk6cZ50UPaQkvw4iTL2anBLxWAe1ZZICseJxvC7KWM5%2B5eSvaUlz9lBtrwWL3quuba%2FlcFH9Vx%2FFvpSUVn3dxAxjC4piPVnz7H3tAe5PT9bxapHtVft88r3ea8phsxXTLmAGEOsIeYQe4hBlcBc%2BCZt1CTDnGto6XppBXt7Y4X1qmzyOSUpt8Q%2Ff4lmU2gT%2FhoJnwiCmOEZTyIk3ZR6zlmlsykluimGYQASkxJ9EuZJ1lXv5PvVvkUV4JsMucc6Jv6Rs1J27ck8ycOqJBTFJEV14t8pYw5BxfuHzLQw4yKRvN6O1kRxvfXWq1ljjTWY73kvV8Upa5u7Q45wrqo5riKWv3iOM5Rg%2FzGeNWQM36X3eNCgQaO4OWTmSgxeTlAMo%2BDEhL2VzzWy59T3z838b9iT2psztFfts8q%2FLVmsGPKcYgrENV8k1hBziD2at%2Bv1cxIMr9NCGF93VzGUThBaCB9LK6ej84aKstN1bvlLyroczlUB9yAJSzObsruYwLZV8Wtdir91dXXNtM2ToJiW2DAEgsL48ePfRdsU%2BiT0XTLchbMSvzctRSembMD9qpTNk9ytgPFUyq7a56fiaB3Z6M%2FGuhdhRpIh2L9IlsQe0uuDNVe%2FBAdusai2kJzF57yHq1NG%2Bfisgot1T4qZO3lZh59%2FKrAcyrwT7SUk7Wj4VALPv2GsCn%2FH3mKPsdfYc%2By9lOliXac9OUN71PMmxeiazFUM%2BZtiysEitRlPzCH2lLQf9Wpwg8EMLQxcsIumTPLg77K5Re2MIS%2FqTITNMnN7q4q4F8U6PWVEQQfQOgYjmJhNt2psbFyHed481tglGBUZCEoX14hsCJhRGN6CbSI26Se1eeidzG9I7tCGfUIVAhKSOWn5eZKi2ozo8eQ69fFYd6Iaz%2B0JV6PV1dXDKsBh5u%2BnNUGBqlksIPuoknhTSSVxUXKwLYJa%2BBU9S%2ByalsLfRND4v7C9zRAVraRKomF0MZbdFLPX2HPsPfag9mJOP78yM4teb78Wpbab4pt0U7wPMYZYU%2BLnKuGmuA%2F0v5pv%2BlnK2rnuU%2BI2byWLf6Vtcot0JspnU3jOzODSXUKbGHMszKacEevQWN9hAJ%2Bbwvr6%2Bg0RdmS%2Bl5a6N3kPLowZve6g2%2Br84fFecZ5k0KBBo%2BP70tsS5kl%2BHBvmeHontZlwYnkr0ZLU8XmS9lSyFygo%2FVuVDCrZuzJ3wu9RAcJQy96fmEQ2kajlwSRrKRvAezxZ96QzWry4zr9cysAfpqo1atSo5ryiaJdiGMUhvyFmj7HX1Pbyk5QplT%2BW3MrVGbomxI4%2Fq%2FB3sOZ7GAivr5DiXz%2FOEJwlYOnSTR1i0TerADtHdtfRbpDSMxLnGVreZyvp%2BUesW%2BLfe2H8e4%2BL9VNavsTwtTXabtxgcTajGEu3CGc29ohnU4xeBQwZRgoJDK0RG2Ad%2Bh3peyQhie8%2FE%2BsbqhwcHYueS%2BiA6Z18JGXzJPmge1f1xObDetP130FP7BfYuLFB62DtqpRKdsnAHtWdvbjRUuD%2BW7LuSWfcomBz9Bwfp9uT7Tg0MY8Vn1XZoxhGoahib7HHNJTMrclx2oPTk29LOkPXhNhxObFEjJgfqiBdk34c8HNtkzgTbURRNj4%2FLS1%2FU%2Fdqwbb3qs5RM1R0vUPnrLNl7%2Ftzk6IC8SeUpG%2BjpHGd2B9rsE%2BYTcnnIO06jB6NSZMmVTHk1tzc%2FO4w%2BC3gjocBS21CB6VsnoQNckXKWobuUnafz5MsSF3b6%2Fu6ZhRTEwAAgABJREFUEhRuaebpv4UKz3ckyjg2T1AqgU2Eagmc8%2BL9t%2B5J5zPZ5KrxF8fzPiTWl9VWtxbVK3sUwygOmqtbS3vsy%2Bw59l5qU4M3O1cn65oQW4gxlaDrxJkhL9ZC8Su7%2B1786MKUMZfl553XC7a9%2FBaFoiuzKU%2FqbHO3EvF8NoV2xqNiTZOo9Wd1ZtuCmWBa8CM5sUCw0aOQ9yX2zQeqYw3I5DKa1iYLj7WbHBL9jmdqQ6BPwjwJV%2BjPps6dJ2nPlWh%2Bg8Imvib%2Buw%2BI%2F%2F6pEczeCw97pYgy5ron6MwgSMkVtJJK6550ju3N017IqYUPoC9YVJB1yb2%2FhlFYzGJPsbe0xw4ooQ5%2BTHvRyUnn6JocVCpyXCm6Jtw6DB8%2BfGhDQ8OYSFDoINlNpD%2B%2FU0G2NDEpOjl5LbXNN87XOYvz1gydvbD5B5SsXCa20oOVpOwe%2F80fYDaFWxR%2BB36X9N%2BaKY5PRrdIRvpSCcBIqQZIwIp5kmGaJ0HMarNYO9AWFWtf2K%2Fod1QAoFIwXUEg77F8oxsFhDe0cW%2BFlg%2FecISNYpOuF0nKsEqo9NCWR2%2Fs2muvPWTEiBFj1Y73nfjR%2BSljBcl1T151IC9kLdSeIGG%2FMZ71r3neEDLAUb9Cz68DgWF0IG6JjOWd7Cn2llpafs2e096bnoqjp6%2F0gsurqa1Vmphxft6JQEwhthBj5Nd6Nei4gJmUQz6tU7S0i6WL%2BdoXVkERNl%2BvpzYmNZIkBvOvZy6IM1v8N%2F6Im8VcfZ4Wd2ZwGeivqalpIsnn%2FKfb%2FaoVBuoNo2vBDQkHdNqc4IcPo52oHsVt1QL0KQkBMWDIwNcZKaMDpt8RBokXlcV3575eBsnuxaHG77O%2FRBknszErpM2mXy7MqB5Z2rs%2BH5%2BflLLr%2BWdVgcn7ZB2Qi6fa%2FIWohddmOHEFUgbDMFYeffNhZJGzrK2B5F8kU6V3xnpVsWGOnisx4yRiCLGEmFIiuNjrZzgRPVyhjZBbk7yNcHbqHrdbFIufUZL%2BJ53ZzlRh%2Beexvo3UA50kFGsZpOf2kfMfc8UNDQ2NnI0qoe3d6IZArGfy5Mmro%2BZaX18%2FTqq622vAnbmEA2Idn9rmSahI5S1cMFLk8yTd%2FUA7T4nUDbEhT6WCEJvwY6jWV4goY6vuSd4ri2NFGDM%2BPzDWlSm7Bn5awcfBvFiRsudTRshwGoO69P02NzePpOeXw1XK1OMNw1h5tN4Es4fYS%2BwpDcGfpr32fLLIbNHFljmKEQ8oZhwoceW1iCnElkrRNUF0kVsH2rkgAYLWN2UsXY%2Bm7sN%2BuUR7gNvDx3Vmu0v%2FnSTwdE2cGusIfof4nfbWuY8Omc2ZL4b9DnpuD84bXXJI1Wq9Dkc4kUH3yJDXkoOHavcbsXA8p6W2G5J%2FKBmBDvgFVQdW1TxJWaKM%2FE7xex6bHxTja0OqHN2TvtI9aYnE7P2aHcJBXa9qo9sgiu0NXirbg7HuMlEL74QeUByuhsOa4qFEw2gf2DPsHfYQe4k9pZv9y7TXFmjvdfe41NPaVIkR1xMziB3EEGKJfFjfVCG6JvF7NyJ8KJYyug%2BY3XxQSXF3iJ%2BlbXgLlTDNVjGZ9%2Fhkytrx71Gycpne6YFiXf0E88WNjY3r5nGKInbJzZhnU4yyD6T9Vpwnoa%2BQeRJRAre2cCHgwzBh%2FOy7sY6Mz1Fyz%2Ft2n09tMwk4%2B84Y9OoK7QkEjRgW4%2BYH5q4fQX9Iv3KliUaJ9%2Fy9HiDtskAxXUGApHhP%2BuNzauFKmHkyjCLBnsmpg9lL7KmUKWffrL1m%2F9UFBB%2FEkAoh%2BOij5KuVJIhZXG4Y0BdJWTvXX3XgJwFY0k3f4Yq6KbkOHEVn2tFu4NzH%2BQ%2FBas0XtzJ8RTK2Hi3wnJXQtstnUzhTcoPJM7FuitEukJhwLQcrA%2FRxDLfjUMiKMTyU3HWD8MP464fFYpiQ9q3bUiac2Fsq6Tn9Hrc%2BD%2Bum4HCxVk3IxfEq5Vo675nNA3t8T682gpkPpO7RM9sbdQEIABfqVvILzHRV0MyTYRQG9gx7R3ORX2BPpYzG9f5k3abOmtkkNlxCrMgLLMQQYkkFmFwreyndJrEGqqi7e8pmcG9S4rYqJBOKnI38h859nP%2FOSBkVMe1e32S2iDZ4zaZsha4LZ0nU6Jk3ogOHZ8OYgL2T8bbQjAFqoPVQ3kGfy02BquV7x1%2FZL9YxsaADRpDvhpS1cD2ozQbDFdeBvWFAOtc8yfnBqXScxjAbQ2C0tpHEVYooI5XHsIdmWiKYMeJ6OmVaNbcpgXNALr6tkL7f21R53B%2BiCZw8%2Fcv2Voax8mDPaO98ir2km9%2FbtMcW2N8Uvl7Q8z1RrUzbEzuIIRVy89svb4NnDkMC1F9JmZ4IreKz0vKthD1JMDjXgpuhcx%2Bte3cq6WI25YKUzaYgtvkTvf9PkqhAoxw2MJ5nQtJWCUxtRsewrA%2BQQzbGgtFgPOFIJsVBfGfR6B4Q3%2F8qZf25t8kYudp7Xgf32UpKFqXe07e7Ij84tycXIZwE40ZLS8s4SAFKGEd6NfKe7eHDh7fU19dvwGAjDB4pU5t9KpmxqzPaCtlbqPrewgAlAqb0bNNiqRs7wzBWoujGnmHvSASYKu8t2lsvaq%2FZ5xTL1EVMQCfs58QKYgaxo1Jm5vIOlLFjxzZwnornsF08hx%2BkrNvg0dQmoVC06GJnn4leT28%2Bm%2FKizoNP66x0r5IVbv5PjLWfGFx3jeexNbMpEFOU6NxYN6XCE5Hl5kkGDx5cSy8gfNXSJ5ko9q3tlOlCHXe4qkx%2FSBkH9tPKmku1SXraPElHNiWD%2FX9ASZjhr6ampk0QZawUEalcH4DgIrabLRmESxkrG8nqXFVUcofrIF1MWyHVKdolEes6FBrHvK1Qdue%2BXcP4b7AnWn2W1OAnsHfYQ9pLD2lvzU89q62mO1fUX01tjE%2FEhLOl57ElMYPYUaLX1KtRIro4Ntbm3NjJ9q7XWaK3nJdW1EzJWSdfStmtJEr01yK%2BzVlSM8p7aDZlS7GfjlXxoDE%2BG8q5lPMpz3CFgXqjNx8wEQNCn4R5Ehy25km2ljDQ7iXzJGwkruYuTdngM87mGWXKlXj4pD%2BUFrZTxVi1UwS99wwZMqSlQq6pW3top0yZ8s6WlpYhGnj7dMra%2FG5O2U3aLFVTfItSXFvhy%2BlNqIXZv7wH2Z6vxg1jefRnb2iPjHgL6uCXtcdMHVzMbclCxYAnFBPQx%2Fg0sYL3QOzQjW%2BvL6bonDWiqalpY9En75Oy%2Bdw79YwqwR6Y5XoyZXNd2AOdN4gLQ0X8U0YFpB%2F3UQiWSFakpzaBQXrOqTxHt35VACZNmlTFMBL6JJonyW9IoIKblrKBptNTdvVIho9wEkNt9BVOT5UtUDVHCdpluk36qq5q2Ui1FWA%2BfeAux1EQ9Kl2UP0Q%2BwiDpXfJTmal7sk%2B0pMrkdxUorB8Kc%2BbYCchs9HS3HmnvZthLId3sje0Rzjw7CJfdan20rzkm96iNTJydktiwYXyVTsSK4gZxA7pX%2FT6KjhnAgbAmbOI9XUO5CkbHP97qgwChjd0g0LLFzdFj%2BosSYEXVld0b2B4PTnWYdKRY4Rgd51LN4lz6pqRnDRwbrU762WHyXxRrSADhUpx6NChExoaGrYIY%2FgIlST1hP5KCckfU9a69WhaXp%2FkZVVFKpkH%2FmU5XgaUzxG%2FN0QBG1cINWJuU61Ky1zDirf9q2jAyNlAGsDt2oJkas6i%2Bntz7ROeKz28x8mJb19TU7NB7Ofh7O3ka2%2FDWOan2BPsDfaICDy%2Bxt7RHnom%2FTfNvX1Oeb5qgZ4rMeBK6YIRG7YiVqg9p2%2BF%2BKlW6n0O2LE%2BG98fFF%2FPS5nq%2BuOp%2B4gudlVxbaGKAaWzKdyuwfb1FxXCmU05gSI551JuU7hJ4bw6evTopokTJw4oYUetFH2cXoPWHlv69HDMmicZSh9fVVUV19rjtVm2E2MJrUmHxvptyuZJ7tXGmaWMt1LmScoSlYKaElGpSnO%2BsN8Q%2BKELFMc5Ce7vVZWcY5spPPjP0h69QNTCX9SA73j445PnTgxjWSyUPtd47ZEvijr4gtTGlGT%2FVKx%2FmiPf%2F3tiATGB2KDkcEilFe9KRIuZ2%2F21bgv%2BoTPEogq1kdK1VEkac1%2BIoOazKWfoXLqP1OeniOlsIjp7eq7LZlM463o2pZuD61LEbUp6bMdznU3lQlzTn5A%2BxQ%2BkUXGKbktu0YH7aTmYpXa2b8nvPUfPietJrmhhMdsZ%2FvxKu7ZmYC3sa4wG4z%2Btlomz5WRmOvgXvhjc5eYO5q7fcuNJS2Yuaia7MwzHwtgLJaKxn1R3wG8V6x7TXrJPKfbgOVO%2B%2F2zNE3xaMwRjiBWVkJiUtj1zJuBsEJ%2BTFNNVgNwCN0uV3Br%2FZrcrJGoMzz%2Bpc9UfdS5lNuzwknavz6idmdmU91VXV28ozZwWzrwwo1UCa2qPBC%2BGl4Q%2BCXzuEsvbjX7H%2BPqzlM2TwLF9kSrcf07ZoNKjqW2eZHFy%2F%2B3%2FGvBapATlWT2%2FE2KDfA7GCZ59OKbVK0j1dHXml%2Brq6tYSocIe8Rl9tWjf0BLoIdPOoxa%2BOZ736Tm1cFVV1XAPDRpGBvYCe6KEOpg5ypuTqYM7k7zjOfn%2BIzTkvDWxgRhBrKgAs2tNTDgDiDBmfc4GKdMCu11nhjk6Q5gw5r%2FPVflsyiM6l%2FLMaPdCT4%2FZlJNi%2FUI3cl9BDBtJB0iJRo4cOQZtPmQdXKTrBll6KpknKaWti2RkM82T7En%2FXnx%2FcqxL5ZzvlYOm%2Bv%2BCMlZ6AWlZ8nDg21eHcn5vKm9QUZ4rNdSKo0okGaZCBKMGQUgVje%2FHjy6Wg1lkmymcWjhnw4FHnlbMw9RWtxaVoxX8g2FUWkxsBXuBPcHeYI9orzyc2tgETR1c7Fokn38xMYBYQEwQK2hF6IC9BdX%2BNzkj6KwwP1X2zO7bacmVzqa8pPMpCR2zKbQL3qWi%2Brmxr4%2BJ9eN4xl%2BCcKGxsXGzsLNWYcf8DJasmdK1WTkP%2FU3mSVq4QuSai0qRbks4MB9C%2F178mRd6n14yV68LZAyeJymvUkSChwAhLQM7IzLV0tIyHCHLShCZKq0UUR3jto7e7pS1C94t57JItuaEt5gr8JxeeKYKDb8RqQWqu80ajMf2LNBoVBqw%2BXewB9gL6lOHOjhX5J6Z2miD7Y%2BK8Ue5QPEL8vmnEAOIBcSESuokyEWsOQNIpJiWrlyk%2BOnkToL2zqa8XpK4cGZ9UQUGblSuiOd7mogG9i5h%2BNos9vw6zKaIsKeBeac3mU3x7UpR4KqKBws1Igwk%2BTwJvXfx8D%2Bk6ukXEbiJv35wLIaTad%2Bif8%2B9jp2z2Cy3xTpBtMIfQvWUwBifVQL1XZ%2F%2F%2FOc%2FfS688MJ%2BJZXKj8r%2BcMhQJtIu%2BLIrlYU57fxQsFCVystp2SQQMnhKKwuOuEKSY8NY7nCI7bMH8sOh2pkv115ZWJKUuCBXzE3uy%2FLxf5fPP1gsS603ucQGYkSFVK6rVCBaV2eyr3I20BnhRdtLoVTV96SshRAJAzqD8navr2nWiXj4gfi6OXGxdDaFuWy3fhWIPffcczVdF47SDckHNOAOVd9PUtbrf5pe1u%2B0Ie6TU34%2Btal3u2JU3KJHkt7IC3P2JJi74vs1YyMMrBTbJPhwMIARTuwksMCdKueRJyhu8Sr%2BYMCV980EQObKYu2QJygVIgpqGMuAzWvOBHaoHbQnTtAeedYFkk5p5coTkxty9krNwI0gJigxqQgQ84n9nAFK2OEu1Dlstu2lkG6VvK2ZYvu%2F9WyhZ6Ztk9EFSC%2BOj%2Bd%2FMO2FGm2AMe79FPOZxyZBmTp1qot35VSlY%2FVjgzPkwwNFTArhRJTc6bUjKYkNcHzJDcl9emFPyWmUzpNwY5LPk7hqVMyap%2BTvJgYuqdLRUqcbraGpcvocW21VV6gbi6aaVrczdTB4RM%2FKdldsn%2B5M7Xn6vH%2Bh9q5WUVBRC7vP1qiYeCnq4AnsAfaCGCkv1h6ZmdzrX7QPyuMf5Bxnij0Q378xsSBVFq0ruiZDxY66m26zIWG4qST%2B2W6KaSOEzGKBCu75bMpzulGhS4i2r2vRoot1dLyHfdVVtCNtXwiQMwuFsGMJu2rf5Hj5P8Fmfie0e9KQaBo8eDCDVWtJT2JyrKmoudNrJ%2B5srlIRPXpCL2pFoUQ7487VPXlOtye%2Fi%2FdyopjRJlPBqzTdE81BTWAYEjYNZp6UON9bcjiw3RR7OIBpD2rhs8L29pco6CbMosXn%2FZOHAY3eXxhh9cfmpePFHtifPZEy6uBHXRzplCp2Pvd2Eb4eny9SlAnEglQ5uiat9qcZh8m6sYOh63c6Gzyns4LtpnN1U5YoYeF5M0B%2Fe9gisymnSDC7dTYFFlvNx67F%2BZpzNoklN1%2FqOHhH8kzK8kbOTIm42ceoT25L6ZNMVeb3nZRxZkOpxnXhjaoKPaWX4mvrru%2BB5Lr2yZT1QF4S72u%2FeE87VaLuyZu1VaSs5%2FZmOQzbZ%2FFtFQhYIex1I8UKaFNxvoMGDRqFP8H2Kqjn26iwmIlt5%2FOY2Dy2L%2BrgUtG7GcltpZ3RVvpcquy20mVsqcwxSPNrRxhSU6bTcY%2FOBrN1VrDddE3SvEC3KY%2BqcA8dMeKrJ8eiYPoDURFDHLUDOoDqdlmLBFOJtdu%2BcuBgydxk4JvHA9uVq2no0uLHv0zZPAlV6OtSNk%2BSUwLn3NlLXBlaJfzcC3VjRYJ4a6zjEAuqRN2TfCCVwbP6%2BvoNNZCKo75CjmJRiY3aVosdSH1IlbpD4X%2BP9W6YY5hVq5Tk2Ki85ATb5oYaW8fmsX32gPbCQ8mEHJ1ByPGGfDk%2B%2FQrJFcBWuSG%2Bv4IIOfqSmDC%2FEMnxIFiiaGuLz4%2FVWeCp1NbNYl2Tro2LJCj5bMq%2FdF7m3AxzbT6bciy2G2svzW9vG%2Be29UhQPLO5QnKCTomEe3bhliTWkfHA4Mi%2BQQ%2F3ET3sGXrwc%2FUSrE%2By6nogXy25TmQw8GyuDytR9ySVUHmKUW6SGEvOSNn1No56qZ6bbbVYKs8XVanLqYU3GzFixDAYc3RQMLWw0ev8DbaNjWProhHNqYPv0Z4wlXmx%2FuZ1%2BfCX5NORKvgqvh6fX2FU5q32F2sA9MEqKu8Vn9NO%2BLfURkLks9mq0U0pnU2ZpXMzxfzHdaPKIP0l8c6OjXf3vfAfn9QtylgRGrmglycnsbEZKN4UVVHYBkhM4ustuiGZmdrU261P0j1vUaiUXK3Wrl2gs4yEs4UEpUIqSa2bWexdA%2Bg9piKRMiY5WiwYWJudrJDbWerxPF%2BohX8CaUb4k3UQpaqrq3uXqYWN3gZsGtvGxrF1bF7MlZdrL1gFvvOUvB%2BTTz8CH4%2Bvx%2BeXsHP1qQT7Gz9%2BfG5%2F69LSFR9DXX1Vytq5HOO6r24Kgphoz9wR57Xz85mpnFCmgmamVi450WDO%2B9TOdVx8f3XKZkqet6PtEesFXR2eSAUlDH37hoaG9SOAVtw1Ia0W0ElqQPIH3CjF%2BnPKWgFmJffgdkZVkxYWihnHS3dnu%2FAp60aS3JQqQ3fHqCxUYdskJjlDV3x2nPbAdFerO01n4lH58rPx7fh4fH0lqMC%2Fmf0F1mbWicNtif3NsL10%2B8Xt34Nhw5fHOkJzU9vHe5xotsvl0ZqcxIPZWmxcJ8f3cDf%2FXYbuw1zP0T25WJn4nhrQHK9MvGJAL66ohbkJ3IPnQYUiZTR%2FVJUW2F4Krw7lrRaXiFr4K7K%2Ftagw28UavQnYtJgsEVv7stgBL05tLaTuLCh2LZDvvj2vNuPb8fH4enx%2BpdkfxDfxu28Tz%2BEL8f0BKRu8vlf2Z5vp3muOkpPLYh0uAUfEM9%2Ft5GR59IEKkZ43Vd1Piq8Mvz%2BgmxNT0fUsatffivf9k3FARJumrsKMvW%2F83oOpQqgasVc8A4gdLksZF7kPD51jf7Rb3KaW0IMgZ0B3oALtz%2Bjl8RKblq4S1MEHhM1zO3ur9oCpgzun%2BIHv5jD3y7w7AB%2BPr0%2BVRb%2F6v3RNHrb99Qh75haQ2bQLchFtxBpFMey2rlJjDwOvZ7BMtMG%2FjAUd3V0pm2WYb4PqEbonJJIPkliSYEr3ZCtuxSrNeaPXAykA2gMlJA%2BnpKz1LacWLp2hsg0VQy0MS9EfCZaiFv4gNKslxAxm7zJ6pE%2FBdrFhbBmNAt0MfqeEOphOg%2Bku5hXeq59TB9%2BGD9cz3wXfjo%2FH11eAT8kp2fGftC0Pl67JN6xr0iNtG8KMO2OdEbb8Q81ObR6xcrQ6DRwjc8OX8OL60AjzsGL9Kj6ntevfyQqjPYVjG9pKGNXuifd3cbzLn1JdIpBWYE%2Fu6iixosja0NAwSbzi6PRcpRumBSskKLah8hYsOjCTPKtD2rWxfiGaRPqiB8PHXyIOahg9Ca20wdKU4FZ2bVEHowTPfObfZPtztRfsE8o%2FwOWJyQL57Kvw4fhyfHquto2vr4QzGq1rOREDFXYolOPzn6eMnpZ2rieTdU16im1TxLg51jG0hdIeyvwQhWRTCa9g%2BNI5GUulnXYMaUScq6sn9zD2nAMivYyPxDu8Powe3Yld6U1F86TCbLo%2F1JIErwhkY1Rl2jtlHOMQPcxMbcxdHl4tJjlerMPZdN26niaqzy2ocMLHz%2BEuZerxhtGj%2FAm2iw1jy9i0huDRAPtLym6t52oPvGZ%2FUBhV%2FiL5anw27cp748vx6fh20QdXBFU%2ByXGsaphVJdy3R8qEhqGlfSqZjbInxUrYuq6JBbvqzjl5Eedws1uuALK1nP0hHlTrkF84gWOU3U13dbnbX3%2FnmhMkko%2FG%2B7tRvblTw%2BjXwqnl77qEcrFXVzoJWqg3l4hUfTI%2BOzrWH1PGN25nXjzHOwkybQXoIl0mauGdcL7w8VcQtbXRi4DNYrvYMLaMTYs6%2BDLZ%2BgLZ%2FmuOlYVTBz8un3209CDWwafj25WY9PqbWNoJ81gWyfEoFZG%2FGT86J2U31dY16VnMc%2FgMCAy%2BCUsuAqLQYauzwLpgpaCPFucbScoINDJKFLZpg3lCD%2FS15DaY7ijyQ2WJXtMnY%2F0zZfzZF2pQbscIpmMrMDlZzrFDNyk2jB%2FLKdyVfA3eFdfWx%2BbMcdCuUgDxtbXRU4t32LCoW%2FdMmRq3i3edd4CbLR%2BNr74A340Px5dXiLDwMnBoRfBz7NixDZGcvDuew5SI7T9Scvy4EmPbYM8QzZ6tm8BT4x1%2BHmV4zt607els5nmTFdAfB9zS0jKkqalptDPzbl1RWqgbkmeUjNytIHmNDt4nI8YY67MMWXFdWIFtXcsBwgdUnEX4gDDjpXpuzyQPEHYWVSIDmhfB3MVzj3ewbbyDNU0tbPQ0iLp1TWxYPuQgbDtljJZzvN87heDlGfnoS%2FHZPHd8OL68EovHeUth2OJ76YjQDOXv9Jx8JusZ57bZKvZzE3iE3uM43QIab4HWgb88QWE4HrX4%2BBwmiDtUmZ9XcoNig1s12Xfeg0u15K%2BxrlMCeazog7%2FFe0OxGA742traMVDTVeBA%2FHLgGYhaeAf1LR%2BlW8F%2FKPG2fRWvS4AT%2FlM863MIpNCuhj1uBPmG3a3Rk4DNynY%2FraFsfO6fZOPWTSp%2BzZVvvgpfjc%2FGd%2BPDK023CzDv1NTUVE%2BLdn19%2FVYqPB4WP%2Fp9yuZNTMLQc24CObflhEVTKpSwqF1YRpVIFsdwvChYD1Z2DkUoVKHQCr9iY%2BvSeZI35HxIDmkhgEHtzng3V0iT5meI3sX6qLRq1sHg4eKHZlE9%2FpXMkLSMWjgc%2FMY5tXB8fmrKhBlfSL4SL3otVhIN7%2F6taO%2FE%2Bi6sJNBgVppomtFzga1isxJc%2FC62nDJNk4dl44u93wuPey%2FIN5%2BaUwfjuyuIOng5lM4ESw%2Fj84jdxo%2BuSFlny0xV5l9JbXNPpsnvXjeBFPi5aS2Veti6urq6OXnOZOUPczwwbYLvxTpLVaJH7Iw7%2FWZkxXmSWUoKn1QlCWaYP4RhnxeGfXS8m%2B9L7G67cF4b4rzHjRs3UD257l0USLhLqYXjee2u1oxrdAu1aAXHbnssb72iQgaHjH%2BpwncY19jx3CfQJkOrQsoGWm2nRncs1rVqmoi6dQK2iw3Llv8l23axrvh5ykXyyddIzHX3UurgSmyB4eYElq6hQ4dOUAFyN0k%2BoN11narx%2F9Y5gUPwi6rUv6yDsVvyV%2B3iPeQi2WeFTe8f61MVKpJdHlAgpS1IGfrh6GboYPxU8jV2Z1LMLVRC8owCIE7nlpRx6Z8X62QogiXcs2d%2BWxKOa13IDEhMpk2bZh2J%2F8ZqVNxw8PF1TRLvsO9vx%2Bck3vfJmc9PbYw7tsfybXmpnmlOLfxrUQtvjq3m2ifJ1MJG90P%2FXNMEW8VmsV1sWLY83f6i0%2FzFi%2FLJHOK%2Bja%2FGZ8t3c2tScS0wJMnYIkxd0qNjfm93xTBuUEhSzk9ZqzKCoAj8PRjrMdnqHCV9Tk5W3QwmWkiXi0V1L1q64uu7K7FNsSwMCiA0BdsTGyC%2BP05V5oeSe%2FQ7uxUGh4K%2BDCKYaM0cp0z72ySLJCRSJ94cR0ULXl1dXTOMD6pGG%2F%2BNfjwbghu9u9XV1Rty45QyauEbdSv4oiuhhd4C5geOeUq0L6XPFiZAnj%2BBloAbn9tmjW57GORGWuyVP00Zkca%2FZNN5YuIDX3E3rS%2FKF%2BOToQ7%2BDL4Cn43vVnyrxBaYZYRFtBgiwsgMlAgaaFPeQwRGP4t1ZKzTOQinrP3wb6lNB8WzKatmzVRx%2Fzd0I8V7%2B1gk25vKvwywx20HuMoO419DYlNcIe4bH5%2BpB8yDdutLcfMkb6iqQZsAV7P02l4Rz%2FxXsG4h9oWYYqxtdKgeF1%2BHxZ8bGNREuAfH5TaZ%2FwmeSb8SlecxGrCEnpKK0x1KCmclty0Wad95gsJN4E0poxb%2BPyhBSaxhkjO1sNHdgE1im2iaiIIcH3ysbPiZtLymiWNhMYW5WfLBUOGfL9%2B8A74an12iAVGJ8a21zZD5UWyTmE93C%2B33nNPCl66LXgb6O7G%2BQLs3DGfxDM9OWRviX%2FVs87b8N95k2Q47LxYi0nqTWOf2CN%2BydazxJN3qHjBWFjwwDWBNzOkT4%2BOjVNF4NmX9izbo9vNcv9k8Cc%2BT4cq789sSzZPQU%2Fo55knCkDdCFXf48OFD1XPbZ4VltMPRk9hx8ySx0aPi6%2BV6%2Fk%2BrgmfbLtY5z9Jt4PncAuoGEL%2Bylq61bcNGt%2FEP2CS2KRv9PDabsraZe2TL9g%2FF%2Bof58r1344vlk7%2BsdroG%2B4c3TVb60MKdC4TSfhhnhPUoYoqi9uuxDohneHL83Yt1drtHZw0S7OlKVvLZlEXJQqJFF%2Bde1zOF1e9KdQ7sSBv%2BiBEjhtGGb1HidoIHRmsXypUYvBRxuda%2BQhn44tQmyGhDXnka4Fyf5N9yFFy7MtB2Ycr6Rg8rmSfhtmQyhsyge2CwDbkY5NTCJW2LVEXdttj5A4F%2FjGd%2BuhjmdqM1wQOBRnc7%2BGGTapvZTWK2tMn8UTb8svdzp1AH43uvwRerhXnHSqUObi9IUsaPH%2F8uDrwSadws1vaivv6Gzm7oe8FQiRbatbJnOmFg%2B3pchVJs223NxRE8LNUzxbbPhRI77HpLznPo1nAJUGmCokWgdSAwT1Bo7yITj8%2FPljHPS23sD05OVq6ndracAEnJ9arEnaDqxnckVEfFYzueN20vtHAxT4Ihc2PiYfdiwNV4VVVVi9gy6NndJz4%2BLWXtXTNtr53StvGCnPSN8bxPQ5NHrYrDTC1sdBdgi2qb3Ua6Uaep6vyQbNhtn53Tk4%2FvPQ1fjE%2FGN%2BOj3fa58gVlKvEQB8SxDSHtiTxDCWpvH18%2FLiHLb9EunrJOGFr1GaKHjRU2UNqP5ifPURVB8MCZb6F8BiQav6Kli3MdheaSVkWf6dpbPYrVLzd4huM1QIwoI0wQ09PyvNo2yDefJ3lNwewlVd14dleGkZ5KqwAMMPk8STiS98Tn49Eo%2BR%2FzJDbkAsDzxEE0NTWNhj8fxx0f54q7Tyvxti0Xm5wvkKP%2Bp57zIZA7kIBPmjTJfbdGtwCHBmwS28RGZav%2FlO0ucGW5U9Szn9ZzRuDy4%2FhkfDM%2B2iQv7TuvqSV%2FAIVlbgDjMNwo3bPxzKySrJTMpuxLC3msc5WAw%2FBFm%2FlcnVusm9Jxm15Ucu67IdbhnPUgMMKmdWPSN7lroOPgIZKJy6APKnHWL9pZL0tGMMYl6b%2FnSWjhgn3kXm1%2BBv2Oief4I%2FUyf6iuru49o0aNWiNnJFE27XmSzkXrzSDBr7GxcQ3a58R2gvIz7CZzSpyzq0jFVJJyh82%2BYL4HgbUvUd2j2hd%2FJkFxJclYFegr22vVk9CN6pdS1gZzt2x2kWzYxbhiNb1ymtVz8MFqZV4jry4nU413NFlZtjhTxDOtmTBhwlBaimgV12zKbjxzznW6IbxCtygP6NzylG5TZuo9zU9tsynWTfnfivBz9PwgI7hIBA%2Fbwbbmc11B%2BM9%2F%2FtMnsu8mDQdy5cpVoBVyl09OcmN8Ts%2BFZOS2lM2TXJSylqFfkpSI%2BWUqz5N5HgbZNthgg0FTpkx5J8%2FaFtc1hxGSbir2CHuFfW9QQi18k6odefLtW5Ri2bsIcNCxXkzljpYDKR83wRKYKlDHwFjlWA3bwwaxRWxSDJUXy1bnJ7NzFV1ZXiAf%2B6h8bit1ML4Yn4xvLqkuGwVgzz33XG3TTTcdOGrUqGZmU2gf19zlZ0lS1O5FDPyNzi3MptysBJ22Lwa7uUGcpzOP98JbK8I%2Fr5soFOFPjPPe12BUi6%2F1tsQCwfVgPOBNYI%2BKdUh8z1DV7TLW%2BXa0rZuVq%2Bn7dUPCgPtJsQ5cYZ7kQxioDsNrQlcJ00Y44dXdd9%2B1lSXmd%2FKKElet0FaSPKZMW%2BbPTr4LT05KE3n2CnNXR1KhRmiN1lEOh7pBMYyuRJUKcNjg%2B3VrcqRs9OkVDmI%2BkBWn6fWwfO25%2BF5RB4%2FFJ%2BObNWPpgl1B4HlSBGV4vqGhoREaYrXsb6LugR00m%2FIlzWHCUofGHbPGEMYwF%2FRPFWE587jF8c3XPCXdN8dzPCOe6TQRwLyHdn1bYoEHOQSpJMr4YRgHoPqLz69M2XXs7Apy2KUVYDbmIv3%2BXN8x6H5NPKNfc00qlgxuSCaTjIg2dSRBEI7y0nkS9x92vU1rtbZzMAArnnicMjdcVEyZD3oymVq4M1og8yHBs2FDonIXX7em15994X1gdKUvwOY0Z7K1bPFnOpDdJVs1dX7x1MH41jvxtfK5%2BN734YtTW3unW5uLjXmtHQP5bIr07Djb1XMuqaqqGsE%2B4LzCuQWxQHV6%2FBQh7vgZRVdYvh7Q%2B3spWTflzez7JT2jS8KmD5W2F0RHE8w%2BV7BRY8SaO4F3%2FBPQ3aZMhfROOe%2FXe6mR5fok9FguVEaM4c1QRe0R3ZbcEuviMMAT4vn8RI72w%2FHc3stgH8quG220UbWogPvZ6Xa%2F5FtCVjuVUAtfreT7peTe2qL31VxV4H4PD7%2Fosz%2FGwKaohX2LaHQV%2BmFzGhb%2BmPSl0Ib4vWx0rhOTwudNXpJvvbqEOngnfDC%2B2LGxy4t0rZ0EdG%2FQxZHPYqKvxqEaSmJ1gBwai5avy3XmuU9noGd1JmLWtnQ2pXSgvpLsmzMxnUWt7HMiftmE4rQU4W3fBaJKwnXjyaihREsZbzYsBM%2Bl3jskiKEtUVICQ9mjSkYYGmOehAo7m%2FUoVRe%2BRvIWTvYDBLvm5uZRtG3R62kT6r6gjQDHEQ5kUx1Qvhcf%2F1oOZnry3Eln9OQ%2Bq%2BDGAeU47Z2tqJya%2B93oKmBrog7eSjZ4nAoT98lGF3q%2FFt4GPV2%2BlS6D7%2BFz8b34YHyxrXLV7wnkC%2FLhebQ5Yn2Ecx%2BJZKyfp7bZlIt1FiJZYfj7Id2qvKgkpdJi5%2Bs6E7cydHETy%2FOLpGRNbqgkom0UiNXI%2BOhTRDVevNk%2FThm7wxO6WeitFKjzZGzou9wc65JYp4TB%2FSLW96Uy%2FvF4JlMwwpwSeOjQocOpAmGMHnTv3qC1jndFtUgJym7xMcx018rRLvGhotC1VBVp2Owgj7iUYUyGM%2BM9jKF6Z6s0uuggtjo2p8Hg%2FbBF2eQzstGl3q%2BFMxk9Kd96kBijNsX34oNNHbzqwXmFcwt0xOisMQfErZZi4zZq798dsej4%2Frspo%2BEnqYftEjZXOmogkpih5L6Sbk5elX1foTmqKXEWnJCzsSYTvhQO2ixWo08xjLYJBVKqTCnry%2F1HWr4vv6caYmm%2FZK7LwDUl8yT3x%2B%2F7B5jKSEpUPfhkbNr%2FJ5XrtejX1DxJHX2FVICsT9Jj0J93xS0Xt10Srto7tYmOzk1tfedu8SiGWnip9tizqqIiSPrZ2EPr0VbAbaMGYr13jKLRF9vCxrA1bA7bwwZli8%2FKNpcmUwcXGVtflS%2FFp56t%2BdWt8g6DknhprOL9kcdE5mKZySqdTZHII0r0G4vMJJ9NmUZre5yBYPq6JbUJO%2BbsXqXC3b01ji5SYnZuPI%2B9SOg4M4sWe7XkluXC0SfPqCdOnDhAhvmp%2BOj4lDE4PJ96nijjivMkL6dsuJ1%2BQeZJYBLhav%2BW2GyXx%2FoVlbX43b8S3%2B%2FM%2FA1XdaW0hyWHKd%2BU9DD7xrbj%2FfUnSIrBBPs%2BRk72SQXV3MH6wFEcexeFDXr7z9O8z2TmtGgr0BW4DytG4cUIbAsbw9bEVPRtbFC22BuKbd2tmrxEPvRJ%2BdRj8LH4WnwuvlcdBo6d3fP8t2wxO8scMppAI0aMGFsym0IL03djHQZLVcraI0n2mS96VOeq6Sr6ztU%2BW1Hssae2cuU2Dgsd7W0nQ40d9j2RM3NJ94ztu7OAYeaijPHHA2JdpUrIdB3wl%2FYgg1qsTcL142MpY1hgMzEMSS8lQ%2F9HqyLwDd2WfJCKQUNDw9jhw4cPnTp16jtsFb0HVIvCvkepTe9HOrBwTf24kle3eBXfOsnt5HXxvA%2BmXYCbWdo8IJJwm4fRGXsc21Ib52bYHLaXst75p5IpUjujlWu2fCi%2B9Ly85QVf6z3e88Bhm5bIdddddzBabRJ23Dre6y5Sn99H50PavUhULtH%2BQv8NZtN%2FKVmZqSRlaQ9OTnLdHpIuCAKgIIel66O0jIoIyehswOigAcJtw7l8S8qiaHs8lNqUdHvKoSjve%2Bf6EWFJ%2Bo1PFSsFDEJfUU8sMzZbq4VrApuRxIQrT92WGL0E3ICpPW%2BSnOxhKROkulMHlwU%2BbBTe4jUjeUDW6CK8DQHGjORWrqLXAvlOfOhFqqzjWyfha02A0XPPgnSNcANZMpuyntr%2Bt9UcV%2BtsSvx19hgFAPTfzlcB%2BG4d5mekNqHTnqrbM2uF5HtfKcK3WMOu69CX3kOo0bi2inVg%2FPkcZcTcPrzcDTPgFTm4MSboDBnmp3Xrhvgdzg6DOhzKPP1eUwheJCOaJ2lEn4R5EgabaAtAKCq5J77X2TdCSWEP6yBKxY1ZvHcE2SB%2FeDBVlq5PV1OLXhXP%2FRgVPXbkHZha1CgYuW7XOjo8fQubS1kHgKnDOyf2zpbvZEj4SHUh7CAfO8QxtGfuoyTdlNLZFMXOBgrY3Ioxj0tRFwZTFXp59%2FvTJh%2FrspQxn%2F5DRWJoiJeknqeZsiC1kbsQw45lBkeC20227y40Slgc6KXjRqGbHt5yocQV50mgt2M%2BJqcEpvf1svjvPzV%2BjwMY8udaMpKP9zU3N787vjZRZVPmW9p3afRi%2Byb5VGsXldVddUV9qhJwmNteSb1%2FsK%2BrRdkoFNzBMGVJZXVzOff%2B3ntGAYcpVn4zunl%2BM6oB3jtkgxZdLa4Y%2BLp85XPynadK92FXfCs%2B1roPvXKPtRJOkLhws8JcbrzncSr2fjjW52P9gHNjrLNSpj7%2FJ50fH5O9MPubz6YsSG2zKd2xcMDAPzPKN6IDI1mJT4i5dajtuwuBQym5Ft9V1%2BJwXnOlNbObGMzS1KZP8pgMn2t7%2BKdp3zoj1tEMucMagtBQrA81NTVtzKA7w14IJ%2FptVyRWl0Ndk0OMetKhFr5aie2CFRIUH0jKvxancPBvBSluMX%2FIfmS%2BjVtKgp0HZo2OHppEeNFXFKmjsS2JCZ8tm%2Fu3bHCx92NhAsY56yU%2B82p8qHzpMjIZfK3Ns3eDudx8xktip9vo3Phlzo5036RsNuVMnc3%2BoD15r%2Fbl00pUFqbu2fo1W8Xui%2BP3OYQ2NphckZSwInwXAwfPzAVD4fECtuBgHx8fpoP%2F893gwIZj5LYESsi%2Fq2qDqinzMVTK9g0D%2BioD7mTymid5LyxkCA%2FhNGFYcC9sxaI%2FN2Zwk2PjONOwlW%2FG579NWRsgCTizVa8mt4AUNVA4X4fDR%2BRHfkkbADe0sPnQQqn5LicnRruTE2wHGxIb30RpGf1StvZIqlzRuM5kL1okX4nP%2FC0%2BFF%2BKT8W3ap7MMbaXg70HlS4JCvpvYQdr1tTUrK%2Bb8fcj8MgZkjMZBQPkGuIfOznWBSkbLr9bCS621B0JaWaq8H2KWpI%2FAoPZkCFDWjwz2cXAydNjOGHChKHxEugp%2FKCqUCQAT3Sxg1%2BxP5F%2F9zxl22Sz1zMTE%2F99v%2BRKOb8h0dDW2lTRcn0S2tXyeZLUxkntw1Dloa%2Fe%2F%2BpqYaQ3%2BpMpU8X9Y2pj7lrkw0xhh5lXUtssGPv2DBUQNhsxYsSw9dZbr0YzXh4uNNqLftgONoQtyfd%2FNWW35%2FfL5rpz20hPLDYsSm0MXfhMuhQ%2BiS%2FFp6bsxsQzm5UTT1vpuzmsrzCbwiD9Goqxm4mSeHfNphxIy73OlX9O2S0K7V5558JradW3V7%2Bhgvz1EClBjx3J9%2BZQLFPAtyL8KjC2vJ9wjTXWaGQ4ngGglF3L%2FS0tL7rzRuqceZJX5ABXnCchOVp2W6J5Eob294LaLQxnC%2BZJCFIlwk%2BeJzHeFNg5hAgktGE%2FP1Y15y%2ByM1MLd047JgeaK%2BJ5%2F4SbzaamprURsqJwYFpGo73AZlR0asKWdFv%2Bk5TNST6erALfWdTBT8hXXoDvxIfiS92RUPFYTjclF0AeNWpU87Bhw8ZHArOZZlO%2BCOV02M5RKWu%2FhOHrrpRpEWFbdMbMUHFhnpKWJanzdVPytsXX9O%2FDh1wmhq4p8TtM4FxM940KakZXGlcuWjd%2B%2FPh3aTieyvIxSgqe7uTKct4G8kJJMsK8y40KOLTfHBv%2FTT%2FnKlnsW9tHYNqEwayxY8c2UEUzxZuxMuBWjaqOBmhpBblEThI7X%2BjDSOGOnzmxm9nD9CXD9MKhsqGhoTE%2Bq7JFGu1EFbaDDWFL2BS2JRubnjw3VvRaKN%2BIj7xEXQtfkA%2BtszkaK4KzGDO%2BkajUR5KyRpzTNpT6%2FFRmOBigj792SMqoiElUuE2h5YsbFW4%2FH1ayMlv215kdDaWiiwzsU5A%2FiwI49NgUvuP3GKjCt8%2BYqyDzbe0l5AVwLQctY3y0HxlkynpMn%2BrEyvIiZcz%2FlHFCA3lGynqIf6R2kE8hFKl5gY1JoPJ5kpIWEcN4WzDUxjyS6KW%2FHnZ1hJLgv8s5%2BUBS7KISxjDk%2BaKd%2FLz28TiUiW2RRnuAzWA72BC2hE2lTGvhXtma91yxa658I9TBR%2BAz8Z34UA8IG2%2BFvPUyn02BhjgSlA2Ya9aA%2Bc5SXf%2BaBJKZc6bt62IVpjl3UqzOh%2Bc7q0UzvzGha4duHZj%2BTtB%2F2zrcAtHOpRtCty2uwiSlv0QZOTzsDX91ytgWHtSLK6eyXEpJmFMDz1e1C27sP8a%2F83x46sms4%2FvPap4EFrG1UeesqqoavuI8SUnvutu4jLe1cfXJtsQhB2rAnTQcj53DKPKCK6%2BF35zMVSXsphJqxt1MzWh0ZP9iM9iOCBZ%2Bik1hW7Kxud6%2Fhe%2FfF%2BQbf4WvxGfiO0sGhL1%2FjTc7S7bOhuWzKSSyzKagMYeYoWZT6NLZVOe8T6NLB0MWezoWlMS0Ef5bZ8R5qU15vkjdlJyFDjtH6f46%2FTfswpmz5MbEBC7dwPnXwXalYXP0Qrh2Q3E9F2XsCAXhYiUiCPMwT%2FKcsuKHlKleE%2F%2Fe0zEKCWl9PL7fMjLuCfQWc62mYSRrJBhlATvKqRBpDcTWsPOU3dhh44tS5%2Fe5VlpbCPud6%2FrfxbM%2BkeprPPfJFBtKxE%2B9r423Oui06i1gK9gMtqMK%2FonYlGzrueS2zM6YA8UnXqWzwMfxmfhOfKgHhI2O7GPavpgdY46DeQ7OeYgckhDQ9kXRIezteIrVKZtNoc2f2zvmQZ7XGXLF2ZSOsm3mxC38f98R%2F%2B5zKY5zu0Oh3jGpG4EMFyV1mBZEB3d4ytq7HlRy0d4rMwIG9GxPpuyGhGw4nych8Tkh1oHKmvegpYxeP5jD6FlkUF%2B0o4ZRBFZ7C2phCCDuTW00pEtS9%2BRh76kDtez%2Fe2Jdih6RKCfH8S64Mje1sPFWh5pcBA5bwWZkO%2FulTEfhHtmWCS2KbXPJ6cDxiWe%2BBXWw26mNssD5DnuSsOPGJAWIHursua%2BoiPPZlCt0doTq94GU0YbnsymLOpicLND%2Fx73x70IR%2FphYX4EaOb7W%2Bw11I5S0vbxXfYHfTpmmyB2pfaKMbygrnSUjIvvlqo4BdxgbfsLQUT5PwsCUWrigJxydO0CzgRgFo7Vqg20xswRHu7R9jkyZTgLtIS8oOL%2Fiw0ohhBcLFUCYXYNk4zjaNulBhqIx9rh7eo23Qmtigo1Ad4%2FNYDspE3q7LbXNQ3b24GylrFdSG0HNw%2FKJR%2BIj8ZX4THynmPY8IGyUhbzogF0hBo7YoVp%2B34esBays8f3noCMW4yOEDJxHIbKB1jqfTcEHdISpL1eEv4H%2FX5joGNzHz8S%2Ff7DfUDdCiSjjmFiTxNx1aMrYFJ5Lb93qUqpNkg8YMejeqhQdL%2F7ieOnH8vJFK%2FdhcdRPJBnRrEsDBsHQI0I%2FnicxOqMSm9QPi43R%2Bwr7m2gOz1VV5hEl4laYLp4Nhev5c1SJ3Xp0hkElQ4eGsdzhBduQjYzGZnTTeU5qI7Eop63D67%2FbXGbKB96uNpcf4SPxlY7LRsGxuG8%2Bm8IcsTp3KEI0ciYMmxsb36%2Bnti%2FOjJ9F4w4dklhnpKzgTTcOwo4UwksFld9ON4XPX1KCc2H8%2Fx0U60tiAVzLhA%2FdDDnLAhS9kSSMp71LooyXygAWKUN9RV9xZlyNzZFTI4Ghfy9v4fp9%2FPNn0R7GLYzEm7aFCjL%2B%2F5vpO6QKIypg954bXeocSYhpI8QpwUYTCzu%2FSxXZ%2BclzJ0XfojylgLJ%2FPPtdGa4dNmzYCA6fGj40jGXIdROwEWyFSqoYuq6RLfm2pNh5k%2Fl6rnfhC%2BUT8Y2T8JWOzUYXJCzL6aaMHDlyMPufM2MkMFviA9DiizWN2ZSU6ZVxw0eL579lv8ymcPvHjQqF8oUrFDHymWgK6LDELlOEZ%2BYaDR8rwnc%2F9MMg0DxBSOdNFHhn6WXjxObpz8%2BkjAr47pQxp1ypytZJYj74nnQldiIDRjgxjKwJLmw%2FbmNVQtTCsIbsoGo%2ByvFXK7k2tXDxK2f%2FOZmreqphXKHHwTPizzD7A2M5YBPYhtq52KNfT1kPes6u5z1VPHUwvu9qfKG0xXbAR7qSbKwKcHvKeRRypJaWljUhZcjV5zWbklMRw7p5ns6fzKYwisCsNKQO02Xbi1PbDevrSmJIbA7TiMHm3NbQZmbCh%2B6H1h5fEhRYsqDx5aWlTJTxlpIXTWDgloTblL%2FGui5lQ0vHKKPdW1dwH9E8yWbxdV3o2RDRonXLbRxGdzj8iNpwIw3aMmMF3zrtXS%2F6sFL4mq2AQVX2MCpg9BbTazxkyJCBtkijFNiE%2BtA%2FqEFVBmTpN39AtuQ9Vex6Ub7vVHyhKskb4SNdPDBWBRAJp7uGBIWkAY07SJsUs7eEiphb%2BHw2Jf6Rn8RCv%2Bz0lAk8wjZLCyhFdDp8ckpiun%2BeUjJD6%2BJ2EDHlc1XWz%2Bt%2BaO0DTBocZh6kRJSRoMBgOyqaDylA3B4%2FvyJe7EnSMEABdGduSPLh9urq6maYD%2FJ5kvhnqkoG6nxNbKwykITTUoTDgwQi7PRjoha%2BVo7LQ%2FHFto28rALHbfGsmT05EMErmFqkOG1%2FYCyLRW9DbT8vue2y6GF4fN61etYfwyfiG912aaziM2nreZSZJ2ZT0LrTbEoTLVjcdnDepP2Qmz4xv36fAXr5DPT67pXfmKk4NFtJy1kS%2B944khJaF3PZChO0dGejYDCJ7BQlT2jW4gVeEH%2B%2BOta1JCUcMLj%2BxRAIIFDBhfFsQI8gNy%2B6HemzwjKMboE3Gbjdilu%2FlN0C5vTZixW4PXBb%2FmJmLRdevRGGFCq03K5SnU0ZPalnzyr7IJIXyNA1aWFGUf3g3Gher%2BIYNmRdk2IIK3ItsjnyeWfjA%2FGFJqwwurufKO30YRSB2RS0kNDlESPsARIUp7hOu9dflZQ8oKTlCGnrrbXCqIHjT3cGfaa0Y0lN%2B%2BtS5YXV4CDpFXxfwjlQvm0Zmec6UBFzBWd9EqMHYBlVKSx1MIOojfEoOTLaFnPtEw%2Fflr%2B4Uqf39xkdhBC%2FROdol3jua1r3xIeOFXRN1sQ24nNuM6%2FQgeLp1Nae4T1VPklFrmnyqHzeUfhAfKGpvo2eAtq%2FSC4QdoTMSbcoU3TrChXxT1M2m3JyyiQt0DY7OhcFhh3MrVw9CCU9%2Be8RxRpD7buoP38HfbY5joyrNQbdYVdR25Zh9JjDELbOTJSohfdNGakDg7f%2FVvA2tXAxIm%2BLlaAgfkV%2F%2B4lcw1v3xHiTYsEG2AY2Ilt5VonJIhcLCqMOflE%2BDl93Dr5P1MFj8IkuFhg9BSQXMMDSnsVIAUQOtIWKgvxDYvv7LPNrdAPhW%2FT52owduKDes7AayQbXZWifRPKxJgvOc3r9NE%2FSEC94CPMkODPPkxg9KTlJJXzr2HM4rC2kxXNYrItSxvqB0JOphYuZOyFBWarnCcvfebTtWPfEeAtdk2%2BljIXnIdnMUiUm3ovFUAfj2%2B7A18nn4fu2wBeqkuw2S6OnxPJlsymcRzWbgthyY5xXh3NuJRFhlgodv6ampo1z9lgRPtjGe1Ili5fNddkWW2zxLhbfaziuX%2FI8idGLnBvVEw3W7agDMyx1tB7R545gk%2BdOir1Fob2LAVx0Tz6a655QEPEAbuWhVNckDgwbluiaXCtbec37ptB5k5fk267STCmzPTviA6WQ7Zhu9PTC47JFss3IQfiZ%2Bvg6jLXWWmvVcdviYlgPA318XHVdeOGF%2FVjxZ197Gb0W9LkPHjx4ZATpTURP%2BN34%2BLSUCTXN8OGoU6hLaSc5id5f2kkaGhrWt%2B5JZUK6JtzSr48tMNCa2nRNTO1dfHEgF6E7DV%2BHz8P34QMtQmf01jPtlClT3vnBD36Q%2BcYBFNspwLulq4e%2BzHz5aRi9GVRuqRg2NTWNjiC9aQTrT8THB6Wscvtk8hBuZ%2BieMOR8CYKtkGvA%2BAdzinVPKg%2FSNVlLs4xfjnVwfHxxygSArWtSPDnFk%2FJtB%2BHr8Hn4Pnygby6N3goK7XvuuedqU6dOpSuIrx5D6KFY7mrMSYrRi9E%2Fby1pbm4eJWrhb8bn56aM%2FhZthby1yz3v5S%2BeJyxBt8RB9LfxrH8OUxBDjNY9qbw4g3YB4mqoP4sNEkadm2M9Ilvxnil%2FziRv6Zonn3YuPg5fh88raal0m4vRW8%2BzfUlIlJSY7MEwjO7vuNTK2J8gTe81VITx%2BbGxbksZjSkCTlQd3eJV%2FkKr4vmU0Qr%2FAT56aSxswwDjCgO5Ri8%2BLHAY5p1D6wn1Z9gClJ%2FXpexm7blkXZOiWrmWyoc9LZ92LD4OX4fPw%2FepAOk9ZxiGYRjdCVQPoSOEMjsC90%2Fiowtj3Z2yVgjrLBSzluhZclC6L9Zl3J6IqnycqUwrIjHpQwUThh3o6KWptV98fmnKVJ1RLZ8tW%2FGeKb%2BVa458GL7sQnwbPg5f51YuwzAMw%2BjG4FBcU1PTJGph%2Bt%2BP5PCsoM5heoEPO4WIwC3S4TOv5B4Xh6XPoJ00cuTIwQwvlly%2FG70LeXvFO6APRvB3hZvKPDGxrkkxa4H2GT7sMnyafNsW%2BDozFhmGYRhGNz840QPPIZlKfqzvDBgwgEPT1Snr1aYC6bmT8nvgOXRSFacH%2Fu%2BxzlZbz%2FuglN10000HllCXG70LrboEUHm2tLQMR9BXDF1nyRbmyTasa1LMXpsj33U1vgyfhm%2BTjxvqAoBhGIZhdG%2F0QcgJ4SYqi7DZxNcfxuenp0ytenrJockHp2JuUZ5MmebCz2jvaWxsXBcBWLjpJe5q9CLwTnm3o0ePbop3jb7Qh%2BPd%2FzR%2BdKVswbclxSQleRFgunzX6fgy%2BbQt8HH4uuTWScMwDMPo9lg9AnhDBPDxYu76bHx%2FaMoGdVFWXpwy5hsnKMUcotBduDnWMbSb1NTUvL%2BpqWliQ0NDIzMJNsfeBd5pJCUNqDTH%2FtoWdfL4%2BGjZwAzvicISk9flq%2FBZ1%2BHD8GX4NPm2BnydLdIwDMMwuj9Wq6%2BvH0DwrqurW0saHAgznp%2By9oi5sV4pSVB8ICpvzYr111jncHvC7AkHqHjuY1TZNXoRdDM5JvbUlmKM4tbkHNnALO%2BHQpKT1%2BWj5spnnY8Pw5fh0%2FBt%2BDh8nS3SMAzDMLo%2F%2BipoV7W0tAypqanZIAL7HvHnE2PdkTKK0wUK%2FqYWLqYn%2Fp%2BxrovD6knxrL8fh6ePxnNHMXxIcttJb0If3invlnfMu%2Badp%2BxW8p%2FJM11FUQe%2FIh%2F1nHzWifgwfBk%2BDd8mH%2Bd5E8MwDMPoSaA%2FHrpNUZ0eEB9dFetvKevjzrVPfCAqLzmZnzKGprviOf8Xm1B83s8isL0G%2FeKdNpay4fHOefeygflOTgqhDn5ZPgpfdRW%2BCx%2BGL%2FMcl2EYhmH0YHAo5jCl2ZOvSyTu9wr69Mcv8mGo7EVf%2FMyUKYL%2FOdY5DO7G895u8ODBI32Y6j1AYLOqqmoE7zbe8Q9S1s71Z737mbIF74ny1iL5JnzU7%2FFZ%2BC58GL7Mib5hGIZh9HCoDWWDCO5TI9D%2FKNZp8fENsR5OWYXSB6LyVt6CMlPP9A%2BxDovn%2FbF49mvGgba65EDlg1XPQ5880Z80aVIVQpvxbneNjw7Vu35Y7z5vlfSeKG%2B9rGd6A74Kn4XvwoepTdIwDMMwjJ58sBoyZMhAHai2FtvNtNQ2wMuhym0o5S2Gd6E8zW9QeK6nxqHqC3mPPIJ9Uox3j3zPQ18SE8T%2BENhk3iTe7efj81NK9tBi2cDr3g9lt0nmewiCiWnyWfiucfgyJ%2FiGYRiG0cMxbNiw6rq6umb0N8Tc9eWUUZ%2FeGOuZlPV4v5ZMLVxUSwpV3wslgDm5qalp9JgxY2pHjx69utWsex54ZwhqxhrY3Nw8Ui2S34ofXRDr38mtkUVRB78mX%2FSMfNPR%2BCp8Fr4LH4Yvs0UahmEYRg%2BHhuIHoVze0NBA1XenOGD9OH50Sax%2FpbbBeA4HrvyWL8r4dKzfxTqQdpQ4VL03DrWjeAdSjTd6EHhngwcPrmX%2FxLt8j1q69o91rd61RRfLv3nME5OX5ZMuwUfhq%2FBZPHv2j%2Be3DMMwDKN3oD%2FCcQT3IUOGtETAnxSB%2F%2F%2Fi81%2FHujtlw6fzSxIUH5jKO2jxPG%2BLddLAgQO%2FgYJ4dXX1hkOHDh3e2NhYY3PsWaBaHxgmaujtY%2B98LT4%2BIdatKWOUckJfPnXwUvmgGfJJv8ZH4avwWfguCZr65tEwDMMwegHo0e5P1REBucCECPwfj88OT9lAL60pLyYP9BaVnCDEd2%2FKWrsOivWlONh%2BAFVrKvDJPfM9au%2FwziA2kBr8F0TJjaDpPSmbj3ByUgyhxIvyRfikw%2FFR%2BCp8lm5M%2BnvvGIZhGEYvw9SpU%2FtVVVUN1%2BzJD%2BIAkFOhPqpDtalQy%2B%2Bfn6tDFmxDVIB%2FwkGL25P481AfsHpWcsI7K2G72zcWg%2FDXp6z9aG7ynFYRVNyz5IP%2BjE%2FCN%2BGj8FX4LJuhYRiGYfRicNgaOHDgJiguxzo0vr8wPr4zZSJyC3xYKnstTJmy9X2xro7D1nFqUXlffG1wctKzkhPeGaKL8fUrsY6Jz65M2c3Ys94vhawF8j134ovwSfgm%2BaihNkHDMAzD6OWgTYV2iQj%2BH4rD1l7x%2FS%2Fj4ytSJno214elsteSWHN04KJ%2FngPXjxDuoxIsSmGjB4B3pZvGD3JrkjKGLtTgn4w1W%2B%2FaNl%2FemivfcwW%2BCJ%2BEb8JHqQ3SMAzDMIzeDIayGTKtq6vbCDacOAh8Mz7%2BVcrau15IblMpgrFrsRKUx1NGi0oP%2Fa5xyB1jxqGeA94V7yze3UdTNqPFu3xM7zbXNrHNl9cG%2BYJ8z6%2FwRfgkfBM%2BygQShmEYhlEBQG9j%2BPDhQxsaGsZE8N8sDl67MbgdP7om1hMpqwbngnJOVDpOjcpzZGCawelTaFWpqalZL55%2FTinsAd%2FuiVYCCd4R74p3xrtLmehiPgS%2FJJl6u5yEJBcuXSKfcw0%2BCF%2BET8I34aPwVTZHwzAMw%2Bj9WK2%2Bvn5AHAIa4uu4OHy9f%2BDAgd9OmWr8gylrV0FY7hUfvjp8%2BMqTFPrp%2FxnrPIT7EPBD86S2tnawqVG7LVqpt3lHvKsS0cXz9C4XlOwLJ%2B8dS95fkY%2BZLZ9zDj4IX4RPkm8agK%2ByORqGYRhG70c%2F2lUI%2Fk1NTfVikdojPj8%2BZfocT5UkKG5bKS9JQb%2BByvBVcfjaL57zLvHcN0RpnMOvRRm7H3gnSkxG8q54Z7w73qHe5VInJWW3PeaJyVPyOcfjg%2FBF%2BCR8k9ofzdRlGIZhGBUA2lb6bbTRRqupQjw2DgYfiQMYqtcMxt%2BfMiaiuTqI%2BUDV8eSE1h%2BYu%2F4Y65gBAwbsyXB1Y2PjunV1dc0I%2FNkcuxd4J7wb3hHvinfGu9M7fE7v1MlJx9dS%2BZZn5WuuwPfgg%2FBF%2BCR8kxITtz0ahmEYRqUlKjU1NU1xANs6Dgh7l2g4%2FD1las2LfJgqO0FhRgGGp7PiOf84nvMnoRVm0BqBOZtg9wLvhHfDO%2BJd8c54d3qHM52YlL0WybfgY67H5%2BB78EH4IickhmEYhlHhoIWFdgqGUWNNi8PCmfHxzSljJXrZh6myF8xO%2F4h1TTzfY%2Bmtj2e8Y3y%2F9qCALbB7gXfCu%2BEd8a54Zykji%2FiH3qVturz1snzLzfgafA6%2BBx%2BEL7IFGoZhGEaFg0pxHMLGxQFhmzgsfCG%2BPzA%2BRpgREcHZPkyVveanTBfjjni2F8Qz%2FkWsz1lkrnuiRKT0c7wr3hnvTu9wvu257DVbvuVCfA0%2BB9%2BDD%2FJNomEYhmEYy%2FXYIxSImnnKhuNvSVn7hdtYym9jQcsBpqeb4jD2a1Xkt3EbS7dD3ua4jW64fs0707t7IbnNsYg2xxnyLcfja%2FA5nsEyDMMwDGMZcj0H2InigPCeEnaiK1MmIpiLzVn3pPwB4AdiXS7mrg8PGjRoVMroUvsqSXGisgoSEq2%2BDGLzTng32gOX652ZIKIYXZPF8ilX5ux1%2BBx8T4n%2Bj2EYhmEYFY7%2BVCxbWlqGNDU1jc6H41M2BMzB7KVYC5N1T4qgTn0yZVXjoyR%2BOQHaVA7F06ZN6%2BvkZNUkJzx73sHEiRMH8E54N7wjvasnk6m1i9A1WShfgk85Kx%2BCx%2Bfge3RrYt0fwzAMwzCyinGeoNTU1KwfB4fPxOfHlhzOXvLhrLDDGf32v45D8Jdqa2vfE8%2B9btKkSVWTJ0%2FmYNbX5tj19s%2Bz5x3wLuKdbBTv5su8I70rJ%2BfFJOcvlSTnEEN8Bl%2BTJyaiD7b9G4ZhGIaRtbTE6j969OjVRaO6o9paLtMB7emUMRUt8WGr7LaWR2JdGM%2F4OwMGDJgcz3z0BhtsMIhnrwTF6ELwzGOtrnfAzeFk3k3KSCEeSW5rLHctke94Wr7kMrV07Yivwe5TdmPim0PDMAzDMP47USnRPflGHCB%2BFZ%2F9IWWaBNNTVkH2gau8RIX5hWvj%2Bf48nu%2FODQ0N648YMWLYuHHjBkoV2%2BhC8Mx59ryDeBfrSZCUxPxavSsnJOWthfId%2BJA%2F4FPwLdY1MQzDMAxjpfAmuidnpEz35NFk3ZMiFqxPtLYcE8%2F2i%2FGMt21ubn53HIwbUce2BXYteOaNjY0NvAPRaX8xPj5aNv%2BC7bUQXRN8B7omZ1jXxDAMwzCMdqFE92TbFXRP7k%2FWPSlizUqZ2viZ8Xz31WD85nFQW8M6D6vG3gcNGjQ63sGkeBefiK8%2FjI%2FP0DuaZXstRNcE31Gqa7KtdU0MwzAMw1gp5LontLjEAeJDcZD4asp0T25N1j0p6rD2t1hXxrM9CtaiWDuUKMa7zaXr0EeK8BPjHWwf6%2BtxeD4yPr9C78jJeDG6JvgOdE2%2Bik%2FBt1jXxDAMwzCMlQJaAyNHjhzc3Nw8Kg4QG8WBYlfmI%2BJHV8d6ImUDrq8lDwh39LBGm8tjHNji2Z4dz%2FaAWJ%2Bura19bxyM65ycdG1ywjPn2cc7%2BJTmgH6bsrY7WpHm2cY7TADxmnwFPuNqni2%2BBJ%2BCb8HHWNfEMAzDMIyVQavuyYQJE4Y2NjauAXtRHCy%2BFZ%2Bfk7KhVsToShmMfCBr%2F4Dw8ymrzP8%2Bnu1JqthvGc%2B6webXteCZ69nvFe%2FhxPjod7Ee1DsyAUTHqLNzZrq58hnn4EPwJfgUfIt1TQzDMAzDWFn0hcEoDhE1w4cPH1pTU7NBHN4%2BF59zcLs9ZQxG83T4eM2HsbKoVf8az%2FaiOLT9uLa29oPV1dXDbH5di3jmzTz7eA8%2Fij9exDuJ9VQydXZH12vyDfPkK%2FAZJ%2BJD8CX4FHyLmOmsa2IYhmEYxttiRd2TsVDexjooPrsm1j9SRg1Ke9JSH8Y6JEq3WIdf2rtujHUoz3jQoEGjpk6d2s8m2DXgWfPMefa8g1g36J3MSW23g7bZ9q2l8g3T5SuuwXfwjPEl1jUxDMMwDKOsRIXKspi79ol1ZsqGW%2F9%2Fe3cfJ2dZ3n%2F%2FTAjg7s7OZLM7M7uTzWazLE9BIphbflCjBmyrkBso2CDBRBD9obZVC6X%2B2njXIGoVjU%2FVUAUhgA94G8GHiKlaqRilJoWq5UGCgAaQhMQQSAghj9zfb65j7iyKyU6STXZ3Pu%2FX63jtZpY%2FmHOO43od51zndZ73K1ZHA0dDVvuyl%2Bq3y6tStivUlX7mQeN7VJ%2FlLjRvAzz59lh7zD32KbszuDQ%2Bk%2BpdQZYt1h4b49rga8SPfM3wtcPXEF9LyGkAALBX1Fi0qnl7mZdlKK7Q795W%2BKeK3yjW04zt0QPD26P59TfMXpN%2Fg5q3t%2FnB7Pb29mKfZS%2FcRdn3DqouW%2FRYe8w99v4M4rNYF59N9XMiZ2uL9XFt%2BKmvFb5m%2BNoR15BW0g8AAOyVlpaWQmy1Os3b3up3H1C3MBq5tTRjezQ5qd5B8TMN3hXqa2rc%2Fr6pqenVpVLpsEql0ubmefLkyQeTgfuWx9Rj6zH2WHvMPfb%2BDOKzeLbPZ8TkpPZYG9eGhb5W9Nkqe6KvJWQgAADYK8ViMed1%2BWowTlSDMV2N3Lv18rUpu3uyigZuryYpfqbBD8Z%2Fx1sKa3z%2Fkq1WB9YLbJX9lx57fwbxWWwhp%2Fcqp1fFteFaXyt8zfC1w9cQX0vIQAAAsFc6OzsbyuVyqbW19Sg1Gq9Sw3GBXp6r%2BL7iEcXmxJkne9PM%2BcHhHyo%2BpbH936VS6U%2Fb29uPUSPXziF1%2B57H1GPrMfZYe8w99vEZrCCP9%2Bpsk81xTfC1Ya6vFb5m%2BNrha4ivJWQgAADYK16fP2bMmHxbW1vFDZ2XaMS2qzcrfpWysyC2MEHZ4%2FDDw0sU8zWu%2F0fN3Dn%2Bptnf7PNN877nMfXYxp3AczzmHvv4DFaTj3s8MdkS1wJfE272NcLXCl8zfO3wNSSeowIAANgrB3n7T68Xd5MRTd3b9fp1ip8r1qTnnxpPw1ZbPKH4RTR0H%2FHYaoxf412kYo0%2BuxvtOyM8prFD12s81h7zmGj%2FIj4LcnLPdp97Nq4FviZcF3l8oq8ZHvPYQpgNHgAAwN43dCl2OPK3ztHYzUjZUpjFKVun%2F1SfCQoNW23fOvsU7WWKf9fYft4HMvob%2FcbGxuNjdyMmJ%2Fswlz2mHluPscfaY56y802WxWfB3b%2FaD118Nq4BD8c14VO%2BRvha4WtGn53nyGUAALDv%2BNC6hoaGcV6uoX%2B%2BT%2FEtxV2KxxKHMu7N1qtu6v5LzdzXFR9XvEVxkprnEg3dvp2ceEw9tjHGHuuve%2BzjM2Br7D0%2FdPGxuBb4mvA%2BXyN8reBQUQAAMKCamprKfshVzce74ltnn3B%2Br%2BJxxTM0azWHx8w7HPmb%2B9s0ptcpLtEYn6yxbifj9nn%2BtntsPcYea495jP0q8neP8%2FfxuAb8wNcEXxt8jfC1gowDAAADystifHCdGpCZig%2BoCfmSXv6x4qGUfYNKw7Zn3zx7p6gd3zxrXC9TnNrQ0DCWjNu3PKYeW49x2nnnb0Xizt%2Bexrqo%2FR%2F7WuBrgq8NvkZw6CIAABhoI0ZLHMp4muJv1IB8TK9%2FQ%2FE%2FKXugmDX7ta%2FZr05QvLTI3%2BR%2FTGN8toa6m2Ux%2B47H0mPqsfUYx1g%2F3GdiwjNTtT8z9UTU%2Fjd8LfA1wdcGXyN8rUgsSwQAAAM5OYlDGbtf4FDG%2F0zZ8g527Kp9t6PqGRHe7ehOxWf97bMfKPbZEFOnTh2l10bS6O1ZznrsPIYey9jQYabHOMZ6Tdp5Vg%2B5W3vuPh61%2F%2FuHLnbHVtjkLAAAGFAN8VDxkXEo4%2FkpO5TROx79NvHt8558%2B1xt9J5O2dr9L2hs31ooFCZXKpU2Hxw4efLkg2OCgtqM9Nh5DD2WHlOPrcc4xvrpPpMS7vrVftfvt1H7PnTx%2FLgmHBmbOXDoIgAAGHAH%2BxtRn%2Fjc3t6%2BY3mXXnuP4puKX6fsW2gatz2bpHhp0YOKr6nB%2Bzs%2FuN0tnZ2dY%2BK0%2BFGkX81Geew8hh7LeBj%2B7zzGMdabmJTscWyOmnftv8fXAl8TfG2IuyYHk34AAGCg%2BRmIg71ERr1eeyzv%2Bmu95gfjf5myb6J%2F%2F64A0b%2FJib%2BJ9jMQt%2FiBbTXRZ5ZKpZdorMf29PQUOGG7dh4zj53H0GPpMY2H4W%2BJsd5Knu7Rnb7notZd81%2FyNcDXAl8TfG2IiQnPSwEAgAG3Yw35c889N0KNXy4ejp%2Bll%2F41ZedFeEtWH8q2JbGGf08aP58X4S1Z52pc31gsFl%2FR1tZ2RHt7ezGaPtTAY%2Bax8xh6LD2mHtuUbYH9GBOTPXrOZEvU%2BKqo%2BX%2F1NcDXAl8TfG3oe60AAADYL%2FytdKFQmKBm7yz988OK7ynuV%2FwuZd%2BqssSr9nDD95OUPRT%2FTo3t6Wqqj29tbR1bLpebyLraeMw8dh5Dj6XHNGUPw%2F8kxpqcq30p19NR4%2FdHzX%2FY1wBfC7i7BwAADpg4Mb5TTcmfqzn5B710Y8p27nkwmpeNNHM1h8ftjpQtlXlvfCP9So3xYWPGjMknvo2uxQiPmcfOYxhj%2Bd6ULUG8I8aanKstNsa4PRi1fqNr39cAXwvY%2BhoAABxII33itpqTKWr63qb4F722UPHfikfS858%2FIfp%2FboQPBvymxvXjaqjfoZimsT2GcyNqn5zEuTzHeAw9lh7TlD3AfVfiXJ49iaejtl3jC13zrn1fA3wtSOwoBwAADmTzFyfGv1QNyrn%2BVlr%2Fnq%2FXb03Zko%2BnaOZqnpw8FWN3q8byWo3pPyle7zGOE7eZnOxZfr7eY%2Bkx%2Fb38ZHJSW%2FTNz%2Fmuedc%2B%2BQkAAAaFlpaWgg%2B287KO%2BAb1Cr18s%2BIXKftmmoautlivWK5YqrG82aduK96sOEnjWyTjauMx89jFGHosnZtLY4zXk281xxNR287NK1zzsazzKF8LyDgAAHBA%2BTyDjo6Orvb29pepUTk7zpC4JmXr0VfTzNUczyhWpuyAQO%2Fa9fl8Pv8uH26nf5fJuJqVPXYeQ49lynbpujfG%2BBnyreZYHbV9TZzFc7Zr39eAONsEAADgwKlu1Tp27Fhv1fpKnxLtb6gTW7XuaXiL1rUp%2B2bf27R%2BVeM5299ONzY2VhLLZmoxwmMW3%2BzP9ljGmC6PMX6WfNvjra59F%2Bp817xrn62uAQDAoOCtQ3t7e%2FPjxo2rlMvlY71dq9f260%2FfUvwmZVuPbovGholK%2F7dq9Ta39ykWKT6ocT2jpaWlK3GwXS0O8ph57DyGMZb3xdiy1XX%2FJyTbo4Y3R01%2FK57fOd0179r3NYBthAEAwAE3derUUf7G9Nhjj23x0g41LD7o7l0p21a4emL8lj4TFBq%2BXYdPLPc3%2Bn7w%2BFHFjxWfVDM43VviugHsc8gd%2Fog4JPSQ2EZ4uscwxvLRGNtnY6zJud1PTqoHL1ZPhL8xlsm9wjXv2vc1wNcCMg8AABxoIydPnnywm5Ourq6Wpqaml6hpuVCvX624M%2B0874QT42s7gdtj5oePf6a4Ks7oOFpj3cgJ3Ls0ojo58Vh5zDx2HsMYyyfIxz3Ox99FTV%2FtGnetu%2BZd%2B74GJLYRBgAAg6QZHOlvTbu7u1%2BkRrA3vqn2eRK3pWx9%2F5Mp%2B6Z6C81ev7%2Bp3hoNoZchfUFjepGaweNk9Jw5c0bFBIXJyQvko8fGY%2BSx8ph57DyGMZYbY2y5k9e%2F2BK1%2B2TUsmv6465x17prPu6YjCQfAQDAoGsMfUq0mpbTFO9L2XMnPuxuhWKdYhPNXs1LvH6tWBDLaP5k%2FPjxHaeffnqjG0JO4%2F5DHhOPjcfIY%2BUxi2WGC2IsWcpVW2yK2l0Rtfwt17Zr3LXOhAQAAAx23rr1ZDWFlyiu179%2FlLJD27wF6UaavZrvovg07m9pLP%2FRu051dnYefswxx4zps5QGfVSXGMYYHR47df1jTJQfSdwtqTU2Ru26hn%2FkmnZtu8YTW1sDAIDBTo1LWz6fP1E%2F3xLbjX49Zdu3Ppw49G5PJie%2FVfybxvT9aghf19bW9tJKpTKup6en0NvbeygZ93weE4%2BNx8hj5THz2HkMYyyZnNR%2BKKhr979cy1HTb4kabyPjAADAYDZCTcuYWOc%2F3WdLKPxg%2FPcVy1K2bp3msLbJiZfT3Kr4uMbyTRrXqWq6jyyXyyXOlfhDHhOPjcfIY%2BUxS9nzT7fGWJJ%2FteXfk1G733ctu6Zd265x13piWRcAABjMk5OWlpaCGpijvJxGTcxb9fuH9fpNip8r1tAc1twcPp6yLXA%2Fq2bwnT5bQmP70jFjxnSqCW8i5Z7PY%2BKx8Rh5rDxmHrsYw8fJv5rzb03U7k2uZdd0LJU7yrXO5AQAAAzqyUmxWMx1dHSMV1P4v9TI%2FKWamL%2FX69cqfpqytes0fbU1hx6zpYobNJ7v0biepzGdogaxp62trZnm8Pn55zHx2HiMPFYeM49djOFqJic1x%2Bqo3Wtdy65p17Zr3LVO%2FgEAgEGtuqymtbX1qPb29pPjzBMfgPdDxUqaPb65HsjJCXfu9nmsjNr9pGvZNe3aZlkhAAAYEqoPJI8dO7azWCwer4bmrHw%2Bf7n%2BtChlp3PTHNY2OVmruNfjp3Gcp%2FG8VPEXTU1Nk9SAtzA5ef7kxGPisfEYeaw8ZpF798ZYkn%2B15d%2BjkXuXu5Zd065tNmQAAABDgs%2BYOOmkk3Zs5drV1dWjRvHVsbTrZsVDis2JA%2FBqaQ6fUjyg%2BKG3cVWTeJmXK6kJn6x%2FtzI5ef7kxGPisfEYeaxiO%2Bsfxhg%2BRd7VdBDo5qjZm13DrmXXtGvbNR6HLwIAAAxqB02cOPGQSZMmNU2YMKGsBvGEXC73V3r9iyn79vrplJ06zQSl%2F1u5%2BmRuPzPhpV1zFW9WnKRxLTI5ef7kxGPisYkx8ljdFGO3PLGVdS0Tky1Rq67ZL7qGXcuuade2a9y1TsoBAIDBbqRP6Xbz4oeT1dQcowbxfL1%2BleJOxe9SdrBbdYJCQ7jr2KB4LGWnc39XY%2Bldu%2F5G4%2FrKpqamMpOT509OPCYeG4%2BRx8pjFmP3WIwlObXrqE5MNkatumavcg27ll3Trm3XuGudlAMAAIO%2BQXRUJyiFQuEwn4ug1z6RstPifUr3OsWziq00g%2F06odtN4q8UP1aT%2BIXqEpvGxsYOJifPzz2PSXUpoccqZVsI%2F6rPpJic2nVsjdpcF7Xqmv2Ea9i13GdiMoLcAwAAQ65ZbGho6FST%2BH%2FHKd3fUfxSsSplS0Y20wzuNjal7CA8P5j8M43lzWoU36vxfK3GdiwN4h%2Fk21iPjcfIY%2BUxi7F7MsaSnNp1bI7aXBW1%2Bh3XrmvYtUy%2BAQCAIa2pqald8adqbv5BTc6NemmJ4teKJ1L2DS0N4e6bRS9H8ja4vgPgpV3%2F7AMG1SyOo1n8g8nJOI%2BNfv%2FnlC3p%2BlWM3QYmw%2F2KZ6M2XaNLXLOuXdewa5kUAwAAQ1oulyupuXlF9RkA%2FZtnAGpfZrMpxuq3KVum5GU2Z7e0tHQxOXn%2B5CTG5OyULSP8cYzZhhhDlhHW8IyTa7X6jJNr2LVMigEAgCHdLKqpafMuP36g1gfi6ff%2FV6%2FfnrJvZr2unR27%2Br97kr%2FR9gPKV6pRPLdQKEyI9f8Qj4XHRL%2Be6zGKsXoisTtcLbm2Lmrzdteqa9a1GzXcxmQYAAAM6cmJmpoxTU1NL1Ez%2FTovD1F8Tq9%2FT3Ffyp4DoGHcfcPY91vtuxXXaFxnaSyP8EF4c%2BbMGVnnTeMIj4HHwmOif8%2FyGMVYbfgjY0m8cK49GbX5Pdeqa9a16xp2LTM5AQAAQ7ppHC1qcI5SY%2FMaNTlv1%2B8fSdmBjL9I2bMANIy1PRy%2FTOEdu96ihvHYI488snny5MkH1%2FEEZcfExGPgsfCYeGw8RjFWPARf2%2BRkTdSmD178iGvWtesadi0zOQEAAEO6cfS5CF5qo%2Bbm5WpyZujnbL1%2BQ8oOxlvN5KSm8PKkBxVfUdP41xrPlx1xxBFtfU7rrsdzJ0b6vXsMPBYeE4%2BNxyjGagt5U9PkZHXU5g2u1ajZl7uGXctMTgAAwJBWLpebWltbxxaLxePU6JwWjaOfB1isWMnkpOYD8n6TspPiL%2FFDyocddti4l7%2F85c3Tp08%2FpB6fP%2FF79nv3GHgsPCYeG49RjBUHfdY2OVkZtXllTIBPc%2B26hl3LXNEAAMCQ1t3d%2FaJKpdKmBudwxRQ%2FK6GXP6r495TtCsTkpLbm8WHFt9SA%2F2OhUPjznp6ew0844YTWyZMnN3ppU73ll9%2Bz37vHwGPhMfHYeIxirMiv2vLrsajNj7pWXbOuXdewa5krGgAAGNJ8ovSYMWPy48aNq5RKpUlqHM9U03NZyg5kfJTmsebm0WPmg%2FEu81h2dnZOOvroozv8vIXHuh7zq7e3N6%2F3X%2FFYRH69j%2FzaN%2FnlmnXtuobrMb8AAMAw4%2BcB%2FI1rT09PYfz48RNyudwpanrerT99I%2FHN9p5%2Bs%2B2dlD7k7YTL5fL%2F0vh2qzEf492q6i2%2FnFt%2B784tjcWJ8YzEh%2FWn7yfuzO3pnblvuEZdqx5X167HOZ5rAgAAGNL8kPZBp5566qGHHXZYyecl%2BFA3vfZVxUOJg%2FFqbR5XKG5V8%2FhxxZva29untra2HqXGvKQmvaHeksvv2e%2B9o6PjaI3FyRqTC9VU%2BwDG%2F4ixYnJS24GfrsmvukZdq65Z165rONXnhgsAAGCY2bG7z3PPPTfSDy03NTVNiq1evWOXz1PYGE3RdhrJfj%2Bw%2FCPFPDXhf6UG8lQvvWlra6tIY70llx%2FS9ntnw4W9yqntUYMboyZviK2qJ7lmXbt9axkAAGBYmDp16ovU9BypJnKm%2FnmV4ucpO%2FTt2WiO2Flp943kKsXtiqtjx66zvH1uR0dHlxr0XL3llN%2Bz37u%2F5dfE5GyNx9%2Fp5c%2FHGK1ictKvHeC2Rg0%2BGTV5lWvUteqa5coFAACGJe%2BsVCgUetREnqN%2FfioaSC%2B9WZ%2Byw%2FJY4sU5FLWonqPTozHwTnDnKbfekzhHp9alXJuiBldETX7KNepxrccd4AAAQP04aPTo0eO9C5B%2BvyJlW5Y%2BkLJTqZ9JHJjXn8nJ7xR3Kr6iZvxyP3eiRvJk%2FX64d1Sqt8mJ37Pfe2y08CaPScoOYLwzxorJye4P9nwmavCBqMkrXKOu1ZQ9awIAADA8m8mGhoaxfjYgthP%2BpuJ%2FUrar0rqUfYNLw7jryYmbyF8oblYD%2BRE15W%2FXWL5Gvx%2BlZnJ0vU1O%2FJ41BkdrDF7rsfCYeGxijNYwOdltbIraeyxq8ZuuTdeoazXxnAkAABjOzWRjY2NHU1PTn6qJ%2FAc1QDfqtZ%2BmbIcgN5IbaRZ3OzlZq7hbsVDN%2BKc0hn%2BrsTxdv7%2B4UCi01NvkxO%2FZ711jcIbG4mL9%2Fi96%2FdsxRmuZnOw2NkbtuQZ%2F6pp0bbpG9e8OJicAAGBYN5NqetrVQE5VE%2FQuNUF%2BcPkHintTtrPSMzSLu52c%2BKHlXyq%2Bq%2FH7rOL%2FaDxfp3F9icZ0TL1NTvye%2Fd49Bm6qFZ%2FT699L2a5TTzI52W08E7XnGvyBa9K16Rp1rTI5AQAAw7qZVNNT8gPc%2BvlWf%2FOv37%2BVsucDHlE8TbO428nJU4pfpeysk%2Fkaw%2Ff6MMZCofBS%2Fbu13iYnfs9675O9MYDGYY7%2BfV3Kzjj5VYwVk5Ndx9NRe3e6Fl2Trs2o0RKTEwAAMNybyTZv%2B6qf5%2FuUc%2F3uh5d%2Fovh1yta%2B00zuenLiMfISnB8rvqwx%2FKDGcJa3E%2FbY1uHkpG8%2B%2FbNeuzHy6SHyqd%2F55Nr7iWvRNemxjDGtt3wCAAB1ODlpbWxsPD6Xy71e8f%2Fo39ekbGnX%2FYlvuvsT3vJ1uWKJ4iaN31zFmxUnaTyL9TY58Xv2e%2FehgYqPpexh%2BKUxRuvJl37diXPteUnXNa5J16ZrtA7vxAEAgHqbnPgB5qampmO9VakPEVQj9Gm9fovinsQDzP1dhvOo4meKb3v8FG%2FzOR91uAzHzzCV471717LPRC79LMaIZYL922DBtXeLcykO9jzTNVqHGywAAIB6m5x461dve%2Bvtb6Op9nknbP3a%2F9iQssPyvBvV9zV%2BPs37HRrLV9XhA8zVDRZepTF4p8fCYxJjsyLGipzp%2F9bUV7gm63hragAAUG%2BTkzg0r9e7AcXa9sv0%2BpcVdyQOzevv7kqrUrYb1W1%2BADzuQJ1cj5MTb00dBzBeEg%2FD36ZYFmPE7m%2F9O9TTtfdl16JrMnbT663DQz0BAEC9TU7a2tqaR48e3R3PSJzjrXD1%2BvyUnXeyislJv86lcEP5oOJ2xZc0hu%2F2uRRu1OtxchLn5nhLZU9y%2FzPGhnNz%2Bjc5WRW1Nz%2FG0DV5kmvUtcrkBAAADGvlcrlpzJgxnbH1rQ%2FOe5de9tkU3n3qcSYnu41nU%2FacgB%2F4%2Fi%2FFVzWOszWef65GvVKHk5NKLBF8j%2F69IGV3AR6OMXqWfNnt5OTxqL3PxdlDZ7g2XaOuVa5YAABgWKtUKo3FYrFdjY9PNP8zNZUX6WWf6u3lOCuZnOw2NqVsh6XfKn6u%2BLrPOlFjeap%2BH1tvkxO%2FZ793n3Gi37%2Bp%2BB%2FFYynbIncT%2BbLbycnKqL1%2FcS26Jl2brlHXKlcsAAAwrHV2dja0t7cX29rajlAD9Ao1lm%2FUy3NTtp3wY0xOdhubU7ZFrptK77L0bY3h5YppHt46nJx0xnt%2Ff8p26vJJ516q9HSMFTmz68nJY1F7c12LrknXpmvUtcoVCwAADGu9vb2HdnV1tXSLGqATfKaCXvbhed9L2d0AJie7n5x4Fyo%2Fd%2BLzKb7rwwcVpzc0NIyrw8mJ3%2FMZig9FDvlkeD9v4ofht5Avu52c%2FDbG7Z9di65J16Zr1LXKFQsAAAxrEydOPERNT37cuHGVUqk0yWcq6OXLFN9J2dkUTE52HW64%2FSzFk4pfa%2FxuVXzE41jHkxPn0EcUt6bstPMnY4yYnOx%2BcvJo1J536jrTNenadI26VrliAQCAYW3y5MkHT5o0qUnNT7FSqRyZz%2BdfGw8zL1Q8wuRkt7E17Vza9Ygayh%2F5ZHTFWS0tLV11ODnxez5L4dPhfxQ5VF3StZV82e3kxOO10DXoWnRNujZdo65VrlgAAGBYmzp16ijFi4477rjR48ePnxBnVLxbf%2FpGynZZYnKy69iWsjsCXra0QmN3u8bwk4rXjR49enwdTk78nl%2Bn%2BFTKthFemXYu6dpGvux2cuKa%2B4Zr0LXomnRtukZdq1yxAADAsDZ9%2BvSDqndPjjjiiLHFYnFKPp%2B%2FWH%2B6KWXb4zI52f3kxOGdqFarqVyqpvLTiul1Ojnp9nvXz8%2BkbGvl38XYbGNy0q%2FJiWvuJtega9E1Wb1r4lrligUAAIa1OXPmjHTT4%2FXsxx9%2FfNEP4KoxekfKzqj4DZOTfjWUDi9ZekJxp8bvSh%2Be54Pz6nRy4k0VPpuyrZWfirHZTi71K5dccwtcg65F16Rr0zXqWuWKBQAAhrXnnnvODeUINz9Tp04dXSwWj1dz%2BXa99pWUPcxMQ9m%2FyYnDZ3n8wo25xvBcN%2Bp1ODmZoJihuFpxd8p2MmNi0v9ccs19xTXoWnRNxh2TEVGrAAAAw35ysoOaoFy5XD62ubn5f%2BufX1Y8lFiKU0tsiIb86mjQJ9Tp5OQNimsUv0ycCl%2FrEkHX3Jddg65F1%2BQL1SoAAMCwd8EFF7yoo6PjaDVGF%2BqfX1Q8yOSkpng2GvJrokGvx8lJj2KmYr5iWeLgxVonJ665L7oGXYuuSa5MAACgLl100UUHqyk6QnGB%2FnmD4oHE9q%2B1Hsi4LBrzmdGo1%2Bvk5LqUHcBI%2FtS2LbVr7gbXoGvRNcmVCQAA1CWvbS8UCofl8%2FlZaozcXPrEcw7Oq625dEN%2BvWJWHU9OZsUYuNHmzlttB3re79pzDboW2aELAADUsxFqiHrUGL1BDVLfZwZ4mLn%2FDzR7Wc4N0aAfpqinHZZGxnt%2BY4zBg%2BROTbmzY1mga8816Fqss8ktAADA8ycnKdthyg9zX6W4K2UPeW9L7LhU6%2BTkjfU2OfEhgWqqD9ev5yu%2BwOSkpt3etkWt3RW1NyPV325vAAAALzg58TkV%2F6r4meLJlC03YXLC5GSX4pmlI%2FXrm9LODRXImf5NTrZErf0sau%2F1TE4AAACTk6whOidlJ3zfoViTsge9OeG7tsmJ7x701tMzA%2B94xzsObW1tPUq%2FVnd7e4jJSb926NoWNbYmau4zUYNMTgAAQN1PTsYrpis%2BrViqWB2NE3dO%2BhcPRWN%2BgZc4ealTvSSPJmIN7e3tE5ubm9%2BSsnNyfk0%2B9PvOyeaotaVRe9OjFpmcAACAup6cdKfsW9t5ijsVa2kga4pHFF9RvEVN%2BlGnnnrqofWQOD4gcNasWU0%2BODCXy71NL31V8Sj5UFOsjZqbl7hzAgAA8LzJyZWK%2F07ZOngax%2F7HY4oFire2t7cf47sJw31SUv154YUXNo8dO%2FYlmpz8lV66KcaCnOh%2FPBk1dyWTEwAAgJ3Lul6n%2BKTi9mgwn0nZsp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8%2FFcwWX6eV3KTv728p7fpp0HNzJJGT7nljwdn60%2F4%2B95e2DlwBzvwuVlf4pjGhoaxkWOFJwzKXu2hG2CAQAAsM%2BN9JkUvb29h3Z1dbX4ToqfK%2FAExU2qH4TWf7MwZcu8HkjZWRfVZ1Gq56IwWRkak5HquSXVZ0tWxWfqz3ahP%2Bv4zP3Zv7JcLk%2Fo6ekpeCI7ffp0T0Z42B0AAAD7x0UXXXSwD9FTc3pkPCzvZV4X609XKHx44y2Knyp%2BqXgsZcuBttL4D5nYGp%2BZP7t7Ff%2Bp%2BHZ8th%2F2Zx0PvU%2F19sCerMakBAAAANi%2F%2FICzl%2B34uQI1qb2%2F9yzKu9SwfigaWT8w%2Fz%2BKx1O25Sx3TobGnZON8Zn5s%2FMD79foM%2F2gP1t%2Fxv6sY5vpXi%2Fj8knvPPQOAACAA8XLdkYpGsaMGZP3GRajR4%2FubmpqOs4PRXvbYb32bv38V%2F03303Zt%2B9eGuTnFthueHBvE%2Fx0fFb%2BzP5Nn%2BGVccL7eT7h3Z%2BxP2t%2F5v7sU3ZuiXOByQkAAAAOuB3nV1TvpHgL2WKxOCWXy53jCYrisyn79v3OlD234KVCT0QT%2FCwTlQM6IdkSn4E%2FizXx2TwQn9Uif3aemOiz%2FMtSqfRyfbZH%2BDOOh905twQAAACDV3WCosnJ4WpqT1JTe3Y%2Bn39nyp5FuS5lzy34%2BQU%2Fi%2BItaddGc8xk4cDEs%2FEZ%2BLPwnZLb4zPyZ%2BVnS94Zn%2BGJ%2Bkx3LOGKiQkAAAAwuHk3Lx%2FcWKlU2ryDk5cAecthH8yn%2BGs%2Ft6D%2F7PqUbTv8c8XDinWJOycHIrwjlw9UXK7475Qtv7vOn5E%2Fq%2FjMTtZn%2BBJNSrrjM23yZ0ymAwAAYLDbcS6KD93zA9J%2BHsENrX52qsndccK8n1vQ7%2B%2FR71frv%2F1ONMWPpJ0HNzJJ2X%2FnlqyPyaGXcH1bn8nnFLP9wLs%2FK8VR%2FuzGjh3b6s%2FSn2kcqDgysZwLAAAAQ8xIby%2Frhra3tzff0dExXg3vn3iCEk3wlfpvvpGyZV6%2FStnuUF5ixEPzA%2Fuw%2BxMx1venbBnXzfosPqPP5B9jYvIn%2Fqz8mfmz49wSAAAADCtz5swZ6UP6%2FNyCv5X3kiE1wu%2FQn7zM6%2FOKb0WjfE%2FKTiH3Uq8tTCz22eTEByp6CZefLblb8RPFNxW%2Bg%2FUBfRZ%2F44fe9dlM8eGa%2Fqz8mZG5AAAAGJa8LMjLvAqFQk9jY%2BPxaoZP8Y5ebowV749G2Yc3%2BlmUFYpnUvZcBBOMvT9Q0Se9eycuL6NbqLhKY%2F6%2BPs%2BWnOLng%2FzZeBlXb2%2FvoWQsAAAAhis%2Fo%2BAHqV%2FU1tbWLK0tLS1daognxQPzr9drl%2Bjnp1P2LIq%2F3V%2BZsuciWOK150u5vBvXupjs%2BUDFb2uMP6WJyd%2FGpORV%2BgyO9Weh18b4s%2FFnlDi3BAAAAHU0UdlxLorvpHipV7lcPlGTk7M8QYlnUTxBqZ6L4sbaz6I8w0Sl38%2BWPBNj5rslfp7nvzwx8bMlnphonM9sb28%2FwUu4%2FBn4rlbi3BIAAADUMzfFXkakJrlHTfMJapr%2Fwsu89KcPp2zLYU9SlqadD8z7TgrPovzx2BJj9HiM2ZIYw%2Fka2w%2FFds5ntLW1%2FV%2Fe6lkTxDEs4QIAAADEO0FVKpVGN8neIcpnasQyLz%2BL8k410h%2FRf3aj4raUHdzouygbmIT80dgQY%2FTLGLMvawyviMMUz4lzSyZprLs85r57FbtxAQAAAHVvZPVcFD%2Fv4CVGDQ0N49REH%2BNGWo31BX5YXr9%2FUf%2FtrSnbzas6Qdn%2BAlFvZ5X0jerExGN0q8fMY%2BcxjAnfMRrfcR5jj3Us5fKzJezKBQAAAPz%2BRMWnj3uZUVdXV4ufh1BDPVXN9YXRZF%2Bbst28fqq4L2Xb4roZX52yszu8Va6XNPl5Cz8I7mcvvMzJz2FsG0ITmOr%2F57b4f98S7%2BXZeG%2Fr470%2BEe99RYzFfTE2t3isYswu9Bh6LD2mHts44Z0JCQAAANAfvpviZUc%2Bpdzf%2BvvgRj%2FIrT99QOEH5r3U69uKH6TsEMefR3P%2B65Sdk7Iq7TzQcWPKzvnYOgQmKNX%2Fv63x%2F7wx3sPaeE%2B%2Fjfd4X7zn%2F4wx%2BHaMyZUaJ59b8rces7j7dJTHMk53BwAAAFALHwDo5yHK5XJJTfbhhUJhcpyLcraa7TfptYv1n71P8UnFdSk7ad5Nuh8Avytlu3z5bsLvUraVbnWCMpjvoPS9Y1KdmKyL9%2FBovKe74j3%2BIN6z3%2FsnfWaJx8Rj4zHyWHnMPHYeQ48lhyoCAAAAe8aNtL%2Fpb2hpaSmo6a4%2Bi3K0d%2FVS4%2F1nPhvFu0%2Fp35cp5il858A7U%2F04ZXcVvFuV7zSsSdndh%2Bo2xNsG8eSkupRrU%2Fw%2Fr4n38Kt4Tz%2FWWHzH7zXe82VxkOLrPSYeG4%2BRx8pj5rHzGMZYMjkBAAAA9tKO8zf8vER3d%2FfosWPHdra3tx9TLBZf6YME1ZC%2FQ434BxVXKRbo399P2d2FexXLU%2FZchu9A%2BJmNLUNgcrIl7Tw8cXW8B7%2BXJX5vfo%2FxXj%2Fo9%2B4x8Fh4TDw2HqPYHphzSwAAAICBMmfOnFHHHXfc6KOPPnp8R0fHS9WUn6Ym%2FS1q0N%2Fr0%2BUV3jp3keL2lC2B8vMZPvPDD5BvHEKTk43x%2F%2Fx4vIe7%2FJ783vwe472%2B1%2B%2FdY%2BCxmDBhwniPjceITAGAoeX%2FAzlhsRrWr4lEAAAAAElFTkSuQmCC%29%3Bbackground%2Dcolor%3A%23fff7bc%7Ddiv%2Eexplore%7Bbackground%2Dimage%3Aurl%28data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAQAAABecRxxAAAzmElEQVR42u2deaBO1RrGn%2B84I5nJmIsIGcs8ZczQlbpdQzJGikohoYvKmMyaCCEkihTpRooodaWINCiZ55mMxznf%2FeOkDOew37X3%2FvZaez%2B%2F9fc5e613WN%2Fea70DQAghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBASTBKQH2VRDy3wKAZgPGZhMT7FF1iD7%2FETtmAXDuA4ziAJSTiD4ziAXdiCn%2FA91uALfIrFmIVxGICuaIF6KIv8iKdQCdGTWBTBneiMYZiN1diBUwi7ME5hO1ZjNoaiM%2BqjCGIpeEK8IQ5l0QaDMAOrsBPJrjj89UYydmIlZmAg2qAMtwNC3CWE%2FLgLffAWNiLRE5e%2F1kjEBsxCHzRGPoSoLEKccvui6ICXsAJHtHP6tMZhrMBLaI8i3AoIUX3Jr4peWIADxrh9amM%2F3sNTqMIPBEKskR13YzhW4azRjn%2FlOIOVeAFNkI0KJiQ1YlALL2C9r9w%2BtfEdhqEmoqlwQlK4CZ3xHk743vUvHccwD52Qj8onQf7Kr4uR%2BCFQjn%2Fl2IAXUYcnBCRort8Ub%2BFkoF3%2F0nECM9EEcTQM4ndi8U%2B8ieN0%2BlQ%2FC6ahEWJoJMSfh3wN8YZBd%2FnexRBMxp08JCT%2BIYQamIRDdG7BOIiJqMYwImI6OdATP9KhFccmdEd2GhExkSjUwxycoxvbHGcxG3X4LkBMIjeewW90XgfHr%2BiDXDQsov%2F3fn28p2Gunh9GIuajHt8FiK7Eoh2%2Bp6O6PNahDa8KiW5kQR%2FspntGaOxEL2Sm0RE9KIhxjOrzIHpwNArQ%2BIi3VMRcJGntKOewBxuwHPMwCeMxAkMwAH3QA4%2FiIbRFS7REWzyER9EDffAshmAExmMS5mE5NmKP5rcYFzAbt9MIiTdUxTLtnP0XLMFE9EVrNER5FERGm4dmIWREQVRAQ7RBX7yOJdis3abwMSrRGElkKY%2FFmrwIf4Ep6IfWqIa8iIrI2qOQF9XRGv3xBr7U5ONnIcrRKElkKIMFnhp7En7CXPRHUxTU4FIsCoXQFP3xDn72%2BGNoHkrSOIm7lMBcj8w7GRswAQ%2BiPBK0lU4CyqMjJmKjZ4XK38ItNFLiDkUww4PfuFP4DIPRCFmMklUWNMYQLMdpD96PpqEQjZU4S1aMi3B832G8iydRwfCglxhURHfMw9GIyu48Rhu2YRKNicajEUzmTcYaDEQVpPOZDKthMNZGcBM4gId9JkPiCfWxMWI58LPQGjl9Lc0b0RazI7adrkdtGjCx89X%2FfkQM9WcMQsUIXeLpQDpUxhBsjohs56MwDZnIyYQROO%2B6ef6GoSgT0Ay3EMrhBfwegfCoYchIgyYS02yL%2FS6b5Va8iNuZ3IoQKmAktrss7b1oRVkTaxTCEpePp8agEs3xim2gCsa5fDawmMlD5Ppfpz1wykUjXIpmbIORJnFo6Wp%2BxR%2FoxpsBkjZlsMY149uNIQxQscTNGIa9runhKwYMk9SIx1CXQn2SsAhNWeleRAzuxWKX4i7P43l2ISKXcwd%2BccXYjmAY8lO8ityE4Tjmil5%2BRDWKl6SQgJddMbLf0Q03ULw2yYgnsc2ViMuxiKd4SVlscsG8vkYzHjc5RjRa4BtXehOXonCDTBR6Ol7fJhnvoTov%2BRwnhDuw0IW2I92oq6CSF0sdP%2B6bjqIUrIsUx0zHaw18xJYjQeReh8NOkjEbxYySQGZUx31ojpqGldh2vijLAfyTDhEkMuB1x8tRmfQ1mQ6t8Pkll2xJ%2BBytjDqzKOt4mtYrGldaIg4bj7NXfotwm1HrL43vUl3Ht4YdiVXARw5fDTJEKAC0cbRM1SeobNj6G19j%2FX%2BgoWGrqYbPHC2%2F1pIO4mdiHb3x%2Fxl3GSeBajh7nVNx0za0EJriVwe1OoadB%2F1KXnzpmJkcQ3cDk3oyYed1V7bNwOClODyNE47pdgVvBfxIDccSTJIwwdDCXUMsre85I9eWC5MduyDcjSp0GD8RwhOOJfp8ijKGSiEeRyyt8JCxCcu34XPHEoa6MkDIL2TAWw6ZxTbca7BZNLa8zvoGb%2FXNLHzmWBvTeTHoB%2FJhnUMv%2FmMMT%2B0ZZHmtzxq9zox42aGPgW%2BQmw5kNmUc%2Bj3Y4IMOtG9aXu1U49daDT869M7H2ACDaejI2fA59PNFGa95llc8xwerjcNzjlR1Poa6dCQz6YwLDhjAShT3iTyCtQEAQEmsdsACEtGezmQaURjmgOpPoIuP2nUEbwMAovAYTjpgCQN5J2AS8ZjjgNJXoaCvpBLEDQAACjvyHjCDdQRNITu%2BsK3uC%2Bjnu4o%2BQd0AgGg850CB0eXISufSn%2Fz42YGGXZV8KJngbgAAUM2BJmSbkJcOpjc3Y6ttNU%2FxaSnPYG8AQCbBRWhaY4vPPgt9Rgnstl3G%2B9%2B%2BlU7QNwAAuN92mfGduIWOpiflcMB2Hpifa%2FhzAwCAArZPiPahNJ1NPyrjqE3FjvJ59x5uACnEYLxNSzmMCnQ4vahl87b3jwDUguEG8Dd260KdQA06nT40whlb6twciIjv2ZblMTMA0iiLLbZs5jTupOPpwT02Y77fN6wstipjLUtkRCDkkRWLbeaI3E3n0%2BHX3477J%2BM%2FPgr2vTbtLEulVUAkEoXnbW4BfAvw%2FNvfzsv%2FMeOq4Nohl8XkqERkD5BUmtjKGD2NmnRC76hs6%2BhvG24NmLzesSSXtwImFXs1I07wRsArytm6%2BAtitZfiFj6XzqJI4OSS11bVqMOMC%2FCCErbCft5HhkBKrcd1JfN4IOWS0daB4D5GB0aawraCfsf5LtPPKqHr3AWMCmzeezQm2AoQZo5ABLnJRspPMp4MtOxC6I5zaZxpdwt02YsQetlKE2KmYITIbiPh9zTuoQBxC96%2Bok9CImajKAWDZjZulX5kvYBIEI9Vyio6juoU4J%2FkwP14EW9iJkagVaAu%2Fq6NnaDy5awa5DZReNvGaW15CpBcFztpZTNZO9Bdhtk4qS1F8RFLlLVxwzSQ4nOPzspq2cEvXCKguI1bJhYRd4kGynX%2Bf8M%2FKD4iorDyTVMi6lF8zlNGOWZ7E%2FJQfESMennZY4ELMnedfMrx2uuQk%2BIjStyIDcp5Jmwr6iAZlGO1NyEHxUeUyaX8FvANm4s7RQhvKX%2F78%2BWf2P0QUD0LmMYrQWd4Qvnkn0d%2FxD7qeSddKDz71LgiaNX6vT8v%2FogzFFeMCziPKhSePfJgr5LoDzHshziIau2JXchF4akTq9jE4TiDfonDVFHMEVju824TrvKSYsYfU36I89TCWcWGM0SJNor5%2Fkz4Je7QXPEwsAVFJ6esYu%2BWJyg64hq9FftOlaToZGTAL4rFvghxjxAmKgakMSxIxOuKpT7TUXTEVaLxXyXbfIWis869isGXGSg64joZsV7JPptQdNbIi0NMvyAakw%2B7FCz0AGMCrBCFpUzAJJpTVikq4CNmB1yfHkpXfw0pOBJRmip9BjxOwV1vZz2nINZ%2BFByJOIMVLPUsQ9SvRQI2KQj1g8A0%2BCY6kQ4fK1jrBsRTdGnxsoJANyMzBUc8IZtSrYCxFFzq3MEYK2IYtyl0EkpmrkpqxCvF%2FjHKmnhLe6UmYuwgdBVDFAQ5mmIjnvOqguU%2BT7FdThmFuj8rmGlNNCAWXynUCuKn6yWkwxqxCI8gPwVHtKAgjovt9yvmrfyNSvDPvyk2og2tGRSkTiGcEgvvDYqNaIW8dP1JFKDYgBCWiEX3K26g4IhWZME2sR0vZm4A0FYstguoRLER7aiJJLEttwq60DJhPyP%2FiU%2BQZwfsCfq77AixyFbx9JRoSgz%2BJ7bnoUEWWBGcF4rrBNt9Ea0t%2BpQ4P7BQcMX1PrutEZ%2FRXWzT7wZVVPXFolrJxF%2BiOSpBbbWCKKho%2FCAU0zkUo30R7ZGHta8P4rnWozz9Jz5FntjWOWgiyiqu%2FLsBsbQsYgTx%2BFlcMThgZW3GCQWUxOAfYhA1xe8AI4MkniLir6Qx2q2hBLpiLKZgPB5HWcTyeJJcxgRxgnDB4Ahnhrjph149f5pg7RUz%2FAVr0R1ZaPfkTzJjNxPcUqe4OGb6Xo1mn%2F4aeV%2BnMAnlaPsEANBKnONSJBiCmSMUzKca5UxlwKrrzvdLtGbNN4IQvhRa%2BswgiKWM%2BPivtEazn275VHcYs70DT0VxveAS%2FhfKAqFQJmg09%2BrCrWs%2BajPjO9BMF1r7XL8LpLy46WdOjWb%2FvkLhp414mG3LA0te%2FCG0lzL%2BFshioTh6aDT3zAqVi1PGUYxCYXpDIPmP0Fbe97MwqgqF8YtW0X93K7r%2Fxe%2B7RajPD4LAES9uH1bBv8JYJhTFXVrNvo%2BtDSBl%2FIDOSKBXBIp%2FC23kI78KQnomulSz%2BQ93YAMII4xDGMaeBgEiZOHq%2BPLh01gS6f2%2FbtH%2Fzzu0AYQRRiLeRmX6RkCoxXgAoKAw%2Fm%2BRdito7%2BAGkDK%2BRgu2NwsEy4Q%2FDz58QxwrdI7btFtBYcc3gJQ8hx7IRA%2FxOdLj7xF%2BE0AWnBQJYJ6Ga4i9KgXIqXECoxk36HNkF%2BDH%2Ffaj0Ft4ZaZj79QofOvSBpCSCjKHNQ98jDQErqefFh8rTI2crek6uru4AVwse3o3Kwv4FFkQ%2FA7E%2BGfp7YQx9LoW%2F8yC065vAWH8hE7MJvQh0jS4B%2Fyy8BC%2BFy18usZrmRyBDSCMMPbiGWSlz%2FiMuSIb%2BNYvcaP1hd%2F%2FRTVeS7kIbQBhhPEHxuImeo2PKCW0gLr%2BWPZ7okUv0Hw1qyO4BYSRiGlByBEPDP8NXs%2Bg3MIcuuqar6d1RDeAi5tiFfpOAN%2BGz%2BNG85fcVxgbp%2Ft3TxwOeLAFhLEcjZhL6IPzsPUirT9t%2BoKjsEW04GYGrGmYJxtAGGF8h2a8JDScNsKEeMM3%2FXqi5f5uRI%2B0AuKqxs5eErbz0w1x4IjBriA1DpVlAHYzZFXvebgBhBHGVnRBPH3JUHqJdD3L5KXmwDnBUo%2FgBkPWVcfjDSCMMPagB9LTmwwkM04I9HwW2cxdak%2BRSQ8z6ChnowZbQBj78bQxmyb5m9G%2BfC9OxU1%2BEgUAm5QD%2FYgWG0AYYRxEX2SkTxlFIWFfbEMPAmsYXgDkWmTAUW22gDAOoz9rChjFUpF%2BDa0d9bpokU19%2FRp3AckubwJH0I9vAsbQXKTbV0xcYgwOCZa427jSWIVFLp2MBnhJ3CRCXm60L88EjCAOBwV63WfE9fgVNBSZ7hADlbhItMLxALLgaex0fRPozU5EBjDK72lBb4gWWMhAFd4pzO3L8ueb0f1Y4%2FImsA9PsKKA5hQXaXSiacuLFR2SLTVShSFsEimx1yV%2FWQPvu3wqsAOdGTGoNStFdz2GfSLfJTLW5oaqsLNolduvUGIxTMQZVzeB39DGxK%2FHgNBWpMs7zVrcm4KlHdCqA6CE9DgsUmKLq%2F5DTjwnOg6Sjw1owixCLUnAMYEep5i0tHgcFyxtrMFKlGUGpp7snB5dhTmT0rEKNehvGjJBdM1r0M9k0yCEOQAA8uOCI%2BVOotHC1aLjYXyI0vQ4zagt0mBjcxb2liizzewX1LdFSnzvmoeKdbHExS0gGVPZlFQr0mGvT4rlXkacqAvQi4YrsbLDJU9vxzsu3g%2BcwQvITM%2FThpcEujtmyq1OXZFJljdeiV%2BL1vuahf9YFJNx3sXMgSd4QagJsnyZmmYsaqToosr8E%2BoWwt%2FgnJb%2Baz6MdjF0eDPu4d2ABkSJ6gMZkjD%2Fg2BJQ32gxGhsFznfs5b%2Fc3YMEl0VycYKH7x9mc8YgcbWmbCgm0RGWMYXSpQVPjmABMH%2FzoxnXKtDnIxpyEMfNOgMyQBtSaLjfvbJa2gmUZGnMLoI%2F396dBe2V7U%2BTuIZ1hf0kBC2CbTVQf8FzRcsZ5Bv1CirDvCbQoBuPB51LZPwd%2FyLJwKeMUKgqbm6LyZGFANY0TdK%2FIcwIEit%2F0EcHhGeN0gSsorTFz3hDoGWjuqeFFRLlOHkpyYXsgLo3yj%2F4sbiIdFLo6QP4UjWFNL%2BR7Oa3ot5ISgVz6%2BiktDd6th4Viw6u%2FQmsBst%2BDGg9WfzYL2XIul81tpnalwpcrWPbT4tFg%2B7tAl8gmL0yYjykEA7a3VeSHbRFVROn6nxbqGjlbP9xDg8hj0ubAHnMYg3AxEkv8hvsvjDBdb4To1Roj4IYcxx5KkJ6OlKRYHNqEfPjBiSRjMaZwUOFyxjoA%2FV2EnkYkko4tBzM6KfKxGDM5CDvhkRJFeBGhfQXSVYRlUfqjFOlN4ZxusOPjsbXsBpF%2FoOPcBDwQggSaBbrq%2F5nxVkpPmzVt0zIvc6h7yOPj0PXnYhi3Axqwi4Tqwghf60rrmcVQVG9a5PFZlVmME30vEZFBaVY7E2jqMT3wNcRtJlopKeS5D0PX%2FSt4ocK4zEd6P582342PFNYAnfA1ylj0AXPfRcwgLBEir4VpE3IVHkWM%2B7NI96jtcYPIa2fA9wDUlpkHk6LiAkSFo95euKNNOETT3dCr%2BNQmvHQ4Xe472AS8TjnGUt7NVxIy4qMKPPfK3KEkKn6u2qWT0tijS3YnwN6a2usFqghcL6Tb%2BDf%2BKZbfO%2ByKX2iwqEyMmJV4S5itcbo9l50AUkpfTa6jd9SX3TRj5XZRWhQ3WLwFvJYke3gG8dC2IiF7nX7GY6KwTRzP4vTL1C5E67IvKL2lgYqnztcSKVRmfEDjcKpP%2BpfkeARwTd6vxPI6E7dYnIrGLwpKhr8%2FXGeGO7OurJL4IITc2OASX5TBMCoMoQvhN2Do6UK%2BXEJAcbj3yB3PRbx5gqkLxmcm8smPqDgVBmM6ErPRTBuZXHVw6WEKlAz3WILgK5N9Br6pI4pmBUo5cmB%2F8e0diIKHR0LIn4DJrTdx2hmkDqvfSauvX48ySXL730oZ3QkSL9ZpQNrzn2MdCT3usAmUSp2lphvaDBT4FRZwy2avwOkEJlrHNoCxjGMGEHsG4xWnUJihXEv88NkDq7Cp2okwdzjEYPh3oQDqX%2F2uYDQSq5RuH0ZQRm0j9A6owXVuzb6tG12j%2FwIT8EtGCwQNol9Zl2G8G0mwZKoT2ELtTZo3mG0NKRDoQ8DrRHc4GsW%2Bkz7UGCaRcMlELTY7%2Bm8QBXkx0zHbgRqEgvtkFxV7pMu84MQQBp0I6Knha6UFdPZ9vEdpnx3QwNsnUic8aypKfpM%2B1VgsixoHEDDgkdyNtr0qyC7TwtHTNAWJ21JhYHtd61dkoAVfqM0IG8L%2Fj0L5vnAWPpx8rMsizlbbpMOU4QTtIvgCrNJEiUSqkPcIPnc84lKlLJw0DnsH4PcEGXTsFFAtwP0Br9he7zjAZzDqGr4Hv06rOem%2BnLSkiayxTSY8p3%2Bqe5sSbvAEeRVYt5l8IPylvAWp4EKCFpEVJHjyl3Fkw5b0DV2s%2FQqLr0mKK8BYykNytQWCDhjnpMeZjlCZ9FVEDVmgmHRc5zCrm0mXt75U%2BBBvRnMTFIsizfQXpMebblCf8SYMVK7wJe0mju5YRpTRfHHmSnR4uxXsp9ph4Ttl7OeEmA1ZpRGA9wXpcjHgBADqxU2gLmM0dQjPV6kqv0mPAOyxOeGGjF9hY6z0ytZh8neNO7dLShRwux3lhmqx4TPmV5wn0DrdgM2CdynWSU1Wr%2B6fCOUkMx9hSU8ZzgslUDEhgFYJknhM7zkWbzjxd1r7k4PuZngIiOAtlqcNUqqQcc9KZS8YKgaa1uev8it3gFGl1XGUJTgWTzeD%2FdsuwJLKCzOJxGt4vTioImln9%2FBuSjX1tGUhq0tPfTrcdaAAJi8JvQeR7Qbg0PK7wDLOJngGWKCeRa2%2FvpthBMNyO1K6qelJLzFa%2FZCkKCjLW%2Fx%2F1UvUWyC6TazPvpPiooY8hfASAdNghdp5d2a7hB0MTq4jjAoCDLFmI9u%2FYR76c7QBAXRgCgifgLOod2ayincBLwJlVvEeshYxqk149nU1DxK%2FQXQtd5WcNVdFf4DKhL5VvC%2BvvVGO8na%2F17cDk1%2Byc1hI5zAcW1W0MUlog3gM3anWfoyZcm9QdabHmy86jZv5DW4f9QwzXkFWY4hhHGQKreAgtNsotPLU92kuIT4nEXBuFNzEt1zMZYtNMoedYapcVd%2BZwOosqN9hiL2ZiL8eigGFDSQrwBnMMtPnHSvHgQ4zE3DaucicG4S%2Fl9x3o2wCfeC8L69%2Bx4hf%2BeCUMtVdO5gHdRwigDmip0nR8dbAVVEvOvyDpPwnzcqvCf5oi3gKU%2BuAsqjQWWsvaPYLDS1fcEy9Jc6b0w1lie7Ajx%2F64uCjw9j54GGVd%2BcZmNbg4dQfZJo5NjInqJ5ZddmOBkfsHQEP4j6IQZxg5UFT9jnOX%2F%2FrX3Avne8mSHCP%2FzXTgrNq5xBm0BLwjXdtSB68AQXr3OfYNUfv9SaB2S0WD3nyhe71k0Ej5lhEk9gn%2ByPNkBwtes00r5592NMaYs4kO0120%2Fs48LDT7lnwEvGrsBPKNkk38IP6%2Bslwbf5L1ItliebB%2FBf02n3LfepGMmaXpwMm63%2Be2faOFDqpjwv94o3sjkz9Dl2z9R0Sq%2FESV1WQ%2Bu%2B817oexypeNNKxtNKd42xqBisVm4ttW2sgPnW3rGHPH%2FbSPWkZk1AhbYsEpJ1H5vwQmD51hvIvWo4L9%2BbkPUiRqGzqbFveLVPaj8rNwW681eQE7xl%2FHH4nXcY5z75xXU6716LBM8yXqU5X7vxXLc8mQfsvw%2FM9sStUmZZyFBCciUcVC5aUh7F1OQCwkKw118eY0zbAN40JZNJiKD5Sd1FRwMe471y6y2lv9ndZv9aU06ZCovDgl6TfFJY11t6dFLrKXehm0A421aZWXLT7LeHuy092Kx%2Flvd0vL%2FvM%2BmqM3KO5smPgqspPQc61V9VeoRx4jTnE8it1F6mmvTKq1%2F9Fg%2FU0ny5wbQ3KaoZxplWHlwUri%2BdUp9Yee6LL9qYj29wQ3A%2FA3AjU%2BAmjZFPQJmIb9d7qHwlPGuy2%2By%2BF3mtgB9Alh%2FbzPqE0DHQ8BWhm0A8fhdHFpSQPyUDq7LL4c4IuAzg64DO%2FAQMDV0vAY0r%2FiUPKD2Q7Hr5LG4rdqRn7xgaFODPtXs%2FCwtFTzJqGtA%2FQKBZsM8QlgqXmdL8VPmuy6%2FdILksIsNY2OM0dJ8G1Z5n%2BA5RgUCuRUK%2FJ1yKHBRmEhxcZipvMzmrRaeYVd%2BlcUa62aMjm5VDgX%2B2r%2BhwNaTgZ4V%2Fd9S4tAS08zpSkZG4LajVwTkJ610cAiZjdFRLyWbPCHMfTAqGci9dOBGCunAow0uN5ERu8XrvVv8qfGy6%2FLLJTgYThlDDfpUe1mso9OoL3yKUenAbhYEqYJtopf%2FboZXm2kpNq494sDgEHrivMvy6yl2kXwGbQFpyS%2F1sUWhIZ5RBUHcLQl2A56zVCU9EbMN%2Ffa%2F3Lg%2BEW8BsxSeUwxzcMFF%2BcWKG4dMMUpPV8svrVOa%2Fkiv8P%2BNKgnmflHQWNTHs5iKOamOmRiBVr7pOlNM9OuSMv6t9KSceAAjMdMl%2Bf1TuIYklDRMUxfll7pVTsUA1FW%2B35huUlFQlgV3lkHiDeCghjH18gThhVT9XxhVFpyNQZwlHr%2BKt4CPNDz7KCkOm6lG5f%2BJUY1BrB9YbKRmLVFP4aLpcQ3XMUG4hpVsHvsnRrUGY3NQ55mhUHm2jHaruBEnhKtoTNUDpjUH7Sq4puMOb40cOCjeAn4SJJtEir7CNay3VfHQLxjWHlzSHiojtWuRB5TKoOi2wSaIGruoFSPzH9ldKjWqwRdrQWrXIiHB7YpKwnWkaC9cwa9KpU78RTGBvGp7P92ygulWoGdbJr84oDaMs9pJOB3WC9fQKfCal1RWKq2DoXrX4dbfdFJ4B9ipXZ%2FkO4Ur2G5ctWCnaSqQVh7vp5sgmG4berXoM2CJwhawWrkptVtIw5sfC7jeOwpkFavDhK2n7falV4u4CccUtoC5SKfVKsoL579XKX7ePzwnSDPWgu0RbG4ZNNop1kTS6zVa2j60V6B1bj0TYKseE15tecJL6NHiz4D3lLaAleL2Xm5SRFhJ54CGMQ2Rw3qvqFV6TNh6w4nN9GgxObBXaQvYhnIarUIaFtw7wBq3%2FkatSf%2BLoYJYQEZ6yWmoWIfuNNpps4a8OC0sExbUoLEYQRLVID2m3Fmg2Lz0ZwXGKNeinaLNgdqLwpk%2FE1BdF45Ip2hHqS%2BYcnV6swJxyjWSw%2FhBk1Ib2YSBTYeRKZC6lkTW1tHliMf6lFvTm5UoKs6s%2B3ucQVctsgT6C%2BfdL5Ca7mReaH2sIHupP31ZkRbKG0AYYSzSIEIwozDH8XAgzwGGWJbPBX3yJqznfL1BT1bGXnPKA7jX8xVIq%2Br3CaCWZ5kWBQAAKy1P%2Bkv6sY03rS9sbQFhzBAXEXeW9MIrzYMBjAf41sQSezMEwYu8CFQnt0LrkMvHbvzT0xV0E873qYBpOFrQDGeqPtMeKFBpIfqxDSrgjM0tIIwZHhZRjxOWCNkXsLyA4gLZDNBn2m182Q5aT5rb3gDC2I8Wnt0LdBXO9clAaVdy1Hu%2FPtMuI5g27wHs8pQDW0AYC3GTR%2B8AO4QfLUGqDzBEIJlbdTqesp7s8Q492DbDHNkCTuJJTy6SHhHO8%2BEAafYDQVi9VsXTNlie%2BM%2F0X9uEHNoCwvgOlTz4udgumuOWANUJ3GpSX%2BBLsX57mYQEerAD9HRoC0jGa8gW4bk%2FLJxjUCpJZRLVgNaKPoKpl6f3OnQceMahTeAgOkb0elb6DrApIJfH1cy9IG0smHpH%2Bq5DVLQdF%2FD3%2BCqiG3MX4ezuC4Q%2BJVJpoNfU8wmmPpGe6xh5bEcHXvoxMClidYTisEs0t28D0VVqmkAimnWEDuEwm4R6QozNHIHLx1E8odzVXsbjwpk1CIAuNwsyO7TbEFcIfmmy0G8dpYWNZOGrx49oFIE5x2OPaFaf%2Bl6LNwqksUy%2F6b%2FELrAeUkSQRGJlLEYJ1%2BfcQzinSj7X4b8Eshir3%2FQlXeCG0GNd%2BKoe7egWcAGvuHwikEFYH2C%2BzzU4yuyLUUldoOX0V1dooFhBOK1xHL1d7TPUT3hIWdzX2vvK7JS6EPYL6tXG0FtdIYdiH4Fr9epr49otfGZh5yM%2Fl5NJwHnLctij552IxPQq0ldd24jbKfQVvl7AcD2XZjtENI%2FzyO9bvdUUyOFdPZcgyVLrTk91kZuU2oper6vTba68sZwSzWK0b3XW13zvqSJYwjx6qcvvAQ85%2Fh4Qxmzc7PhMxwozGP16hfyh%2Be%2FPsYLY9CMByvDy7j1gseNbQCJedbgnfX7Bt69%2FC4XG4Q%2FLEjil7wnaSoEiq9FDI%2FAe0BqHHN8ETmO4o%2FmDb4ievseXBUIk7UA%2B03cZLwiWMZj%2BGRFyCEq2Wh%2FH0M%2Bxqv3FBH0l%2FJpMNsofntNEsIxv6JsRoz5%2Bc2ETOIinHCrZOU8Yquy%2F5OAfBOtvpO8ysokUeSM9M2IkYJDwW9va2IvHHXglryB8ahPfndZIwqEy67wUSRPLtvTLiFIMn7iwBYSxA10Qa3Nuy0RP%2FNxnmpFUSFqj91Iktereok9G%2FFCwpYMlRC6PF3zY1ibQINCJQZIQukF6L0USz3QI6eiTEScjRghqOEvGNnRW3gRCWCd61ts%2B0kisKJm7qt6LiRZFd1emP3pCcRciBS%2B%2BCXRRPBNoJcxVLOAbbdQWdUzW%2FkdTcqLLtGDvPgbuwRaXNoFd6KZQ%2BTka20RPGekbXYzy15tPJ8FyNgei0puuxKEPTrq0CexFT3FnX1nj0OOOxSF4S5SoU1J7%2FReUX6TGcvRDT8mNN4RhOJIznn6iyP0MgrqS%2FukaWFW05lwmLGmDYEEv0Ac9pxw%2Bc2kLCOM4hgrqCg0W%2Fe%2BtvjhEHieqjWwELwqW9Ds%2FArQ4EbgbP7u2CZzCOIuNSHPhnOg%2FN%2FPBB4DkWnaoGYuqI1JiBfqfFsTgMRxwbRM4j6koZmEWk0X%2FdbXxUq8pWm8NMxYlu9ccSd%2FThkwYgtOubQLJmHfd7b6E8H%2BaXlnqFVHPBmNS6GeKbo75EaAT%2BTAZSa5tAmEsQ4NranyR6L%2FNMlrW6bBPsNap5iysiUiJVeh1mlECC1zcAsJYh1Zp%2FprVEhYoyWuwnGUfyw3NWVicKB5wHD1OQ6ric1c3ga3olmqkQAhrRf%2FH5GCy10WXqkZV0p4mWloc%2FU1DQmgkyu6Uj8MYnMrNdmthVYIEQ%2BWbXlS1cZJZi2ssUmJLepumRKEFfnF1EziLyVe0IYsVdg7uZKhs24tWWd%2BsxcXgiNmtDslfRONBYZy%2BfCxCrUuOBvuK%2FnajocfIksbuB8wrojtFpMSb6Wean%2Bo8JuzmKx9r0frP79xswm4B9QyU6K2iFU4wb4F3ihY4jD6mPQnoLmj%2FpppJ2BfZALwq%2BqsPDJTmGNEKa5v44ijp%2FbqX3QKNIAOeFvb0VQkdfgV3iVKUknVslnmdN6pDIu8wMuthokjt99K7DOEG9Hah28CVLi0LRjItnrSlaHUvm2ko1USLXEzPMmwTcPtNQDKOOFSgPFLIiqAaGvAcwibBIpMsZowRfTaBp11MH5KOzgZJrrBoZevNDZbvLlrocPqUcaRHD%2BzVYgPYYJCbyBqiPm6ueWQX5Xcf9UmRp6CRgMdFZa3cGrUMkVcWUSG2M8hqsnHMDmCRpyASi06utB%2BTDFNazvcWrWqG2YYhy3faxqbhBhON1qIed06PJCNKhccKW7PUNNsoQvhVtNwW9COjiUJT%2FM%2BzLcCEklntRCv6yfxqGX1EC17D8iDGE0Jdl7oQXm%2Fs1z6vNCQqmRvGU%2BabQy5hI6o76EG%2BoALmuVZwPO3xgOZSkfVAPC%2BoqKwx830f101SpxgmC%2Bv82h1faC6RpaLVvOMPM6gnVGJxeo6PyIPhosIXdkdZjWVRVriW2v4wAWnn15n0Gp%2BRCb2ERT7Uh86Vc%2BaJVrLWP%2BdhbYSJICXoM74jFu2wMQIbwClRO7JIUk64kvv9o%2FwY4f4%2Fl%2F7iS0JoGIH7AV3DyRYKG637Kiaml1CJZegtvqUcZgpvhsI%2BeHWuJFxFd38pPbOoW1AY79NPfE0%2BDMdRlzaAbxCr4YqXiNZwzH95MaOFamTPQL9zAx53JX8gWcMm2jWEa%2FBhZmwBXBCJ4CN6SABIh3uwwvEtoLl261wuDADK50dlzxaqsSr9IyDcjhk47%2BAG8Kxm66srnP90f6q5vFAMnzEvIEDkwUDH6guN0WplIawWzr%2B0X5W8RCiIpvSLQBGPDljvwAagV7%2FAlsLZL%2FKvgqVXIb%2Bya2DgCOEOzLPZoLydRutJwHbh7G%2Fzs3oXCoXRix4RSP6B4aLmcpcPnQqDDBDOfb6%2FFSsNhzyh4ZUOiQzp0Unpg2C5RmvIL2xyloxSflfrPKE6J9MTAv1BUANzhRfIdTWa%2Fyyhtb%2Ftf5WWFJaJSPb3NxGxQD4MtFx8%2FA2N5l1FXNWwWBDUKY0H%2BJzXgQSxuN9CQ%2B3PkaDNjKPE1RGnB0OVxcRnvM1o%2FwQAUBavX%2BOr%2Bk2N3B9oK7TyRBQOihqnCUWzky1DyF9kQQ98j21X2MjXaKTVLLOKOyZNCo4KC4kDP1%2Bm3ZPLXq%2FjURE98AqmYhy64BbtZjhZaOHnjOhq4BijxRle1Wj1xBjqiC8vA9YZM4u4ufSPjAokhpAgbIcTxr7gfeQ%2BIt4jn6NlESN4QWzbHYMnpHT4Xiik87iVtkW0p5wwcCmMtYgKoqBqi%2FfJ1cEUFDGIaKwV23WNoAprvlhUj9HCiNY8JbbpOcEVVmFx46iTwQmWIAZSDKeFFn0mWNd%2FVzJM4TMgmnZGtCRW4fV%2FYLBFllEcL8XbAKIr8tP%2FXcgQdKG1EgstiUFBRENqK7RDb06xhbBYLLbfkYmCI1qRFTvFdvwB81wBoAD%2BEIvuTYqNaPUz9o7Yhk8gPwWXQjeFwk%2F3U2xEGzooWHAXiu0i6fCVWHzHgn19QjSiCE6K7XcVg9oupaRCZ5gvEEPBEc%2BJxzdi2z2H4hTc5QxUeIkaT7ERz5mkYLn9KbYricOPCoJsQ8ERT%2BmkYLUbtWxg7jnVFO5RT6MsBUc8oyLOKrQvr0zBpc5Yhd10C7JScMQTcmKHgsWOouDSPk7ZoCDQxTxPJR4QjWUK1rqOla2uRSmFV6ownqfgSMQZrmCpZ1CCgrs2KkFBYTSh4EhEuU%2FJTrtScNcjhP8qCPYESlN0JGKUFzb9TBkLGftvhdw4oCDcnchL0ZGIUEAhiT2MfchJ0VmjidLr1Tr2DyIRIDN%2BULLPhhSddV5VEvFiVgsiLhODT5RscyxFJyG9UlxgGK%2FxK4u4SAhvKNnlBsRTeDJKKh2zhPEURUdco5%2BSTZ5g6o8KLZWEzWbixC0eULTI%2Byg6NcYoifsMalF0xHHqi4vYB7Ltp7MHLp8rifwk0y2Iw1RX%2FCRdxoNpO%2BTCbiWxH2WWIHGQ8jiuZIc7ePdvl6oKtYLCCOMAD16IQ5TCYSUbPIeKFJ59HlU8etnNNmLEAYoqxf2FEcZDFJ4ThPCmogJ%2BZ%2BFlYpMCSjn%2FYYQxmcJzigSFnmsp42fcSPERZfLgV0XL%2B5qhP84qYruiIjZwCyDKVrdJ%2Bd2TVucwJRXPYcP4mR8CROnlX%2FXX%2FwgPoN2gHhIVFbKVx4FESFHld87zDERziw6KKgljF%2FdkIqCU8sl%2FGK0pPvcYpKyWAwwNIhYpr3jvz5YfrhPCTGXVHGWAMLFADeXTpjCmMR3dbeKwQlk9J%2Fl19hd58SDGYy7mYjw6IA8F8if1FWP%2BU%2BL%2B2fEnAmRVvpwJ4yyaU4AojQVIukwuSZiPWykYPKCY8ZfS8CsLBRipX68tymoKo3egX9NC%2BE8atymJ6BVwyfS3YVWbkZuOGTkKYqcNZU0IbIpmCBOvKZmXA7sFxCgW%2B0oZ21GAThlZbsE%2BGwr7KKAVhJ%2B5rmR6BlIumRVLfaaMvShCh%2FTiS%2FaIDaWtR74ASizRQhhLscDJpYBioe%2BUcQgl6YzeUBEnbChuV%2BAiAxZYksucgEmlvI2gnzCO43Y6onfUxGkbyjuJuwMkq7xXnPynNS4EqorNfTau%2FcI4hWp0Qm9pYOPiJowwBiNdQCT1oGWZPBAQiUQrdfi99FK5Hh3Qe%2B62uQX8F9kCIafxliUyMhDyyIllNt3%2Fn3Q%2BPbjT1odAGL%2FjtgBIaa5lecwMxPnRDls2c4q%2F%2FnqdBZywpc4zaOd7Gc2zLA3%2FHwM%2BZPOt8Tiq0%2Bl029GP2FJpGK%2F6PJKbG0AKcZhk01IO8eRfR8pgv03FfoWC3AB8vgHcjDU2rWQP7%2F115RZbAcIpr3atuQH4dgMIoQNO2rSQ7Yz605mCttKEUsZbyMwNwIdkxTu2bWMzY%2F51Jy9%2BtK3mbajBDcBn1Lb9dhjGRmb8mUA2GyVD%2Fs6PH4wYbgA%2BIRbDkWzbJpYx398U4mwUDvt7%2FM9nX3tB3QCKKbeVuXRMZbUfs457Bjqg9FPo7qNA4SBuANHoZTNI7GKpT9b6M44Oyn0ELn8PKM0NwFDK4VsHLOAcC32bSj0cc8AAEjHYF33egrUBJGA4Ljig%2FSMsJGsyJZX7u1zZXqym8bKYKfjeNZ06ym29rswSKUYnMpvc%2BMYRUwhjguHxAYMtr3SA0evMiikOafxrtvj0AwmY5pBB7EYrgw%2BD7rK8zrrGrjEKbW3V97l0TGKDb78QQhecd8gsvkRFQ6UQbzFd6oCxERBV8D%2BHtHwWneg2%2FqIKdjlkHGFMN7STzmCLV14mkh%2BzHNPvdlSgw%2FiPXA5ECF4cf%2BA%2FBr4gZrRQBGML0hu3rvR41lZlvysj%2FnLQWfxJNEY7ZiZhbMW%2FjTsRqIqz11zTaeN%2B%2B0Jo6dBNT8oYHtimMQGhJf5w0FxWGXdL3Oga6z%2BB%2Boatpi5WO6jNk7iPDuJ%2FStloLpr6K2NVo9Z%2FaxoXo18bduddA8sd1eMGFKdzBIMEvOKo6YSxGOUNWn8UmmHZJYHSiViK%2BxBl0AoqYYnDGhzLS79g0QQHHDahBShjlAQyoDLuwT2ohAxGzfs2LHJY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CDQINCAQANp%2BmPRDj5kP93YJ%2BmdmYO%2FW7TJ3mH6VaBBoEGgoSOBhptdH1k5yjUINOzvyIUJ58Dd1RQAAAQaBBoEGhBoIE1%2FHNnBB%2BwvBzMZ%2F0H1zRQd3NmjiV4PFtCzAg0CDQINAg0D8kS8jz4%2FOGcSTo%2B1npifBGN6cGgxJhPxveCnwXnBNcFtwUPBixlerx9zHQIN%2BjtyjvsVAABAoEGgQaBBoIG8emOy4NGOLoh5Y2bgfTMk%2BJVF1Ub4jZ4VaBBoEGjoUKDh6sS9dk4DazBLsGzwmeDgGHqo817vgWBq1yLQwUDDxmoKAAACDQINAg0INDD43tiwwwtif9UDA%2B6br1lQbYx19axAg0CDQEOHAg1Xdj3QMJEg4lLB3sX9Tw3X7BGuRaCDgYYN1BSgtX8vhsZP%2BE6hHgAINAg0INBA%2Bb1xQccXxT6oD%2FrumY8F4yyoNkLxVuwwfSvQINAg0NChQMNvBRp6qtOHg1OC1yq6Zl%2Fx%2BSOgg4GGUWoK0Jq%2FDwsEny2CusEVwbNxrn%2B%2F%2BgAg0CDQgEAD5fbFnBamLzlWL%2FTVMyODpyymNsZ%2B%2BlagQaCBjgUazhFo6KteiwQXVXTdnuZ6BBowL%2F404bz3YTUFaOTfgrmC9YJDg4uDJyYy1y%2BlZgAINAg0INBAuX2xn0WxS%2F4TTKUfeuqXKYI%2F65mJ%2Bld8O%2Fj4YN9g8%2BDjwXIxzT9vvIl50%2BwxJLJksHrw6WB08N3g7OD2Qbw9W7wNO7veFWgQaECgQaChh7p9Lhhb8nX7uge%2BQEv%2BZvbKnAeQ%2F7w%2Fc3xuUzwjPS94yFwPgECDQINAg0AD%2BfRE8S3leyyKvWELPdFTz3xPr7zF48G5wV7FdrLBDCXVffJiC8Ngu%2BDE4I4ej%2B90fSvQINBABwMNPxdoGHDtFgz%2BWvK1%2BwvXJNChQMPiagqQ5Vw%2FTfCr4B8J5vqV1RQAgQaBBgQaKK8nVrMg9j9X6YlJ9sva%2BuSNz7NcHexTJPCLUFCN4zFHsFWxfXfcZcQ3ewUaBBoQaEi%2FENWpQEOs3%2FTxb11Z126x69B8rkugI39HRqopQJZz%2FXQJ53rPXgAQaBBoQKCBEnviFAtib7GQvphgr8wSPNrh3igWdnYKZs10fEYE68SHr8%2FFY76jzsBFC3p%2BTCbuzfB6OCaT2iyvVwUaJnCuPxFoGHQNpwquLXEeOdh1CWQ8B54k0ADgRQaBBgAEGgQaBBoEGshjEn1BiOEtvqU3Jtgv53ewHx4Jvtm0oEs43mmDbYON9G4rrr1zMrw23KcJNDQhkCTQkGanhjtL%2FBs7zLUJdODvyOxqCpDtfP9Morl%2BHfUEQKBBoAGBBsrph50FGN7h4WC4%2FnhHr2zRsT4ovh2%2BZTC58UegwX2aQINAQ1cDDbGWiwbPljSXrOHaBDrwd8R9E0C%2B8%2F3Dieb6DdQTAIEGgQYEGiinH24SYHhX6%2BqPt%2FRJ8amJJzoy9n8KPu4zDQg0uE8TaGj8uR4u0JC0ntuVNJec6NoEBBoAqHG%2Bv1ugAQCBBoEGgQaBBvLthQ8ILkzQr%2FXIW3rltA6M%2Be3Fj09BBgQaPJgXaGhNoOFAgYbkNb28hLnksWCo6xNoeaDBrm8A%2Bc73f04012%2BqngAINAg0INBA%2Bl74vuDCBL3qO6f%2F65NPtHysnwp285kRBBoEGgQaBBoEGiZZ0yWC10uYT5ZxfQJt3ulHPQEa%2F6z8v56nAyDQINDgQblAA9X3wYi4kCu8MGFf0Sdv9Mk%2FWjzGPwtmMicg0CDQINDQykDDngINpdT11BLmk%2F3UFmhzME49AbKe788TaABAoEGgQaBBoIE8%2B2ATgYVJukufXLJPS8f2%2FmAtcwECDQINAg2tDjSMFmgopa7LlDCfXKK2QIsDDc%2BqJ0DW832qz6zuqJ4ACDQINCDQQNo%2B%2BJ3AQk9W7nCPzF48fGvhmBY%2FVKc3DyDQINAg0ND6QMPuAg2l1fa6xLV9OhiitkBLAw1j1RMg6%2Fn%2B%2BETz%2FWj1BECgQaABgQbS9cDIkr5%2F3EY%2FtujVGs8HW5gDEGgQaBBo6EygYWuBhtJqu20Jc8r71BYQaACghvn%2BuwINAAg0CDQINAg0kF8PHCSo0Nci%2BLQd7JGlWxZ6uSdY0vWPQINAg14SaBBoSFLbmYNxieu7mdoCmc11XxFoABBg68NX1BMAgQaBBgQaSDP%2BQ4MHBRX6sp3F00a7NJjB9Y9rUqCBzgUaNhVoKLW%2B1yau74HqCmQ2z40WaADoxHz%2FZfezAAg0CDQINAg0kNf4f0xAoW%2FXdaxHVmzR2J0UTObaR6BBoIFOBho2EGgotb7fSFzfX6grINAAQA3z%2FQ4CDQAINAg0CDQINJDX%2BJ8hoDAgi3eoRy5uyZj5IYlAg0ADAg0CDeXV9xOJ6%2FsXdQUEGgCoYb7fLNF8f4h6AiDQINCAQAODH%2Fvie8cvZ7wA%2FUrGx%2FbdjvTIh1sSZtjLNY9Ag0ADnQ80fFSgodT6zp64vo%2BoKyDQAEAN8%2F16ieb7MeoJgECDQAMCDQx%2B7L%2BU8QL0U8HXMz6%2Bx4PJO9AjF7QgzLCz6x2BBoEGBBrCeYwSaCi9xs8mrO9ragpkNsdtI9AA0In5fpRAAwACDQINAg0CDeQz9rdmvAh9dHzT77WMj3GjlvfHoi0IM%2BztWkegQaABgYZ4rh8RaCi9xrclrvHM6gpkNMdtLdAA0In5ftlE8%2F331RMAgQaBBgQaGNy4L5%2F5QvRS8TjPzfgYL2p5j5zQ8DDDN13rCDQINCDQMN65LiXQUHqNf5e4xouqK1R6DU8fQ%2BUjoyWD9473P89d%2FGcEGgQa6FzvzxmsHHwu2Df4UXB68NvgpuCu4P5obPDYeP9z8SLNtcGFwanB4cHuxQsiwQeDadSYDHt%2BkUTz%2FcnqWftYDgsWCtYKtgsOic87zwquCm4O%2FhHnq3%2FFOezh%2BD8X%2F%2Fu%2FxLWT4hnMicFBwY7BOsH7gsnUGRBoEGjwoFyggXLH%2FbiMF6JvGu8418v4OMcF87S0P2YLXmpwmOHnwRDXOgINAg0INAg0NHpuWkpd3%2FFAtlhQ%2FlDwqWCHuLD0zeB78Xp%2B06%2Fe9j8X%2F%2FeDg6%2FE%2F94GwYrBvF34jBpv9M%2BMcQvtHWLP%2FDwuMt4dP6c3rs%2Fr85nggeD64Pz4%2B3K%2FYNMYnp%2B5hTVsZaAhzi0LBB8Ptg%2B%2BMd5iz%2BVxMefu8Rao%2FzXe%2F%2F%2FeuBh0ZeyDnwSHBaPjPLV0l0MwDezxIXEhd8sYWrg6eLqC3xEPBpcG3w02Lv7WGY9SnvEU9w8bBjsF%2BxefQwiOHe9e4fT4t%2BHN%2F%2FmHMYDyteJTnsFnYrClWBwe0fJ6zSXQ0MhxmzzegxShqZ%2FFv09lP9t8NfhbcHbxuzkGJ6YzHln%2BjlogrjPsEnwr3rsWc92vY%2BiuuJe5Iv6mPSfeB40%2FF%2B4f72%2B28TsVgQaBBg%2FKBRqobsynjg%2Bgcl2M3mW8Yx0e%2FDvjY92%2FpT1yYIPDDFd5MI9FQ4EGBBre5VzfJ9DQuLlphQ4vKC0cbBJ8OzgvuCc%2BMC0rpHtffNP2mOALccFiWn3d2B6aNlgzOKDYVa7G31OPx%2BcNP4wPj1cqfos2uK5bND3QEBd7Vgh2DU4JbqkoyP5QcHGc0z5dLBa6VrPp63niW8tFEO6JjH5bPBgX2IsQ1rzGqu8F3d2CHwd%2FKDGU8kjwx%2BCnMdC2UdzZZ0QL6ji9QENj7pmXKT43G1yW0YtZrwd%2FjYGhTwk41NIbQ2N4%2B%2BAYznwu8Rifos4INAg0eFAu0EA1Y75VxovRL779Wo9veOR6vP9o204A8abvnw0NMxTHPYvrHIuGAg0INLzLuY4UaCi9xuclrvGoDtVurrh97ZlxETiXuf1v8U3t4k2kBfR51g%2F0Pxjfor12ALstVL3L3d%2Fi1vNfjm8Mj2hInTdoYqAh%2FPveH%2BwV34B%2FIbPf0sfHgIMAVbU9sWCwT%2FxcRFN%2B698S3459rzF8x3jOH3wpBtiey2Qx9754PN%2BNu9sUi85TVFSP6cb7VNJgpKjFn%2BP552bZht%2FzFMHb78fgUxPmr1djqG%2FbYscs81bpLzEcUUGY91r1RqBBoMGDcoEGqhnza3L%2BVMC7HO%2FCmd%2BYrtGy%2FvhEQ8MMLxdvIrjGEWgQaECgQaChNfeYH2p5vd4fF2f%2B1KD7rbvjA%2BSP%2BWZwFj20bHzj%2FcGG3r%2BPfx9fvOX7nbi4PWfLAw33V9gb9zaoB86PnzqYyvVdSk9MFRfTrm34fFH4fTyXqTo8nrMHe8Yt9Zsybq%2FFQNuvYgBv%2FXh%2FPiRxbbZpQY%2BXbUwDe37uuPPUvS245%2FlV%2FDTFkBbMRSmDNtMM4jiK3RguqHAcH3ZvgUCDQIMH5QINlD%2Fe7838xm61CRz31Rkf86kWSrOwq2scgQaBBgQaJnKuMwk0lF7j2xLXeKkW1mi%2BGGK4swUPw58KTooPZIe6Birroeni5xtubfliy%2F3BL%2BJ3sIvdJ4YLNEzy%2BGaI33b%2Ba8PH%2Fpm4M8z7XfNJ%2BmLeGBZ6uoXzxJNxR885OjSeK8fdnF5r0Tg%2BE4M2Syaq0WcEFibpJw3q%2BWInpzNa1vPj74S2Q5M%2Fm5u4HgsN4N%2B%2FQHB2TeM3wn0GAg0CDR6UCzRQ7njn%2FPmGeyeUTs38MxnFN9pmaFHK%2F9UG%2Fgi4sG2f%2FgCBBgQa6vmhKNAwqBo%2Fm7jGi7WkLsXWuOsEv4nbMLfxwfgDwdeLt%2BdcC6UuSn4vk%2B3E61B8KuGqOnfHyzXQED8f8IOW9kbxTfTVzQED6ouFikXL4JUOzA%2FFp0vHtPnzk3FnpOtaPo5fTlSrtQUWJunMBvT86j2uWbRBsdPWTjmENwcwTs%2FXEWYP%2F9lhwVfiM%2Fm6xm1R9xsINAg0eFAu0EB5Yz08eCTjG7j9JrE94jN2Byi9R%2FZo4I1%2F8Z3pWV3jCDQINCDQ0MNbzQIN5dV3thLmlVkbXpOhMZR7Z4cekBdvz53W5G8zZ9hHI%2BNc%2FZoFmDd8q8axWDunQEP458zfod4onlutbE7oqS9mDX7UkSDD240tFsXb9EmkcC4fCK7oyPidmqhmq%2FhbOUkXZ9zzy8QwWxfHpdixYe2GzVFjqw40hP%2FcXJl8Tntt9x0INAg0eFAu0EB5Y71exjdt44obkkkc%2F3EZH%2F9fWtIjTUz8b%2Br6RqBBoAGBhhq2xBRoeGttR5UwrwxrcJBhk%2BCOjj8sv7T4nq3rY8B9NHPckeEVCy95bJOdcJ67f5DHUXxa4uiO9kbxGZJ5zBET%2FNtTfKLlP%2BaJS%2F7S9F2ewvFPG3de6VKY7c5EtVvKNTBJ12bY88XftuNbvJtZP04Jpm%2FIXPWvKgMN4T%2BzavBoJuP0BfcfCDQINHhQLtBAeWN9Xs6fDOjh%2BJfL%2FIZzmYb3x3wNvMn%2FjWsbgQaBBgQaBBqyqO1eiev7aEPrUHzb%2BhYPYt%2FigmAJ10lfi5LF95Sf0jt5vVWaMNDw70F8vmab4LGO90Cxc%2BPOPjn4lt54Xwc%2BRzCQT4Pu0OB7ifs6OGbFQva0iXavcQ1M3M2Z9fwGme8oXIf7i%2BfgDZiv7q8q0BD%2B71tmFuY8wj0IAg0CDR6UCzRQzjjPnnmy%2B1M9nsetGZ%2FDDxreI3s38DuZI13fCDQINCDQ0Mf5vizQUFptz0o8p1zfsPOfo9gq2cPXiX6KonijfAbXy0T7aNHgj%2Fplov7agkDD2AH8u4vtlS8x%2Fm%2Fxu%2BI5R8fnjCHxEwsv64cJ7%2BoSjGjIeBbfhD8o7mDa1fFaNUEdZ9H31Xz6KNFOJL8wHhNUzO3bZz5v3VZFoCH8376U4fic6fcLAg0CDR6UCzRQzjh%2FNeMbtMd6%2FcZh%2BM99MfPvNU7R4B65qWE39oe6thFoEGhAoKHP8x0r0FDaA%2FgnE88ppzXo%2FLeObwx78Dppjwebu27edVHyS%2FGNYn0yid%2BOXQs0hP%2F8ZxL%2F%2FWpVPwQf7fAD8F%2Frgd621y8%2B45P5eE4fP9XU9bH6SoJaTqmOk%2FREBj2%2FZHC3sejJd3L9FF%2Bx20fZgYaMX8D7s98xCDQINHhQLtBAOQ%2FIcr5JPLKPc5k587cPNm9oj8zZsJv5h4KpXd8INAg0INAg0JBFXVcqYU7ZvyE7oJ3nIevArp%2Buv1n9tt83F%2BmJvkxe01gtV2WgIfznhsdFDGM%2BccXb7Lt1bN5YMPibse%2FL34N5Mx3PuYPbjdEbfpmopuPUcuKfZKm559cLnjMO%2Fe0GUNf9zyTG8toyAw1FyCnjMXnKbxkEGgQaPCgXaCD9GK%2BS%2BU3Z%2B%2Fo8n19lfC6XN7RHPt%2BwG%2FmdXNsINAg0INAwgPN9RKChlLoeVsKcsm7m57yG79gnebP64x2%2Fdj4Y%2FEsv9G3emsZrqUTH%2F0qPb2v%2Fzlj3pfiszZAOzBsfLt6uNt4DUsy3C2X4yap7jM3%2FHzzJMMTcVsNr6vkvC5wM2MXBVA1cV%2BrVym%2F7Z2%2FegDHxHAyBBoEGE4RAA4nH%2BKcZ%2F%2BH%2FwwDO52OZ38ws0MAeObNBN%2FAP5phKBoEG92kCDY043%2FsFGpLXdGj825x6Tpk7453Pvu5BbFKH57qNbsm9tHHwgvEfkBUaHmj47yT%2BPXMFtxjnAflZm%2BeTcG6rZzBvvB7cGZwRfDvYNVg%2FfpJl%2BXidvDf%2Bvx%2BOx7xp%2FAzq0XFB7hGhhjfGc9rgr67bd5g%2Bs3v%2BtnpPDT3%2FjRx2pwiui8%2FKDwq2KwK2cQ5bOlg8KuawVYO1gm2K3eOCE4LfB8%2FXePyX5fRMNBzL%2BQnPbdR4%2F9yi9q804DpayjMBBBoEGjwoF2gg3fhOV%2FON1qRsO8AH5w9kfE4HN6xHhjcsvb69axtzu0ADAg0CDdnUdFQJ88n9mZ7r1MHZDbhXeiHe272pCQ8DL%2B3S35FwrntaSBmUDZoeaJjQonvcej63t7Vfe9ucknug69Q27tQQzukTNX1%2Bswgw3BDDfMXf%2FGkTnU%2Fx2cuN4gLhgzWEGubJICD5a%2FP5u1ojQX1vU8dJGtmCHd168WJwQbBLsEwwWaJA96LBjvG3wX8qPqfz6tpho%2BRnU6PGC3Y%2B2pDr6FOeCSDQINDgQblAA%2BnGd8eM%2F%2Bg%2FO9Afw5mkeif243hYg3pklQb94CpuaKdwbWNuF2hAoEGgIZua%2FrKE%2BeSUDM%2BzWHj5cwZzbfFQ9vp47e4T33ot7uUWDmaa2MPNuIX9LHFRdt34YPew%2BFD0wQzO7a7ctgIvaQHryAz%2Fhr8af8PcFt88vDDea4zv4vjsoLgO7qvh4f34dm5BoOE9GYUZHoxjXuyWslXw0WCxYMaJ1GLyeLwrxLfzvxgcE7%2BlncMLFce0bO5YtYadGW6Kfydmregci90dfhg8WdH53Z5iJ4BBnO%2FuGVwnT8S%2FvX%2BI8%2Ft54835xf98TdyN48mKj2vvBPW9TmBhkpaosN%2B%2FVkMQ79z492nKCs6v%2BJu4Qbx2qgoSn5TJ36dTUgYaisBJnJOqvh7GjRfcfK6P%2F96XPRNAoEGgwYNygQbSje%2F1Gd88nzSI85ovvimQ67l9okE9sm%2BDfnB9zXUNAg0INAzifG8VaEhaz7njA8PU88nWmZ3nQjUu%2BI%2BNb3DuErfBHV7iec4St9z9VnBzTef7eHGeLQ4zHJPBVvHFPHhS7KnV43U8bIDnNE2xIBJ8Mi5o%2FyT2zqsln8chNY3h%2FGXdN8WHmXdU1AcPB8cHm5TxeZ%2Bin2L4o%2FhO%2BkU17SpQ2L8lc8fSFQaIXov3hh%2Bo8XynDL4Qg1Nln%2B%2FldbzlHOeSFyu8FopQwmnBXnGnj0X7fVEkLtgWx71m%2FPtxVPDb%2BHc79fGekaDGvxNYmKQPVdTvO1d4Tk%2FGF%2BBmrzkEfWSfi%2BIDtV9Dnif0E2j4ZsmfGynWwQ4JtghWLEJ7wYhJBMLfF%2Be%2BrWKg%2FIfxmdxfgkM9V0KgQaDBg3KBBtKM7ZKZ3zx%2FeJDn99uMz%2B2sBvXJbxryY6t4EDazaxsEGhBoGMT53izQkLSeh5f0dswsmYUZ%2FlVDiOGkGC6YrOYHstvFBZ8qg8T%2FGf8bui26Xo6u6e%2FzY7GfPj2xN%2B5LeFNx%2BfhpjQtKWIw9saYxHJnwHOZ%2BW70uq%2BBN7KPijgpDKq5bsRjwuQrOsXVbQYfjn6OiQN24%2BOmHBTI69%2BFxIbTs3QG%2BX8O5nVfyORWLdmcGny%2B2bq%2FgfOaKwbZiIfKqBLuJ%2FCPBMe3zLjsN9SPVy2HFrjujMzV3Bb3xsYo%2BU%2FR0sbNHEbTMaA6bKd77vfZ%2F5QZVP1nzeX4%2F4fl8vYR%2BKeajnwdr2fEXgQaBBoEGgQbyHtujMl6c%2FluC89s44%2FN7paqtGQdZw6Hxxr8JgYZfuK5BoAGBBoGGbGo5W0lvHv2%2Bw2GGYiv%2FrYOpMhzv%2BeMbb%2F%2BuqBYvVPXmYEX1O6CGIPBp8dMBwzI4%2F%2BKN%2FeWKvyfBnxIEZC5qQaBhZEVhlz%2FF382TZzSvHlvh2%2BnF36n3NXTemCK4oYIaXZPzzjjh2GaIYYsya%2FC5Cs9nxRLP498xSPaemsdssnie%2B8VnzgPZgn%2FGms9hg0RjcmWHfyu8r4LdZYr7ieNyCkO%2FSx0WL3n35CIIvWCN5zcm8S5BKT%2BntVswnec%2BCDQINAg0CDSQ%2F7iOiG9h5Lo4vWeic3wy43PcowF9sniDtsNbw7UNAg0INAzyfG8SaMjy4dX4dsvk%2FKr8lv3vizfYGjLuxZvkO1W0FXjxEHz5Flwr21b8PfR9c9%2FVrNgKOtgmOHuAC9t%2FbkGgYeH4z1ynpF4ovj%2B9euY7Dxxb0e4vN09sO%2BmMa3RcBWGPnaresWMQ9Vg37jhTRi2effOabOjuDMV1dEROb6e%2F7ZynjnPdj4J%2F9nhOawo0NPrepxjz20uew%2B5pSvg17jhzQIm7VdxQ165u4d97UGbPpYq%2FbV%2B1GwMCDQINAg0CDerVrHH9TMYL06%2Bm2r0g8dZWqd3egD7ZsSFhhgeb8qAFBBoQaGj8fa9Aw6TruNgA37br5R5xlgzOr9ge%2FZYK5s17mrodenwwu1MF4eLHc9oCfQB1GlXStfJ2TwVfynF3jx5qNE2wSfHJvj7CDY%2FUdKzzJByzpeJ21Km%2FP39%2Fk%2BaVYmeAuItE2dfIkQ27Lj5Xcj1uqGoBP3Fd5ovfLC%2BrJsNKPv6RJYR4ih2NPtGgMRwSLBN37Ll1Iue1X0sCDTd09LfCz0uew07MNcAzibqsWeIuuYfUdE4HZvRM6opgXs95EGgQaBBoEGgQaGjeuF6c8eL02QnP8%2F2ZL8R%2FKPM%2BOaYhgYbvuK5BoAGBBoGGLGo4NO4oUMY8ck4G51dsk3xpBeHebwVTtqAfZoxvXJb5lvVddW89PcDazF9B4OPVuFvKjC2ZX94MN5wdP5sxsbeRh%2Bf6wLGPQMOpCf954%2BIb2k0MtRTz7mElzyNFfZZt0NzxbIm1OLnJb64WPR6cX1Jtdi%2F52L9WQl%2Bv2%2FB5f9Fg%2F3cJN5xd83GlCjTc3MHfCpuX%2FHnfHRpen0VK%2BqRdcU%2B4eA3n86VMnkcdXPxO9YwHgQaBBoEGgQaBhuaN6bwVbd04UOskPt8bMz7XEzPvlWsbEmhY0bUNAg0INAg0ZFHDL7b581Ilf8u%2BcG%2BwQgv7YtW4o1ZZdftd2W%2FOJq7HiAp%2BoxSLP0u1%2FOHe9nHefrfftnM2PNCQ8rM9DwQrt2DM14lvm5d1zdyY%2B2JHDA1eVWINvtKS%2BaH4%2FNGvS6jPM8Unp0o87tS7Sxzcsnl%2FyeDQeK%2F0oEBDI8dwrmBsiZ8iW6UldZqnpE%2Fb%2Fb7q3W3Dv290zc%2BhipDLZp7tINAg0CDQINAg0NDcMT0g44Xph1I%2FjIzb3eZ6vs9m%2FB3DIfEHe%2B5hhn%2F73AQINCDQkOh8LxJoGFT9lp3EW9ODcVvdf%2B%2FDv3%2BLkufJYu6etuUPY84osX7fbFAtyg7GFDt8jOhYYH%2FvOE%2B8WYPlaziO6RN%2F8z7FP%2BfituzQEWv8wRI%2BwzG%2BrToaGize5N%2BmZfNCEWq4pIRa%2FbKk452thM9yTtHSOb94VrVinQEkgYYsfmu95VNTReClZbWaLz4jT12rbSo%2Bj21qDjOs57kOAg0CDQINAg0CDc3eBvj%2BjBenDy3pwdILGZ%2Fz5zPtlZEN2Z3hZNc2CDQg0JDhtXNOx3plxvjGXFlzyOdqPr%2FFghdLPL9DuhDQjIsQ%2B5VYx7UbUINPlHj%2BY5u%2BvXiC%2Bi4ddzf4cMbPrqoypkk7l%2FT5lnZZn2spFoEnz%2FS85y7pUxNFmGHzls4HUwd%2FLqFmy5dwrJ9KfIxf9FtGoCGzmm1c0rz9aLBQS2v2%2FhLm%2FX9V%2BVm7Ys2oxvugjc1XCDQINAg0CDQINDR7PD%2Ba%2BeL0giWd988yPudrM%2B2V9RsSaHCDCgINCDQINNT%2FFuSVJc4fxZarw2s8v%2BLzADeX%2BFbsTh2cWzaKb02V8YbezBmf90zxGMvopTuDhf3tasSzqyrs3fI6r1zijkA7ZXrOZ5V0vtu3vFfmKyEAc3UJx3lw4nuLWczJAg0Z1Wu6uLtq6vnrqbbtzPAutft0CXXbt8Lj37Cm%2B6B9zVUINAg0CDQINAg0NH88f5nxwvQVJZ73qpkvyi%2BaYa98uSGBhlld2yDQgECDQENtNRsWnFby%2FLFpzed4ZIlhhs07PL%2BsVdIuamc1fE4diBstXmUzxuMyuOfasyO13rmk%2Bt1X51b2Fb%2BYsn9HemWdEmr38cTHeHbCY7vOfCzQkFm9yriXLoKxK3ekft8vYUev9zTsWunHeT5NjECDQINAg0CDQEPzx3LGEt9iyHor4bi97T0Zn%2FsRHbhhLsPdrm0QaECgIdMdnc7pQH8U91fHlDx3%2FLHOB1Lh371ciQuUnzfHXLJ68FIJtd0ww3Ndo6xQePGJPX%2BzshnnsTXfb321Y%2FU%2Br6Q6bpjRORafDb2lhHM8rUsLPuFcj0tcv6sSH9%2BfEh7bseZjgYaMajV%2FSc%2Bit%2BpQv00Zd%2BJKWb99KrzXr%2FI%2B6N8579YGAg0CDR6UCzTQ%2B1julvHC9Niyv%2BFV3KxlfP7FN98my6xfzm9AoOEnrm0QaECgIdO3p89peW8UOzP8pOR54%2FVgxRrPcXhJ394ufMUc8786b1RCaOSfwTQZnePkJTyILlwTTKWPBBqiMR2s91wlfF%2B8cHlG57hNCed3a5XfUM%2BkjsWW9w8lruMqCY%2FvwaYtVAo0CDT0WKsydgr%2BQQd7buXENXyiinvI8O8YVfG90CbmKAQaBBoEGgQaBBraMZa3ZLww%2FcMKzn%2FO4LWMa7BhZv1yWwMCDbu6tkGgAYEGgYbK6zRtcGEF88YPaj7P0SWd13Hml3fU%2Bosl1Pnwlp%2FfLXZmyLKXn6jpPqt4bjO8ozXft6RA3WyZhKEeTHxuz%2BX4ycuK6rlJ4lr%2BOtMw1BfMxwINmdRp6RLm55uCER3tu58lruUOFRzzMhXeC%2F3W%2FIRAg0CDQIOLRqChHeO4bOYL08vadeCSCzLrmecaEGhY1fUNAg0INAg0VFqj91UUeiwWcKar%2BcHBUyWc11W57crV4oe0LwbzZvJWcOpF7mI73bn1TZZ9fH8N91iPBLN3uOZTBY%2BXUNftMzi3ndp4XjXWc0jiTzu8lurvTOJAw07mY4GGlj6XeKmrgaxYz7nj%2FW2ycGwFx7xURfdCxXy8iPkJgQaBBoEGF41AQzvG8ZiMF6VvbuCPjjIUW%2B3OmUm%2FTNOAMIN5HwQaEGgQaKiuNsUnJr4UPF%2FBfFG8Gbt6zed7RAnnVWx1Pau5ZaKLkqnDMj%2FL4LwOLuGB7Uf0jEDDeD6h7pfsX0JdL6z5nIrPHj2Q%2BJwuLRb1O94rH0tc04MzDDSMNh8LNGRQo%2FeXMC9%2FWe9dclTimq5c8vEuWNG90MnmJgQaBBoEGhBoaMcYTlnztzwnZbcKazFZfIMl11rsm0nPzN%2BAMMNjrm8QaECgQaChkrosH%2Fy5wvnimzWf77yJ3356M7hqZ6ne3uJ6JXE4ZpEaz2eOEnY9%2B4peybqH%2F17x%2FZVP2Py%2Fus8c39xN%2FWmGYTWe06aJz%2BeF4ne%2Bfnmjtil3aShCJ0MTHNNDCY%2FpUOMs0JBBjX6aeA67McW11oK6zpn4XvmEko93ZEW7MyxkbkKgQaBBoAGBhnaM4RYZL0oXDx1mbMEbd6nck8MbE%2BEYlmtAoOF61zcINCDQkPh8TxRoeEs9Foo98HqFc0Xtn2QI%2F%2F4xbQtpNKzvvtaWN7bCv%2FvwxOdyddffrm5A%2F95c4Xz5UJ2f5smw9qeVUOMP1Hg%2BNyY%2Bl%2F30SWlhkdUSHFPK4OipxlmgoWWL7sVvkRX0Xikh%2FP8EI0o81pkquB8y5yHQINAg0IBAQ4vG8IqMF6V%2FUUM9Fsl8oX5UC7dhLMMvXd8g0IBAQ8YL2ec0uA5LxbeqXqt4nnig7k8yxLd8U79Rf3uZDwpbOO9MHtyZ4zfO%2BzyP6eND4pRvVy%2BsRwQaxrORmr%2Bl9muVUOMdajqXlUv4%2BzqFPvlffUcETyWs7zEJjunchMdzh3EWaKi5PocknsN%2Bqu%2FeUt9VEtd33boXYwdpFX2BQINAg0ADAg3tGL%2BFMl%2BU%2FmhNdbk245qckkHfbNaAQMORrnEQaECgQaAh2blPE2xZ4z3SM8EyGdThQA%2FZWrkweXgN57BX4nPYW280onevr2jOvFS931H7YcHjiet8dE3nckri8%2FicHnlHjX%2BYsL4PD3b3nPDf%2F3biMZ%2FLOAs01FSb1J%2F6LT4DN4%2B%2Be0uNhwT3NmE3s%2FDPHl7y%2FZAAFwINAg0CDQg0tGj8Ds14Qfq%2Bur5%2FFv6922Rcl%2BLtq%2Blr7ptdGhBo2Mc1DgINCDQINAz6x%2FEmxa5H8WFhXfNDsSXtmi18AFv4ublkwOPx24Tj8GSVbyfHh7cPJ367ekp90ZrnJyl2HVlMvd%2B1%2FiclrvUlNZzDjPHTnMkWe3x3%2Fl3rvEZOnycp4VOxo42zQENNtdkocS%2BP0XPvWufDUoayMljXM9eBQINAAwIN3lBI%2BiAttQNqrM3UwbMZ12bnmntndAMCDTu4zkGgAYEGgYa%2Bzm%2BK4tNWcReCq4JXM5gbxhWhipY%2BgC0WpOYzlwx4PJZPPB5bNXChw9vVAg2VvklpkfEd%2FlHDOXwx8Tlsojcm%2BLzsiYR13mOQx%2FPexOP%2BN0EWgYaaanNR4t0Z5tBz71rn5RLPGUuWeKzPl3Q%2F9Howp35AoEGgQaABgYZ2jN0nM16Mfr3uLcPCv%2F%2BEjOtzY8212bMBgQbfjAWBBgQasg80hP%2F3fXHHrJ3ivdnSwawVnMv0wYeLAGDxbefgT5kEGN4eZtg8o%2FG%2F1Btl2V2TKcfkigqP%2BzcJj%2Fsui1KN6tmLK9jRRlBq4n%2F7XktY75drOIc%2FJTz%2Bu80fE631aQlrfUGC40m9S9SnjbNAQ8V1mS3e36fq4R%2FotwnWemjiUNYuJR7r2JLuiX6vFxBoEGgQaECgoT1jd3bGi9EXZ1CfFTNfsP9AjbU5sAGBhg1c5yDQgEBDAwINxcOm695tkSR%2B%2B%2FSa%2BMmHI4IvBRsHHwmWKN44iT9gJ4%2F%2FrOHxf547WDRYJfhMsbNT8M34z7kh8cOtMhflNs1o7OeJgduU5ze3eWTQ4%2FKJpgWqi8XmxL20rV5wDzaeH6nzJMfgj4lrPluFx576Lf099cRE6711wlo%2FUdF9d187jARTGWuBhgrrsntTdg1oSb1%2F2YTP5IV%2F9kMl3RPtoQ8QaBBoEGhAoKE9qdhXM36I%2FelM6nR7xjX6vkDDRK3tWgeBBgQaEp%2FvYakDDfGfu3Tit5Wa7j%2FB6pmN%2FR6Jz%2FEkc0iyt8%2F%2BmXBc9q7gmPdOeLyPvBlowj1Y3HlgXnWe5Bh8J3Hdl63w2L%2Be8LhfrWJHqIb3ypyJe2WhQR7Pp0qYN75nrAUaKqzLdQl793q9Nsl6fz5hve8p8TjvL%2Bm%2B6L36AIEGgQaBBgQa2jFuOX8y4IlcHsyF4%2FhyxnV6KhhRU12%2B2YDFkFGudRBoQKAh40DfOW%2F7Z39fkOF%2F2%2Bcv1oE3epc1hyQbm4MTjst1FRzvrQmP9zA90Lh%2B%2FUWJ8%2BcpatzTGHw2cd0%2FWeGx35zwuM%2FXD5XP2RsP8limiKFPn%2BsUaGhqQCjlDlVf0GuTrPncTXhmE%2F65d5Qwrz2oBxBoEGgQaECgoT3jdmfGD7KPyqhOs8QtgXOt1SZ2aJigdVzrINCAQEODAg3TBf%2FueJjhjGDaDjyAvcH8kXR8Fkj82Yk5SzzWRXN625ds%2F24O1IfUuKcxmDdx3Tev6LhHJj7ubfRDT3X%2FUcKaH5rgeE4oYe54wfyRbaDh9hbVZMfEfTuXXuup7vcmrPkqDQjrvelk449Ag0CDQAMCDe0Ys5Uyf5i9RGb1OjPjWv1WoGGCNnC9g0ADAg1NCTTEf%2F4mHQ0yPJPz74XiDbDE57uL%2BSP5GN2ScHx2KPE492vSbhI0KtBwt%2Fr2NQ4PJ6z91hUd8xcTHnPxmatZ9EJPdf9cwrqfl%2BB4PlDiTqmLG%2FPsAg33t6gmvxEOrqXuP8%2F9N0wJO%2BFZi0KgQaBBoAGBhhaN2UkZP9C%2BPsN6rZ1xvYq3yEbWUJMvNWBx5DOudxBoQKChSYGG%2BO%2F4bcfCDBfk%2Fs33xHPmON8sL2WMDk04RmeWeJx%2FSHicexr7RvbqD0uaS7%2Bhvn2Nw7lN2%2Bkg%2FHsuTHjMV%2BuDWnYBujfRMV1R0jzyeLCkcRdoKKEeI%2BJOIKl6dV99Vksw%2B%2Bga15bsYgYCDQINCDR0cLymDZ7L%2BKH29hnWbGjwz4xr9o0aajK6AQskO7nmQaABgYYGBhoWDl7uQJDh7034PFQ4xmHB003fXasDc9GKCcfoqeL%2Bv4RjnDkGWlId54LGvpG9OqakOXUp9e1rHA5JWPvRFRzv5Imf4%2BynD%2Fqq%2F6OJ6v5qMDzB8Ywq8f7sP8GHjbtAQ%2BJ6rJa4T5fRZz3XfumEdb%2B4pGO8qIR5bIjxR6BBoEGgAYGG5o%2FXthk%2F2H6%2B%2BH50pnU7OOO6PVjGQ9dJ1GPnBiyUeEjTrbltnuDwYK%2Fg88Eni%2B%2BAxoXBGdRIoAGBhqYEGuK%2F5xstDjL8M35Dd3hDxvyDic9%2FtLmjtODJswnHadkSjvGzKQNBxl2gYfzfg2rb9zhs3LBAw0cS98xy%2BqCv%2Bl%2BQWxgt%2FHMuK%2FFe7UU7Xgo0ZLyT1hNVPwNteO2Hx2s6m11mKng%2BdZWxR6BBoEGgAYGGdozXHzN%2BwH1y5tsMvp5x7T5WcT2a8I3vMa75Ts1tH%2B%2FhbZhHgtviFp2%2FCo6Jb2ftFmwWrFUk%2FYO5gykFGgQaEGioMdAwRXBPy4IMfwu2K94ybdiY7524DouYO0obq0sSjtOuJRzf8QmP71hjbmeAJvyOzngcFktY%2F70qON79Eu9CM0wf9FX%2FgxLWf81Ex7RM4l1%2F3s3e3nIWaEhUj2sT9uXpeqzv%2Bl%2BfcJeZMnYx%2B6XnwSDQINDgQblAA2X%2BaC%2FDKpnX77KMa%2FerimuxZgMWTs503dt9JsGuMQ8Efyq21gtODY4qvtcY3y7%2BdDFvxbl11iY9GBRoQKAh70BD%2FHd9tAUhhleCM2JgbEhDx%2FzshPV4wLxR6lgdkHCsTivh%2BFKGlD5rzP0d8bxl0G%2BsvpKo%2FgdWcLy%2FSdgvZ%2BiB2hanC9skPK7vVXAvd1rbw%2F4CDaXXYrKEOwQUttVjfY%2FBsQnrP0dNzxTcF4FAg0ADAg0dG6vvZPzA%2B67cH3THN7hzrV%2Fxre2ZK6zFMg1YRPmz675T89vXM%2Bm7J%2BJ89vvg3OCE4LDgK8W3CwUa3KcJNFiI6jXQEP99P2tgiKHY0eqaYKdglhaM%2BYMJa3OqeaPUsVor4Vjdk%2FjY5kh8nc1nzP0d0Q%2BDHovHmxBoKJ6TBE8m7JexxSIpfXk4Yf33T9gb0yS%2BT5mQG4N5zRsCDQOsxQqJ%2B%2FERc1Lfxias%2Fwol9MhxiXtkJfMQAg0CDQINCDQ0PxH7WMYPv7%2FagBoW2z8%2FnXENR1dYi3kasKDylGu%2FU3PczxvQk18QaHCfJtBgIarPQMMsiRcxSvubW%2ByMVNzztyHEMF79Z05cp53NG6WO1%2ByJx2v6hMe2fsLjetx4N7pPU3%2FG5h51HfBY3J9oDI4s%2BTjf27JPUHXdjxL3x9oV3uutY%2B4QaBhALXZz3bfKuiX0yJjExziLeQiBBoEGgQYEGpo9ThtlfDNUfINr9obU8eiM63hrhXWYqiE32rO6%2Fjszx93UgH7cUKDBfZpAg0BDP4GG%2BO%2F8fIbX671xC%2BLdgw%2BW8S3VTMY79Se2ljZvlD5mKQPcKyc8rkMTHtfFxrrRPTo68bzyE3WtPdAwpuTj%2FLQFtFb5VQk9clSFx39Ykz61KNCQRS1OdN23yrYl9MjhCY%2FvWXMQAg0CDQINCDQ0f5wuzPhm6NwG1XHpzG8sl6%2BwFmMbcKP9Udd%2FJ%2Ba3ocFzDejHFTKqmUADAg0DO9%2Fv1hBoKLaavqrG0OltwS%2BLLZKDT3YpLBjOdc%2BEtXwtmNy8UfqYXZHjzkpFCCHhcR1lrAUaxrO7ug54LP6eaAy%2BV%2FJxHmwBrVUuK6FHJo%2BfhajqHIr70jnNIwINPdbiT677VvlqCT2S8qWBv5iDEGgQaBBoQKCh2WM0dzAu45uh9bwJnsxxFdbh5gbcaH%2FJHNCJOe59DfnhN5dAg%2Fs0gYbGn%2B%2BYqgMN481zL5d4%2Ff07Ppw%2BKW6HXuzstUTxybKO9%2FcJCWt8mzmjcWP2g4THlfIb5zsYa4EG34nO6vfsySUf53kW0Frl1pL6ZGTFn5l9JFjDXCLQ0MPLJy%2B67lvl2yX0yf4Jj%2B8scxACDQINAg0INDR7jL6W8Y1Q8QB9eMPquUvG9Xym%2BBxERXX4dQNutH9hDujEHLdlA3rxtZzmOoEGBBqaFWgo4UHP231NP79rzS93T9K4Mdsnt087hH%2FOdImv19WNtUBDVLy0MLW6tj7QcLsFtFZ5uMReWTl4pcJzGRfvT4eaUwQaJlCHeV3zrXNS5vdGR5uDEGgQaBBoQKChueMzJH7nONcbocMa%2BofipYxrulUDt90uy4PmgU7Mcz9sQC%2Fem1nNBBoQaGheoGGy4K8lXX%2FF7g%2BL6ul31PyBhDU%2BSE0rGbNNEo7Z3xMd04qJr9eFjHWje3SHhL1wp5oOaixSbdF%2FWsnPc162gNYqr5Tc11vUcE6XBDObVwQa3qUOq7nmW%2Bf8zAMNY8xBCDQINAg0INDQ3PFZPfMboYUbWtefZ1zTqyuqwe4Nudmex1zQ%2Bnnutgb04QUCDe7TBBoEGgYTaIj%2F%2FuVK%2FIzY771h95ZajwheT1jfbdS1knH7SMIxezXF7krhn7FZ4mt1hLFudI9uXeffEfp%2BllXrOMTPh1pAa5%2BpS%2B7tfWo4p38FHza3CDS8rQ7bud5b5%2BoS%2BmQngQYQaBBo8KBcoAEL790Niry3ghqs3ZCbbfNPu%2Be42RvSh98VaHCfJtAg0JBiAST8975T4nW4m77%2BX50XSVzbVdW1knF7b%2BJxmzPBMe2b8HieMM4CDWV%2Bx9qzrOwCDStaPGul2Svo78NqOK8iCLhnsbOI%2BUWgIdbh66731rk583sjgQYEGgQaBBoQaGjwhNb5TyOUuPVjpz%2FlUTzgbcjN9unmg1bPc1s0pA93EGhwnybQINCQKNAwVfCPkq7D54pv3ertN%2Bq8UuLaLqCulYzbDInHbfkEx3R8wuO5yzgLNIxnDzUd1FhclmgcfteARVE69gJK7J9v1XR%2Bvy7%2BHgs0CDSE4z%2FW9d469wk0gECDQINAg0ADZYzNLhnfAD1TPJBveH2%2FlnF9%2F51ii9weavBkA262nw6GmRNaO8%2Bd0ZAffasINLhPE2gQaEj1Rmf4765R4rV4sd5%2Bo8afSlzXqdS1stBxynFbL8ExXZzweP5gnAUaxrOZmmZxP3xlice4k8WzVlq2wj7fu6Zz%2FEeV55nh%2FLKeQMMbdfi16711niyhTzZKeHzfdI%2BDQINAg0ADAg3NHJs%2FZ3wDdFwL6jtXid%2BxzuIBbA81uKIhN9xrmBNaOceNiOGo3Puv%2BAb7tAIN7tMEGlpxvsfk8u3z8N8%2FweeaSh3rHRPW8wXzRaVjNzbh2O2Y4HhuTHg8vzHGje%2FPjfzGad398FUlHuO%2BFs9aaVTFvb59Tc%2BuXg527uj8Mkqg4Y06XO16b51XMt%2BN6ED3OAg0CDQINCDQ0LxxWTrzG6DlWlLnCzOu8bkVnP%2F3GnLDfax5oZXz3PoN6b87W%2FwAV6DBddi1QMPJGQUapgseLOl6LBaE5%2Bp4b%2B%2BX8i1F80WlY3d%2FwrHbO8Hx%2FCvh8ZxpjG1DPp7F1HRQY3FWrt8TH%2B8YD7d41kob1NDvnywCljWd7y%2BCaQQaOhlouNn13kojMt3RRKABgQaBBoEGBBoaOi5HZ3zjc6s3bCrxWjB7yee%2FVUNuth%2Br4hMcVH79%2Faoh%2FfdzgQb3aQINAg2pAw3xeNYs8Zq8sOO9fVTCWt5svqh07O5NOHaHJzielxIez8nGWKBhPLOoaRZ%2F08sMNPj%2BfDttWVPPfzB4tK6Qf7CEQEPnAg33u95baeZMrxeBBgQaBBoEGhBoaOCYTBE8nfGNz0Oxb9rg95nfZH615F5b2FsQ1HjD9mJDem93gQb3aQINFj%2FKCDTEY%2FqhT0%2BUMtY%2FSVjHK80XjX0b8PhBHstUia9JgQaBhje9qp7Z%2FE3%2FW0PuO%2F4bd5g8h9p9rMa%2Bnz%2BGC%2Br4vfd8V%2B4tBRr%2BV4cnEvbPE%2BaObMwq0AACDQINAg0CDaQak82kRYnuDoaU3G%2BPNqQWF5gfWjXP7d6g63BFgQb3aQINFj9KDDRME9zn0xNZj%2FVF5ovGBhp%2BMchjmVmggZICDQ%2Br56DH4se5LziWsCOd%2B22Kvpq%2B5s%2BnnhhMKdDQiUDD2IR9c7Xrt7XXy4oCDSDQINDgxl2gobtjcpmFfMazSsn9dnZD6jAumMcc0Yo5bkhwR0P67rkcP3ci0IBAQ3sCDfG4VvPpieRj%2FeuENTzbfFHp2P0pl%2Bs0%2FPdHJr4ejzXGAg3RTeo56LEY04BAwznutympt4YFR9T42%2B%2BWYsdPgYZJerrhdUi5q%2BbNrt3WXi9LCTSAQINAgxt3gYZujkexfdzrFvGp6k2u8M%2Ffo0G1OMI80Yp5bo0G9dzFmdZQoAGBhoGd789zDDTEYyvz0xM7drC3z%2Fk%2Fb9W3%2BfdpJbtrhP%2F%2BkomvxTHGWKDBzi%2FZBRqeEGigwdfBFjV%2ByvHZ4DMCDRPfLc0ODQINAg192VNNEWgQaBBoQKChOeNxsAV83uU7hdOV2HMfbFAt%2FlNmLahsnru0QT23l0CDB6wCDa0KNJyTcaCh%2BPTE30u6Pl8qHjR1rLevEGgQaCj%2BWRk9oBVoEGgY30%2FUc9BjcVTuC44l3LPPbux5lz5bpthppMbfgUcHkws0CDQINHR2DlooYZ%2BMVlMEGgQaBBoQaGjGWAwN%2FmkBn3exQ8l991iDavFV80Wj57llG3btfVCgQaBBoEGgoYpAQzy%2BVUrcqasIS0zrN45AQ8fG7o8CDSTuz3US9cJh6jnosTgw0Vg806B79pHGngn02kzF7oI1%2Fha8oU39KdAg0EBffTJSoAEEGgQaPCgXaOjeWKxt4Z4JuL7k3vtZg2rxRPEWqzmjsfPceQ3rtWECDQINAg0CDVUFGuIxjinxOv2V3zgCDQ0Yu%2BtzeXheQqDBW%2FkWud60h3pmE2j4b4Pu2QUamNTLKl8LxtX0e%2FCpYF1zvUDDBNzuOhVoEGgAgQaBBgQa2jMWZ1q4ZyKWKLH3Nm1YLfY2ZzRyjvtQw%2Frs5IxrKdCAQMPAzvfyBgQapgzuLPFa3bUjvX2ZQENjx%2B7mXELBJQQaTjHGFrmibdSzE4GGkxPPIYsYe3rou1WDh2v8XXhYri8GCDTUGmi43%2FUp0CDQAAINAg0INLRjHGYJXrFoz0QcVfL2hOMaVIviR9Us5o7GzXNXN%2Bya21CgQaBBoKF1gYYrcw80xONcscS%2Fyy8Xn%2F%2FpQG%2BnnCdPNV80NtBwZWaBhnOMsUBD7veZDRqL0QmvzRElHeNJieeQpYw9PfberMGlNf42%2FF0wo7m%2B8YGG%2BxP2xKOuzdbON7MLNIBAg0CDB%2BUCDd0ahy9bsKeH7e8nL7EHr2lYPY4xdzRqjvtsw%2FrrpZw%2FbSLQgEBDuwMN8Vi%2FXeL1em8wvUCDRWiBhkkeyxKJr72LjLFAQzRKPbMKNLynpGNM%2FRmplYw9ffTf0LiTSV0vrxT3m4sLNDS6h%2B5K%2BWKS67LbC7ICDSDQINCAQEN7xuE2C%2Fb04DMl9uAuDavFa8EHzB%2BNmN%2BmCh5sWH9d2KGFOoEGgYYuBRr%2B1KBAw4iS7w%2FPFGjo2W%2FMF5WO3S0ZBRpGJr7urjTGAg3etO9UoOHQxHOIIAwD6cM1gkdq%2Bo34bLC%2BQENje%2BemhL0wzvUo0NCDz6sprh%2BBBoEGBBryHoMVLdTTo4tL3pJwXMPqcV3x1oF5JPs57ogGXmufE2gQaBBoaGWgIeWb31dUcLzLBq%2BWeN3u2uLe%2FrlFaNsbD%2FbeOfz35058zd1gjAUaokXUc9BjsXXCa3Puko7xK4nnkPWNPQPsxWJL%2BMtq%2FK34VYGGRvZN6p4Z4noUaLAGBQINAg0INDR7DE6wUE%2BPXg%2FmbdCPlSp80TyS9fz2wbibRpN66rmcPzch0IBAQzaBhisrOuYDSrxuXy5CE%2B6vJx2gNF80NtBw5iCPZerE19zfjbFAQzRSPbMKNIws6Ri3TzyHbGLsGUQ%2FDgsOis%2BV6vi9eFKZn1EVaCilDmcm7oEZXYutnFumFmgAgQaBBg%2FKBRq680f%2FWQv19OGAEvtxpwbWo1h8XtB8kuX8NkVDP6dzagNqK9CAQMPAzveuBgYahhdvdZf8fePpW9jb301Yo7vNF40NNJyc4HheSXg8TxhjgYZoVvXMKtCwQEnH%2BOnEf7N3MfYk6Mu1gsdq%2Bs14RTCDQENnX8Bb2DXY2nlFoAEEGgQaPCgXaOhA%2FbexQE%2Bf7ivrMwvxj%2BgLDaxJ8emJ4eaU7Oa37zX0GltboEGgQaChtYGG%2B5sWaIjHvWjJf5%2FPaGFvH5iwPo%2BbLyodu6cSjt2YBMfzaMrd1oyxQIP7piwDDUuVdIwrJ%2F57%2FQ1jT6LenDO4qqbfjXcG8wk0NKJPvpl47Fd0%2FQk0WIMCgQaBBgQamlv%2FayzQMwAfLbEnT2loTQ4xp2Q1t32ioX30cBPCMQINCDR0K9AQj323kq%2Fh7VvW26MT1mac%2BaLSsXspp%2FvD8M%2F4W%2BJrbXrjLNDgvinJWHymAYGG9yaeP35o7EnYn8UnKA6p6bfjQ8GSAg3Z98guicf9k649gQZrUCDQINCAQEMza7%2BIhXkG6Bcl9uUqDa1J8R3IT5hbspjb5k%2F8dmWVDmxIjQUaEGgY2Pk%2B3OBAw5DgdyVew88H72vRWG9uEbqxiyspx%2B0LCY4p9XW3gLEWaHDflGQsNkh4Xa5Q0jFOnXj%2BON3YU0Kfrl18EqmG349PlXXtCTQkq0Pqz%2BZs45oTaLAGBQINAg0INDSz9t%2B2MM8AvRzMWGJv3tnQujztIXHt89qUwV8a2j%2BvFVtvCjR4MC%2FQ0OpAw9imBhri8c%2BT%2BBze7pZgREvG%2BmMWoRs5bjMkHrfPJDimnyc%2BpmWNdaN7dA33Ta0MNIwq8TifTHicvzP2lNSncwfX1vAb8j85hhoEGv5Xh2UTj%2FderrfWziFjBRpAoEGgwQ8%2BgYb21n2y4BEL8wzCbiX255cbXJfbvEVZ27xWvD18RoN756wG1VqgAYGGDgYa4jlsUfK1%2FO2WjPVSievyQXNGJeO2cOJx%2B3CCYzo88TF9zFhbRHff1KlAw3UJj%2FNOY0%2BJvTo8OEyoQaCh34W2PnzftSbQYA0KBBoEGhBo6PaPb7rp5hL7c7rgmQbX5rfB5Oaayue1wxt%2BTa0u0ODBvEBD6wMNzzY90BDP4%2FSSP%2BH0kRaM9eyJ67KOOaOScftQ4nFbKMEx7Zz4mD5vrP2Od9%2BUZCzWT3hdrlvicZ6S8DhfMvZUcG19soZPSBb%2FvkUFGrLsh5S7zJzrGmvtvPGCQAMINAg0%2BMEn0NDeup9vQZ6ct6wN%2F%2BwjG16bnxY7BphvKpvTdm94v9zUsHoLNCDQUN5vjiYEGmYMHirxer6vCDe2YLxfSliTncwZlS2ipAznjEhwTGslvr72M9YCDe6bslpwLGxQ4nF%2BI%2FEcMqfxp4Lra97gjxX%2Fnry%2FCKQKNGTXCyl3mbnF9dXaOeO%2FAg0g0CDQ4AefQEM7az5H%2FFa7BXkG60cl9mnxne5XG16fY4QaKpnTPt%2BCa%2BmzAg0ezAs0CDQ0JdAQz%2BWjJV%2FTP27BeN%2BdsB6HmjMqGbMdE47ZA4mOacHU96fGWqDBfVN2gYZPlXicqT8VtZrxp6JrbLIaXnS5LkUYUaAh311mgqGuL4EGa1Ag0CDQgEBDc2q%2Bj4V4Uv04CqYssVd%2F3oIaHWbeKXU%2B2zwY1%2FAeuadpP6oFGhBoGNC5DmlToCGe05iSr%2BtPNXzML01Yi1%2BYMyoZs0MTjtlliY6p%2BKb4KwmP6wJjLdBQvP2snlkFGrYu8ThXSPy3eRfjT8XX2nrB0xX%2BrjxRoCGr8T8w8fgu4LoSaLAGBQINAg0INDTnYfrfLcST0BYl9uvicbvexu9kYaeGUvpj5xaEGQo7NLD2Ag0INJT0Q7FhgYYpgttLvK4fz2Xr3wHW5wdd%2FTRRg8csZZj22ITHdXPC47rLWDe6RzdN1Acj1bMzgYapE%2F9msssLdVxv8wc3VPjb8nMCDVkFWlKO7fquKYEGa1Ag0CDQgEBDM%2Bq9qgV4Erui5J79ZUvqVCzaDTcPJeuLvVrSFw8Ekws0CDQINAg0DMD1mZzXUsHLJV7bv2lqKDAc924J6%2FCsOaOSMbs24Zh9OeFxnZrwuF51T9roHt1aoCGbsfhwwutyx5KP9daEx%2Fon409N19zkFewO9qZn6tzJJmGg4ZUWjPtcicf2INdTK1%2FeFGgAgQaBBg%2FKBRpaWO%2BfWYCnBAuW2LPvC15rSZ0uCaYzFw2qH4YlfuO1bls3dBwEGhBoqD%2FQcHNG5%2FbVkq%2FvnRo65mskrsP85o3Sx%2ByphOO1esZBzgWNd%2BcDDYurZ5JAX6prcnTJx%2FrjhMdahBgn0wPUeO1tGD9%2FWvbvy0vrCtWm3AGmJWP%2BSMJxvdh11M0FWYEGEGgQaECgoVm1ni54weI7JTg0gwWvprjFG1GDusm6oEW9cEcR0BBoEGgQaOhMoGHeFgcahgZXlXh9Pxcs1MAxny1xHT5l3ih1vGZPPF4zJjy21RIf2yeNeecDDUupZ6cCDbsknkNW1APUfP0tGtxfwW%2FMLQUashjvlM%2BBivDqUNeRQIM1KBBoEGhAoCHvWu9k4Z2SPFTmwmyxiFFsldeiej0ZrGVe6qsHFgvubtl186kGj4dAAwIN%2FZ%2FryLYGGsY7v2dKvMavaeLDx3iP1IgAqfko6Y4aDyQ%2BtmmD1xMe3yHGvPOBhpXUM6tAw%2F4lH%2BuKif8m760HyOAanLO4Hy75N%2BbDwTQCDbWP9QGJx3UZ15BAgzUoEGgQaECgIe9a%2F8nCOyX6ZMn9e0TL6jUu%2FigbZn6a5NhvFd%2FObdP4%2F6Gp34QXaECgYcDnumCbAw3xHLcs%2BTof3cBxT%2FlG2ZXmjVLHap%2BEY3VWCcd3S8pttI155wMNo9Qzq0DDgSUf6%2BTB8wmP93d6gEyuw%2BmDq0u%2B%2F%2FyGQEOrQqeFPV0%2FAg3WoECgQaABgYZ86%2Fx%2BC%2B6U7OwKfqg%2B1sK6XeMTFBO9qTq1hWNevGG5bMPHRqABgYZ6Fz4K92V6nmeUeJ0Xn05buGHjvn%2FC838pmMLcUdpYnZvzg%2FLwz%2FxB4s%2B4DDfujezTLybqgU%2BoZ1Z%2F1w%2Bq4HgvSni8Lxc7x%2BgDMrkWpypCNiXff84q0FDrGE8RvJhwTK9w7bRutxaBBhBoEGjwoFygoUV1%2Fp4Fd0r2atk%2F8sI%2Ff%2FuW1q7YonvHJr%2BxX8JYr5N4m%2B6cHN%2BC8RFoQKCh%2F3NdOnHP35%2Fpec5U8vx9XZN2NwrHunri81%2FN3FHaWD2acJw%2BWMLxfTpxL61s3BvZp6MTjf8G6plVoGFMBce7R%2BI55DP6gIyux2IXkgtLvP88pOLzEWh4Z01%2Bm3A8XwtmcO20pjdGCjSAQINAgwflAg3tqfGI4EkL7lRgz5J7eWgF30is01XBIh2fr%2BZo6a4Mb3q66rc7BBoQaMjmXEd1IdAQz3Wtkq%2F3rzRo3KeOD01TnfsR5o7sd7N7rozQTfHgPX6yLNVxft3YdzrQsKl6di7Q8IHEf4tP0wdkuFPDFSXdexbPVKcRaKh1fPdKPKZbum4EGt7FNmqKQINAg0ADAg311nhjC%2B1U5G8V9PMKiR%2Fm5uaV4LvFJzY6%2BEbFHnG3ijZfI19oyXgJNCDQUH%2Bg4ZHMz%2Ff7JV7vxacXFm3Q2F%2Bb8NzvNneUMkZ7Jhyji0o8zj8mPM4bjX0je%2FVAbyC2MtBwbAXHOyTxTjQv%2BOwEGV6XxadK%2F1zS%2FeeuAg21ju0yicfzUteMv8fvYrSaItAg0CDQgEBDvTW%2B1EI7FVqpgp4e04E6PhbfwJqy5fNT8WBt8%2BAfHRjTa4pdRgQaBBrobKBhg8Q9Pzbz8y2%2BdXuHT0%2B8UYuvJz73xc0fycfo8oTj88USj%2FNriXtpLuPf2UDDzuqZ1QLKyRUd87GJ5xDP6sjx2pwvPk9Jfe95i0BD7c%2BOHkw4nsWLUnO6Zvw9FmhAoEGgQaABgYa8buRft8hOhU6qoK%2BnCR7oSD3%2FFezUtmBD%2FHzIJsHtHRnHl9r0ORGBBgQasgg0PNOAc1467jxU1nW%2Fb0PGfsXE5324%2BSPp%2BMyaePev%2BUs81sUS99KX9EDj%2BvVwD%2BwFGgZxzGsmnkP%2BoBfI9PpcNfEnv960pEBDreP6ncTjeYDrpRV9sZxAAwg0CDR4UC7Q4A2Osv07Hh%2F9Oy3jcX2uiq0nw7%2Fj4x0Lijwe3%2FCcpeFz0rTBbsE9HRu%2FvVv2t0WgAYGG%2Fs91y9R935Dz3rvE6%2F7lYImGhPj%2BnfC8H2rK7hQN6dGdEo7N7RUc750Jj%2FdPeqBx%2FTrGvWk2Y7F8wmvxrIqOebLgqcR%2Fi5fVD2R6jR5cwr3nwQINrQoJF%2FfUk7leGt8XowQaQKBBoMGDcoGGdrwBnfNb7AcbpwGP7XTB8xmP7bYV1eHEDu6A8XIMtKxRbLnXoJ5dNji6eKO4g2NWbIs%2BXKBBoIHOBxq27migYVhwdYnX%2Fo1NeBAZjvH4xOe9gTkk2dhcl3BcvlXB8R7QxLdNSTb%2B30807geqZ1YLKOdUeNwnJZ5DTtEPZHqNjkgcAizcLNBQ65im%2FuxEYTPXi7%2FHAg0INAg0CDQg0FB%2FbdfMfJFvAeNU%2BiJQXf5QUQ2KT0%2Fc3eHPexQ%2F5A7L9a2YcFyLxjdzb%2BvwGD0bLNjC%2BUegAYGG%2Fs91txL6ftqGnPvI4D9dDsmGY%2Fxo4nP%2Bozkkybis0LQ3lcO%2FY97EnxT8kV7o5G%2FAb6lnVgso5zf0uP8bt%2FVfSE%2BQ6XW6QQn3nbM06Tpt4Zh%2BM%2FF43lG8EOh6aXRPrOMzJCDQINDgQblAQ%2FNre3rGi3yXGaNBj%2B8qmS%2Fkvq%2BiOhTfSnu1wwvm44cbjos%2F2KevqSeniEGqI4Jbjckbtmrp%2FCPQgEBD%2F%2Bc6ust9H451ixKv%2F2Ix5UMN2Kni4cTnvap5ZNDjkvIzbndWeNy%2FTfy5uBn0Q%2BcCDWPUM6tgwJUVv%2BF8V%2BK%2FRyfrCTJ%2Bo%2F%2FmxP2%2BYcPml6EtG9MFEgc7C5u4XgSX7GCFQINAg0ADAg311XWmuDV9rot8mxunJD%2FMct6d4DsV1mJfC%2BdvUfy4%2B2vxxl3c4nyZImyQuObD4w4MnwmOLHblCF5S%2B7f4RYvnH4EGBBr6P9f9Suj72YRt%2F%2BeeYuemzM%2F%2FOwLCWY3HfMErCcfjGxUe%2B6aJe2l%2FPdGYvj0j0Zgfo57dDDTEY9%2BjhGDhe%2FUFmV6r2yfu9281bH55TwvH9LLEY%2Fq3tn0mtGPX%2BGcEGkCgQaDBg3KBhmbX9YsZL%2FKNTb242uFx%2FmrG4%2FxYVd%2B0jm89XmoBfZIPmf4e61R8x%2FtrwU7xxn%2F14i3PYKnxfCj%2BiC6SztsGewVHB%2BfFsMTLajpRRdhoOoEGgQYEGsY71wNL6PuRDavBjMFDJc4Dx2V%2B%2FouUcM7rmUtqf9P9zTDpfBXvivVkwuN%2F0t%2FRzt2DeaM%2BrwXH6yo%2B9pkTB7oK5%2BkLMr1WZ0jc7%2Bc3bH4Z2cIx%2FWwJ99S7uF4a2w9bCzSAQINAgwflAg3NrutfM17o%2B4ExSjbOs8eF6lzH%2BlMV70pyv4V0MlBs3by4h%2BkCDQg0vO1cv11C3y%2FSwDp8tOS54JOZn%2F%2Flic%2F3rqoCpC2bexYLxiUch9%2FUcA6HJO6lb%2BqNRvTuBYnG%2BzT1zGrB8eYajv%2BEEv4Gr6k3yPR6vbZJn5hKPL8s08LxHF7C878nfYKrsf2wY8I%2BGKOmCDQINAg0INBQbU2Xy3yxbxnjlHS8z814rC%2BsuBbL%2BuwBGfiMtwMFGhBoeJdzHVNC3y%2FV0Fp8r8S54JEi5Jjxua9TwjnvZT6pbVH4TRvUcA6zBS8mPIfin7Wg%2FmjF85NenKOenQ80LFLCd%2BiLHQGn1B9keL0ekbDPX2jY%2FLJuS8d01xLuqU90vTSyF0YLNIBAg0CDB%2BUCDc2t6bEZL%2FT92RglH%2B%2F1Mh7v4s23uSquxzYW1KnRER2ZdwQaEGjI4%2F5s5YbWotgu%2F84S54MzMj73IcFtic%2B3CHMuak7peQw%2Blbj%2B%2Fyg%2Bf1bTuRyf%2BFwu1iOdCTT4PMDgx2KNhNfevTWdw1kl%2FA3%2Btv4gw%2Bt128R9PlWDAg27tnRMpwqeKGEOW8M107he2Cfh%2BP9YTRFoEGgQaECgodobuv9kvNi3q3EqZau1RzIe86%2FVUJPvWlinBufVtaAh0OA%2BTaChNefar1EN31GszM9mbZbxuW9dwvle15W%2FQYOs%2FXTBv9ryzeX4hvW4xOezrV7JuodvSjTOV6rnoMdig4TX3f01ncNSJezSUPxtX0GPkNn1%2Bokm%2FfZMHGj4dovHda8S7qnvC6Z13TSqDw5MOP4nqykCDQINAg0INFRXzy0zXux7yXVU2rgflvG431u8jVhxPYYFZ1tgp0I3lf2WhkCD%2BzSBhsaf6y9K6PsNGl6Tg0qcE56sepeoPs578vhWf%2BpzPtS8Msna%2FyRxzZ%2Boe3v1EsJSzwUL6Zdse%2FhmgYZWBhr%2BWeN5nFrSguD0%2BoSMrtdRiXt8tgYd769bPK5TBg%2BVMIf9wnXTqD5I%2BUmZM9QUgQaBBoEGBBqqq%2BdVGS%2F4nWqMShv392a%2B2Lt6TbuVXG%2BhnQo8EMzRsTlHoAGBhjyum880vCaTFZ8jK3Fe%2BE3Voco%2Bzn2zks55fXPLBGu%2BeQn13jeD85o3eCXxeRWfRZlG32TZx%2FclGuO%2FqGdWgYaxNZ7HgiXMIYUzc%2F0bTCev148k7u95Sz7e5RMe64MtH9vtS7qn3t6105geGJNw3M9RUwQaBBoEGhBoqKaWC2e%2B6Oc7ZOWO%2F9UZj%2F3Pa6rJrCW9AQnjvwG8eAfnG4EGBBr6P9cLS%2Bj7rVtQlyXiLl5lzQ07ZHreQxJuHT%2B%2B4tNzi5hf3lHv4tMMzyau9b%2BDqVv4IPd%2Fb3T6jEmWvfzPRON7s3oKNIx3LkeW9Dd4f71CJtfrWol7e8qGPd%2BdvcVjW%2BzQ%2BtcS5q8i6LWy66cRPXBiwnG%2FRE0RaBBoEGhAoKGaWn4r40W%2Ff0jnlz7%2BW2U8%2Fi%2FWNYcWW%2BaW8K1keHPRaIWOzjcCDQg0lHPP26%2BdW1Kbr5Q4NxTb58%2Bf6XmvVuLOQXObY%2F5X55mCu0uo8y4ZneMswdMlnOMxeii7fh6baGzvUc%2Bsdn15qeZzmT54rKS%2FSZ%2FVL2Rwvab8PO%2BzFd27pLwOP9fy8R1V0vz1eLGLjWuoFc8UfJILBBoEGhBoyKiOw4OHM174k8wvvwemDp7JuAd2qbE2i8UfIhbhSeWFYiGqw%2FONQAMCDf2f67Ul9P3oltRmaHBNifPDNbm%2BaV7St8vf%2FGTADOaYSyYvqbfuKf7ZmZ3rbiX10tGC6VmN8wuJxvV%2B9Rz0WGyd8lrL4Hy2K2kOKd5y%2Fpieoeb%2B%2FmbCnr67onvjlNfhKR0Y4zNKmsPuERTOfuzPTjjef1BTBBoEGgQaEGgov47rZrzwN87NX2V9cFzGfXBTzbV5f3yj3mI8KR7KrdPxuUagAYGG%2Fs%2F15hL6%2FoAW9cICcTeFsuaIvTM979lKerO%2BcEPx5n7HwwznlVTbtTMNuP%2B1pPM93ucnGvXsqhePqqdAw9vOZ0iJn7Esgjir6xtq7O%2BrEvbz2RUdc8r7w%2BfK%2FkxGBmM8Z4nP%2FP5WfNLWtdSJ51M3qykCDQINAg0INHRzcelNFxmjyvpg%2BcwXgpeuuT4rCDWQ4PMp65lrBBoQaBjAud5WQt8f1LJ%2B2KXEOeLVYNlMz3v7Es%2F71i4Gi0sOM5yR8XmvHLxe0nmfG0zjb1et4ztVwvEcq6Z5BRqC6TI4p0WDl0sMNayrd6ihr2eILyWk6uX9KjruO312ou%2Ba7VTiPXWxU8MCrqnGri31vMudmiLQINAg0IBAQ7k1nD0%2BpM11AXAj41RpP9yacS8cnUF9PuDzE3izSKABgYYazvX%2BEvp%2BTMv6oXg79IoS54m7igXBTM%2F9whLP%2Bx%2FF57c6tuh7fkm1fDaYK%2FPzP7LEXiqCWQv7%2B5X3A8cePa%2Bmgx6P7dp4LxuOY5%2BSd%2B%2FcXv9QcU%2FvnriPP17Rcf8m8XH%2FpQNjXfyWuLzEOeyhXAPSdmBJNsb3qyl%2BXwg0CDQg0FBuDffKeAHw8dy%2BL9uBfvhSxv3wVDBFBjVaPPiXBXr6UOzsMcocI9CAQMMgzvXREvr%2BmBb2xPwlf3ri2EzPe64SPz3x5kL8eh2YU4qg959KrOPODajBiJIDzs904S3PTMd23jZ94qAF4zE68bU1UybnNazET0%2B86YfBZProLXUvtstfPOE%2Fb5rg023%2FzECPOzY9mLB3ix1Mpq3o2H9QwrW3TgfGfJ5iF6KSd%2B3c3Lz1jrovGcxc07875acdHzSeCDQINAg0INBQbg3vyngR8DvGqPJ%2BmLnEbSJT2DSTOi1U0tuytM9jwQfNLwINCDQM8lzLeLB2ckv7YseS54t1Mz3vDSuYKw8Ohre0b5Yt%2Bd7ukuLNvwY9VH6%2B5F46I5jN37LKA18px3CoumYVaBiZ0bmNrOBTjX8sfpMLMVyyW3BN%2FFzQ6IT%2F7KExIFqE0E4J1u5iiKT4PETivr24wmPfo4Tr7u9F8LED475pBffUx3X9U1zh%2FJeJvy3e%2FDzKoi3YqXisexwEGgQaBBoQaCivfitnvhC4uHGqpS%2FOyLgnLsvsLb4bLdgzEXf7TqJAAwINic51XBkLii3eLvbSkncQmy3Tcz%2BygvnyhmCRlvXLlxJ%2FH%2FvtHinuGxtWl60q2n1tu64tjIfznTt%2Bp%2FuCKncjDP%2Bupdw7CTRUeH6fqmAOeS5eS0M71DfzxoXqN0MM49djs8T%2FrrfvWPRksVNVsfNgF2pevJRQwss%2BW1V4%2FGuWdN0d1JFr7bgK5rAiILJyh%2Bav4p57ueCw4N53qccsNR3X%2FQININAg0ODHnkBDM%2Br3k4wXAq8zRrX1xccy7oviR%2Fv8GdWq%2BM7yuRbueRd%2FqGvLPIEGD%2BUFGtoVaIhvyZXR9%2Be2%2FIH%2FMyXOGRfl%2BLZ98fZkj7%2BPBuuF4KtN%2FzRcOP754liWWasijLRmQ%2BtzbEV%2Fg29q8wP9uAX%2Fh4ND37at8QMVH8dy7p1aHWh4X0dDdoXr27wjXji3BYO9Y6BwYnX4WOJ%2F748n8u96OBgTrNiU3YcGEDx7OHGfFp8Gm7rCc5jhXUIvqe5rPtqBOXpEyZ8he8uuecGsLa3j0Pgy5Xcm8fmWcXXNJeHf%2B5BPcoFAg0CDH3sCDfnXbtoKthIdjO2MU603nA9m3BsHZ%2FiQ8vsW8BnPaUXYxXwi0IBAQ5U%2FEgfgypb3x%2FYlzxu7ZnreM8U3vqqYO4stYj%2FewN4YHuxZ0W%2BhvRp8DRXfDr%2Biwr%2FFFwcrtGT%2BmTHYOPhZ8EQOO8%2FFt6pTjtd87kUGNR5fSzweS2U6115S4YsPv6xry%2FISard4sH9wSx81WCbxMXy5x3%2FvfcERbQk3FOGg4J8l9OiRNZxLWTuK%2Fid1v2UcfH2kojms2HHmoDY8l4hz%2FxrB0X0Egx6t8XhTf9pxuPscBBoEGgQaEGho3kPewSgeLk5rnGrtj4My7o9%2F5rjFYbymXraY32njmrxwIdBgbAQasj3P2Urq%2Bxs7sK1pmZ%2BeeCl4f6bnvmj8NEZVc2jxm2xUQ3pik%2FhJqCrq8vOmL%2B7Ehfm7K%2F6bfHmwbpO2NB9vF4ZvFDsN9viZoB9VfIxrJx6nhdyLDGo8Dmx7oCGe5%2FTBHRXOH68Fvyquxwa%2BDb5WfFHivgGe%2B9yJj2kgnyx4KC5irt7EXZzCMX8mLtaXsbPVHDWcz%2F4lXmvFjhMrdWCuXi6OX1VzWLG4%2Fu2mhQZjoPpzMVj29ADO%2B44aj%2F0Fz5ZAoEGgwWQm0JB%2F7a7LeFHwx8ao9v4YWdL2dKl8PNO6LV9Smp%2F8Fd%2BBXsv8IdCAQENJf5PL6Pu%2FdaBHyv70xN%2Bq3D54APckz1U8lxa%2FzTYoFnczfFOseFv%2BLxXW4qqmf5LjbXPQv2r42%2FxAXPRdMNNwzBLFTi3Brwf48P5LFR%2FzBl1YQO9woOEj5pB3%2BHPwxSIYmukc8v5iHgguSLRj0BSJj3HOQR7Ps%2FF3385FD2R%2BPS4YgzBl9eIhNZ3XwiVfY6%2FEa6yuTwUsWsXOTvHv57iK568inHVeDNlMkeE1MyLu%2FHRIH0HOLHcOLGHs5nafg0CDQINAAwIN6bevy3lhcGXjlEWf%2FC7jHjkz47rNWvH2vNSv%2BLbiAuYNgQYEGhp23%2FZgR%2Fpk55LnjxMyPvfVK36rbPzdtA6o%2B%2B2yuBizbw0LacUi2vQtu46WrHjXj7e7KfbUB%2BvYuaFYTAg%2BFBcfz0xUi09WfA5bJR6TldyLZBVoGNWAe5m65pDX4s4vewSL1XT%2BU8RdXPaIC%2BePpd6uvqTjfirhMd4TnBjnopGZ9OVCwbFxYb7Me6KpazzHyyq4xq4p%2Fj5XNF7bxR2wHqoyLBL%2BPVvUeA9U7Bpyerx2Zq1xB4ZPxN18f1fC74tf1XReU5YwXgu6z0GgQaBBoAGBhrR1%2B27GC4N3GaNs%2BmSTjPuk%2BME5c%2Bbbzn6jhhQ31TuyLW9gCjQYG4GGbM9zqbK2NO1InwypIGj4WaGGiS5E7x3fZh9SwfnOHewUd0ioY7exW4NZWnot1R1qeFOx68olcUH4Y8E8ic9z5vjW4W7BccH1JS12LVzx%2BO2Q%2BPhXdy8yqPE4JPF4rNGAc14meCKDOeSxuLPKV%2BMC3bwl7A718eDLxe6jwQ0lL5gX7i1pzK4qeReeU4PRcc6dvcIXULbp8XlyCmvXfN2tU%2BG1dUnczWCyRPfvi8SxKn7z3T%2BBf%2BcOLQpJ96r4FNhP4vF8JJgh8a5mxc4Xn4pB0uITEndVcE7H5LwYawcrEGgQaECgob6aTZ7Jg6gJ%2BYpxymoLsacy7pUvN6CGxVsY%2F7Do30qP1f1wQqBBoEEvdSbQMKqkvh%2FXoV6Zv%2BRF%2FbE5b6dc7H5W0jeh%2B%2FV4fLt99%2FgA9j2DPK8iQLpYsGnwg%2BDOms%2BvtWGG8Wq%2BRE1bx0%2Fy7eT4SZGziofiMVhcLJJtWzwPCLYMNo%2F%2F%2F8IXgn3id6qLN4Z%2FE9xW4WdaXk2x4NPn2I1OfA4buBcZ1HiM6eJ4xGDUY5nOIXcEF8c54dtxjvjCePPGlvH%2F3SVeTwfG%2F9wv4sL%2F34OXajr%2B60sarx9WfB7F53v%2BEIMgX4tvxX8kfrZk%2BACOf7LYc8U%2F5ztxB6Uqz%2BeHmQR7b674vIv74jPi%2Fd4qk7o3Kv7v8V61CC98MwYjev2U08crrufWmb649HgMEf863gcVddwzhhnfPoeNjv%2B3Yg47Ot47XRd3vXitpuM%2FqKbrY%2B4SzsUOVgg0CDQINCDQkLBmn854gfDVqlLZ9NwvR2fcL7c1pIbTxS3xhADa4xxzlUADAg0VnueaJfb%2BFB3ql9ElzyN%2FGMjD9ooXoh%2FIcP4tFsevjgtCR8YHrLvFB66bxUWIbeL47RMf0p4fF69fzOg8fl9sx9uhgNDt7gcH5e81jNv%2Bic9hU%2FciAg2D2Db%2BPvNAUhe2%2FI30%2F8ZF5Ifi3%2F9iy%2Fuz42%2BB4k314%2BP%2FvwhNXhDcGDxS005N%2FwuZ5LKTY9zNKIddVh%2BKOy3cFf%2FfR%2BJz4MH8c99XQz0%2Fm9k9aBvsUtO1MbKEc7GDFQINAg0CDQg0JKzZRRnfwPzaGGXXLx%2FI%2FKZ3hQbVcoPxvvNHMz1ZvN1nbhBoQKChhr8fZfX%2BTB3ql6HxG79lziWHZl6D2YJr%2FT1P%2FxsmmKpj828R2L3Q2A%2FYBS34xIHnLHkFGjZt2PnPEoNg5oM0flLSOH1EbQf8OY05%2FQavxDQ11fNDme4201SbtOiZtx2sEGgQaBBoQKAhUb3mqTmhPCnrGqcs%2B%2BamjHvmhIbVcvrgWD9WGukMuzIINCDQUNN5blpi74%2FsWM8sWvJ20MXbg6tlXoPJ3YukDbEUY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2BED1WuyB75R%2FveNAl%2F78WL429zX5rLD4%2BXDX5VP529fxhrE58v3Nw7IhRNYh3BEsuywYRiGsbSSkcJZJUFEVTRdlpWVrRxkuCZykyi6oJMfP58St%2BzYoan%2FkkhtVmqqaV7SwJB%2FPy7ssbBLKTOI594lnnNDXo%2BkhU2GTk6cnBjtYr3j8%2FB9%2BEB8ocpoL5WPHNdMPje3WfLp%2BPYH8fXy%2BcxI2RkugBN4PXAEXOEZKYZhGEazgx2wCH7KKisr6zWrZHiQzibx8%2FZhu4XtH3Z0ymaV3JIyScpcHWb2UgjQ2Mn7T9jf4nnPCjsoXs%2B3ghSH0Zzpb8zJiZMTo70An4fvwwfiC%2FGJ%2BEb5yElLYQ3OTk3qiQ%2FL5zMj5WhxAZywPRwBV2hGSj0cotMUwzAMw%2FjiYNjWsGHDGicOV1dXr0HZQJDOTgR9YX9MTbNKUIX5R9gzKZs8zI4dJQGLWuO8ODZdAdq%2Fw25jujFNmkGCG8Rttb81JydOToz2AnyefB%2BN6qfhE%2BUb35GvbO41%2BLF8%2Bzj5%2Bmfk%2B%2B9MTTNS%2Fsi1B1fAGXAHHAKXeICjYRiGsdjBXVgH9PLZ5WLgFrtekIvUWahn%2Fm3cnqmAj50zduiQnnxfwR%2FKMOjpz15KyQmlBewIoiZD%2FfMN8doOIxgtLy%2Fv7d05JydOToz2AHwdPk9r%2FTB8oXziW%2FKRs9LSSU5my8dP0TX1vjjgP%2BKEm%2BAIcQUzUraEQ%2BASOIXXrflUHZLLvAzDMIwFAILojE49OvlBJN1LS0trSkpKegWxrBr%2Fvx6KLEE0P2FqcPx8fjz%2BjrCnUqbmgn7%2BHJHWojZdLokVKnfR8PlA2CnUW0vWslv8vzX3nZw4OTGK1V%2Fj21ZgrePz8H0pk2t%2FQD6xUKFraa%2FH3O%2FPERe8K264A66AM%2BAOOERcsircAsfANXCOZqR0tr82DMMwGoEuPQ2LYZXBdX2CSFZHGpKJwPHzjhBLwawSju3vFvm8nbLj%2FWUdoBVKC3%2Bo13JpvN79qHNGMYb3UlNTUyoSN5ycODkxigWd8G34OHwdPg%2Ffl7Im%2BKe0xhdXOrg5bZq44SlxBZyRz0iBS3aEWzSPZXU4h%2FcCB3lGimEYhtEIjtgZoBWBzira2do6bHeaK1M2q%2BTClJUL3Bv2RNiLCpDYnZvTQgFaLndJTfV%2FU9aUyRTjnSC9eC8DILyUnaAYTk6cnBjFghXwbfg4Bfg74fvkA%2F8rn%2FhRah51xC9ic8QN74grnhB33CAuOV6N%2B3DM1nAO3AMHuSTXMAyjHQdwuSHviC495KCmyh0I6OLnY1I2q%2BSelNUwv5yyOuax6YvNKlla5QSzRYJ%2FDztbc1a%2BEe9hHWqxKRlIrml2cuLkxCiS9Y1PU5%2FJOvg6fB6%2BTz7wndTU69dSfnn%2BGSljxR0vi0vgFGakHKOm%2BR3gHjgILpLk8HIFZhiGYRQhGmuUI3hZnqNzdPHzvpKI4%2FrGLSpcX4n7vhskcQADvOLnq%2BPfPJSynTh07aeL9FoqGVkYGfL6UKe5Pl7%2FsfH6f0oDZtwOlrSwSwWcnDg5MYrCl%2BPT8G3ycT%2FF5%2BH75APHt0L%2F%2FJG4Y7peH5zyEByjQboHwD1wEFwkTmrsR4Gr4Cy4K7mH0DAMo3gwcuTITgQtBG2VlZV14fQHdOnS5f%2BCGDYKYtg2bFfp0x8VDz9PgRzSkC8rmFsas0qa01CMYXLxg%2FHeruR98J7i53WR2XQds5MTJydGMQBfhk%2FDt8lvH4XPS9nQ21flC1vz%2Bp2ta%2FBlcQzX5Xny2fvrPW0LN8FRcBWcxTXN2obLvAoMwzCKAOw6sdtWX1%2Ffq6amZmg4%2Fo3DRoXj30ezSk4PuyLsdpEcQdxrKRu0xW5XSzRVLo7NSE1Dwf4e5HYJu3HxnjcrKSnpaUJzcuLkxCiWjSZ8Gr4NH4evS1k5Vz70dkYrX78fi1M%2BEMc8Lc65XRx0umak7ANHwVVwFtwFh%2BkExTAMw2jLYKeNGuV8iCKkFo7%2F%2B%2BH0f6NZJTdrB%2BvZlO28vZs%2BPatkThtITuakppIBSPquMMq7RjGdmMFfhcGrV4WTEycnRlta0%2FkP%2BDJ8Gr4NHydf91JqKr2dk1p%2FcjInfXpGyrvinmfFRTdrRspv4Co4Kx%2FiCJf5JNwwDKPtklnjMEWaC1F2Uf8Fu227x8%2B%2Fi9tzUzbRl4AN2ceJBclIS6m8NIe0MFOL%2Fxl2frzPPWkaDUKrpW45ZTr6Hb08nJw4OTHaEPBZnfFh%2BDJ8Gr4NHydfNy61rHTwkqou5snKRHER1%2BmdcJS4ane4Cw6Dy9Qw3yG5Yd4wDKNtBWj5hPdBgwatWFNT0y8c%2B8hw8j8KOzp%2Bf3nK9OefSU1DFJf2sK6lTXJ5koJCDPKV1%2Bl0aGvKArp06VJHc6USFMPJiZMTo62gM74LH4Yvw6fh2%2FBx8nXTCpKStry2P0pNQxyfEUddDmfBXXAYXAanFUyYd3JiGIbRRtAB593Q0FBCwMKROIOvUqaFj6rL4ykrBXgvZUfrrb3hfXECNyQs3xSxnRjve7R23VYvLS2tjfscvDk5cXJitCWU4LvwYfJlo%2FFt8nFvyue15TU9f8P8FHHTS%2BIqOIsZVjvCZaxzuE0zUVziZRiG0UbQcdSoUV8aOXJk14EDB%2FZgyJXKACjlekw7UxNTy88qWVqylWP1Pi%2BP935YBHG7sesWP6%2Bi0xPvtjk5cXJitIn1LOn3VXT6vRs%2BLWWn34%2FJ1xWb%2F85npEwUV%2FE%2Bz1WZ7npwGtwGxyWX6RqGYbS95CQCl3pNEd4r7r8o7KmwCSmr8c2HdX1SRDZXpPZC2F%2FjvTOY8WAaSJGmjJ8rTWhOTpycGG3Fl%2BOzJP2OwMfB%2BDR8m3zcxFQ8pyaFPYSzxVETxFkXwWFwGZzm5MQwDKPt4VNlXWVlZWux45YyyWBkG99MTQ3wxZacfKJdNxormUZ8awSopzKsDFnKIPl6Sws7OXFyYrQF4KvwWZJ%2FZ7jsqfg0%2Bba35euKzX9%2FnJoa5N8UZ50Oh8FlLusyDMNoowFa3hCP9CLSk2Hbx%2F2HhV0b9kTKNOYJ1GYVIbnNErG9FfavsOuD1H%2FPcK8gt%2F5B%2BCt4iTg5cXJitIHkZAV8VnzX26ic63r5tLfk44rVf38ojoKrrlV57vZwGZzmhnjDMIw2GKDJGk9QtPO2UdiPw06K%2B29MWaPhGylTRyk2csvrlnlv7C4%2BFHYamvmlpaXDevfuXT569OjO0sv3zpuTEycnRmtCB3wTPgpfhc%2FCd%2BHD5Mvelm%2FL%2BwWLzX9PFTc9Hmv8RjhL3MXU%2BPqCExNLCRuGYbTVYC2IrXsQHIpd3wxnf6CGL94R9nzKanqLrWZ5bsHtFL3PK%2BJz2I%2Bm0tra2r6BbmGcoLjEy8mJkxOjNaETvgkfha%2BSmMfPUzZB%2FXn5tLmp7UsHf976nqD3eQdcBWfBXXAYXOaExDAMowjAMXhZWVm%2FcPIbhHPfWRr5l4Q9mjK1l2IjuPmlKV8Puz3e%2F5Hx3neKz2Bd9PLjMymPgG55rxAnJ05OjNYCfFJ8j93xUVJa3AnfpQ2l11PxSL9%2F3voeK266RFPid4a74DC4zCvEMAyjOLACk3UDAzkaD0e%2Fa9x3XNhdKatdLsbSgMISLzTzKYc4N977L%2BMz%2BBZTlsvLy3tHAFDq5eHkxMmJ0VqAT8I3sYkS63iH%2BJ4PiLvPkw97rx3467fETcfBVXAW3AWHwWVeIYZhGEUAanTDsXfJE5SysrLNw%2Bn%2FKn51TcoGXU0vYrJD%2BWW8AtObguhOCNLfV1OWh3B6klwm4OTEyYnRStYvPomBi2qC3099gjdr%2FY5PxamwmNt0cdI1cBRcBWcFKuEw9ZsYhmEYRYAOSFKi%2FFJbW4u08PBw%2FD%2BM%2B89J2YCr90UKxTr3ZHLYK2EPBtlfFe%2F9T2E%2FQDNfU%2BM7JTdXOjlxcmK04LqVdcInxXe7ftjuYceE%2FSXu%2F0fYq%2BnT%2FSbFNtdkurgITjoHjoKr4Cy4SxLwFjAxDMMoFuL75JNPlrv66qs7Dhs2rBQ5Rkqb4v6jUqaZ%2F2zKJvFOTsVZzzxDpMfQsvvDLqbJMgLXr0UcS3P8Cqjj8Bk5QXFy4uTEaAn%2FjA%2FCF%2BGT8E3x%2FR4Uv7s07IGw%2F6SsF2NGKs6%2BwMnioGfFSUfBUXAVnAV32T8bhmEUIXDugwcP%2FlJJSUmv0tLSr6IAE87%2FXAKdggSlGEu8IL8pSlBeDPtb2HFBfjuGDY7AroxyAUkLm%2FycnDg5MZbpmsX34IPwRfgkmuBTU1%2FgS0pM8GFzUnGWcuWJCev6XLgJjoKr4CwlJoZhGEYxkmBYxyC%2BahrCw3YJ%2B0OQAcpd94W9HDYpFW%2FZALuO1GwzXfnC%2BBx%2BghpOBHf17M6pnrmjl4mTEycnxjJE48BcfBC%2BSApdP8FHyVeNl%2B8q1rLbSeKe%2B%2BAiOEnctA5cJZ%2Fs5MQwDKPYg7cggVXD%2BW%2FBcCt6MFI2OZ7Jwx%2Bk4m64ZHAZtdsM9zqExviamprV%2B%2FbtW1tZWbkiu3ReIk5OnJwYywr4HHwPPghfJLGOQ1I2LPfVVJxT4As3jj4Q91wLF8FJcBMcxbXsxMQwDKMdANWTkpKSHmVlZWtJEYYA7oyU9WMQ%2BBRj6UBhcIccJydFJwcRjo7PYbPa2toh1dXVNXGfgzsnJ05OjGWJEnwPPghfhE%2FCN8lHvZuKew7VHK1nuOcMrlc4CW6Co%2BAqLw%2FDMIx2AHbqysvLy8Lx96qsrFxLcz9%2BnzK5SnbqZhYxGWKUSfwz7Kp4339EFSc%2Bg03j5wHsYHqFODlxcmIsK%2BBz8D34IHwRPgnfJB81vsh98Uxxzs1wEFwEJ8FNcJRPsg3DMNoPqOH90qBBg1bs3r17zyDEEUEMe6dsajwB3ETtaM1Nxbdrl9c402R6b7x3ek8Ojff%2FHUksVySXETg5cXJiLKP1is%2FB9%2BCD8EX4JHyTfNSkIvXBc8UxE3Vd0muyN1wEJ8FNcFRyD6BhGEb7IUT%2Bg0JMBDQroQ4TxLBz3MWwL0oJXhMpzkzFWeI1LeztsH%2BH3RGEeCZBbHwOm5SUlPTUbl3ehOlEpXiSk2fCJhRBYPeuk5M2738bxUmkntgT36OSpjPxSfJNb8tXFWMp10xxzGvinJPgILgITpJyYrL%2FNQzDaIeAHCOW6xPEsGUQw29SVk7wSMqO2j9MxVniNVPv7fWUNWLeINWyb6CrHwFfVz6XUaNGWSWmDQZ%2BmrA9hMbi%2BF73jftODLsl7DkFRG19%2FSKJzanfn52ctM01im%2FBx%2BBr8Dn4HnwQvkg%2B6fV24H9fE9dcBffAQXCRS7kMwzDaOSBJTSQeEfajsOPj7uvCHg17I2xqKs6du%2BkiyDfDHgw7nanxlFfU1NRUW1q4qJKTkwqSk8lFsH6ZeTFGycluTk7aHOZJB%2BNrVE76A3yQfNGb8k3TU3GeXE8Vt8Ax18E54p4RcJE2hQzDMIx2jA4RwHUPUhga5LAdw68isDtZwRxDsSiDKcaa57y0gGD1%2BbAr4%2F3vH5%2FDVyLgG7DqqqtWoBSjBMVoQ8nJfGVd%2B8R9f06ZLGthz0lbNaRX5%2FWcVFdXfz%2BSkw2dnLQd4FPwLfgYfA0%2BB9%2BDD5IvmpyaSmqL0fdOELfcAtdoGPB2cBBcBCd5lRiGYbTzYA61mLKysn7sXDGZOG4PivsvCPtHymR3i5Ekc%2Fso7K2wO%2BN9H0VTak1NzXoR9PWPQK973759V%2FASaZPJyWrxXX5Nc3yOUuDHen5NCcoE3WIoIn0gG1dgY%2Bez92XvFdi7n2OFj8n%2F3fx%2Fr%2FC58ucfX%2FC68tdJ0%2FAkBa25mMMt8b6OjLW6cwS6I1ZeeeUBAwcOrPR6bf3gO8K34GPwNfgcrdE75Ys%2BKlJfm28Kvadr8QK4RpwzAg6SWqJLaQ3DMIy0ApN4GXoVtxvF7a5x3zEiS2qfZxYkJ8WYpBAUPhx2frz3X0paeZ2SkpJeETyUenm0reSke%2Ffu8fWttIqkWXdVLxWNxjfre35WxkkKjcdM4Ua29fGwx1JWbvKI7GEFUg%2BlrOTm7ymbyUAT7xjZvfNZfv99euzf9W8f0t96uODvP6rnfFyv4Um9Jl7bM3qd7Ka%2FGPbflE3S5t9dzvuqqqraIQLddVdZZZX%2B7MQ7OWn9wKeUl5f31gT0HWKNHqDNoEfki4oxKclP%2FWZqgwAhkmPiM%2Fi%2BOGdVTYP3%2BjUMwzAa0ZnGTMihsrJyUFlZ2eZBFr%2BK%2B69WYDQlZbt5xSgtjLEzTT%2FCrfEZnKIyg20oDUJr38ujbSUnBSeB6xP8IVEadnj87uywv%2FA9y1Dwuj7smpQJQVyeMjnti8IuRNI1jN1dktZz476zUjas9LSwU1I2KI9%2BlhPns5P0u1P0WP7NWfwN%2Fa0LJBd7oZ7rEj33VXotvKYblUzdqk2Ce5ToYDfF%2BzkVdad4r18fMGDAWquttlqfoUOHlsfPy3sJtG7gU9QTtW3YL%2Fgu4%2B7b5GsnFmlyQmLCqckk%2BdqrSMrgGjgH7oGD4CKvEMMwDAN0ECmU1NfXV2py%2FO4KxtjZ5Rg%2Bb84sxpIDki8aNB%2BL9309jcZheyi4ZTfPZQZtCOxMMyuBYW6UdoV9V1LRzJA4jgRUdkL8%2F7FhR5O8hB0W9x0S%2F%2F%2FrsIMpOQk7kCBKQeS%2Bmge0V9iPw5jk%2FaOwPcJ%2BKNtD9%2FG7H8ff20vJ0b78Df2tA%2FW3eY5f85w8N6%2BB16LX9Oe4%2F0ReZ8pOfdhZvzTsMuRm4%2F7fcSpUW1u7SSQkQwYOHNijf%2F%2F%2BHlrXBpJnnVLjW0ZrDaLQxckZjfDFKEACZ8xOmSwyJY%2BcEJ2JCECXLl3%2BD86Be8RB7jcxDMMwPo2RI0euEMnJykhbxv8eGXZ7ynb0xoo4Zxchec5IWd0%2FtfwPRcBwOYGjpC37qlSmk4jTiUorB03h1dXVNRUVFavGbYN6T3Yk4aRBXknCL5Sw7BW2Z%2Fz%2FDwn2lcgwDG8n%2Fk1VVdW3KZ2SzPS2arLfMp5mi7DNwr4a9pWwTWVf0X2bxeO24LH8G%2B2Sf4O%2Fxd%2Fkb%2FMcPBfPyXPzGngtSmj2KUhoDiQZYXK4EhgSmtGRhG3Tq1evtSM5WXnYsGHVkZh0tYBD60xI5Ds64UvwKfE9biX53LwXipK9D%2BSLis2%2FztYGEJtclClyGnhErOPtg2v6wzleIoZhGMbnguFXXbp0qdNQsP2CQM5LWUkJCcr7RU6evD9q%2B%2F8WdjxDwVCQoXmVgFeBn3f2Wjk0u6cbpyckKJWVlUi1bhiB0GbIC6MMpGQBqeEtKS1BMSnW%2FEgeJ1nt9SOxwRoiCVi3trZ2bSRf43Frhq3BuoinWj1sCE85n3Hf6jxGj12T18Df4G%2FxN%2FnbPIeea0Oem9fAa9FpDwnNNrzW%2BN03lcjsgsXP3%2BYx8ffWiXW5Sp8%2BferWXHPNbg0NDSUR6HXyCmh16JArdOFL4nseRkKaMhW5u7Qp8r58ULFu%2FvD%2BKOdCZe5cEm%2FWPFxTMHDRMAzDMD6LTz75ZLkgjwoCMe0gUwpDXfyYlDXjFsOciAWVHcxUcMAJ0RNhF8R7%2FymBY11dXZ%2FevXuXS6bVwV%2FrR0e%2BKxIUTlAiKOyl00Bq24coaRjKz6h6cT%2BD8GK9D2Anl34VLIL%2Fvhjff1hvJnmH9YiAqp6gKp6nVlYzn9Uyr4HH8Fj%2BDYkSf4O%2Flf%2Fd%2FHl4Tp5bw%2Fh4jasxKbvgta5BqWU8Zm2MUhgeo79VxURtJ8%2BtGp3yxITvnQZwlQdemDIRhLHyPbNScZbNThZ3MJvnQjiFZFvlwxVwjpeIYRiGsTAsR8MmgZL093%2BoZuKrRKSUHhSj9n5eFz1dRHqj6vq3r6qqWpMAt2%2Ffvt3ccNw21jAJCicoBO30oNAkz7omYWFIY278P%2FdjqHzxuPmNRl2Mv4MRaGLxHLmVzGeN9%2BePy%2F9d%2FncW9Bw8d%2F46ugn5a2T2A0FcWKWsgsfxtygTKhgW6rLDVgh8Br6D5JQ%2BKMr7CNBTJsjwX%2Fmc2alJdKTYfOsH4o6rKE2kn1HcMlCCI16zhmEYxsJBIFVRUdGDchTVRtMAjKIMMqlviUg%2FTsWp3sX7oWkTGViapvek1CY%2Bk9UjGKxVUGq0zYRlSay1vI6l8ZqMpQh8RiQlddXV1ZRzbcHsHflTfMx7RepDc4Wu2eIMuONU9VNtBbfAMZZqNwzDMBYVy%2BclCBy9q%2BadnT5UZejJmDpfglJsZQgMvmPexNVqQN5dPTgDNCTMMAxjkYDPwHdo7g7CC0ekTNL6SfmaYpUOni2ugDNuUDnXN%2BEUuAWOgWu8QgzDMIxFwbwaaUoRgkw3oP8iNdVIo2yVSwt%2FnIpTWphyi%2FvjvV8cgcXv6b%2Bh1p8yGy8PwzAWFSrPo2doZ3xJ%2BBTm2jCv5hX5mmLzn%2FlMk%2BniCjjjQvXwbQCnwC06hXYPn2EYhrFIaJS9pFaaXT816O6UMnWZe0WqHxYkKMVGrrwv1GVQKLsHxTKUyzg9odE5uaTGMIxFw3L4DJ28%2FnwB6ofTi9B%2F5onJh%2BIKOOPPkudeDU5R714uz24YhmEYi45Ro0Z1RKVItdLo8jM1nsGMr4l8ZhYhuaKag8LMO2FPh91CKQaNrPH%2BV2HHT8PuOjpRMQxj%2FoQkSZABX4HP0JwcyrlukU95Rz5mVhH6z5niBjjiUThD3LEFXAKneIkYhmEYSwQUgoJY1tPU9D%2FPN9F4WirOnT%2B0%2BSfqPT6UsonGKJetTWM88q0azmiiNQyjEB3xDfgIfAU%2BA98R958hX%2FKmfMuMVJwnz9P0Hh%2BHK8QZe4hDKr08DMMwjCUGco%2FMXNDQOsqbTk7ZlN%2FnRLLFWjNN8EDDKlONr4r3%2FyuG9tXW1g7u1atXPcGHTlAMwzAagU%2FAN%2BAj8BX4DHxHyuTYn5VPyROTYuzZmyhuuBWu0DDfreEQSQcbhmEYxpKBeQoMfGO6dRDMDkE0B8Td1E7%2FI2UDxIpRCpOgIR%2FO%2BHrYnfG%2Bjw3btbKycmMmj8fnUa3BjIZhGI3QbJ1qfAS%2BAp%2BB78CHyJfMlG8pRrXDueIEuOE8uALOgDvgELjEK8QwDMNoFrJlEnUQ7cAglw1WWmmlXYJ0jo5f3ZGyumLIdk6Rk%2B3DYRfG%2Bz4oyHbH6urq9ZHDlLSw%2B04MwwDL4RPwDfgIfAU%2BI2VKhw8X%2BWbOHHEBnHAHHAFXwBlwBxzizRzDMAyjudAZwu3bt28tu4EMJQzi%2BWXcf0XYM6n4yxQmpUxd5%2FYg29Pive8ftl0EHqszydvLwzCMHPgEfAM%2BAl%2BBz8B3yIdMSsVfBgsnXAFHwBVwBtyhjZzOXiGGYRhGc6BjLitcXV1dE4QznMGEcf%2FpYQ%2BGvTFfglKMDZ5MOUav%2F6YIPE4KGx2fATujVV4ehmHkwCfIN4zGV%2BAz5DveSsUtIDJBXAAnnA5HwBVwRoF8sAVEDMMwjGZBozTm8OHDO0sac0AQz%2FZx%2B0cR71Nhb6dsV7BYpTFz4kWl7JoIOn5Lo2t5eXnvkSNHepCYYRgJX4BPwDfgI%2FAV8hn5Bk6xSq9PEgfABTfBDeKIARq22DlZet0wDMNYWomKhoqNDOLZNwjonLjvrpSp0LyXineoWL4z%2BGrYfWEnMvGZ8o3%2B%2FfuXeaiYYbRbzBtaiy%2FAJ%2BAb8BHyFa%2Bm4j5Zni7fDwfcBSfADXCEh9YahmEYywRlZWXlXbp0%2BT9N%2FD00yOiiuHtM2H%2FDpqTirqn%2BIOzJsIuDgPeJ978Rza89evSo0A6hT1EMo32hE9c%2BPgBfgE%2FAN%2BAj5Cs%2BSMXdkzdFvn8MXAAnwA1wBFzh5WEYhmEsdSAHGaSzMjtjQUa7BRH%2FIWUa%2Fv9K2WTgYiPfQjWaqWEvpax04ffxGYyKgGTt6urq%2FgQncf%2FyXiGG0a6wPNc%2BPgBfgE%2FAN6Ss5PUl%2BYxiVTP8RD4f338VXAAnwA1whKWDDcMwjGUC5CCZfBwYUlpa%2BtUgox%2FF3TR%2Bjgl7NxWnVGaeoMxOWW015Rqns0Ma738bGj%2B7d%2B%2Fes6ampjS5jMEw2guW45rn2pdQyDY6NTldPuJt%2BYyPC%2FxIsfnGd%2BX7T4IL4AS4AY6wdLBhGIaxTMAEZGqrg3h6VFdXrxGEtK2aP28IezllNcgQ8kdFSsbjU1aucU2896NQ5ZG88qqSFnbfiWG0D3TgmufaxweEL9gTn5CyRvgn5SuK0Qd%2BJB8%2FXT7%2FBjgALoAT4AY4Aq7wEjEMwzCWBTqxI9a7d%2B%2Fyurq63kFIGwQx7RX3n58yZZr3wyanpknIxSgt%2FFrYQyuttBJ6%2FkcyBTp%2BXq%2B0tLTG6l2G0T7AtU7TN9c%2B5UwkJvHzlfgG%2BYhilA7%2BSL59snw9Pv98OAAugBPgBp2a2BcahmEYywQdkBXOExSp03wn7j8u7K9hL6RMvQXyml2E5Mx7os6aJlA0%2FS8NUj4wPoMtkBH1bqFhtA%2Bg0NWtW7c%2Bce1%2FTZPgL1Ni8l%2F5iGL1f5Pl41%2BQzz8ODoAL8sQEjkg%2BRTYMwzCWEeip6MCuoci5b07OQU6XKWB%2FMWxcylRqipGcaXJl15Cpz7eFcXqyfVlZWX%2FJChuGUeRoaGgoYZZH%2BL1vxv8eHXaHAvax8hHFmJzMkG%2FHxz%2BIz8f3wwFwAf5Pp8cdkvvvDMMwjJZIVIKcqoOcGsJ%2BGHZc2LVx%2FyNhr6fikRbOm%2BEhZnYNkQd9M2VDx24OOzze93aRnPRzcmIY7Sc5QZUqrv1vsEERdmvYMylrhP9Q%2Fo8SqGKSEZ4i3%2F4Ivl4%2BH9%2FfABc4ITEMwzBaHOXl5QweGxzktLWGb6HcdUvKhnJNTMVTZ03z53glJeyOPhZ2e7zvs%2BJ97xfve9OSkpKeLusyjPYBNiLosYgEZbPwA78IOzdlZU5PpExG%2BJ3UNICxWJKTifLtt%2BDrNYx3azgALvCqMAzDMFocDCCLoLxXEPSX2UEM2z%2FuPi%2Fs4ZQd%2FxcDIbP7yWkJ057R9L%2BLZvgg5BPj%2Ff4ybr%2FF0LH4uXLUqFEdvSoMo%2FhBX0V1dXUNMsLhA76t0tZT4vYvKZPXfTrsDSUos4rEF46Tbz8PX4%2FPx%2FfDARpEaxiGYRgtC3YPaYJkOnLYOkHOO6JglbL6a04Z2ppi19z5jBMTasjZCaVc7RZ2SBk4Fu%2F1x%2FSaxM%2Fr1tXV9amsrFwxuazBMNoF2IhAMpcBjOEH1meTInzB3qh2MS09HnJn2D%2FDXklNk%2BILfUtbPEHGp9%2BBj8fX4%2FPx%2FXCAS1oNwzCM1oJGaeGw7kHSTI7flBKHuB9JzedSk6xwa667LtTtp6b6QyUk7ygpoUzjrpRNQT413uMh8R53j5%2B3gpx53%2FX19ZV9%2B%2FZdwcvBMNoHDj300A6cFtTU1FRXVlYODD%2FQoLlPe4ZvOIySz3gYPXhjUnbi%2Bl%2F5FE4fOE2ZqoRldiv2jXPlu3P5YHz6lfh4fD2%2BD99v6WDDMAyjNaEj5Q1hXSJQryorK1sLzf%2B4%2F7SwB1JW1kCwP00k1xoJeI6SEhKS11LW1PqPsL8puKBM7fgg49%2BE%2FYQSjtLS0q9UVVX9H7umBCfxc9d4TGcvB8NoN1iOHrMBAwas1Ldv39rwAQMiSRnOQMZITnZmWnz4ikPjcSeGXRh2fdg9YY8qyMc3fiDf2FpPmOfo9X2o14tPPw0fj6%2FH5%2BP7JR3sklbDMAyjdRA0O4iQEwF6EPIqKnX6ffzuupSVNbwmcpvZSgmYExN0%2B%2F%2BTsnrqm5WQHBN2IDuhYTvFe9qSQWPqLxlYUVHRI1DB%2B1ZJg8nZMNqR7%2BOa58SUkk5OT8N6aWI8fSgbSyjkuwwpZHMjHv%2FnMEq%2Bbk%2FZAEMmrLdm2fWZ8t2vyZdfh2%2BXj18F34fvhwOSS1oNwzCMVkTQjbNP2EUsKSnpESS8CbuGYWeIhJ9Mmbxma5mYXFj3zWt6N2U7mffTzJo3uhNUMFyRnhLUaBi4xhT4%2BF0FyjQ1NTWlBCYFu4YmZ8NohwkKPgBfgE%2FAN%2BAjmB6PvDjDCelJCT%2FydU2S%2F3X8fHrc3pCyoY1siryvTZLW1pMyTb77yXi9t%2BPTdSK0Cb5e6oQdCnjAMAzDMFoXUUPKHPfTLBn22%2Fj%2F81NWysDQroktRLrUc%2Bd109R5U%2B%2Bd95TwuiizQBb4orBjJIn8rerq6vUrKysH9enTp47SDRHxciZiwzAWYcNmOU5UI2np1qNHj56RuKwe%2FmRjpqmHnzkgfMwJYZenTH6YU5RcfnicfOXU1LL9enP1OvCRd%2BPL8en4dpXvVtgPGoZhGK0elDdoavJIdglRtUpZczwlAeNT65hTwikJyls0uV8Tdk7Y0QQMYT9QKca6NHtGcNFYU62yBcMwjMUCE9MHDRq0In0pbHaEfxkh2fUfhR0cDzkuZWWklMHerc0SZim9nVp2TgrJCT0xCIJcqXKu3fDt%2BHipExqGYRhGq0cJDeK1tbWDaRoPMtsj7mMw45iUlU%2B1xMnJTCUmr4poKTW7kFOSsAMJEoJwR6mRdb34eQglXPSTDBs2rFRlW4ZhGIuNTz75pLFxngQF30ipV%2FjGYSr1%2Bhr9bJIlJ1E5PuySlJ2mUA7LNHZ6PlpiTgoJESc594ZR6roHPh3fzvvA1%2FvbNQzDMNoCGhvj%2B%2FXrVwOJIberRlDqq19ZRiQ7%2F5wSyiRoPH0kCPYm1XsfFLe7qKeE%2BSyrlZeX945bFMfKeQ%2FuJzEMoxnQ2JdCgoLkrk6Xu4evqWYThH42NkXwlTqZ%2BE3cnh12W8rKvVpqTgrPh%2Fzx9eqTQTp9ML493ovVCQ3DMIw2g3nSwpQxqJl8z7j%2FgpRp%2FY9Pza%2FtP1d%2Fa7b%2B9mQ9z3siV5737ngtV8VrOUn13jtWV1ePoMyC1%2BmeEsMwlmGyMq8nhUGOkbT0IPBXT8rOnKLELZK9lJ2OCfu3khQa5zlJmSJfl%2FejNFeykvvRfFOHctzzNbtlHXylpYMNwzCMNke8lDFQZ03Az4kEiUDcf2zK5oa8KIKdIhJsbj1%2BdhhfFZn%2FPeymlEl30nx6CCSreu8G5hLkPSVMe%2FZXZxjGsga%2Bh5MITiTUk7JB%2BKkdJD%2FMnJSTwy4NuzXswbCnUlbuNV5JRHPOSJkt34yPpu%2BFKffHMNsJX45Px7dbOtgwDMNoc8kJ5MWuIGULlE4F4f4qfndx2P0iPcivubT9P9bfIjHhpAR5ToYnnk4Tp2SNvyspzxHUe8fr6stcAveUGIbRksBf4oNIUDTItn%2F4qDXDV20Ytk34re%2BH%2FTzs8Hj42WE3pkzQ45XUdBLdXKfQM%2BSbnw%2B7j40dTprpx8OX49Px7bxmJyeGYRhGm0tSwjqh9c8phVSw%2FkRpVcp2%2FyBWyq%2B%2BaDlCXndND0u%2B04cU50M8B8%2FVtWvXnyIJzDA0EhLNHKim3pu6b%2FeUGIbRSnzlZ3pSmKlEosLQVxrROYGO%2B%2FcL33a8yr0YGEsv3djUdBK9JP0oc%2BWT8c0PxHNdEc9zlFQX1%2BP14NPtKw3DMIw2Tbo0l6N%2BJXle5oeckLJSq6dTtuu3ODt%2BkCflW4V9JchtUiqGCtdd8fcvi%2Bc6GvUbGjiD6IfX1NT0Q3mLZCS5p8QwjNafrDQayQqnKZSghh9bL3zbduHX9o7bY%2BMWiXZmSNEX8pJ84fz9KIuTqHwsn0rZ2I3xHH%2FWqfPXpWDYzX7TMAzDaPPQxOTeUsT6FpPX4%2B5zU1Z6RcP64tRLz01N5Vt5XwllYpQ5XBh2nKSB2enbIgh9zbq6ut4MQVOzu2EYRpsCmypsrrDJwmaLVL12R0Erfs1mDz11N6esx47E4jUlGTPT4s%2BDwidzsn1O%2FP1fhM%2F%2BZjzf2iUlJb3w5f42DMMwjDYPapQ5PYFYpdy1U5DekSmbNUJT5%2BI0xUOeTCx%2BWQTK0LIzGfTIbiJ%2FO55rM54nnmPVioqKHiQmkLuHKBqG0RZBw3x9fX2Xnj17do%2FbXgXSw19D2SvsZ%2BpHYZgsGzWUe1GaNSkt3sn0bPnk28N%2FHqEysnVra2v74sPx5f42DMMwjGJAJ5IDkgRITtOF94v7r0hZ0yUlCHnpwYJKED5WUjJTiQknJpy6XKnShv2kJLMRpF1SUtKDWSXl5eVl7PSJUKmTdnJiGEZbRAd64%2FCj%2BDTKq%2FBxnGbE7eryqd8Jf7g%2FpVjx%2BL%2BkrGH%2BdSUos%2BRDF5SoFPreKfLJV8ivbozPRupYJbGd%2FFUYhmEYRUGsnFqMHj26c%2B%2FevctpTEd9Ju4%2FTUkGddJTU9Pck7kiUggVaeAJKWt2h2ifSZmCzOXqK9krbrfPd%2Fe6d%2B%2B%2BkiSB3VNiGEYxYl4%2FCpK%2BJCrV1dUrM22esll6RNi0id8jPEKZ13Nhb6SsaX6ifOqsAl%2BbzzWZKl%2BMTz4NH42vxmfju3Xy7A0ewzAMo7gQZLoC6jOSxzws7ro%2B7Mmwd0SO%2Bc4ejZyTdP9%2Fwh5Nmd4%2Bpy0nU2uN%2Blf8jS3j732ZkjFOZjyrxDCMduZTO1HuRYKictatw%2FZgplP8%2BlQlKcyXYtI8TfPvpkxMZE5qKpWdKl%2FLsNrr8M34aHw1PtufsmEYhlHURNqlS5d6ygU49WACctx9W8qUu9jZy6Uwp4ksae68OwwFrmNp0Ix%2F8z01hDaojKsX5KyyA8MwjHYD5o2g6EXDPHNIKPNilpOSlF0lQHJ8yjZ2xoQ9qwRlemqSYh8rX3tr%2FPtTNPxxI3w1PtufsmEYhlHM6BhkWYluf5DfqPj54DCGit2VMjlgSrioe35PCcud8fvzmZIM0aL1n88rYX4KswCqqqq6FtRDu5TLMIz2hMZ5UvhAfGH4yYrwr3XhI1dmkCMCISh7IRoStxfL15KgUCo7VT6X0%2Bm%2Fxe%2FPCjuI6fT4aHx1ymZAGYZhGEbxEil9IYFVggA3IeGI29%2BlTAZ4TMrqo%2FOZJbdBlvxej9sYrX9OSRoaGko8PNEwDOMziUpHfGNYl%2Fr6%2BsrAwPCdmypB%2BX3cIuN%2BR8pKuF6Sz7037AJKweg1UYP9AHy1%2FathGIZR9EASk3IBnYBsJjL8bfyKExSkgZHCvCQsV%2BLaCbIMkh1E6QLNmf4UDcMwFo4tt9xyeRKUurq61UhQkB2mNDZlZV6XpWwYLn1%2FZ8fvfxO%2F30Wn00M5fYn7S%2FwpGoZhGEUPhiGiMINef01NzerqP0FPfz8aMbW7R2%2FJLiQvYWuxixePrSax8bwSwzCM%2F418Pkp1dXUNp9WIh4RtzoYQvSiaD%2FX7XI497tuwtrZ2MPOhkGL34FrDMAyjvaAj9dEDBgxYqV%2B%2FfjWUagUhroPyFn0o1Dsz3T1IdHjkMH2poVZ5QV7K5eTEMAxj4VhOvhKfWYIPpYcEn0qSwgBHzYf6Nr43bJ1IYvqzCVRZWbmi5kO538QwDMNoH6TJjl5eF00PSV1dXZ8gxaEkKWFrU4YQSUstKjTJM0sMwzCaI1lZjpOUSD7qOCEJn7tu2HqRlAzDBzPThI0jFLp0Qm2%2FaxiGYbQfIIFJkoKOPqQYiUiPPn36MK%2BkLycqTEL2p2QYhtG8wLeGm63F34bv7Y%2FvxQfji102axiGYbR3LKchYiX9%2B%2Fcv4xQFkkQSUyVchmEYRjOCXhJKt%2FC3iIzI95bgi9k08idkGIZhtOvkJKwDpAhhqheFWmfLBBvNsbaK2Qzji14XHXN%2Fi6nxnTlRLuUyDMMwDMNYVGhXd15Cy%2BkagRUJLUEWu7%2FU1FO2wukbu8M0AqM81E0oKysrZ3gnQguyyq5du1bJqrHS0tIaWW1u8ZxLZAV%2Fq%2FFv589V8NxVvJb8dfEaea356%2BY98F54T7w33iPvlfecJ%2FV8Fvn8H%2FcMGIZhGIZhGMYyQATenZjhgKACqm%2BUAjLPAcnUCN7rkamOeL5PBPf9kaGOYJ9BdMx6GMIMh7A1mICNIlz8fu2wdcPWi8c1hI0I2yAeu5FkrrGR8bTz2yb%2Fw%2FLHbYwV%2FK2NkGzV86zPc%2FLcqCXxWnhNvDZeI6%2BV1xyPWZX3wNTvsH6RqPSORKUnjc2oK1GaEwlKt0GDBq3IZzJq1KgvXX311VZaMgzDMAzDMIylCYLu3XbbbYV11113pYEDB1b26tWrHqWhqqqqVVAgigRljQjahyvZIMkYGUH%2BV5FODft63Ldd3PctzdbZOex7cd9uTNAO2yPu3zPsJ3H%2F3mE%2FC9sXi6cutP1kP5f9QvbzAtuv4PE%2F09%2FC9o6%2Fv1fYj%2BP5fhT2w7AfhO3Ka%2BE18dp4jbxWXjPS2gzHI7khoSGRife4Fgp3KNvFe145bnvT5LzqqqtWjBgxYsV99tln%2BU8%2B%2BcTNzYZhGIZhGIaxECxub0Wj7DRKQmFdhw4dWj548OBaEpL6%2BvpByKAiPx3JyQYRrH%2BFmQ1KQHbQROxdlXSQcPwsft4%2F7KD4%2F0M08POIsKPDjg37c9x%2FUtx%2FatgZ8f9nh50Tr%2BHcsHNk%2FHye7PywC%2Baz82XnFf47%2Fo7%2B3pnxt0%2BL5zk57IT4%2F%2BPCjgk7Ku4%2FnNfEa%2BM18lp5zUpkfkjyEj%2FvpMRlG5KWeO%2BbxGewPgkZQ0179uy5Sv%2F%2B%2FXsPGzasOj63sm222aYLp0yUwaWmngL3tRiGYRiGYRjtB%2FQ85PNs8uZbeiTol6B3gj6KvPeDfou8x6NLly71JSUlPcJ6xZ%2FpTRmTSrNW5aSAEwNKoTgR4TREici3dQJCErIXE6%2Fj5wPi59%2FEz4cpATmGZIDEI34%2BK%2By8sIvjvsvjvqviua4Juz7sprBb4%2F474v6%2Fhd0V%2F3932F0yfr5Hdm%2FYmPnsXtk98%2F27u%2Fh78XfvjOe9LezmuO%2BGsGvj57%2FE766M313Ga9JrO4vXqgTmTyQu8fPv4ueDNd07T1p2j5%2B%2FSzJGwsIEcE5YKFWLz3pNlYUNoiSMAXx8pmE9%2BYzjs67jM897X%2Fgu6HPJ%2B1v4rvjO8qZpEhy%2BUycuhmEYhmEYRpsCzeujR4%2Fu3NDQ0CgTTU8I%2FSD0gpBs0AMSgfEw9X1QgrVh3LcJwXX8%2F1bx%2F9vG%2F39Ticd3C05ASD72zZOPeCqSjyM5%2BYj%2FPzH%2B%2F7Sws1N2enFx2OVhV4ddp8TjtrA7lTjcF%2FZA2ENhD4c9FvZE2JNhT4U9E%2FbsAuy5sOdlL8xn%2Bf3PLeDf8feeDvt32D%2FDHg97RM%2FNa%2Fi7XtPdeo236TVfG0YCdVnYRSk7lTkz7NSwE8KOCTucnDDsYJ247FNw4vL9uP87YaPCto%2F7tiaxo9yNJI%2F%2BF5KZ%2BOzXos%2BFRJBkht4WhqHS00I%2Fi%2BZgdPLqNgzDMAzDMNoUCGI333zzUnogBg4c2IOeEEqwCIJ16kH51Tfi9jvs%2Fivp%2BDknAzrtODr%2BzJ8VgJNsXBh2qYL0%2FJTj5oJkg9MJTizuD3tQAf%2BjSgD%2BpYTgaSUJJBEvhr0c9krYq2Gvhb0R9mbY22HvhL0b9t7n2PsFNlZWeN%2BC%2Fs27%2Brv8%2Fbf0fK%2FruXkN%2F9VrelGv8dnPSWb%2BoaTqfr1n3vsdYbcqmSER%2B0vYlWGXKFEjmTk5jPK1I3QK8ysSPfps6LuhZCxut6dcjMZ9GvQpFYvvrX%2BfPn3q1lxzzW6jRo0qcbO9YRiG0dJYLi%2FR4Fi%2F4Gi%2FsH7ZMIx24g8WZpRxDRs2rHTIkCHdSUrogaC8iJ4QEhKVH%2B1KMsLphxKRY%2BjDiNsLKG%2BKWwLsv6XsJOExBefPK3DPE4nXlUi8tYBkIk8YxoV9EDZe9mHYhLCJYZNkk2VTZFNl02TTm8GmLcDy58mfN38d%2BeuaqNf6oV77B7JxBYnQoiQ8L6XsFOdfStjGkMjEZ3ydysjOpf%2BFZFAJy%2F6cuKhM7htlZWWbRXLSQJLCRHH6fUhS8qF9yX0rhmF8mhs%2BEy9a2txYGuik2uPGsgxqwalXpkacmnFqk6lLTtngPKvDGEbxEM28AZkEo8zWyPtFCntF1CfSkzIgyoHi%2FsGUCKGWRZmWTki%2BN19Ccmzcnh63lCmxy3%2BbAmdOBp5WIvKWAnKC9hlhc8LmLkX7pIVsab6nOUqQJiqhIXH5j5KVh%2BLzv5v%2BF%2FpulBzSk%2FMnJSq%2FiNvREhagzG5TSvDiO19TpV%2F9cz5Q%2F0oNs1rgBdYIM1lYMwWD%2Fgo3tQzDaPvooNivBG7g2scPqG%2Bwp6TdK4khUzbo0zCaBwQlLDK096kJz2UtkbREi5%2F6cZoqtficnBhGkYDdLpSe6Deora2tYrZGnnzgD1SitRG765Lp%2FYZKg3bT7vt%2BKtP6A8lIyvpBKDG6ImVlWbcrIWFHnz4PSpnY7ec0gBMDThZmt2DSUEz2cdhMJXrjlPhRRkbpGCVj9LzcoySRHhdK6FAaoxSMU5VDVQaG4tmP6GOhH0hyx1uKEzgdWwdeoKeI5KWioqIHwQlriARFO6iGYRQJR7ABQUICN9BHqNjwKyoP3QSuIIYklvQnZjQbUG9hpwz5SjWiHiw5zj0UjIxEEYZhYJpObBhGGwcN7Rp0WEa%2FQWVl5UCUstSLsJUC0x8wtwPZ27j9I7K4SkBo2KZ5mxORm5SE0ORNjwT9EjSd03BOuRFlR6%2BlrCzpfSUlBNDTlZh87MSi2eyjsFkpKyujdIxTqfeUqJAUvqjvhDK6x5Sw0KBPiR39LKiLIS5wiRKXU6QkdpgECvZS0vItKaltWFVV9X9hA5jBwvwVRBJ8dRlGcYCYj9iPDSsNmN1es5v218YUPW3fIoYklvQnZjQL2Oni2F6lGQdI3vKKuL0w7HiVaHxfu2Yc85dbatIw2gwW1CPQiTIcdroHDBhQFT%2F3pZE9Akymmm%2BrQYEMEvyN5nOcKZ9wqwJZglrKsigdotn8DQW%2F7ygQHqugOO%2F%2FIEjOez1ISGYqgJ6jYJrkpCVLrorF5uqznKOkj894hj7zqamp34XvhB6XvLflPX13eT8Lpy0vKIHhxOue%2BO5vDLtEfUNHao7MXlJZ21ozaFZnUCSDM4NXusbaWn4hPSuGYbRy7iDWU4nvIJV80qf2S81uukC8gGz7AcSQxJIq7zSMLwSO3b%2FEUR2lHCrfYDfsRLT%2FY6H9I%2Bw%2BGiqpGVdt8u6SpaTco44khX9fUGdswjGMlk1C5vWPkHxwfTLPQrNGKvPeEUn9rhLX8uqoNXEsr9Kd72sX7HfamDiX%2BRwpU8oiSH1OwesHSjZmpsXrEXEC0fLJyxfpYeHEhVMw1MNuKwhIjtWgy30UtGzD%2FJXghi9z0k45MD1Khb0q8AZ163mfCruyBc20hmG0LId0hD%2B4PrlWuXaJ%2BbQ5%2FYP4%2BbfaoGB20xhiRWJGYkf4g1iSmJJ%2FT4yZ3AZgLCY6E7SQ5ap%2BcGuO51ImS%2FmEds7YFUWmE%2FnKS3S0z1CwHTjaQyufGkOIxqVehtHyKOwfoQcgrFdctwO5xukTUO%2FI5mp83lF9I40N7PHPDwujZOuslJVrUd6DfC0lWpySvKJAld1394i0nx6WGUpSOFmhPI%2B%2BIWSc%2F5qyniLKv84IO1ZJ7S%2Fj9idSa6MscBs2tSScQNKyOnXr9Kn07NmzO6pv8Aclhr6CDaNlwbU4YMCAlYjtiPHgDGI%2B9aEh%2FY64CT1riJq8oFiRmPFKtQNsDd8QWxJjpqyR3jAWGY0N8AxH07CuvVFwSVnNOIuNI3%2BO%2B1F9eV4BCvMGztMU45%2By08q%2FR6khFnQX73wZRsti1KhRX1p33XVXovafmSMEg9rx%2BgbBIjvc2oQ4MuyksHNTNsDwehEO1z%2B745RtPaUNitcUmOITOC2Zldwj0t56WAqb7N9WopqXfT2mNUMie6vWEskt%2FSoMj6RP6UASFpWANZ6uID3NbBXKCpmV48GPhtHym1vEcsR0ig23I9Yj5hNXEAPSo%2FacYsOx4gVixruJIdWfuDX%2FnhiTWNOfrLGoWI4aQh27b6XFxI4pQ72QnnwvNdUpE4xMECE9r4V5g471aIballp1gqG8xji5xMswlur1mxYwd4RjdIYhUvNP7T89AJCLGhfpJTuKUpyUDTjkNPRBBZcvimjynpH3FYTSLzJRPmCafMLs5B6R9trDkvev5L0rE7VGxmnN5D0rr2tNwSXMsLmFZEWByx9Qd1P54Ndjna5XX1%2B%2FKrNyhg4dWo5cvU7h3Z9iGMuOTzoSuxHDEcsR0xHbEeMR66XsFP0hxYBvKyacohhxhmJGrvfriCW12Y2gyhBiTV%2FDxv9agJxsNDbCktFyzE4fCUd1DEXT7tcrIp658xHUTBHR61qEt4lsOOrbhh1a6osj465jMUIy7kUxjOYjj3wOCXLeBTNIqtVD0ldiFWtJTWVrNbUTCB5O35iucUpxKNV8QSQzUde2e0Vszdm7MlMBDAM0n1VgcysN9bE%2BT0KyWAHMd5AojvtHaK7KIPqhVOdeRa8UpSGF%2FSnJM1QMo1k5RfOK6ojhiOWI6YjtVE1zm2K%2B1xUDzlxAfDhZseMDGrB7tGLLDYg1uXZTNv%2FE167xGXBc15mkoUePHgQ1Q5CDo5kxZUfwf1fAMlaLb0GENEvBzJtarBzhnxF%2F59eSG%2F06MxFotI3Mu4bhXFZtMIwlh5rcu9JoSPCWJyI4f9Xzb6chesym%2BDm1%2F%2FHPmDlydspOSpD55aSE3pHXUrbbzQ64y7NsS7McbIp2VSn7oFcFmembxTmna2L9b7TJtbv6oLZGFShuG5SwDKR3ih4qkhSpfxmGsQQgHiRGI1YjKaEnkdMOYjliupT1kd2qWO9NxX6zPudan6nY8QXFkpcRWyrGHELMWXAq6vJ%2F41PolCcm4eD7oU0fi2ZPCCJlA9KY1Py%2ByGTOQsgmb47k%2BP6ZlMmKXhN2quYg7Ew9cQRRg5mbIMUGZ8qG8QVBozB1wP369SPhH6QNAAZf7cQQROr5w45I2SC9C1I2owJSuVsJCcP3qBH24EPbsj5dmSVOQd3tbfEMvPG4gpi%2FKVnhVI%2Ba9hNibf8%2Bn7FFIy49U%2BzmMkeF%2FpRITlawVzCMJcJyOo2sraurW01zrdjcOpBYTjHdfbpW31LMN2Mhm1lzdJ2%2Fr2ucmBKV1z2JNYk58wQleYK8UQjqCVFGiaShbxjSod%2FiaD1lfSbPa%2FH9r4Foee3xTC3E8ampF4WFfLGO67%2FHzlc8zxCOCrUgXTtsGItAGqlAEpjrFuUUEn0SfhJ%2FqeX9hNORsFPCaGi%2FLTX1kLysna68f4TAkBIbjt6n6frNe0dcsmVbmsnJR1prhb0qE1LTYMh3tFbzHhV45KaCGVsHqWeK3qkRJOck6ZwiciqveVsdzC%2BGsej8QkwWyX6tOGWTiNl20Wn7RboG896SXAQll4xfWGw4OzXJj%2FPvryMeJNYk5iT2JAZVX7JhNKIDx3c0yqqekBKQfeP%2BM7V79a5IZHElJvMFOUm7ssxFuUBykpR5fY3SE9XDV%2FAa4jHserkPxTCUhEi6cfl8JgnXSmlpaa0Go66M9ColLpRNIv2r5nYGI14QRrPxP0QG%2BQ7XwnpIHDTbWmOvCslL3tP4lLjkOg0EPly9U7vAKZwcMnchro1%2BcY30YH4KvSlI2hN0FQx%2BdH27Yai%2FhNiLGIxrhZhMs%2B22kJw8JVjnKzF5RTHd7II4b3HLOd9VbMnw3n1prif2JAZVHOjSLqNRXrQj9bqaZ7KdatIpAaH04zktxCWtLWY3jHrDe8IuZThX2C84KqQmngshFmd%2Fjvbch2IYGQiiaEjs3bt3OXMfqK%2FnWqGXRKVb35QE8N7xcPrDjg87L2UnnlxrlGxRz88JydQvsMlgs7UWmyMu4jQln7GFgANlimczZwsZbE2l34V69uCUzeJ2%2FeCYNXJBlv79%2B5dR%2BqVTFcNo91Dje3cSevq4KJWUGMXP2ehK2ayiuxXDTWgGHpmk2PIWBDDYXCBBIQYlBvS1aTSCnSR2YXV8xyRf%2BkxokP23MtwZzUAs%2FA0aojief0x%2Fn6P5ozS4cRQBF7r2ZM4euGW0d6Ap39DQUDJkyJDudXV1faqqqv6PRJ6mYPWSMI8E4kD%2Bl9Ktm0Qg%2F0hNEsCcloxP7iGxFcepSj5PJZ%2Bx9YIScJQk6U9B0vTSlDXrIo39K0QgVKY8sqamZijN82uuuWY3hpGaZ4z2Dq4BhvISe1EaqYGKzLti1hU9irdpI%2BBFbXI1Rzw4XZsMiGCg7HoaG2zEoMSiLu1q3%2BiggTqd2ZWlNIQGWgU7zDh4vmC3dUmDmrna9ZqujHmcdnOZIHojyRDqD8rU1%2BvevXtPpgIre3atsNFeMG9uAztZJOnUz%2Ffs2XMANbkq26IJ%2BBCdbNIkzGA7mofzYYhv67odr2ttavr0%2FBGXbtna8jT6fJ5KPmOLMsW8P4VE%2FFVx16PiMU7p%2FyxRCE4Yt4jraq0%2Bffr0Q9kO2e0FzE0xjHbBNcRYxFrEXCqH3EnCRcwuYVjqwynrURwnPpmua3BJeWR2alLqe1ab1X%2FSxtsQYlKuSw3udolXO8M8dS5UTnSMt1%2FKju%2Be1GKcmZoGqjV3TTEL803tet0WF8TZOpLfUfXzA5Cwo8a%2BQGLOvShGUW0QcB2yS8Qapyaeel9q5JEDjmthtfj%2FtXVa8m0NQz0ijLKtm%2Bcjjpw08hpg95DY2lOPysepqbl%2BqhJ0EnZOVOhNobb9ME4cdYqyiSZcDwqO6c08oPj%2FcjYEKKMsmMHlwMgopoSkYz4ygtiqQCZ4PThGAhP0GtOr%2BETYG4rVmptP8o2GvKKGOPBi%2Bk8QSyImtXpX%2B8XyOGQaB0lMpHhCvfpftfs0vWAxLo0g52Nl4ix%2BVFjuDDsfmch4TaM1fbSBGnsuINRXCna4DKPNg10hhk9RA58PuNLcBvpJtlSi%2FiM1uHPETqkK9fV3y5nTmMgJySwHqTbbZ%2BYqkLS%2FlLJTFPiF0kcGA%2F%2BRfkc4TyUsW6gvZRg19zU1NdWUuai0xHxjFE1yQgxFLEVMRWxFUsJARc2%2FOixl%2FYp3iF9eV4y2NGZdzS2IA6eJy%2B5gerzmGW3K5hzXIrGqv7p2BI6zGYZIw6C0po%2BOu%2F%2BibPn9tGzq0%2FMpwRzHP6ddLo4Sz0JijkXKrjE625S3cPzoAVtGsYDd2UhOulEDH06YssqR9F5pd%2Fc38ZDjRBbXKLj6uxL5wl6S6cmDEm22BYmwTFOCQpBFqRflj6gN3a4knwGkf1LJ1x400FNzX1FRsSrS3Eh0m2%2BMYgFrmRiKWIqYSpvSP5BEMBtf14ljnhW%2FTEifP3C7OY1Y8z1dn1ezEccGNbEfMSqxqr%2B9dpRBx5dfpayZaZ9%2Fip9x1g8pg52Yln59eq5xz%2BKfqkDrTZEI8xiukRwqu1ubcDExEKhgqrx3tIw2d93lxokJx9Zou9PoXlZWtjk18fReMZskrkemtt%2BlzQJ2fz%2Bvl2SOkxOb7XPnKnCNLKg3hZIvhFnujOst70v5JX2PcU1ukjfOU%2FtecILinhSjTfIOMRPJdsFQxU1ULZNvSj%2BgDeI3dJ1MTU2zS5ZFHMj1SR%2Fyg3ENXsnrQsJYfTBVvu6KG4317QRF0rJeJb78rRUMXabF%2BaJ2mmakZV83nNcfTtAF0phFo2GvmShbUCPMXAdq8qWFXRLmUi%2BjNV9zHSXTWEJPiWaU1CCbjbwpQxPjvm9wesmxevx8jmaTPKKkhHrcvMTS80hstuaZnzJNyT5qXw%2FGNXc9TcDwISf2KnUZEdfoUGY%2B5LNS8p4U90AabWAjrDNrlTUrzlmZGEpljMRUh8dj2ASj7JHTxQ9T8zW8fxH1rrHaNPi7NgwOJkal3JnTE2LXlPWfuA%2BsyNCJIW7MM0GWFMcr5Z9TUlbD%2Fh856ylanC1FIvnQRi4WJFE50WES8P6xSL%2FLDjODGwnuqEcsmC5vGK2OIPIJ7tT4Qg7MKIlrbiOCn1jP30NGW7W%2BXIfUxCOHSukWfV%2Fj07I5VrfZ2qPlzbhsAuTy9hfH9XmCFPF%2ByhwuqeRtwGYCPSmofOU9kJYiNlor9xAbESMRKylm2pwYilgqZSXDJCYPiWsmKvZqqY2vQvUuNgzuQpFSpzvrE7MWNMh7BkoxgSCJLzeCpJVjwa6r2vbfKfj%2Ft5w0i4Pm2pYsE%2FlYARlZ%2FGspa8wiYEO7%2FhjNRNkBsqisrBxEsuW6YKM1gnVJYy316zpK3xhFFIIeeqriIcgBo47HfBJq4XNJ4LcKdrE8NNFmW3pDHSlfoYyF0%2FrntIvM8FLmpVwYRqLyW%2FWBMfB0RPDOQIK%2BArl7w2h13ENsRIxErCThh5%2BlbFTEpYqp%2FqnE5EPFXK0h7pusTXIUY6%2FStfctpPSJXT2kuwizaI7FyD7jS16HMhImf4bRBDUmZacU01PLz0IolIScqWRpfGpS9LpFR%2B%2B%2FYkeLHWiO%2FLoFCmaiGEaLXmtJJyYFze5DUR%2FhpIRGd1131ykhYWOAPq93FSRNTE31vrOT%2B0lstmXVl0JJ8Thdiy%2BLc%2B6hH5MKAxrn6UmJ2w3ZbEBhj1PRgh5I84%2FR4vxDLERMhByvYqSdFTMxu%2BQWreu8t2Ryauot%2BbiFY79cCny6YtJ7mYGHvHC8%2Fu1IUOK6660GeV9rbT1ICmsctBhfbiX1s6rh20eywewOPaXMubXVsRfWB3OaM1av9daCoY0Ee5sgORfvrRadekrXCjTqvYCNpX2NzesrYe1BCjTwaU7JEI6kVb%2BOsMPv4vbclEk1PpGaSrdmJPeT2GytiXNmpKZhwY%2FSB8b8B%2FHO98O%2Bpmbd1ZhoDb%2FmM7nMP8ay5qCcf4iBiIVYl8RGxEhas6cTOymGGquYqrVyzlzxIht31yMvrBLLryuGrVTPVwdvCrTRRcscBR3vdVGwNFKywfRwXJuyplsy1GmpbdQHv62sn9rgCxhIpxIZjts3ZMp9EEUPGsBc6mUsC3CNQQzMKmHtaXDiujQdatrtTyQLfGIYwhN3iSDe0E6tZ5TYbK3TZqWm8uJ8FtdFmsXAsLofUS6DJGsEhV9moCOnKfCP%2B1GMZQViHU4TxD9DFAt9k9hIQ3svUMz0L8VQM9rAtTdNsenD8fqv0TXH9bYxQ1OJaXnfmiDv66yNoTExCWuULCVwp8%2BEAVQpKyl5Qk4X5zs7tY36YBrl85koD%2Brk5%2Bx4T3%2BgJpgdahqOIYiGhoYSLVzDWGoYPXp0Z%2FpKKioqerD2GJ6IBCLH6Cmr72VOCbN77k1NPSXvpKx8C5Jw2ZbN1npnpUwXR8I7z2tDDwEZZg%2BdzUwGlUh%2Fl7kMlHDSY%2BZ%2BFGNZgASYGA%2FBFQ3w3YZYiJgoZXN8blCs9JzW8KTUsoJHi9Mgn28MIFZxreK8HYhliWl539qEdpzXxtAJGTl02sNh9iPjjC9377j%2FfH3Z1NVSZ9vSjVCLUx%2FMTtbU1DS4kWFBDA26FmWHeH%2F7cfTHQLt8aGPBEbthNBeWK7y%2B6Cupqqpak7UX63AvabRflLLyLa61l9Kne0qmpU%2FX%2BToQtNlaJ%2BfMSU2zuLh2x2lzgU2Gh8NuRv6bwImdXRSR4J9evXrVa65ELn%2Fq3V2jOdGR07mwLqjHhQ2ONbgV%2FRnEQsRE6bMDFaemlhc8WpyNgbzv%2BG1tCpynSpmNiGnhXjhY15fRVoKnfMhbZNT9GbYYX%2BhOHPHF725LWa17WzjaW1hNIq9%2FvN4LO9I3xXs8kQSMixQ9b947Owr0AWgRW5ve%2BKKYV9dLbTm68cw%2F0DE6stzbs%2Fbi9lgNULxfu1XvKRlxT4nNVjw9KVMVNFGieVdc95eozHhP9XU29qNQgkIPGjOOJIPa2Tu9xhfcECN2aZxdAgcR2xCk5yf2bIwRA6VM%2FfHx9NmexrZ63XF6Se8XgkiHE8sS0xLfEeNqA8AxXVsBda9osiMjJ2Ur6t6RLX1Uuz%2FFECTlksPUJj6hi%2FI01QPvStMitcDMl2B3gbpMNVIZxmKB42MCjCCCemrLY22twy4pjlKkgDQwKlyUcD2UmuYGTXdQZ7MVpeUJyjMpU95Dlv9kuDZstEpQNtXgOwbJQUJdXe5lfBEQu7B%2BiGUKByqq6Z0y4lMUAz2RmoYqFsOcLE56xur05GI1%2BKNANoIYVwO5jbYA6hDRuNbi3VlD3igzGZMyicTJRUIOhTXBb2gXa0xOErF4D6ApWTNRBnpoo%2FFFwe5MrKF6DWLbLK6pXTTMir6SC8NuTtkx%2BlPascrnBs1JDuJstmK0fGBwofTwGG1QoMp3BMqYmm2EGM0QdruRGbdHNRb35CQfqkgsQ2DOuhIHcVpyZcrm8%2BRiK8U0J2uurjPKo%2B%2BN93whm4HIehPjcnpi8Yk2FEihzsXJAdrsOjEhcHpRQdP0Ijk5KawJJuGipj%2FvRaEBGUWvX2t3e6OKiopVIYeCBMUL2vhcMsiN6wlSQMZQx%2Bej4%2Fb3sbZodr8jNU10f1%2BkMDm1jrlBNptt6c5loIZ%2FmoIn%2BOcdJSpUKNzETCM4iJN8VL0o9WLjcL7ZKOYhY6E8RMxC7EIMQyyjMv1fp0xwBYGGZ9Lnzy4phmttumJXKhLuj%2Fd%2BsWa3bEGsq9Iuo5WCOtbGmngWMRklDjHuO0mLl6xznBzp7FR8ZPFxAVlMFEHcQ7Ni2MEcfbLjjaKFErfuGubDLpaP2Y38GurEzmbBzJJqjo51PW2NNDAKPThHXVfPixBas268zWZbNv0o%2BWk%2BvWbMabgtfMXZ7PQy64hgKucgelE8G8X4HLAWlidGIVahd4l1gyKcyrgOZl0VxHZ5CddHqThFVohZpxYkKHfF9XMCM4fUX0z%2FTSkxcHJPV6tDZ4IpFjENUkzUVGbNcd%2BT%2BlLzxKTYFYLYMaARjIbkv4VdGJ%2FFUbGQf6bZE5vERT6MhmaGFokYjHYOpKfZgWFmCSVc7HLGumkgKQn7AYQQD0MJhbLBMSk7oXs%2FeVaJzWb7bBPv2%2BJeOOjSMOaLHaAhjlvSNB%2F%2FP5BeFOrm4SHL3xuA%2FhJiE5JYYhUNm%2F42MQyxTMpKif8qDvqgSDec5998zhMUOJdqhSuUpG1L4sYwVGLglIlOGK0IJXw5Gga1HZJymgpKZk3JyZSCxKTYd3bnFuxevZCyRqpbws6T2gNyr99A8aG2trZvkEJXLx8jH6bYo0ePntXV1WuoLHIPNbufrqSEIYpPaLfqPV1XlgO22WwLmsv1dgEHMcTxiqSmeeYhsRMeHDSE2SjwkIcHG4BTgLq6Oio81kMJkhN7zag7V7HMI1pXuRpksXNQYRklnPsKXByfyWlK2LblBCVi4J7Ewl5BrQfLkWUznIYhPNK6PiFlA3jyU5PCxKQ9JCdzlKBM1PsnmERFiZkoJ6lZnqGUa7NLjjxfwbRRH623s%2BuHUi6uoSCE3ppZsqVKuI5PmWb8g9qlek07N5NSU1%2BJkxObzTa%2FWEvejzJRQSQBFQ3LKHtdpXlIe2h44%2BoMcqXMSw3z5qB2xkEYMQixCDEJG80ovtH0Longa8RDLymmmdiOOGjufAlKfnpyPRyN8ITKrofA475%2BWn4xNw7iYTFzakKjFIOgmLUQ9pf4%2FT90ajI5td86%2BHxRk20jr8dQvBvJuJWgfEuysP2R6EMuls9TksOuAS5edMx7S3Bmcf30UBnX%2Bpw8KjFBies6nZTQbDhBZDAnua%2FEZrMtOgfNVqKSz%2BZ6RAnKESQoGqC3DmVeyJVTnoJvUsmxS73aQQxH7CGZYGbTrRMc9E0Sk%2Fj5VG00P6LNsSmpffc2zlVMS7L%2FIHPF4Gquo7ANOT2hPFsxXAfHcMse84bCof7BqQmBtkpQrtQpAepcNMHPNEE07ixMTE1DG28No1Hxd2pU%2FDoOAT16HASfK0fslqgrTvDdskuppJ5BihuoT%2BtHmgl0qhKTR5WYTE6WBbbZbEsWVM0q4CE4mlLREzWb6wfqb6PPbVVOUghYPRelOEFsAQ8RaxBzEHsoBvl6fP%2B7Bw%2F9Nh52VsrKuB5TMD4h%2BaQ%2Bn3GXN8c%2FEHY5nxfl%2BvA58sJO7lsO8xZ1dXX1ytJR30uL%2Be%2BpadbCVAdV84xJqflMlKdTdrzOUelp8dkdQqMinyM64iR8DQ0NJSaG4gQKOUH8PTk6Fxn8kDXAWtCaYG38W6dtE1KTGpevI5vNtiSbZDkPwdGUpjCf4qowyo0PkgLR5jT5Ut5jmdTiBLEFMcbAgQMriTmIPRSD5JtjVL%2BMSU2zS%2FJp776Ospg2V%2B%2F6r%2Fj6jPjsfkwFEdPjieE0NsJ9XMsSOCyyQxKTSFLWQ4UqFvYf4lc3KpucrIXsmvhP96HM1KIep8ATffD7U3bEjkTsbizufGgjUn4FmvRG28Wn5pYgPQj5SzxiH5VwXS4yQOXtHZHBlNQk0ejkxGazLQkHzT%2BbCx9D0zz9bHeHH7qIxufgoD3V97Y6G5Cei1JcXMT3SWxRMFRxQ0Y%2FUOaXMtGE%2B7SB%2BrpilZyHXFL8afWuGTqJRNL%2FegaO00sc18w68dn269mzZ3cn98s2yOqo%2BsS%2ByBHmtYkpU3LgqPh9L%2BDFrgF%2BGKfAcD12L2hSJHhlxgWzLpB61CLvbHJoU9dKB47ONeE9LpMVK5Bn1NySbaX0QUMdO5ccD78sZ%2BdkxGazLasmX05nKcMeE3xzKXKx7ALTi5LLpOazudQw39GJSpvjonk8lM%2FP0uySrzC7hMA6HnNZynqFKeH6IDWNfzAXLVx84l3x99nxOf4chTNK5FA8I1ZO7h9e%2Bju%2F%2BSyGLl261BFgSc2BSZlnpEyq8D%2FKsr1oF70GeIKcwQPatTgmPs%2F9wr5DksLcGBwJO1gF0%2BWNNgCuF8icHZR8mKIkgnfVcE7KuK5PTT1a45PLIG0227IvUxmnHWBO8q9GoSl81C%2FDR3033yxjY4VmeXbe3Q%2FZtuI3YgdKjZivliclTHon1ojv%2BU86uacknzKlfKiiq14WzSbp2rm9UOwIvo%2FPuZaY2WqsS3Fx8%2BGyC0zmreYpgqz9wzgxYf5CPhTODfCLXwM8XgnKE0rymAB%2BdHzGe9NkhYpTVVXVKpTSWYu%2BbQDyHjVqVOPsEk4Z4zscQcIZtwdKmhHhCOYA%2FUunZwQH071LZbPZWmCjbJr4m9Pbx8VDl4S%2FOi7sF5K%2BXzcC3F6DBg1a0YItbQd8V2yQEUNI8IDZJT%2FVQMWLwu7Qd%2F5fnZhM14mAr41F7ydGrptSOIZTns01E9fLFpGgrEzMzHdQkKAYzYgOfLAEW7179y6PbHAogVbcf5y%2BDAby5A3ws71YF7sGmMU9WY6BOs9%2Fht0cDuQU6YzviKITPT6oPKlR3ou89Z4yQgYlXCvMLmGeDbtUqNnF93iJkpInlZS8n5p6tFzTa7PZWqrUeLp2gd8rSFLuCJ91ftivqZSIYGstlLwGDBiwkkqNvVnWirmIWIGYgSZtNsiY9K5k86SU9QjzHb%2Bm2KOQhz42Fy2yce1MEZc%2Fr2vmWHH%2B6sQBxM5KTqze1dzJCYt8yy23XJ6jQUqNkB6M%2Bynnokbx7YLExEeBX7z%2BNy%2F1Gqvg9SYlKAdGgLtz%2FLwxMo8cFXK8rjIv62m3joSkI%2BUOJCX57BK%2BKxHCKMq4wi5M2dH5S%2FMl8yYBm83WmsqNCVSppUeg457wXedQ5sVJPicoYatUVlbWwUOe69CqeIjvoDOxAd9NxAo18BBCOzq5p%2BTo5JTNLvmXEtEZ88Ugvg4Wv%2B8kT1DeStmwytMROCJWJmYmdtamspOTpZGcjBw5cgUN6lmL5ES9JnlyMs1Hgc16TMgip8zr1visz5OKCsP5tlfAO5iBWTQpWnK45QE5c3yLAgrEHbYeTe%2FxPY1G6CAeckHYvSnry%2FpA37ETeZvN1prlUgleKdn%2BW9i5mufAbK6tkEJHlSif6%2BCS45YHsQDfBX3BxAgFg31%2FLEXVc1LT7JI3FLd5vTff9dKYnMRnTXLyA2JlYmZiZycnyyA5IRuMD3%2BXWPAnxO1d2gmmb2KmM%2B9mW%2BioNr0pYmC3naF8aGkfqoAXJZVhBMNk5V6iLXt9QAh9%2B%2FatraioyHepdqYUQqeLNyqJf1EnJtOSG99tNlvrL%2FWaohMUSrcfEA%2BdihCOSoQaKDdmd5hTY5%2BctCyIBYgJiA2Qg2ZyOcOe2ckPuzZlggfPKDGZaB5qtmtlhjYd%2FxOf91%2BlwrkL4gN5cqLk3clJcwdffLB8wDihWPyNE%2BGRn5MMKoHXywU7wk5QlrxRfpYy8QlKUnAo98XnfbWSwr0RJSAYzoc26mjdpyjL%2BCidI3Rml9TV1a1G6Z1K8Jiwe7ESyxe1AwkZTE9N5Y%2B%2BTmw2W2sNuPJylWnioXeUpIwJow%2FlIPpQwvc1VFVVDXCC0mLoCPfz2fMdEBPQjK2m91yqnu%2FsacUSHyq2yGdoeb0v2XUCp4%2FTJj2nJleQEDJmg1iZ78TJyVI%2BOUEWleYeBvcwRVaL%2F88EzCkb3POMFv8ELf5ZyaUrzZmVo6bxSHzm1%2BN0dFS7RWTna1D6y44JzW8FM1FcA7yUrgd9viV83iUlJT3ZqUJyM5%2BySymeronXtPuYN7s7IbHZbG1tsywfPDdJPMTQxjPpQ0GwhU2ZvNSY2Q5KUjyXayltiOUcBNfzecP9kgleQ7HZnjRlh12rzeOXkhUhm7PHJB%2Bo%2FaFiXhK%2FMcH%2FVyo22yu%2Bh81QSCNmJnZ2WddSvBjyunrUOtR3so2myR4Wvz9TR77sFD%2BrL8zHhs3bh5JLDj%2BasvkYJ9HgxvEhDonvhHkaOt1yDfBSTE74fMPx1Bb0l%2BTyjEemTJ7xbu0yTnCCbrPZiigw%2B1AcjwTtufTUUWocvm9rlAmRTyVYxkc6GFs6gNs5saffh6RE89A2Yy4NCWM85ETFY4%2BkJongGV6%2FzVp2%2F4Y25CmVIwk8PS%2B751rIle2ImS0YsXSTk%2BXy0xNUIJgai0waErcoeNCsTdN2PI4d41tT1sz9li%2BIZiWFfKo8csNPKgBmcOMJkgdkKGbjETt1jj5iX2rozOcbNjg%2B803UX3JQyup66S95OGWN72O9%2Fm02W5Gd5LP7TpkqsqkPKgg%2BueAUZaO83FhBmdGMYL5MXsJFvw%2BbYyqz%2F3n8%2BviUDVSkF%2FhfqUkm2H2OzWfTlJggKoC4wDmIDVDJIsGiDYiNiZGJlQtOTTyEcWkmKEmSqeyKSKquVlJ1GytIY8jcKfG4mxRAE6DNSpaqa%2B6ZKON0gTwtR3SuPntka0dQeucEZelcA5RyxWc8MD7rTZELlILNefoeIOz3U1N%2FiWeX2Gy2YuKiOfJtE1OTmted4QPPQjKd3XvFAwMoOXJQ1rwcBKfD7flQRRITKijid2enTFXtKW1gEntNUszgPsfmGfWQD1wk8bsBWWZVr3yHpLxw1AMxMrFyyvqAfQ0s6wulYMjPysoYd9TgQBKUm1M2UPD15CE%2FzV0DnNc9csROPeldqgH%2BlRqyN6UPIr4bhgAyHbZrPGb55Ib5LwI%2BsxU4ng1UUMoVn%2B%2FI%2BHlXDVY8T6TwvL6Pj7y2bTZbOwjaPtJpPgnK7eKgX6u8aEMSlPn4x2VeX4x%2Flucz5LOE0xmEzak9g%2F44sUK6NmUDsf%2Bj76MwzvJabZ4N4Q90EsXgyhsZZKmKFVTrRjDo0kOyWxmof6T2UZn8%2BhrUtHf86uiUKRbdmbIyr1cKLhxfNM1js3XRUPtIDTAqKkfE578PF42SlDXpRSGwVrO8L5zFgJRQusdn2J86Ukk0%2FihuD4%2Fbi3Vi8rR2VGZ5TdpstnZk%2BLx3VSnBCcr59KHG7e70QuaCLQyndR%2Fk4m8Aw9lwNxzOZ6mkZJQUOw9PWSn97eKgseagZi2ln56axIgeV4x1UXwfR6nHdHuV0q9CjOD13QovIJqzNKCxH81ZUi76Tth%2B8ftjUtYb8YASlAmpqdTLF8GSn6JMEzmwc%2F8PnVidq8GNeyFpR9JIcM0x%2B6GHHurdq8UAx7NK7vKTQXZLTohf%2FSVlNdfsViGzOcVJt81ma4dBHDvLb4uDaBBGtehYbZJ9k74IdvxVZmwsIuBqTuzFPw0F%2Fb35QEXK5x8Ke04cNNUc1GxxVV6ZQmKC0NPl8fn%2FiZiWE6uIcb%2FCxi%2BJN%2F0%2FxMDe%2BG2FyUmSrB0XUnxx1cry18zlVTUlmwSFZuFXdYIyTTv%2FTlKW7CLKtegnaufkRSWCV0vqeT%2BmxFLmRXbv5GTR1zU1o1LlWkd1pYfEZ0ltL6IPlCzmw6zytWxisNls7XEuVz4P5bWUNQvfED4zH9i4A6fOqHhpd9lB3CImJ3A2ZVzxOW4bn%2Be%2BcXtc%2FOoqcTxc%2F74%2Bd3NQ85Rz5fHUB9pMZ8P3Ms31%2B16elBDjEusS86oixeu6jQR0XXFENGarUWg3yaxelZqmlNKLMi41DQRy83DzNG7RBMdQzPvjs7%2BUExTkhgmwOd1ycvI%2FE22cTOMMk1i%2F9ZwE6vTpwLBz42fKFJ%2FUTuFUr1mbzWabx0FTtGnzePjLm4N3TuO0mdEDmgdVi2%2FFxyb3QP7P5ATORqKZPh5OTFRKfJ84flKy0FBziTzM1Nodp9j0aX3OV1AqT48pfVTEtMS2xLhqeHdC0pZAUxBTyznuUoIyUgPqDolfnxZ2jb74p%2BXIOD6z7Grz1QBzxPtEPrAxbA9Ku4IYapycLBzsgrAjgvKGSrm%2BrcTkrJT1T%2F07ZXN8KGXwhF2bzWb7dJnXRJ2g0Gt6ixKU%2FaUsRV%2FqoPi5CplVM87CkxM4WyVde4jLmXH2uDje%2FSXNY%2FkcOWJR1M7GpKxs%2B1SGKit2HUksG6gktlXju9HWgBY3x7fU6yvzH6DSmK%2FHxfXD%2BKJ%2FlzLpu1t1ob0qh%2BYjyeZrUPxnfNY3xWd9ogYDjcDRJSumLBSSCl6VZk41vlPfe0HKFLme0YnJRO20eMfKZrPZPr0TPSM1Tc%2FmlPkOnTr%2FjkZ5yr2RY5fUsPH5yJOTEXA4XA6np0zK9l0nJ81WlkhZHCVc%2BeySszQiYHdiVsWujfPj8gHXxLhenm0TjTNRpHRUghNSw3x%2Fvuhcm5sdlZQNrntMR2lTfEy5xDZFn%2BXD8Rn%2FJewYXWQMa6ryMeQC12rjrYZbMWB0YyV0x8XndnXKGuKY%2BE597zSRgiWDbTab7fPLZKYqiKZhe0z4UkpkjmaDklNpJmhbQXLh3ARn6%2BSEz%2By4MKaRPyKOn%2Br1tsRl8JN1ysdnmvdJ7S8hh3WIWYldiWGJDzRY1HLBRRT8LafmrhLq%2BKmh1MDAA9CLjt9zwaE6wcyOsclD7JZUdx7VlL%2FF53sOx5KUJtE7gSShL6pPr02cDUobSF1269atT6zNdenRUZ0pR7s0xFHfO047gl6PNpvNtmicND0VCLWEb70SgRwUj8LnfrmkpKRnQQ%2BKpVjn4yfJCK%2BFUqQEWQoH%2Fnqu1pILCBFzorp5jU6m9peAw5eJVYlZVQrvQYrFjsGDB3eNTLQvO%2FmSxturQK%2F7FmWw7FK%2FJ8fmC%2B9%2FE0Ch%2FN07Cqgv4Rhd9ZLzT%2Bw1BJwPTZrxGQ1hLozU5Q6LX10mp%2FVfJSbTk8sObTab7YvI3ecJCoI4FxFoa2Bw42Rt%2Bvzcg%2FLZ5ATOhrsLB%2F%2FG%2FZemTPn0HXH%2Bx%2FPFAraFr8X3FGPyGeajF%2F6ATDOzS4hN6%2Brq%2BlDC5SXYvpKTL2mXui%2FqHRoqtGMsiJ8x3CYecmHK6vuf0ynAHF9Ui3Q8OUdHlOwE3II6mib1bqCp5pR0reAV2AR2RFiL8dmsrtrSvSmDi19dmTKpRj7LD5Jlr202m21J5FmnapOHuVBj2DzjdJry2fC7W5CguAdlgShRaddA1KJ0qn%2BkNnJfEufPSS6HXxTLh1Y%2FmzJxmwsUJ%2BVDq0cSk1JBQVygEi6jHYF6veWRYotF0Z2FIN3ozdCRjsVyMOVI8Zh7UlZOw%2FFbXuPvnesFq6Pkzp%2F63kc5hdIuwAZ1dXW9%2B%2FfvX6bExMfmOjkiMRk2bBiCDSTJX8FBUW%2BassFWfIavyJHNSE368Xb%2BNpvNtvjlxrN1%2BjxOJyiNpTQoUAVX7ckJCiVe7kH5DODsFeBwdvOlILmXKk0eFedP1edr9cgFn5Z8lJqGKpLQ3YX6JiqcbOBqdskaDAolJiU2JUZNlrpu10Fi43T56urqmoqKCo52N6IWNRbNr1OmkHSvsty3FChOTk0zUZyoNKlzTdYR71M6pjxCszkGUkZXIB%2Fc3p3%2Bp3pMSEwkbckcnmP12aGEgqTghGRFLpvNZmtuJS%2B4nHLZR5SgHEGJF72o7kH5%2FM00uBxOh9vhePHV0%2BL%2BycnqXYUJSS7KMFnrDU5HbfNuErv4HA%2BiYodkr7KychCzSyjxTu4tMQovPoLFfGijdgZYNAfE704Ou1rHwE%2Blppko071LMM%2BmyzkRVN8Sn90pnJqQ6NHQpYm8hlDYY8KOCYmJep5YZ4%2FNl5g4AbbZbLbmDRynp6YJ3AjhXKr%2ByE%2F1oOgUxRDgcjhdm7h76aSfcQxPKgaY7vU1r5pkumLFfHYJlTiUa%2BdN7wgyrV9VVbXKfImJYTSB3WyO0iQ3vDJKCXHhfU1TOQ9K2eBGym0Y6vS6Ft1MX4SNxpRY%2BnNuRfksPrf9mMZLH0VccN09dLEJaJOrx2SIekz20YkJiQkiAq8qMZnh5Ndms9mWWg8KfXz0lFJmQ5P8pepB2TPvQdEJiiFI8bR7aWnp0Ph8to3P6efxebGBe1vK1LsmeX01Wl7C9bpiRmLHU%2BIz%2BxWtA6yviAOG5zLB%2BewSrzBjQceW1PY1zkTpFqDMK6w%2FCygW0lY0KiPzpkWWD20cnyztyntn9gb1u2crMdmusrLyy%2FSaxO2KyUMXPzXHhB4nqXLtrZ2nm3Vi8mpB0puXDbqky2az2ZqXs%2FKym7zE6yWdoLgHZeHoAKfD7RFUr43aadgv4v5zFAO873ho3rT3VxUr5oOoOWnakpEKkYz0I8Yk%2BdWJiWeXGIuEjih60azcr1%2B%2FWEc1uZLSftolYCYKQ%2FHyXhR2umkIm5XaRxnO%2FEOucOw3SQpvVDitdfr06dOPHRYfizeisaEQRxRk10tzTL4vVa582q57TGw2m60V9KBQZkuJFxUUDGqUitcKyQ3KCU7v0aNHBZu3ERutJ6XTP2qT7SXFBPkGW3vgso8V%2B00Vh7%2Bl2JAY8Vpixvh89mWTO2KjwZyUDB8%2BvEvBMEXDWPwjzIaGBoY21mmAIKVKPyYI55Qg7AbtFjynBTkptQ%2FZ4cJ6St43Wt3nxmfzU6TwwmmtXF9fXymN7nZ%2FVIl2vqQYB7EbhzqH5phQf%2Fpoco%2BJzWaztZYeFDidGV2HSBxnhJrAq9i0dGSUOsHtBNkB5p9sQnlyytS7HlZM0J76cuco9ntLseCDig3P1obtj4kdUYTltGTkyJErUN7tZWQsEdQAtmJJSUkPeijQ%2BUapgkCc%2BtSUKXrdrt3vt7UL0x7UuXA%2Br%2Bl93xh2JDrd1KLmiYkcebvvN2H9QG7x2Xz1%2F9k7D%2FAsy%2BuNPyw1CUnI3iFABATBgYqoVLSWin%2B1jlJ3i4tWq21ta9Uuuqxa92rFhQMX7tm6QatWq1ZrtW5BFBUQQfbS%2F%2FnlPa%2F5pEryhSQk73ff13WuJF8gkPd7nvs%2B53nOsI9HevH7ZD9ZeSM01phkykmTTCaTdcQaFAIU2gxPNbuSQyTj7MM8DXdjb%2FGa6aBr1wY8C7TeZ8XtZ6%2Bf4pkAFMfPcF3LhO5dS933wxf6q62XSV679H3vWIrPOBgfkmem2hKhNdBQi8JGxNmmkNm7LG3ipwXMRPm5ffxziDpW0JFhtm%2FIT0IyhxJ94teX7zoJ%2FdV%2B%2F78wwJLOU%2FTp5trXryy7hszOoWxoG5ydnV3hp2%2BHk8plz4ri99QBi6oxkbX3Hu4spvdL1t41KMxBYXr3NNP5axnMbHao2Qj0X85l5BehbXENJQdvpC4xuyNEwwWfdx9hcUJ9oNiWu8%2BH73c3vqD7hIf4cO9NWDP4jmsc2OrmRGjdTTl27NhuFMzb4qv3FJ0DvQMD3bzuCo31AxRELXTHc1WCHM%2FVfiLClF0GCV3m19%2F72Qbc0r4u0sZrIJ8NuTGhRaCfLH2TUzgzUrke98BkTlBDBVnbOVorXDxZY0vcUVjkvETvfVIR5rt95LehH7rN9fU5x8U3tg9S7H2399aw%2BPXUP5v6M%2BKfOzfl35vn%2F4f4%2F7PA%2F48L%2Ff%2B82H%2BPZf47rUgYr8o6zv5Z4usUjXvUuPsas19xCk5mgKczxUPyMr7ZC5qP9pMCRztm%2B%2FryEM3yeMX39OqE8eqas0saRijgA7ov2NCOmpQ3fEV8RvlEQruAkxOuMxmc4zNRcDx%2FYN%2BiwJl0nfvNng1R2lPcfSkptQSr3NmgViLuDc8N0kgjqD669m5AD05KeB50e6N7mc%2FMISf3EQ9MZrvDpXbBsrbYo8t8fS1w55%2F1xhyCmc5L5Na%2F7g4ELUBf9NO%2F55y7aH%2F5T9%2Fn5JE%2F4UH1Y37r96iv5WkhSoFJtWn%2BvUf9zz7mf%2FcJ%2F1lP%2Bc9%2Bxv%2Bt5%2FzfftH%2FL6%2F4%2F43%2FI%2Bkh73jQM8f59GP%2F3TKlAYms%2FffPIg%2BwWYsPG39fQlcqs92pP%2BW2AMczqKYyoPm0xDVfYEcavdjHCfbyNb7HZydI41aHxhbBbzl33ec%2BHxkRP8AXjIcq4iPqlk1o99OCeGgjm5JTA7PRFDozXMe%2Bf2ZonFsxwx2EFQnZoMv9tOA%2B35B0nRrJICE6ePhpUqaj4aqbAUvU4djHn5L65s%2Fsv%2B5kLfI1oVNfWWs7Vkudc%2Ba4Y4%2BTT5rKCx4Q%2FMODBgKJB8z%2B5re%2B1I7d7Nx1nYvuVWbkUF9udqkZjUBI3SCVlTbY54doUO25buf5axf4n5nI3%2BHv2uecqE7ynznZ%2F40p%2Fm%2Fe7v%2BHv%2Fmp6zQPap7yk0kmK7%2FqgdUsP7VcqABF1kan5Mt9fc32oJn05Qt8rsc%2BdFwkhTlEU%2BQzHRv6YS1NA3ZkNpy9dobr3dshGXUncV3SfA9MOGwhC%2BJ0glZ8P%2FMBv%2Ba%2BIF3MSvERdWMitHtwEqK%2B1HTyys3JySnzwY3DfHjToSkTv58Ojd2YOmvR8ycpjs8CJ%2BvrnKh3oqVgbW1tgffrzvh8XK65OV3zCbAnmV0UoiFV%2F%2FbTuCWhMS1FwYlsXWtD4puSuJXl%2B34o8rLfSvzDAxFywSlYvclz6a8kaCBwpt0l8x3MTvM2qr8llYX8abMTuPnj4IU9zwkhM3rs5xxl9l2zI9cwXjvK5%2FjwZ4%2Fj7%2FrP4Gf9nJ%2FNv8G%2Fxb%2FpsyVoufkXUkU9gLneA5e7%2FDb6EQ9W%2Fu2BytvuPM5PuUlZFVTPIlv3fbfKOXqJ39oRIN9JgMJhE%2FM9TPc3s68L5YCG7mg%2FowNIZaL21A9p2b8vuc%2Bwag1forONTYi7k85wDrqe9sn2e44jKEHvCUrwBfEJU2aXKDgR1p8zSpETC7Kurq68oqKioVg%2BLn7GEfATQE7MSan4MDT2Ae8szmns%2FCzwzUm6xvm2OQ8mB5fAZPz48T18Enwm5uB2jYNV%2BuFTj0SQylwcvzEhMHnWT7EXyTGSrcUZWuZCyDr52B3veX5TMNsDj1m%2Blt72%2FUjHt1f8duFZv7ElGKGL4K0cJHgHmYuMm861j5z2nUwNlH39C8%2BTPs4HzX7PuWsc%2B9vsAG7%2FSFfwzjN70RbT5z7taj97tNkuaxi3yLvyZ%2Fiz%2FB3vcMjP%2BBY%2Fk5%2FNv8G%2F5e3Zj%2FEg5mfUsBG4eCHyGfY1NzHc2FxpdoPfstzrtytPegD2ogcscSrYTH9Gs%2FyZzfZnOM%2Bf6cf%2BjJcENaSQrX1vLvS99k9bj7d7EH0MReAcSsL5Kc5oRuof2j927NgNfHo8Qdu3%2FQb1UX92C1J8ns42xy2uLXnJb5xvtHVwqndx25EULubh4QN6wbsCEqHjgNzCeGgjAYq3jT3M8y8nupPw99A4EyWea9EZCDo1zxJn4AacGoYK9erVq46%2B3Zl%2BckTeLT3MCUxIc3MHj6vtO%2F3ULW6tmJT0Plnr98pf7GvkA3eu3%2FBDjef9BvZxd8gf8ID3Dr9Z4ITy6hDVNBEMfxaA2OcUqJ7oqQcEH9%2BFl3AevHDzWx507Ml%2BJqjm5JN5RRR10mXO1vWIsrKy4QxXNQHeymxLevZ7o4dN7d8YnGq8xvf4M%2FxZ%2Fg5%2Fl59BxyN%2BJj%2Bbf4N%2FywP53fg%2FeBDzLW808p2U4IWaPk5jTzKDU%2F8YotQR0si4mSRlbLIHL7f4votTxB7xgO0Zv3V52YOYd1JuXjJlJoMsfVvh%2BseaoY7iVr%2FtI7jenhNziuR9rlcmDtVrcMaZ3cFcOJ4HBxMcMvh%2BfNJ9h3mh86R4LQv%2FO1ARXvmLF%2F2Po710UVHRwHioohe%2BC0LH26C01rPIucFJZa6FCzGCO56TQBfQe0NjR68FoXPkSy9y5%2Foffmpwujvf26m1YgM2JMfUb83iIYu%2FdWJ%2BOjQOpVoalB8v%2B%2BJCSwKTOb7P%2FuuO9KPOFxxsUGBK3cZ5nnrFzcJJnlp5tH1%2BhAccB9if%2BabfcOzODQZpB97WsiHYsNe2NduGNFTSETjpJKAwG2TfHwh3EWR7qmofE986W9u9zWorKytrCgsLq%2BnZb3%2B3kjbZ9u%2BVpxqv8T3%2BDH%2BWv8Pf5WdwmOGNIvp5IA9PDuTf9qBmM0%2BR2Ir%2Fo3MoTUd2tJ%2B9s9%2FUjDHbw2xvfld%2BZw9kmCF0DCklfnjyez8guNC5lxoXhqPd57fZ%2F%2FIbp5kp%2B1PrUfZlQxo%2FdN3G2b7WO3g1DGmk3gInlYG7mSyEa7TOP8L3383%2BzN52X6IzvN9xlsizfshxmc%2B8OdJvjreFu9B9glJ%2Bbw1WFDry6UFD728KoQoKCvJTTtJH0GrX6w8uDo1pPojiwtCxc6A%2FceGmmPZ2%2B%2F%2BfxTRYHB%2BcCc%2B5zeR2il241sfZigMTT5W53E9sZ4TGND4NWVTtSNySMrUtJSf3s9xR5mT2IW5FaGFKKhaHAdzAcvvhBx003tiLJhwlJSV0htmK9Ep7bQDr0P5ubzOKdavNGoIIDhHIh7a%2FX8qka%2FuzTAYtwtjDdJej%2BxC8hbGmMVIVMG4GY0OMMXjOiz4%2FZ%2FHr8Z9L%2Fbvxz4t%2Ffvzv8W%2Fzf%2BD%2F4v8v%2Fn%2FF%2FF%2F5P3vgQyBUye9kVuO%2FY29%2BZwIcbmu4obF%2Fh324q%2F29fb17EMHb8R7QUVfD5GYClbt8jxKk0B2M9K%2BPQ2PtyuqgWhXZ59N8FvotwFTv4PUz13ZuUPqwtkNmp%2FV0Y%2F86H%2BHE%2F9Cez9l%2By%2FuC%2BxKfdHCejtP4OCC6yzn4RL%2FR5WCnHt8O3oLnfKab2gULnSZQaZiJQqoXp4e%2BqA9IGdp4u58mvOEnpgv8dKYjOLCpTtQKd5xISbvETyUR%2FeF0pPLWwV0y8P39bAgVzp89j61TAtCL%2FLSFFL6P5NBkbP3IUg9MF7gos89J2XrXxe9ND0ie85N81swUnx10rheLn4Bz7V3x9uYWxIRxO7PNbO1t3L9%2F%2F6ptttmmaPvtt88lvdJvMbu0kbUKL7a28Tvzuw8fPjxviy22KOnXr1%2BNOQ0DSCkzfhppz26Mt%2Fgc5zcr7NE%2FUstCU4AQpWvc7zfDOFC0%2Bp7uh0ez%2FD2b63t5gb%2BnS4OaWmTq%2FmYvU991d1wgjyb6TWQFQ4hD1BgmE4ftdcEn4IYUn8f33fF%2B6%2Ft3308r1gj8O0rB%2B3zn6NedC2712SUEJvvj8%2BDL4dOlzC5RQCJ0TnDVx2kKHa08PWEs%2BdMUe9q3rwhR0SqnpRRzzg4dI7UgdeDQIt%2Bsd3kRLQHWCFoH0z7QXs%2FEepOuFL5BwjwDT4fZ3TsSTXQn8zknYqWKZGaOelxIOdOd3Rd8n5Oq9YCf2tMsg1oRblPPMTvZ05F%2B5DckB3vb0jE%2BQ2DrsrKyTWtqavoRlIwYMaJw9OjRORMnTuwhpo24dsKECRvsueeeucOGDSsmSCHdxrh3KI4FqW3UtvhcKm5UjvLDll%2FZXz81RPUrOFHXeMDCDfeDHjg%2B4w4pXPiOv7eLnSO15jPLlvoaaDhZx4H15idjuMGjKDzlRD0Tswo2IsWNvedppNSP%2FdE573Xnxo7SgCIeuvmBHxQ95fueBiJ%2FJEvEAyxq7%2FoOGDAgV%2BlbQmKAI8sMEArFPMd7F9%2BwDHU6PUSFnKRyvOync%2Bu7MDMOTJa6CONoX%2B1XtLQO7pdSAJiJ9Sbd%2Bd19UnA9jiPOpDs31Ai86OK1QM5LxtaPfOBCjAMzNURpDexzCtbp4odDfJwZ6%2BZgF0DSIL7u3f4Q9a29HmQTUpeo27D1Vg6X1NfX51F8Spc8E8uuYtnPApSGrkEUqPbt2zffnaRKbnlJx%2BAggUJ9r2fhsGhndyq%2F4Wkb3%2FaOZT%2FxHPMzPXi81p0rGhKQBhbfeC%2FRzUlGNq%2BY7wcPL%2FgB49leh7m9aUMf9qinPGakPnJwx97DV%2FA99iM%2FiHnOfYqlKQHK%2Bn4vuQn7rx8aXU2XVe9eeAANO%2BALUvYIOr0blyAkAg0pQJwmcINCPqYXhW5JXjQzUbz7wyQXvrdC49DG1etp88aByUf%2B%2F%2BH%2Fda7XU2zqk3G5McnIkyGu7bkxITChkxHpXF4Af4sHJh8GTbDOpDqS1JkIOC2kbZHS95jt6ztIHSLv2md7HONtdLlpG4nwUViJ%2BGVlZdVQRE59CHUW1FxQg8F%2Boz7Db%2BqyWX%2BIJCezpBfQxlOneRHXekvThpRLipNJu%2BSZ8ex4hjxLr2sppgaHNBx75tUM1OPwiJNvuNmHyX2DQns%2FFf%2BNt2G%2B2oOUx%2F0w6b3Q2CZ1ZfjfOSvaK8k8gFjuNwAf%2Bo3aTV4gv6855VvTRAJnNkML5OPW%2Bhux36g%2FwXcI0ZDW2MdJnfu2Pt6%2FVf4ezveDhoc9nfaXnv75dQ6SPT2t0GuJNgqqLRESHKg0TJe3xV5hBDbYTxUO8ZbDV%2Fnm%2Fa87OBDfwvD5Pvzt2UaPYu6nY%2BLlhBER9%2BvqjA00KYTjdCwlp%2FanIUoHIf3j%2FaCWpEkMROL6q9Q6EvbnbN%2Br00OUmvm8r4O7bW1M9tqR3%2FgwQuaG%2FJ8FtNuz98lftkCjV1wrkjInqK1qPjKee7%2FEPgtouI3CqeSWinQwiuvXCFJ%2B53NXrvET8ydCY50KfDnL18Q8XyOL1wN%2Fy9p3BhgBKumaE8kuYL1w60l3OgLiTHZo2VP4DJ6aym3xTe5TxK3122ucQmoDkoXO3e%2F4IdJUsyvcx%2BEAdifj50HcUqdMeRf%2FCpkhlKQFeYAyyPPJSfM60b53gW%2FgaX4i845H9%2B3ZhnZxaMyppWvQOaQt0TqY7jmZ%2BqZxOs2JNZ06KH70wOQEL4AnnYuc1Y8l2ImeQxKL2mseiOCcUpfAXA3mjTBr5FxvY3s8c0W8Tovudl8xwduCGzfmIdF23AMSoQPB3pPupM3V1NRUMmDNjL0%2BytPuDvK0rxPsjzJHhlROOvNN8RsV0nMppmWeyuserBCoaI5Kcu1jP1C8xwvkf%2BIT5Den1Syakck3m94dEN9hPL5EiFJcn3EeXdyOwclS96Xecd8KH%2BtGs%2FN9EC0DZ7%2FCSAAGanvauoISIbMQT5X3dsMbU7DpE5UPpaNXiHLT7w5RfvNM31TtNcBoQUy23tHmx0QDIkcAAIAASURBVD6vJU7pyrhgEnHhdBWH0mc0kJL3E3dGH%2FATmA9C5xmsKUvPcC6pMXjT9%2BTDIUrj4%2F0%2Fk9RMPzVl8Oq3CEbIV%2FYWozi3g1k3RUVFVaQEso6Uv9xxDyFIxyFAIW%2BeOS1er7Ip81eoVfEhu8xa2c%2FscDNy6n9jRttUUnSZp%2FKIBynTPagVNyS3QP59v0G7129QjqPVNzfscXcnD1AyztnFZ2Dv4EN4O3RuHu9xH2NBO71HcQrXTOdvfKu%2FeOe%2BcT6Adpu4TTC%2BWQZniAiZfHNihqO7AdeGbF5uUXzw2VZ%2BQkcayAW%2BieMJ4%2FNc4Noyl5mfPdtP%2FyZ5H%2FexRrLbkkeboX3cG1I%2BEBlOVPw9Guenpg%2F5CemHobEVtAQ7WfUki9z5eMVvSu629%2F8KnxL9U58UvYc7rUMJQqgfoZ6BugavM2uoG%2BE0Lq4ZCcpf7qjoSpod7xE1K7xnPsuoYI1alYaghffcB1zu5UXRJ%2Fg8FepT6Nz3T%2BeI1AJ61aUkqztfPET1VT%2BsOpvmCtQvcUtKgwZv851pU8QbupXiO3ga9Fh8Cg%2Fg%2F%2BG%2BRlv7M8vcd5rhvlTDoat3Td0dPec2mzQueJo9L34WBA9UOKnjNBXnl1xnP2WgY8yFfgr3eGisRZkfWrfgOs6pX%2BUbmU18r3et%2BDazAkhv4IqajZtpbxBExSkqXX9wRNwR5XbrRr8xmR8a59PI2eicBa5xPvIifz%2FnekDCPBIKn5%2FyU9HrODSgRoz0HgpgSfmxvTGEGhI6RLFePF1LdSPJ4unPGe8x7zXvudeobMZtmXf9ovHB78y4AZ%2FiDusz7ry%2B42vrw9A4N0VDWjs3f8Q1afEMlBtI0yYbgvbfHD7ipGfibakH%2BKX4ED53iJlNf3I%2BneFrP3XoaWs1LFgcGhuU%2FNd9qNt8dgmpd3via%2BFz4Xt58wIFJIKwJhA7TlhwgkkF8faW32cYW4gKru%2F0k1ucJXKZPw6tk8ec2jqYzfyikyt5mLuSg9m7d%2B8KHPRMJFdut%2BjoE78n3haROpNH3NFor3Q7Wdudri11Z3Gm35DgSJKTzM0ltSTMr%2FkTaQDMx%2FChXF8nHRPRZX%2BohiRzeZv5B%2BaEVVFDyBwoTxM5iCCFDkD2x85wDp%2FitykUUD%2FrwQrOU3sWB8vatpkMHDLV7M%2FMyeB0ns5PDOvN5MM9OBJfwlOiuT25wX2NuKa2tZpGrHLf6F33lQhKqHO5FF8KnwodR8%2FxtfC5xNuC0ARIHyKFAGeYFnykC%2FjQMEiOQWGkCjDNmFzm91pJ0OIbkwXubBMAXUSKAlee5GBCLj75NtOupUPcDtHTNo639%2BLPIerUE7cNVqFr5y9258TzTQ9K2F%2FXmV1Ai2jyx72W5JsurDuQrkHbWTry%2BKlgrmpIMhexAwZXksLCPBW4E%2F72TkXUIR3ht%2BG%2Ft79yoQcqpIXGabvzxSWJ6N7FrSv1J3etUbM5mE6PGbg9uuE7xPvD06IP9wO%2BJ0LjTLBlrbT%2Bl7lvRMOS%2B8yuYuh1PFCRPYme42Pxf1JtiSA0jc9qUchzJseZ3GYfHEZx7TifiXJJaBz2Nzese0rRcj9peM9%2FJjn1f%2FTp1EyCz87UHEzyhJk94dOlf5DSmevffjKzKKhFaGeuKVnugQm97p%2FkhI395S1j6cq0N930OPlkHgltMVPrSJifoRxl8XbM26wFAlXWRlyfwgBI%2B3yAN0bYyVMBG27E7XU6fVGcS3vV6eF%2FU0SV5tX5UrxoVftZ4TVpRLzfOMXoOcXxmbo%2F8CXwKfAtfGr83e5zvOc%2ByPJ15PQV7hORWvc3%2BzcupkUwrcAZ24AvxXuAb4WPJd4WhHXY1C50%2FX0mChOMf8GmC1F6wL%2F95CF1JsqqNEWNIk0K00hnmebFvnTV2JmNnIEbt2GIFETKzAM6jfjJ5ykhSq37d8ppj1K6OkcwEt8OxnnIc10Q3%2FITNk6wb7D3%2BTzqieJBXLT%2BrTP079%2B%2FGDHzUzbVkQhN8fZnxpoh5Y%2FOX7179%2B5jwcuWPpX%2BcJ%2BtwC1K3D7%2BBQ9SUmtS4vrCdHldtv5Su0jTe9sDlNs8nYigdBPveEl6VyYOMe7iB647e93HFb7uX3EfZEkLeT11dgl8%2Flf72RPhcp8jtxM%2BFM%2Feg0PxtiCsKxA3hM1noowi353gwb51VojST5iz8FxoHGy0PE0RW%2BhO2mO2ka%2Bzn30yG5rrV6ajZuAj787pJ5O6i4qKmBj9NdrEhsYOI3Fr56VBaRidzWHgtos8f9K3pprdbnalGRPcf%2BlF7mMRM4rcq6qqGorcTdCUsiW0GLSRHTNmzIabb755L1oTpxTP7%2Ben6r8O0QTtq%2F0AZJo7tq97EN2ereRl657atTQ0DjKm5uESrz%2Faic5QpDdx64rWZNpewKdw3%2BIQbk%2FwOfwZveW%2BSDrByXJ%2FztN9v%2BALXWt2Jum4HCpy802tCz6UUrgEoRVBsRantj4TpZ7ps37y9h0vLDvHT96e9NMaNng6LW0%2F8tuAW%2BmiQcEvPdpJRfAJt5mGjQhMyBH2E55DvbvIXX7C09oFfLK2T7VY4HsjviWhyP1cD0iOYgCXzxkayfA0Ug%2FosENgQhcXFUwK6wpObEeNGrVRXV0dreMrOcmldgnniaJpH%2FD4ffujBCrMgpjiAfQLfiL8sfimU3X%2F4xaAlFE6Rd3ujvgh8aA%2FatXQmkzbB%2FgU%2BBbcTNuzONo%2BPz1EHUlfcF8knVrBhc7rHBrSPfNsrws9hPpAgiBau%2BM74UOJxwWhddGQZmSWxcbGcfbBjQQpu9lmPNJTjm4OUQeYd9ZwoD9p4vSB4YF%2F5xrUB8ntSeoBrVF9SmomoQvP2PNid%2FJc1Ql%2BoknxHl3SlqUEJkqz6Nh1JXHnlrd9b3Ddfzk1Jb5vdvf%2B%2BwxJ7EPKAfUkrAHS%2BghMfD5B3BpYEFrEK8Hnp7Cm4FWKo1lrdHGytdfXB9Vt58XT1DudbHZViIp6uRmfGRo7NKoepWNzT2p7cvT4MXsvJ3ma0YEcguA0%2B%2BFfRvEKa5%2FbQ%2FMxUrtfkqb%2BmPsiTfkrcWfRuIEPt%2BA3EfyRKhkHJT6DqNyfcaam0QlC%2B4kc4saJLtOm6aHOtGITs%2B%2FaxqRd5S2hsd1wXIvyRTnLMYHy%2BnSzexBDUsbsZw4vLS3tW1VVVeQdujLBcegSB4EUsXqnnf28vucSdxBe9qBPTkHHrStZ4SeWCBd1JXGPe4TvVuZOeIHkoeyb8vLywTU1NZXsJ1%2Fr3YNqSYT25Z3uFNJzo0I7YtIJOVWmuxfd4ry%2BkPTDx52D3vW1vcDX%2BoqgepSOzEvcBjAP6690evTBxvvSZMM%2BlnqqUcYcfsCzFpwUe3obbbcP8OJ4OmDOCP87vy3m9nh2SVxb8rL7Orfg%2B3DYRKok6e%2FceqeMPhCXC0J7AUKjtz69wwlQPA3rCPvWb80uSREzHLNZ4YuLt1f6SRzEeT0FajhsRhobc%2BVMEWeG5Gg2BCb8rt4lrY%2FXmfyI26QQNR543p%2FjUgluh3UCcNIW%2BunbayHqgMTwO9Jj%2FuJD8WgnuT%2FpegQmDOAaOnRoTgZ20BE6GCZMmMBU%2Bp7O6UPgYk7Zuc32WVd0CiR15UE%2FLaYehSLiRb72FZx0TFvizjQ3t3cxxJX6ExxpOrlxQ8uNWsrg1qSjB%2FU2ffr0KbMggtTGr5nO%2FjREc09ecp9kzbT05eHzAxUfcx%2FnYg%2Fgj%2BDnxJzOPvIbb0EQ2lnIGqYTU7jNKQEzF8y2ZxYHKQEuZle6cxZ3l1qYciLxiZMmxZbkazLX5DByoCkcgzxSJqYmHQ2ByYgRI7I40THR2IzTHHudOhOG8P3HSXGBOwES3I5ZhLrIAxNO1KaaXWNr%2BkyzE7wz0j6k6rHGSduzNV7O%2FlGRpNARQNH8GpyO47aVF87v62mIJ4bGRiipXY4WBzXn6Ki2wh3rmX7IdYe36qdYe1M6QlKLlJI%2BmnR0w7dgnXMI6sONmXvCQeBTzuGph4Cp7Zl5fsyhuoJ5QZ7%2BuJf7PgNjTteNiSCsP3xuJorPXChH0NioONcU%2B9rnl9nHe0Pjyf8iP4UgMJnjjhz9wE%2F1uSb1pBi4w5YpLfe6x22DS0tL%2B%2FlME7pzke%2F9L39OcWqcClI73o3Jcg8cZ%2FnJ21Rbz1dSK%2BQtgXc12wbxYvBWak2J%2BtwLHZHTWZtek1Jsa7aGFrS2hod7I5TD%2FLSYOrhHnMNT50ToBqXjFcgvTzk84UZ3kk8qH8nQTlL6UtJKM2Kdm%2FXA1%2FD6zn3t69NClD5NN8W5HqAs98CEw0HqrqgZvJR0a08HIyjpj%2B%2BDD6TZJYLQwTY7NymcvHCdWVFRUesBysGeX8%2BJBMOOSAV4w08gZrgj9wgiRx4saQQUZ2bapkYUqK%2Bhzsaewwi%2FNVkzB1Yi27FuSWKxj9sDv%2BKnbgTak%2Bw9%2FI3PBGpoI0mqzBo5yBIuoTM4cZ%2FVGFIb5e3kd%2FKgm6YO3I7f6w7vqx6gf5RyCKXDlI5lONy0zL3LT%2F7H0tiGAIXBgJ6tkFFr3BtCkNp1gj2Pa%2By1v4codYsmJu%2B4z8L6vpMhyB6YHETzCHydOIUrg9LiBKHz4dNPP%2B2KkFFsRstCirrp9%2B3F8mx86iemmj1sr91t359sH0%2Fz07jhnCpn2jPzm6c6yM5nyJwUopQ4nN05EtQOZ%2BQjx2kSL7qY3RGiOTSs5R%2BTq09gUlxcPKBfv36lqisROjNYu6xh8vQJtv12FwftePv2Gc5XtDp%2F3A%2Bd4iGxSvXqeDe9pOFRyH0575%2B9l99EewsKCmozsDtmwOegYyJ1I7QV9gCFdOqH3VfhkHCy2enUgfpA5JH4OBw44fOIIQShE4DTF2onaFVIfr0XyzMT5SRy8OkYgtkmP5v0AIqEvX3lpqQSZNrz4sSKOhMfvkd3rktDVHT6qgu8RLXjFZjO9NO0u13kT%2FZi92%2BRo08eMymKqY0dyOkXOwid9NDps0nzrGnWts9w%2BJrP6KEF%2FKk%2BcRtnjnRUbhTVwKPjGQcrpOLdx02A3xjsY7w11KfHZxTwOex3H0LtiDd%2F4EbpHPdTLiRgodaKm3DWO13OaL2Nj5OBN02C0GnR0JrSbCMfdlTERvaTib28PeWxkIDnvB4KMZIGxp%2FzqbUZdSLJtXJcZ%2BJtg2kiwIk8edyLg3K4O8rMkk%2Fc2Xrfna877H07H3H3AXY7mQ3i%2FYzrSjKwfkpILq831KOwpp3bqUep5lCJgBznzedo%2FDlEtyg0QuGUfvkae0icsn65jJS7Wf7%2BkIZ6kR%2Bs7MicpUy74aWAnYNUbkO4RSKLA9%2FEA5Vj%2BNrnoQynkybczt8J0QDL7uJ1QeicgtbFB37VcppMXYlt7j3Y7AygKy0tHW22PS346BCD8GXAc%2BEauHvcMYRCaSfFP7qovxC%2BvP2yrP0HmRGQUOxLkeT0EN2Y3G7v2Xm0vyZ10T7uQDMDTuFc3FVXIiSe28m15%2BaXlqw4tz7g72ecODuXEcTP8L3DHtIA2fVvcVtcbn8p8r6d7pp%2BSDgATfIbgYxwvPE58D0YiVBSUjLSePzrqT4KgTe3JTSG8LQ3cbsgJMUZx2mjeMyDkC3NtuKjEcFQ8vKZBs%2BVshcMJx2fdeeKmwfQkjBE82FoqxznayPkytlev11uCEwYuvWmByWkrFxp79kpfvO3N7VCzObxlpzqbS9kFLgZJMWlqKiIdvI7eA3DD0LU%2FYiOXhTM0wyFQux5zmsqlF%2B%2FNXPwGo0LKPpmZgeF3uPhMqanE3D6QWHi%2BQyfg9%2BX35s1bD7JZkyPx0cxXt%2BCJhDotKecq75EEJIEOlJBALTcIxCBCPhoBFBJDjOBiZNhJlwpb4gja783wxaH%2BfyLX9vrt4SoS8h8F4%2BVEvH13iJ4vjtVFL1fS169pyTuz4ma2eZc9TObh4BTJ2pCpoEuRZwo%2B8yIvl5n%2BDUf4HhciOY1XR%2BiYvnpoXFek25O1t%2BhC9qyxAMUUohv8tb%2Fe%2BGQmzPeO4O6d3XD9%2FBWwKX4JKk%2BigUrZXxP9SWCkDw01KF4oXw2QkZtCR%2F9BiHLb0wy4Rq5Ic0N0uOq2MT7%2FziBt9cvCFF3kJmh8cZEqQ%2FrJyiJhZtTXlJS6Jp2nbcHpj32zjQwICixzxGz3JQZAQpOhEwDp8k94loU2xtlBCkE7j5l%2Ftu0HQ7RBO5%2Fhui0PvUARhy3%2FlJWl%2Fn78SBpqj5AeVe%2FPaj0A5eM8E%2FieqrYR4mNrzMpzU0QhAwVck5hyO313upMXT7ZXp8SovzsuRLr9SLWq%2Fw0Nz5NpNMQt1ikPEyhHsg7zu1AC0luShAuL3aXYAmCO3o4eX74VOq1KF%2Bh8Qm3jvb9m0J0g%2FKy77GPPEhZ4XtQ3Nf%2B3IfmkHZ3vc%2BuoUnNzgwX9FQm8ZsgCEKSQQqEEX8Jg6%2Fo8ORiEE9apq5hoQRzvdgKf%2FZ0F3o9RLU%2FzC6ZSModgYl9HIWzNXDgwKJRo0Zt5EO3BEFYAzSFGDFiBKfQxdQUurN7KLeP9u2Lze40ezJEA%2B6Y5bTI96C4qP1toXPeVFpB23s1gfbQpBzTkU3BiSAIQsJBwXRWVlaVdy37ic8FmBaiCeOI9DKJ5XrJwaZl8wf%2BPlBfcp0XvX%2BPGTy0wjbbOK4tUeG7IHw5mIvCHolrUdg7to9G0AHJ9tRRfotCHQo3k6%2F5ocDioBq79TU1nufPTfFD9t5cRq0QASVt0TU8VhAEIZn47OSJKctcl9PRJkSFoveHaNjiXBfnlRLLdk9rWOKBCakmj5owU1%2FyB5%2FbsAOOFUWRpDikzC3pGnSiKAhr47yu3skrm73DHvIgZaSnSDK49AY%2FDHjVHeQlQald6%2BPWeLEfjsGBfzM7lUYtDNvMkPb%2BgiAIGQdOnjZApOmnzjAnI%2F7v2muXmz0bGm9M4iJ4CWb7FL3H80uYKfMfs4fsfbmGGxOGhTK3oby8vI6p2JwC%2B4R3BSSCkGagwt7hBJ69xJ4iRdLr7U6zz6%2B1PzM1NA6eXRhULL8%2BunfFNyi0TL%2BU9yc%2FP38rgkovjI8PZQRBEITODgpEOTnkijwnJ2coaUK0bbRv3RqilIbUdAaJcfulcREU0iaYYlAGxk30dprjPO1uYF1dXS%2FVlghC64C9xJ5ib3lDEIqvfxWiOpR7%2FLAmHtq4RIc17XZYE3fwovaH1NabzX7u3SQHMzmeTmweoAiCIAidHZw6xYEJbRrJubaXzw9R62AGLqoQtP2HkH3ogeETZrfYe3I280vo8099Cd3UaBPsLYIFQWglsKfYW%2Bwxr0PZ2%2Fbcj%2By1c%2B3bt4XGQvl5QWmu62O2E62FHzA7x29PvmbvzaYEKPaaUrwEQRASgC7cmlBnwtA%2B%2B3g49Qwh6vnPiT3X6Gqh2b4CTCoXNyaP2%2Ftxo9lZzJqx92UMp4TMafAWmvGEZKVyCUIr8aHvqSz2GHuNPWd7bzemyhOg2H68xQOU6SFK8RI3tm9LdervmEdzDd3V4k6F1Av57Yn4UBAEoZOjK%2B0YfRL8%2FqQw2NfUmjwYoiLQ%2BRLfdknjios%2B57vTQ6tgApMzcIpItTNHaUhVVVWRd6eRAAtC2wcq3WzvFTHU1G8t6RJ1jgcoDD8lxYuJ8kt8DyvNq%2B0DFDiSwvj77H242Owke0%2FGMjTYWwsrzVUQBKEzg0JqUrr85OlYs7%2BEqBvKv0NUiL1EgtjmxmkgJ7DveUBId6DraWfqrYJ3J3gsKiqq8knAgiC0E0jzKiwsrGb2k9fjfd8%2B0smQwbSkXTKD4%2F0Q1UOsEp%2B1uXGIw4BMhgLfZe%2FLBfaeHM0wTVK71FpYEAShkwNn1xzfPj4r47f20u1mzzv5cyK4XGLY5sYzJlWhoSMXQy%2Ftvfg9xbik2pFPnZWVVeOpXBJeQWhfdGPvmdVye%2BmF8keY%2FZG23iGaA8UMjtniy3bjS25PZoaoQQE1eRM4xOnVqxfdCzfQkhUEQeh8%2BKx1Zt%2B%2BffNxfk1kD7HXLzR73AOTeCKyTgLbJ02BDjQPmsBOIkikIxetgs0R6mdWwLA4%2Bz6iq5QFQWhfsOc2KCkp6Wl7s5DaBp8ofzizUOzzyR6gvOYHOkqDbfubZgKUhR6gcNN8vr0vB9l7Mai%2Bvj4vpYOh0l8FQRA6Cejnv8GAAQNyKysraxg6Rl2DvU4%2F%2F5fC54s8JbRtV2OyxJ0Zit8ftffhKg9MDvNWwQP8tkQCKwgd5GCnl8Gc4E1sr37dPo73AAXuZJr89KAalPY40Il5lGfNjfNkez%2BOsfdiO9JfmVfjhzm6aRYEQegMIJULgSUwyc%2FP39KEdV8j9t%2FZt%2B52cVXr4PapMSFP%2FXV3aq7xwOQ7pHKVlZVtynAxpSgIQscCe7KkpKTc9udmxp%2BjUzockuL1uO9p0jRVg9I%2BKV4c7txpRmrXXsafmxOg0LlL%2FCkIgtBJQIpQVlZWFd1NGGLFiZO9%2FGezR0JUlC1BbXtBJT%2BdW6ppTH33GhNaYn6Fts7FxcUVpJEEpXEJQkdDN9ufuWaVDGv0afKHcoPiNSjwqGpQ2u%2Bgh8YtU83OZ0YXs7qY2UVxvE%2BOFwRBEDo44rkmA7yw80gKO%2B31G0NUXMjkY6UitG1KAqkIr3lgMhmnhlQunBx7T%2Fry%2Frio9lBwIggdDl05kWePcgNNXZjt3Z28SP4UDhs8QHk9qAalPVJk55g9bXY9GQDOpTtr7okgCEInEtY15pr8miJse%2F2hELWxlZi2TUDCJOllIUrnYsLxE5yyEhiSt%2B7565vg7EhMBaHzHPak1KDs6q2%2FT7HPrw%2FRrCL2%2BiLf%2ByvFrW3aUOR%2Be%2FaXmP08Ze5JkQ54BEEQOjjo0MV1N52gSOf6grkmiyV4bZJ6QIHsh%2B6scMp3E04Mp63krTPkjVQuzTERhM4F9ix7l1oHAhS%2FjT7VvnWz2TMh6ig1zzlAKbNtO%2Ffkbp97chSNXuw9KU%2Fp3CUIgiB0RAwbNqxHr169enutyW%2FspdvMnguaa9KWtsKdk7c8MLndhPNMbky8JelA8tfJYw%2FqLiMInQ3dSB%2BiCJsbFJ9N9F3b12fZ9%2B7wAGW6c4CajbTt3BOe9c32%2FH9l%2BjaG%2BVAMGtYSFQRB6Hj4LE1o6NChOTjDRtwH2JfnhahH%2FDtBc03aMu2AZxvfmNzJyR6tm0nlIi%2FaO6dRY6I5JoLQ%2BdAwB4VGI%2BxlGlpwg2L2QzMajdwVGm9QFgWldrXV3JOPnWep9znHApT9eC9GjBiRpSUqCILQMcWT4uqNTEBLTTC3Jjfavr4yRD3iuTFZHTTXpDUDEp5nXGdCW1HS5kg5%2BLMJ5s9o3%2BxpIIVBNSaCkJiDIOoc2Nu2x79pn5%2FgqbP3OAd8EBrrT1aLb1uNbz%2FxIGW%2BP%2BdJ3ExTW1lZWVmM9pl11%2BGPIAhCBwGpXLSlNZQUFxcP4MTeRPNE%2B9atZm%2B4WErk2mbIIqkcNBq4HyfFnvtPcFrs820LCgpqXTQFQUgOstjbttdHUJhtH39qdpG9%2FkCIuvR95NywMqgzYmvb0hB1SbuZQyA6Upr2bUyAws0WWqjlKQiC0AFQV1e3EYEJKURG2DvYx0Ps5T%2BZ3ReilK6VErU2KYAnMJlu9oTZlZyimn2D07xevXrVeWcu5UMLQrLQ3fZ4AXucvc5gQD8MujpEHbxmeICyNCiNtrUNLSN97l7vmnYgQSLtnglQ0EItT0EQhA4Abk04yTOi3saClH04vbeXLw3RZPL3dXrX6rbMnQ%2BcEHLNb%2FOWwfvT3pLJ7z5gkc5cSjMQhGSBPb0he5y97sNuD8BZttdvD1FXqbedI3Rr3foHQ2gatZQT7bn%2FyA%2BEtqI4ntsTLU9BEIQOAB%2B6ONBnadCH%2F7QQtbl8PkTtbZX33Hq5z4hjXJhJYHKnPXMmFx%2FNkEUTyGoGuAXVmQhC0tGFvc6eZ%2B976%2FYL7fW7QzTwdqZzhQ6HWpeDP%2FQA8EYOhWjtnJOTswuDh9FCLUtBEIQOAIqu8%2FPzt%2BT0jvbBRtIUwk8NUW7uxxK0Vm8bPMcDvzvMKTmHrj32zHe3zwdLHAUhs%2BBDGgcbB%2BxhXHCcfX4uhxYhKtyGK5RW27pGgxfq%2FB6yZ365Pe9fmn0rpQGJIAiCsL5BvQm1Jvbx%2B9455l6zF8zeCxq62FqndfFHak2mh6j49TxuTOyZ7xYPWayurlZbS0HIILDnmWMEB8AFcIK9fD7Oc4hSP5d%2BAZfI1n0o43Ome%2FFQRjIGtkcLtSIFQRDWP7pkZWVV0XefE6QQpXPFKQW0XVTOc%2Bt051rlz5KTUIZaXkOXHlLpKioqNonrTDylSxCEDAF7Pq4%2FgQu8W%2BLx9q3rQnR7QhrScucQpXi1Ts1f3IzkKbMb7Hn%2FPD8%2Ff3R2dnZlUEqtIAjC%2BglIzLoyGZfuJCaG9bSvtdfOCNFp3ZtO3nE7SwnauqdyMVyNGQb%2FDdHN1Bl0iuG0lC4xY8aM2XDs2LFMf1cBvCBkFrqy9%2BEAuMBvUA6y188MUcfEV8xmh8ZBuOLUdedjbk%2Fmhqh18%2F1mp9EMhq5d9fX1NCKJuViBiiAIQnuJIf3cSSeora0tQAxzc3MPtdcvDtGU8tlO3it0UtdqvfVJkeMU9G9mf2ECvD33r1ZUVPRmQvGnn34qERSEDAYcABf06tWrNwXadJKylyeGxjTb98PnU7xk6zYxfpE%2F0yfhZNPA79hzH1pXV9eLQzsO73RYJAiC0E6AdAlMhgwZUmDOMcPARlKUbd%2B61uwls4UpgYlynNfdaCrAjck9dOay5%2F1jZhsQFJaXl5e4CAqCIG7uDidQnG0csbenfl7ohxovBzUoac002%2BX%2BPF80m2zP%2BVjqTqqqqqr79u2bnxKgCIIgCG0Ncpzr6%2BvzampqKsvKyobQJcac5l%2FZt%2B4we8tJOw5MFJysezE86VzMjLmYbjwEJvZxa25NCgsL80KUQqCbE0HIbMAB3eAEC1DqUuZO%2Fdhev8TscecScfK6c%2FInKQEKacy32bP%2BBQ0JamtrB1lgUj5gwIBc1QAKgiC0E7g14XSuqqqqf0lJyVe4zjaj3uRBs1kSv1Y5maNWh8JLbqFoW3m7Cd%2FvTADH2rPfxoLCPvY%2BFGoisSAIqYATjJuLSktL%2BxlPbGucsZ9xx%2B%2F98Og155RlzjFKu133QAXNu9808E%2FU%2Bthz366mpqYf74H4WRAEoZ1AZ5jKysoac5K39tQBTuaYCP9EiLpJSbTWzXAaqNmhyw7DFjnxvIRWzWY7mvj1pfDVLNteV9qAIAip6M6kcg6QCFDiAY0pHD3TuWVxUMOS1jBqLLnZnugzp%2FYoLi7esrCwsFoT4wVBENoJPhF%2BQH5%2B%2FtdM%2BMbb56fYyzeFqMXtPIlVq7SqxHkgRY4p8LeY%2FYFbk5ycnCGcyCF6njKggktBEFLRFW6AI7x711CGBNrrJ5vdFqJW7285V6vV%2B7pbPDH%2BBm6oTA8Ps%2Be9s32%2BsafdCoIgCG2MLkzBzc7O3gJnmTxbI2NO5BgKSMvK%2BRKrdU4ToAvMTHci7mLIFyefCJ4FhrWkCtAtLahVpSAIX8DRZt3ijopwhjvLx5r92b53jzvT7zjXKA133QzNo9nAvaaFF5mdYM97X2%2FpXCiOFgRBaAfhM%2BItNQLezuxIs7PMbrXX%2FxmiFKSFEqt1rjfhRJPuXPfZs73Y7CTmyHgHniKJnSAIzeVrOGONwySK4%2B93h%2FqjoLqTdT1MQvOmm%2F3D7CZ7vqdze2KBybY%2BMV58LQiC0NZiZ0JXwUkcbSrNrrLXHg1R0Tb1Juqjv%2B71Ju%2B70F3lHWAOtOe8Q69eveqUwywIQjqAM%2FLz8%2FvAIRRse2fFq0M03ZzuXavEu%2BtkDBue7cHeVHvOk6jDtOe8U05OTrmCE0EQhHYITrKysqpN5P7PPv%2Bd2V0h6vP%2BQWicbyLBWrd6k%2Bkhmktwmj3ng3EqSkpK6qk1sdc21BIUBCENbAh3GIds7AHKIfban0I0nHFGiNrhintbbvG8EwblMuySrmi%2Fpa0wWqngRBAEoY3BUKn8%2FPy%2BpAjYl%2BeY%2Fd3s3dA4EV6ncC3vm8%2BtCfnL%2FzG7lgnPnL7Rnau2trbA21KqO5cgCOmgO9wBh8AlcArzkuz16%2FxgaUEKb6v%2BpOUT4zmco1bwEbOzSMXlxkqDGAVBENoGnxVYDho0yDi352Bmm4SoNeXz7lCvChq6uC6pXMv8OU43m2Z2HrcmdOfCqRg%2FfnyPCRMmUACv7lyCIKSDrnAHHAKXwCl%2Be3J%2BiFJyqRX82B1sHS61rE4wPlyiXpBmAwzM%2FbZp5SA00w%2BV1MBEEAShFdGN1pTMN%2BnTp0%2BZke5wZm7Y69eGqEOX6kzWPZULUWPSMLUm18fThqkzGTVqlAZ5CYKwzoBLOM0nLdc45pf20pQQ1Z5MD2otvC433%2FFHMgioPbnGnu%2FR9py3QTNTWr930yoUBEFoHfQgMGGoF3nLJm6jc3NzT7TX6dJFv3zVmayb0c6T3O8nQ2O3l8PpiEZBpdICBEFopeCkOw1NjFu2926LZ4ZojhIBytvOReLkltsKP2S6hZbCzAKjXpB5MwQo3gJeEARBWFfU19dvSDqABSd1TIVnoJcRLwO9KNomx1apAOt26saJZUMhpT3bs%2FPy8n5gz3d3%2B3xT75OvVC5BEFoDXWktTGqXfdzT69rOtdfvDFGt27yg1Nx1rT9BE%2F%2FKQEbqToqLi4dVVFT0RkPRUi1BQRCEVkBlZWV2SUmJxSXlg%2BOp8PbyeWZTQ9ShRGLW8sBkpT%2FDx80uM4fheJoN0COflC5urILylAVBaB10MWc511sLb%2BcHTSfY65c7B70fGusHxdEt4%2FT3XBvPsWd7RFlZ2VdNOweVlpaWMRRTS1AQBKEVxAwHGUfZh0rFYjYpRGlIcyRILc5RppDys9bB9lxPjVsHmwPRnzQ6e131JoIgtCY2Yjig8cwAs5FeHH9aaGwtvEzByToZmkjt4OV%2B2PRN6jS5PdFhkyAIQisFJwUFBflGsgOpNTGi%2FS5OtL1%2Bs9lzIUoDkCC1vHUwXXKYBn8DQy25mYoDExcy1ZsIgtCa6A63GErhGq8hPD5ExfEUc9MSV90XW24fujbeaM%2F1FGp74HWCQbRUwYkgCEIrBCfUPeTk5GzOCZAR7ElmF9vr97mQzZeAtSgvmcCEycKkUVCMOtGe62HZ2dlb%2BLBFbkwonlS9iSAIrYmuzi0bUahtjvOWNOCwry8xezpE086XOk%2BtFl%2BnffA03w%2Bc7rXnehGZBqad%2B5iGbuY1hApOBEEQ1jU4IQWAa2kj2UPNmFrOCdsTIUpHWqjgpEUdXWg5yfU%2FrZhJpzjVnu3e5ij082GLgiAIbQpvLdwP5zlEqV0cOr1qNjc0DtYVZ6cXnHAbThfLx00ruRGH279DW2H7WKzgRBAEoRWQk5NTZuL1FSPXY%2F3W5P4QdXZ5zwVMopSeLfXABCeAacJXktJlz%2Fmr2dnZlT5sURAEoU0B18A5xj27eGrX1WZ%2FN3vNAxTNsErfFrs20oGx4fbEtPMY6nvQUq06QRCE1kGF58yexEmQff3PEBVOfhQ0tKsltjDlZO16z0tuOFnjlkona4IgtAc%2B%2FfTT5tyMi7NbNlQXjn%2FSOf5EAkC0VKtOEARh3dElKyurxsh1j5TZJqQizQm69l%2FXuSa32zM9ixspn9hMq%2BYCBSeCILQXv8M5zFRitpLx0A%2Ft83Ps9TucozT3pGVpuwyzpHaH2pN7mHnC8zUtrRa%2FC4IgrINoYUy0NfHqSzG8fX12iK783%2FETteVBAxjTNQpMPwjRySStJn%2BWOteEGQQSL0EQ2ovn4Ry4x%2Bee7Mcpf4haxf%2FDuUpF8ek3POH2hNoTBjKSunsWGsp8GZ8S30U8LwiC0ILAZOzYsd0YwEgbYe%2BFP9Hs2RC1SlwW1M2lpcJFcPeA2Rmkc1HPQ0tP0is0pEsQhPYEnONthQfYx1HGSePs5TOdo97RAVSLDqDoxki9DnU7z5hd5DOsBqKpaKsCFEEQhPTQFfI022DIkCEFtBGmV7u9fpXZSyFK51rpJKwr%2F%2FSM26Y3zW6zZ%2FpzE6zdKioqNikrKyv1uSY9tPwEQWhH9IB7mGDOJHM4yYKUX8BRzlXLxdtpp%2B7GAQrpXS%2BGqOnJkWgpmoq2eoCi5ieCIAjNAaQ5fvz4HqNHj87p3bt3Bdf9Jlg%2FCNGQrjdClFOrwCT9ifB8XOhiNdkcgKMpRK2rqyv3GxMCk25agYIgtCPgnB5wEFwEJ8FNcJQfRi1cg8PE6c0PUFa4Zk5BQ9FSNBVtRWM9QBEEQRCawqhRo7qPGDEia%2FDgwYUmWPXeqYs85NvN3pZAtSiVC5Fi6CItJsnlvpBrfnMCBhl60jXHH7%2Bu%2BQVBaE80cA4cBBfBSXATHOVc9Z5z14qgFK%2BWBCloJs1PTkRL0VS0FY1Fa7X8BEEQmgETqA369u2b379%2F%2F6qSkpItGNBFt5EQdep6V4LTou4tnD5SXMpJ5D1mJ5tYfYMCSZ63Vp0gCB2B%2B%2BEkuAmOcq56yblrYVB3xpYYmvk3NBQtRVPRVjRW3C8IgtBMcL1fXl5eQoGk2Y4USJpRIPmQn6JJcNIzTh1pK7nm0MVdsrKyqnS1LwhCRwBcBCf5UMafwlXOWa86hy0Rn6dt77l2nomWoqloKxqrBiiCIAjNRFlZWU5hYWG1EeiWzDfxepOLQtRGmBM0pXWld63PiSNDK580u9meKV26Djcb4RODVRQpCEJHQFc4CW5yjjoDznLumhE%2BX38iax7%2Ff%2BDaeZHXneyBtqKxaK2WnCAIQtNo6HvPbBMj0R2MTA%2F0zi1Xmz0VouGLEqf0xGl%2BiIZx3WvP9CKzE%2ByZ7mtOwGb2fAuD6kwEQegg%2FA8nwU1wFFwFZ8FdZi87l4n%2F0%2BP%2FOa6dV6OlaCraisZqrpUgCEIzxamgoCCffuxGnqONTL9rn5%2Fqp2fPhWjGicQpPeOZMR%2FmBp8UfJg9153t840LCwvztOQEQegogJPgJjiK2xP7%2FA9wl9m%2FnMvE6ekFJx%2B6dnJrfiqairaisWitghNBEIRmBCdGnMw2GWrkuRd5xyZOdG2JCyM%2FUnCStpGr%2FZjZxNRr%2FaKioipd6wuC0JGQktY7zLhqT%2BOsH9nLF5s97lwmTk8vOPnItfOvaCmairaisWitghNBEIRmBCdGnEVGmsO4fjb7jX1NUeRUs9fNFig4SVucZpndb8%2FxT%2FY8DyotLd2upqamX1VVVVFdXd1GWnKCIHQUwEmVlZXFtLwtKSkhtfcQ467TQzQxfpb4P23%2BX%2BDaORUtRVPRVjQWrVVwIgiC0IzgpGfPniVfUBBJzmxcECnRaZ4oYbTenG52h%2Bcb71ZbWzuIYWcDBgzIVStJQRA6EuAkuIlhgcZVg00Ddjfu%2BhUc5ly2MoXfxPVN22cNUexZfq4hClqr4EQQBKEZwQndWow0v2KO9LEpxZAvhKgl4mKJTbMDk1X%2BvF4xu85Tunaoqqqqpsc9J5QawiUIQkcCnAQ3bb755r0qKytrjLNGGnf90L51vXPZEuc2BSjNMzRglmtoQ1MUe57HoLHerVHBiSAIQlPBiVmFkeZXjUR%2FZgQ6OUT1ElxLzzVbKrFp0la7eC8PUb4xxZCXUQhPFxwT%2Fl4pgYnaCAuC0JHQddiwYT2YwVFbW0v94eac9Nvrl5s9H6KOXSuc51aL75u0pa6dr5n93Z7l1WbHo7HZ2dkVCk4EQRCaEZwwhCsvL2%2BMBSa%2Ftq9vdeeaKbcL3OGW4KzdVrl4L%2FITM4K78%2Bx57mfPtd6woX3dzQMTCZMgCB3tgKorhydwlXfu2t9eO9%2FsidB4g77CuU6cv3Zb7gHdzBB1PLuFNDl7rruitdIAQRCEZpyaGWFylb%2BnfX6K2X1%2B4jM3RZAkOGu3Ff6seGZMVuYq%2F4906eLZSowEQehEh1UNemCWqge0xyW9a6X4vll6wEEV805Ii%2FubWaoe6PZcEARhbZgwYULXXr169WYAl315dogm23Jr8rGfAOmkrGlbFqJ0Loog%2F5mXlzfFhOik%2FPz8r9nXFVplgiB0IlT4zKtfGI%2FdaF8%2FY%2FZ2iG4Dlonvm3WTvsw19B2zR83Osue5D1qL5mqJCYIgrAVjx47txuRav8b%2FswvRPCdXTsmUY9y8AkhSH%2F5jz%2FE%2BE3TmmxxLAaRZqVaZIAidBXCWN0ihocclIWop%2FKLZ%2ByG6PRHnN12DiHZSe%2FKha%2Bqf0Vi0Fs3VKhMEQVh7cLKBCVB%2Fetvbl5e5CKk7S3qdujghe8vscXuONzAV2GycfT7cPhYHpXUJgtA50NBa3rnrUGY1%2Be3JP0LUVnihNKFZmhA3SVnsmnqZz4%2Fpj%2BZqmQmCIHyBALl1Gzp0aI6J0WDvzkKnrteC8orTFSLSHV42a7g1MTuRNDk6dZkgFSo4EQShs2gDnEXHLuOwscZlP%2Ffbk%2FtDVD8xX8FJWrbSNXUyGovWorkhapDSRdogCILQiM86swwePLiQybVGmkfb6zeYvRmUypVucMLVPS03bzEBOs2e5fdM4L9unw%2FsZZAACYLQWYITOMs4bBPv4Hi0T4u%2F1TlunoKTtFO8uFW%2FgWeJ1qK5aK9aywuCIHwe3SBHpgL379%2B%2FikGBJkTHhWgy%2FAwFJ2kHJ3RlecrsKk4a7VkeYB%2B3NyHqU1xcnKvgRBCEzhKcwFnURvgwxoPMqf6lvX612T%2Bd6xScpKcPaOrNaCxai%2BaivSkt5gVBEAQGbpllDxw4sKi6urqerlJ0l7Jv3R6iriwSn%2FTEh0JROrJQ9Ph9E6HdSkpKNi8qKqoqKyvL0YoTBKGzAM6Cu4zDtjBd2J3mHvbyRSHq5PiB9CFtfUBTb487OKK5aC8ajBZrxQmCIBgGDRq0ASc3vXv3rjAhGkJPe3OqJ9i37glR60OJT3riw%2BDFB81Op%2BjRRH0Hs40rKyuLmQyvFScIQmcBk%2BLLy8tLiouL%2BxuPfcX04Tv28pnOce9JH9LWBzT1HjQWrUVz0V40GC3WihMEQTBwnVxbW1tgjnOdidA2TDJnaGCIBm69K%2FFJ23hmf7XA5Lf2HPcqLS3drKamptKec57ERxCEznZ4VVhYmGdBCrcnmxun7W3c9rsQDRN8V3yfdnDCM6NZyh%2FRWjQX7UWDPbVLEARBSDkZG2C2I21v%2FWTsIZ2Mtchmhuja%2FoScnJyvmuj03XzzzXtxa%2BJFj4IgCJ0CcBbcNWTIkIKampp%2Bxmm70IHQvnWHc504P73gBE19yJ7hmWgtmov2osFosVacIAiCobKyMtvIsSGli65SdJeyly8wmxai%2BgkFJ%2BmJz3SzGxlaZrZtnz59ysaNG0c6F8WO6sYiCEJnApzVzYKUjeAyOA1us9ducq6TPqRfkzjNnuEFcSdHtBcNRou13ARBEEJU8GikWENbw9zc3G8YWf7IXr7Y7LGggsfmCk48aGtFiPrYX2PCM57ZJsOGDcufMmVK3IVFnboEQehMaOAsOAwug9PgNjjOuW6Fc5%2BG9DZPKz5wbb0YrUVzLTAZhgarYYogCIILD60ie%2FXqVWckOcJE51ukI9nrV4RoCvBsCU6zBGeVizQTk18wu4zCUeYDjBgxIuvTTz9tEPj4oyAIQmdAKnfBZXCaF8Vf5ly30LlvlbSiWVox27X1CrTWNXcEGqxW84IgCB6cUOyYn5%2Ffz0hyx7y8vG97py5OxZ42myvBadZgLcR5iQsPM04utOe4vz3PehXBC4KQBMBlcBrcBsc518127otvUKQJaw9O5rq2crs%2BwTV3RzQYLVZwIgiCYERYUFCQn5ubO8ALHY%2F0Tl03mv0rRNPOFZys3VaaLTNbEKIBW1PNzjDB2YfTsKDBWoIgJAPd4DS4DY5zrpvh3LfMuVCasPbg5EPX1hvRWjTXtXcAWqzgRBAEwYjQxKaXic0ghgWaHUMXkRANYPy32TwFJ00aJ4aLQnSC%2BHKI2gj%2FgYFl9nm1xEYQhKToBZzm3PYHuM45b7Zz4ArpQZPByTzX1tvQWjQX7UWD0WLphSAIghFhfn5%2BQU5OzlBmcpj91IjyQhedl8w%2BUnDSpHFiOD9EbTWfNbvZhOaXdGGxzyslNoIgJCg4qfSujr%2BE65zzZjoHLpMeNBmcfOTaeg8du0xzf4L2mgYPQYulF4IgCEaERoxF2dnZW1CYh%2BDY1xQ6PmD2iguOgpO121KzOSHqXPOoPb%2BrCPLsWe5sX5dLbARBSFBwUg63wXFwHZzn3DfHuVCasPbgZL5r6wP2%2FC4x%2B7k9z7FosAUrhdILoaNufFnHs6QHJ8X5%2BflbGTEebPZ7I8rJ9vojZm%2BYfazgpElbbDYrRJ1r7rXneRFX9fYcv5KTk1MmsREEISl6AafBbZ4CfBGc59w3y7lQmrD24IT6nNfNphHc2XP8rdlBaDBanAk%2Bh6zz%2BLlMjaa%2FdZFZlVlvszq33rJ2N%2BoEOPEu9NZ%2BTG2l41K3BBJHFxOaEiPH4UaMh5qdZp9PsdefCNGArYUKTpo0ntHbZv80u9We4VneWGA7e7alCk4EQUiQXpTCbc5xZ8F5zn1vOxdKE9YenHDg95bZ46a1N9gzPJVJ8WgwWpxEH8N9J3yoLPepCt3Hqpa%2FuV4sNb6o8tgjx2ORz4EXa822NtvVbF%2Bzb7l907%2BWta2NdeNziv1GmW1J28Ts7OwKL1TL%2BqI3L0liY5%2BfbR9vC1GrQ8RmkQSlWWLzptnfza6153cy7SHNtsmQkzBBEDIkOIHT4DY4Dq4zzbjWue%2FNoJv2tA6z7PllwmEWPlMWPhS%2BFD4VvpX7WLt%2Fgf8la1v7Zkp8sa%2FHHFt7DJKzZlRZ5N88yOxXZmeb%2FdnsArNzzc6RtanxjM%2F3583XdCH5IW8e19dmg7Oysqo9QEnazIqGa3ojxpH2ex7txfD3mD1n9m7QNX1zr%2BlfNXvInuPl9hx%2FZbZffn7%2BltTzKDgRBCFBwUkR3AbHwXVwHtznHLhAwUmTtsi1FY29m6J4e45H2XPcIaFpwBvgO%2BFD4UvhU7lj%2FEP3tc5x3%2Bt8%2Bbvt5u9e4DHG2R5zHOQxyOf8lS5%2BrTLG7NdmN5k9ZvZMiK5KSa95XNamxjN%2Byp83X99tRi7tzyhUM9LY3qx%2FeXl5id%2BeJC04KfcBjD%2Bw3%2FNie%2B1%2Bs%2F%2BYvafgJK3uK7QQ%2FrM9w%2BPN9qYDmgocBUFIkl7Aad7dcW%2B4Ds4L6u6Ybo3ie66x96O5aC8ajBYnUC%2By8J3wofCl8KnwrdzHutt9rn%2B6DyZ%2Ft3383X96jPGYxxy%2F9hikas3ghLyvsR45%2FiNEhWX0wmaS6Pu%2BkGVtZzzjOf6848Jm5nyQC3qoEcZXbXMNLikpKa%2BsrMxOaHCyk%2F2uPza7wl6bFhp71y%2BRmDS7b%2F3t6lsvCEKSgxPNxVpnWxIaZ2JNtec3Ce1Fg5MYnOAz4TvhQ%2BFL4VPhW%2FmaiRspzHUfTP5u%2B%2Fi7c32vzvKY43yPQXqvGZz0MTvQ7FKzFz2yXhWiaatLZe1iy0M0QArimO63B9RfHJmfn%2F%2B1srKyTYuLiyuSGJyQB%2BoTajnNuMaj6zd8Aas1ZPMn%2Fk4hB9vsCH%2Be%2FTXxVxCEJOkFnAa3OccdAefBfc6BHyo4aVbrebT1dT%2B5noz28jzR4iQGJ%2FhO%2BFD4UvhUIUonut99rSXuey2XH9puttJjjMUec1zqMUifNYOTvmYHm00KUd7mihTHZ5WsXWy1P2%2FetHfMHurZs%2Bc5kG9paekuSb45MUKsNNIYTb91Fxmu%2FGaE6IpeQ7WaDk7m%2BDObTA42LZnJq7Vn2q%2BwsDBPwYkgCEnRCzgNbvN2wnAdOeuTnQPnKDhp1tDeee6Yk8pEx66T0GC0OMk3J%2FhS%2BFT4ViGqU3rHfa5P3AeTL9o%2BFu%2FRFR5zTPIYpO%2BXBSdX%2BB9MfbNk7Wu8cRSrPch1NVeQtqlG2QYbaJF%2FaXV1deJqTsyqTGTGGGGQd0hbyLgYfoGfZkhQ1h6ccEXP1ejl5GDbc%2FymPc9te%2FXq1dtIuaeCE0EQkqIXcBrcBsfBdXAe3OccOFvBSZOGpjKIcabfNt3ih1p0TapKml7gM%2BE74UPhS%2FnIAlIBH3Q%2FY5X8zvVi8WH8qx57fGlwcogZ01bf0OZe787mLA9OzqBdopHxSNtgG9vmKq6rq9sogcFJtf2e%2F2f2O%2Fv8rhBd85GXuDA03uLJvny9fBCiVpoTvanAHnSzoTuJkXKO%2FBlBEJICOA1u826Ee8B5cJ9z4AfyX5oVnNBymfx%2Fai7u8EGMu4Vo7keighN8JnwnfCh8KW9BfYYHJ7O0Xta7%2F%2FKGxx6HfFlw8u2U4EQPbf0aG%2BZ%2BH0h4YGlp6Yja2tq%2BtrkKkxicIDSIjOcO%2F83slRDlxC5WcNKszU0gRxMBWkJ%2Bz9bM103AhyS0RkkQhAxGSg3BELgOzgtRa9JpzoVyNtduK1xbSYGjKP6vXqu4O1qcxOAE3wkfCl8KnwrfKkQ1J7O0Hta7xcHJt5sTnGhzr1%2FjqvFeHzA11oh4q4qKilrbZL3q6%2Bs3TGBwUmO%2F6zcgDDNOMximRb1JXDilNbH24IQTsIdD1EDhMLqu2HrZJKFpgIIgZDDiNB04zrs8HhaiAueHnQvlv6zd4kZHaOwb5qw%2F4FPi90SLkxac4DPhO%2BFD4Uv5eAYOQu91X0tromPcnHxpcKK0ro7zZlGkxSDC39om2sui%2Fc1qamoqbZPlDRo0KHFDGAsKCmq9Z%2F0ZZpx%2BMb2Wa2eun1dpTTQrDfABs9MpELX1sn1JSUl9QtMABUHIYMRpOnAcXAfnwX3OgUrTadpWhcbUrhmmuVNde%2FdCi5MWnOAz4TvhQ%2BFL8XviW7mP9Y7WS8dP61Jw0nHeLArVqL1g%2Bu3udJno06dPmW2ynkkNTnr27LmPGSf%2Ffw%2BNk%2BFXKjhp1nrhed1nz%2B4UpibbetnGBLyutra2IIE3bYIgZDDgNLgNjoPr4Dy4Dw50LpT%2F0nRwstI19l00F%2B1Fg5ManOA74UPhS%2BFThWgq%2BV3ua2m9KDiRpRGc3Gn2CzpoFBcXD%2Bjfv3%2FxsGHDss16JC04CdHgnX3Nzg3R9FDyhpeGxi4aWhdN37T9zdbK701g9rX1smW%2Ffv1q%2Bvbtm6%2FgRBCEpAUncBscB9fBeXBfiOoVdRLetMVdQZe61j7h2rtvWGMIXhKAz0SdEj4UvpR3JfuF%2B1gKThScyNJ4s0hrYnrpiQxGqqmp6Td48ODCESNGZI0aNap7QoMTpoMyJfTJELWDXB4aW85pXTQjDdBI9zfkDVdXVw%2FZZJNNKgYMGJCbwJs2QRAyGHAa3AbHwXVwHtwXlKaTTnCy2jV2tmvuF07oTgLwmfCd8KFKS0v74VPhW7mP9bbWi4ITWXrByW1mzKzYietri%2F7zx4wZs2FCg5M6s2%2BZXWj2dIim%2FKbO2tG6aEYaoK2VX5aUlOzWu3fvTYYOHVrKVXYCb9oEQchgwGlwGxwH18F5cF9Qmk46wUk8Y%2BJD19wLXYPrkhic4DvhQ%2BFL4VPhW7mPpeBEwYksjTeL6ei35ubm%2FsQ20o59%2B%2Fat3X777XPHjh27gVm3hAYn%2B5n9JURDoRgQtSrleWhdNB3M3sGU39LS0tG2XjbeZpttivbYY49sBSeCICQtOIHb4Di4Ds6D%2B%2BBAOZvN1oy49mS%2Ba%2B5fXIMTF5wYuuE74UPhS%2BFT2Ws%2FCdHA5xlaLwpOZOkFJzfn5eUdV1JSskP%2F%2Fv2rRo8enTN%2B%2FPgeCQ1O%2BpgdYHZxiIZCLUq5MdFabOZNmwn0z8rLy3caOHBg3S677JLUmzZBEDIY8Uk4HAfXwXlwn07C0w5OVrvWvuDae4BrcaKCE3wmfCd8KHwpWys74FvhYyk4UXAiS%2B%2FNmm52k22gH5WWlm43bNiwCttgWRMmTOie4ODkQLPLzF4KUaGe1mB6wewtRro%2FZgLu0KFDq22d9ExoMCsIQgYjdjbhOLgOzoP74EA5m2lrx1LX3MtcgxMZnLjvlIUvhU%2BFb4WP5b6W1ouCE1mawckPysrKth0%2BfHiZba6NpkyZwibrmrTgJD8%2Fvy%2B96k1gJpkxHV5T4Vu2Xn7IBNytt966%2FLjjjktqMCsIQoYHJ7GzOWjQoHKf%2Bv1DOZstmxaP5qK9aDBanLTgBJ%2FJfaeN8KXwqfCttF4UnMha5mzeaBvoWPq4jxw5suS8887b8NNPP%2B2a4ODkECPIK%2Bzr14Jmm7TKemGtJHC9CIKQwYh5DY7bYostSuA8uA8OlLPZopknr6G9aHBSgxN8J9YL2qj1ouBEtm7O5hTbQMfU1NRsvcceexQ%2F%2FfTTPZIanKSsvyvNXg%2Fq0NXi9WLEu%2FWoUaOKJ06cmNT1IghChgcncBscB9fBeXAfHChns0Wdu1537f0f5zBJ6wUfCl8Kn0rrRcGJrGVv1ltsnJ49e37fNtJWe%2B%2B9d9HDDz%2Fc3TZYFwUnsgxfL4IgKDjpAsfBdXAe3OfO5lvyXxScaL0oOJG1nbN5g22goysqKrY88MADC2xzNTibWIKDk6sUnLTOeomDkwSuF0EQMhgxr8FxcB2cB%2FfBgXI2WxycXJXU4CReL%2FhQWi8KTmTr7mxebxvoqMrKyi3GjRvXyzZWt3ijJTw40fpr%2BXr5XlVV1eZjx47NT%2FB6EQQhw4MT%2F8j8inw4D%2B6DA%2BVstq5zmLT1gi%2BFT4VvpfWi4ETWMmfzOttA3zXi3eyggw7KI2dSwYnsS9bLm75exldXVw897LDDchO8XgRBUHDCx65wHZwH98GBzoXSDwUnX7he8KXwqfCtfL0oOFFwIkvT2bw2Nzf3yLKysk0POeSQnAQ7mVp%2FrbdejigvLx88fvz4bAUlgiAkPUiB6%2BA8uA8OVHCi4GRt6wVfCp8K30rrRcGJrGXO5jXubA6in3uCNUbrr5XWi9lhFRUVm4wbN24juS6CICQdcB2cB%2Fc5B8rZVHDypcCXwqfyYFbrRcGJrIXO5uEZ4Gxq%2FbXOepmMQBvpDjz22GM3lNsiCELSAdfBeR6cTJazqeCkmcHs4QpOFJzIdBKu4KTtNzfCfKiCE0EQMjA4OdQ5UPqh4KQ5wYlu2hScyBScKDgJujkRBEFoq%2BBENycKThScKDiRBaV1KTjRehEEQegIzqbSdBScaL0oOJG1h7OpgnhZC9aLunUJgpB4fEG3LjmbCk7WChXEKziRqZWwgpN2Xi%2F0%2Brf1MuToo4%2FumdLbXUGKIAiJCkrij3AdnOdzTtQaVsHJWteNWgkrOJFpCKOCk%2FU0IX78%2BPENE%2BJZKwpOBEFImpPp1g2u04R4BSfNDGY1hFHBiayVnM2jKisrtxg3blwviFjBiWwt6%2BUGWy9HV1RUbHnggQcW2DrpruBEEIQEByfd4To4D%2B6DA%2BVsKjhZS3DSDV8KnwrfSsGsghOZnM3mBidXmr1utlrrIK31Mt1siq2X79fU1Gy19957Fz399NM9OCmaMGFCV7kzgiAkBXAa3AbHwXVwHtwHBzoXyn9pvq12zb0yycGJglkFJ7LWC04%2B52w%2B%2FPDDDcFJAp1NBSetE5zcmJeXd2x1dfU2Y8aMKZkyZcoGrBUFJ4IgJC04weA4uA7Og%2FvgQAUnCk6%2BJJjtgg%2F1BcGsghMFJ7J0T8KNcI8pLy%2FfetSoUcUTJ05M6kl4w%2Fqz35X1d4XZa2artA5aFJz8oKysbNvhw4eX0f%2FfxLubghNBEJLmbMJtcBxcB%2BfBfQpOWmSrXHOvcA1OanDSFR8KXwqfCt8q6KZNwYms5SfhtpG2GTlyZMl55523YVKDk%2Fz8fIKTg3NzcyeZvWqvrdQ6SHu93GTP8IelpaXbbbLJJhW0TLS10t0%2BdpM7IwhCUgCnObdlwXVwHtwHB8rZTNtWorloLxqMFic1OMGHwpfCp9JNm4IT2bo7myO23nrrcoYHJfQknOCkj%2F2uBxlBXmb2X3ttmdZgWutlhtkt9ux%2BbDayvr6%2BetSoUT3Hjx%2FfQ8GJIAhJC07gNjgOroPz4D440LlQ2tF87ViG5qK9aDBanMTgBN8JHwpfCp9KwayCE1nLnc2bbQMdZxtp%2BwEDBlTuscce2Ql1Nll%2FEOIBZpeY%2FcdscYhyYT%2FRWmzWennb7DYTmON79uy5U51h2LBh%2BWPGjNnQBLy73BlBEJICOA1ug%2BPgOjgP7oMDnQulGU1rxieusYtdcy9xDU5ccBIHs%2FhQ%2BFL4VPhW%2BFgKZhWcyFp2Ev6TkpKSr%2FTr169mzz33zLVNtkFCg5M6s%2F3MLjJ7zmxBiHJhFZw0Pzi5w9bLSfn5%2BaOrq6s3HjhwYNGIESOyTMB7yJ0RBCEpgNPgNjgOroPz4D44UMFJWsHJKtfa51x793MtTlxwgu%2BED4UvhU%2BFbxV006bgRNbik%2FCf9ezZc%2BfevXv3SfBJeBycfMvsArOnzT40W%2BEnO%2Brc1fR6mWl2l62VX%2BXl5f1fbW3toE033bRs0KBBPRWcCIKQtOAEboPj4Do4D%2B6DA50L5b803aFrtWvsh665F7gGJy44Sb1pw5fCp8K3CrppU3Aia1FwcrttoBPz8%2FO%2FVl1dXT9ixIhCTosSGpz0Nvum2Xlm%2FzD7IER1J6sUnDRrvbxjdo%2BJ9G9tzezFBNyamprK%2Bvr6PBPxDeTOCIKQFMBpcBscB9fBeXAfHOhcKP%2Bl6eBklWvsB66557kG905icILvhA%2BFL4VPhW%2BFj6XgRMGJLP2T8Dstwv%2BFke6ulZWVA%2Fr3719skX92Ak%2FC4%2BBkX7OzzR4zm2W2JERdu9RWuOn18q7ZvUa4J9uaGVtcXLxVRUVFbV1dXS8T8Q3lzgiCkBTAaXAbHAfXwXlwHxzoXCj%2Fpen2wStdY2e55p7tGpy44ASfCd8JHwpfCp8K3wofK%2BimTcGJLP00HbOGNJ3y8vJBffr0aUjTSeBJOOuv1mxvszPNHvHff1GIrp0VnDS9XhCY%2B02gT7P1ciDdSGpra%2FtWVVUVmYhvJHdGEISkAE6D2%2BA477x0INwHBzoXyn9pOjhZ4Ro70zX3TNfg2qQFJ%2FhM%2BE74UPhS%2BFT4VkFpgApOZC1L0zH7jZHuN4yAhyY4TScOTvYyO93s4RC196NQb1nQzJPmrJf3zB5CYGy9fIeCv%2BLi4gFGxExPzpI7IwhCUgCnwW1wnBc3f8ed64ecC%2BW%2FNDHbxLV1gWvtw669eyU1OInTAPGl8KnwrYLSABWcyFqUpvM3s9%2F37NlzXyPhLSsrK2sSmqbD%2BqsxwtjT7FQ%2F%2FXrdbJ7ZUgUnzVov75tNNTvP1st4cmpNvAebcJfbusmWOyMIQlIAp8FtcBxcB%2BeFqGZiqnOh%2FJemg5OlrrFoLbfup6LBaHHSgpM4DRAfCl8Knwrfyn0spQF2guDk2ynBiR7a%2BrVZ7qSfYhtp%2F7KysuFmfaqrqwsTmKbTJSsri0Fau%2Bfl5f3Bvv6r2ctmc0LUg32F1kOTm5uixr%2Bb%2FYXJtzxLE%2B8tioqKqmzd5MidEQQhKYDT4DY4znWDad9%2FcQ78QM5mk7bCtXWOa%2B1f0V6eJVqctOAEnwnfCR8KXwqfCt8qNKYBak2sX4uDk29%2FUXDSLyU4eVMPa70bV9MPmp1upHGIkcYORsQbW%2BRfnNDgpMp%2Bz9282xS96l%2FwZ%2FCx2XKthyaDk9lmT5hdZs%2Fvp5wMlZeXb1NRUdHb1k3PpImNIAgZiy5wGtwGx8F1cB7c5xw4W8FJk7bctRWNfQHNRXvRYLQ4icEJvhM%2BFL4UPlWI0tge9GegNbF%2B7c2U4KRfWEtaF9d8at%2FaMWoIzrLNdKgR8KiioqKBFvWXJrCGIA5O6KDxK%2Ft9mdr6bIgK1eaHKDdW62Lt64UTsKfMrrZn%2BEt7lgdBwvn5%2BX2Li4tzFZwIgpAUvYDT4DZ3NA%2BC8%2BA%2B58A5Ck6atGWurWjss2iuz8jaNYnBCT4TvhM%2BFL4UPhW%2BVVCNUkdpa%2F16aCKt62CzSWavhMYuSXHLOVnbW%2Fy8efYUaT1kG%2Bkc20hHlJaW7pLgGoIu2dnZld57%2FCQjyOvttSfN3gpRTqyCk6aDk7ke0N1gz%2B%2F39hwPY9CUfb5xQUFBvoITQRCSohdwGtzmw%2FQOg%2FPgPufAuXI2mxWczHONfRLNRXvRYLQ4aXqRWqOEL4VPhW%2Flwck78nfXu7%2F7isceB39RcNLH7KAQXY2%2BFBpnTKzwhSxre1vuRqEag4EetA10rtn3bGPtSpeJ4mLadCcyOKnIycn5KtfzZpyAkTv8mp%2BCLZWYNBmcIDTPm91qz%2B90WzNH%2B03UJr0MCk4EQUiKXsBpcJtz3NFwHtznHDhPwUmTttS1FY39O5qL9qLBaHESgxN8J3wofCl8KnyrEKV1ve3PI%2Fa%2F5Iu2j60IjbN2XvLY4yCPRT4XnNSZUSR0kdlzZh%2BFqGCKPti0m5sva3MjB3ShP%2FvXbPPcS3RvdpRtqN3MNq%2Burk5igXMXI8VyrltNbH5kJHmZn2iwYD%2FwxStBWXtwwpp50exue47n2zP8Me0S7bkOyc%2FPL1BwIghCUvQCToPb4Di4Ds6D%2B5wDP1Jw0qQtcW1FYx9Cc9FeNBgtTppe4DPhO%2BFD4UvhU7lvda8HaB%2B57%2FWx%2FNB2sQUeWyz2Z%2F%2Bcxx77eyzyueCE3tb7hKhX%2BLQQFajQYo0rr%2Bkhuv6Tta0RwZMD%2BqZtmqeNMG5hsJRtrCOJ9quqqjZLcHBSZr%2FzV4wgjzGj6wot%2Fv4dok4aiyUmTQYnbHiuRmkJeYnZz5mabM91c3uehQpOBEFIil7AaXCbT4b%2FOZwXos5LrzgXKjhZuy12bUVj%2F4bmor1oMFqc1OAEHwpfCp8K3wofC1%2FL%2Fd2Z7oPJF217m%2B6xxbv%2B7Kd57LFPWGPOTmrO%2F4n2Zk22jw%2Bacd33qNnDZg%2FJ2tymmT3iz%2F4WI4sL7ePPbCPtX1xcvGNtbe2gurq68iQWxNuaK7XfdXv7%2BF2%2FbqVj1zOhcVK8BGXtwQknPrTjY9LvZHKwzQ62Pb2VPddiBSeCICRFL%2BA0uA2O83qTyc59bzgXKjhZu8WT4dHYOzx9%2FLuuwaUhgQXx%2BE74UPhS%2BFT4Vu5j3eI%2B1yPug8kXbXt72GMLYowHPeY48YtqntjsRfYNhtPsZ5%2BfQFRpn59tH5k4%2FSdZu9gZ%2Frx59r%2F2k4xvlZeX71RaWroZrRNtcxUkcQij%2FZ4l9vtuS3Gj5w%2FfZPYPj7AXSmyaNJ7RjBA1ErjZ19LhPFOerYITQRASqBeHw3VwnnPfDOdCacLaD7MWuraisTehud5YIJF6gc%2BE74QPhS%2BFT4Vv5T7Wr%2F0W5UzXTfmi7WNneozBsz%2BB2IMYhFjkc%2BuPa6%2BsrKwavuk3KN%2BwP7yPfdzbbC%2FP7ZS1re3t9g3bNGO4YuX9oDc3A6cYIuTF8N2TeBJmv%2FPW9B%2F3QYzXmD2qk7C0rum5IqUg9B5OhLxQdGQSr%2BkFQcjc4AROg9u88ceFcJ5z37tBacDp3LSjsdegua69Wyf0pr07vhM%2BlA%2Fv3NgP40klH7Om%2FyVrcyOm2NtjjG8Qc%2FB%2BEIN8UdlCd14kaqFbA3%2BooKCgFuNzWdvbGs%2B7CgImt9aQx8byG5PuCSSO1Ju7%2Ff0kg7ZyFMW%2FGqLiKQUnTRc4MnyMab9TeX5eKLpTEgscBUHI6OCEBio7eeMPtGKqc9%2FsoAYqzQlOFri2kmIzCc1Fe7%2Fw5DohawbfCR8KXwqfyuuWyvC15O%2BuX3%2BXmIN154FJ97W9ibKOZ4kWGyeKzXzaL2mFdG6gk8Z%2Fgwoc0%2BlbP93sKXueN1AoamIzOol96wVByNzgxGtkR8NxcF2Ihi9OD5qLlU4DFbT1XrTW02r2RYMzpIGKfEr5uYLQNFHQGtLIcVMjyT28pSFF8XeZ%2FSeoNWRzjJ7h5BHH7SHvsuf4O7Pd7PMqLTFBEBKEKrgNjnOdiNvOL3QulCY03Xoebb0LrfUW%2FnugwWo9LwiC4MHJGkO1jqJgyl6%2FJUR5xB8qOGnSVvqJIbnEFIU%2BbEZjgW%2BYVWuJCYKQIFQ7t53uXDfDuW%2BZc6E0Ye3ByYeurXSq%2BhOaq6G9giAIawQnngO6sZHjzt41hPaQ15s9azZXwUmTttpsVYgm3JJ3TecaBpONNestsREEISl64Zw21jnuSee85c6Bq6UHTQYnc11br0dr0Vy0Fw1Gi6UXgiAIRoTFxcW5%2Bfn5fY0kdzCCPNCI8hf2%2BlUhyiWeo%2BCkWYITBykf%2B6nYxWYHITiDBg3awD7vGpTbKQhC5wxIsK5wGZwGtznHPe%2Bct3oNLpR9uVbMcW29Cq1Fc9FeNBgtlkYIgiAYSkpKelZUVNTSytDby%2F3EXr7U7HE%2FFZPgNN%2BWhqjY8UrmAOTk5AwZMGBALqI%2BduzYbh6kCIIgdBZ0hbvgMLgMToPb4DjnuqXi%2FbSCk9murZeitWgu2osGo8VaboIgCAba%2BxUXF1cyIMlnvBxtL9O%2Fnqm%2F7ys4Sbs4%2FvUQXdkfYza8X79%2BpaNHj84ZNmxYDw9QBEEQOgXgLLgLDoPL4DS4LUSpv68HFcGnG5y879p6oc%2BKGYP2osE%2BS00QBEGorq7OKisrKy0qKhpoZDkqNzf3UHv5rBDNOnlPwUlaRt71dLNb7TkeTy5x7969%2BwwZMqRgxIgRWaNGjequFScIQmcBnAV3wWFwmdcmHg%2FHOdetEu%2BnFZy859p6FlqL5qK9aDBarBUnCIJgqKur24jprUaOfcyGMxDKXj7F7L4QTf1VcJKe%2BMw0u9sHWu5RU1Oz6aBBg8rj9C6tOEEQOgvidC44DC7ztre%2FhuOc66QP6enDu66tp6C1aC7aiwajxVpxgiAIKeLTu3fvitLS0qEmPrSJ%2FI3ZPWbvSHzSFp9ZZvfbczw1Ly%2FvABOebTlxlPgIgtBZD6%2FgMLgMToPb4DjnOulDevrwjmvrb9BaNBft1eGVIAhCCsgn5tp%2B8ODBhSZCG%2Fv035PsW3foZKzFOcXTzM7r2bPneBOfr5WXlw8uKSkpV06xIAidCXAW3AWHwWVwGtzmHKeaxJbdrN%2BBxqK1aC7aiwajxVpxgiAIISp4NNtg1KhRPevr66tNiEYacf44RIMYZ0h8WtSN5Qmzy%2Bw5%2FtTEfN%2B8vLxtCgoK4m4sahUpCEJnQBc4C%2B6Cw%2BAyOA1uc45TN8f09QFNZQDjj9FaNBftRYPVMEUQBMExYcKErlOmTOl27LHHbrjFFltwRLaNd2O5wezNoILHlgzZesbsOnuOv%2FOix500ZEsQhM4WnKQM6d0JLoPT4DbnOA3pTb9hCpp6AxqL1qK5aC8ajBZryQmCILgAffrpp12NGLsPHz48LycnZzMToSPt9clmr4Zo%2Bq%2BEpfnByTyz%2F5jdaYJ%2BjonQD%2B157m6fD87Pzy9QcCIIQmfRBjgL7oLD4DI4DW5zjpun4CQtW%2B6aOhmNRWvRXLQXDZY2CIIgfD446cKpDXmvRpoDzb5jr08ye8lscYoASYiaDk4WmL1m9pA9x0l0tqEri4n8lvZ1kQRIEITOog1wFtwFh3kHQnThIee4BdKEZmlC%2FHGxa%2BokNBatRXPRXjRY2iAIgvAFQkRPexOifnRksa8vMvuX2fzQmNolIWraFoYor%2FgpEx9yi880O8JshIl7iQRIEITOoglwFtzlHAaXUYv4lHPcQvF9s4OTVa6laOpFaCxa67OvpAmCIAhrEyOz3iZI37SP54ao6JGOLEudXFdLbJq0Jf7MXjR70MT8Uk%2BHGJWTk1MuIRIEobPoAZwFd3l66qVwmnPb%2B8514vy122rXzqX%2BzNDUc11je0sPBEEQmoca%2Bq%2BbneZC9Kaf%2BCwzWymxadJ4Th%2BF6GTxabMbTYh%2BYeL%2B9ezs7EqJkSAInSU4gbPgLjgMLnNOm%2BEct0x836St9Oc037WUA6vTfJ5YjZaYIAhCM8TIrMrEaIwZQ6KYdfKC2XtmHwcVxzfHVoToRPHDEBU%2F3mv2R3uWe2ZlZdUoOBEEobPoAZwFd8FhzmWvOrctca4T5zddBP%2Bxa%2BgLaCraisaitdIDQRCE5p2UVeTk5OxiJHpCz549rw3RNfSbLkhLJTbNahe50sUbQXo8RNf4Y%2FPz8%2Ft6jrEgCEKHhtcg9oW7QpTm%2B7hz2hLnOLWZb9qWunaioU%2BgqWgrGovWKjgRBEFoRnDiOcY75uXl%2FcBI9BJ77YHQmGO8WGLTrALIT0JjAeTzZpfSncWe66ChQ4fm2NcEKGodKQhCh9MA56bucBWc5d0bL3UuixukxDwnzl%2B7LQ6NNYgPoKloKxqrGkRBEIRmCpORZqkR6Hb0YbfPz7bXbgtRnvHbZoskNs3uzhIXx79sdo09y6OZslxWVlZqljNo0KAN7HVNBBYEoSOhG9wER8FVPhn%2BaDjMuWzJl3Cd7IttkWsnGnobmoq2orForYITQRCEZgQnRprFJkhbmx1s9gcjUETpUbM3QpQ7K0FKr%2F6E63xaCv8sJyfnq6Wlpf2qqqqKEP9hw4b10JITBKGjAE6Cm%2BAouArOgrvgMOcy1Zmkd1D1sWvno2gpmuraujVaq%2BBEEAShGcGJkWYhk2uNSPc18jzRbKK9fp%2Bfms1XcJJ2%2FclMs3vsuf6OZ1pcXLxlRUVFbV1dXa%2F6%2BvoNteQEQegogJPgJjgKroKz4C44zLlMdSbpBSfzXTvvQ0vRVJ4pGovWKjgRBEFoRnDSy0CesRHnbmbHMHgrRKld%2Fzabp%2BAkbXGigPRhv84%2FrLy8fCcT%2Fk1KS0vLqqurs7TkBEHoKICT4CY4Cq6Cszy992HnMvF%2Fevw%2Fz7XzNrQUTUVb0Vi0VsGJIAhCM4KTwsJC4868egZvUQhJ20N7na5dz5jNlTilbbND1PHsMnueP7Hnuo%2BJ%2FjacTJaUlPTUkhMEoaMAToKb4Ci4Cs6Cu5zDZovP0w5O5rp2Xuvt%2Bb%2FjQy3r0VoFJ4IgCM0ITpohTgpO0jPaSP7L7EZ7liebHeGtmvsXFBTka8kJgtBRACfBTc5RR8BZIRq%2B%2BC%2FnMnF6esFJU4dTCk4EQRCaQmVlZbaRZnlZWdmmpaWlo41Mv2t2nn1rWohaIio4ST%2Fn%2BL9m95o4XeTzY%2FZRzrEgCB3tcCql5pCDqRPgrBANX%2FxvUM1hS%2FgfzZyGhqKlaCraisaitVpygiAIzUBdXd1GdGqpra3ta0Q6wsTqQBOoU%2B1b95u9K3FKW5wWmk3n9Mye5RR7lqeZHWqfDzexKlFwIghCRwlO4CS4CY6Cq%2BCsEJ38T3cuE%2F%2Bnx%2F9o5v1oKFqKpqKtaCxaqyUnCILQDNDjvri4OLdPnz5l5eXlg41UdzfB%2BrV96%2B4QdWuROKVnzAX4IEQnjw%2FZ87zMROpH5B0zhOvTTz9VcCIIwnoHXORDeKmJ%2BBFcBWc5d30QPj%2FjRNa84ATNvBsNRUvRVLQVjfVZV4IgCEIz0I12kpAnebFMsvW6E%2FrczzBbLdFJy5abLfATNCYsM4hrgon%2FmKysrCoFJ4IgdJTgBE6Cm%2BCoEHVpfN65a4FzmTi9%2BbbaNfMWrzfZ0Vs053obeQ3hFQRBaA4mTJjQFdJkGNfgwYML8%2FPzhxmpHmWvXWf2utlKiU7as04Q9Y9dqKbRUpJe9%2FZs%2B4waNaq7Vp0gCOsbcBGc5DOuaCE%2FzTnrY%2BcwzThJz1a6Zl6HhqKlaKoP3%2B3mWisIgiA05%2FQs%2Fnzo0KE59GM3oRpnX04ye9FskZMup0JK8Wre6RnGZGW63TxrdnFeXt637dkOHjRoEB1bevgpmm5RBEFoT3Rx7ukBF8FJcBMc5Vz1oXNXzGPi9KZTuVa7Ri5yzZyEhqKlaOoXaa0gCILQTJAT6zNP9rcvLzR7ymyO2eIUwZIgNS1WcZCCWJG%2FfY090%2B%2Fbs922rq6uXNf8giD8P3vnAaZXVX39k4IyMzGTMjWZFJJAYugiJSAQ0E8MCIIYBSs2%2FCuKBRu2IFVAehVQQHrviFKkKCBIVVHpPYGEFNJpfvs3d93MmwiSmffOZGbetZ7nOJN3gjD37rP32fvsvdYqwrI2XnwRPgnfhI%2BSr1pQ4uddjFq5YtQripEzFTNPIIYSSz1nYhiGUSa45h80aNDod73rXbvEHw9P2XDkEylTvV2U3OLV3iSF1ojHY10Wz%2FSHEay2i0PBeAYkxXm%2Fmq3OMIwuxGr4Hg1pj8cn4ZvwUfJVS52UtLuVa5Fi5BOKmYcTQ4mlbuM1DMMoH32rqqpaImBtL6X4K2I9mDwg2dHkhJ5t2FvQPDmEalpjY%2BNmDQ0NppY0DKPLkVPH44PwRfgkfFPKtE2ekc9yctIxAhRi5RXETmIosZSYaqszDMMoD32qq6uba2pq3h8B63uxzorP%2FhTrkZRdWS92MOqQKNdtsU5Ua9f2cTBYv66ublgcDmpscoZhdBXwOfgefBC%2BSC1dJ8pHWXS3%2FWuxYiMx8k%2FETGInMZRYmjxXaBiGUX5yEsGqIZzr%2B2AbieB1fHyP3sn9qgwtcDBq95oV655Y54pSmMH4rWtra8fS922TMwyjq4DPwffgg%2BSLoBA%2BVz5qlv11u9cCxcb7iZXETGKnYmiDkxPDMIwCkpNwqnXhYDeO9Zn4%2FqBwsAQubk%2FoR37ZlbV2r7mxHop1rZK9fWJ9pKamZt04JAy2yRmG0VXA5%2BB78EH4InwSvkk%2Baq79dbtvxl9WbPwTsZKYSewkhhJLnZwYhmEUkJyEUx0SwWs9Bvq4no4%2Fc%2BV%2FXcqYXOY4OWn3mp%2ByQcnb41leEM%2F0F9BMxvebRjCrd%2FAyDKOr%2FDs%2BB9%2BDD8IX4ZPwTfJR8%2B2v252czFFsvI5YqXboXYihxFL7d8MwjAKC1%2BDBg2vDuY6vra39fxHI9tSw5EUpa%2B16yclJuxdMLtNTxn9%2FYzzP0yJofSue7TbV1dXD4rN%2B5r83DKMzIR%2FTD5%2BD78EH4YvwSfJN0%2BWr7LPbl5y8pNh4kUhP9iR2EkOJpU5ODMMwCkhOoJlsbm4eJf77qeFkf5AyQca%2FpGzwz0Gp%2FWwuVNeeURCDsnO%2FeK4fhmrSPPiGYXQF8DWiiv8wPki%2B6H75pjnJbIwdWTMVGxFe%2FAExk9hJDBVdvJMTwzCMcjFs2LDqcKpNjY2N6zQ0NLTensTHx8W6JWVsLg5IHePBJ%2Fg%2FFevWWEfHc%2F0E1bWNNtqouuTmxIHMMIxCC078Dz4GX4PPwffgg%2BSLnpJvso5Vx9YMxcbjiJXETGInMZRYavMzDMMoAKgHjxw5cvBo5IObmjbRIfrg%2BNEfUsZK4raujumdUJVk4PSBWL%2BJZ%2Fql6urqDVtaWobsueeeq02bNg0%2BfHPiG4ZRJPriW%2FAx%2BBp8Dr4HHyRfNFe%2ByfomHfPtxMQ%2FECOJlcRMYicxlFhq8zMMwygAG2200WoTJ05sVRAeNmzYhIEDB04Jx%2FujlAkyPqnqmoNYx1u8HktZf%2FJ3oPPk%2Bj%2BC2EACmdWEDcMoEvgUfAs%2BBl%2BDz8H3pGyO8LHkVq5yEpNXFROvIEYSK4mZxE5iKLHUFmgYhlFQMENFeMyYMbUtLS3Dw%2BluEU537%2FjR%2BbEeTpno1Otyzk5S2rd4bs%2FG%2Bl080%2F3joPDR%2Bvr6DYcPH97C83alzTCMIoFPwbfgY%2FA1%2BBx8Dz5Ivuh1%2B%2BV2JyVv6LktVkw8nxhJrCRm8ryJoS42GYZhFIe%2BeYISa1BNTc364XS%2FmLI2gAdjzVPF6HUnJx1WjM97lP8vgtp2jY2N69bV1TW7R9kwjCKBT8G34GPwNfictPwMoX14%2B33464qB8xQTadP9IrGSmFmSmLhN1zAMoyD0kVPtR9UtAtqaEdB2iz8j1nWnAtqikgTFAat9gQ12l7%2FGOmdFxfghQ4YMTB6KNwyjIF%2BOT3kTRfhz5INmOjnp0O13TnIyQzERVfjdiJW6%2Fe6nGGpfbhiG0RnBraqqaoTUhH8Rf74hZX3Ks1N2pW12l46JdqHGTGvXCfFcv2vRLsMwOsN%2FryCq%2B118Tspauh5KFtXtKPviYsVAYuENEtb9CLHS%2FtswDKNr0FxbW%2FvBAQMG%2FDgc8MXx53tSxosPy8sSB6sOKcZD33lXrEvjmf6SlgDpytTb3AzDKApShN8MH4OvwefI9zyVrAjfkbVEsY8YeA8xkdhIjCRW2uIMwzC6ADU1NY3hfLfSwN%2BpKbs9QVE4b%2B9ywGrfouo2K9ajsf4c6%2Bx4rt%2BP5%2Fz%2B6urqZqvFG4ZRBPAl%2BBR8Cz4GXyOf86h80GL743avvJ2LGMityanERmIksdJWZxiG0fnoo8rbpuGE9%2BD6Or6%2FMD6%2FI9YTKau8uS2gfeuVWAt1OIDp5fexDolnuzPqzaafNAyjCOBLpAi%2FMz5GvuZh%2BZ6F8kX2ye1ry52v2HcHsVAtXXsQI3Xz7eKSYRhGZycn6lleHwpKqm%2Fx55Pi8%2Bti%2FTNl19tOTsobqPxLrJM0rLpOrnkSn%2FV3oDMMo70%2BG9%2BRa5vgU%2FAt%2BBj5GhOalJeczFXsu45YSEwkNhIjPTNoGIbRRYFu8ODBteGA11JrALMRB8bn3J7cF%2BslB6wO8%2BRzOHg5Ze0BsOfQNve%2BYcOGjaitrR3c0tJSpQTFMAxjZdEf34EPwZfgU%2FAt8jH%2FkM95NVmnqqPrJcW%2BC4mFohAmNq5FrHRyYhiG0QWor68fQJCrq6t7L%2B0B4ZC%2FHR8ze3J7rBcdrDqUnOQ3KAxXPh7ryljTeL7xvDdobm4eyeHCooyGYbQH%2BAx8Bz4EX6KWrmnyMY%2FL57y%2Bgi%2FyWvn1omIfsybf5vkSG4mRxEpboGEYRheAKlxTU1N9OODx4Xy3Cmf8uVhHxI9ujPW8A1xZSQoVzOdi3RTrmAEDBuwZB4v%2FZ1FGwzA6glLRRXwJPgXfIh%2FzXGq7NbEP7pjPJubdSAwkFhITiY3ESN12G4ZhGJ2NiRMnvmPMmDG14XiHNzQ0oBb%2FEQl5XZ0yOkq3CJQvynh3rLPiuf5k4MCBn4pnvGUcLMZE0HuXLdAwjJUFPgPfgQ%2FBl%2BBT8C3yMRZdLL8Vl5h3NTGQWEhMJDYSI4mVtkDDMIyuQWsPc6whowPhlCeHU%2F5OyuZOYH5huPJ1JygdXqUDlidKlHFnBlkHBWx%2BhmGsLPAZ%2BA58iEQXT0zLE5jY53YsMXldsY6YB0vXd4iFxERio2cEDcMwuhZ9oaSkXWD48OFDa2tr3xOO%2Bcvx%2BemxHlTAe6UkQXFAa99akDJBr7vjuV4W68hclDG%2BDrX5GYaxssBnlIgu4ksuS9mtyTPyNfa57U9OXleMm6uYdzoxkFhITCQ2igK%2Bry3QMAyjawD7SN%2FJkye33qCEUx4fwW%2F3%2BOz4lOmdTE9tnPmvOZh1WJTxsVi3Dxgw4ByJMn6gurp6WDL7i2EYK%2Bmr8Rn4DlHcwtB1u3yLRRc7tl5LbdpU0xXzjicGEguJicRGJSb21YZhGF2NqVOn9hs8ePDIcMo7JYt6FSnKSEXzhVj%2FinUdwl5w50cAHEfwU1Wun4OfYRhvUjzqh4%2FAV%2BAzpEn1i5S1c%2F1LvmWB%2FXOhork7EQuJiTZBwzCMVYzq6upmWGDCOf8wAuH5KRP2QjF3dspoKh3Q2l%2BZ47mhPwATzJ2xTo7n%2BwXaBmCBmThx4gDRCjsQGoZRin74BnwEvkJtt1%2FAh8iXPC%2FfsiT5Zrsja4liGzHuL8Q8Yh8xkFho8zMMw%2BgGGDBgQAPCXvH1q%2BGoj4%2Fvr4mP708ZTaV7mjuuGE8QnJcyoTQC4D60Z9TX16%2FZ2NjYwOFDNyiGYRitwCfgG%2FAR%2BAq1dO2DD5EvmSffYkX4js8EEtvuJ9YR84h9ioENtkDDMIxVjz4MXNbW1m5Ez63oFM%2BIz%2F8Y6xEFQg%2FFd2zgkqrm0lhPxro2nutB8Xx3i0PHpiNHjhzD4OXo0aNXtwkahpEDn4BvwEfgK%2FAZ%2BA58iHzJUvkWE5Z0zDfPU2z7I7GOmEfsIwaKsMSttoZhGKs6ORFV5bvDQU%2BJr3uFg%2F5lfA4jDCwmsx3Qyg6G9If%2FKZ7ryfGM946vO9bV1b1nyJAhLXH4qLEJGoaRA5%2BAb8BH4CvkM2jp%2BpN8iROS8tZsxTaYFH9JzFPse7eo3p2cGIZhrGrU19cPCJ88Khw0VbqPwQqTMlphZk9mOZgVEgwfiHVJPNtDUHhWq8ZacQgZaAs0DCMHPgHfgI%2FAV%2BAz8B3yIS4Wlb9mKbadLga0jxH7iIHEQlugYRhGNwCMMAxe1tXVrRVr63DYe8THR6astWuGg1nZi%2BFVqD9vjWf72wiEP1cbwXvi6xBboGEYOfAJ8g274yvwGfgO%2BZCX7U%2FLXjMU29CM2YOYR%2BwjBkp40TAMw1jVmDhx4jsYwBw9enT456a1w2F%2FeMCAAT%2BLHzEYj9CX2wjKW6gQw6f%2F91jXx%2FM9hVaNeMZb19TUNCW3ERiGkaEPPgHfoHauU%2FAZ8h3T5UvsU8trsyWmXUOMI9YR84h9xEBioU3QMAyje6DflClT3rnFFlu8a9iwYSNgLYnA%2BM34%2FIKU8cAj9JUzwzhR6Rh1JUrET8e6L9Zl8Xz3o5%2B8trZ2jIbiLfplGBWakGjv98cX4BM0a7Jfymb%2F7pPvmJtM7V4OQcmrimXEtAuIccQ6Yh6xjxiYTO1uGIbRbdAX4Smcc0tLy5CampoNxKt%2Faqx7U9ajC%2F3i0mTqyo4sgiIVz5dSxrZzS6xjIzh%2BJp71%2BjzzCJDVohXua3M0jMryv%2Bx9fID87%2Fr4BnyEfMWT8h2L5EvsU9tP7b5UMWyWYtqpxDhiHc%2Bc2CfxRftfwzCMboI%2B06ZN6zt58uT%2BBEiGMQcMGPDx%2BPyIWDfFejy1KcY7OHYsOOaqxBwyGGw9K2%2FtampqGp0nKCm7QTEMo3LQP09M8AV5Sxc%2BQr7iJfmOV1wc6nBxKFeEf1wx7QhiHLGOZ0%2FsIwYm31wbhmF0rwQlqYI3ePDgkREct9fcySWqND0Va05yW0ERbQUEyCvV2rULlKHNzc0jR48ePUiq8YZhVAjY8%2Bx9fIDog3dRS9eV8hVuqy2%2FrXaOYhix7BJiGzGOWFdyY%2B3ExDAMo7smKW8zkLnQwa7sRAW2GNo1jovn%2FH%2FxnLdrbGxcNw4mzbo9MQyjQsCeZ%2B%2FjA%2FAF%2BAR8g3zEDCckZa%2BFyYQkhmEYPRtSjH9vOPBPxzownPi5KRMAo4pnKstidE8YcmUo84B43p%2BPZ7xNfD8uDinvsgUaRuWAPc%2FexwfgC%2FAJKSMjuS9Z16QoKndi15%2BIZcQ0YhsxTorwhmEYRneHFOMncu0d6xvhwNE8uVKVpzkOdoUEy0dj3RzP9gxaDGJ9guHMCJiDbYGGUTlgz7P38QGitz0D3yAf4WJQ%2BWuOYteVxDJimtqWJ0oR3jAMw%2BjuoJIXPnt0OPLNCZjx9YfxMQETVd0Xk9sMimoz%2BFusP8Tz%2FRUB020GhlFxKG2jpRD0K3yCfIPbaItpo31RsesMYpli2ubEON9UG4Zh9BCgkltfX48g48QInO8PR%2F7F%2BPiolLGcPBfrNScohQxoluqeoAS9ExoHPH8NafZzomIYvS8hYW%2Bzx9nr0jXZCR%2BQltc1MQFJ%2BYnJa4pZxK6jiGXENGIbMc6K8IZhGD0EqORy3T1kyJCWhoaG9cOhfyQ%2BnhbrqlhPpIwz3slJcbont8Y6Lp7z56qrqzccNmxYXQTOXK3YomCG0bvQj73NHmevs%2BfZ%2Bykbgr81WdekyORkqWIWsWsasYyYRmwjxlkR3jAMo%2BegPxUlnLcU47eUYvx5sf6ZMjGr10sCgANhebonD8Y6O57xtwYMGLBtBM%2BxTU1N9Y2NjTW6QTEMo5eAPc3eZo%2Bz19nz7H18gHyBdU3KT0pyP7tAMes8KcJvSUwjtunWxLpShmEYPQStbQdUlcaMGVNbU1Ozbjj1PeIzaIXviTUzZe0Grzl4FqZ7cjUsPQiDxaFlk1GjRq2BKNvo0aNXtzkaRu8Be5q9zR5nr7PnxdB1dbKuSVHFn9cUo2YqZp1CDCOWEdNKbqXdNmsYhtHTgBOnJzoC6Efjj4fHujHWYymjuMyDqANieYnKCymjaj5ZQ7Efrq%2Bv33Do0KHDqbDaCg2j94A9zd5mj7PX2fPsffmAF5yQFNI2u1gx6jHFrMOJYcQyt3IZhmH0cEybNq1vVVXV8HDqH4xAum98dH7KmE%2BekPP3wGYxVJe0c1wWz%2FgwRNj0vMcPGTJkoK3QMHoP2NPsbfY4e509n7JB%2BAeTqdqLIhyZrRhFrDqf2MXzJpYR02yFhmEYPRt9IoA2hHPfIr7uGevo%2BOyKlF2VP5Oynl4HxPIWz%2FDJWLcPHDjwvHjWB8fXz0gIc4hN0DB6D9jT2tuf0V5nlu92%2BQD702L86TOKUVcQs4hdimENya1chmEYPT85IZhKJGxXeOJLuPj%2FFWtuchtCuYsWBHqjH451azzfM2Ptw6BsdXV1s4OpYfQef8qeZm%2Bzx9nrKWPoelg%2BYLH9YdltsnMVm1o1pKRtsisxTMUe%2B1PDMIyeHkxpQwisGQ5%2BG4YKxcdPtS8fjndyUt6ClWd%2BrBmxHor1u3jOhxBQee7Dhg2r9gCnYfRcH5pEMMJeli%2Bl0HMIe117foZ8wCv2h2UnJ%2FkQ%2FHnSj9qD2MVzV5usfahhGEZPBwG1rq6uuaGhYb1w8B8KR%2F%2FV%2BPiElFX8Zjg5KXvlzDIvp0ww7M5YVPy%2BFM97E5794MGDa8XcZd0Tw%2BhZ6MfeZQ%2Bzl9nT7G32uPb6c9r7OQOifWJ5yckMxaYTiFXELGIXz55YZnM0DMPoBRg3btw7oV9EuAqGGTF37R%2Fr2pT19jqglk99%2BaoOJ%2FNSVkm9kHaECKzbNzU1rQ27TwkFpmEYPQQ5JTt7mL3MnmZvs8e11%2Bdp7%2Bf0wfaJ5RV6nlFs2p9YRcwidvEOiGW2SMMwjF6AyZMn98epxxrY3Nw8Mhz%2BVhFgv63g%2Bkhyn3RRuicEVhSNn0pZv%2FQvY30%2BnvfkeO7vbmhoaJRwmGEYPQTsWfYue5i9zJ5mb6dsbu8p7flcM8q30OXP7xGTLiRGEauIWcQuYhixzBZpGIbRO9D3P%2F%2F5T59p06b1Hzly5OCampr1CbDx%2Bamx7o01Ky0vHOYgWX7PNBSYDMbvGwF2N5hmGhsb16irq3tXcs%2B0YfQU9GHPsnfFFrWbKNnP1B73zF5xN8%2BLFYuISacSo4hVxCxiFzGMWGaTNAzD6CUBlv%2FBuU%2BaNKlKA50fS5ko4w2xHlWQXZAsyljEos0Dtpnr4lmfGEH2e7F2Rt24trZ2sM3RMHoO2LPsXfYwe5k9zd7WHp9nf1eI6OICxaBHFZMQXfwYsYqYpcQkubBjGIbRC7HRRhutVlVVNSKc%2FnaqAMLadYeCQn6D4oBZ3lqYsiHZ%2B2JdHUH2OIm1UXmttxUaRs8Be1Z79%2F%2FYy%2Bxp7e3ntNft88pv5ZqlGEQsQitqX2IUsYqYZSs0DKO3o89brEpBv5qamqZw%2Fu8rEWW8PNbdsZ5OFhErYtGDDlc%2Fg520KFwaz%2FlnDNIOHjx4pIOtYfScYg57lr3LHmYva08%2Foz2%2B1P6uENHFpxWDLi8RXXwfsSqZ4dAwjN6YjOQD4Y2NjTXwpA8KcFXP4ns%2BE0UhTEq9vac1F2Vc36KMndqmsETPkoFZaDGPjef%2B6Xjm62BzohXun9xDbRjdDezJ%2FuxR9ip7lr3LHtZefkp7O2foss%2FrHNHF9S26aBhGrwS9qiQmBBmoIMPZjQvHN5GAo%2FXuSFLGVldXD4PHPv6RXl%2FVZsCT3zl%2B963jeXw2vk6Lj89NmfDVLAfMQgY8c%2B2Tl2I9EOvseNbfhO2noaFhTCTDdSTLSlAMw%2Bg%2B6M%2FeZI%2ByV9mz7F32sPbyS6lN08QEIuWvWYo95xKLFJO2JkaJQMQwDKN3AZYPUeiOigRkQynNwlO%2FU6wdJUq4FQOPJCjxj1QC1WsrNSac%2FfF7fyCew5dTVhW8OVmUsUhqYaqq9KQ%2FFuvqsLUDxfYzqb6%2BfhyHn%2Fh8de9Sw%2BhWWJ29yR5lr7Jn2bspmzV5THs6Zza0ryxGdJHYcyyxiJhEbCJGVUg8NgyjlyOfH%2BlHrzAsH9AQwpNeW1v73nB8H461RwSbveBQj%2FUtKdB%2BMr5uGz9bixav1MuvkREVoyI1atSo5sbGRlhodoqP6ae%2BKtaTya0KRSYor8R6PtZtsU6JZ%2F2dWLugMo1dxgFoQHLbgmF0mxjCnmRvSgl%2BF%2FYse1d7%2BHntaScmxbXAPqnY8zNiETGJ2ESMqjDR2j7JM7GG0Ss2cl%2FmSXBgzIyQWGieolGMVOM0W7FVrKnx52%2FE%2BjkCWvHnYxm8i%2B9%2FAT1kfP%2FxSGDeE98PrQBn0C8XZYznNoLBQ55NytoW%2Fp4yesylChwOwOUnKbNjPRjrMtneXhqwnShqYc%2BdGEb3QF%2F2JHtTe3QvCS5epj082z6xEJ%2F4qmLMPMUc2l6%2FQSwiJuWii6n3D8Nz1liNNkLOHtXV1c1xdhnO17C9Bs4znGv4eYkIZV8nLIbRjTFt2rS%2B%2BSG7vr6%2BiR5VCQxuAQ2hBr4%2Fzw1J%2FHWu5U9KGXUuh8SrY10ZPztP7CBfjT9vSWJTARu%2F79SpU%2FtNmTLlnRJlXC%2Bew2fi8%2BNj%2FSllzClzYi1KvkUpYs1XdfD2eM7nh50dwg1efL8pAQg79m42jO4RU3Qo3JQ9yl5lz7J3tYfn258VcluySDHmacWc44lBxCJiErGJGNXbCzfYGzd1MMJRHKWDg7NLPIf3h%2B1tLlKANZmXJWluaWmp0nMxDKO7Ys8991xt0003HThixIhh9KgyRBfro%2FStxvpB%2FJVDU3Ydf0Gs36XsWv6vKRtq%2FLsqYbfH370o%2FrmfhhOYUlVV1VIBmx%2B1%2BNZbJ26cuGGKZ%2FCR%2BHz%2FlNEK31%2BSoJgqs%2FzF8GzO4%2F9nqoTYZwSbD5rH3zC6D3IdKPamYsjZ2rO5DtQS%2B7NCqNbzxOR%2BxZz9iUHEImISsUlFm15dKOT3bGxsJBneWPOI%2B8TXn0i498ucZ0hYIknZgLnZddddtzVxKxGlNAxjVR%2Bo80UA4ZpzwoQJQ%2BkNbmhoWD%2BCyf%2BD5YOAEuvI%2BHvnpIwel2Tk4ZTx0jN4hwotbCuzFWyeiHVLrKNo7cI5iua1Ep5nXwXj4arYfCue3anx%2BfWx%2FhZrerLIWJGVQmyOgdobYx0Rz%2FwT8bwnTJw4cYAVkA1jlfrCVmZH9iJ7kr3JHtVefUx71zfJxYnUTleMuZ6Yo%2FnPbYlFKtb05sRkmb3F71oNIxzzsPH7%2Fzi%2Bnh7r4vj%2B7FhHxfffV%2FfHDk1NTRvH3x07bty4euxUbW%2F9k2dTDKNLsdw8iehv6QVu0DzJmlQTmCeh4iJBwWnx%2FcmxLlO162ElIwQVaB%2FzIeV8mJHP4FjnJuU38c99CUavlpaWISUbv9frnsTvXUflBi5%2FMUqR2N2moPyyg2kh1MKvq2L4kqqFZ8Rz%2FhpsQFzZE2xSprPjK3vD6Fqw597BHmQviqHra%2BxR7dWXtHfzfWyfVt56WbHlNmINMUexZ2NiUQUcsjlTrEaLFrcmmnUlATkhvt4Uz%2BSe%2BPrnWJfHZyfF2j%2FW1yme0u4FuY%2FmFceosFifz6ZwVuLsUpLgGYZRJLjS5QZjzJgxtVAKshHpRyVwcOWueRL69r8Za7%2BUUeFyqP59rLtS2zX827UlLdHfvSj%2B%2F75L9YZKBgmKhBl7vQ4F%2Bi5UCzWnw%2BzN4altAHSOg2khA6D510Wytytj7ce1PcGJIVC0eCqMncYwVjnYc%2Bw99qD6%2Fj%2FK3tQefVR79o0V9rJXx9ec1EYQcrgYM7cjBklrrLdjNeZMmpqa6uvq6sarhfB7mm2iUPq07O7uWNfF4nPmZQ%2FmJiWe11fi736KoqykACZpNmVc%2FP8NY2aHs4tnUwyjE0DmT2IyfPjwltjEExlWF63jl9ig8VcOiXVyygbcr0kZTzotXP%2FU5iYxWbgSla5X9fd%2Fp1uDj3N9Gmt0yQ1KrwYtckOGDGkJx0YFZycRCDCrwxDoTAfTQhc0pM%2BlrJWQqtje6O1wKGLeSQmxYRhdBPYce08VbLSv9tZh8Bbt1VfstwpdMxVbTlEr8U7EHmKQhGl7NSi66rZjTTFlfhrW0JTNxT6m5G2WziWcZxCovE2F10tjnRnruFgHUlCN9UXNpiDwu378%2F4%2Bm5X3y5MnW0DKMMrEcpzebl8SABKG%2Bvn6DcFjvV6WAjXhErN%2FG37s21p0lycgMbWjatGBUWZza%2BOjfruWG%2FtdbY52Q07zSMsYVfyU4SxIwqi04tXjmm2gW4mBVbZjVec0BtbD1moIz7SKXxHM%2BTJVDxEDfTQU3uXfYMLos9rDn2Hvag9wcH8be1B6daf9XuP8jplxHjCHWEHOIPcSgSigG5uxc6OiIwGef%2BJhZzz8pGV6i88sCnWc417ygnzEjC5kPbeswjp4J1bVmUz4HqQ%2FPM%2F4da9IyVnKDYt0Uw1jJZKTfm8yT1MPvnVMCa55kZ25LYLBQT%2BalqiI8pKRiQWqbJ8lXe1tuZqk6cZ50UPaQkvw4iTL2anBLxWAe1ZZICseJxvC7KWM5%2B5eSvaUlz9lBtrwWL3quuba%2FlcFH9Vx%2FFvpSUVn3dxAxjC4piPVnz7H3tAe5PT9bxapHtVft88r3ea8phsxXTLmAGEOsIeYQe4hBlcBc%2BCZt1CTDnGto6XppBXt7Y4X1qmzyOSUpt8Q%2Ff4lmU2gT%2FhoJnwiCmOEZTyIk3ZR6zlmlsykluimGYQASkxJ9EuZJ1lXv5PvVvkUV4JsMucc6Jv6Rs1J27ck8ycOqJBTFJEV14t8pYw5BxfuHzLQw4yKRvN6O1kRxvfXWq1ljjTWY73kvV8Upa5u7Q45wrqo5riKWv3iOM5Rg%2FzGeNWQM36X3eNCgQaO4OWTmSgxeTlAMo%2BDEhL2VzzWy59T3z838b9iT2psztFfts8q%2FLVmsGPKcYgrENV8k1hBziD2at%2Bv1cxIMr9NCGF93VzGUThBaCB9LK6ej84aKstN1bvlLyroczlUB9yAJSzObsruYwLZV8Wtdir91dXXNtM2ToJiW2DAEgsL48ePfRdsU%2BiT0XTLchbMSvzctRSembMD9qpTNk9ytgPFUyq7a56fiaB3Z6M%2FGuhdhRpIh2L9IlsQe0uuDNVe%2FBAdusai2kJzF57yHq1NG%2Bfisgot1T4qZO3lZh59%2FKrAcyrwT7SUk7Wj4VALPv2GsCn%2FH3mKPsdfYc%2By9lOliXac9OUN71PMmxeiazFUM%2BZtiysEitRlPzCH2lLQf9Wpwg8EMLQxcsIumTPLg77K5Re2MIS%2FqTITNMnN7q4q4F8U6PWVEQQfQOgYjmJhNt2psbFyHed481tglGBUZCEoX14hsCJhRGN6CbSI26Se1eeidzG9I7tCGfUIVAhKSOWn5eZKi2ozo8eQ69fFYd6Iaz%2B0JV6PV1dXDKsBh5u%2BnNUGBqlksIPuoknhTSSVxUXKwLYJa%2BBU9S%2ByalsLfRND4v7C9zRAVraRKomF0MZbdFLPX2HPsPfag9mJOP78yM4teb78Wpbab4pt0U7wPMYZYU%2BLnKuGmuA%2F0v5pv%2BlnK2rnuU%2BI2byWLf6Vtcot0JspnU3jOzODSXUKbGHMszKacEevQWN9hAJ%2Bbwvr6%2Bg0RdmS%2Bl5a6N3kPLowZve6g2%2Br84fFecZ5k0KBBo%2BP70tsS5kl%2BHBvmeHontZlwYnkr0ZLU8XmS9lSyFygo%2FVuVDCrZuzJ3wu9RAcJQy96fmEQ2kajlwSRrKRvAezxZ96QzWry4zr9cysAfpqo1atSo5ryiaJdiGMUhvyFmj7HX1Pbyk5QplT%2BW3MrVGbomxI4%2Fq%2FB3sOZ7GAivr5DiXz%2FOEJwlYOnSTR1i0TerADtHdtfRbpDSMxLnGVreZyvp%2BUesW%2BLfe2H8e4%2BL9VNavsTwtTXabtxgcTajGEu3CGc29ohnU4xeBQwZRgoJDK0RG2Ad%2Bh3peyQhie8%2FE%2BsbqhwcHYueS%2BiA6Z18JGXzJPmge1f1xObDetP130FP7BfYuLFB62DtqpRKdsnAHtWdvbjRUuD%2BW7LuSWfcomBz9Bwfp9uT7Tg0MY8Vn1XZoxhGoahib7HHNJTMrclx2oPTk29LOkPXhNhxObFEjJgfqiBdk34c8HNtkzgTbURRNj4%2FLS1%2FU%2Fdqwbb3qs5RM1R0vUPnrLNl7%2Ftzk6IC8SeUpG%2BjpHGd2B9rsE%2BYTcnnIO06jB6NSZMmVTHk1tzc%2FO4w%2BC3gjocBS21CB6VsnoQNckXKWobuUnafz5MsSF3b6%2Fu6ZhRTEwAAgABJREFUEhRuaebpv4UKz3ckyjg2T1AqgU2Eagmc8%2BL9t%2B5J5zPZ5KrxF8fzPiTWl9VWtxbVK3sUwygOmqtbS3vsy%2Bw59l5qU4M3O1cn65oQW4gxlaDrxJkhL9ZC8Su7%2B1786MKUMZfl553XC7a9%2FBaFoiuzKU%2FqbHO3EvF8NoV2xqNiTZOo9Wd1ZtuCmWBa8CM5sUCw0aOQ9yX2zQeqYw3I5DKa1iYLj7WbHBL9jmdqQ6BPwjwJV%2BjPps6dJ2nPlWh%2Bg8Imvib%2Buw%2BI%2F%2F6pEczeCw97pYgy5ron6MwgSMkVtJJK6550ju3N017IqYUPoC9YVJB1yb2%2FhlFYzGJPsbe0xw4ooQ5%2BTHvRyUnn6JocVCpyXCm6Jtw6DB8%2BfGhDQ8OYSFDoINlNpD%2B%2FU0G2NDEpOjl5LbXNN87XOYvz1gydvbD5B5SsXCa20oOVpOwe%2F80fYDaFWxR%2BB36X9N%2BaKY5PRrdIRvpSCcBIqQZIwIp5kmGaJ0HMarNYO9AWFWtf2K%2Fod1QAoFIwXUEg77F8oxsFhDe0cW%2BFlg%2FecISNYpOuF0nKsEqo9NCWR2%2Fs2muvPWTEiBFj1Y73nfjR%2BSljBcl1T151IC9kLdSeIGG%2FMZ71r3neEDLAUb9Cz68DgWF0IG6JjOWd7Cn2llpafs2e096bnoqjp6%2F0gsurqa1Vmphxft6JQEwhthBj5Nd6Nei4gJmUQz6tU7S0i6WL%2BdoXVkERNl%2BvpzYmNZIkBvOvZy6IM1v8N%2F6Im8VcfZ4Wd2ZwGeivqalpIsnn%2FKfb%2FaoVBuoNo2vBDQkHdNqc4IcPo52oHsVt1QL0KQkBMWDIwNcZKaMDpt8RBokXlcV3575eBsnuxaHG77O%2FRBknszErpM2mXy7MqB5Z2rs%2BH5%2BflLLr%2BWdVgcn7ZB2Qi6fa%2FIWohddmOHEFUgbDMFYeffNhZJGzrK2B5F8kU6V3xnpVsWGOnisx4yRiCLGEmFIiuNjrZzgRPVyhjZBbk7yNcHbqHrdbFIufUZL%2BJ53ZzlRh%2Beexvo3UA50kFGsZpOf2kfMfc8UNDQ2NnI0qoe3d6IZArGfy5Mmro%2BZaX18%2FTqq622vAnbmEA2Idn9rmSahI5S1cMFLk8yTd%2FUA7T4nUDbEhT6WCEJvwY6jWV4goY6vuSd4ri2NFGDM%2BPzDWlSm7Bn5awcfBvFiRsudTRshwGoO69P02NzePpOeXw1XK1OMNw1h5tN4Es4fYS%2BwpDcGfpr32fLLIbNHFljmKEQ8oZhwoceW1iCnElkrRNUF0kVsH2rkgAYLWN2UsXY%2Bm7sN%2BuUR7gNvDx3Vmu0v%2FnSTwdE2cGusIfof4nfbWuY8Omc2ZL4b9DnpuD84bXXJI1Wq9Dkc4kUH3yJDXkoOHavcbsXA8p6W2G5J%2FKBmBDvgFVQdW1TxJWaKM%2FE7xex6bHxTja0OqHN2TvtI9aYnE7P2aHcJBXa9qo9sgiu0NXirbg7HuMlEL74QeUByuhsOa4qFEw2gf2DPsHfYQe4k9pZv9y7TXFmjvdfe41NPaVIkR1xMziB3EEGKJfFjfVCG6JvF7NyJ8KJYyug%2BY3XxQSXF3iJ%2BlbXgLlTDNVjGZ9%2Fhkytrx71Gycpne6YFiXf0E88WNjY3r5nGKInbJzZhnU4yyD6T9Vpwnoa%2BQeRJRAre2cCHgwzBh%2FOy7sY6Mz1Fyz%2Ft2n09tMwk4%2B84Y9OoK7QkEjRgW4%2BYH5q4fQX9Iv3KliUaJ9%2Fy9HiDtskAxXUGApHhP%2BuNzauFKmHkyjCLBnsmpg9lL7KmUKWffrL1m%2F9UFBB%2FEkAoh%2BOij5KuVJIhZXG4Y0BdJWTvXX3XgJwFY0k3f4Yq6KbkOHEVn2tFu4NzH%2BQ%2FBas0XtzJ8RTK2Hi3wnJXQtstnUzhTcoPJM7FuitEukJhwLQcrA%2FRxDLfjUMiKMTyU3HWD8MP464fFYpiQ9q3bUiac2Fsq6Tn9Hrc%2BD%2Bum4HCxVk3IxfEq5Vo675nNA3t8T682gpkPpO7RM9sbdQEIABfqVvILzHRV0MyTYRQG9gx7R3ORX2BPpYzG9f5k3abOmtkkNlxCrMgLLMQQYkkFmFwreyndJrEGqqi7e8pmcG9S4rYqJBOKnI38h859nP%2FOSBkVMe1e32S2iDZ4zaZsha4LZ0nU6Jk3ogOHZ8OYgL2T8bbQjAFqoPVQ3kGfy02BquV7x1%2FZL9YxsaADRpDvhpS1cD2ozQbDFdeBvWFAOtc8yfnBqXScxjAbQ2C0tpHEVYooI5XHsIdmWiKYMeJ6OmVaNbcpgXNALr6tkL7f21R53B%2BiCZw8%2Fcv2Voax8mDPaO98ir2km9%2FbtMcW2N8Uvl7Q8z1RrUzbEzuIIRVy89svb4NnDkMC1F9JmZ4IreKz0vKthD1JMDjXgpuhcx%2Bte3cq6WI25YKUzaYgtvkTvf9PkqhAoxw2MJ5nQtJWCUxtRsewrA%2BQQzbGgtFgPOFIJsVBfGfR6B4Q3%2F8qZf25t8kYudp7Xgf32UpKFqXe07e7Ij84tycXIZwE40ZLS8s4SAFKGEd6NfKe7eHDh7fU19dvwGAjDB4pU5t9KpmxqzPaCtlbqPrewgAlAqb0bNNiqRs7wzBWoujGnmHvSASYKu8t2lsvaq%2FZ5xTL1EVMQCfs58QKYgaxo1Jm5vIOlLFjxzZwnornsF08hx%2BkrNvg0dQmoVC06GJnn4leT28%2Bm%2FKizoNP66x0r5IVbv5PjLWfGFx3jeexNbMpEFOU6NxYN6XCE5Hl5kkGDx5cSy8gfNXSJ5ko9q3tlOlCHXe4qkx%2FSBkH9tPKmku1SXraPElHNiWD%2FX9ASZjhr6ampk0QZawUEalcH4DgIrabLRmESxkrG8nqXFVUcofrIF1MWyHVKdolEes6FBrHvK1Qdue%2BXcP4b7AnWn2W1OAnsHfYQ9pLD2lvzU89q62mO1fUX01tjE%2FEhLOl57ElMYPYUaLX1KtRIro4Ntbm3NjJ9q7XWaK3nJdW1EzJWSdfStmtJEr01yK%2BzVlSM8p7aDZlS7GfjlXxoDE%2BG8q5lPMpz3CFgXqjNx8wEQNCn4R5Ehy25km2ljDQ7iXzJGwkruYuTdngM87mGWXKlXj4pD%2BUFrZTxVi1UwS99wwZMqSlQq6pW3top0yZ8s6WlpYhGnj7dMra%2FG5O2U3aLFVTfItSXFvhy%2BlNqIXZv7wH2Z6vxg1jefRnb2iPjHgL6uCXtcdMHVzMbclCxYAnFBPQx%2Fg0sYL3QOzQjW%2BvL6bonDWiqalpY9En75Oy%2Bdw79YwqwR6Y5XoyZXNd2AOdN4gLQ0X8U0YFpB%2F3UQiWSFakpzaBQXrOqTxHt35VACZNmlTFMBL6JJonyW9IoIKblrKBptNTdvVIho9wEkNt9BVOT5UtUDVHCdpluk36qq5q2Ui1FWA%2BfeAux1EQ9Kl2UP0Q%2BwiDpXfJTmal7sk%2B0pMrkdxUorB8Kc%2BbYCchs9HS3HmnvZthLId3sje0Rzjw7CJfdan20rzkm96iNTJydktiwYXyVTsSK4gZxA7pX%2FT6KjhnAgbAmbOI9XUO5CkbHP97qgwChjd0g0LLFzdFj%2BosSYEXVld0b2B4PTnWYdKRY4Rgd51LN4lz6pqRnDRwbrU762WHyXxRrSADhUpx6NChExoaGrYIY%2FgIlST1hP5KCckfU9a69WhaXp%2FkZVVFKpkH%2FmU5XgaUzxG%2FN0QBG1cINWJuU61Ky1zDirf9q2jAyNlAGsDt2oJkas6i%2Bntz7ROeKz28x8mJb19TU7NB7Ofh7O3ka2%2FDWOan2BPsDfaICDy%2Bxt7RHnom%2FTfNvX1Oeb5qgZ4rMeBK6YIRG7YiVqg9p2%2BF%2BKlW6n0O2LE%2BG98fFF%2FPS5nq%2BuOp%2B4gudlVxbaGKAaWzKdyuwfb1FxXCmU05gSI551JuU7hJ4bw6evTopokTJw4oYUetFH2cXoPWHlv69HDMmicZSh9fVVUV19rjtVm2E2MJrUmHxvptyuZJ7tXGmaWMt1LmScoSlYKaElGpSnO%2BsN8Q%2BKELFMc5Ce7vVZWcY5spPPjP0h69QNTCX9SA73j445PnTgxjWSyUPtd47ZEvijr4gtTGlGT%2FVKx%2FmiPf%2F3tiATGB2KDkcEilFe9KRIuZ2%2F21bgv%2BoTPEogq1kdK1VEkac1%2BIoOazKWfoXLqP1OeniOlsIjp7eq7LZlM463o2pZuD61LEbUp6bMdznU3lQlzTn5A%2BxQ%2BkUXGKbktu0YH7aTmYpXa2b8nvPUfPietJrmhhMdsZ%2FvxKu7ZmYC3sa4wG4z%2Btlomz5WRmOvgXvhjc5eYO5q7fcuNJS2Yuaia7MwzHwtgLJaKxn1R3wG8V6x7TXrJPKfbgOVO%2B%2F2zNE3xaMwRjiBWVkJiUtj1zJuBsEJ%2BTFNNVgNwCN0uV3Br%2FZrcrJGoMzz%2Bpc9UfdS5lNuzwknavz6idmdmU91VXV28ozZwWzrwwo1UCa2qPBC%2BGl4Q%2BCXzuEsvbjX7H%2BPqzlM2TwLF9kSrcf07ZoNKjqW2eZHFy%2F%2B3%2FGvBapATlWT2%2FE2KDfA7GCZ59OKbVK0j1dHXml%2Brq6tYSocIe8Rl9tWjf0BLoIdPOoxa%2BOZ736Tm1cFVV1XAPDRpGBvYCe6KEOpg5ypuTqYM7k7zjOfn%2BIzTkvDWxgRhBrKgAs2tNTDgDiDBmfc4GKdMCu11nhjk6Q5gw5r%2FPVflsyiM6l%2FLMaPdCT4%2FZlJNi%2FUI3cl9BDBtJB0iJRo4cOQZtPmQdXKTrBll6KpknKaWti2RkM82T7En%2FXnx%2FcqxL5ZzvlYOm%2Bv%2BCMlZ6AWlZ8nDg21eHcn5vKm9QUZ4rNdSKo0okGaZCBKMGQUgVje%2FHjy6Wg1lkmymcWjhnw4FHnlbMw9RWtxaVoxX8g2FUWkxsBXuBPcHeYI9orzyc2tgETR1c7Fokn38xMYBYQEwQK2hF6IC9BdX%2BNzkj6KwwP1X2zO7bacmVzqa8pPMpCR2zKbQL3qWi%2Brmxr4%2BJ9eN4xl%2BCcKGxsXGzsLNWYcf8DJasmdK1WTkP%2FU3mSVq4QuSai0qRbks4MB9C%2F178mRd6n14yV68LZAyeJymvUkSChwAhLQM7IzLV0tIyHCHLShCZKq0UUR3jto7e7pS1C94t57JItuaEt5gr8JxeeKYKDb8RqQWqu80ajMf2LNBoVBqw%2BXewB9gL6lOHOjhX5J6Z2miD7Y%2BK8Ue5QPEL8vmnEAOIBcSESuokyEWsOQNIpJiWrlyk%2BOnkToL2zqa8XpK4cGZ9UQUGblSuiOd7mogG9i5h%2BNos9vw6zKaIsKeBeac3mU3x7UpR4KqKBws1Igwk%2BTwJvXfx8D%2Bk6ukXEbiJv35wLIaTad%2Bif8%2B9jp2z2Cy3xTpBtMIfQvWUwBifVQL1XZ%2F%2F%2FOc%2FfS688MJ%2BJZXKj8r%2BcMhQJtIu%2BLIrlYU57fxQsFCVystp2SQQMnhKKwuOuEKSY8NY7nCI7bMH8sOh2pkv115ZWJKUuCBXzE3uy%2FLxf5fPP1gsS603ucQGYkSFVK6rVCBaV2eyr3I20BnhRdtLoVTV96SshRAJAzqD8navr2nWiXj4gfi6OXGxdDaFuWy3fhWIPffcczVdF47SDckHNOAOVd9PUtbrf5pe1u%2B0Ie6TU34%2Btal3u2JU3KJHkt7IC3P2JJi74vs1YyMMrBTbJPhwMIARTuwksMCdKueRJyhu8Sr%2BYMCV980EQObKYu2QJygVIgpqGMuAzWvOBHaoHbQnTtAeedYFkk5p5coTkxty9krNwI0gJigxqQgQ84n9nAFK2OEu1Dlstu2lkG6VvK2ZYvu%2F9WyhZ6Ztk9EFSC%2BOj%2Bd%2FMO2FGm2AMe79FPOZxyZBmTp1qot35VSlY%2FVjgzPkwwNFTArhRJTc6bUjKYkNcHzJDcl9emFPyWmUzpNwY5LPk7hqVMyap%2BTvJgYuqdLRUqcbraGpcvocW21VV6gbi6aaVrczdTB4RM%2FKdldsn%2B5M7Xn6vH%2Bh9q5WUVBRC7vP1qiYeCnq4AnsAfaCGCkv1h6ZmdzrX7QPyuMf5Bxnij0Q378xsSBVFq0ruiZDxY66m26zIWG4qST%2B2W6KaSOEzGKBCu75bMpzulGhS4i2r2vRoot1dLyHfdVVtCNtXwiQMwuFsGMJu2rf5Hj5P8Fmfie0e9KQaBo8eDCDVWtJT2JyrKmoudNrJ%2B5srlIRPXpCL2pFoUQ7487VPXlOtye%2Fi%2FdyopjRJlPBqzTdE81BTWAYEjYNZp6UON9bcjiw3RR7OIBpD2rhs8L29pco6CbMosXn%2FZOHAY3eXxhh9cfmpePFHtifPZEy6uBHXRzplCp2Pvd2Eb4eny9SlAnEglQ5uiat9qcZh8m6sYOh63c6Gzyns4LtpnN1U5YoYeF5M0B%2Fe9gisymnSDC7dTYFFlvNx67F%2BZpzNoklN1%2FqOHhH8kzK8kbOTIm42ceoT25L6ZNMVeb3nZRxZkOpxnXhjaoKPaWX4mvrru%2BB5Lr2yZT1QF4S72u%2FeE87VaLuyZu1VaSs5%2FZmOQzbZ%2FFtFQhYIex1I8UKaFNxvoMGDRqFP8H2Kqjn26iwmIlt5%2FOY2Dy2L%2BrgUtG7GcltpZ3RVvpcquy20mVsqcwxSPNrRxhSU6bTcY%2FOBrN1VrDddE3SvEC3KY%2BqcA8dMeKrJ8eiYPoDURFDHLUDOoDqdlmLBFOJtdu%2BcuBgydxk4JvHA9uVq2no0uLHv0zZPAlV6OtSNk%2BSUwLn3NlLXBlaJfzcC3VjRYJ4a6zjEAuqRN2TfCCVwbP6%2BvoNNZCKo75CjmJRiY3aVosdSH1IlbpD4X%2BP9W6YY5hVq5Tk2Ki85ATb5oYaW8fmsX32gPbCQ8mEHJ1ByPGGfDk%2B%2FQrJFcBWuSG%2Bv4IIOfqSmDC%2FEMnxIFiiaGuLz4%2FVWeCp1NbNYl2Tro2LJCj5bMq%2FdF7m3AxzbT6bciy2G2svzW9vG%2Be29UhQPLO5QnKCTomEe3bhliTWkfHA4Mi%2BQQ%2F3ET3sGXrwc%2FUSrE%2By6nogXy25TmQw8GyuDytR9ySVUHmKUW6SGEvOSNn1No56qZ6bbbVYKs8XVanLqYU3GzFixDAYc3RQMLWw0ev8DbaNjWProhHNqYPv0Z4wlXmx%2FuZ1%2BfCX5NORKvgqvh6fX2FU5q32F2sA9MEqKu8Vn9NO%2BLfURkLks9mq0U0pnU2ZpXMzxfzHdaPKIP0l8c6OjXf3vfAfn9QtylgRGrmglycnsbEZKN4UVVHYBkhM4ustuiGZmdrU261P0j1vUaiUXK3Wrl2gs4yEs4UEpUIqSa2bWexdA%2Bg9piKRMiY5WiwYWJudrJDbWerxPF%2BohX8CaUb4k3UQpaqrq3uXqYWN3gZsGtvGxrF1bF7MlZdrL1gFvvOUvB%2BTTz8CH4%2Bvx%2BeXsHP1qQT7Gz9%2BfG5%2F69LSFR9DXX1Vytq5HOO6r24Kgphoz9wR57Xz85mpnFCmgmamVi450WDO%2B9TOdVx8f3XKZkqet6PtEesFXR2eSAUlDH37hoaG9SOAVtw1Ia0W0ElqQPIH3CjF%2BnPKWgFmJffgdkZVkxYWihnHS3dnu%2FAp60aS3JQqQ3fHqCxUYdskJjlDV3x2nPbAdFerO01n4lH58rPx7fh4fH0lqMC%2Fmf0F1mbWicNtif3NsL10%2B8Xt34Nhw5fHOkJzU9vHe5xotsvl0ZqcxIPZWmxcJ8f3cDf%2FXYbuw1zP0T25WJn4nhrQHK9MvGJAL66ohbkJ3IPnQYUiZTR%2FVJUW2F4Krw7lrRaXiFr4K7K%2Ftagw28UavQnYtJgsEVv7stgBL05tLaTuLCh2LZDvvj2vNuPb8fH4enx%2BpdkfxDfxu28Tz%2BEL8f0BKRu8vlf2Z5vp3muOkpPLYh0uAUfEM9%2Ft5GR59IEKkZ43Vd1Piq8Mvz%2BgmxNT0fUsatffivf9k3FARJumrsKMvW%2F83oOpQqgasVc8A4gdLksZF7kPD51jf7Rb3KaW0IMgZ0B3oALtz%2Bjl8RKblq4S1MEHhM1zO3ur9oCpgzun%2BIHv5jD3y7w7AB%2BPr0%2BVRb%2F6v3RNHrb99Qh75haQ2bQLchFtxBpFMey2rlJjDwOvZ7BMtMG%2FjAUd3V0pm2WYb4PqEbonJJIPkliSYEr3ZCtuxSrNeaPXAykA2gMlJA%2BnpKz1LacWLp2hsg0VQy0MS9EfCZaiFv4gNKslxAxm7zJ6pE%2FBdrFhbBmNAt0MfqeEOphOg%2Bku5hXeq59TB9%2BGD9cz3wXfjo%2FH11eAT8kp2fGftC0Pl67JN6xr0iNtG8KMO2OdEbb8Q81ObR6xcrQ6DRwjc8OX8OL60AjzsGL9Kj6ntevfyQqjPYVjG9pKGNXuifd3cbzLn1JdIpBWYE%2Fu6iixosja0NAwSbzi6PRcpRumBSskKLah8hYsOjCTPKtD2rWxfiGaRPqiB8PHXyIOahg9Ca20wdKU4FZ2bVEHowTPfObfZPtztRfsE8o%2FwOWJyQL57Kvw4fhyfHquto2vr4QzGq1rOREDFXYolOPzn6eMnpZ2rieTdU16im1TxLg51jG0hdIeyvwQhWRTCa9g%2BNI5GUulnXYMaUScq6sn9zD2nAMivYyPxDu8Powe3Yld6U1F86TCbLo%2F1JIErwhkY1Rl2jtlHOMQPcxMbcxdHl4tJjlerMPZdN26niaqzy2ocMLHz%2BEuZerxhtGj%2FAm2iw1jy9i0huDRAPtLym6t52oPvGZ%2FUBhV%2FiL5anw27cp748vx6fh20QdXBFU%2ByXGsaphVJdy3R8qEhqGlfSqZjbInxUrYuq6JBbvqzjl5Eedws1uuALK1nP0hHlTrkF84gWOU3U13dbnbX3%2FnmhMkko%2FG%2B7tRvblTw%2BjXwqnl77qEcrFXVzoJWqg3l4hUfTI%2BOzrWH1PGN25nXjzHOwkybQXoIl0mauGdcL7w8VcQtbXRi4DNYrvYMLaMTYs6%2BDLZ%2BgLZ%2FmuOlYVTBz8un3209CDWwafj25WY9PqbWNoJ81gWyfEoFZG%2FGT86J2U31dY16VnMc%2FgMCAy%2BCUsuAqLQYauzwLpgpaCPFucbScoINDJKFLZpg3lCD%2FS15DaY7ijyQ2WJXtMnY%2F0zZfzZF2pQbscIpmMrMDlZzrFDNyk2jB%2FLKdyVfA3eFdfWx%2BbMcdCuUgDxtbXRU4t32LCoW%2FdMmRq3i3edd4CbLR%2BNr74A340Px5dXiLDwMnBoRfBz7NixDZGcvDuew5SI7T9Scvy4EmPbYM8QzZ6tm8BT4x1%2BHmV4zt607els5nmTFdAfB9zS0jKkqalptDPzbl1RWqgbkmeUjNytIHmNDt4nI8YY67MMWXFdWIFtXcsBwgdUnEX4gDDjpXpuzyQPEHYWVSIDmhfB3MVzj3ewbbyDNU0tbPQ0iLp1TWxYPuQgbDtljJZzvN87heDlGfnoS%2FHZPHd8OL68EovHeUth2OJ76YjQDOXv9Jx8JusZ57bZKvZzE3iE3uM43QIab4HWgb88QWE4HrX4%2BBwmiDtUmZ9XcoNig1s12Xfeg0u15K%2BxrlMCeazog7%2FFe0OxGA742traMVDTVeBA%2FHLgGYhaeAf1LR%2BlW8F%2FKPG2fRWvS4AT%2FlM863MIpNCuhj1uBPmG3a3Rk4DNynY%2FraFsfO6fZOPWTSp%2BzZVvvgpfjc%2FGd%2BPDK023CzDv1NTUVE%2BLdn19%2FVYqPB4WP%2Fp9yuZNTMLQc24CObflhEVTKpSwqF1YRpVIFsdwvChYD1Z2DkUoVKHQCr9iY%2BvSeZI35HxIDmkhgEHtzng3V0iT5meI3sX6qLRq1sHg4eKHZlE9%2FpXMkLSMWjgc%2FMY5tXB8fmrKhBlfSL4SL3otVhIN7%2F6taO%2FE%2Bi6sJNBgVppomtFzga1isxJc%2FC62nDJNk4dl44u93wuPey%2FIN5%2BaUwfjuyuIOng5lM4ESw%2Fj84jdxo%2BuSFlny0xV5l9JbXNPpsnvXjeBFPi5aS2Veti6urq6OXnOZOUPczwwbYLvxTpLVaJH7Iw7%2FWZkxXmSWUoKn1QlCWaYP4RhnxeGfXS8m%2B9L7G67cF4b4rzHjRs3UD257l0USLhLqYXjee2u1oxrdAu1aAXHbnssb72iQgaHjH%2BpwncY19jx3CfQJkOrQsoGWm2nRncs1rVqmoi6dQK2iw3Llv8l23axrvh5ykXyyddIzHX3UurgSmyB4eYElq6hQ4dOUAFyN0k%2BoN11narx%2F9Y5gUPwi6rUv6yDsVvyV%2B3iPeQi2WeFTe8f61MVKpJdHlAgpS1IGfrh6GboYPxU8jV2Z1LMLVRC8owCIE7nlpRx6Z8X62QogiXcs2d%2BWxKOa13IDEhMpk2bZh2J%2F8ZqVNxw8PF1TRLvsO9vx%2Bck3vfJmc9PbYw7tsfybXmpnmlOLfxrUQtvjq3m2ifJ1MJG90P%2FXNMEW8VmsV1sWLY83f6i0%2FzFi%2FLJHOK%2Bja%2FGZ8t3c2tScS0wJMnYIkxd0qNjfm93xTBuUEhSzk9ZqzKCoAj8PRjrMdnqHCV9Tk5W3QwmWkiXi0V1L1q64uu7K7FNsSwMCiA0BdsTGyC%2BP05V5oeSe%2FQ7uxUGh4K%2BDCKYaM0cp0z72ySLJCRSJ94cR0ULXl1dXTOMD6pGG%2F%2BNfjwbghu9u9XV1Rty45QyauEbdSv4oiuhhd4C5geOeUq0L6XPFiZAnj%2BBloAbn9tmjW57GORGWuyVP00Zkca%2FZNN5YuIDX3E3rS%2FKF%2BOToQ7%2BDL4Cn43vVnyrxBaYZYRFtBgiwsgMlAgaaFPeQwRGP4t1ZKzTOQinrP3wb6lNB8WzKatmzVRx%2Fzd0I8V7%2B1gk25vKvwywx20HuMoO419DYlNcIe4bH5%2BpB8yDdutLcfMkb6iqQZsAV7P02l4Rz%2FxXsG4h9oWYYqxtdKgeF1%2BHxZ8bGNREuAfH5TaZ%2FwmeSb8SlecxGrCEnpKK0x1KCmclty0Wad95gsJN4E0poxb%2BPyhBSaxhkjO1sNHdgE1im2iaiIIcH3ysbPiZtLymiWNhMYW5WfLBUOGfL9%2B8A74an12iAVGJ8a21zZD5UWyTmE93C%2B33nNPCl66LXgb6O7G%2BQLs3DGfxDM9OWRviX%2FVs87b8N95k2Q47LxYi0nqTWOf2CN%2BydazxJN3qHjBWFjwwDWBNzOkT4%2BOjVNF4NmX9izbo9vNcv9k8Cc%2BT4cq789sSzZPQU%2Fo55knCkDdCFXf48OFD1XPbZ4VltMPRk9hx8ySx0aPi6%2BV6%2Fk%2BrgmfbLtY5z9Jt4PncAuoGEL%2Bylq61bcNGt%2FEP2CS2KRv9PDabsraZe2TL9g%2FF%2Bof58r1344vlk7%2BsdroG%2B4c3TVb60MKdC4TSfhhnhPUoYoqi9uuxDohneHL83Yt1drtHZw0S7OlKVvLZlEXJQqJFF%2Bde1zOF1e9KdQ7sSBv%2BiBEjhtGGb1HidoIHRmsXypUYvBRxuda%2BQhn44tQmyGhDXnka4Fyf5N9yFFy7MtB2Ycr6Rg8rmSfhtmQyhsyge2CwDbkY5NTCJW2LVEXdttj5A4F%2FjGd%2BuhjmdqM1wQOBRnc7%2BGGTapvZTWK2tMn8UTb8svdzp1AH43uvwRerhXnHSqUObi9IUsaPH%2F8uDrwSadws1vaivv6Gzm7oe8FQiRbatbJnOmFg%2B3pchVJs223NxRE8LNUzxbbPhRI77HpLznPo1nAJUGmCokWgdSAwT1Bo7yITj8%2FPljHPS23sD05OVq6ndracAEnJ9arEnaDqxnckVEfFYzueN20vtHAxT4Ihc2PiYfdiwNV4VVVVi9gy6NndJz4%2BLWXtXTNtr53StvGCnPSN8bxPQ5NHrYrDTC1sdBdgi2qb3Ua6Uaep6vyQbNhtn53Tk4%2FvPQ1fjE%2FGN%2BOj3fa58gVlKvEQB8SxDSHtiTxDCWpvH18%2FLiHLb9EunrJOGFr1GaKHjRU2UNqP5ifPURVB8MCZb6F8BiQav6Kli3MdheaSVkWf6dpbPYrVLzd4huM1QIwoI0wQ09PyvNo2yDefJ3lNwewlVd14dleGkZ5KqwAMMPk8STiS98Tn49Eo%2BR%2FzJDbkAsDzxEE0NTWNhj8fxx0f54q7Tyvxti0Xm5wvkKP%2Bp57zIZA7kIBPmjTJfbdGtwCHBmwS28RGZav%2FlO0ucGW5U9Szn9ZzRuDy4%2FhkfDM%2B2iQv7TuvqSV%2FAIVlbgDjMNwo3bPxzKySrJTMpuxLC3msc5WAw%2FBFm%2FlcnVusm9Jxm15Ucu67IdbhnPUgMMKmdWPSN7lroOPgIZKJy6APKnHWL9pZL0tGMMYl6b%2FnSWjhgn3kXm1%2BBv2Oief4I%2FUyf6iuru49o0aNWiNnJFE27XmSzkXrzSDBr7GxcQ3a58R2gvIz7CZzSpyzq0jFVJJyh82%2BYL4HgbUvUd2j2hd%2FJkFxJclYFegr22vVk9CN6pdS1gZzt2x2kWzYxbhiNb1ymtVz8MFqZV4jry4nU413NFlZtjhTxDOtmTBhwlBaimgV12zKbjxzznW6IbxCtygP6NzylG5TZuo9zU9tsynWTfnfivBz9PwgI7hIBA%2Fbwbbmc11B%2BM9%2F%2FtMnsu8mDQdy5cpVoBVyl09OcmN8Ts%2BFZOS2lM2TXJSylqFfkpSI%2BWUqz5N5HgbZNthgg0FTpkx5J8%2FaFtc1hxGSbir2CHuFfW9QQi18k6odefLtW5Ri2bsIcNCxXkzljpYDKR83wRKYKlDHwFjlWA3bwwaxRWxSDJUXy1bnJ7NzFV1ZXiAf%2B6h8bit1ML4Yn4xvLqkuGwVgzz33XG3TTTcdOGrUqGZmU2gf19zlZ0lS1O5FDPyNzi3MptysBJ22Lwa7uUGcpzOP98JbK8I%2Fr5soFOFPjPPe12BUi6%2F1tsQCwfVgPOBNYI%2BKdUh8z1DV7TLW%2BXa0rZuVq%2Bn7dUPCgPtJsQ5cYZ7kQxioDsNrQlcJ00Y44dXdd9%2B1lSXmd%2FKKElet0FaSPKZMW%2BbPTr4LT05KE3n2CnNXR1KhRmiN1lEOh7pBMYyuRJUKcNjg%2B3VrcqRs9OkVDmI%2BkBWn6fWwfO25%2BF5RB4%2FFJ%2BObNWPpgl1B4HlSBGV4vqGhoREaYrXsb6LugR00m%2FIlzWHCUofGHbPGEMYwF%2FRPFWE587jF8c3XPCXdN8dzPCOe6TQRwLyHdn1bYoEHOQSpJMr4YRgHoPqLz69M2XXs7Apy2KUVYDbmIv3%2BXN8x6H5NPKNfc00qlgxuSCaTjIg2dSRBEI7y0nkS9x92vU1rtbZzMAArnnicMjdcVEyZD3oymVq4M1og8yHBs2FDonIXX7em15994X1gdKUvwOY0Z7K1bPFnOpDdJVs1dX7x1MH41jvxtfK5%2BN734YtTW3unW5uLjXmtHQP5bIr07Djb1XMuqaqqGsE%2B4LzCuQWxQHV6%2FBQh7vgZRVdYvh7Q%2B3spWTflzez7JT2jS8KmD5W2F0RHE8w%2BV7BRY8SaO4F3%2FBPQ3aZMhfROOe%2FXe6mR5fok9FguVEaM4c1QRe0R3ZbcEuviMMAT4vn8RI72w%2FHc3stgH8quG220UbWogPvZ6Xa%2F5FtCVjuVUAtfreT7peTe2qL31VxV4H4PD7%2Fosz%2FGwKaohX2LaHQV%2BmFzGhb%2BmPSl0Ib4vWx0rhOTwudNXpJvvbqEOngnfDC%2B2LGxy4t0rZ0EdG%2FQxZHPYqKvxqEaSmJ1gBwai5avy3XmuU9noGd1JmLWtnQ2pXSgvpLsmzMxnUWt7HMiftmE4rQU4W3fBaJKwnXjyaihREsZbzYsBM%2Bl3jskiKEtUVICQ9mjSkYYGmOehAo7m%2FUoVRe%2BRvIWTvYDBLvm5uZRtG3R62kT6r6gjQDHEQ5kUx1Qvhcf%2F1oOZnry3Eln9OQ%2Bq%2BDGAeU47Z2tqJya%2B93oKmBrog7eSjZ4nAoT98lGF3q%2FFt4GPV2%2BlS6D7%2BFz8b34YHyxrXLV7wnkC%2FLhebQ5Yn2Ecx%2BJZKyfp7bZlIt1FiJZYfj7Id2qvKgkpdJi5%2Bs6E7cydHETy%2FOLpGRNbqgkom0UiNXI%2BOhTRDVevNk%2FThm7wxO6WeitFKjzZGzou9wc65JYp4TB%2FSLW96Uy%2FvF4JlMwwpwSeOjQocOpAmGMHnTv3qC1jndFtUgJym7xMcx018rRLvGhotC1VBVp2Owgj7iUYUyGM%2BM9jKF6Z6s0uuggtjo2p8Hg%2FbBF2eQzstGl3q%2BFMxk9Kd96kBijNsX34oNNHbzqwXmFcwt0xOisMQfErZZi4zZq798dsej4%2Frspo%2BEnqYftEjZXOmogkpih5L6Sbk5elX1foTmqKXEWnJCzsSYTvhQO2ixWo08xjLYJBVKqTCnry%2F1HWr4vv6caYmm%2FZK7LwDUl8yT3x%2B%2F7B5jKSEpUPfhkbNr%2FJ5XrtejX1DxJHX2FVICsT9Jj0J93xS0Xt10Srto7tYmOzk1tfedu8SiGWnip9tizqqIiSPrZ2EPr0VbAbaMGYr13jKLRF9vCxrA1bA7bwwZli8%2FKNpcmUwcXGVtflS%2FFp56t%2BdWt8g6DknhprOL9kcdE5mKZySqdTZHII0r0G4vMJJ9NmUZre5yBYPq6JbUJO%2BbsXqXC3b01ji5SYnZuPI%2B9SOg4M4sWe7XkluXC0SfPqCdOnDhAhvmp%2BOj4lDE4PJ96nijjivMkL6dsuJ1%2BQeZJYBLhav%2BW2GyXx%2FoVlbX43b8S3%2B%2FM%2FA1XdaW0hyWHKd%2BU9DD7xrbj%2FfUnSIrBBPs%2BRk72SQXV3MH6wFEcexeFDXr7z9O8z2TmtGgr0BW4DytG4cUIbAsbw9bEVPRtbFC22BuKbd2tmrxEPvRJ%2BdRj8LH4WnwuvlcdBo6d3fP8t2wxO8scMppAI0aMGFsym0IL03djHQZLVcraI0n2mS96VOeq6Sr6ztU%2BW1Hssae2cuU2Dgsd7W0nQ40d9j2RM3NJ94ztu7OAYeaijPHHA2JdpUrIdB3wl%2FYgg1qsTcL142MpY1hgMzEMSS8lQ%2F9HqyLwDd2WfJCKQUNDw9jhw4cPnTp16jtsFb0HVIvCvkepTe9HOrBwTf24kle3eBXfOsnt5HXxvA%2BmXYCbWdo8IJJwm4fRGXsc21Ib52bYHLaXst75p5IpUjujlWu2fCi%2B9Ly85QVf6z3e88Bhm5bIdddddzBabRJ23Dre6y5Sn99H50PavUhULtH%2BQv8NZtN%2FKVmZqSRlaQ9OTnLdHpIuCAKgIIel66O0jIoIyehswOigAcJtw7l8S8qiaHs8lNqUdHvKoSjve%2Bf6EWFJ%2Bo1PFSsFDEJfUU8sMzZbq4VrApuRxIQrT92WGL0E3ICpPW%2BSnOxhKROkulMHlwU%2BbBTe4jUjeUDW6CK8DQHGjORWrqLXAvlOfOhFqqzjWyfha02A0XPPgnSNcANZMpuyntr%2Bt9UcV%2BtsSvx19hgFAPTfzlcB%2BG4d5mekNqHTnqrbM2uF5HtfKcK3WMOu69CX3kOo0bi2inVg%2FPkcZcTcPrzcDTPgFTm4MSboDBnmp3Xrhvgdzg6DOhzKPP1eUwheJCOaJ2lEn4R5EgabaAtAKCq5J77X2TdCSWEP6yBKxY1ZvHcE2SB%2FeDBVlq5PV1OLXhXP%2FRgVPXbkHZha1CgYuW7XOjo8fQubS1kHgKnDOyf2zpbvZEj4SHUh7CAfO8QxtGfuoyTdlNLZFMXOBgrY3Ioxj0tRFwZTFXp59%2FvTJh%2FrspQxn%2F5DRWJoiJeknqeZsiC1kbsQw45lBkeC20227y40Slgc6KXjRqGbHt5yocQV50mgt2M%2BJqcEpvf1svjvPzV%2BjwMY8udaMpKP9zU3N787vjZRZVPmW9p3afRi%2Byb5VGsXldVddUV9qhJwmNteSb1%2FsK%2BrRdkoFNzBMGVJZXVzOff%2B3ntGAYcpVn4zunl%2BM6oB3jtkgxZdLa4Y%2BLp85XPynadK92FXfCs%2B1roPvXKPtRJOkLhws8JcbrzncSr2fjjW52P9gHNjrLNSpj7%2FJ50fH5O9MPubz6YsSG2zKd2xcMDAPzPKN6IDI1mJT4i5dajtuwuBQym5Ft9V1%2BJwXnOlNbObGMzS1KZP8pgMn2t7%2BKdp3zoj1tEMucMagtBQrA81NTVtzKA7w14IJ%2FptVyRWl0Ndk0OMetKhFr5aie2CFRIUH0jKvxancPBvBSluMX%2FIfmS%2BjVtKgp0HZo2OHppEeNFXFKmjsS2JCZ8tm%2Fu3bHCx92NhAsY56yU%2B82p8qHzpMjIZfK3Ns3eDudx8xktip9vo3Phlzo5036RsNuVMnc3%2BoD15r%2Fbl00pUFqbu2fo1W8Xui%2BP3OYQ2NphckZSwInwXAwfPzAVD4fECtuBgHx8fpoP%2F893gwIZj5LYESsi%2Fq2qDqinzMVTK9g0D%2BioD7mTymid5LyxkCA%2FhNGFYcC9sxaI%2FN2Zwk2PjONOwlW%2FG579NWRsgCTizVa8mt4AUNVA4X4fDR%2BRHfkkbADe0sPnQQqn5LicnRruTE2wHGxIb30RpGf1StvZIqlzRuM5kL1okX4nP%2FC0%2BFF%2BKT8W3ap7MMbaXg70HlS4JCvpvYQdr1tTUrK%2Bb8fcj8MgZkjMZBQPkGuIfOznWBSkbLr9bCS621B0JaWaq8H2KWpI%2FAoPZkCFDWjwz2cXAydNjOGHChKHxEugp%2FKCqUCQAT3Sxg1%2BxP5F%2F9zxl22Sz1zMTE%2F99v%2BRKOb8h0dDW2lTRcn0S2tXyeZLUxkntw1Dloa%2Fe%2F%2BpqYaQ3%2BpMpU8X9Y2pj7lrkw0xhh5lXUtssGPv2DBUQNhsxYsSw9dZbr0YzXh4uNNqLftgONoQtyfd%2FNWW35%2FfL5rpz20hPLDYsSm0MXfhMuhQ%2BiS%2FFp6bsxsQzm5UTT1vpuzmsrzCbwiD9Goqxm4mSeHfNphxIy73OlX9O2S0K7V5558JradW3V7%2Bhgvz1EClBjx3J9%2BZQLFPAtyL8KjC2vJ9wjTXWaGQ4ngGglF3L%2FS0tL7rzRuqceZJX5ABXnCchOVp2W6J5Eob294LaLQxnC%2BZJCFIlwk%2BeJzHeFNg5hAgktGE%2FP1Y15y%2ByM1MLd047JgeaK%2BJ5%2F4SbzaamprURsqJwYFpGo73AZlR0asKWdFv%2Bk5TNST6erALfWdTBT8hXXoDvxIfiS92RUPFYTjclF0AeNWpU87Bhw8ZHArOZZlO%2BCOV02M5RKWu%2FhOHrrpRpEWFbdMbMUHFhnpKWJanzdVPytsXX9O%2FDh1wmhq4p8TtM4FxM940KakZXGlcuWjd%2B%2FPh3aTieyvIxSgqe7uTKct4G8kJJMsK8y40KOLTfHBv%2FTT%2FnKlnsW9tHYNqEwayxY8c2UEUzxZuxMuBWjaqOBmhpBblEThI7X%2BjDSOGOnzmxm9nD9CXD9MKhsqGhoTE%2Bq7JFGu1EFbaDDWFL2BS2JRubnjw3VvRaKN%2BIj7xEXQtfkA%2BtszkaK4KzGDO%2BkajUR5KyRpzTNpT6%2FFRmOBigj792SMqoiElUuE2h5YsbFW4%2FH1ayMlv215kdDaWiiwzsU5A%2FiwI49NgUvuP3GKjCt8%2BYqyDzbe0l5AVwLQctY3y0HxlkynpMn%2BrEyvIiZcz%2FlHFCA3lGynqIf6R2kE8hFKl5gY1JoPJ5kpIWEcN4WzDUxjyS6KW%2FHnZ1hJLgv8s5%2BUBS7KISxjDk%2BaKd%2FLz28TiUiW2RRnuAzWA72BC2hE2lTGvhXtma91yxa658I9TBR%2BAz8Z34UA8IG2%2BFvPUyn02BhjgSlA2Ya9aA%2Bc5SXf%2BaBJKZc6bt62IVpjl3UqzOh%2Bc7q0UzvzGha4duHZj%2BTtB%2F2zrcAtHOpRtCty2uwiSlv0QZOTzsDX91ytgWHtSLK6eyXEpJmFMDz1e1C27sP8a%2F83x46sms4%2FvPap4EFrG1UeesqqoavuI8SUnvutu4jLe1cfXJtsQhB2rAnTQcj53DKPKCK6%2BF35zMVSXsphJqxt1MzWh0ZP9iM9iOCBZ%2Bik1hW7Kxud6%2Fhe%2FfF%2BQbf4WvxGfiO0sGhL1%2FjTc7S7bOhuWzKSSyzKagMYeYoWZT6NLZVOe8T6NLB0MWezoWlMS0Ef5bZ8R5qU15vkjdlJyFDjtH6f46%2FTfswpmz5MbEBC7dwPnXwXalYXP0Qrh2Q3E9F2XsCAXhYiUiCPMwT%2FKcsuKHlKleE%2F%2Fe0zEKCWl9PL7fMjLuCfQWc62mYSRrJBhlATvKqRBpDcTWsPOU3dhh44tS5%2Fe5VlpbCPud6%2FrfxbM%2BkeprPPfJFBtKxE%2B9r423Oui06i1gK9gMtqMK%2FonYlGzrueS2zM6YA8UnXqWzwMfxmfhOfKgHhI2O7GPavpgdY46DeQ7OeYgckhDQ9kXRIezteIrVKZtNoc2f2zvmQZ7XGXLF2ZSOsm3mxC38f98R%2F%2B5zKY5zu0Oh3jGpG4EMFyV1mBZEB3d4ytq7HlRy0d4rMwIG9GxPpuyGhGw4nych8Tkh1oHKmvegpYxeP5jD6FlkUF%2B0o4ZRBFZ7C2phCCDuTW00pEtS9%2BRh76kDtez%2Fe2Jdih6RKCfH8S64Mje1sPFWh5pcBA5bwWZkO%2FulTEfhHtmWCS2KbXPJ6cDxiWe%2BBXWw26mNssD5DnuSsOPGJAWIHursua%2BoiPPZlCt0doTq94GU0YbnsymLOpicLND%2Fx73x70IR%2FphYX4EaOb7W%2Bw11I5S0vbxXfYHfTpmmyB2pfaKMbygrnSUjIvvlqo4BdxgbfsLQUT5PwsCUWrigJxydO0CzgRgFo7Vqg20xswRHu7R9jkyZTgLtIS8oOL%2Fiw0ohhBcLFUCYXYNk4zjaNulBhqIx9rh7eo23Qmtigo1Ad4%2FNYDspE3q7LbXNQ3b24GylrFdSG0HNw%2FKJR%2BIj8ZX4THynmPY8IGyUhbzogF0hBo7YoVp%2B34esBays8f3noCMW4yOEDJxHIbKB1jqfTcEHdISpL1eEv4H%2FX5joGNzHz8S%2Ff7DfUDdCiSjjmFiTxNx1aMrYFJ5Lb93qUqpNkg8YMejeqhQdL%2F7ieOnH8vJFK%2FdhcdRPJBnRrEsDBsHQI0I%2FnicxOqMSm9QPi43R%2Bwr7m2gOz1VV5hEl4laYLp4Nhev5c1SJ3Xp0hkElQ4eGsdzhBduQjYzGZnTTeU5qI7Eop63D67%2FbXGbKB96uNpcf4SPxlY7LRsGxuG8%2Bm8IcsTp3KEI0ciYMmxsb36%2Bnti%2FOjJ9F4w4dklhnpKzgTTcOwo4UwksFld9ON4XPX1KCc2H8%2Fx0U60tiAVzLhA%2FdDDnLAhS9kSSMp71LooyXygAWKUN9RV9xZlyNzZFTI4Ghfy9v4fp9%2FPNn0R7GLYzEm7aFCjL%2B%2F5vpO6QKIypg954bXeocSYhpI8QpwUYTCzu%2FSxXZ%2BclzJ0XfojylgLJ%2FPPtdGa4dNmzYCA6fGj40jGXIdROwEWyFSqoYuq6RLfm2pNh5k%2Fl6rnfhC%2BUT8Y2T8JWOzUYXJCzL6aaMHDlyMPufM2MkMFviA9DiizWN2ZSU6ZVxw0eL579lv8ymcPvHjQqF8oUrFDHymWgK6LDELlOEZ%2BYaDR8rwnc%2F9MMg0DxBSOdNFHhn6WXjxObpz8%2BkjAr47pQxp1ypytZJYj74nnQldiIDRjgxjKwJLmw%2FbmNVQtTCsIbsoGo%2ByvFXK7k2tXDxK2f%2FOZmreqphXKHHwTPizzD7A2M5YBPYhtq52KNfT1kPes6u5z1VPHUwvu9qfKG0xXbAR7qSbKwKcHvKeRRypJaWljUhZcjV5zWbklMRw7p5ns6fzKYwisCsNKQO02Xbi1PbDevrSmJIbA7TiMHm3NbQZmbCh%2B6H1h5fEhRYsqDx5aWlTJTxlpIXTWDgloTblL%2FGui5lQ0vHKKPdW1dwH9E8yWbxdV3o2RDRonXLbRxGdzj8iNpwIw3aMmMF3zrtXS%2F6sFL4mq2AQVX2MCpg9BbTazxkyJCBtkijFNiE%2BtA%2FqEFVBmTpN39AtuQ9Vex6Ub7vVHyhKskb4SNdPDBWBRAJp7uGBIWkAY07SJsUs7eEiphb%2BHw2Jf6Rn8RCv%2Bz0lAk8wjZLCyhFdDp8ckpiun%2BeUjJD6%2BJ2EDHlc1XWz%2Bt%2BaO0DTBocZh6kRJSRoMBgOyqaDylA3B4%2FvyJe7EnSMEABdGduSPLh9urq6maYD%2FJ5kvhnqkoG6nxNbKwykITTUoTDgwQi7PRjoha%2BVo7LQ%2FHFto28rALHbfGsmT05EMErmFqkOG1%2FYCyLRW9DbT8vue2y6GF4fN61etYfwyfiG912aaziM2nreZSZJ2ZT0LrTbEoTLVjcdnDepP2Qmz4xv36fAXr5DPT67pXfmKk4NFtJy1kS%2B944khJaF3PZChO0dGejYDCJ7BQlT2jW4gVeEH%2B%2BOta1JCUcMLj%2BxRAIIFDBhfFsQI8gNy%2B6HemzwjKMboE3Gbjdilu%2FlN0C5vTZixW4PXBb%2FmJmLRdevRGGFCq03K5SnU0ZPalnzyr7IJIXyNA1aWFGUf3g3Gher%2BIYNmRdk2IIK3ItsjnyeWfjA%2FGFJqwwurufKO30YRSB2RS0kNDlESPsARIUp7hOu9dflZQ8oKTlCGnrrbXCqIHjT3cGfaa0Y0lN%2B%2BtS5YXV4CDpFXxfwjlQvm0Zmec6UBFzBWd9EqMHYBlVKSx1MIOojfEoOTLaFnPtEw%2Fflr%2B4Uqf39xkdhBC%2FROdol3jua1r3xIeOFXRN1sQ24nNuM6%2FQgeLp1Nae4T1VPklFrmnyqHzeUfhAfKGpvo2eAtq%2FSC4QdoTMSbcoU3TrChXxT1M2m3JyyiQt0DY7OhcFhh3MrVw9CCU9%2Be8RxRpD7buoP38HfbY5joyrNQbdYVdR25Zh9JjDELbOTJSohfdNGakDg7f%2FVvA2tXAxIm%2BLlaAgfkV%2F%2B4lcw1v3xHiTYsEG2AY2Ilt5VonJIhcLCqMOflE%2BDl93Dr5P1MFj8IkuFhg9BSQXMMDSnsVIAUQOtIWKgvxDYvv7LPNrdAPhW%2FT52owduKDes7AayQbXZWifRPKxJgvOc3r9NE%2FSEC94CPMkODPPkxg9KTlJJXzr2HM4rC2kxXNYrItSxvqB0JOphYuZOyFBWarnCcvfebTtWPfEeAtdk2%2BljIXnIdnMUiUm3ovFUAfj2%2B7A18nn4fu2wBeqkuw2S6OnxPJlsymcRzWbgthyY5xXh3NuJRFhlgodv6ampo1z9lgRPtjGe1Ili5fNddkWW2zxLhbfaziuX%2FI8idGLnBvVEw3W7agDMyx1tB7R545gk%2BdOir1Fob2LAVx0Tz6a655QEPEAbuWhVNckDgwbluiaXCtbec37ptB5k5fk267STCmzPTviA6WQ7Zhu9PTC47JFss3IQfiZ%2Bvg6jLXWWmvVcdviYlgPA318XHVdeOGF%2FVjxZ197Gb0W9LkPHjx4ZATpTURP%2BN34%2BLSUCTXN8OGoU6hLaSc5id5f2kkaGhrWt%2B5JZUK6JtzSr48tMNCa2nRNTO1dfHEgF6E7DV%2BHz8P34QMtQmf01jPtlClT3vnBD36Q%2BcYBFNspwLulq4e%2BzHz5aRi9GVRuqRg2NTWNjiC9aQTrT8THB6Wscvtk8hBuZ%2BieMOR8CYKtkGvA%2BAdzinVPKg%2FSNVlLs4xfjnVwfHxxygSArWtSPDnFk%2FJtB%2BHr8Hn4Pnygby6N3goK7XvuuedqU6dOpSuIrx5D6KFY7mrMSYrRi9E%2Fby1pbm4eJWrhb8bn56aM%2FhZthby1yz3v5S%2BeJyxBt8RB9LfxrH8OUxBDjNY9qbw4g3YB4mqoP4sNEkadm2M9Ilvxnil%2FziRv6Zonn3YuPg5fh88raal0m4vRW8%2BzfUlIlJSY7MEwjO7vuNTK2J8gTe81VITx%2BbGxbksZjSkCTlQd3eJV%2FkKr4vmU0Qr%2FAT56aSxswwDjCgO5Ri8%2BLHAY5p1D6wn1Z9gClJ%2FXpexm7blkXZOiWrmWyoc9LZ92LD4OX4fPw%2FepAOk9ZxiGYRjdCVQPoSOEMjsC90%2Fiowtj3Z2yVgjrLBSzluhZclC6L9Zl3J6IqnycqUwrIjHpQwUThh3o6KWptV98fmnKVJ1RLZ8tW%2FGeKb%2BVa458GL7sQnwbPg5f51YuwzAMw%2BjG4FBcU1PTJGph%2Bt%2BP5PCsoM5heoEPO4WIwC3S4TOv5B4Xh6XPoJ00cuTIwQwvlly%2FG70LeXvFO6APRvB3hZvKPDGxrkkxa4H2GT7sMnyafNsW%2BDozFhmGYRhGNz840QPPIZlKfqzvDBgwgEPT1Snr1aYC6bmT8nvgOXRSFacH%2Fu%2BxzlZbz%2FuglN10000HllCXG70LrboEUHm2tLQMR9BXDF1nyRbmyTasa1LMXpsj33U1vgyfhm%2BTjxvqAoBhGIZhdG%2F0QcgJ4SYqi7DZxNcfxuenp0ytenrJockHp2JuUZ5MmebCz2jvaWxsXBcBWLjpJe5q9CLwTnm3o0ePbop3jb7Qh%2BPd%2FzR%2BdKVswbclxSQleRFgunzX6fgy%2BbQt8HH4uuTWScMwDMPo9lg9AnhDBPDxYu76bHx%2FaMoGdVFWXpwy5hsnKMUcotBduDnWMbSb1NTUvL%2BpqWliQ0NDIzMJNsfeBd5pJCUNqDTH%2FtoWdfL4%2BGjZwAzvicISk9flq%2FBZ1%2BHD8GX4NPm2BnydLdIwDMMwuj9Wq6%2BvH0DwrqurW0saHAgznp%2By9oi5sV4pSVB8ICpvzYr111jncHvC7AkHqHjuY1TZNXoRdDM5JvbUlmKM4tbkHNnALO%2BHQpKT1%2BWj5spnnY8Pw5fh0%2FBt%2BDh8nS3SMAzDMLo%2F%2BipoV7W0tAypqanZIAL7HvHnE2PdkTKK0wUK%2FqYWLqYn%2Fp%2BxrovD6knxrL8fh6ePxnNHMXxIcttJb0If3invlnfMu%2Badp%2BxW8p%2FJM11FUQe%2FIh%2F1nHzWifgwfBk%2BDd8mH%2Bd5E8MwDMPoSaA%2FHrpNUZ0eEB9dFetvKevjzrVPfCAqLzmZnzKGprviOf8Xm1B83s8isL0G%2FeKdNpay4fHOefeygflOTgqhDn5ZPgpfdRW%2BCx%2BGL%2FMcl2EYhmH0YHAo5jCl2ZOvSyTu9wr69Mcv8mGo7EVf%2FMyUKYL%2FOdY5DO7G895u8ODBI32Y6j1AYLOqqmoE7zbe8Q9S1s71Z737mbIF74ny1iL5JnzU7%2FFZ%2BC58GL7Mib5hGIZh9HCoDWWDCO5TI9D%2FKNZp8fENsR5OWYXSB6LyVt6CMlPP9A%2BxDovn%2FbF49mvGgba65EDlg1XPQ5880Z80aVIVQpvxbneNjw7Vu35Y7z5vlfSeKG%2B9rGd6A74Kn4XvwoepTdIwDMMwjJ58sBoyZMhAHai2FtvNtNQ2wMuhym0o5S2Gd6E8zW9QeK6nxqHqC3mPPIJ9Uox3j3zPQ18SE8T%2BENhk3iTe7efj81NK9tBi2cDr3g9lt0nmewiCiWnyWfiucfgyJ%2FiGYRiG0cMxbNiw6rq6umb0N8Tc9eWUUZ%2FeGOuZlPV4v5ZMLVxUSwpV3wslgDm5qalp9JgxY2pHjx69utWsex54ZwhqxhrY3Nw8Ui2S34ofXRDr38mtkUVRB78mX%2FSMfNPR%2BCp8Fr4LH4Yvs0UahmEYRg%2BHhuIHoVze0NBA1XenOGD9OH50Sax%2FpbbBeA4HrvyWL8r4dKzfxTqQdpQ4VL03DrWjeAdSjTd6EHhngwcPrmX%2FxLt8j1q69o91rd61RRfLv3nME5OX5ZMuwUfhq%2FBZPHv2j%2Be3DMMwDKN3oD%2FCcQT3IUOGtETAnxSB%2F%2F%2Fi81%2FHujtlw6fzSxIUH5jKO2jxPG%2BLddLAgQO%2FgYJ4dXX1hkOHDh3e2NhYY3PsWaBaHxgmaujtY%2B98LT4%2BIdatKWOUckJfPnXwUvmgGfJJv8ZH4avwWfguCZr65tEwDMMwegHo0e5P1REBucCECPwfj88OT9lAL60pLyYP9BaVnCDEd2%2FKWrsOivWlONh%2BAFVrKvDJPfM9au%2FwziA2kBr8F0TJjaDpPSmbj3ByUgyhxIvyRfikw%2FFR%2BCp8lm5M%2BnvvGIZhGEYvw9SpU%2FtVVVUN1%2BzJD%2BIAkFOhPqpDtalQy%2B%2Bfn6tDFmxDVIB%2FwkGL25P481AfsHpWcsI7K2G72zcWg%2FDXp6z9aG7ynFYRVNyz5IP%2BjE%2FCN%2BGj8FX4LJuhYRiGYfRicNgaOHDgJiguxzo0vr8wPr4zZSJyC3xYKnstTJmy9X2xro7D1nFqUXlffG1wctKzkhPeGaKL8fUrsY6Jz65M2c3Ys94vhawF8j134ovwSfgm%2BaihNkHDMAzD6OWgTYV2iQj%2BH4rD1l7x%2FS%2Fj4ytSJno214elsteSWHN04KJ%2FngPXjxDuoxIsSmGjB4B3pZvGD3JrkjKGLtTgn4w1W%2B%2FaNl%2FemivfcwW%2BCJ%2BEb8JHqQ3SMAzDMIzeDIayGTKtq6vbCDacOAh8Mz7%2BVcrau15IblMpgrFrsRKUx1NGi0oP%2Fa5xyB1jxqGeA94V7yze3UdTNqPFu3xM7zbXNrHNl9cG%2BYJ8z6%2FwRfgkfBM%2BygQShmEYhlEBQG9j%2BPDhQxsaGsZE8N8sDl67MbgdP7om1hMpqwbngnJOVDpOjcpzZGCawelTaFWpqalZL55%2FTinsAd%2FuiVYCCd4R74p3xrtLmehiPgS%2FJJl6u5yEJBcuXSKfcw0%2BCF%2BET8I34aPwVTZHwzAMw%2Bj9WK2%2Bvn5AHAIa4uu4OHy9f%2BDAgd9OmWr8gylrV0FY7hUfvjp8%2BMqTFPrp%2FxnrPIT7EPBD86S2tnawqVG7LVqpt3lHvKsS0cXz9C4XlOwLJ%2B8dS95fkY%2BZLZ9zDj4IX4RPkm8agK%2ByORqGYRhG70c%2F2lUI%2Fk1NTfVikdojPj8%2BZfocT5UkKG5bKS9JQb%2BByvBVcfjaL57zLvHcN0RpnMOvRRm7H3gnSkxG8q54Z7w73qHe5VInJWW3PeaJyVPyOcfjg%2FBF%2BCR8k9ofzdRlGIZhGBUA2lb6bbTRRqupQjw2DgYfiQMYqtcMxt%2BfMiaiuTqI%2BUDV8eSE1h%2BYu%2F4Y65gBAwbsyXB1Y2PjunV1dc0I%2FNkcuxd4J7wb3hHvinfGu9M7fE7v1MlJx9dS%2BZZn5WuuwPfgg%2FBF%2BCR8kxITtz0ahmEYRqUlKjU1NU1xANs6Dgh7l2g4%2FD1las2LfJgqO0FhRgGGp7PiOf84nvMnoRVm0BqBOZtg9wLvhHfDO%2BJd8c54d3qHM52YlL0WybfgY67H5%2BB78EH4IickhmEYhlHhoIWFdgqGUWNNi8PCmfHxzSljJXrZh6myF8xO%2F4h1TTzfY%2Bmtj2e8Y3y%2F9qCALbB7gXfCu%2BEd8a54Zykji%2FiH3qVturz1snzLzfgafA6%2BBx%2BEL7IFGoZhGEaFg0pxHMLGxQFhmzgsfCG%2BPzA%2BRpgREcHZPkyVveanTBfjjni2F8Qz%2FkWsz1lkrnuiRKT0c7wr3hnvTu9wvu257DVbvuVCfA0%2BB9%2BDD%2FJNomEYhmEYy%2FXYIxSImnnKhuNvSVn7hdtYym9jQcsBpqeb4jD2a1Xkt3EbS7dD3ua4jW64fs0707t7IbnNsYg2xxnyLcfja%2FA5nsEyDMMwDGMZcj0H2InigPCeEnaiK1MmIpiLzVn3pPwB4AdiXS7mrg8PGjRoVMroUvsqSXGisgoSEq2%2BDGLzTng32gOX652ZIKIYXZPF8ilX5ux1%2BBx8T4n%2Bj2EYhmEYFY7%2BVCxbWlqGNDU1jc6H41M2BMzB7KVYC5N1T4qgTn0yZVXjoyR%2BOQHaVA7F06ZN6%2BvkZNUkJzx73sHEiRMH8E54N7wjvasnk6m1i9A1WShfgk85Kx%2BCx%2Bfge3RrYt0fwzAMwzCyinGeoNTU1KwfB4fPxOfHlhzOXvLhrLDDGf32v45D8Jdqa2vfE8%2B9btKkSVWTJ0%2FmYNbX5tj19s%2Bz5x3wLuKdbBTv5su8I70rJ%2BfFJOcvlSTnEEN8Bl%2BTJyaiD7b9G4ZhGIaRtbTE6j969OjVRaO6o9paLtMB7emUMRUt8WGr7LaWR2JdGM%2F4OwMGDJgcz3z0BhtsMIhnrwTF6ELwzGOtrnfAzeFk3k3KSCEeSW5rLHctke94Wr7kMrV07Yivwe5TdmPim0PDMAzDMP47USnRPflGHCB%2BFZ%2F9IWWaBNNTVkH2gau8RIX5hWvj%2Bf48nu%2FODQ0N648YMWLYuHHjBkoV2%2BhC8Mx59ryDeBfrSZCUxPxavSsnJOWthfId%2BJA%2F4FPwLdY1MQzDMAxjpfAmuidnpEz35NFk3ZMiFqxPtLYcE8%2F2i%2FGMt21ubn53HIwbUce2BXYteOaNjY0NvAPRaX8xPj5aNv%2BC7bUQXRN8B7omZ1jXxDAMwzCMdqFE92TbFXRP7k%2FWPSlizUqZ2viZ8Xz31WD85nFQW8M6D6vG3gcNGjQ63sGkeBefiK8%2FjI%2FP0DuaZXstRNcE31Gqa7KtdU0MwzAMw1gp5LontLjEAeJDcZD4asp0T25N1j0p6rD2t1hXxrM9CtaiWDuUKMa7zaXr0EeK8BPjHWwf6%2BtxeD4yPr9C78jJeDG6JvgOdE2%2Bik%2FBt1jXxDAMwzCMlQJaAyNHjhzc3Nw8Kg4QG8WBYlfmI%2BJHV8d6ImUDrq8lDwh39LBGm8tjHNji2Z4dz%2FaAWJ%2Bura19bxyM65ycdG1ywjPn2cc7%2BJTmgH6bsrY7WpHm2cY7TADxmnwFPuNqni2%2BBJ%2BCb8HHWNfEMAzDMIyVQavuyYQJE4Y2NjauAXtRHCy%2BFZ%2Bfk7KhVsToShmMfCBr%2F4Dw8ymrzP8%2Bnu1JqthvGc%2B6webXteCZ69nvFe%2FhxPjod7Ee1DsyAUTHqLNzZrq58hnn4EPwJfgUfIt1TQzDMAzDWFn0hcEoDhE1w4cPH1pTU7NBHN4%2BF59zcLs9ZQxG83T4eM2HsbKoVf8az%2FaiOLT9uLa29oPV1dXDbH5di3jmzTz7eA8%2Fij9exDuJ9VQydXZH12vyDfPkK%2FAZJ%2BJD8CX4FHyLmOmsa2IYhmEYxttiRd2TsVDexjooPrsm1j9SRg1Ke9JSH8Y6JEq3WIdf2rtujHUoz3jQoEGjpk6d2s8m2DXgWfPMefa8g1g36J3MSW23g7bZ9q2l8g3T5SuuwXfwjPEl1jUxDMMwDKOsRIXKspi79ol1ZsqGW%2F9%2Fe3cfJ2dZ3n%2F%2FTAjg7s7OZLM7M7uTzWazLE9BIphbflCjBmyrkBso2CDBRBD9obZVC6X%2B2njXIGoVjU%2FVUAUhgA94G8GHiKlaqRilJoWq5UGCgAaQhMQQSAghj9zfb65j7iyKyU6STXZ3Pu%2FX63jtZpY%2FmHOO43od51zndZ73K1ZHA0dDVvuyl%2Bq3y6tStivUlX7mQeN7VJ%2FlLjRvAzz59lh7zD32KbszuDQ%2Bk%2BpdQZYt1h4b49rga8SPfM3wtcPXEF9LyGkAALBX1Fi0qnl7mZdlKK7Q795W%2BKeK3yjW04zt0QPD26P59TfMXpN%2Fg5q3t%2FnB7Pb29mKfZS%2FcRdn3DqouW%2FRYe8w99v4M4rNYF59N9XMiZ2uL9XFt%2BKmvFb5m%2BNoR15BW0g8AAOyVlpaWQmy1Os3b3up3H1C3MBq5tTRjezQ5qd5B8TMN3hXqa2rc%2Fr6pqenVpVLpsEql0ubmefLkyQeTgfuWx9Rj6zH2WHvMPfb%2BDOKzeLbPZ8TkpPZYG9eGhb5W9Nkqe6KvJWQgAADYK8ViMed1%2BWowTlSDMV2N3Lv18rUpu3uyigZuryYpfqbBD8Z%2Fx1sKa3z%2Fkq1WB9YLbJX9lx57fwbxWWwhp%2Fcqp1fFteFaXyt8zfC1w9cQX0vIQAAAsFc6OzsbyuVyqbW19Sg1Gq9Sw3GBXp6r%2BL7iEcXmxJkne9PM%2BcHhHyo%2BpbH936VS6U%2Fb29uPUSPXziF1%2B57H1GPrMfZYe8w99vEZrCCP9%2Bpsk81xTfC1Ya6vFb5m%2BNrha4ivJWQgAADYK16fP2bMmHxbW1vFDZ2XaMS2qzcrfpWysyC2MEHZ4%2FDDw0sU8zWu%2F0fN3Dn%2Bptnf7PNN877nMfXYxp3AczzmHvv4DFaTj3s8MdkS1wJfE272NcLXCl8zfO3wNSSeowIAANgrB3n7T68Xd5MRTd3b9fp1ip8r1qTnnxpPw1ZbPKH4RTR0H%2FHYaoxf412kYo0%2BuxvtOyM8prFD12s81h7zmGj%2FIj4LcnLPdp97Nq4FviZcF3l8oq8ZHvPYQpgNHgAAwN43dCl2OPK3ztHYzUjZUpjFKVun%2F1SfCQoNW23fOvsU7WWKf9fYft4HMvob%2FcbGxuNjdyMmJ%2Fswlz2mHluPscfaY56y802WxWfB3b%2FaD118Nq4BD8c14VO%2BRvha4WtGn53nyGUAALDv%2BNC6hoaGcV6uoX%2B%2BT%2FEtxV2KxxKHMu7N1qtu6v5LzdzXFR9XvEVxkprnEg3dvp2ceEw9tjHGHuuve%2BzjM2Br7D0%2FdPGxuBb4mvA%2BXyN8reBQUQAAMKCamprKfshVzce74ltnn3B%2Br%2BJxxTM0azWHx8w7HPmb%2B9s0ptcpLtEYn6yxbifj9nn%2BtntsPcYea495jP0q8neP8%2FfxuAb8wNcEXxt8jfC1gowDAAADystifHCdGpCZig%2BoCfmSXv6x4qGUfYNKw7Zn3zx7p6gd3zxrXC9TnNrQ0DCWjNu3PKYeW49x2nnnb0Xizt%2Bexrqo%2FR%2F7WuBrgq8NvkZw6CIAABhoI0ZLHMp4muJv1IB8TK9%2FQ%2FE%2FKXugmDX7ta%2FZr05QvLTI3%2BR%2FTGN8toa6m2Ux%2B47H0mPqsfUYx1g%2F3GdiwjNTtT8z9UTU%2Fjd8LfA1wdcGXyN8rUgsSwQAAAM5OYlDGbtf4FDG%2F0zZ8g527Kp9t6PqGRHe7ehOxWf97bMfKPbZEFOnTh2l10bS6O1ZznrsPIYey9jQYabHOMZ6Tdp5Vg%2B5W3vuPh61%2F%2FuHLnbHVtjkLAAAGFAN8VDxkXEo4%2FkpO5TROx79NvHt8558%2B1xt9J5O2dr9L2hs31ooFCZXKpU2Hxw4efLkg2OCgtqM9Nh5DD2WHlOPrcc4xvrpPpMS7vrVftfvt1H7PnTx%2FLgmHBmbOXDoIgAAGHAH%2BxtRn%2Fjc3t6%2BY3mXXnuP4puKX6fsW2gatz2bpHhp0YOKr6nB%2Bzs%2FuN0tnZ2dY%2BK0%2BFGkX81Geew8hh7LeBj%2B7zzGMdabmJTscWyOmnftv8fXAl8TfG2IuyYHk34AAGCg%2BRmIg71ERr1eeyzv%2Bmu95gfjf5myb6J%2F%2F64A0b%2FJib%2BJ9jMQt%2FiBbTXRZ5ZKpZdorMf29PQUOGG7dh4zj53H0GPpMY2H4W%2BJsd5Knu7Rnb7notZd81%2FyNcDXAl8TfG2IiQnPSwEAgAG3Yw35c889N0KNXy4ejp%2Bll%2F41ZedFeEtWH8q2JbGGf08aP58X4S1Z52pc31gsFl%2FR1tZ2RHt7ezGaPtTAY%2Bax8xh6LD2mHtuUbYH9GBOTPXrOZEvU%2BKqo%2BX%2F1NcDXAl8TfG3oe60AAADYL%2FytdKFQmKBm7yz988OK7ynuV%2FwuZd%2BqssSr9nDD95OUPRT%2FTo3t6Wqqj29tbR1bLpebyLraeMw8dh5Dj6XHNGUPw%2F8kxpqcq30p19NR4%2FdHzX%2FY1wBfC7i7BwAADpg4Mb5TTcmfqzn5B710Y8p27nkwmpeNNHM1h8ftjpQtlXlvfCP9So3xYWPGjMknvo2uxQiPmcfOYxhj%2Bd6ULUG8I8aanKstNsa4PRi1fqNr39cAXwvY%2BhoAABxII33itpqTKWr63qb4F722UPHfikfS858%2FIfp%2FboQPBvymxvXjaqjfoZimsT2GcyNqn5zEuTzHeAw9lh7TlD3AfVfiXJ49iaejtl3jC13zrn1fA3wtSOwoBwAADmTzFyfGv1QNyrn%2BVlr%2Fnq%2FXb03Zko%2BnaOZqnpw8FWN3q8byWo3pPyle7zGOE7eZnOxZfr7eY%2Bkx%2Fb38ZHJSW%2FTNz%2Fmuedc%2B%2BQkAAAaFlpaWgg%2B287KO%2BAb1Cr18s%2BIXKftmmoautlivWK5YqrG82aduK96sOEnjWyTjauMx89jFGHosnZtLY4zXk281xxNR287NK1zzsazzKF8LyDgAAHBA%2BTyDjo6Orvb29pepUTk7zpC4JmXr0VfTzNUczyhWpuyAQO%2Fa9fl8Pv8uH26nf5fJuJqVPXYeQ49lynbpujfG%2BBnyreZYHbV9TZzFc7Zr39eAONsEAADgwKlu1Tp27Fhv1fpKnxLtb6gTW7XuaXiL1rUp%2B2bf27R%2BVeM5299ONzY2VhLLZmoxwmMW3%2BzP9ljGmC6PMX6WfNvjra59F%2Bp817xrn62uAQDAoOCtQ3t7e%2FPjxo2rlMvlY71dq9f260%2FfUvwmZVuPbovGholK%2F7dq9Ta39ykWKT6ocT2jpaWlK3GwXS0O8ph57DyGMZb3xdiy1XX%2FJyTbo4Y3R01%2FK57fOd0179r3NYBthAEAwAE3derUUf7G9Nhjj23x0g41LD7o7l0p21a4emL8lj4TFBq%2BXYdPLPc3%2Bn7w%2BFHFjxWfVDM43VviugHsc8gd%2Fog4JPSQ2EZ4uscwxvLRGNtnY6zJud1PTqoHL1ZPhL8xlsm9wjXv2vc1wNcCMg8AABxoIydPnnywm5Ourq6Wpqaml6hpuVCvX624M%2B0874QT42s7gdtj5oePf6a4Ks7oOFpj3cgJ3Ls0ojo58Vh5zDx2HsMYyyfIxz3Ox99FTV%2FtGnetu%2BZd%2B74GJLYRBgAAg6QZHOlvTbu7u1%2BkRrA3vqn2eRK3pWx9%2F5Mp%2B6Z6C81ev7%2Bp3hoNoZchfUFjepGaweNk9Jw5c0bFBIXJyQvko8fGY%2BSx8ph57DyGMZYbY2y5k9e%2F2BK1%2B2TUsmv6465x17prPu6YjCQfAQDAoGsMfUq0mpbTFO9L2XMnPuxuhWKdYhPNXs1LvH6tWBDLaP5k%2FPjxHaeffnqjG0JO4%2F5DHhOPjcfIY%2BUxi2WGC2IsWcpVW2yK2l0Rtfwt17Zr3LXOhAQAAAx23rr1ZDWFlyiu179%2FlLJD27wF6UaavZrvovg07m9pLP%2FRu051dnYefswxx4zps5QGfVSXGMYYHR47df1jTJQfSdwtqTU2Ru26hn%2FkmnZtu8YTW1sDAIDBTo1LWz6fP1E%2F3xLbjX49Zdu3Ppw49G5PJie%2FVfybxvT9aghf19bW9tJKpTKup6en0NvbeygZ93weE4%2BNx8hj5THz2HkMYyyZnNR%2BKKhr979cy1HTb4kabyPjAADAYDZCTcuYWOc%2F3WdLKPxg%2FPcVy1K2bp3msLbJiZfT3Kr4uMbyTRrXqWq6jyyXyyXOlfhDHhOPjcfIY%2BUxS9nzT7fGWJJ%2FteXfk1G733ctu6Zd265x13piWRcAABjMk5OWlpaCGpijvJxGTcxb9fuH9fpNip8r1tAc1twcPp6yLXA%2Fq2bwnT5bQmP70jFjxnSqCW8i5Z7PY%2BKx8Rh5rDxmHrsYw8fJv5rzb03U7k2uZdd0LJU7yrXO5AQAAAzqyUmxWMx1dHSMV1P4v9TI%2FKWamL%2FX69cqfpqytes0fbU1hx6zpYobNJ7v0biepzGdogaxp62trZnm8Pn55zHx2HiMPFYeM49djOFqJic1x%2Bqo3Wtdy65p17Zr3LVO%2FgEAgEGtuqymtbX1qPb29pPjzBMfgPdDxUqaPb65HsjJCXfu9nmsjNr9pGvZNe3aZlkhAAAYEqoPJI8dO7azWCwer4bmrHw%2Bf7n%2BtChlp3PTHNY2OVmruNfjp3Gcp%2FG8VPEXTU1Nk9SAtzA5ef7kxGPisfEYeaw8ZpF798ZYkn%2B15d%2BjkXuXu5Zd065tNmQAAABDgs%2BYOOmkk3Zs5drV1dWjRvHVsbTrZsVDis2JA%2FBqaQ6fUjyg%2BKG3cVWTeJmXK6kJn6x%2FtzI5ef7kxGPisfEYeaxiO%2Bsfxhg%2BRd7VdBDo5qjZm13DrmXXtGvbNR6HLwIAAAxqB02cOPGQSZMmNU2YMKGsBvGEXC73V3r9iyn79vrplJ06zQSl%2F1u5%2BmRuPzPhpV1zFW9WnKRxLTI5ef7kxGPisYkx8ljdFGO3PLGVdS0Tky1Rq67ZL7qGXcuuade2a9y1TsoBAIDBbqRP6Xbz4oeT1dQcowbxfL1%2BleJOxe9SdrBbdYJCQ7jr2KB4LGWnc39XY%2Bldu%2F5G4%2FrKpqamMpOT509OPCYeG4%2BRx8pjFmP3WIwlObXrqE5MNkatumavcg27ll3Trm3XuGudlAMAAIO%2BQXRUJyiFQuEwn4ug1z6RstPifUr3OsWziq00g%2F06odtN4q8UP1aT%2BIXqEpvGxsYOJifPzz2PSXUpoccqZVsI%2F6rPpJic2nVsjdpcF7Xqmv2Ea9i13GdiMoLcAwAAQ65ZbGho6FST%2BH%2FHKd3fUfxSsSplS0Y20wzuNjal7CA8P5j8M43lzWoU36vxfK3GdiwN4h%2Fk21iPjcfIY%2BUxi7F7MsaSnNp1bI7aXBW1%2Bh3XrmvYtUy%2BAQCAIa2pqald8adqbv5BTc6NemmJ4teKJ1L2DS0N4e6bRS9H8ja4vgPgpV3%2F7AMG1SyOo1n8g8nJOI%2BNfv%2FnlC3p%2BlWM3QYmw%2F2KZ6M2XaNLXLOuXdewa5kUAwAAQ1oulyupuXlF9RkA%2FZtnAGpfZrMpxuq3KVum5GU2Z7e0tHQxOXn%2B5CTG5OyULSP8cYzZhhhDlhHW8IyTa7X6jJNr2LVMigEAgCHdLKqpafMuP36g1gfi6ff%2FV6%2FfnrJvZr2unR27%2Br97kr%2FR9gPKV6pRPLdQKEyI9f8Qj4XHRL%2Be6zGKsXoisTtcLbm2Lmrzdteqa9a1GzXcxmQYAAAM6cmJmpoxTU1NL1Ez%2FTovD1F8Tq9%2FT3Ffyp4DoGHcfcPY91vtuxXXaFxnaSyP8EF4c%2BbMGVnnTeMIj4HHwmOif8%2FyGMVYbfgjY0m8cK49GbX5Pdeqa9a16xp2LTM5AQAAQ7ppHC1qcI5SY%2FMaNTlv1%2B8fSdmBjL9I2bMANIy1PRy%2FTOEdu96ihvHYI488snny5MkH1%2FEEZcfExGPgsfCYeGw8RjFWPARf2%2BRkTdSmD178iGvWtesadi0zOQEAAEO6cfS5CF5qo%2Bbm5WpyZujnbL1%2BQ8oOxlvN5KSm8PKkBxVfUdP41xrPlx1xxBFtfU7rrsdzJ0b6vXsMPBYeE4%2BNxyjGagt5U9PkZHXU5g2u1ajZl7uGXctMTgAAwJBWLpebWltbxxaLxePU6JwWjaOfB1isWMnkpOYD8n6TspPiL%2FFDyocddti4l7%2F85c3Tp08%2FpB6fP%2FF79nv3GHgsPCYeG49RjBUHfdY2OVkZtXllTIBPc%2B26hl3LXNEAAMCQ1t3d%2FaJKpdKmBudwxRQ%2FK6GXP6r495TtCsTkpLbm8WHFt9SA%2F2OhUPjznp6ew0844YTWyZMnN3ppU73ll9%2Bz37vHwGPhMfHYeIxirMiv2vLrsajNj7pWXbOuXdewa5krGgAAGNJ8ovSYMWPy48aNq5RKpUlqHM9U03NZyg5kfJTmsebm0WPmg%2FEu81h2dnZOOvroozv8vIXHuh7zq7e3N6%2F3X%2FFYRH69j%2FzaN%2FnlmnXtuobrMb8AAMAw4%2BcB%2FI1rT09PYfz48RNyudwpanrerT99I%2FHN9p5%2Bs%2B2dlD7k7YTL5fL%2F0vh2qzEf492q6i2%2FnFt%2B784tjcWJ8YzEh%2FWn7yfuzO3pnblvuEZdqx5X167HOZ5rAgAAGNL8kPZBp5566qGHHXZYyecl%2BFA3vfZVxUOJg%2FFqbR5XKG5V8%2FhxxZva29untra2HqXGvKQmvaHeksvv2e%2B9o6PjaI3FyRqTC9VU%2BwDG%2F4ixYnJS24GfrsmvukZdq65Z165rONXnhgsAAGCY2bG7z3PPPTfSDy03NTVNiq1evWOXz1PYGE3RdhrJfj%2Bw%2FCPFPDXhf6UG8lQvvWlra6tIY70llx%2FS9ntnw4W9yqntUYMboyZviK2qJ7lmXbt9axkAAGBYmDp16ovU9BypJnKm%2FnmV4ucpO%2FTt2WiO2Flp943kKsXtiqtjx66zvH1uR0dHlxr0XL3llN%2Bz37u%2F5dfE5GyNx9%2Fp5c%2FHGK1ictKvHeC2Rg0%2BGTV5lWvUteqa5coFAACGJe%2BsVCgUetREnqN%2FfioaSC%2B9WZ%2Byw%2FJY4sU5FLWonqPTozHwTnDnKbfekzhHp9alXJuiBldETX7KNepxrccd4AAAQP04aPTo0eO9C5B%2BvyJlW5Y%2BkLJTqZ9JHJjXn8nJ7xR3Kr6iZvxyP3eiRvJk%2FX64d1Sqt8mJ37Pfe2y08CaPScoOYLwzxorJye4P9nwmavCBqMkrXKOu1ZQ9awIAADA8m8mGhoaxfjYgthP%2BpuJ%2FUrar0rqUfYNLw7jryYmbyF8oblYD%2BRE15W%2FXWL5Gvx%2BlZnJ0vU1O%2FJ41BkdrDF7rsfCYeGxijNYwOdltbIraeyxq8ZuuTdeoazXxnAkAABjOzWRjY2NHU1PTn6qJ%2FAc1QDfqtZ%2BmbIcgN5IbaRZ3OzlZq7hbsVDN%2BKc0hn%2BrsTxdv7%2B4UCi01NvkxO%2FZ711jcIbG4mL9%2Fi96%2FdsxRmuZnOw2NkbtuQZ%2F6pp0bbpG9e8OJicAAGBYN5NqetrVQE5VE%2FQuNUF%2BcPkHintTtrPSMzSLu52c%2BKHlXyq%2Bq%2FH7rOL%2FaDxfp3F9icZ0TL1NTvye%2Fd49Bm6qFZ%2FT699L2a5TTzI52W08E7XnGvyBa9K16Rp1rTI5AQAAw7qZVNNT8gPc%2BvlWf%2FOv37%2BVsucDHlE8TbO428nJU4pfpeysk%2Fkaw%2Ff6MMZCofBS%2Fbu13iYnfs9675O9MYDGYY7%2BfV3Kzjj5VYwVk5Ndx9NRe3e6Fl2Trs2o0RKTEwAAMNybyTZv%2B6qf5%2FuUc%2F3uh5d%2Fovh1yta%2B00zuenLiMfISnB8rvqwx%2FKDGcJa3E%2FbY1uHkpG8%2B%2FbNeuzHy6SHyqd%2F55Nr7iWvRNemxjDGtt3wCAAB1ODlpbWxsPD6Xy71e8f%2Fo39ekbGnX%2FYlvuvsT3vJ1uWKJ4iaN31zFmxUnaTyL9TY58Xv2e%2FehgYqPpexh%2BKUxRuvJl37diXPteUnXNa5J16ZrtA7vxAEAgHqbnPgB5qampmO9VakPEVQj9Gm9fovinsQDzP1dhvOo4meKb3v8FG%2FzOR91uAzHzzCV471717LPRC79LMaIZYL922DBtXeLcykO9jzTNVqHGywAAIB6m5x461dve%2Bvtb6Op9nknbP3a%2F9iQssPyvBvV9zV%2BPs37HRrLV9XhA8zVDRZepTF4p8fCYxJjsyLGipzp%2F9bUV7gm63hragAAUG%2BTkzg0r9e7AcXa9sv0%2BpcVdyQOzevv7kqrUrYb1W1%2BADzuQJ1cj5MTb00dBzBeEg%2FD36ZYFmPE7m%2F9O9TTtfdl16JrMnbT663DQz0BAEC9TU7a2tqaR48e3R3PSJzjrXD1%2BvyUnXeyislJv86lcEP5oOJ2xZc0hu%2F2uRRu1OtxchLn5nhLZU9y%2FzPGhnNz%2Bjc5WRW1Nz%2FG0DV5kmvUtcrkBAAADGvlcrlpzJgxnbH1rQ%2FOe5de9tkU3n3qcSYnu41nU%2FacgB%2F4%2Fi%2FFVzWOszWef65GvVKHk5NKLBF8j%2F69IGV3AR6OMXqWfNnt5OTxqL3PxdlDZ7g2XaOuVa5YAABgWKtUKo3FYrFdjY9PNP8zNZUX6WWf6u3lOCuZnOw2NqVsh6XfKn6u%2BLrPOlFjeap%2BH1tvkxO%2FZ793n3Gi37%2Bp%2BB%2FFYynbIncT%2BbLbycnKqL1%2FcS26Jl2brlHXKlcsAAAwrHV2dja0t7cX29rajlAD9Ao1lm%2FUy3NTtp3wY0xOdhubU7ZFrptK77L0bY3h5YppHt46nJx0xnt%2Ff8p26vJJ516q9HSMFTmz68nJY1F7c12LrknXpmvUtcoVCwAADGu9vb2HdnV1tXSLGqATfKaCXvbhed9L2d0AJie7n5x4Fyo%2Fd%2BLzKb7rwwcVpzc0NIyrw8mJ3%2FMZig9FDvlkeD9v4ofht5Avu52c%2FDbG7Z9di65J16Zr1LXKFQsAAAxrEydOPERNT37cuHGVUqk0yWcq6OXLFN9J2dkUTE52HW64%2FSzFk4pfa%2FxuVXzE41jHkxPn0EcUt6bstPMnY4yYnOx%2BcvJo1J536jrTNenadI26VrliAQCAYW3y5MkHT5o0qUnNT7FSqRyZz%2BdfGw8zL1Q8wuRkt7E17Vza9Ygayh%2F5ZHTFWS0tLV11ODnxez5L4dPhfxQ5VF3StZV82e3kxOO10DXoWnRNujZdo65VrlgAAGBYmzp16ijFi4477rjR48ePnxBnVLxbf%2FpGynZZYnKy69iWsjsCXra0QmN3u8bwk4rXjR49enwdTk78nl%2Bn%2BFTKthFemXYu6dpGvux2cuKa%2B4Zr0LXomnRtukZdq1yxAADAsDZ9%2BvSDqndPjjjiiLHFYnFKPp%2B%2FWH%2B6KWXb4zI52f3kxOGdqFarqVyqpvLTiul1Ojnp9nvXz8%2BkbGvl38XYbGNy0q%2FJiWvuJtega9E1Wb1r4lrligUAAIa1OXPmjHTT4%2FXsxx9%2FfNEP4KoxekfKzqj4DZOTfjWUDi9ZekJxp8bvSh%2Be54Pz6nRy4k0VPpuyrZWfirHZTi71K5dccwtcg65F16Rr0zXqWuWKBQAAhrXnnnvODeUINz9Tp04dXSwWj1dz%2BXa99pWUPcxMQ9m%2FyYnDZ3n8wo25xvBcN%2Bp1ODmZoJihuFpxd8p2MmNi0v9ccs19xTXoWnRNxh2TEVGrAAAAw35ysoOaoFy5XD62ubn5f%2BufX1Y8lFiKU0tsiIb86mjQJ9Tp5OQNimsUv0ycCl%2FrEkHX3Jddg65F1%2BQL1SoAAMCwd8EFF7yoo6PjaDVGF%2BqfX1Q8yOSkpng2GvJrokGvx8lJj2KmYr5iWeLgxVonJ665L7oGXYuuSa5MAACgLl100UUHqyk6QnGB%2FnmD4oHE9q%2B1Hsi4LBrzmdGo1%2Bvk5LqUHcBI%2FtS2LbVr7gbXoGvRNcmVCQAA1CWvbS8UCofl8%2FlZaozcXPrEcw7Oq625dEN%2BvWJWHU9OZsUYuNHmzlttB3re79pzDboW2aELAADUsxFqiHrUGL1BDVLfZwZ4mLn%2FDzR7Wc4N0aAfpqinHZZGxnt%2BY4zBg%2BROTbmzY1mga8816Fqss8ktAADA8ycnKdthyg9zX6W4K2UPeW9L7LhU6%2BTkjfU2OfEhgWqqD9ev5yu%2BwOSkpt3etkWt3RW1NyPV325vAAAALzg58TkV%2F6r4meLJlC03YXLC5GSX4pmlI%2FXrm9LODRXImf5NTrZErf0sau%2F1TE4AAACTk6whOidlJ3zfoViTsge9OeG7tsmJ7x701tMzA%2B94xzsObW1tPUq%2FVnd7e4jJSb926NoWNbYmau4zUYNMTgAAQN1PTsYrpis%2BrViqWB2NE3dO%2BhcPRWN%2BgZc4ealTvSSPJmIN7e3tE5ubm9%2BSsnNyfk0%2B9PvOyeaotaVRe9OjFpmcAACAup6cdKfsW9t5ijsVa2kga4pHFF9RvEVN%2BlGnnnrqofWQOD4gcNasWU0%2BODCXy71NL31V8Sj5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JSksO8zMsnefubccXfxrMoX0o7T5h%2FVLE%2BcedkuN45WR%2BfcfWE9y%2F62RLlwrs0KTnXWwR7GZdypcc54wMVnUNUEgAAAPbW%2F38uSmdn545nUdrb24v62aVGdMcJ8%2FFcwWX6eV3KTv728p7fpp0HNzJJGT7nljwdn60%2F4%2B95e2DlwBzvwuVlf4pjGhoaxkWOFJwzKXu2hG2CAQAAsM%2BN9JkUvb29h3Z1dbX4ToqfK%2FAExU2qH4TWf7MwZcu8HkjZWRfVZ1Gq56IwWRkak5HquSXVZ0tWxWfqz3ahP%2Bv4zP3Zv7JcLk%2Fo6ekpeCI7ffp0T0Z42B0AAAD7x0UXXXSwD9FTc3pkPCzvZV4X609XKHx44y2Knyp%2BqXgsZcuBttL4D5nYGp%2BZP7t7Ff%2Bp%2BHZ8th%2F2Zx0PvU%2F19sCerMakBAAAANi%2F%2FICzl%2B34uQI1qb2%2F9yzKu9SwfigaWT8w%2Fz%2BKx1O25Sx3TobGnZON8Zn5s%2FMD79foM%2F2gP1t%2Fxv6sY5vpXi%2Fj8knvPPQOAACAA8XLdkYpGsaMGZP3GRajR4%2FubmpqOs4PRXvbYb32bv38V%2F03303Zt%2B9eGuTnFthueHBvE%2Fx0fFb%2BzP5Nn%2BGVccL7eT7h3Z%2BxP2t%2F5v7sU3ZuiXOByQkAAAAOuB3nV1TvpHgL2WKxOCWXy53jCYrisyn79v3OlD234KVCT0QT%2FCwTlQM6IdkSn4E%2FizXx2TwQn9Uif3aemOiz%2FMtSqfRyfbZH%2BDOOh905twQAAACDV3WCosnJ4WpqT1JTe3Y%2Bn39nyp5FuS5lzy34%2BQU%2Fi%2BItaddGc8xk4cDEs%2FEZ%2BLPwnZLb4zPyZ%2BVnS94Zn%2BGJ%2Bkx3LOGKiQkAAAAwuHk3Lx%2FcWKlU2ryDk5cAecthH8yn%2BGs%2Ft6D%2F7PqUbTv8c8XDinWJOycHIrwjlw9UXK7475Qtv7vOn5E%2Fq%2FjMTtZn%2BBJNSrrjM23yZ0ymAwAAYLDbcS6KD93zA9J%2BHsENrX52qsndccK8n1vQ7%2B%2FR71frv%2F1ONMWPpJ0HNzJJ2X%2FnlqyPyaGXcH1bn8nnFLP9wLs%2FK8VR%2FuzGjh3b6s%2FSn2kcqDgysZwLAAAAQ8xIby%2Frhra3tzff0dExXg3vn3iCEk3wlfpvvpGyZV6%2FStnuUF5ixEPzA%2Fuw%2BxMx1venbBnXzfosPqPP5B9jYvIn%2Fqz8mfmz49wSAAAADCtz5swZ6UP6%2FNyCv5X3kiE1wu%2FQn7zM6%2FOKb0WjfE%2FKTiH3Uq8tTCz22eTEByp6CZefLblb8RPFNxW%2Bg%2FUBfRZ%2F44fe9dlM8eGa%2Fqz8mZG5AAAAGJa8LMjLvAqFQk9jY%2BPxaoZP8Y5ebowV749G2Yc3%2BlmUFYpnUvZcBBOMvT9Q0Se9eycuL6NbqLhKY%2F6%2BPs%2BWnOLng%2FzZeBlXb2%2FvoWQsAAAAhis%2Fo%2BAHqV%2FU1tbWLK0tLS1daognxQPzr9drl%2Bjnp1P2LIq%2F3V%2BZsuciWOK150u5vBvXupjs%2BUDFb2uMP6WJyd%2FGpORV%2BgyO9Weh18b4s%2FFnlDi3BAAAAHU0UdlxLorvpHipV7lcPlGTk7M8QYlnUTxBqZ6L4sbaz6I8w0Sl38%2BWPBNj5rslfp7nvzwx8bMlnphonM9sb28%2FwUu4%2FBn4rlbi3BIAAADUMzfFXkakJrlHTfMJapr%2Fwsu89KcPp2zLYU9SlqadD8z7TgrPovzx2BJj9HiM2ZIYw%2Fka2w%2FFds5ntLW1%2FV%2Fe6lkTxDEs4QIAAADEO0FVKpVGN8neIcpnasQyLz%2BL8k410h%2FRf3aj4raUHdzouygbmIT80dgQY%2FTLGLMvawyviMMUz4lzSyZprLs85r57FbtxAQAAAHVvZPVcFD%2Fv4CVGDQ0N49REH%2BNGWo31BX5YXr9%2FUf%2FtrSnbzas6Qdn%2BAlFvZ5X0jerExGN0q8fMY%2BcxjAnfMRrfcR5jj3Us5fKzJezKBQAAAPz%2BRMWnj3uZUVdXV4ufh1BDPVXN9YXRZF%2Bbst28fqq4L2Xb4roZX52yszu8Va6XNPl5Cz8I7mcvvMzJz2FsG0ITmOr%2F57b4f98S7%2BXZeG%2Fr470%2BEe99RYzFfTE2t3isYswu9Bh6LD2mHts44Z0JCQAAANAfvpviZUc%2Bpdzf%2BvvgRj%2FIrT99QOEH5r3U69uKH6TsEMefR3P%2B65Sdk7Iq7TzQcWPKzvnYOgQmKNX%2Fv63x%2F7wx3sPaeE%2B%2Fjfd4X7zn%2F4wx%2BHaMyZUaJ59b8rces7j7dJTHMk53BwAAAFALHwDo5yHK5XJJTfbhhUJhcpyLcraa7TfptYv1n71P8UnFdSk7ad5Nuh8Avytlu3z5bsLvUraVbnWCMpjvoPS9Y1KdmKyL9%2FBovKe74j3%2BIN6z3%2FsnfWaJx8Rj4zHyWHnMPHYeQ48lhyoCAAAAe8aNtL%2Fpb2hpaSmo6a4%2Bi3K0d%2FVS4%2F1nPhvFu0%2Fp35cp5il858A7U%2F04ZXcVvFuV7zSsSdndh%2Bo2xNsG8eSkupRrU%2Fw%2Fr4n38Kt4Tz%2FWWHzH7zXe82VxkOLrPSYeG4%2BRx8pj5rHzGMZYMjkBAAAA9tKO8zf8vER3d%2FfosWPHdra3tx9TLBZf6YME1ZC%2FQ434BxVXKRbo399P2d2FexXLU%2FZchu9A%2BJmNLUNgcrIl7Tw8cXW8B7%2BXJX5vfo%2FxXj%2Fo9%2B4x8Fh4TDw2HqPYHphzSwAAAICBMmfOnFHHHXfc6KOPPnp8R0fHS9WUn6Ym%2FS1q0N%2Fr0%2BUV3jp3keL2lC2B8vMZPvPDD5BvHEKTk43x%2F%2Fx4vIe7%2FJ783vwe472%2B1%2B%2FdY%2BCxmDBhwniPjceITAGAoeX%2FAzlhsRrWr4lEAAAAAElFTkSuQmCC%29%3Bbackground%2Dcolor%3A%23fff7bc%7Ddiv%2Eexplore%7Bbackground%2Dimage%3Aurl%28data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAQAAABecRxxAAAzmElEQVR42u2deaBO1RrGn%2B84I5nJmIsIGcs8ZczQlbpdQzJGikohoYvKmMyaCCEkihTpRooodaWINCiZ55mMxznf%2FeOkDOew37X3%2FvZaez%2B%2F9fc5e613WN%2Fea70DQAghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBASTBKQH2VRDy3wKAZgPGZhMT7FF1iD7%2FETtmAXDuA4ziAJSTiD4ziAXdiCn%2FA91uALfIrFmIVxGICuaIF6KIv8iKdQCdGTWBTBneiMYZiN1diBUwi7ME5hO1ZjNoaiM%2BqjCGIpeEK8IQ5l0QaDMAOrsBPJrjj89UYydmIlZmAg2qAMtwNC3CWE%2FLgLffAWNiLRE5e%2F1kjEBsxCHzRGPoSoLEKccvui6ICXsAJHtHP6tMZhrMBLaI8i3AoIUX3Jr4peWIADxrh9amM%2F3sNTqMIPBEKskR13YzhW4azRjn%2FlOIOVeAFNkI0KJiQ1YlALL2C9r9w%2BtfEdhqEmoqlwQlK4CZ3xHk743vUvHccwD52Qj8onQf7Kr4uR%2BCFQjn%2Fl2IAXUYcnBCRort8Ub%2BFkoF3%2F0nECM9EEcTQM4ndi8U%2B8ieN0%2BlQ%2FC6ahEWJoJMSfh3wN8YZBd%2FnexRBMxp08JCT%2BIYQamIRDdG7BOIiJqMYwImI6OdATP9KhFccmdEd2GhExkSjUwxycoxvbHGcxG3X4LkBMIjeewW90XgfHr%2BiDXDQsov%2F3fn28p2Gunh9GIuajHt8FiK7Eoh2%2Bp6O6PNahDa8KiW5kQR%2FspntGaOxEL2Sm0RE9KIhxjOrzIHpwNArQ%2BIi3VMRcJGntKOewBxuwHPMwCeMxAkMwAH3QA4%2FiIbRFS7REWzyER9EDffAshmAExmMS5mE5NmKP5rcYFzAbt9MIiTdUxTLtnP0XLMFE9EVrNER5FERGm4dmIWREQVRAQ7RBX7yOJdis3abwMSrRGElkKY%2FFmrwIf4Ep6IfWqIa8iIrI2qOQF9XRGv3xBr7U5ONnIcrRKElkKIMFnhp7En7CXPRHUxTU4FIsCoXQFP3xDn72%2BGNoHkrSOIm7lMBcj8w7GRswAQ%2BiPBK0lU4CyqMjJmKjZ4XK38ItNFLiDkUww4PfuFP4DIPRCFmMklUWNMYQLMdpD96PpqEQjZU4S1aMi3B832G8iydRwfCglxhURHfMw9GIyu48Rhu2YRKNicajEUzmTcYaDEQVpPOZDKthMNZGcBM4gId9JkPiCfWxMWI58LPQGjl9Lc0b0RazI7adrkdtGjCx89X%2FfkQM9WcMQsUIXeLpQDpUxhBsjohs56MwDZnIyYQROO%2B6ef6GoSgT0Ay3EMrhBfwegfCoYchIgyYS02yL%2FS6b5Va8iNuZ3IoQKmAktrss7b1oRVkTaxTCEpePp8agEs3xim2gCsa5fDawmMlD5Ppfpz1wykUjXIpmbIORJnFo6Wp%2BxR%2FoxpsBkjZlsMY149uNIQxQscTNGIa9runhKwYMk9SIx1CXQn2SsAhNWeleRAzuxWKX4i7P43l2ISKXcwd%2BccXYjmAY8lO8ityE4Tjmil5%2BRDWKl6SQgJddMbLf0Q03ULw2yYgnsc2ViMuxiKd4SVlscsG8vkYzHjc5RjRa4BtXehOXonCDTBR6Ol7fJhnvoTov%2BRwnhDuw0IW2I92oq6CSF0sdP%2B6bjqIUrIsUx0zHaw18xJYjQeReh8NOkjEbxYySQGZUx31ojpqGldh2vijLAfyTDhEkMuB1x8tRmfQ1mQ6t8Pkll2xJ%2BBytjDqzKOt4mtYrGldaIg4bj7NXfotwm1HrL43vUl3Ht4YdiVXARw5fDTJEKAC0cbRM1SeobNj6G19j%2FX%2BgoWGrqYbPHC2%2F1pIO4mdiHb3x%2Fxl3GSeBajh7nVNx0za0EJriVwe1OoadB%2F1KXnzpmJkcQ3cDk3oyYed1V7bNwOClODyNE47pdgVvBfxIDccSTJIwwdDCXUMsre85I9eWC5MduyDcjSp0GD8RwhOOJfp8ijKGSiEeRyyt8JCxCcu34XPHEoa6MkDIL2TAWw6ZxTbca7BZNLa8zvoGb%2FXNLHzmWBvTeTHoB%2FJhnUMv%2FmMMT%2B0ZZHmtzxq9zox42aGPgW%2BQmw5kNmUc%2Bj3Y4IMOtG9aXu1U49daDT869M7H2ACDaejI2fA59PNFGa95llc8xwerjcNzjlR1Poa6dCQz6YwLDhjAShT3iTyCtQEAQEmsdsACEtGezmQaURjmgOpPoIuP2nUEbwMAovAYTjpgCQN5J2AS8ZjjgNJXoaCvpBLEDQAACjvyHjCDdQRNITu%2BsK3uC%2Bjnu4o%2BQd0AgGg850CB0eXISufSn%2Fz42YGGXZV8KJngbgAAUM2BJmSbkJcOpjc3Y6ttNU%2FxaSnPYG8AQCbBRWhaY4vPPgt9Rgnstl3G%2B9%2B%2BlU7QNwAAuN92mfGduIWOpiflcMB2Hpifa%2FhzAwCAArZPiPahNJ1NPyrjqE3FjvJ59x5uACnEYLxNSzmMCnQ4vahl87b3jwDUguEG8Dd260KdQA06nT40whlb6twciIjv2ZblMTMA0iiLLbZs5jTupOPpwT02Y77fN6wstipjLUtkRCDkkRWLbeaI3E3n0%2BHX3477J%2BM%2FPgr2vTbtLEulVUAkEoXnbW4BfAvw%2FNvfzsv%2FMeOq4Nohl8XkqERkD5BUmtjKGD2NmnRC76hs6%2BhvG24NmLzesSSXtwImFXs1I07wRsArytm6%2BAtitZfiFj6XzqJI4OSS11bVqMOMC%2FCCErbCft5HhkBKrcd1JfN4IOWS0daB4D5GB0aawraCfsf5LtPPKqHr3AWMCmzeezQm2AoQZo5ABLnJRspPMp4MtOxC6I5zaZxpdwt02YsQetlKE2KmYITIbiPh9zTuoQBxC96%2Bok9CImajKAWDZjZulX5kvYBIEI9Vyio6juoU4J%2FkwP14EW9iJkagVaAu%2Fq6NnaDy5awa5DZReNvGaW15CpBcFztpZTNZO9Bdhtk4qS1F8RFLlLVxwzSQ4nOPzspq2cEvXCKguI1bJhYRd4kGynX%2Bf8M%2FKD4iorDyTVMi6lF8zlNGOWZ7E%2FJQfESMennZY4ELMnedfMrx2uuQk%2BIjStyIDcp5Jmwr6iAZlGO1NyEHxUeUyaX8FvANm4s7RQhvKX%2F78%2BWf2P0QUD0LmMYrQWd4Qvnkn0d%2FxD7qeSddKDz71LgiaNX6vT8v%2FogzFFeMCziPKhSePfJgr5LoDzHshziIau2JXchF4akTq9jE4TiDfonDVFHMEVju824TrvKSYsYfU36I89TCWcWGM0SJNor5%2Fkz4Je7QXPEwsAVFJ6esYu%2BWJyg64hq9FftOlaToZGTAL4rFvghxjxAmKgakMSxIxOuKpT7TUXTEVaLxXyXbfIWis869isGXGSg64joZsV7JPptQdNbIi0NMvyAakw%2B7FCz0AGMCrBCFpUzAJJpTVikq4CNmB1yfHkpXfw0pOBJRmip9BjxOwV1vZz2nINZ%2BFByJOIMVLPUsQ9SvRQI2KQj1g8A0%2BCY6kQ4fK1jrBsRTdGnxsoJANyMzBUc8IZtSrYCxFFzq3MEYK2IYtyl0EkpmrkpqxCvF%2FjHKmnhLe6UmYuwgdBVDFAQ5mmIjnvOqguU%2BT7FdThmFuj8rmGlNNCAWXynUCuKn6yWkwxqxCI8gPwVHtKAgjovt9yvmrfyNSvDPvyk2og2tGRSkTiGcEgvvDYqNaIW8dP1JFKDYgBCWiEX3K26g4IhWZME2sR0vZm4A0FYstguoRLER7aiJJLEttwq60DJhPyP%2FiU%2BQZwfsCfq77AixyFbx9JRoSgz%2BJ7bnoUEWWBGcF4rrBNt9Ea0t%2BpQ4P7BQcMX1PrutEZ%2FRXWzT7wZVVPXFolrJxF%2BiOSpBbbWCKKho%2FCAU0zkUo30R7ZGHta8P4rnWozz9Jz5FntjWOWgiyiqu%2FLsBsbQsYgTx%2BFlcMThgZW3GCQWUxOAfYhA1xe8AI4MkniLir6Qx2q2hBLpiLKZgPB5HWcTyeJJcxgRxgnDB4Ahnhrjph149f5pg7RUz%2FAVr0R1ZaPfkTzJjNxPcUqe4OGb6Xo1mn%2F4aeV%2BnMAnlaPsEANBKnONSJBiCmSMUzKca5UxlwKrrzvdLtGbNN4IQvhRa%2BswgiKWM%2BPivtEazn275VHcYs70DT0VxveAS%2FhfKAqFQJmg09%2BrCrWs%2BajPjO9BMF1r7XL8LpLy46WdOjWb%2FvkLhp414mG3LA0te%2FCG0lzL%2BFshioTh6aDT3zAqVi1PGUYxCYXpDIPmP0Fbe97MwqgqF8YtW0X93K7r%2Fxe%2B7RajPD4LAES9uH1bBv8JYJhTFXVrNvo%2BtDSBl%2FIDOSKBXBIp%2FC23kI78KQnomulSz%2BQ93YAMII4xDGMaeBgEiZOHq%2BPLh01gS6f2%2FbtH%2Fzzu0AYQRRiLeRmX6RkCoxXgAoKAw%2Fm%2BRdito7%2BAGkDK%2BRgu2NwsEy4Q%2FDz58QxwrdI7btFtBYcc3gJQ8hx7IRA%2FxOdLj7xF%2BE0AWnBQJYJ6Ga4i9KgXIqXECoxk36HNkF%2BDH%2Ffaj0Ft4ZaZj79QofOvSBpCSCjKHNQ98jDQErqefFh8rTI2crek6uru4AVwse3o3Kwv4FFkQ%2FA7E%2BGfp7YQx9LoW%2F8yC065vAWH8hE7MJvQh0jS4B%2Fyy8BC%2BFy18usZrmRyBDSCMMPbiGWSlz%2FiMuSIb%2BNYvcaP1hd%2F%2FRTVeS7kIbQBhhPEHxuImeo2PKCW0gLr%2BWPZ7okUv0Hw1qyO4BYSRiGlByBEPDP8NXs%2Bg3MIcuuqar6d1RDeAi5tiFfpOAN%2BGz%2BNG85fcVxgbp%2Ft3TxwOeLAFhLEcjZhL6IPzsPUirT9t%2BoKjsEW04GYGrGmYJxtAGGF8h2a8JDScNsKEeMM3%2FXqi5f5uRI%2B0AuKqxs5eErbz0w1x4IjBriA1DpVlAHYzZFXvebgBhBHGVnRBPH3JUHqJdD3L5KXmwDnBUo%2FgBkPWVcfjDSCMMPagB9LTmwwkM04I9HwW2cxdak%2BRSQ8z6ChnowZbQBj78bQxmyb5m9G%2BfC9OxU1%2BEgUAm5QD%2FYgWG0AYYRxEX2SkTxlFIWFfbEMPAmsYXgDkWmTAUW22gDAOoz9rChjFUpF%2BDa0d9bpokU19%2FRp3AckubwJH0I9vAsbQXKTbV0xcYgwOCZa427jSWIVFLp2MBnhJ3CRCXm60L88EjCAOBwV63WfE9fgVNBSZ7hADlbhItMLxALLgaex0fRPozU5EBjDK72lBb4gWWMhAFd4pzO3L8ueb0f1Y4%2FImsA9PsKKA5hQXaXSiacuLFR2SLTVShSFsEimx1yV%2FWQPvu3wqsAOdGTGoNStFdz2GfSLfJTLW5oaqsLNolduvUGIxTMQZVzeB39DGxK%2FHgNBWpMs7zVrcm4KlHdCqA6CE9DgsUmKLq%2F5DTjwnOg6Sjw1owixCLUnAMYEep5i0tHgcFyxtrMFKlGUGpp7snB5dhTmT0rEKNehvGjJBdM1r0M9k0yCEOQAA8uOCI%2BVOotHC1aLjYXyI0vQ4zagt0mBjcxb2liizzewX1LdFSnzvmoeKdbHExS0gGVPZlFQr0mGvT4rlXkacqAvQi4YrsbLDJU9vxzsu3g%2BcwQvITM%2FThpcEujtmyq1OXZFJljdeiV%2BL1vuahf9YFJNx3sXMgSd4QagJsnyZmmYsaqToosr8E%2BoWwt%2FgnJb%2Baz6MdjF0eDPu4d2ABkSJ6gMZkjD%2Fg2BJQ32gxGhsFznfs5b%2Fc3YMEl0VycYKH7x9mc8YgcbWmbCgm0RGWMYXSpQVPjmABMH%2FzoxnXKtDnIxpyEMfNOgMyQBtSaLjfvbJa2gmUZGnMLoI%2F396dBe2V7U%2BTuIZ1hf0kBC2CbTVQf8FzRcsZ5Bv1CirDvCbQoBuPB51LZPwd%2FyLJwKeMUKgqbm6LyZGFANY0TdK%2FIcwIEit%2F0EcHhGeN0gSsorTFz3hDoGWjuqeFFRLlOHkpyYXsgLo3yj%2F4sbiIdFLo6QP4UjWFNL%2BR7Oa3ot5ISgVz6%2BiktDd6th4Viw6u%2FQmsBst%2BDGg9WfzYL2XIul81tpnalwpcrWPbT4tFg%2B7tAl8gmL0yYjykEA7a3VeSHbRFVROn6nxbqGjlbP9xDg8hj0ubAHnMYg3AxEkv8hvsvjDBdb4To1Roj4IYcxx5KkJ6OlKRYHNqEfPjBiSRjMaZwUOFyxjoA%2FV2EnkYkko4tBzM6KfKxGDM5CDvhkRJFeBGhfQXSVYRlUfqjFOlN4ZxusOPjsbXsBpF%2FoOPcBDwQggSaBbrq%2F5nxVkpPmzVt0zIvc6h7yOPj0PXnYhi3Axqwi4Tqwghf60rrmcVQVG9a5PFZlVmME30vEZFBaVY7E2jqMT3wNcRtJlopKeS5D0PX%2FSt4ocK4zEd6P582342PFNYAnfA1ylj0AXPfRcwgLBEir4VpE3IVHkWM%2B7NI96jtcYPIa2fA9wDUlpkHk6LiAkSFo95euKNNOETT3dCr%2BNQmvHQ4Xe472AS8TjnGUt7NVxIy4qMKPPfK3KEkKn6u2qWT0tijS3YnwN6a2usFqghcL6Tb%2BDf%2BKZbfO%2ByKX2iwqEyMmJV4S5itcbo9l50AUkpfTa6jd9SX3TRj5XZRWhQ3WLwFvJYke3gG8dC2IiF7nX7GY6KwTRzP4vTL1C5E67IvKL2lgYqnztcSKVRmfEDjcKpP%2BpfkeARwTd6vxPI6E7dYnIrGLwpKhr8%2FXGeGO7OurJL4IITc2OASX5TBMCoMoQvhN2Do6UK%2BXEJAcbj3yB3PRbx5gqkLxmcm8smPqDgVBmM6ErPRTBuZXHVw6WEKlAz3WILgK5N9Br6pI4pmBUo5cmB%2F8e0diIKHR0LIn4DJrTdx2hmkDqvfSauvX48ySXL730oZ3QkSL9ZpQNrzn2MdCT3usAmUSp2lphvaDBT4FRZwy2avwOkEJlrHNoCxjGMGEHsG4xWnUJihXEv88NkDq7Cp2okwdzjEYPh3oQDqX%2F2uYDQSq5RuH0ZQRm0j9A6owXVuzb6tG12j%2FwIT8EtGCwQNol9Zl2G8G0mwZKoT2ELtTZo3mG0NKRDoQ8DrRHc4GsW%2Bkz7UGCaRcMlELTY7%2Bm8QBXkx0zHbgRqEgvtkFxV7pMu84MQQBp0I6Knha6UFdPZ9vEdpnx3QwNsnUic8aypKfpM%2B1VgsixoHEDDgkdyNtr0qyC7TwtHTNAWJ21JhYHtd61dkoAVfqM0IG8L%2Fj0L5vnAWPpx8rMsizlbbpMOU4QTtIvgCrNJEiUSqkPcIPnc84lKlLJw0DnsH4PcEGXTsFFAtwP0Br9he7zjAZzDqGr4Hv06rOem%2BnLSkiayxTSY8p3%2Bqe5sSbvAEeRVYt5l8IPylvAWp4EKCFpEVJHjyl3Fkw5b0DV2s%2FQqLr0mKK8BYykNytQWCDhjnpMeZjlCZ9FVEDVmgmHRc5zCrm0mXt75U%2BBBvRnMTFIsizfQXpMebblCf8SYMVK7wJe0mju5YRpTRfHHmSnR4uxXsp9ph4Ttl7OeEmA1ZpRGA9wXpcjHgBADqxU2gLmM0dQjPV6kqv0mPAOyxOeGGjF9hY6z0ytZh8neNO7dLShRwux3lhmqx4TPmV5wn0DrdgM2CdynWSU1Wr%2B6fCOUkMx9hSU8ZzgslUDEhgFYJknhM7zkWbzjxd1r7k4PuZngIiOAtlqcNUqqQcc9KZS8YKgaa1uev8it3gFGl1XGUJTgWTzeD%2FdsuwJLKCzOJxGt4vTioImln9%2FBuSjX1tGUhq0tPfTrcdaAAJi8JvQeR7Qbg0PK7wDLOJngGWKCeRa2%2FvpthBMNyO1K6qelJLzFa%2FZCkKCjLW%2Fx%2F1UvUWyC6TazPvpPiooY8hfASAdNghdp5d2a7hB0MTq4jjAoCDLFmI9u%2FYR76c7QBAXRgCgifgLOod2ayincBLwJlVvEeshYxqk149nU1DxK%2FQXQtd5WcNVdFf4DKhL5VvC%2BvvVGO8na%2F17cDk1%2Byc1hI5zAcW1W0MUlog3gM3anWfoyZcm9QdabHmy86jZv5DW4f9QwzXkFWY4hhHGQKreAgtNsotPLU92kuIT4nEXBuFNzEt1zMZYtNMoedYapcVd%2BZwOosqN9hiL2ZiL8eigGFDSQrwBnMMtPnHSvHgQ4zE3DaucicG4S%2Fl9x3o2wCfeC8L69%2Bx4hf%2BeCUMtVdO5gHdRwigDmip0nR8dbAVVEvOvyDpPwnzcqvCf5oi3gKU%2BuAsqjQWWsvaPYLDS1fcEy9Jc6b0w1lie7Ajx%2F64uCjw9j54GGVd%2BcZmNbg4dQfZJo5NjInqJ5ZddmOBkfsHQEP4j6IQZxg5UFT9jnOX%2F%2FrX3Avne8mSHCP%2FzXTgrNq5xBm0BLwjXdtSB68AQXr3OfYNUfv9SaB2S0WD3nyhe71k0Ej5lhEk9gn%2ByPNkBwtes00r5592NMaYs4kO0120%2Fs48LDT7lnwEvGrsBPKNkk38IP6%2Bslwbf5L1ItliebB%2FBf02n3LfepGMmaXpwMm63%2Be2faOFDqpjwv94o3sjkz9Dl2z9R0Sq%2FESV1WQ%2Bu%2B817oexypeNNKxtNKd42xqBisVm4ttW2sgPnW3rGHPH%2FbSPWkZk1AhbYsEpJ1H5vwQmD51hvIvWo4L9%2BbkPUiRqGzqbFveLVPaj8rNwW681eQE7xl%2FHH4nXcY5z75xXU6716LBM8yXqU5X7vxXLc8mQfsvw%2FM9sStUmZZyFBCciUcVC5aUh7F1OQCwkKw118eY0zbAN40JZNJiKD5Sd1FRwMe471y6y2lv9ndZv9aU06ZCovDgl6TfFJY11t6dFLrKXehm0A421aZWXLT7LeHuy092Kx%2Flvd0vL%2FvM%2BmqM3KO5smPgqspPQc61V9VeoRx4jTnE8it1F6mmvTKq1%2F9Fg%2FU0ny5wbQ3KaoZxplWHlwUri%2BdUp9Yee6LL9qYj29wQ3A%2FA3AjU%2BAmjZFPQJmIb9d7qHwlPGuy2%2By%2BF3mtgB9Alh%2FbzPqE0DHQ8BWhm0A8fhdHFpSQPyUDq7LL4c4IuAzg64DO%2FAQMDV0vAY0r%2FiUPKD2Q7Hr5LG4rdqRn7xgaFODPtXs%2FCwtFTzJqGtA%2FQKBZsM8QlgqXmdL8VPmuy6%2FdILksIsNY2OM0dJ8G1Z5n%2BA5RgUCuRUK%2FJ1yKHBRmEhxcZipvMzmrRaeYVd%2BlcUa62aMjm5VDgX%2B2r%2BhwNaTgZ4V%2Fd9S4tAS08zpSkZG4LajVwTkJ610cAiZjdFRLyWbPCHMfTAqGci9dOBGCunAow0uN5ERu8XrvVv8qfGy6%2FLLJTgYThlDDfpUe1mso9OoL3yKUenAbhYEqYJtopf%2FboZXm2kpNq494sDgEHrivMvy6yl2kXwGbQFpyS%2F1sUWhIZ5RBUHcLQl2A56zVCU9EbMN%2Ffa%2F3Lg%2BEW8BsxSeUwxzcMFF%2BcWKG4dMMUpPV8svrVOa%2Fkiv8P%2BNKgnmflHQWNTHs5iKOamOmRiBVr7pOlNM9OuSMv6t9KSceAAjMdMl%2Bf1TuIYklDRMUxfll7pVTsUA1FW%2B35huUlFQlgV3lkHiDeCghjH18gThhVT9XxhVFpyNQZwlHr%2BKt4CPNDz7KCkOm6lG5f%2BJUY1BrB9YbKRmLVFP4aLpcQ3XMUG4hpVsHvsnRrUGY3NQ55mhUHm2jHaruBEnhKtoTNUDpjUH7Sq4puMOb40cOCjeAn4SJJtEir7CNay3VfHQLxjWHlzSHiojtWuRB5TKoOi2wSaIGruoFSPzH9ldKjWqwRdrQWrXIiHB7YpKwnWkaC9cwa9KpU78RTGBvGp7P92ygulWoGdbJr84oDaMs9pJOB3WC9fQKfCal1RWKq2DoXrX4dbfdFJ4B9ipXZ%2FkO4Ur2G5ctWCnaSqQVh7vp5sgmG4berXoM2CJwhawWrkptVtIw5sfC7jeOwpkFavDhK2n7falV4u4CccUtoC5SKfVKsoL579XKX7ePzwnSDPWgu0RbG4ZNNop1kTS6zVa2j60V6B1bj0TYKseE15tecJL6NHiz4D3lLaAleL2Xm5SRFhJ54CGMQ2Rw3qvqFV6TNh6w4nN9GgxObBXaQvYhnIarUIaFtw7wBq3%2FkatSf%2BLoYJYQEZ6yWmoWIfuNNpps4a8OC0sExbUoLEYQRLVID2m3Fmg2Lz0ZwXGKNeinaLNgdqLwpk%2FE1BdF45Ip2hHqS%2BYcnV6swJxyjWSw%2FhBk1Ib2YSBTYeRKZC6lkTW1tHliMf6lFvTm5UoKs6s%2B3ucQVctsgT6C%2BfdL5Ca7mReaH2sIHupP31ZkRbKG0AYYSzSIEIwozDH8XAgzwGGWJbPBX3yJqznfL1BT1bGXnPKA7jX8xVIq%2Br3CaCWZ5kWBQAAKy1P%2Bkv6sY03rS9sbQFhzBAXEXeW9MIrzYMBjAf41sQSezMEwYu8CFQnt0LrkMvHbvzT0xV0E873qYBpOFrQDGeqPtMeKFBpIfqxDSrgjM0tIIwZHhZRjxOWCNkXsLyA4gLZDNBn2m182Q5aT5rb3gDC2I8Wnt0LdBXO9clAaVdy1Hu%2FPtMuI5g27wHs8pQDW0AYC3GTR%2B8AO4QfLUGqDzBEIJlbdTqesp7s8Q492DbDHNkCTuJJTy6SHhHO8%2BEAafYDQVi9VsXTNlie%2BM%2F0X9uEHNoCwvgOlTz4udgumuOWANUJ3GpSX%2BBLsX57mYQEerAD9HRoC0jGa8gW4bk%2FLJxjUCpJZRLVgNaKPoKpl6f3OnQceMahTeAgOkb0elb6DrApIJfH1cy9IG0smHpH%2Bq5DVLQdF%2FD3%2BCqiG3MX4ezuC4Q%2BJVJpoNfU8wmmPpGe6xh5bEcHXvoxMClidYTisEs0t28D0VVqmkAimnWEDuEwm4R6QozNHIHLx1E8odzVXsbjwpk1CIAuNwsyO7TbEFcIfmmy0G8dpYWNZOGrx49oFIE5x2OPaFaf%2Bl6LNwqksUy%2F6b%2FELrAeUkSQRGJlLEYJ1%2BfcQzinSj7X4b8Eshir3%2FQlXeCG0GNd%2BKoe7egWcAGvuHwikEFYH2C%2BzzU4yuyLUUldoOX0V1dooFhBOK1xHL1d7TPUT3hIWdzX2vvK7JS6EPYL6tXG0FtdIYdiH4Fr9epr49otfGZh5yM%2Fl5NJwHnLctij552IxPQq0ldd24jbKfQVvl7AcD2XZjtENI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t=this;e.preventDefault(),this.initialX=this.currentX,this.initialY=this.currentY,this.active=!1,setTimeout((function(){t.dragging=!1,t.img.isDragging=!1,t.img.classList.remove("dragging")}),100)}},{key:"drag",value:function(e){this.active&&(e.preventDefault(),"touchmove"===e.type?(this.currentX=e.touches[0].clientX-this.initialX,this.currentY=e.touches[0].clientY-this.initialY):(this.currentX=e.clientX-this.initialX,this.currentY=e.clientY-this.initialY),this.xOffset=this.currentX,this.yOffset=this.currentY,this.img.isDragging=!0,this.dragging=!0,this.setTranslate(this.img,this.currentX,this.currentY))}},{key:"onMove",value:function(e){if(this.zoomedIn){var t=e.clientX-this.img.naturalWidth/2,i=e.clientY-this.img.naturalHeight/2;this.setTranslate(this.img,t,i)}}},{key:"setTranslate",value:function(e,t,i){e.style.transform="translate3d("+t+"px, "+i+"px, 0)"}},{key:"widowWidth",value:function(){return window.innerWidth||document.documentElement.clientWidth||document.body.clientWidth}}]),e}(),V=function(){function e(){var i=this,n=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};t(this,e);var s=n.dragEl,l=n.toleranceX,o=void 0===l?40:l,r=n.toleranceY,a=void 0===r?65:r,h=n.slide,d=void 0===h?null:h,c=n.instance,u=void 0===c?null:c;this.el=s,this.active=!1,this.dragging=!1,this.currentX=null,this.currentY=null,this.initialX=null,this.initialY=null,this.xOffset=0,this.yOffset=0,this.direction=null,this.lastDirection=null,this.toleranceX=o,this.toleranceY=a,this.toleranceReached=!1,this.dragContainer=this.el,this.slide=d,this.instance=u,this.el.addEventListener("mousedown",(function(e){return i.dragStart(e)}),!1),this.el.addEventListener("mouseup",(function(e){return i.dragEnd(e)}),!1),this.el.addEventListener("mousemove",(function(e){return i.drag(e)}),!1)}return n(e,[{key:"dragStart",value:function(e){if(this.slide.classList.contains("zoomed"))this.active=!1;else{"touchstart"===e.type?(this.initialX=e.touches[0].clientX-this.xOffset,this.initialY=e.touches[0].clientY-this.yOffset):(this.initialX=e.clientX-this.xOffset,this.initialY=e.clientY-this.yOffset);var t=e.target.nodeName.toLowerCase();e.target.classList.contains("nodrag")||u(e.target,".nodrag")||-1!==["input","select","textarea","button","a"].indexOf(t)?this.active=!1:(e.preventDefault(),(e.target===this.el||"img"!==t&&u(e.target,".gslide-inline"))&&(this.active=!0,this.el.classList.add("dragging"),this.dragContainer=u(e.target,".ginner-container")))}}},{key:"dragEnd",value:function(e){var t=this;e&&e.preventDefault(),this.initialX=0,this.initialY=0,this.currentX=null,this.currentY=null,this.initialX=null,this.initialY=null,this.xOffset=0,this.yOffset=0,this.active=!1,this.doSlideChange&&(this.instance.preventOutsideClick=!0,"right"==this.doSlideChange&&this.instance.prevSlide(),"left"==this.doSlideChange&&this.instance.nextSlide()),this.doSlideClose&&this.instance.close(),this.toleranceReached||this.setTranslate(this.dragContainer,0,0,!0),setTimeout((function(){t.instance.preventOutsideClick=!1,t.toleranceReached=!1,t.lastDirection=null,t.dragging=!1,t.el.isDragging=!1,t.el.classList.remove("dragging"),t.slide.classList.remove("dragging-nav"),t.dragContainer.style.transform="",t.dragContainer.style.transition=""}),100)}},{key:"drag",value:function(e){if(this.active){e.preventDefault(),this.slide.classList.add("dragging-nav"),"touchmove"===e.type?(this.currentX=e.touches[0].clientX-this.initialX,this.currentY=e.touches[0].clientY-this.initialY):(this.currentX=e.clientX-this.initialX,this.currentY=e.clientY-this.initialY),this.xOffset=this.currentX,this.yOffset=this.currentY,this.el.isDragging=!0,this.dragging=!0,this.doSlideChange=!1,this.doSlideClose=!1;var t=Math.abs(this.currentX),i=Math.abs(this.currentY);if(t>0&&t>=Math.abs(this.currentY)&&(!this.lastDirection||"x"==this.lastDirection)){this.yOffset=0,this.lastDirection="x",this.setTranslate(this.dragContainer,this.currentX,0);var n=this.shouldChange();if(!this.instance.settings.dragAutoSnap&&n&&(this.doSlideChange=n),this.instance.settings.dragAutoSnap&&n)return this.instance.preventOutsideClick=!0,this.toleranceReached=!0,this.active=!1,this.instance.preventOutsideClick=!0,this.dragEnd(null),"right"==n&&this.instance.prevSlide(),void("left"==n&&this.instance.nextSlide())}if(this.toleranceY>0&&i>0&&i>=t&&(!this.lastDirection||"y"==this.lastDirection)){this.xOffset=0,this.lastDirection="y",this.setTranslate(this.dragContainer,0,this.currentY);var s=this.shouldClose();return!this.instance.settings.dragAutoSnap&&s&&(this.doSlideClose=!0),void(this.instance.settings.dragAutoSnap&&s&&this.instance.close())}}}},{key:"shouldChange",value:function(){var e=!1;if(Math.abs(this.currentX)>=this.toleranceX){var t=this.currentX>0?"right":"left";("left"==t&&this.slide!==this.slide.parentNode.lastChild||"right"==t&&this.slide!==this.slide.parentNode.firstChild)&&(e=t)}return e}},{key:"shouldClose",value:function(){var e=!1;return Math.abs(this.currentY)>=this.toleranceY&&(e=!0),e}},{key:"setTranslate",value:function(e,t,i){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3];e.style.transition=n?"all .2s ease":"",e.style.transform="translate3d(".concat(t,"px, ").concat(i,"px, 0)")}}]),e}();function j(e,t,i,n){var s=e.querySelector(".gslide-media"),l=new Image,o="gSlideTitle_"+i,r="gSlideDesc_"+i;l.addEventListener("load",(function(){T(n)&&n()}),!1),l.src=t.href,""!=t.sizes&&""!=t.srcset&&(l.sizes=t.sizes,l.srcset=t.srcset),l.alt="",I(t.alt)||""===t.alt||(l.alt=t.alt),""!==t.title&&l.setAttribute("aria-labelledby",o),""!==t.description&&l.setAttribute("aria-describedby",r),t.hasOwnProperty("_hasCustomWidth")&&t._hasCustomWidth&&(l.style.width=t.width),t.hasOwnProperty("_hasCustomHeight")&&t._hasCustomHeight&&(l.style.height=t.height),s.insertBefore(l,s.firstChild)}function F(e,t,i,n){var s=this,l=e.querySelector(".ginner-container"),o="gvideo"+i,r=e.querySelector(".gslide-media"),a=this.getAllPlayers();h(l,"gvideo-container"),r.insertBefore(m('<div class="gvideo-wrapper"></div>'),r.firstChild);var d=e.querySelector(".gvideo-wrapper");S(this.settings.plyr.css,"Plyr");var c=t.href,u=null==t?void 0:t.videoProvider,g=!1;r.style.maxWidth=t.width,S(this.settings.plyr.js,"Plyr",(function(){if(!u&&c.match(/vimeo\.com\/([0-9]*)/)&&(u="vimeo"),!u&&(c.match(/(youtube\.com|youtube-nocookie\.com)\/watch\?v=([a-zA-Z0-9\-_]+)/)||c.match(/youtu\.be\/([a-zA-Z0-9\-_]+)/)||c.match(/(youtube\.com|youtube-nocookie\.com)\/embed\/([a-zA-Z0-9\-_]+)/))&&(u="youtube"),"local"===u||!u){u="local";var l='<video id="'+o+'" ';l+='style="background:#000; max-width: '.concat(t.width,';" '),l+='preload="metadata" ',l+='x-webkit-airplay="allow" ',l+="playsinline ",l+="controls ",l+='class="gvideo-local">',l+='<source src="'.concat(c,'">'),g=m(l+="</video>")}var r=g||m('<div id="'.concat(o,'" data-plyr-provider="').concat(u,'" data-plyr-embed-id="').concat(c,'"></div>'));h(d,"".concat(u,"-video gvideo")),d.appendChild(r),d.setAttribute("data-id",o),d.setAttribute("data-index",i);var v=O(s.settings.plyr,"config")?s.settings.plyr.config:{},f=new Plyr("#"+o,v);f.on("ready",(function(e){a[o]=e.detail.plyr,T(n)&&n()})),b((function(){return e.querySelector("iframe")&&"true"==e.querySelector("iframe").dataset.ready}),(function(){s.resize(e)})),f.on("enterfullscreen",R),f.on("exitfullscreen",R)}))}function R(e){var t=u(e.target,".gslide-media");"enterfullscreen"===e.type&&h(t,"fullscreen"),"exitfullscreen"===e.type&&d(t,"fullscreen")}function G(e,t,i,n){var s,l=this,o=e.querySelector(".gslide-media"),r=!(!O(t,"href")||!t.href)&&t.href.split("#").pop().trim(),d=!(!O(t,"content")||!t.content)&&t.content;if(d&&(C(d)&&(s=m('<div class="ginlined-content">'.concat(d,"</div>"))),k(d))){"none"==d.style.display&&(d.style.display="block");var c=document.createElement("div");c.className="ginlined-content",c.appendChild(d),s=c}if(r){var u=document.getElementById(r);if(!u)return!1;var g=u.cloneNode(!0);g.style.height=t.height,g.style.maxWidth=t.width,h(g,"ginlined-content"),s=g}if(!s)return console.error("Unable to append inline slide content",t),!1;o.style.height=t.height,o.style.width=t.width,o.appendChild(s),this.events["inlineclose"+r]=a("click",{onElement:o.querySelectorAll(".gtrigger-close"),withCallback:function(e){e.preventDefault(),l.close()}}),T(n)&&n()}function Z(e,t,i,n){var s=e.querySelector(".gslide-media"),l=function(e){var t=e.url,i=e.allow,n=e.callback,s=e.appendTo,l=document.createElement("iframe");return l.className="vimeo-video gvideo",l.src=t,l.style.width="100%",l.style.height="100%",i&&l.setAttribute("allow",i),l.onload=function(){l.onload=null,h(l,"node-ready"),T(n)&&n()},s&&s.appendChild(l),l}({url:t.href,callback:n});s.parentNode.style.maxWidth=t.width,s.parentNode.style.height=t.height,s.appendChild(l)}var U=function(){function e(){var i=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};t(this,e),this.defaults={href:"",sizes:"",srcset:"",title:"",type:"",videoProvider:"",description:"",alt:"",descPosition:"bottom",effect:"",width:"",height:"",content:!1,zoomable:!0,draggable:!0},L(i)&&(this.defaults=l(this.defaults,i))}return n(e,[{key:"sourceType",value:function(e){var t=e;if(null!==(e=e.toLowerCase()).match(/\.(jpeg|jpg|jpe|gif|png|apn|webp|avif|svg)/))return"image";if(e.match(/(youtube\.com|youtube-nocookie\.com)\/watch\?v=([a-zA-Z0-9\-_]+)/)||e.match(/youtu\.be\/([a-zA-Z0-9\-_]+)/)||e.match(/(youtube\.com|youtube-nocookie\.com)\/embed\/([a-zA-Z0-9\-_]+)/))return"video";if(e.match(/vimeo\.com\/([0-9]*)/))return"video";if(null!==e.match(/\.(mp4|ogg|webm|mov)/))return"video";if(null!==e.match(/\.(mp3|wav|wma|aac|ogg)/))return"audio";if(e.indexOf("#")>-1&&""!==t.split("#").pop().trim())return"inline";return e.indexOf("goajax=true")>-1?"ajax":"external"}},{key:"parseConfig",value:function(e,t){var i=this,n=l({descPosition:t.descPosition},this.defaults);if(L(e)&&!k(e)){O(e,"type")||(O(e,"content")&&e.content?e.type="inline":O(e,"href")&&(e.type=this.sourceType(e.href)));var s=l(n,e);return this.setSize(s,t),s}var r="",a=e.getAttribute("data-glightbox"),h=e.nodeName.toLowerCase();if("a"===h&&(r=e.href),"img"===h&&(r=e.src,n.alt=e.alt),n.href=r,o(n,(function(s,l){O(t,l)&&"width"!==l&&(n[l]=t[l]);var o=e.dataset[l];I(o)||(n[l]=i.sanitizeValue(o))})),n.content&&(n.type="inline"),!n.type&&r&&(n.type=this.sourceType(r)),I(a)){if(!n.title&&"a"==h){var d=e.title;I(d)||""===d||(n.title=d)}if(!n.title&&"img"==h){var c=e.alt;I(c)||""===c||(n.title=c)}}else{var u=[];o(n,(function(e,t){u.push(";\\s?"+t)})),u=u.join("\\s?:|"),""!==a.trim()&&o(n,(function(e,t){var s=a,l=new RegExp("s?"+t+"s?:s?(.*?)("+u+"s?:|$)"),o=s.match(l);if(o&&o.length&&o[1]){var r=o[1].trim().replace(/;\s*$/,"");n[t]=i.sanitizeValue(r)}}))}if(n.description&&"."===n.description.substring(0,1)){var g;try{g=document.querySelector(n.description).innerHTML}catch(e){if(!(e instanceof DOMException))throw e}g&&(n.description=g)}if(!n.description){var v=e.querySelector(".glightbox-desc");v&&(n.description=v.innerHTML)}return this.setSize(n,t,e),this.slideConfig=n,n}},{key:"setSize",value:function(e,t){var i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,n="video"==e.type?this.checkSize(t.videosWidth):this.checkSize(t.width),s=this.checkSize(t.height);return e.width=O(e,"width")&&""!==e.width?this.checkSize(e.width):n,e.height=O(e,"height")&&""!==e.height?this.checkSize(e.height):s,i&&"image"==e.type&&(e._hasCustomWidth=!!i.dataset.width,e._hasCustomHeight=!!i.dataset.height),e}},{key:"checkSize",value:function(e){return M(e)?"".concat(e,"px"):e}},{key:"sanitizeValue",value:function(e){return"true"!==e&&"false"!==e?e:"true"===e}}]),e}(),$=function(){function e(i,n,s){t(this,e),this.element=i,this.instance=n,this.index=s}return n(e,[{key:"setContent",value:function(){var e=this,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:null,i=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(c(t,"loaded"))return!1;var n=this.instance.settings,s=this.slideConfig,l=w();T(n.beforeSlideLoad)&&n.beforeSlideLoad({index:this.index,slide:t,player:!1});var o=s.type,r=s.descPosition,a=t.querySelector(".gslide-media"),d=t.querySelector(".gslide-title"),u=t.querySelector(".gslide-desc"),g=t.querySelector(".gdesc-inner"),v=i,f="gSlideTitle_"+this.index,p="gSlideDesc_"+this.index;if(T(n.afterSlideLoad)&&(v=function(){T(i)&&i(),n.afterSlideLoad({index:e.index,slide:t,player:e.instance.getSlidePlayerInstance(e.index)})}),""==s.title&&""==s.description?g&&g.parentNode.parentNode.removeChild(g.parentNode):(d&&""!==s.title?(d.id=f,d.innerHTML=s.title):d.parentNode.removeChild(d),u&&""!==s.description?(u.id=p,l&&n.moreLength>0?(s.smallDescription=this.slideShortDesc(s.description,n.moreLength,n.moreText),u.innerHTML=s.smallDescription,this.descriptionEvents(u,s)):u.innerHTML=s.description):u.parentNode.removeChild(u),h(a.parentNode,"desc-".concat(r)),h(g.parentNode,"description-".concat(r))),h(a,"gslide-".concat(o)),h(t,"loaded"),"video"!==o){if("external"!==o)return"inline"===o?(G.apply(this.instance,[t,s,this.index,v]),void(s.draggable&&new V({dragEl:t.querySelector(".gslide-inline"),toleranceX:n.dragToleranceX,toleranceY:n.dragToleranceY,slide:t,instance:this.instance}))):void("image"!==o?T(v)&&v():j(t,s,this.index,(function(){var i=t.querySelector("img");s.draggable&&new V({dragEl:i,toleranceX:n.dragToleranceX,toleranceY:n.dragToleranceY,slide:t,instance:e.instance}),s.zoomable&&i.naturalWidth>i.offsetWidth&&(h(i,"zoomable"),new H(i,t,(function(){e.instance.resize()}))),T(v)&&v()})));Z.apply(this,[t,s,this.index,v])}else F.apply(this.instance,[t,s,this.index,v])}},{key:"slideShortDesc",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:50,i=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=document.createElement("div");n.innerHTML=e;var s=n.innerText,l=i;if((e=s.trim()).length<=t)return e;var o=e.substr(0,t-1);return l?(n=null,o+'... <a href="#" class="desc-more">'+i+"</a>"):o}},{key:"descriptionEvents",value:function(e,t){var i=this,n=e.querySelector(".desc-more");if(!n)return!1;a("click",{onElement:n,withCallback:function(e,n){e.preventDefault();var s=document.body,l=u(n,".gslide-desc");if(!l)return!1;l.innerHTML=t.description,h(s,"gdesc-open");var o=a("click",{onElement:[s,u(l,".gslide-description")],withCallback:function(e,n){"a"!==e.target.nodeName.toLowerCase()&&(d(s,"gdesc-open"),h(s,"gdesc-closed"),l.innerHTML=t.smallDescription,i.descriptionEvents(l,t),setTimeout((function(){d(s,"gdesc-closed")}),400),o.destroy())}})}})}},{key:"create",value:function(){return m(this.instance.settings.slideHTML)}},{key:"getConfig",value:function(){k(this.element)||this.element.hasOwnProperty("draggable")||(this.element.draggable=this.instance.settings.draggable);var e=new U(this.instance.settings.slideExtraAttributes);return this.slideConfig=e.parseConfig(this.element,this.instance.settings),this.slideConfig}}]),e}(),J=w(),K=null!==w()||void 0!==document.createTouch||"ontouchstart"in window||"onmsgesturechange"in window||navigator.msMaxTouchPoints,Q=document.getElementsByTagName("html")[0],ee={selector:".glightbox",elements:null,skin:"clean",theme:"clean",closeButton:!0,startAt:null,autoplayVideos:!0,autofocusVideos:!0,descPosition:"bottom",width:"900px",height:"506px",videosWidth:"960px",beforeSlideChange:null,afterSlideChange:null,beforeSlideLoad:null,afterSlideLoad:null,slideInserted:null,slideRemoved:null,slideExtraAttributes:null,onOpen:null,onClose:null,loop:!1,zoomable:!0,draggable:!0,dragAutoSnap:!1,dragToleranceX:40,dragToleranceY:65,preload:!0,oneSlidePerOpen:!1,touchNavigation:!0,touchFollowAxis:!0,keyboardNavigation:!0,closeOnOutsideClick:!0,plugins:!1,plyr:{css:"https://cdn.plyr.io/3.6.12/plyr.css",js:"https://cdn.plyr.io/3.6.12/plyr.js",config:{ratio:"16:9",fullscreen:{enabled:!0,iosNative:!0},youtube:{noCookie:!0,rel:0,showinfo:0,iv_load_policy:3},vimeo:{byline:!1,portrait:!1,title:!1,transparent:!1}}},openEffect:"zoom",closeEffect:"zoom",slideEffect:"slide",moreText:"See more",moreLength:60,cssEfects:{fade:{in:"fadeIn",out:"fadeOut"},zoom:{in:"zoomIn",out:"zoomOut"},slide:{in:"slideInRight",out:"slideOutLeft"},slideBack:{in:"slideInLeft",out:"slideOutRight"},none:{in:"none",out:"none"}},svg:{close:'<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 512 512" xml:space="preserve"><g><g><path d="M505.943,6.058c-8.077-8.077-21.172-8.077-29.249,0L6.058,476.693c-8.077,8.077-8.077,21.172,0,29.249C10.096,509.982,15.39,512,20.683,512c5.293,0,10.586-2.019,14.625-6.059L505.943,35.306C514.019,27.23,514.019,14.135,505.943,6.058z"/></g></g><g><g><path d="M505.942,476.694L35.306,6.059c-8.076-8.077-21.172-8.077-29.248,0c-8.077,8.076-8.077,21.171,0,29.248l470.636,470.636c4.038,4.039,9.332,6.058,14.625,6.058c5.293,0,10.587-2.019,14.624-6.057C514.018,497.866,514.018,484.771,505.942,476.694z"/></g></g></svg>',next:'<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 477.175 477.175" xml:space="preserve"> <g><path d="M360.731,229.075l-225.1-225.1c-5.3-5.3-13.8-5.3-19.1,0s-5.3,13.8,0,19.1l215.5,215.5l-215.5,215.5c-5.3,5.3-5.3,13.8,0,19.1c2.6,2.6,6.1,4,9.5,4c3.4,0,6.9-1.3,9.5-4l225.1-225.1C365.931,242.875,365.931,234.275,360.731,229.075z"/></g></svg>',prev:'<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 477.175 477.175" xml:space="preserve"><g><path d="M145.188,238.575l215.5-215.5c5.3-5.3,5.3-13.8,0-19.1s-13.8-5.3-19.1,0l-225.1,225.1c-5.3,5.3-5.3,13.8,0,19.1l225.1,225c2.6,2.6,6.1,4,9.5,4s6.9-1.3,9.5-4c5.3-5.3,5.3-13.8,0-19.1L145.188,238.575z"/></g></svg>'},slideHTML:'<div class="gslide">\n    <div class="gslide-inner-content">\n        <div class="ginner-container">\n            <div class="gslide-media">\n            </div>\n            <div class="gslide-description">\n                <div class="gdesc-inner">\n                    <h4 class="gslide-title"></h4>\n                    <div class="gslide-desc"></div>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>',lightboxHTML:'<div id="glightbox-body" class="glightbox-container" tabindex="-1" role="dialog" aria-hidden="false">\n    <div class="gloader visible"></div>\n    <div class="goverlay"></div>\n    <div class="gcontainer">\n    <div id="glightbox-slider" class="gslider"></div>\n    <button class="gclose gbtn" aria-label="Close" data-taborder="3">{closeSVG}</button>\n    <button class="gprev gbtn" aria-label="Previous" data-taborder="2">{prevSVG}</button>\n    <button class="gnext gbtn" aria-label="Next" data-taborder="1">{nextSVG}</button>\n</div>\n</div>'},te=function(){function e(){var i=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};t(this,e),this.customOptions=i,this.settings=l(ee,i),this.effectsClasses=this.getAnimationClasses(),this.videoPlayers={},this.apiEvents=[],this.fullElementsList=!1}return n(e,[{key:"init",value:function(){var e=this,t=this.getSelector();t&&(this.baseEvents=a("click",{onElement:t,withCallback:function(t,i){t.preventDefault(),e.open(i)}})),this.elements=this.getElements()}},{key:"open",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:null,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null;if(0===this.elements.length)return!1;this.activeSlide=null,this.prevActiveSlideIndex=null,this.prevActiveSlide=null;var i=M(t)?t:this.settings.startAt;if(k(e)){var n=e.getAttribute("data-gallery");n&&(this.fullElementsList=this.elements,this.elements=this.getGalleryElements(this.elements,n)),I(i)&&(i=this.getElementIndex(e))<0&&(i=0)}M(i)||(i=0),this.build(),g(this.overlay,"none"===this.settings.openEffect?"none":this.settings.cssEfects.fade.in);var s=document.body,l=window.innerWidth-document.documentElement.clientWidth;if(l>0){var o=document.createElement("style");o.type="text/css",o.className="gcss-styles",o.innerText=".gscrollbar-fixer {margin-right: ".concat(l,"px}"),document.head.appendChild(o),h(s,"gscrollbar-fixer")}h(s,"glightbox-open"),h(Q,"glightbox-open"),J&&(h(document.body,"glightbox-mobile"),this.settings.slideEffect="slide"),this.showSlide(i,!0),1===this.elements.length?(h(this.prevButton,"glightbox-button-hidden"),h(this.nextButton,"glightbox-button-hidden")):(d(this.prevButton,"glightbox-button-hidden"),d(this.nextButton,"glightbox-button-hidden")),this.lightboxOpen=!0,this.trigger("open"),T(this.settings.onOpen)&&this.settings.onOpen(),K&&this.settings.touchNavigation&&B(this),this.settings.keyboardNavigation&&X(this)}},{key:"openAt",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:0;this.open(null,e)}},{key:"showSlide",value:function(){var e=this,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:0,i=arguments.length>1&&void 0!==arguments[1]&&arguments[1];f(this.loader),this.index=parseInt(t);var n=this.slidesContainer.querySelector(".current");n&&d(n,"current"),this.slideAnimateOut();var s=this.slidesContainer.querySelectorAll(".gslide")[t];if(c(s,"loaded"))this.slideAnimateIn(s,i),p(this.loader);else{f(this.loader);var l=this.elements[t],o={index:this.index,slide:s,slideNode:s,slideConfig:l.slideConfig,slideIndex:this.index,trigger:l.node,player:null};this.trigger("slide_before_load",o),l.instance.setContent(s,(function(){p(e.loader),e.resize(),e.slideAnimateIn(s,i),e.trigger("slide_after_load",o)}))}this.slideDescription=s.querySelector(".gslide-description"),this.slideDescriptionContained=this.slideDescription&&c(this.slideDescription.parentNode,"gslide-media"),this.settings.preload&&(this.preloadSlide(t+1),this.preloadSlide(t-1)),this.updateNavigationClasses(),this.activeSlide=s}},{key:"preloadSlide",value:function(e){var t=this;if(e<0||e>this.elements.length-1)return!1;if(I(this.elements[e]))return!1;var i=this.slidesContainer.querySelectorAll(".gslide")[e];if(c(i,"loaded"))return!1;var n=this.elements[e],s=n.type,l={index:e,slide:i,slideNode:i,slideConfig:n.slideConfig,slideIndex:e,trigger:n.node,player:null};this.trigger("slide_before_load",l),"video"===s||"external"===s?setTimeout((function(){n.instance.setContent(i,(function(){t.trigger("slide_after_load",l)}))}),200):n.instance.setContent(i,(function(){t.trigger("slide_after_load",l)}))}},{key:"prevSlide",value:function(){this.goToSlide(this.index-1)}},{key:"nextSlide",value:function(){this.goToSlide(this.index+1)}},{key:"goToSlide",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];if(this.prevActiveSlide=this.activeSlide,this.prevActiveSlideIndex=this.index,!this.loop()&&(e<0||e>this.elements.length-1))return!1;e<0?e=this.elements.length-1:e>=this.elements.length&&(e=0),this.showSlide(e)}},{key:"insertSlide",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1;t<0&&(t=this.elements.length);var i=new $(e,this,t),n=i.getConfig(),s=l({},n),o=i.create(),r=this.elements.length-1;s.index=t,s.node=!1,s.instance=i,s.slideConfig=n,this.elements.splice(t,0,s);var a=null,h=null;if(this.slidesContainer){if(t>r)this.slidesContainer.appendChild(o);else{var d=this.slidesContainer.querySelectorAll(".gslide")[t];this.slidesContainer.insertBefore(o,d)}(this.settings.preload&&0==this.index&&0==t||this.index-1==t||this.index+1==t)&&this.preloadSlide(t),0===this.index&&0===t&&(this.index=1),this.updateNavigationClasses(),a=this.slidesContainer.querySelectorAll(".gslide")[t],h=this.getSlidePlayerInstance(t),s.slideNode=a}this.trigger("slide_inserted",{index:t,slide:a,slideNode:a,slideConfig:n,slideIndex:t,trigger:null,player:h}),T(this.settings.slideInserted)&&this.settings.slideInserted({index:t,slide:a,player:h})}},{key:"removeSlide",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:-1;if(e<0||e>this.elements.length-1)return!1;var t=this.slidesContainer&&this.slidesContainer.querySelectorAll(".gslide")[e];t&&(this.getActiveSlideIndex()==e&&(e==this.elements.length-1?this.prevSlide():this.nextSlide()),t.parentNode.removeChild(t)),this.elements.splice(e,1),this.trigger("slide_removed",e),T(this.settings.slideRemoved)&&this.settings.slideRemoved(e)}},{key:"slideAnimateIn",value:function(e,t){var i=this,n=e.querySelector(".gslide-media"),s=e.querySelector(".gslide-description"),l={index:this.prevActiveSlideIndex,slide:this.prevActiveSlide,slideNode:this.prevActiveSlide,slideIndex:this.prevActiveSlide,slideConfig:I(this.prevActiveSlideIndex)?null:this.elements[this.prevActiveSlideIndex].slideConfig,trigger:I(this.prevActiveSlideIndex)?null:this.elements[this.prevActiveSlideIndex].node,player:this.getSlidePlayerInstance(this.prevActiveSlideIndex)},o={index:this.index,slide:this.activeSlide,slideNode:this.activeSlide,slideConfig:this.elements[this.index].slideConfig,slideIndex:this.index,trigger:this.elements[this.index].node,player:this.getSlidePlayerInstance(this.index)};if(n.offsetWidth>0&&s&&(p(s),s.style.display=""),d(e,this.effectsClasses),t)g(e,this.settings.cssEfects[this.settings.openEffect].in,(function(){i.settings.autoplayVideos&&i.slidePlayerPlay(e),i.trigger("slide_changed",{prev:l,current:o}),T(i.settings.afterSlideChange)&&i.settings.afterSlideChange.apply(i,[l,o])}));else{var r=this.settings.slideEffect,a="none"!==r?this.settings.cssEfects[r].in:r;this.prevActiveSlideIndex>this.index&&"slide"==this.settings.slideEffect&&(a=this.settings.cssEfects.slideBack.in),g(e,a,(function(){i.settings.autoplayVideos&&i.slidePlayerPlay(e),i.trigger("slide_changed",{prev:l,current:o}),T(i.settings.afterSlideChange)&&i.settings.afterSlideChange.apply(i,[l,o])}))}setTimeout((function(){i.resize(e)}),100),h(e,"current")}},{key:"slideAnimateOut",value:function(){if(!this.prevActiveSlide)return!1;var e=this.prevActiveSlide;d(e,this.effectsClasses),h(e,"prev");var t=this.settings.slideEffect,i="none"!==t?this.settings.cssEfects[t].out:t;this.slidePlayerPause(e),this.trigger("slide_before_change",{prev:{index:this.prevActiveSlideIndex,slide:this.prevActiveSlide,slideNode:this.prevActiveSlide,slideIndex:this.prevActiveSlideIndex,slideConfig:I(this.prevActiveSlideIndex)?null:this.elements[this.prevActiveSlideIndex].slideConfig,trigger:I(this.prevActiveSlideIndex)?null:this.elements[this.prevActiveSlideIndex].node,player:this.getSlidePlayerInstance(this.prevActiveSlideIndex)},current:{index:this.index,slide:this.activeSlide,slideNode:this.activeSlide,slideIndex:this.index,slideConfig:this.elements[this.index].slideConfig,trigger:this.elements[this.index].node,player:this.getSlidePlayerInstance(this.index)}}),T(this.settings.beforeSlideChange)&&this.settings.beforeSlideChange.apply(this,[{index:this.prevActiveSlideIndex,slide:this.prevActiveSlide,player:this.getSlidePlayerInstance(this.prevActiveSlideIndex)},{index:this.index,slide:this.activeSlide,player:this.getSlidePlayerInstance(this.index)}]),this.prevActiveSlideIndex>this.index&&"slide"==this.settings.slideEffect&&(i=this.settings.cssEfects.slideBack.out),g(e,i,(function(){var t=e.querySelector(".ginner-container"),i=e.querySelector(".gslide-media"),n=e.querySelector(".gslide-description");t.style.transform="",i.style.transform="",d(i,"greset"),i.style.opacity="",n&&(n.style.opacity=""),d(e,"prev")}))}},{key:"getAllPlayers",value:function(){return this.videoPlayers}},{key:"getSlidePlayerInstance",value:function(e){var t="gvideo"+e,i=this.getAllPlayers();return!(!O(i,t)||!i[t])&&i[t]}},{key:"stopSlideVideo",value:function(e){if(k(e)){var t=e.querySelector(".gvideo-wrapper");t&&(e=t.getAttribute("data-index"))}console.log("stopSlideVideo is deprecated, use slidePlayerPause");var i=this.getSlidePlayerInstance(e);i&&i.playing&&i.pause()}},{key:"slidePlayerPause",value:function(e){if(k(e)){var t=e.querySelector(".gvideo-wrapper");t&&(e=t.getAttribute("data-index"))}var i=this.getSlidePlayerInstance(e);i&&i.playing&&i.pause()}},{key:"playSlideVideo",value:function(e){if(k(e)){var t=e.querySelector(".gvideo-wrapper");t&&(e=t.getAttribute("data-index"))}console.log("playSlideVideo is deprecated, use slidePlayerPlay");var i=this.getSlidePlayerInstance(e);i&&!i.playing&&i.play()}},{key:"slidePlayerPlay",value:function(e){var t;if(!J||null!==(t=this.settings.plyr.config)&&void 0!==t&&t.muted){if(k(e)){var i=e.querySelector(".gvideo-wrapper");i&&(e=i.getAttribute("data-index"))}var n=this.getSlidePlayerInstance(e);n&&!n.playing&&(n.play(),this.settings.autofocusVideos&&n.elements.container.focus())}}},{key:"setElements",value:function(e){var t=this;this.settings.elements=!1;var i=[];e&&e.length&&o(e,(function(e,n){var s=new $(e,t,n),o=s.getConfig(),r=l({},o);r.slideConfig=o,r.instance=s,r.index=n,i.push(r)})),this.elements=i,this.lightboxOpen&&(this.slidesContainer.innerHTML="",this.elements.length&&(o(this.elements,(function(){var e=m(t.settings.slideHTML);t.slidesContainer.appendChild(e)})),this.showSlide(0,!0)))}},{key:"getElementIndex",value:function(e){var t=!1;return o(this.elements,(function(i,n){if(O(i,"node")&&i.node==e)return t=n,!0})),t}},{key:"getElements",value:function(){var e=this,t=[];this.elements=this.elements?this.elements:[],!I(this.settings.elements)&&E(this.settings.elements)&&this.settings.elements.length&&o(this.settings.elements,(function(i,n){var s=new $(i,e,n),o=s.getConfig(),r=l({},o);r.node=!1,r.index=n,r.instance=s,r.slideConfig=o,t.push(r)}));var i=!1;return this.getSelector()&&(i=document.querySelectorAll(this.getSelector())),i?(o(i,(function(i,n){var s=new $(i,e,n),o=s.getConfig(),r=l({},o);r.node=i,r.index=n,r.instance=s,r.slideConfig=o,r.gallery=i.getAttribute("data-gallery"),t.push(r)})),t):t}},{key:"getGalleryElements",value:function(e,t){return e.filter((function(e){return e.gallery==t}))}},{key:"getSelector",value:function(){return!this.settings.elements&&(this.settings.selector&&"data-"==this.settings.selector.substring(0,5)?"*[".concat(this.settings.selector,"]"):this.settings.selector)}},{key:"getActiveSlide",value:function(){return this.slidesContainer.querySelectorAll(".gslide")[this.index]}},{key:"getActiveSlideIndex",value:function(){return this.index}},{key:"getAnimationClasses",value:function(){var e=[];for(var t in this.settings.cssEfects)if(this.settings.cssEfects.hasOwnProperty(t)){var i=this.settings.cssEfects[t];e.push("g".concat(i.in)),e.push("g".concat(i.out))}return e.join(" ")}},{key:"build",value:function(){var e=this;if(this.built)return!1;var t=document.body.childNodes,i=[];o(t,(function(e){e.parentNode==document.body&&"#"!==e.nodeName.charAt(0)&&e.hasAttribute&&!e.hasAttribute("aria-hidden")&&(i.push(e),e.setAttribute("aria-hidden","true"))}));var n=O(this.settings.svg,"next")?this.settings.svg.next:"",s=O(this.settings.svg,"prev")?this.settings.svg.prev:"",l=O(this.settings.svg,"close")?this.settings.svg.close:"",r=this.settings.lightboxHTML;r=m(r=(r=(r=r.replace(/{nextSVG}/g,n)).replace(/{prevSVG}/g,s)).replace(/{closeSVG}/g,l)),document.body.appendChild(r);var d=document.getElementById("glightbox-body");this.modal=d;var g=d.querySelector(".gclose");this.prevButton=d.querySelector(".gprev"),this.nextButton=d.querySelector(".gnext"),this.overlay=d.querySelector(".goverlay"),this.loader=d.querySelector(".gloader"),this.slidesContainer=document.getElementById("glightbox-slider"),this.bodyHiddenChildElms=i,this.events={},h(this.modal,"glightbox-"+this.settings.skin),this.settings.closeButton&&g&&(this.events.close=a("click",{onElement:g,withCallback:function(t,i){t.preventDefault(),e.close()}})),g&&!this.settings.closeButton&&g.parentNode.removeChild(g),this.nextButton&&(this.events.next=a("click",{onElement:this.nextButton,withCallback:function(t,i){t.preventDefault(),e.nextSlide()}})),this.prevButton&&(this.events.prev=a("click",{onElement:this.prevButton,withCallback:function(t,i){t.preventDefault(),e.prevSlide()}})),this.settings.closeOnOutsideClick&&(this.events.outClose=a("click",{onElement:d,withCallback:function(t,i){e.preventOutsideClick||c(document.body,"glightbox-mobile")||u(t.target,".ginner-container")||u(t.target,".gbtn")||c(t.target,"gnext")||c(t.target,"gprev")||e.close()}})),o(this.elements,(function(t,i){e.slidesContainer.appendChild(t.instance.create()),t.slideNode=e.slidesContainer.querySelectorAll(".gslide")[i]})),K&&h(document.body,"glightbox-touch"),this.events.resize=a("resize",{onElement:window,withCallback:function(){e.resize()}}),this.built=!0}},{key:"resize",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:null;if((e=e||this.activeSlide)&&!c(e,"zoomed")){var t=y(),i=e.querySelector(".gvideo-wrapper"),n=e.querySelector(".gslide-image"),s=this.slideDescription,l=t.width,o=t.height;if(l<=768?h(document.body,"glightbox-mobile"):d(document.body,"glightbox-mobile"),i||n){var r=!1;if(s&&(c(s,"description-bottom")||c(s,"description-top"))&&!c(s,"gabsolute")&&(r=!0),n)if(l<=768)n.querySelector("img");else if(r){var a=s.offsetHeight,u=n.querySelector("img");u.setAttribute("style","max-height: calc(100vh - ".concat(a,"px)")),s.setAttribute("style","max-width: ".concat(u.offsetWidth,"px;"))}if(i){var g=O(this.settings.plyr.config,"ratio")?this.settings.plyr.config.ratio:"";if(!g){var v=i.clientWidth,f=i.clientHeight,p=v/f;g="".concat(v/p,":").concat(f/p)}var m=g.split(":"),x=this.settings.videosWidth,b=this.settings.videosWidth,S=(b=M(x)||-1!==x.indexOf("px")?parseInt(x):-1!==x.indexOf("vw")?l*parseInt(x)/100:-1!==x.indexOf("vh")?o*parseInt(x)/100:-1!==x.indexOf("%")?l*parseInt(x)/100:parseInt(i.clientWidth))/(parseInt(m[0])/parseInt(m[1]));if(S=Math.floor(S),r&&(o-=s.offsetHeight),b>l||S>o||o<S&&l>b){var w=i.offsetWidth,T=i.offsetHeight,C=o/T,k={width:w*C,height:T*C};i.parentNode.setAttribute("style","max-width: ".concat(k.width,"px")),r&&s.setAttribute("style","max-width: ".concat(k.width,"px;"))}else i.parentNode.style.maxWidth="".concat(x),r&&s.setAttribute("style","max-width: ".concat(x,";"))}}}}},{key:"reload",value:function(){this.init()}},{key:"updateNavigationClasses",value:function(){var e=this.loop();d(this.nextButton,"disabled"),d(this.prevButton,"disabled"),0==this.index&&this.elements.length-1==0?(h(this.prevButton,"disabled"),h(this.nextButton,"disabled")):0!==this.index||e?this.index!==this.elements.length-1||e||h(this.nextButton,"disabled"):h(this.prevButton,"disabled")}},{key:"loop",value:function(){var e=O(this.settings,"loopAtEnd")?this.settings.loopAtEnd:null;return e=O(this.settings,"loop")?this.settings.loop:e,e}},{key:"close",value:function(){var e=this;if(!this.lightboxOpen){if(this.events){for(var t in this.events)this.events.hasOwnProperty(t)&&this.events[t].destroy();this.events=null}return!1}if(this.closing)return!1;this.closing=!0,this.slidePlayerPause(this.activeSlide),this.fullElementsList&&(this.elements=this.fullElementsList),this.bodyHiddenChildElms.length&&o(this.bodyHiddenChildElms,(function(e){e.removeAttribute("aria-hidden")})),h(this.modal,"glightbox-closing"),g(this.overlay,"none"==this.settings.openEffect?"none":this.settings.cssEfects.fade.out),g(this.activeSlide,this.settings.cssEfects[this.settings.closeEffect].out,(function(){if(e.activeSlide=null,e.prevActiveSlideIndex=null,e.prevActiveSlide=null,e.built=!1,e.events){for(var t in e.events)e.events.hasOwnProperty(t)&&e.events[t].destroy();e.events=null}var i=document.body;d(Q,"glightbox-open"),d(i,"glightbox-open touching gdesc-open glightbox-touch glightbox-mobile gscrollbar-fixer"),e.modal.parentNode.removeChild(e.modal),e.trigger("close"),T(e.settings.onClose)&&e.settings.onClose();var n=document.querySelector(".gcss-styles");n&&n.parentNode.removeChild(n),e.lightboxOpen=!1,e.closing=null}))}},{key:"destroy",value:function(){this.close(),this.clearAllEvents(),this.baseEvents&&this.baseEvents.destroy()}},{key:"on",value:function(e,t){var i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];if(!e||!T(t))throw new TypeError("Event name and callback must be defined");this.apiEvents.push({evt:e,once:i,callback:t})}},{key:"once",value:function(e,t){this.on(e,t,!0)}},{key:"trigger",value:function(e){var t=this,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null,n=[];o(this.apiEvents,(function(t,s){var l=t.evt,o=t.once,r=t.callback;l==e&&(r(i),o&&n.push(s))})),n.length&&o(n,(function(e){return t.apiEvents.splice(e,1)}))}},{key:"clearAllEvents",value:function(){this.apiEvents.splice(0,this.apiEvents.length)}},{key:"version",value:function(){return"3.1.0"}}]),e}();return function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},t=new te(e);return t.init(),t}}));</script>
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DAwIiwgIjJuIjogIjAgMTkzOSAwIDI1LTQwIFwiIFwiIDE1LTQwIiwgIjJvIjogIkZhaXIgdXAgdG8gJDMwIEZhaXIgdXAgdG8gJDMwIHBlciB1bml0IiwgIjJtIjogIigrKTE4ICgrKTE2IDE1LTQwIDI1LTQwIFwiIFwiIiwgIjJrIjogIkRvd253YXJkIFN0YWJsZSBpbiBsb3dlciAmIGRvd253YXJkIGluIHVwcGVyIGJyYWNrZXQiLCAiMmUiOiAiOTclIDk1JSIsICIyZiI6ICI0MCUgNDAlIiwgIjJwIjogIlN0YWJsZSBTdGFibGUiLCAiMWUiOiAiTm9uZSIsICI0YiI6ICI0MSIsICIxYSI6ICIgWWVzICIsICIyYiI6ICJGcmFtZSBGcmFtZSIsICIyaSI6ICIxOTM5ICozNTAwLTUwMDAgKCpOb21pbmFsKSAoLSkxNSAoLSkxNCAxMDAwLTUwMDAqICgqTm9taW5hbCkiLCAiMmoiOiAiUG9vciB1cCB0byAkMjAwMCBvbiAybmQgaGFuZCBOb25lIiwgIjRhIjogIjE4IGF0ICQ2LDk5MiIsICIyYSI6ICJOb3JtYWwgc2l6ZWQgMi1mYW1pbHksIDIgMVwvMiBzdG9yaWVzLCA0LTUgcm1zLiBwZXIgdW5pdCBTbWFsbCAmIGZhaXItc2l6ZWQsIDEtZmFtLiAyIC0gMiAxXC8yIHN0b3JpZXMsIDYtOCByb29tcyIsICIyZCI6ICJGYWlyIHRvIHBvb3IgRmFpciB0byBwb29yLCBNYW55IG5lZWQgcGFpbnQiIH0HAAcAAAAjREIyQjI3CAA9AAAAFAAMAAAAAAAAAAAAAAAAAAcACAAUAAAAAAAABgQAAAABAAAAGAAAAAAAEgAMAAAACAAAAAAAAAAAAAcAEgAAAAAAAAMEAAAALAAAABpuwOeHZVPA3LqbpzqSRUADsWzmkGVTwACRfvs6kkVAAvG6fsFlU8CNmNnnMZJFQFMDzefcZVPAbF7VWS2SRUCjrUoi+2VTwD0Og/krkkVA3BK54AxmU8DRI0bPLZJFQJp3nKIjZlPAPPceLjmSRUBcrKjBNGZTwDwUBfpEkkVABp/m5EVmU8AFiIIZU5JFQLCRJAhXZlPAn+V5cHeSRUADl8eakWZTwGR3gZICk0VA3lhQGJRmU8CnH9RFCpNFQJgXYB+dZlPAk+S5vg+TRUAZkSi0rGZTwOqT3GETk0VAEqPnFrpmU8BWfhmMEZNFQKGA7WDEZlPAT1lN1xOTRUAQJO8cymZTwCAJ+3YSk0VAPQ/uztpmU8CWCiqqfpNFQDOmYI2zZlPAKT3TS4yTRUCMhoxHqWZTwJ4GDJI+k0VAE0NyMnFmU8Bbe5+qQpNFQBpuwOeHZVPA3LqbpzqSRUA=" id="Redlining_grade-1-attachment" rel="attachment">
 <style type="text/css">.leaflet-bar button {
 background-color: rgba(255,255,255, 0.95) ;
 border: none;
@@ -11857,7 +11857,7 @@
       </div> <!-- /container-fluid -->
     </nav></header><!-- content --><div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-full page-navbar">
 <!-- sidebar -->
-  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto"><nav id="TOC" role="doc-toc" class="toc-active"><h2 id="toc-title">Contents</h2>
+  <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation floating overflow-auto"><nav id="TOC" role="doc-toc" class="toc-active" data-toc-expanded="3"><h2 id="toc-title">Contents</h2>
    
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 <p><strong>The Building Blocks of An Inclusive Recovery and Equitable Economy</strong></p>
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-<figure class="figure"><p><a href="../www/images/building-blocks.png" class="lightbox" data-gallery="quarto-lightbox-gallery-2" data-glightbox="description: .lightbox-desc-2" title="Source: Adapted from Poethig et al 2018 in collaboration with community stakeholders across the country"><img 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N5j3Plsfn6+zWZzr88WXJ8HiUSSlJTUuWJbKMM2Gj1+UahU+MEEgG46PEjX5Q5+SEvJ+V0UBuamDKu7x/Hb/YKdH5xrK11HjMF1fgAAAAgckt9osuZo0zunz0fv+O8uaXqHEIS/cMVirUe5vWgp5b0CYV+PYt+w8351qYpSLGKtu3669LFGXGsCl6NreIQQaYb38FjDc7xV9bqfh8BPRHcPZnWV1LhjvHNNKZewDX/ivDdKQmlMDBCBlEolt9Vvc3MzTdO+6mcTExMTExNzcnIIITabzWaz0TRts9na29t5RbjkpzTWXY3rXgXOz3JtPcVLftHkFwB89W0ghFDJcf77NlDyOHR+AACA/oXkN2p8oD8f1bGv290lTcVyCdo+wBXK7llyq7glOoatXEC40aq9nERS8staj3hcYilmCz1mb38O0WVlnSaKn/zO9Uh+Lf9E8guxJzk5mbuYm8FgcGe7/rlT4H4ZMMMwvNXnUlNTcR4Brliso91XxS4hRDz16gArdt2dH+jfF3tXDbs7P8Q9cv2QP0/xrhoGAAAIHZLf6EAzl1cfN8fGsaw63HT8zgycU7gSrx+s+zm/fRXdV85KM4j02l4flvNr/yWrlGIKK1Z0Viuz1v2R1fDB7tmeQnmHwGNckdckR6oiMm1X/w26nLgc/KbPAFFOo9Fwg9QzZ84Ekvz2o9raWu5NtVodRKdgAIgNlyqbBLv0/vgx3sMuvQNzUxLK7vLVKbj9pS8vV5/jdQoGAAAICyS/0WHnl83N7Ze9tyfFDViWOSw+bkAEjvlbB7Pv6xbvYZ9pYT7Qn0fPB7jiOM3cgJVKmNHtMyjlEkq9orfHxTZs4RafCo8kYUZXRwVnfUQ1pWXtRznXYRkeK9QJf+4piCy314flOt9tC2ZKcRvLeQxrr8I6bxBj3GusdTZ8cDgcBoNBo9FE5mgZhtHpdNwtETtUAOhtoXR48Pm5L4+TvzPLOfFU67ISgS8OR75vmbZryObpcXOzMP8AABBGSH6jw846gT4PeQrpv2ZfK5MMiNhhrxzL3PNRY4XVydu+uw7Jb4xwOBwmkykjA0Xc3WNpz7rahJuiafQJN3EbPrB0PRUhyS8/T5/S/VNkuaKc93r9dNur2Jqbu5vV8R436VqC5DcwlZWVubm5mIeokJ2dXV1d3Xnz1KlTERun1tbWdobUhBC5XI5WD8BVX1+fnJwsl+OPM2L9C5vfDg8D56XKNt0aypps0qWjxdoUwfXiWFM7fUfRpUe+RecHXE8BAIQRkt8oYHYwZ1oY3sa0eEmEx76EEJVc8q/Z1+btrOdV/n78XStOa2yoq6vbuHHjnj17MBXdoz3+iJhKyIumwctG8o8lMjJK1mnyHOeoKJpUKmEsyz0W+wmKrMAPSiDy8vJYlsU8RIWsrCydTsct+62pqYnAng80TfMKfkePHo3TB1xr1qxZvXo1/tkptjElZ+m7inx1eBj8av6gVdowXIFnXBVI5wecDlxPAYTCZD3/6u7iBktz4E+54bqfLfufyckKVOnFGiS/UcBMX/LeuDp3eITHvm4yyYBlmcNe+oLfZLPa3Ip13uDKQus8fzbSo2jsvIySfyz9yP6556yOjLJ3BbfVr+s8fkog9kgkEl7Zr06n02g0MpksosZZUVHBK/hFqweAK03r+mPOtZXCX4SS4+SFcwfmpoTtm9VPnR/anjzuHTS7jnx/IXM7zggABM3RdnHCA8+do9t69KwPT9W9/dGJ/25dJx88CHMYS0SYgij4oRXq8HuNPGqWHJnx83icRADWxfmbPpk2+g5AmiF8LJGEShgbZbMq5vyLend9gQGiVFZWFnedNIZhysrKImqEBoOBuxIdQcEvwBWmw9RyYdoOX7HvwHmpw+ruCWPs2/Xdauno+MOLxFOvxikAgPCqbzT1NPZ1O0e3HT6pwwTGGCS/UeB0s9N7IwpmAaKM8+uu/xcH9Bc0bMOfWN0K1nKAuBzhH4/LwVoOsLoV3S7v9tPVybVd/09XRsiksvYTUf2moBIm4CcDYp5EIhkzZgx3i9lsrqmpiZDh2Wy28nKPf3dRqVQo+AW4cjAlZ+25211Hvhe8d/Cr+fF7FvRe111xxlXx+xfEPXI9TgQARIhvz9kwCTEG3R4AAPoEdyEy8dAAn8RadxHrLpYQSrGIKG6lFFOJ2GNtGbZhi5/0k0qYQKk9W8e6HKz1CLF+xHJWbOsxlzUSZ1ga2MoYdCWrWyE4meFB61nLf1jr/qDeJGYSIUvnAYRVVlZWY2Oj2Wzu3FJdXZ2YmNjvS6i5C5C5fR4IIePHj8cpA7hC+OnwILphqOztgt4o9eV/W5PHyV68ZeCEn7WuLPHVYhgAoEfGjbxuQlrqiTNGTAUQJL8AAP1Alu3z279ikWAmKxgBsw1b/FfssvZiQgilXhFg4EspFvm8S3a9e2+Ri1uVzP+sU3Sl1S5r93m69Six7PbV1IJKmEClLOGnxp2BLyfi7ynWaaKQ/EKMmjhxYmFhITdjLS0tnTlzZmJiYn8NiWGY4uLi5maPlU+0Wm0/DgkA+oyr/ofW+z/yVeorWZ4ue/mW3iv19RY3N2tA1lV+htT24HFqaJx0KXrRAEBAPv7r6sNVutpvvuNt//Zc8+biE5ifKwqSXwCACEJlbmTLD/kpquWmlix9qtsdspYdhNYFVOErVlCZG33fG8UNu6mUhwQjcuE83V7F6u7wN6X2YuL8lsrcQEhgga80I/oaEAOEm0wm02q1paWlnVsYhikqKuqv8Fcw9lWr1VlZWThZADGvfV+tnwLbIdum90vA6u780PZKua8y5NZlJZfKvu3jSBoAote0sdnTxnqUHB2u0r209xBm5kqD5BcAIKJ+K8uJLJcEUF0baLsGZz0bYBWqLNdf9wPnt9E7qZR6BWv90M8Sah55egDr17GWN4l4aIAVvlTmZryvAQghGo3GZrPpdF3LhrjD3xkzZiiVyr4ciWDsm5SUlJ+fj9MEENtYR3vr/x1tf+lLwXtFNwyVvz9HnHFVv31jkccNeWrywJtS6LuKBINpZqvefvL7/h0kAESp57YXPrvnE8zDFQgrvAFA8DIzM5999lnMQ4+vOnqyLhmV8ligHWx7RJpBpTzWgzE7I75LFHcNPe9pVNwW0GFad5HAmlqwTS8E2Ngh8IJflAYHqKKiApMQpfLy8tLT07lb3OGvwWDoszHYbDbv2FcikUycOFEikeAcgS/PPvtsZmYm5iGquep/aJm921fsK1menlB2VyiJavu+2oubyt3/XapsCno/kunXJVQuFU+9WvDeji8uXMjc7tx+CicU11MAAXK0XVy49m+Cse/Kgglr5t+MKYptqPkFgODJ5fKMjAzMQ0BkWj81p35QmscpzePddxVIKBDlvPfjJUHNnT7jS2kGpZhNKe8gsnTiji+DO5bIQImHsp03etJgl0p5LMSevD4+VBWUYh5rPxronqO5krof5ebmYhKil7uuVq/XczeWlpYajcb8/Pzezl4NBkN5eTlvSTeJRNK/HYchKuALT7Tz0+GBSo4b/Fx+KB0eWEc7/fBBZqvHbzbputwhT00Oboei5Pihh5f4WYAOnR9wPQUQoJOnz/5q3Rvn6Dbvu95YsXBJwaTNew5ilmIbkl8AgL75dTus6//9VqcKk6UHGgEL8gx8g0FXCh9L/5JlE25LZJfDX8MK7jVewJMpmmL78aLOz3p6YgWlmEcUt1CKKYQQtubOAM+ORyW1WIGfEohhDMMYjUaapgkhMplMIpHw4teGhobm5ua0tLTeG4PZbDabzd7bk5OTjUaj0WgkhKSmpiICBogxgrFs18fv1KuHvH5rKKW+lyqbHHP2eWfKzrWVriNG+c7ZouQgF0tA5wcACNHmPQdXbz/gvX2kSvHemnszRiRjiq6IKAJTAADQByhpanDVqXycCLhDt7T7XUkzRNnbgw983VwO7qJzlDQ1Yj7EPC6lWFrfs4YJIebpnoFvMLh5ugx1rBCzamtrq6ureVGvN4fDUV1d3ffDa2hoaGhocP9/dXW1SqWaPn06Oj8AxAZX/Q+OhYUdXwg38Y975Pohf54SStnsxU3lbQ8e9/nqR763526XvTtTMv264Pbv7vxAr/ro0l6Bvlvuzg/9tSQdAEQyR9vFu59/58NTdd53LZ445sWVv5EPHoRZukKgzy8AQJ+Q/ox7i7VXhbpDWTqRXhvA614bauxLCEvr/RxLf5KN9LhJnw56MinN4yLtZ6Jx5SShIJBnUNn/EeXrqcwNwce+TnOE5ukAYXX8+HHvBguRzGw27969212eDABRzbn91IXM7YKxL5UcJ/vPTNmLwXdLYB3tLfN3+4l9f3yYqd0xY1/r+mOsoz3IK/bk+Pg9Cwa/6nMJytZlJY67DwS9fwCIPSdPn/3F8rWCse8bKxa++dhyxL5XFCS/AAB9ImG8x03752HeP13ZUXOn+z+PStKw4I2Wdyz9h+KF2vZPQ92jLJ1KmBDQSwcd+HZeCtKe9cWyUfgpgdhTW1vLa+kbFRiGKSkpwekDiF6so91x94HWZcI/yOKpV8cfXhQ3Nyvo/V+qbDqf+ZZgHa4g59rKltm7XfU/BP2Kg1Zp4ysWUcnCOTWzVW+f+G4o+weAmLF5z8HJj/3Vu7HvSJWievOaJQWTMEVXGnR7CINqc2uv7v9bB9P3LxpGddaLAW4MUXqSVCYZgDckRCZKls5yL0jsJyiyIpwv4LL6XNUt9Msn64cex9Kjjgq9+yEm5y6dx9oPUeF+hY7yG3+srQ6iO7N/1oOes5qHHxOIwe9I/dG9ISyam5sNBoNGo8FJBIg6/js8SNflDn5IG0qHBz8Lr1HJcXH3/ULwXteR71um7RqyeXrQifPA3JRhdfc4frsfnR8AQBA6PIDwRTOmIAj6Zmdh/fmy7+gKq7O/xlBQ+HVUz+HDx829tOc8hfQXVw36pTp+sjoe71WIpF+3HhklsRcHvhxZP3Oau4ZNSIDNEPoMlTCJ7Ryey8paj4Zejet5+PUh9WX2jbXu5bw9FKE35QCINEajkdfkQaVSjRo1KjJb6FosFl5ObTQakfwCRB0/jXep5LhQWu4SQjpMLY7F+11Hvhf+rjf1avd6bpJbr6N/X+wdPbOmdvqOokuPfBt0c2FKHhe/Z4GfY2xdVnKp7FvZy7eEEm0DQDQ6efrsr9a94V3qSwh5Y8VCP6W+Q4d4xMHaUfjyE3NRBKagR6rNrS9Xfv/xd62YiohVYXVWWJ3vnD6fFi9ZnTv89vRhmBOIEJTiNpYTobLWI5RyVkg75K4a5/sxIQ6btZZ4HkVkJb8kQUuaODetB0l4k9/ewVqPejT5VczDDwjEHpvNxr2Znp6en58fsaNVKpUajWb37t2dW0wmE04iQBRhHe2+6mEJJ5YNev9MyVn6riLWJNxOV7oud8hTk93/PzA3JaHsLvrhg8xWgXY37S99ebn63JDXbxVnXBXcSAat0opvTBEMl4m788PJ7+Xvzwl6/wAQdXYUl9635X3v7SNVivfW3JsxItnPc5cUTPr2nO3ZPZ8Mlw1+ZN6McSOvw3zGGPT5DRTNXH7hU3NB4deIfaPFmRbm7pKmJQe+ppnLmA2IBJRihsf1SdMboe5Q8ySlWOTvEQkFlObJUK+jml7zPIrpETarU4hY0TVa617icoS0R3EA14TSjFDH7dnqgShuwQ8IxDyZTBZdI4yiVekAwH/jXem63KGHl4QS+7auP+aYsU8w9qWS4+SH5nbGvj9ulMfJ35k1ZJvwtybXke8vZG53bj8V9Hjc4bJkufAfDLk7P4SyfwCIFo62i/e+sFUw9r1tdOaRVx73H/u6Pbl0TusHr33zr7+snI+rkhiEmt+A0MzlX+//uh97O0DQPv6uNW9nfeHsa9OTpJgN6O9QIZ1IM7paB9DlrL0qpJ65YjmVvYUiW3pvyKy9yqPXgUxLpKpIm1dKMY+1vPnTtZQ1xGJqKmUxob/q2qHA5WOGKHt7SCN2mj32L1ZQ0VCnDBAim83GMExktnpwMxgM3JtyuRxnDSAq9GqHB1f9D0074d8AACAASURBVK33f+Srw8PAeanyf8z21VpBunS0WJviq+lwiJ0Z3OGyc+IpXwvZofMDQMyrbzTd+eybp81W77s2Lp2FGBd+vNzEFHQLsW+0a26/PGf/1wh/IRJQKX9gDas6b7INf6Vy3ovkAbMNf/Uc/30ROau/5QapbMOGUNtoZG6gMjf04qxa9nm8HFo9QIxKTEzk3mxoaDCZTOnp6ZEZ/prNZrPZYxGCpKQknESACOe/w8PAeamyTbeGUurbvq+2dWWJrw4Pg1/NH7RK2831dsZVfjo/hN6ZwX+4jM4PADHMV4eH4bLB/157H5o2QNcnEaagW/d/1IjYN9o1t1/+3UeNH/1KI5MMwGyEkclk+vzzz+fOnYupCBClnM02rOtq8Gov7rbsl7VX9dvVlL2K2Is5nxgKSjE1EqdVlk4SCrqG6qxnLQdCDH97kcvBNr3i8a5Qr8KPRo9s2rRp1SpMWhRITU2Vy+UOR1cDFoZhdDpdtIw/KysLJxE67du3b/z48cnJyZiKyOG/8W4gsay/b0GO9tb/O9r+0pfC3+iS4+SFcwfmpgT09e+n4ty2J497j9bdmWHItunSpaODvKT3Gy6Hvn/A9RQEc2at500/2HopfnW0XXx08z93llV733Xb6Mx3Hr9bPngQTgF0fUxgCvz755dWP419F1wbP0ox6Br5wGvkEsxV/3K0Xz7d7PzWwez7uqW5XaCx75kWZsOn5menpGCuwui7775777338E2lJ7905ZTyd2zTC13XFd2V/bI1N/fXYFnDUx7XLSkPEXGE/u0zpVzIckJq1vAopZjqZ7S9m6e7zvud1ec813ZbFIENNCLcgw8+iOQ3WowfP/7QoUPROHK1Wq1UKnEGodN7772XkpKC5DdytK4/5lxbKfytoCexrPAneQgdHnxxF+f62m3rshLmgzNB7PbHQ/YbLhNO5we8c3A9Bb0eTXBi2QlpqXufWRXeHBYdHqDHIQSmwA+aufxM5TnBu+4eOeyJm1QoII0ok9XxhJAnbrq888vmP1cIfKN65/T5eRnDxqiGYK6gH1HqP7CWv3uU/TbtpFIWR9o42aadhC7nfFwoqJQlkTuryllsk7ZrwC4r2/AapXnc59H1U57O2qt4HYQp9UP4oYAYlpiYmJSU1NzcHHUjR+wLELE6TC2OxfvDG8tyhd7hwee1d8ZV8fsX+ColvrTXeP6zt0LJrP2Hy+7OD3j/APSqw1W65S9uP0e3uW+eOGO8+/l33l/3QLj2jw4PEAQRpsCPnV82C1aPvjM95dkpKYh9I5NMMuC+scOL51ybFCdwgv7xXyumCPqZWE6leIR9bMM64uxqLkmJh/bLuDxe12lmG9Z53BvBBb8/jlCz3mNWm17ox0YZwlwOtm6lx5iV9xJZOn4mICYxDFNRUbF79+5ojH0JIeXl5fv377dYLDiVAJH1u6XkrD13u6/Yd/Cr+fF7FgQd+7KOdsfdB+g7hDtIiG4YOrRuaSgdJAghlDxO9uItsv/MpJIFBsma2lvydl3cVB7818yMq+L3L4h75HrBezu+uCDYDhgAQudou7h6yz9vf/r1ztjX7cNTdTuKS8Oy/3tf2CoY+942OvO/W9ch9gWfHw2YAj921gn8xe7L+arb04dhciLcGNWQ16elLChu5G3f/XXLBuYyUnvoX1TKEtaygzjrf7ztsnbolovGFf14M2U5sR/iNgTok08DBUlZ3nVhoFvuMQCZllKviPRZTRhLFItY666uyyfdrylt1Y+BtTi+f4Ylzegaj+G5rpNOCBErKM2T+HGAmFRbW1tdXc0wjOC9crl89OjRMpksEobKMIzRaNTrBZpjNjc3FxUVqdXq/Pz8yFyVDuBK46fDg+iGobK3C0Ls8OBrnTRCiGR5uuzlW0IpJeaKm5s1IOsqX8W5bQ8ev1RqDHptOne4PHDCz/xULgNAeJ08ffa+l98V7MBACFn77gd5WZqMEcH3C0KHBwjpWh9T4Iu+2XmmhX/F8strhvzmegUmJypMVsffPXLYO6f58f2RhhZk99Dfv3rllGYDq7ujawtdztY9QWVuIIRQCWOpccdYp6kvR0RJkzu7zbJ1T3j0efAqp41YVOZGtpwTmrusHTULRTnvE7GcUkxnGxR9nacTQqmf+HFWm3Z69XlYG+Fl1ABBsNlsn3/+udlsFrxXpVKNHj060hoppKam5uTk1NTUNDQ0eKfVDQ0NJpNpzJgxWPANoB/5b7wbeizr3H6qdVmJr3t7Y3k0d3Fu2yvlgln2pb1G+2fbZe/OlEwPsojPf7gMAOHiaLv4t38ffHbPJ34ec45ue+DVHR//dXVwL7G/tPI3f9nmvR0dHiDQTxxMgS/1zRe9N979C8S+0WTp9Qrv5Pe01Xk7/roa+hulmEJSHvNY6s3yJkm4kVLOIoQQqYrqp1W/WMPzXgHlM1TC2Cj5TJNTmW/xI3XDc1TmBiJVibRVrPUIcTb11WDiqYQ8dzMH1nKANXiuSJZQEIHNnQFCVFNTU11dLXhXf2W+NpvNaDTabLb29nZCSHNzM8MwcrncXXHs/h+lUpmYmJifn5+Xl+euVubthGGY8vLyxsbGiRMnRkKpMk3TFouFpmn/x5WVlYVSZYgN/hvvhhjLso52+uGDzFa94L2iG4bK358jzriqV74NyuOGPDV54E0p9F0C/SVYU7tjxj7putwhT00O8puI33AZAELnpxSX58QZ4+Y9B3tanOtou/jMtn2bi0943xWWtePqG02fVH5Z9l/9WYuVdxQT0lJ/rlTkX582Pff6ZAUq56Ibkl+fvnNc8t7oXkMMokV6kjQtXsKr3f7SehEzA5GAUv+BtZdyq2vZumWEbPsx/O0PrOUAN4wmhJCEgsjv8+Axq4KROiFU5gYilvfL3LKWA2zdMs/PXoUo+w38CEAsoWm6rKxMsNRXLpdPnDixX+p8bTZbUVGRdxmvw+FwOByEEO6Ak5KSRowYodFoNBpNTU2Nd/8Hs9lcWFg4adKk1NTUfplko9FoNBrNZrN78ALXh57H1djYWFBQgPAXohrraPe1HhoJRyx7qbKJ/n1x33R48EUy/bqEyqW+1qxzrq10HTHKd84OuvODn3DZ7eKm8hCbFwNcmTbvObh6+wHBu9bMv3nelLxbH3+Z2/N39fYDN+deH3jPh/pG0wOv7jhxxii4/yeXzgl65I62i9uLSrd9/KmfzPrEGeOJM8adZdWEvD8hLfUPc6bNnpSLkx6lkPz61OK1tlueQoppiTo/lw/07toBEBm/gOWizFc6am7jtiBg65YR16Z+qQZl657gVfsSaUY0BpSU5nGW/pLYi7sOzR3+ap7s++4KwrFvzofo8wCxxGg0lpaWegesEokkOzs7JyenX0ZF07Rg7OtLc3Nzc3NzdXV1UlLSqFGjNBrN559/zluejmGYQ4cOZWdn5+Xl9eWBGAwGnU4X+LF0HtHx48enTZuGtyhEqd7u8HBxU3nbg8eFv0skxw3ZPD1ubh/1eBElxw89vMRXF2PXke/tuSF1fvAfLrvbCsv/Mbu3M26AmOEnkx2pUrzx8F3uDgzr7rqdtyDbnc++eeSVxwMp1N1fWvnQ67t5i8URQobLBm99dOm0sdlBD37znoMv7T3kvWc/TpwxnvjLtgmFh5/7/Xw0l4hGFMuymAVBL3xqfukLj38A+eU1Q3bMuhYzE12WHPj64+9acR4hctF6XvhLCKGU97p7/vbVpZWDNTzHj30JITKtu0lutF0pOjpqFvJaFffL4bANW9iGP/E/dzP7s6wbIOx8dXhQq9V5eXn92BvBYDCUlga/lLZ7GTqGYQSXqktKSuqDclqapgWrj3vkd7/7Hd6lEI38dHigkuMGP5cfYocHx2/3X9prFLxXPPXqIa/f2ksdHvxjSs76Kc6Ne+T6IX+eEko+62eJPCo5Tl44N5Ql8gCuEH5KfRdPHPPiyt9wg917X9i6s8zja1K35br+Ozxse/KeoHsv+AmsA4cF5aLRgKeffhqzIOjLcxePeiaG18VL7shAf5Mos6/+/FnPxh04jxBZJElEMoJYCz0v96tY6zEqcVpfxJS0vkN3N7HtF7r+aGJt5dTwWUQUPTUgvmJf9+GYdpL4myhpch8Mg619mDVt4l9WIfaFGMIwzGeffabT6fi/1SSSCRMmjB07tn/7DLgbIwj80pVILl++HMjRNTY2Xrx4ccyYMQzD0DTNvffixYt1dXUpKSmDBg3qpfHX1NSUlpaeO3cuxP2MGjVqwIABeLtCFGEd7fQfii4+Xk4cAj+q4qlXy/89J+jqV0LIpcqmC/nvXa6wCd4b98j18jf+Z0By/7T4G3BtYtyvR15u/KHjtEADisufnbtU3ijWJosUQ4L81jlZLZ549aVD3wjMreNy+9s6KlE0cDzCXwBhJuv5u59/Z8tHApnscNngXU/evepXt8YNHMjdPmX0yHc/Ot7KdCUSZbVf35gx4ufJwwVfor7RtGzD23s/13nftWb+zW+tvjvoxr6Hq3QL1r1RZwl1vetDX9S32C/cnHs93g9RBDW/Pr1Rde7PFR5/DoNa0WiEml+IjoscywHW8Civ8peIFZR6ba92fhAsSuWLospfP7Ev95Mv5TFK/YfeOyLWepStu4d/NhH7QmxhGKa4uJjXDIEQkpSUNH369EhYBq2iooKbSs+cOZPXa5hhGJvNZrPZLBaLyWTy00shOzubECKYcfdG21+bzVZWVuY9t53kcvmIESMSExPdy9Px7j1+/Di3TNj7wAEi+pO8/gfHwkJfjXdDL3qNnA4P/TjODlMLveojXyXPA+elyjbdKkrG8jYAHnYUl6599wPBJgnepb5ch6t0tz/9OnfLcNng/25d5/343uvw4D2GTiNVijsmjNZma65RJHb2IK5vNH1ntR38/L+7y04JHnKIjYahjyH59QnJb2xA8gtRQ6jtAyGEyLSUZj2VMDa8r8Zaj7KGJ4iznn+HWEElzGCtu3hjCE/4S+tZl4MQQujTxNVCCCEJ43/8NAr9AAVjX5mWiIdxe/52HabmxbDnsKy9im34q/DLZf8r7CcRoN9+XdF0SUmJdzTZxw1w/SsuLubW/C5YsMB/Hu1eP81XawV389/y8nLvgHjSpEkajSZcw/bTpEIul6elpWk0Gv8Hwuu/geQXoohz+6nWZSXCV629HHf2Y4cHXy5VNjnm7Ou9zg/+w+VQ2goDxBiT9fzDm3Z+eKrO+67hssGv3L+g26XPntte+OyeT7hbFk8c8+Zjyztv9l6HB0JIfaOJt9ac222jM//31zO77dvrK4/+4On7QwmjoS8h+fUJyW9sQPILUXXFY+7QLRcuWU0ooFJ+TymmhP4irOUAa3lfIJ0kXQmvwGpvwYW/TjNrryT2z1j6i25LcYk0g5KNJgk3UYrpRKrq2Qv5iH1/PBzD82zTC8KvqH6CUkwNPdT2mfm6h5H5CpGl4w0OscFms3mvnCaRSLRabRgD0NDxkt8A290yDFNbWyu4nJpEIpkxY4b3sm8kfOEvr1y3k7vpcIAvgeQXohHraKcfPshsFf6nl9BjWf/9c6Xrcoc8NTkyp8VPP2LRDUPl788JZVr8h8sROy0AfelwlW75i9sF615vG5358qrFgWSyjraLUx96/rTZo8Tnn/+7zB0Z+2m/G5bS2l/+cSNv58Nlg9fddfuSgkkB7sHRdvHu59/hZd++KpchAqHPr08nza3o8xsD0OcXoolYTg2fRTokpMXr33udBnLufdZSSJxWSjKcSJJ6vHNazxrfZvX/SyxbidPgfT+lfkaU9Yq7pS+lmEGcdkJXca6ZetLz1+Vgzx1k6x5mv36SWAsJXUWYpgCe1UzadMRWzDZtYa3HSAdLSa4KKJP1G/sSQqjEfCIbT2wlpKON/4rWQta0k7SZCBFTg9U9nlWnmbXsZ/WPE+MG4VlNeUyU+QLpg87CAH3CV+w7c+bMa665JqKGajAYuM15R48OaDGoAQMGKJXKzMxMp9PJS3gvX77c2NiYnZ09ePBg3l2NjY1yuTwxMTGUAQvGvu6myRMnTgx85xaLhRt5p6WlRULzDQB/H+P1P7TMfN9VbBK8V7ouV/bqLaE03m1df6zttyWCXYOp5Dj5vlmDlo2OzJmh4sRxC0ZRiaJLHwlEQuz37e2bvxD9fJA4RxXc/gdcEy+9J8eltwi2FXYdMV0qPSu5+eehVBYDRC9H28VVL7/7xLsfcLv0ug2XDX7p7jvW37MgwNwzbuDAMZrUbZ98xt1Y9l/9gim5lafPCrbfdTcOvivgcNaXzXsO/v1wBW/PHz3/8LRxPSjXjRs48FdTx7fYL1QYvu361cpccra2ouFvVEDNr0+o+Y0NqPmFaMTaq9i6lQKtGLougzKohCkk4UYivcZPDwHWXkWc3xH7Z6z9qL+9+WgoEUzlr9PMWvaxTa8ItK0I7lNKeS+lXuWvBLi72Jf7SLZuNb+RBZdYQSXMIAk3EdlISpbu8zBpPUvXEbqWtZf6K2SWZlCZm9HhAWIJTdOFhYW82DdyGvvy8Gp+Fy9e3NMV5ywWy6FDh7yLf2fMmCHYFyKUyl/B2FetVufn5/d02Kj5hejSqz0HOkwtjsX7XUe+F/7Yn3q1fOfsqGhoe6myif59sa/2x5Ll6bKXb0HnB4Aw8lPqG3T7hc17Dq7efoC7ZaRKwSsE7nyJvz24pLPrbtAcbRd/sXwt9yjcsW9we3a0XZz3p0288uEz/3gmlE4U0DeQ/PqE5Dc2IPmFaOVysE07ehChJhR43BRsOyBw0aOgUh6i1Ct83d+D8LenA+7RZ5Wv/Dfw2LfziPy0ZfDmbhPcia4M6Ojcs5qyJDqWxQMIjOCSbklJSQUFBT2NJvtGWBY6YximpKSEmyCTn2qcbTabd0Pe4MJfwdhXq9VmZQXT0hTJL0QL/60MQo9lo7TDg5/p8tMQQ3TDUNnbBQNzU4Lev/9wWboud/BDWhT/wpXAT8tdQsjGpbNWzr8l6J17N17wtrJgwp+WzQ1LFwXvrPmNFQuXhFBHXN9oGrPy2TBOCPQNdHvwCd0eYgO6PUC0EsVRCblU8jIiUhD6v/w2Bd6cBo//uiVWUKlPirJeoxLz/TwqwLYPrPUoq1tGrP/2OU6xgsRPppTLKMUcKvWPlPKurv9kuVT8BELiiMvu8+l0FWvZTUTDqPhfdG3seexLCKGkyZRyHkmYQZzW7ieKafKY1W7PAndWRbg6gtgRdbEvIcRms4Xe9GDAgAFpaWmtra3cY798+fLXX3990003JSQkNDY2ch/f2Ng4YsSIQYN6cLVmMBi4QS0hRCKRTJ06Nejy4VOnTvHaXETsOYIr2aXKpgv5712usAneK12XK//7rKBzRtbR3rqmpO3+Y9HY4cHnF5g4cdysDNHPB10q/EbgkL9vb39bRyWKBo4PMvwdcE289M7sy+fsl081e9/rOmK6VN4o1iaLFEPw7oUYdvL02V89/VrRKYG/lZyQlrp/3cqZN4X0qyMv89p9pVXe7SPchssGv/3gnSvn3xo3cGBYDmfFKzusnILf20Znrr9nQSg7VCTIeT0fvjvXfM/tU/HOiXBiTAEAQAT/kpZT6hVUyhLWeoRteqP7RdICIdNSKfdRylmBXmlkbiCEeFT+0uUdNQs7A1af66cRQqQZlGI2pbzD3/pmCWMJIRRZQQghtJ61V7CWfwocqcvKGlax1mJR9htELA8u9u06qISxVM57hNazTf9grXvDUKecUEApFwY+qwDR5fjx49EV+xJCeGOzWCxBl77m5+cTQrhlue5a4IKCAkIIr/K3qKho5syZAbbl9S4cdhcUh9IymBv7EkLQ5BciUK/2FnDV/9B6/0e+OjwMnJcq/8fs6K1dlS4dLdamOBYWChbntj14/FKpMegDpORx8ndmOSeeal1WIjCxR75vmbZryObpcXOz8B6G2ONou/i3fx98ds8ngveGq7I1Y0Tyurtuv2/L+953havDQ6f6RhOvlcS9s8MQ0f5q6nhuQfRps9VkPY+GDxFOhCkAAIh0YjmlnCUaVyTSfkVpNvEbOwT4bV6xiNJsEmm/Eo0r6mlASWVuoJT3ekYL5R01C4nT3HFypnDsm1BA5Xwi0n5GaR73F/vyyNKplMWicUWiceX8V3SzF3eUj2XtVaHEvh4vl7lBlK+nsv9DpTxGZNoenhcFpVhEZW4Tab8S5byH2BdiVUVFRUNDA3dL5Me+hBBeeGqz2ULZW35+fnq6x68ys9lcU1Oj0WjGjBnD3c4wTFlZmXd3YEFlZWW8LZMmTQol9mUYxuFwcM8U3sAQUVhHe8v83b5i34HzUhMql4YS+7bvq22ZtstX7Dv41fz4PQuivWWBOOOqhLK7JMuFv1xd2ms8n/nWpcqmoPcvXTp6aN1S0Q1DBU6fqZ2+o4h+9CDraMebGWLJydNnpz70vGDsO1KlqN68JowNDZYUTLptdCZv48qCCXufWRXG2JcQUlFr4B3ItLHZoe923MjrRqoU3C2VtQa8hSL9gwNTAAAQNaQqKmUxlbKYkJ/WGXM2sfaf/tHV3YVWmkGk1xJCKPFQIssm0hRKltmD7NUH4crf8lECD00ooNR/DHVlM1k6lbmBUq9iDev5a7K5rGzNzV6P73nsyz06xRSimEKRx4nLwdJ6Qp8mrhZC61gXv6CGkl1PxPFElkXJMvytOwcQK4xGo06n426RSCSRH/sSr+SXV7MchLy8vObmZu5+qqurNRpNTk4OTdPciuDm5ubjx49PmzbN/w5ramp4o9JqtampqaEM0mKxcG/K5eg2DhHEf+Pdwa/mD1qlDXrnrKO99f+Otr/0pfAHfXKcvHBuKG1wI0pncW7bk8e955M1tbfk7QplPt3hsq+2wu0vfXm5+tyQ128VZ1yFdzXEAO9muJ3WzL/5gV/dEpaWu1wvr1p8/rm33A1/h8sGv3L/gtmTcsN+XMe/PMO9OT0nI1x7np6Twa0m/uqb73pj/BBGSH4BIHiVlZUbN27cs2cPpqIfyNIpWTrp7JPQB5cZ3uEv/yNFQWW+RSmmhO0lpSoqewuxL2frVhJnve+pCCn29TwEOZUwlvwUW1N4m0XmFS+F9Wn7CE3Tgr0IoqJvrEQiSUpK6oxWHQ6HzWYLpZxWIpFMnz69sLCQW89bVlZWUFCQn5/PMAy3MrqhoaG2ttbPEm00TfPa+6rV6uCWdOPiJb9Y2y2M5s+fv3r16txcXNwGqXX9MefaSuHf6iHHsrHd4cHnt6Slo8XaFF8H3vbgcabwTNCr5PkPl92dHwY/ly9dOhrvbVxPRa/6RtMDr+4QXHJtpErxxsN3jRt5XW+8brJi2Md/Xb2juPSa4Ym5I68Le7LsZqc9Vii5KTstXHvO/rnHr+svzn6L91KEQ7cHAAAI+DLAu+1DJ5lWpK0KZ+zb+aIJY0XjPvb3uuGKfQHAU0lJCa9rQYi9CPqYSuVRmG8whPrXiDKZjNfbwWw2u8PW/Px8XmuF8vJyPy0mampquDclEom7m3CIeCvOhVhBDBAWHaaWC9N2+Ip9B85LHVZ3Tyixr3P7qQuZ22O7w4Mv4oyr4vcviHvkesF7XUe+t+duZ0rOBr1/6dLR8YcXiade7X0Xa2pvXVbiuPsAOj9AlNq85+CYlc8Kxr4rCyYceeXxXop9Oy0pmDRtbHYvxb6EkA9P1XFvXnNV2L6/jVRfw7151mLF2ynCIfkFAIAeoDRPErGCv1F5r2hcUS/Gr2I5lbmB0mwSGs96xL4AvcG7F8GYMWOiK0nkVbzyUtHgZGVl8QLlU6dOEUIkEsnEiRN51dDe0bkbrzsEIUSr1YZeSW00GrlNfuVyOZZ3g353qbLJnttbsSzraHfcfUBwOTJCiOiGoUPrlobSQSI6vpjJ42Qv3iL7z0wqWWAaWVO7Y8a+1vXHgv8K5jdcZrbq7RPfddX/gLc6RBGT9fwv/7hRsMPDcNngD56+f+OK3/ReINtfwhhk8yaHt44cRCAkvwAA0AMduvuIy+PTnVLe624EEdBFmvUoa3i+o+ZO939s3ROs5UCg1zYpi6nMbfwd6n5NXA6cF4DwstlsvF4EKpUqJycnuo4iNTWVG6c6HA6j0Rj6bkeP9vjrZrPZ7K7tTUxMnDRpEvcuh8PBq+11421UqVQajSb0gX311Vfcm2lpaXgnQ7+jf18s2NhXdMPQ+IpFocSyrvof7BPfFWxESwiRLE9PKLvrymlEGzc3y1dxLiHEubbywrQdHaaW4HbuP1zu+OJC25ojeKtDtNhRXDrhgecES30XTxzz363rwrIMWmwL70p00AeQ/AIAQKDYhi3EXuxxMRB47EvrO07OZHV3sE0vEHux+z/W8iZbt6yj/EbWejSgaw/lLH7lr8vaobsPpwYgvMrKyrg33S1uo/FA0tM91rfkZaPBUSqVvLLf2tpa9/+kpqZmZ3tcMep0Ol7vXUIItyMwIWTUqFGhj8pisZjNZu6WsKTJAKFo31fb8cUF7+3uWDb0Dg+COyeEDNk2Xf7OrFjt8OCLuzhXuk64FbW780P7vtqg9+8nXL6014iyX4h8Juv5hWv/dt+W9895NsAlP5X6vvnY8tgr9QUgSH4BACBQtJ5t+BN3Q+CxL2s50HFSS+hyHxdw9azuDrZpZyC7olIW88Nfe3GAzwWAQHj3eZg0aVJUrOrmjbdmmtls7o2yX26Sm5OTI5d7tKDhxegGg4HbAkIul4elh4a76UQntVqNVg/Q7zq+FSgyDTGWZR3tLfN3++/wcMUuO0bJ44Y8NVl+aK6vzg/0HUX0oweD7szrJ1xmW9DtFyLa/tLKCQ88x2t963bb6MwTf3sSpb6BM1nPYxKiC5JfAAAI7Pqt7iGP2zJtoLGvvYqtW9b9wwyrAuz8QKUs5i34xjasI04zzhFA6Gia1ul03C1qtTp6FwqTyWS8st/PP/9csPdujyiVSm68yzBMZ6DsbvjLfTCv5wMveg5L+0egEAAAIABJREFUwa/RaOQV/PIib4AIIT80N5RY9lJl0/nMty7tFf73myutw4MvkunXJVQu9dX5of2lL1tm7w66RNcdLg/ZNh1vZogWjraL976w9Td/2SZY6vvGioXvr3sgWTEs5uchjHGt6QcbbxrxNotwSH4BAKB7rOWAR8WuWCHK3hroc+tW8jeJFSShwHulONbwaIABLqV5kkgzum67rGzDJpwmgNDV1NRwg1GJRJKfnx/VR8RrT+yr925PjRgxgnuT29JBqVR693zonFWTycS9K/RUnWGY0tJS7haVSsVb3Q4gQlDxwXdguLipvCVvl2DXYCo5TvafmVdghwefF/nJ8UMPL/HT+aFl2i7n9lNB739A1lWYZIgKh6t0v1i+dmdZtfdd7lLfJQWTYvXYeYEsL64NRUvbRe7NvLRUvNMi/UMBUwAAQbvmmmvuvPNOzMOVgG3wKO+l1GuJVBXQEy0HiLPe47maTaJ8vSjnPVG+nsrc5pH/uqxs0/aABiSWU5mbPV/oTZT9XiFeffVVTEIvsVgser3HcklarTZK+zx0kslk3jls6D0feF10eSW3OTk53HljGKaiooIQYrPZuMF6UlJS6D0Zjh8/zqti5hUdQ1jceeed11xzDeahf76EONpb5u9ue/C48DeCqVfHH14UNxd17nz+Oz+0Litx3H0g6M4PgOupCOcu9b396de9S30JIRuXzor5Ul9eIHu64btw7bn2G49dJaDmN+Ih+QWA4CUnJ8+dOxfzEPtXXLz0VqalUhYH/Nz3uTepzG3c51LKWVT2vzweb90f4J6phLFePR9Q9ntFWLVqFSahl/B6xapUqthYJYyXwxJCSktLbbaQil8SExO5++R1RpZIJFqtlrtFr9fTNM1b7Y23UlwQampqeOvFjRkzBh1+e8PcuXOTk7GaeT/w3+Eh7pHr4/cvQIcHX9ydHwbOE67IY7bq7RPfxeJsuJ6KPfWNpqkPPS9Y6jshLbV685qV82+J+Um44bqfcW/qvmkK156//NpjV9dfm4K3XIQTYwoAAMA/fsGvZn0PnkxXdv2/NINSzuLdTyWMJYpFrHXXj7ed9cTlIGJ5IPum1KtYy5td47S8SalXBViMDAA8FouFV7jKW8csekkkkkmTJh06dKhzC8MwZWVlBQUFgVQ0G43Gr776iqbptLQ0bu+IpKQk7oxZLBZujwWNRvPVV19xE+Gamhrey3Efb7PZamtrGxoa1Gp1Xl5eIAMzGAzV1R6XtUlJSejwC7Gkdf0x59pK4e8AyXFDNk9HqW+3RMnx8XsWXNxULlg03fHFhQuZ24dsm37FLosHMenOZ988bbZ6b9+4dFa/ZL71jaZPKr8s+6++4oyRW4M8IS11tOZnN2WnzZ6UG/YXHfVzj79TKampD9eeP/ZcKC/r5/iDmEiH5BcAAPxh7VUeBb8JBVTC2B4839X1rYtSzBZ+jCybcL6bsbQ+0JeQqijlvR7hr7Uk8HpkAODiFfymp6dHVK9YhmHcrRIEa3UlEom7CDcxMVHw6ampqdnZ2dzF65qbm4uLiwMJf7/66it3wltdXU3TdGfjY5VKxU1+vReOGz9+fFFRUedNvV7PXReOENI5WpvNVlRU5N6DXq/XaDTdTr7BYOC193UvLhft3TkA3DpMLY7F+11Hvhe+iJ169ZDXb0Wpb+AGrdKKb0xxzNkn2Ci5dVnJpbJvZS/fgkbJEBu8Y9+RKsV7a+7NGNHXf7px8vTZv/yr6EPPqLTTiTPGE2eMm4tPDH999yPzZiydOUk+eFC4Xjo3S8Obk/pGU+gzcLhKx2ugkTvyOrzlIhySXwAA8Muyh3uLUi4MflfOgBprUoEV/P74YF7Zb9NrSH4BgmCz2bw71fb7qGiaNhqNFoulubnZ4XAE+CyVSpWUlKRUKnmLp+Xl5ZnNZm4RbnNz8+7du2fOnOkrL/am1+sZhsnPz5dIJLyM1Waz8V5RqVTy0mHeUbjbMnBj3wDV1taWl5fzNmq12sAPBCCSMSVn6buKBDNKQoh0Xe7gh7TIKHtqYG7KsLp7HL/dL9g6g9mqP1/cKC+cOzAXf7gNUW+kSsENf9fMv/mBX90SxlA1EI62i49u/qdgxwlv5+i21dsPbPv40zDG08mKYbx5+Pv/O7pxxW9C3O3Bz//LvTkhLbWPJxaCgD6/AADgD2vd23VDrPBu19ANaUbXruyHiEsgu2EtOzxuy9J7sn8VkXGaaTrrsc4bQBBqa2u5N9PT0/uxVyxN07W1tfv379+9e3d5eXlDQ0PgsS8hxGw263S6Q4cO7dy58/jx49zF3AoKCpKSkrgPZhimqKjIYDD42WFcnEfA1NDQUFxczDBMIDGrn44Z7uC4p7EvwzCHDx8WjH1joykzQOv6Y44ZwqWpVHKc/NDcIU9NRuwbHEoeF79nweBX84W/8pnaW/J2XdxUjomCaHfguYdWFkwghExISz32wh+fXDqnj9NJP42G/Thttt76+Mv7SyvDNYw7Jnh8CdlddsrRdjGUHZqs5zcXn+BuWXLzjXi/RT4kvz3w8XetmISoY2+/jEkACB6t92zXMK/H1xgJU7puuKxs3Wpe+MvWPcHtJkEpFvX4JZQe/3bNWktw3gB69oNO03q9nrulv3rFWiyWw4cPuwNf3pppQWAYRq/XHzp06N///ndNTQ3DMBKJRDD8LS0tPXz4sK/4NSsri1fe6+4UEUhc6y77FbwrKSnJYDB4x75JSUm+MmWLxbJ//37ekm6EkPT0dLT3hRjgqv/hwrQdvhr7iqdenVC5VDIdf1YcqkGrtPEVi6hk4fS87cHjLfN3s452TBREr2TFsI0rftP6wWsf/3X1uD7vRWCynr/18ZcFGw136xzd9pu/bKtvNIVlJMv+ZzJv59uLSkPZ4au7i3lb5kzOxfst8iH59SleIjA5+mYnZiaaLmWZyxVW/ilLiBuAmQEIEGuv8Lit6PmSCMr5Hju07uo4+UvWcoC1V7GWAx01d3J7NRBCiOLWnr4CpZjucdv+KU4cQI/wKl5VKlXfNw2wWCzFxcVFRUXesWboHA5HdXX17t27a2pqiFDlLyGkoaHB/QDvPFepVM6cOdM7/OW12fUlLS1NcLt7D7yXU6lUgq2HaZo+fPhwUVGRd/nzmDFjOlsPA0Sv9n21LdN2+WrsK12XO/TwElFyPCYqLNydHyTLhf/K6tJe4/nMt5iSs5gogCAse+4tXidcQshw2eA1828+9sIfz/zjmdYPXmv94LVjL/zxjRULbxud6b2HO599M8TiXLdkxbDFE8dwt7y095DJej64vdU3mngFvysLJqDVQ1RAn1+fMhUC7+DtX1qfnYLOR1Fj55cC5UI3Jg/BzAAEyjNF7dnabp1PUSxirbu6Njnr2bplwo+WaXvcTYIQIlURaUZn4TBLn6Jw4gB64syZM9ybo0aN6stXp2m6oqKi28A3KSkpKSlJJpO5V3Lj3WuxWBiGaW5u5nUr5mIYprq6+syZM+PHjy8oKDh+/DjvRd0P0Ol02dnZGo2G2+8iMTFx5syZvPrcAFs0aDSaU6dOeSe23k9PT0/3znAtFovBYOAVZbtJJBI0eYAYwDraW//vaPtLXwp/kUiOk707E6W+YUfJ4+TvzHJOPNW6TOCPpVhTu2PGPum63CFPTcZcAQRu856DJ87wW2lvXDpr5Xx+Ac24kdeNG3ndkoJJJ0+f/dW6N7hh8WmzdXtRqfdTgvD726dwm06co9se3rTz/XUP9HQ/jraLD7y6g7fxwQUFOONRAcmvT2NUQ5LiBjR79gp45/T5eRnDxqgQHUYBs4PZ9IXAX1iMS5ZhcgACvRhzNnTdkGlJT9Ze67q0yNzI1jQQuru2cWKFKHtrkFcvstFsZ8sIZz1xOYIbKsAVyGKxcENJuVzOW6asV9XW1lZXV/uKUOVy+YgRI7zXavOmVCo7/99msxmNxsbGRsF+EQ6H49ChQyqVauLEiYmJidXV/B587vy3urparVanpqYqlUp3BCwY/gYoLS3N+4V4eLGvxWJxH4WvHsdJSUnuQ8B7GKL7m4ajvWX2bl+lvgPnpco23YpS394jXTparE1xLCzs+OKC973OtZWuI8b4/QvQWBkgECbr+Zf2HuJuGS4b/NHzD/tftG3cyOs+ev7hWx9/mRv+vrT30NKZk0KvqB038rrFE8dww98PT9Wt3vLPni719sy2fbxEe2XBhGTFMJz0qIDk15+518a/c5pfCb+4uLFw9rXpSVLMTySjmcv3fNTY7NXkNy1egnMH0JOfpa64lpKqg/2okYty3u/Q3UfsxT4fI9OKMl8hUlWQLyHLJpx/6GFpfRDlyQBXJl6rB1+tCcKOYRjvqttOarVao9EEl0EnJiYmJibm5OS4V4rT6/XeWa3ZbC4sLJw0adKcOXPKysoEM+KGhgb38CQSibviWCKRJCcn+xqzdyVyJ41G4z/5lUgkMpmspqaGpmmHw+GnctktOzs7JyfHzysCRAWm5Cx9V5HgYm6EkMGv5g9apcUs9XoikHFVQtld9MMHma0Cf1vgOvK9feK78vfniDOuwlwB+PefoxW8Pg9bH13qP/Z1yxiR/O+1901+7K+dW87RbYXHKpcUTAp9VH/+3R0fn6rjDszdtCHw8Hf1ln/y+jwMlw3+07K5OOPRAn1+/Vk5drj3xub2y3P2f32soQXzE7H0zc5f7//au8MvIWR17nDMD0CgPJdiI7LsEK4q5KKc96jMbUSawb9LmkGpnxGNKyKy9OD3L8PSRgBB4uWYfdM6wGazCa5URghJT09fsGDBtGnTQi89lslkeXl5CxYsGDNmjHdIyjDMoUOHjEbj7NmztVqtnxSVYRiz2azT6aqrq/10peB2h/C+y9c6b50v4S401uv1/mNflUo1Z86cvLw8xL4Q7VrXH3PM2CcY+1LJcfEVixD79hl354ch26YL3tvxxYULmdud209hogD82/axR6O8lQUTpo0N9ALKXZzL3bLjk8/CMqpkxbBX7l/A27i5+MTqLf/stpuwo+3ivS9s5cW+hJCtjy5Fh98ogppff1RyySM3KF7y6hjQ3H55QXFjnkL668xhU9XxKjm+eUeKYw0tHze0eFdqu+UppLen4+8RwsnhcJhMpoyMDExFTGJpfZivK5SzKOUs4jSzThOhTxPZSEosDynw7fo08+ztQJ8mqPmNXZWVlbm5WEc4PNztcTtvuhvp9vaLGo1G75XNCCEqlWr8+PFhb18gkUhycnKysrJqamp0Oh3v3urqapqm8/PzNRpNbW2tTqcLopmDW2lp6YwZM7h9J7jS0tK6reTt5nupSjV69Ghf+4feVl9fn5ycLJejlVAYuOp/aL3/Iz8dHuT/mI32An3P3fnB16lpXVbCfHAGpwbXU+DzY6LRdNrskR31tA3uwunjuW0ZvPsFB232pNyVujO8AHdz8YmSmvqnFt82e5Lw9+r9pZUPvb7be7W6NfNvDjzRhkiA5LcbK8YNP/BNy5kWgWuACquz4riZHDcjAu537sB339ct3u0duF6a9jPMVXjV1dVt3Lhxz549mIorQsL4MF1YqCipqneTWRf+LCOW5eXlsSyLeQgLo9HjoqIPWj0YDIbS0lLeRolEMmbMmKysXizel0gkeXl5Go3Gu7eDXq93OBzTp0/PycnJyckxGAxGo7HbFee8MQxTVFQ0adIkwbppi8US3MjdzY6zsrL6IJQHP9asWbN69Wr8s1Po2vfVtq4s8dXhQTz16vg9CzBL/ZYOZFwVv3+BLf5vgvde2ms8/9lb8kL8iTeup0DoVDZ+x705IS21p21wvePUk6fPjhsZnvUt3b0deOHvabP1N/+fvXuPb6JM+wZ+T6lphEktTZZNSgyRTQ+UshQKpSvljGJZBFwOKuIjKyq+wKK7i6CIuguiouABFcVVH30U1ApykKWKgFhgt7YcWqmlTSOGWposm4TaRAix9H7/CLaTSZrmnEn6+378w5kmM5MrySTz4851P/fOgPd3/2HkkIHX9e37q1RCyNn/Wv5VXV986IR75ksIWVw0csVd0/F0x9i5HSXwjhX1ePumftN3nvYSKXIj4N/3v2a8OlkInWS1ZrvNcTkyJYrW4/Ux8HV6c4ISHX4BoqzVSpuPEVuN60kkm2EzA+/wCwBB4I1CDffcbh5jX6lUOmHChMjEmqmpqdOmTSsvL+cN/jUYDPv37y8qKiKEaDQajUbjcDiMRqPRaDSbzX6N1XU+QG7463A4ysvLtVo/fkUhkUikUqlcLpfL5ZjDDeLJheVfdjbU14lJxXjSKPM+pJc2XWrJ/1A0PwOFAuD54ZyFuzh2cCDjuKcMydp9orZ98ex/LaFKfkkn4S8h5JTBtGbrF75sYXHRSH+nhgMhQPLbtQypeMe0/t7DX6dyk73cZH+i/D/pyaKp1yVPz+wdlajxK33Lo0cMHscph8mNfXv9efivhyp6RewB+h74Or05QYk+DwBR02qlxp3UuIU7X5zLVQQhRJzJyO9k5LcgAgaIGJvNxh39KpFIwhq/WiwW99g3IyMj8i1r8/PzU1NTeQdjMBgOHz5cWFjoXBSJRCqVqj0Kt9lsNput/X9YlnXWSiQSOSeR426KG/46HI6SkhKPM8hlZGR4HB2Mfg4Qz98IvMa+ECs8zgUH0M2dPN3IXUzuFUgb3BS2J3eRlyYHb+3COdf2kS5/d1cA93194a0hmXEOIg/Jr08ypOL9szT3fXbG46Rh7upbHOurTOurTFGJgCMc+xJC9p79qflS06ezwvsT0QACX0KINKnHa+OVY9TJeBkDBKv56wBaNFD9Rtr4Imk1dXE7ex3Vr6T6lYz6SUZ5J79vr7/ESjxdAF3i9R/wPgVZkCwWy549e/jfrzIy2pPWCNNoNKmpqXv27OF29dVqtSzL5ubmut++Pep153wIHsNflUrVWexLCLFarQh5AQAA4uRSybU3wrV9AvnJzqD+SsJp9RsOi2dOKhiouf+F/+N1JfZiZLrq5QfuzOyXhmc5RiH59ZVCIvp0VvrNH9f7GP46tUfA0qQet/RPvlGdHO4I8lPt+QjHvk7lJrvWbA9HwB1Y4Ntu/ywN+i8DBIZhM4LqpWrTttU+2Nk4385Q/UpqfC8h513/Zn5rtbosivvi6QPoksXiMpAkfK0eHA7HoUOHeDOnBRP7Ovsn6PV6iUQyatSowPohpKamTp48mRf+Hj9+PDU11d9SdBb+ikQiL/PFBTnhG0A8XIuO+3Wbxd5W9SNKIWQJg6+h/7V31poZIOZYL1w8cLT6h3OWQ99c+eBWy6U51ynzszXdJNwcNuA3R9/4+87Sild3HPA+j9zIdNWi6eM7mwIOYubTFiXwS0pSj8DuaL50+c1T5988dT7cEfBZ68/RKk5o2woHGfi2Q+wLEMRHhOvAW1u1P2cEbVvllK6H+npkr2s7WsBkvcPIp/q8uxo8XQD+4iWP4esnW1lZyRv3GuRo3/YGC2azef/+/bNmzQpsO87wd8eOHdyVpaWl06dP97fxRWFhoUgk4rUP5sW+IpEoKSnJau34lyqLxYI2vtBtJf11UK8nxlr/uBPJr8D10FwjOfQ/1j/u/HlbA6oBMa3JdP6l4hL3RrftRqarHr7j9+4zrQUgsEYNvJYRYTVt9PBpo4fXnWkqr9FVf9+oN3Z8VXNG4ROGD/J3kjoQ6GU9ShBhvAi4IK3XOHUyK+qByjiFKvAFgNBgC9oH7VK7nvHxXp3FvmwBI59D2AHML10jaPMxYjtFTSWkuYR3W1o7jxCfw1/XVJrxvysFQHf8ThKRJr9Go5GXh6rV6iCbPHAza26QGoDU1NTRo0dze/46Ryg7Z3vzi8f2we1EItHkyZMbGhqOH+/4FSeSX+iemLSkXq9MSLolG6WImadMkpS8dfbFDWUXHjiMakCMemXr5132tz1S33Dz315bXDRy5bxbJD39a9Q76rcZ3MnZWn66GMBBhqRlhF8y+6WhjUPcQ/IbrBv79np2nPJLfUvJ9y17z/7kx+XWLxEwIWR2/+Qbr0vuzhFwMIFv+zDqU2b7E+WYNQIgpF/0xWra3q7BVkZarV134LUbPMS+bAGjWe0eyDIpeSQlj1HOJXZDW+1SXv5La+cR8Re+xLjUdqJjQZyJJw6gS7xWD1KpNBx7caao3DUSiSRavX07o9FoLBYLN542GAw6nc7j9Gtdbor80uSX96gnTJiQmprKGwXMexYAusX157hf93rtpsTMX6EUMefqJQWJv1Nap29H5weIOcs3bvEy1JfnlZIjJ3Q/7H1+uV+7uMZ1Sreq734I4Di52TEhpO+v8M/DEIpPXpQgeAqJaM4g2ZxBMpvj8pf6lr3ftxSfbvFrC8Wnr9wlTBFwyfT+oX3ItaaLfz4cguZ0IQl82/tmnDLb8WqMsKysrDVr1qAO8SzlemL6sH2JNh9jZGO936Otej4v9mXUTzLqhV3sSKxIyN1Mjbto7Tzualq7mBm2t4u42W4g9rqO3aWMxfMW38rLy1GE4NlsNu5imEae1tTU8MbkTpgwQSQSXCOm/Px8g8HAHQRdVlamUqkCOFT38FcikUybNs25Kd7A6s4mfwMBWrNmTVoaRkX556pJvyHEZYios8MDI0lCcWL1OR2u7F17H6/zA5OWdNVwTK6L6ynhemXr577Hvk5H6hueenfHirum+36XAWqXiUZ4Ga4v6s408dYMG/AbPH0QPCS/ocSKetyc0fvmjN5PBx0B58vEt2f1HqdODkmb2qGKXoIqVGgDX4giiUSSmYnxlfGMScl3meTN9DnxmvxS4y7elG5+tetl5FMJeccl/LXXUf2rjOZhbzs17XdZTvkdnrj4Nnw4ZpkIAd5o03Akvw6Hg9fnYejQoYJtbjBq1Chuw1+Hw1FTU5ObmxvApjQaDTf5ZVm2PUHmJb+8/B2EDF94ArnUzPxVz5cKL66toE2XEgZf0/OJkejwEA9fDn/p/GB/+2Rb1Y8Jg6/ptX48yoLrKcGqO9PkscnD3FFDB/VXZl/X9+w5S/X3jcWHTpxz7bSwZusXN+YP8j17db/lztIKv+ZG23bQZXDDyHQVnj4IzccxShAO3Aj4WNNPAaSc5SZ7+WEDOWwIbQQcXVqzfUfd+XdqzyPwBYid01kGSZS1j+Glpm0MedrLzane5a+Mcpkfs7Q57+IW/tLGZxnlXUSs6HSnxi0uW0hBLAjQNV7mGI5xuJWVldzmBhKJJDs7qNDH4XDodLozZ87w5qb7+OOP+/Xrp9FogomVU1NThw4dym3CW11dnZ2dHfLKKBSK9uMPskkxgPBdvaRA/Mch1HopIQ3f4ePtmb16SUFbUwueWRC4x9/axlszZUjWC0vm8uYuWznvliff2c4bGvyPTw/6Nep27qih7x/q+CKxZV+ZX8nvPz5z2fvYwX7/k0CT6fz+ipPO6doCGHQcsJHpquvkskH9lQUDNRinLEBIfsOLFfUYo04eo05eMzbAga7cCPj3/a8Zr07OkIpjqwjOwHfX9y31LQ5/74vAFyDqGNkMatx0ZaHVRI27OgtzqXEXt+sCYQu8j9XtdI/yqcR0G+V2mTBu77RfhE3rMsqYLfCSEQNAO17mKJfLQ7t9h8Oh1Wq5a4YMGRJMilpZWVldXc3rk9v+WKqrq6urqxUKxahRowKeqi47O5u7i2CG/foOk7xB/H+RkCShvUO8QuwLAtdkOs8LQOeOGrpp2Xz3W0p6Xr124Zxm20VudPv+oePrFs/xfaq3yQW/5d5994nao6e+8zEJfWXr57xBxzPG5vv+MD85WP7O3n+dMpiiUucj9Q1H6hvIoeOEkD5sz9mjhswaNwIRsHAg+Y2cEETAJvsT5f9JTxZNvS55emZvgUfACHwB4oR8JmlPfgmhxo86HcZr+szlSk+zOvCrRM1jrsnve50lv7Txf13uqLwfzxiALzxGqCGk0+l4A34DmDCt/VBLSkp8aYlrMBh27NhRUFAQ2L5EIlFOTg532G99fX3Ik1/umN8IPBEAAADd1v6Kk9zFPmzPdYvneLn9usVzuNEtIeTA0Wrfx+2OH5bTh+3JDXBX/GPrtieXdJkdN5nOr9+2j7tmypCszH5dN5dvMp1/qbjE3y7GYXXOduGVkiOvlBwZma56+I7fj8/Lwesw6pD8RkF7BBxYNlrf4lhfZVpfZRJmBIzAFyDOMCl5VJzZMZi3uYQ2H2NS8txvyc1qiTjT4218JVYwMs6wX3sdsRs8DOa1GygnlSaJMkY2Dk8ZgC+4QapUKg359r/99lvu4pAhQwLbju+xb/vtnT12Awt/ecN+rVZrQ0ODSoVGewAQFGq9dOmTGsen9RHeb4L6mqRbB2L6Nei2Dp90edPNHjXEewgr6Xk1r2PDD+csvu9O0vPqv86YyG0rfKS+4cl3tq9d6C1utl64OO+pN3gDfh+6fbL3fVkvXHz548/XbP1CsMU/Ut9w899emzIka9X8Gb6k2BA+SH6jKUMqXna9Ytn1iiAjYIEEpv/7jWnJgcYAAl9CyOz+yTdel3xzRm+8KgAEiFE/4tJ4V/cYM2wP/5Km+ZjLXWTTgt2r7CbCHfbbXOE+1pjqVrvudAZJlOD5AvBXyFvZWiwWbjeJYAb87t+/3z32FYlEUqk0KSnp0qVLNpvNvVtuWVmZXC4PoO2DSCTKyMjgTkyn0+lCm/zyjspoNIa81QYACAq1XrIkvxytvV9af7LnS4VXLynAEwHd0PdGl+4Hk0b8tsu7DOqvJJzk99A32sUzJ/m+x7smj+Z1XXAOyO0s/LVeuDhj5YYj9Q3clVOGZHlvlXD01Hf3v/B/0ert4JfdJ2p3L16z9q6pfpURQgvJryBwI+AD+pZ/nv6x3GT3/e7mS5ffPHX+zVPnpUk9UpN6ROtRFJ9u8fcuzsB3nDqZFfXAywBAsBj5VKrnDPu1ldHG9xnlXJfbiNModzkl2AsMJmU45UwuRxL5/7JFm4+5jDJ7FeUvAAAgAElEQVQmhFEvwZMFIAQ6nY672K9fv8C2YzQaeZO5iUQi92YORqPxxIkTvBYK5eXl48cHMt28c9hv+6Jerw9tcQJuQwwAMerSJzXRPQD72yeR/EL3xEtUk33o2FswUBPMHiU9r352wayb//Yad+UrJUdO6H546t6ZvDx3Z2nFg68V80b79mF7vrBkrpddvLL1c+6wYp4BCtmE3Mzrc9L7/io1s1+a702KA1Z3pumsyVJWrTtYVccreLvl7+469I32zYfvicDxgDskv8KSIRVnSMX35/UxWB1f6ls+qD3vbwTsV+/gaEHgCxBz+MN+9asY2QSX9gtiBSNfcKX3QkoRIxsb7C7FCkaz7spO3TfYaqW1i12P8EnM7QbgI5vNFtbtnzlzhrsY8IDfmhqXuEQqlRYVFbmPUJbL5UVFRYcPH+bOKafX6202WwAxK8uyUqmUO9AYDR8ABOjS9hrHP3W02R6tAxDdnJ70h2xfJq+LfJMHnraqH3+uaETPB4DIxI7j83IenXkDrw/DkfqGMcued8ay1/aRnjzduPdELS/zdXrx/81Ok3X6Y+jlG7d01tV3cdHIu38/NvJ9FTL7pWX2Sxufl7Pil7nm1m/b5/7Qdp+onbFywzsr7vPy6CBMkPwKlEIimjNINmeQLLAIWJgQ+ALELkY+lTYWEFvZleVWU1v1/ATXng9M1tOMeglptRI2I1Q7ZeQWjx1+ae3yjjHIhJBEGaO8E08TgI94yW9o+/zy2i9IJJLU1NTANsUbbzthwgQvjSkKCwutVit35K/RaAwsdE5PT+cmv0ajEckvgLBOYks/v7T+ZHSP4edtDRdfONq78l48HQCxwnrhYpe3afHhNl1acdf0H3+64B7RnjKYvLdo2PLQPC8TynUW+y4uGvnA7CIhJKppst6LZ05aPHPSK1s/d89/j9Q3jPzTU0deXoHwN8ISUAKBc0bAn85K/25+9psTlLP7x97UZ7P7J785Qfnd/OyXJ/W7OaM3Yl+AWP3AyHrR9aqrjNY+wr+RWBGq2Ndlm66ofiO/z0PWG+jwCxCw0Pb5NRqN3MWAWz3w4mmFQtHlAN709HQvW/Adr/Eur+MEAEQXtV6Keuzr5BxLi2cEQLCmDMniLvqS6tZ8f5a7mML2DGzXaxfOWVw00q+7BBD7DlDIvnr2L2sXzhFalrp45qRv3lo1d9RQ3vpztgvznnrDGop4HXyHMb8xgxX1uDmj980ZvZ92XP5S37L3+5YA+upGEkb4AsTdaSiDUT9J9Ss7Lr2MmwghTNbTEb3e0z1DG5/lrmHkC0LQXAIAQsRicZkFO+Dpy3i5bVJS1z+pDlULXd4gZfcp5gAgilpr/yugg/l3IF0UpHSpLzf7uaKxJd/ln7p9nKvt4oayCw8cxksFgJfbllXrxufleL/LoW+03MVB/QNvk7J24ZxJI347f927Hrs6cI1MV738wJ1eGjXsLK1wj33njhq6bvEcwXbOlfS8etOy+YWD0u/f+BF3/ZH6hnueefOjVX/C6zNiMOY39jgj4Jcn9WsfBSxNElC0ihG+3UpTU9P27dtRh+6DUS8kKUXcNdS4ycPI37Chxl282JewBYxmBZ6abmXDhg0ogpDxctKAWz3w7sjtIOHlLtzxywGHzoQQhcLl1wa8OBu6oe3btzc1NaEOAIDrqRhSOMjlx0CfHDnh/fbWCxd3n6jlrsm+rm8wBzA+L+ebt1atvWvqAIXM4w1Gpqu2PDRv7/PLvcS+dWea5jz3Dm/l4qKRm5bNF/6EaXcWjd7y0Dzeyt0nal/Z+jlenxGDMb8xrH0UMCHkK33LXn3L9tMtUZzh7e/5v547SIqot1s5e/bs5s2bb7nlFpSi+0jIeb2tLI+0djSoitjIX6rfyB1x7MQo70efh+7mgQceWLJkCeogWLyxugGPw+X1oDCbzTqdznvfXpFINH369MrKSofDodFogkl+pVIpt8mDzWYLOMKG+LB582alUpmWloZSAACup2JFfrbL14ZTBtPO0govHRXe3VPKWzN8wG+CPAZJz6udrW/rzjTVnjn7w7kr/5acfV3frH59fenS8KeX3uOtWVw0cu3CObHyLEwbPXwLIbzwevm7u24YPijy89F1T0h+48QYdfIYdfKaseTRg41vnjofnbNqWi/EvgBxj+qe4sa+V1YaN1FbVULOW+49eUOj1Uprl/N6+/5yPEsZNiv0zYUBIFDcwbm8kbP+UqvV3EneSktLbTZbdna2l8bELMsWFhYG/yh4u7BYLJjkDUCwfOyBEDz39gsAIGSZ/dIGKGTcSdUefK14/LAcj0Nl6840LX93F3fN4qKRIRxUm9kvLYCg872S0iP1Ddw1U4ZkxVDs6zRt9PDXf7rIa/vw+Fvb0PMhMpD8xptrJSIUAQDChNY+4hzh64GtrO3oGEb9OKOcG+Kdmg7S2vvc4+YrWk1tlVMScncj/AWIPyqVipv8EkKOHz9eXV2tVqvlcnlqamr4xuEGM14YAAAABOKxuVO4o03P2S7MWLlh25NLeJGu9cJF96G1s8aN8GUX1gsXK059V/P92R/OmfXGkM0NoJZLr+0jXb9tH3dlH7bnmw/fE4tPxJ1Fow+frH//0PH2NbtP1Hofgg2hguQXAAB84i32dWo1Ud0Saiph1H9hUvJCsEu7oa12KWku6eJmCH8BBMNoNHIXpVJpMFvTaDTffvstr3Gww+HQarVa7ZUJWBQKhVQqlcvlGJMLAAAAPNNGDx/w/m7usN8j9Q0zVm546t6Zw37p5HD01HezVr3Om4dtypCsYV5bPVgvXNzxVcV7X/ybNyY3rN5aepfwe/t2Zt3iOXtP1HLr/OqOA0h+IwDJLwAAdM1D7MsWJOS85SGZbS6hlSU0pYhR3svIxga4u+ZjxLjVc9AszkzIeZc2/q/LXxH+AgiSl7YMPioqKiopKeGFv1wGg8FgMFRXV4tEIrVanZubG3BnYS8MBkNubi6eUAAAgJjz+p//Z8yy57lrjtQ3jFn2/ACF7Ddy2XdGEzcXdurD9nxhSac/ZLReuPjuntL12/bxwuJwmzIka3xeTuw+EZKeV/91xkRuS40j9Q1HT303LOhmyuBdAkoAAADeeY59cz8iYkVC7mZG/aSH+zSX0Oo/tJX9juqeoc3HfN2TTUt1z7SV/Y5W3uAx9mVktyUM20vYDCbraUa+wOVvraa2yinEpsXzBRBPRCJRUVFRTk7X1znOscDFxcXl5eWoGwAAADgNG/Cb1xfe6r7+lMG0+0Ste+xLCHlr6V2dzb124Fj1b+c/vvzdXRGOfQkhD90+Odafi8UzJw1QyLhrPv7ya7xEww1jfgEAYpNNS+1NxFZD7D9Qu4dfGDFiFRFfS9hshs0MZuK1TmPfRMmVHakXkpQRtHYxsdfx72yvo43PksZnKSEkpYhhB5HEZMJmt9+XtFqJrYa0tlDbyS66OiTKeE2EmaynCSEhHvlr01JbLbE3Els1bf2RENJxVGwBSexNCGHYQUSsJOyA0HS0AICuiESi/Pz87OxsnU535swZL+N/naqrqx0OR0jmeWsnkUjwRAAAAMSoO4tG/3DOsmbrF77ceMtD8zobWrt845ZXSo5E5SGMTFfFx9jYeTdezx32W3zoRMxNWBdzkPx2CzbHZVbUA3UAiHmtVmr6kpg+o837Op3x7BeU+z+JMiZlIpHdxMjGdaSuPugy9nViUvKYgn9T/Uba+GKnB9ZcQrvs2NsJRr6A0axwP/LQhL8+VtVWdqUmvzwKSghhCxjZFEY2EV0mAJx47R0sFkuotsyybG5ubm5ursPhMBqNFovFYDCYzWaHw+F+Y61WK5fLNRpNCPeOJxcAACB2rbhrekGOZv66d72M1R2gkL3+5//xGLBaL1ycsXJDZy19+7A9bxySNai/8ppeVw9Q9w3yUFsuXKz5/iw3HiWE3HnD7+LjifjD2HzuQztnu4CGD+GG5Ldb0JrtQxW9QrjBWtNFVBUIIcOHD9+6dSvqEAHUuIuYPqOmDwO8f6uJmj4kpg8pIYzsNiK7iZFP7XqnvsW+7Rj1QkZ5J218z1v+6ydGvoBRL/EyZjmY8JeaDhJjceBVJYTYyqitjOpXEnEmI7+TUd7pV7AOAb4dKEURBCs1NZW7eOnSpZDvQiQSqVQqlUrlbLxrsVgaGhrq6+utViv3ZidOnGhPfi0Wi81m8yuGttls3EWDwRD4ecJmq6ysDMeWO3sKUlNTEVWHHL7wAACup2Ld+Lycb95a9e6e0nf2/ovX5GGAQvbALROmjxne2fxpncW+U4ZkLZg2LuTtd/vKUnnJ74Thg+LjWUiT9R6ZruIWs+xbHZLfsELyG2/y0zwkvOVNP4U2+f3WbHdfiWHFAKHXaqXGnbTxVQ+NFAJ1JQLWd5FU+hv7/vKpImHUCxn1wmCjaraAkc9h5NN8CVIDCH+pcRfVPx3CqhJ7HdWvpPqVXUbVAN2KxwG5oeUMOnNzcw8fPqzVdnT6tlqtzqh3//79vFA4AM555AK7r9VqPX78eDi27EVGRkZ+fn7wM+wBAADEE0nPqxfPnLR45qS6M03WC1cGtKX9KrWzrr5OyzducY99R6arnrp3Zpgiy9ozZ3n78n6EsWXq9bnceh76Rrt45iS8OMMHyW+8UbBXua/85+kf78/rE8K9bD/d4uEaQypG/QFCyI90MlFG2OEua2wVXYy6dSaVjS/ymude2XVgsS8HI59K5FOZ1rW0+RhpLuu6jS8hhC1g2MEk5XdMynB/k1Pfw1//Mt+UIv+qSgg1bqLGTZ21pwDoDqRSaXsr3i578nqn0+nKysocDodCoZgwYYL3HLOwsNBqtXJT1JqaGr1eH4H0WYC0Wq3ZbC4qKkL4CwAA4C6zX5qPt9xZWuHe23dx0ciwdqf94ZzLD5WGaK6Np+JnX+fSEON8xOfK626Q/MYbhUQkTephvnSZu7LcZNea7aFKZj/VnudtnxByY99eKD5AyNi0bbUPtjeW9UCcycimETabYbO89TRwzlfW/G/afNBz1tlqorol1LglIevF9u0EH/tyPmQkjGwskY1lruzOSm1a91sx4rTgB8l2Hf7aDW21S70F0IkyRjaDsAO7mL3NObdecxltLu3sOaLGTdS0zWOqDhD3JBIJN/C1WCy8FhA+cjgcztiXEGIwGHQ6XXZ2tve7DBw4kJv8cocAd0Nms7m8vDy0M90BAADEkKOnvnP2zA3gvtf2Se37q9SWCxcffK2Y96fXF956Z9HosB75ydONrgcjjafnpa/M5ZthZ92TIVSQ/MahW/onv3nqPG/ly0f/8/KkfiHZ/tqKc+4rR/ZFOzmA0KD6jVS/0vPfnM1k5bf4mpOyGQybQeRTGUKI3UCN26nxPQ8RsK2s7WgBo36SUS8MZezr4TNH4i1RDZqX8JfaaqluqecRu4kyRn43I/+Dr7O0OasqG8uQh4ndQE37qXGLhwjYmaqbShJyXsfgX+hWUlNT9Xp9+6LRaAws+bVYLNzhur506cX4Vh6tVoueDwAC9HNFoy83u1zzX/6ahh99ue/lhh9RZOi2rBcuHjhavWVf2e4TteHY/uKikeGOfQkhza7DYHmDZGOd7wOuISSQ/MahG9Uekt/i0y1/NISg2++Wk6b6Fg+/mhyvTkblAYLVam2rvt/zoNSUIkZ5LyMbG/jGxYorHXhNB2njP9z34mz+wM9GQxj7RoTn8PdoQSc1yWTUj/gy2Z23qirnMsq5tPkYaXzLQ1/j5pK2sjwm54OwRt4AgiKXy7mLRqOxy7G6HvHyYl+a4XpJh6VS6YgRI+K++BaLpaysjLeG94wAQNS15Ac4EcKl9ScvrT+JAgJ05pWtn6/ftu9c2LoHjExXhbXJQ2eSO5l3DsAXSH7j0Bh1cnqyyD2fnVtypnxuZjDzsGnN9ic9DfjNl4nR5BcgWDZtW/VdHgbksgWMZnUIc0NGNpaRjaXNx6juMf5I1RiPfa88QPfw18Onn4zRrAsq8+XtNCWPpOSR5vlU/zw/VW810cobSNY7IdwdgJDxEtumpqbAtiMSiUQiUfuwX6vVqtPpNBpNZ7d3OBxeJlLrJh1v5XK5zWarrq7G6xAAALqVujNNf3rpvXD3DXhnxX0oNcScBJQgLs3N8jDto/nS5dt3nrY5Lge2Ta3ZPn3nafcOv4SQ+wbLUHOAoNi0bZVT+LFvoozRbEgYticcw0WZlLyEYXsYzQaS2Mn7NzZj3yuPLutpRr6g078qlyUUHAtHDsuk5CXkbmZyPnGvKq2dR/Ub8UqH7kAkEkmlHd3oHA5HQ0OAl2FqtZq7WFpaqtPpPJ9EbbaSkhIvk7l1n44H6O0AAADdzYFj1Tc9/EK4Y9/FRSPTZL2FX42jp747euo764WLcbxH8AvG/ManuYOkG6pM7iltucl++87TH0zr7+/IXy+xb75MfHNGb9QcIHDO2Nd9vG3OW8HPe+Ydo5zLyCa0Vc93b1PLaFbHdHdaRrOCmrbxq5ooi0DjBUY2lik4RmuX85o/UP1K0trCaB7GSx7iXnp6OneSt4aGBpVKFcB2cnNzebO0lZaW1tfXp6eny+VylmUJIUajsaGhQavVeol9AQAAIF4dOFZ9899e6+yvU4ZkBbbZ87YLvCj5gdlFwq/GjX9Z6zzsPmzPIy+viEBUveDZt94/dNy5x8+e+TN6+AoQkt/4xIp6vDZeObvkjPufyk32/PfrXhuvHONzZ94tJ01PVpzzGPsSQv5eiDc2QBA8xb6MfIGzZUEkiBUJw/a4T+xGq29ncnf7OumZ0LRa2ypvjWbzikQJk7OR6HN4k/XRxmcJm422DxD3VCoVt9usVqvNzc11BrX+fZ9h2aFDh/J6OBgMhi57/kqlUpFI5EtrYAAAAIhddWea5q971339lCFZC6aNG5+XE/CW3ysp5Sa/I9NVwh/wu7O0ov2Yz9kuvPPPr1bcNT2sezx66jtn7Ovc4/MflWxaNh8vS6FB8hu3xqiTZ/dPLj7d4v4n86XLs0vO3Ni315+H/9r7nG+fas+vrTjncUo3p78OlgU/axxA99Vq9RD7ajYwyrkRPhAm62nCDqS6JZxjM7VVTkkoOBaLI3/bqu/njWKOaJjevlP1QiJW0tp53JW0dh5J/CSoyfoABI9lWYVCwQ1edTpdbm5uAJvKzc212Wy8kb/eSSSSoqKi/fv344kAAGHq+VKhLze73PAjbz63q2aorhrd9U8ofi5t+HlbA+oM3cGfXnqPN59bH7bnW0vvCibzdTp8sp67OHZwpvCr8cM5l6luq777IcIH0By2ufUgGEh+49nT45T6ltPlJrvHv+49+9Pes6fTk0VTr0seIBP3lXR0hTtrdZQ1/bT9dEtn43yd8mXiZdcrUGeAgLmPS2WiNw8Yo5xLEpNdYspWU1vlrQnD9sRWVanuGd4ca1GJfX/Z9VQi/oJW3859omntfTE8nhrAN+np6dzkt7q6Ojs7O7AWtIWFhSzLepm9jUuhUEyYMAG9bgFAyK5eUuDLzX6uaOQnv6NVvt4XyS90A7xhuSSkDQd4IWZBjgYFhxiF5DeesaIe68df21l/Xqf6Fsf6KlMAG8+XiT+Y1h9F7ubq6uqKi4sfe+wxlCIAVPcMf1yqX7GvTUtN+3y6ZcoIHzvbMvKppHWDy8hfWxnVPRNDrWlp8zHa+Kzrg/In9rVpaXM5aW3x4Qyb7eO4XSYlj2jW8SP12gdjLlIXjpkzZ27duhV1EDiNRnPixAmr1epcdDgclZWV+fn5gW0tNzdXo9FUVlZ6GfwrkUiGDBmi0eDCDMJi9erVs2fPzszMRCkAANdTAvH4/33KXQxtn9nvjC45SXLPq1FwiFFIfuNchlS8Y1p/7+FvAJyxr7/TxEH8aWlpqaqqQh0C4Dmg9DH2bbW2Vd/PG9baxe5SihJyXvelbwOjnEts33J7/tLGZ4nshnDPihYarVZafbvLGrbA99jXvdlxF7cXZybkvOvL0F1GPpWQd1zCX1sZ1W9k1AvxXgjAtm3bUISYMGTIkNLS0vbF6upqjUaTmpoa2NZYli0sLMzNzTUajdxMmRAydOhQlUoV8JYBfFFVVXXTTTehDgCA6ymB2FlawevzsOp/bg7h9GKnDCYUGeJDAkoQ9zKk4vK5mfkycag2OLt/MmJfgCDR2sUuyylFvgeU/sa+hBDSXNJWfb+Pt2WyniZsgbejFWxVdU+5dM9IlCXkfuTrffUb/Yp9CSHEXtdWfZevVZVPZeQLXPe4kti0eC9AHNNoNBKJyz84HTp0KMhtsiyr0Wh4k8Xl5uYi9gUAAOhW9pR9w10coJDdWTQ6KkfSZDq/fOOWWx9/+ZWtn+N5AQFC8tstsKIen85K/3v+r4PcjjSpxwuFipcn9UPsCxAMqt9I7HUdy4myhJzXfb2z3eB37OvUXELsvk5zn5DzFkmUcXZaR/UbhV7V5mO86JbJ+cD36elo44uB7NVeR00Hfbwto1nBj9T1L+LtAPFtxIgR3EWz2VxZWYmyAAAAQJD2nqjlLj42d0q0jmTqihdfKTmy+0Tt8nd3PfXuDjw1IDRIfruR+/P6VM7NvLFvr8Dufs+A3vtnaeYMkqGSAEFptfJCRkazzo+A0t4U8J79uK9Ywagfd7lv44uk1SrkulL98y5VVS7zr0NFa6C/57LV+HrLRElClstTT00f0uZjeE9AHFOpVAqFy2Swx48fNxqNkT8Si8XSTWrefR4pAAB0W02m87xWD+OH5UTlSI6e+o7bF6Lqux/w7IDQoM9v96KQiN6b2l9rtr970rT9dIsvzX+lST3mZfW+c5BUIcE02QAhQBvfcwkZU4r8mNXNDaPZQNgBnf7Zdspluja/tqycS00lHeOLW0208T3B9qWlzcdchkInyhj1osCrKl9A5DO97a7yhgA3zWYwymXcFs9U/zyTuxnvC4gum80Wvo2PGjVqx44dDoejfc2+ffsmT54c7v4MSUlJ3MU9e/ZIpdK4fyodDofZbMZLGgAA4lvTf13+mXOAQibBDGwAnUDy2x1lSMVrxirXjCXHDT+VN/105Kyt+dLlcpO9/QY39u2VktRjoOzq8erkDKkYFQMIGbcBvwmaJ4LaIDvAy8hWGtzBMuq/0MqOOJU2vsgo7/R9eHIk8Qf8qh8P6jjF13ofL0yDquoiany7I/1vLqHNx2JjAj2II7zUlTtbWsixLFtQUMCd6s3hcOzfv3/atGkiUYD/qDxw4ECD4Ur7Gt6Y4nYqlUqv13N32n6X7kMkEsnlcrzgAQAgvv1G7vmnyUdPfZfZLw2hMHRzSH67taGKXkMVve7P64NSAEQGNX3JHfDLyBcQNkOwR8uk5NGUIpdhv8adjHKu4A6U1/tYnCnEg+z44JUwygepfmXHGuNWguQXIivgyDUwGo3GaDRqtR1TGlqt1pKSkqKiosCORKVSTZ482Wg0ikSi7OzsznZ64sSJsIbawpeTk4NXOwAAdEN1Z5puevgFZ0eILQ/NmzZ6OGoC3RaSXwAIXHJy8uDBg1EH39FGl5ncGOUf+bdotVLjTtLa0ukm7K6to4xbafPXoblxYjIjn8YbKus27PdVAYaqtPFd16p66PNAjbuIvdHXDTYfIXoSmhuLle7dPBjlndzklxo3MZoVwhxMLUwzZsxAEUKL24ohTAoLC81mM7cRgdlsLi4uDrjtg1wu9z6a1WazdfPYlxBiMBhyc3PxCg+JwYMHJycnow4AgOupmPD8RyXtjYDnPPdOfbYmTdYbZYHuCckvAAQuMzPzscceQx18ZTcQW1nHIlvgPuC3rfp+l+GrXaHGTSG8MTWVJLj2nGVS8qg4k9jrfnkIdcSmFdo4ZWrayflYkzHyafwb6De6jLHtUnMJ9f1Z6OrGtLEgYdge189eCSNfwH06qOnLYNo9dzdbt25FEYInlUrbc9jIdIYtKioqKSnh7svhcOzZs2f06NEqlSrku9PpdHiWDQaDw+GI8BDveIUvPACA66kY0uw6/1vTfy1IfqHbQvILABAh1LSfu8go7/f0JaUkmofoae+MchF3mjhq/ITRPCygstq0HcE0IYxshvvgWWp8L6pHWOYelzPKP7oE8abPCJJfiCxeGmixWMI95ZpIJPIY/u7bt2/o0KEhH5rK6+qbkZGh0Wji/ml1OBylpaXcQdwWiwWtfgGE5uKGMl9udrnhR96an0sbfLmjjzcDAIDuAMkvAECEUOMW7iIjGxcTh83IJlDOyDnaXMoQASW/1LTPZVk2ycONONFwdA6y1crwVrEZhDOYmpo+ZMhGvEcgkhQKBTcbjUDySzoJfwkhx48fP3PmzKhRo8J3DIWFhd3kmc3JyTl+/Dhe4QBCduGBw4Hd8edtDT9vQ6oLAAB+SEAJAAAihNvqIaUoZvq6ihWELXB5FK0Cap1Jm49wFxnZ2Fh5OTCyaa4P5BjeIhBJLMtyFy0WS2T26wx/FQoFb73ZbN6xY8fhw4cj0HQYAAAAAKCbwJhfiB/fmi7y1kiTeqAsIBC8XI9JGdnlXRj1k4x6YdgPzIceuIxsCuXE1tSmZVLyhFJZTocKRnZb17dPKeL1Mg7T000rb+jqSAoId8655q+JcKoK3QCvAwCvN0JYOcPf8vLy6upq3p+0Wq1er8/IyMjOzuZl0wAAMSpBfU3Uj6FHX8xPCADQXT+GUAK/qJL5U2R8b/0ZZRGI5kuXeWvyZGKUBQTzAv3aZTFlRCwdPO9oeY8limxal0U2J4aKyk/PbdV4l0AksSwrkXT88sBsNttstkgeQH5+/sSJE90nH3M4HNXV1cXFxQcOHGhowI+aASDmie8dGt0DSPrroIQ0JL8AAN0Uxvz651oJ//qkvgW/SRSKYyY7igDCZf+Bu8TE1OhOhs2g3GXBZJTU3uSyHFt5eqLEpdVv648M3iYQWQqFwmrtaN7S0NCQnZ0dyQNQqVTTp08vLy/X6/Xuf9Xr9c71arVaLpenpqZ2OSpD8C4AACAASURBVFOZxWKxWCxGo9FgMHAfGgBAND/wM3/V86VC+9sn26p+jPzek/46KOrRMwAARPNjCCXwywCphzGkX+lbxqjxj6hRZrA6zG5jfkf2xQ9FQSionTNyTZwZa58VEpIoI62mK49FOBmlrYa7xIjTYqyw4v4ds89x2lYARIZKpdJqOwbO19fXRzj5JYSwLDt+/PiGhoavv/66s6y2PQImhEgkEmcXiPZOwRaL5dKlSw6HgzdrHACAcFy9pODqJQWoAwAAROFqHiXwS4an5Hcvkl8B+FLf4r6yr+QqVAaEovV8x/+L+/t2hhbSiYUd3hFN2ioEWmSxIrZeFAw7iCLwhehRqVQikah9RjWz2WyxWFJTU6NyJCqVSqfTnThxwvtYXavV6rxBJBsTAwAAAADEKPT59Y9CIkp3a/W7/XQLKhN1G7/xMNJnmKIXKgNCwZkhzUfUuIUad5HWsP1gudVKjbuoabf/dzQJpKi0+Yj/T0QFbXyf2MOYGVHTQdL4lk835YX7diRZEGlqtZq7WFNTE8WD0Wg0s2bNGj16dPt4XgAAAAAACAbG/PptTN9evN6+5kuXP9WevzmjN4oTLccNP7k3XM6XiRVufZkBhIBJGenT7WxltLaMEsLIbiOymxjZOJIocbuNlpr2dboj2UTCZvDXtlqp6Uti+oyaPoyrsqYU+XSzVhPVLaE6QtgCRj6HkU3wMFLYbqDNFcTe6EdVnYGv6XNq2hZwMk7tTYwYgRdEVHZ2Nrfhg1arzc3NdbZTiBaNRqPRaGw2W0NDQ319PXo4AAAAAAAEDMmv32Zk9n7z1HneyuWHDePUyayoB+oTFU8cbnJfeXsWsviws1qtTU1NmZmZKEXIsAXuo4Op6UNi+tA9Aqamg7T6D142RvUrmZxPGNlYQnwLfNn47EDHyG7z8KhtZVRX5iECthvajo7xkt5S/UpGuYzRPPzLs9NV4Jsoi70GxMJWUVExfPhw1CEkUlNTFQoFt3NCZWVlYWFh9M+FLJudnZ2dne1wOIxGo8ViMRgMNpvNSy8IkUgklUqlUqlzLrhDhw6hIwSEUF1dXVpamkQiQSkAANdTABBDkPz6baiiV3qyyH3Y78aj55Zdj7FaUfD6sXPlJjtvpTSpx9RMJL9hV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class="img-fluid quarto-figure quarto-figure-center figure-img" alt="Source: Adapted from Poethig et al 2018 in collaboration with community stakeholders across the country"></a></p>
+<figure class="figure"><p><a href="../www/images/building-blocks.png" class="lightbox" data-glightbox="description: .lightbox-desc-2" data-gallery="quarto-lightbox-gallery-2" title="Source: Adapted from Poethig et al 2018 in collaboration with community stakeholders across the country"><img 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class="img-fluid quarto-figure quarto-figure-center figure-img" alt="Source: Adapted from Poethig et al 2018 in collaboration with community stakeholders across the country"></a></p>
 </figure>
 </div>
 <figcaption>Source: Adapted from <a href="https://www.urban.org/research/publication/inclusive-recovery-us-cities">Poethig et al 2018</a> in collaboration with community stakeholders across the country</figcaption></figure>
@@ -11994,7 +11994,7 @@
 <div class="cell">
 <div class="cell-output-display">
 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/fg-policy-areas-allocation-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-3" data-glightbox="description: .lightbox-desc-3" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/fg-policy-areas-allocation-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-3" data-gallery="quarto-lightbox-gallery-3" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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qTb+/uLiT8EAkAeZc4ihFevXlUaab+QnnWLFi1ScouffPLJV199pdbxqFq1as+ePVu2bPn7779PnTq1S5cuVapUSXWuwWAICQm5efNm/vz5lS0//fRTx44dt27d2rFjx+Dg4GnTpqnzGStUqNC4ceNSpUop11JKV9uuN/MYjca1a9fu2bNHzbOUK1euUaNGXbp02bx5859//nn27NnMn7ZGo1GiKlKkiLKlSpUqaZdlGzly5IYNG0Rk0aJFc+bMSbU3MTFx3rx5IjJo0CBnZ+eMrvXmm2+++eab77zzTvfu3bXa5L9hVKhQoUWLFgULFjQYDGPHjl27dq2Ft/n1119fvnxZRIYMGfLtt9+qF6pVq1afPn1q1aqVUZrbWpYuXaoM0Z49e65YscLOLvlfqpUqVXrnnXe2b9/eqFEjddxaMp6z++qbfa0cGOrZemhWUbVq1U2bNonIpUuXXn/9dWXjggULfv/9dxGZOnXq6NGj1SvWqlWrU6dOlStX3rdv36+//vrmm2+KyLBhw9asWSMiGzduHDRoUKr+ExMTFyxYICLvv/+++qbIVv+Zs3DkzJw5c9++fc2bN1e2KCOnatWqo0ePTkxMnDJlStq3ubWGgdkPIesDPosfa5mIi401GAxZPx6ArUV/c8D5P9WUtlNAeb+A8sk7Mv0/g10RL+9vOyntyMGbjI+eXa9D6+vqObGN+qPz29XVtmOTso5Nyhq/fCOs05Kk4Ay/cg4AL6Wwi/M8S3VQ2u7FWijZYRHJ+q/ojt7l/Dv8O9nZZNSHBS4KD1xkMqb+pcvBrfArDWcr7XtHhidlNska+NfT6AzXIgZgOy6urmrmzRbMSUA/fJi8JK6aFMiuuLi44cOHi4i/v/+sWbNS/d/O0dHxp59+UqbTDhgwIN3v7B84cEDNnoiIRqMZM2bM1q1bg4ODXVxcPvvss5QH+/v7t2rVau/evadPn46Pj3dycrJpb+Y5dOhQw4YNU27RaDSTJ09WKlrs3r3bknS/qlq1asWLF79169Z///vf6dOnp0rl7Nu3T6/Xi8jQoUMz6cTT03Pnzp1pt+fLl6979+6rV6/esGHD6tWr0x24WbzNuLi4sWPHikjhwoXnzp2bqisfH5/Fixe3bNkyi3etCg4O1ul06e5q1arVjh3//iKVmJioDFFfX99ly5apiVSFVqvt0KGD+qPl4znrr76F17LpUM/WQ7OWggULKo2wsOTfaOPi4kaMGCEi1atXT5kYVVSoUGHKlClffPHF8OHDldxozZo1CxQo8PDhw+nTpw8cODDV8WnfFNntPxOWj5xdu3ap2WfVyJEjZ8+eHR4e/s0338yYMSPtmLd8GFj4EHLm405EIiMjrV553KaykVwHXkxJN8Ijhmzynp96/WrfLQMSjoY8XfR7wu/BqWY3a+zt8q1Prvket+OvuJ1ZKh7qOaFNqi2G+1FaDyeNS/JHotbXNf9vQx/UmPHMydcA8DJJjLp598iIwo1Sz1Eo/saGmNDj4X8tibl3LFvzlJPiHiVGXjOZUmefNVp7tfRz1M1fo27utiRs5CmPHvHnYSAXFHV2tmkC2pyu1e9Hmz2T8ciRI8qstEmTJqV7e/nz51e+FX7q1Kl0P32Uwq8plS5dWmm0aNHC3j51Yl1NVqpZKtv1Zp50F/3z9/dXGmnLuZpHyfKIiMFg2LVrV6q9U6dOFZHKlSuXLVvWvP6VtJHRaHzy5Em6B2TxNn///XdlhEyYMCFVHlORrVmQKekzkKqe7PHjx5W81cSJE59ZZ8by8Zz1V9/Ca9l0qGfroVmL+imkTnQ9fPiw0p46dWq6n1Hdu3cXkWvXrikVKjQajfLXjjt37ly5ciXVwTNmzBCR4sWLq69RdvvPhOUjp27dumk3arXaYcOGKe2goKC0B1g+DCx8CDnzcQfg+RT3y8WHjb5JPJN6rSrH10vlW9unwJGP7Yr5pNzuMf5N+5L5RMQYERv5cTrrTKSldXdyfquq+mPUjL2hpSc8qDUztOzEB7VnJRxNLtmkcbDzmp3+2tEA8BKLur4tZEvLuIfnUm13LVS/WMsVpTr+5uBeNJPTTUZ9yhULHVxfKdxkXvHWazXa//n9v2DtMTqPEiJiSIgMPTpSAAB5mzkzoPPly6c00l0eLStOnDihNDJZw7Bjx44///yziAQFBaWcrJcRNSPp5+eXdq+3t7fSiIuLy0qE1u3NbGoWL6PqtGZ4++23+/TpYzQaJ0yYkLLQc2ho6PHjx0VEKeFqHvW5ZWvWYdrbVCIRkcaNG5sdTFp+fn5KuYO0XFxcUv6olhpo0aLFM7u1xXiWDF59q1/LikM9Ww/NWtQvZKhJVXWmcLrJWRFR5hSLyO3bt318fESke/fuysqc33///bff/ru694MHD5QqE2PHjlXTrGb0nxEbjZyUsV2/fj1t7Y60sjsMrPgQVLb4uHN3d3f+37f2c455mMgjkq6HhXVcbFfQw+Xd2u4jmqXcZV8iX4HDwx/W/9oQ+kREHF8v5dr3NWVXeI+Vpjh9Vvp3qFZYbUfN/O3p/MPqj4bQJ+E9fihwcLiS1HYKKK9xczQ9zcbKsQDwEkiMunFzV1d7lwLeZbv5VvufBep1HsVLddwb8lNTfcz99M99EnJtYz0RjYNrQd+qQ7zKdhMRl4K1C9T+/MGpycoxroXqe5fvqbRv//aeMcm2/2rGS8Y7a/98AGBdNp3+LOYloNW5cufOpf6raRZduHBBaaSdiKcqWbKk0rh69WqqL2unS00PpfvIsjtZ27q9PVdcXFw+/PDDhQsXBgYGXr9+XZ11+MMPP4iIg4NDVgrXKuLj40+ePHngwIHAwMBr167dvn07JibGKkH++eefSkMtsGAVbm5uZcqUycqR6hzMrARgi/GcY9ey4lDP1kOzFvWi6qRadfAUKFAg3ZsyGpO/VHj//v2qVauKSL58+Vq3br179+5FixZ99dVXas0KtZR5586d1dPN6D8jths56kvwzz//ZOX47A4DKz4Em3Jzd8+tS5uHBDTyFMODqLitF91HNBOjKfbHP1y61lS2axzsvOd3CXt7idbL2WdFcv4i+r+H9BfvZLFnhyr/1oiLWZxmHd0kY9SUX32W9VB+si+RT//XPUtuBABeUEmxD5/c2OFb7SMxGSODt3iVSa62r9E6vNLom1u/vpPp2SZ9zP3Q42O1Oi+PEq1FxKd874dnZ5kMCXaOXkWaf68cFBa4MC6ML7che7y8vHI7BADWZ04CumjR5K/knDlzxmAwpFshIXMRERFKI6OCvCLi5uamNDIq5gCzDRs2bOHChSKycOHC2bNni4jRaJw1a5aIfPzxx1mpbhEZGfnll18uXLhQTTNZl1ptwOxSGxaKjIzMegA5OZ6f5/dOth6atRw6dEhpqH8YU2ffGwyGzBegS1lrYtSoUbt379br9QcOHGjdurWIGI3G6dOni0jnzp09PT3VI83rP122ezXV2cQ2+paGFR8CgLxM6+UiIobQJ5GfbIn+ap/vrkF2BdxFRFe3hMbR3rljVY1z8qeZ+5DGboNS145X24X+HmcymfQX7oa99b2IaL2S14xNuhFuSvifElvJ24Me/BuDz4v0PQkAsC47naeI6GPvhx77/NH5b0q2+9neuYCIuBSsrbFzNBme/QWRJ9c2KQloEXFw9UuMuuXh305rn/w57Fv5w3yVBqQ8PuWnd7keF00mU3xY4M1dqdcGAAC8ZMxJDXh4eJQrVy4oKEiv11+4cKFmzZrZ7UHN5uj1+oxyVepcWvcXbQrb869s2bJVqlQJDAz873//O3XqVEdHxxMnTijZw0GDBj3z9JCQkCpVqsTGxopI4cKFe/ToUbdu3UKFCnl4eCxZsmTu3LmWR+jsnPwri40S3M/k4eGhNBITE5+5+F5Ojufn+b2TrYdmFXfu3FEKAXl7e7/yyivKRnXy75UrVzL/85g6/V9EGjZs6OrqGhMTM2vWLCUB/ccffyglj5XV9lTm9Z8u272aT58+VRo2mj5gxYcAIC9Tkr+GO5EiYrgfFfnxT/nW9lF2aTyc9JdSlHrTajTajD9t7LQaEbFP/kKGMfz/v4/1v+sZpuxNbZqiqb8BIO+yc/IWEf3TuyKSFPvg3u8ji7X6IXmXzj0pLkFENHZOLgVr6Z/eToxKXb5fRAwJ/06S0Ng5ikjC4xSrqmi0Gk3G3+nW2Gk0Ipl8vAMAXhZmzk374osvevXqJSKjRo3at29fdk+vUqXK9u3bRSQ8PFyd35fKzZs3lYbZC+LlitxKmGbX5MmTO3TooNfrd+/e3aFDh6+//lpE6tSpU7x48cxP1Ov1devWjY2N9fLy2rVrV7169VLuLV++vFXCK1WqlNKIjo5Wk9E5qXLlyhs2bBCRBw8eqHnVjOTkeH6e3zvZemhWoUzbF5ExY8aokymqV6++YsUKESlWrJhLluv/2tnZjRw5cvz48QcPHgwLC/P19Z03b56I5MuXr06dOimPNK//dNnu1bxx44YZZ2WdFR8CgLxM6+smIkq5ZxEx3I74d198kj7wnv7KfbtXPNM9V6PVatyT/3Rnik4wGY36P24rP+ovJ2eu7Uv5ir1WklL/buZQ9d8i0Uk3rVZ3HgBeOPbOviKSFJP8salkohVGQ4KIuBaqV6zVD6KxE5Px6oY6hoTIVD04eBRT20lxYSISF/ZXQkSQvWuhdK+o0dhpHZJ/7zXqn5pMhrhHF6x2PwCA55WZCehu3bp9+umnDx8+3L9//5EjRxo1apSt0197LXk9mVOnTmWU8dy2bZvSKFeunHlB5iStVmtnZ2cwGJQpk8+/N954w8nJKT4+fuLEiU2aNFFWOZswYcIzTzxz5oyyRNjPP/+cKvtsRRUqVFAaISEh6mpmOalWrVpK49ChQ88sG52T4/l5fu9k66FZ7p9//lFyxB4eHgMHDlS3q8viBQUF1ahRI+sd9u3bd/z48SKycePGvn37rlq1SkQ+//zzVDWOze4/Ldu9mlu3bjXjrKyz4kMAkKdoPZw0Hk7KlGcRsSvoLiKGe8kJaIdqybWbTbGJxqcJYjI9ajkvo640OvtC15OXTb5ffbop/t/1CRPP31bbzm0rx/1y8X9OdLT3HJ+83IX+r3vGCKqvA8hD7HQeWp27mmhWCm7oY5PXG3TOn7x4tTEpzpj4VEQSIq+Jxk5ERKP1e23C3cPD/6c7jV3+qkOVpiHxiSE+QkRMhvjrW9tmFIDGTleu52WlfXXDayZDNtauBwC8uMxc4tDBwWHNmjVKu23btrdv3878+PXr1584cUL9sWnTpkpOZ/z48SZTOt+OfPz48aZNm0SkWrVqObmgmSWqVKkiImfOnElKSqfa4OXLl3M4nnQfrMrBweHTTz8VkfPnz0+bNk1EXFxcWrRo8cxu1fmYr776atq99+5ZZxmfxo0bK43vvvsu3QPUyr820rBhQ2WIjh07Nt0XNKWcHM/P83snWw/NQtHR0U2bNlXaq1evTjkJt2bNmsr86y+++CJbfRYtWlSZ7Dx//vzjx48rG3v27JnqMLP7T8vyVzPd+suPHz9ev369iFSsWLFQofTnnljIig8hWzL/WAPwnNM42hc4+knBk595Tm6ncdGJiLagh4gYHkSLiNbdyWNschXRmB9OigXvd1N0wtPFx5S29387O7etpNbcsCvm47v1A23+5KJGkZ/9bPZVAOCFo7FzLPWf/aU7HfarO14p02zvUkBEkmIfiohW516g1ijlyIgrq0RMIpIUFxZ5bbOy0aNkW7/XJqr1ne0cvYq2WKLzTK639vDMDOUUAADSMjMBLSItW7b86KOPRCQ6Orp06dK7du1K97D4+PjBgwd37969YcOG169fVza6urrOnDlTRIKCgtJmXhITE7t27aq0lyxZYnaEOaxz584iYjQa161bl3K7yWRasmTJhx9+mDNh+Pr6Ko1//vlHaRiNxnSzNmpISh2DkSNHqguXZUKttHvq1KmU25XbnDhxormB/49KlSqVLFlSRFatWvXHH3+k2jt//vxx48ZZ5UIZcXZ2njp1qog8fPhw8ODBqSqrJCUljRw5cunSpcqPOTmen+f3TrYemiXOnj3r7++vfJ589NFH7du3T7nXzs5OucqePXu+/vrrtIM/MTFx5cqVFy9elDTGjh0rIkFBQcrc6qZNm6ZN+1rSfyqWv5offvhhqlx/YmJip07JK5jPnz//mTGYx4oPISuy/rEG4HnmMTpAKfrs2vc1v8tjPSe3c6zvLyIOZQu4f9Sk4IXRygqEpoSk6HmHLLxW9My9hn8ei4hoNd7fvfPKzckFDg33u/xlweOfOFRK/k0m+uv9+j+t84dzAHghFKj5qVL02bt8z7Ldz/vVHe/q95qIOHqV9q0yqGzXk8qEaJMhISxwkXrWg1MT9THJU6S9y737ao8/S799sEzX42XfOetWOPmb0E/vHlHz1AAApGV+AlpE5s6d++WXX4pIYmJimzZtKlWqtHDhwrNnz16/fv3vv/8+ePDgmDFjvL29Fy5cKCINGzb08/NTzx0+fLjyhf3Jkyc3adJk586dwcHBV65cWbt2bdmyZZW60uoxL4SBAwcqkxl79+49ZsyYwMDA4ODgX3755fXXXx8wYEBAQEDOhNGwYfIa8R06dNi9e/fWrVsrVqy4aNGitEcWLly4SZMm6o/9+/fPSv+1atVSbrNLly6rVq0KDg7++++/f/zxxxo1agwYMGDAgAHP7CErNBqNmqmsWbPmjBkzAgMDQ0JCduzY0aJFi6FDhw4dOtSMbmNiYm5l6u7df6uejRgxQpnlvXjx4rp1627fvl0ZouvWrStVqtRXX301aNCguLg45eCcHM/P83snWw8tE2lfqRs3bpw7d27p0qX169evXbu2Uutm2rRp6S562alTpw4dOojIp59+2qBBg61btwYFBV2/fv3EiRMTJkzw8fHp06dPw4YN9Xp9qhNbtWqlLKmnFL4YPXp0uuGZ3X9aFr6aW7ZsqVy58qZNm65evRoUFLR27doylf45kwAAIABJREFUZcocPHhQRDp37pzyDW51VnwIz5T1jzUAz7PYjefUehcaezvXvq/Zl/IVEZd3a7uPbKlxTK4LF95tueULA5oSkh62mp9w6Gryz1qNfen8Wo/kBXJNSYaIoZuivzlg4VUA4MUSee0ntYizRmvvXb6nMn/Zq2y3/DVGKEsIisitPb2M+qfqWcakuBvb2yVE/K1ucXAvqqSqFRFXVt/Z35/pzwCATJhZA1qh0WgmTZrUrl27rl273rhx49KlS4MHD057mIuLy/fff//uu++qq4SJiL29/dGjRwcMGLBq1aojR44cOXIk1Vlz585VZli/KLy8vH799Vcl0Txt2jSlroVi5cqVb7/9dkaLjFlX69atS5YseePGjaCgoDfeeEPZOHv27IEDB6Z8/opx48YptSyaNGmiTm3OnJub28qVK3v27KnX63v37q1ud3d3P336dLly5RYvXmyVG2nWrNn8+fOHDBkiIqNHj1ZTgQ4ODgcPHqxdu7YyRzVbQkNDS5QokckBpUuXvnbtmtLW6XRnzpzp0KHDwYMHz549m2qarb+//4EDB9QFEnNyPD/P751sPbRMPPOVUhY8VGuFp6LRaH766acvvvhi1qxZJ06ceOutt1IdULFixZ07d6ad8u/o6Dh06FAlqe3k5KRW+bBW/2lZ+Gp+9913w4cPVydKq957773vv//+mVe3hBUfwjNl62MNwHNLf+X+gzqz3Ic3dRvYSK2J8T8HXAp93H+t4Z+ItLvMYHqaEN5jpa56Uef/VHNs4G9fytcUq084czNh/9+xWy5YnuMGgBdOQkRQ8I8NfasOzldpgGjSmYsW//jKnQMD9U/vpNpuiI+4vrWta6HXPEu/7exbRedR3GhITHh8Jebe0cjgn1IuXQgAQLosSkArateuHRwc/Mcff+zdu/fw4cMnT558+vSph4dHrVq1XnvttSZNmjRs2FCn06U90dHRceXKlSNHjly1atX+/fsDAwMdHBzq1q0bEBDQu3fvlNOlXxStWrW6devW9OnTd+zYERoaWq5cuU6dOn344Yd+fn4mk6lKlSqBgYG2jsHe3j4wMHDChAlr164NDw+vUaNG3759+/btm26aRs3fZauiRY8ePV599dXJkycfOHBAr9dXqVKlb9++ffr0Uerw1qxZ89y5c1a5l8GDBzdt2vTbb7/dvn17WFhY1apVu3Tp0r9/fy8vL5PJVLly5T///NMqF8qIu7v7/v37Dxw48MMPP+zfv//hw4clS5Zs0qTJ22+/3aJFC3v7/3n75OR4fp7fO9l6aFmn1WoLFChQv379119/PSAgoHz58plnHu3s7GbOnPnBBx+sWLFi796958+f12g0pUuXDggI6NatW+3atTM6feDAgUoCesSIEZlEa3b/aVnyanbu3LlTp06zZ8/+5Zdfrl275ufn9+abb/bv37927dpZvLolrPgQMpetjzUAzzNTnD5q+t7orw84VC3s1Kys29AmIhK/90rC4WsJx64nhYRlvfSzKTHpXpExzzws8fztlGsSAkAeZ0yKe3hu9qML/3XKV9mtSBPfKgNFJPr2/pi7R2JCTyY+uZ7xRGZTTOiJmNATGezNKpMh8coPpS3sBADwwtFQRjMvmzZt2pgxYzw8PB4/fqxUHgDw/Pvyyy+nTJkiIuHh4T4+PrkdDqwmK9k04KWhcXYodG2CiISWn8R8ZMBGnkzZmNsh4PmltXd+tcefIvL32mopa24Auat8n+DcDgGA9VlUAxovtMTExMmTJ4vI2LFjyT4DAICcpHH5/6/HxSVleiAAwCY09smV8UyG+NyNBADw0iMBnXf9/PPP8fHxItKnT5/cjgUAAOQtWjdHEYk/8LcpyZDbsQBAXmTn4CYiT+8cMhn5QyAAwLasUAMaLyKTyTRq1CgRadOmTf78+XM7HAAAkLck3XpM2RkAyEWJ0f9QjhkAkDOYAZ1HnTx58tatWyLyxRdf5HYsAAAAAAAAAF5OJKDzqDFjxoj8H3t3Gl9Vde8NfJ3MAwlzAEFkEARURAWxUBXqgPWqqFVaR9DeorZqUe+tD06giFrb2vbS3t6KVi1Va3HCeSiWKo5oRRRBBSooIpEhTJnPOc+LQ2MaAoRhk4Df74cX66yz9t7/jU1Cf1nnv8PAgQMPP/zwxq4FAAAAANgzxZLJZGPXAAAE7QgA2LnW3PRgY5cAsG16j1rQ2CUAO58d0AAAAAAAREIADQAAAABAJATQAAAAAABEQgANAAAAAEAkBNAAAAAAAERCAA0AAAAAQCQE0AAAAAAAREIADQAAAABAJATQAAAAAABEQgANAAAAAEAkBNAAAAAAAERCAA0AAAAAQCQE0AAAAAAAREIADQAAAABAJATQAAAAAABEQgANAAAAAEAkBNAAAAAAAERCAA0AAAAAQCQE0AAAAAAAREIADQAAAABAJATQAAAAAABEQgANAAAAAEAkBNAAAAAAAERCAA0AAAAAQCQE0AAAAAAAREIADQAAAABAJATQAAAAAABEQgANAAAAAEAkBNAAAAAAAERCAA0AAAAAQCQE0AAAAAAAREIADQAAAABAJGLJZLKxawAAAAAAYA9kBzQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJHIaOwCAIAQQvi80zWNXQIA7Pb2+mxiY5cAAPwbO6ABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAgK+jjJ5FOcf3ieVnNXYhAACwJ8to7AIAAGCXS08revHHIYQvDr41uaGysasBAIA9lh3QQCOYOHFiVlZWVlbWU089tRNP++mnn1555ZW9e/fOzc094IADXn311Z14cgD2JLHczNQgub68cSsBAIA9mx3QQCOIx+NVVVUhhGQyubPOOWXKlPPOO6/m5dy5cxcvXjxo0KCddf4d9+qrrxYXF5988slpaU39l3+7UakA2yStbbP8M/tnH9srs0+H1EyLn59W9sjsipcXJiur6z2k/ZxrYoXZmzth5SuLVp59z6bzsdzM3JP75hzfJ/OgjmnNc+OflVS+/s/Sqf+ofPvTsPN+9gEAQNMngAb2BAsXLkylzwUFBbfffvvAgQNzc3M7d+7c2HV9JZFIDB48OIRQXl6enb3ZIKMp2I1KBdgGsVj+qIHNJ5xUZzp3eN/c4X2T6ytW/+jB8ukf1j0oPyutVd4WzpqsqCe2zjlh/5a//W4sM71mJqN7m4zubfLOHlD51pKV596TXFexvbcBAAC7GQE0sCeYOHFiavCPf/xj3333bdxi6rV27drGLqGhdqNSARqu4PKhBVccvbl3Y82yW9173prrnthw9+u159M7tkgNkmVV8eV1vz1WL1yx9oan60zmnnJQy9+MqHmZXF+RKK1MLypIvczq37nttIuKj5sUqhPbfS8AALAbEUADe4InnngihNC3b9+mmT6HEJYvX97YJTTUblQqQANl7Nu2Jn2OL1m1duJzmQd0aHbpkKo5SzdMebPgyqPT2xeGEMqfmlvnwMze7VODtTc/Wyebrlda24Ka9Ln6o+JV3/9T9SerQjKZVpBTeN3xeWcNCCFk9CzKO+Wg0ofe2Vl3BwAATZkAGtjtJZPJFStWhBD233//xq5ls5YsWdLYJTTUblQqQAM1u+So1KB6wZdfHjspWRVPKyoIIVS+u7T0gbdKH3w7e3C3xOqyePG6Ogdm9uuUGlR98EVDLpR/7oDUIFkdX3HaHYmSstTLxLrykv83Lefb+6e1zAsh5J4qgAYA4OvC06WAPUdGRtP9pdrChQsbu4SG2o1KBWig3OP7pAbrfvW3ZFU8hJBe1CyEkEh11UgkK15eWPX+55semP2NrqlB/JNVDblQ3umHpAbrf/NSTfq8USJZ/vy81DCja5ttvgcAANg9CaCBpmX8+PFZWVnjx49PvVy0aNFVV13Vo0eP3Nzcgw8++NZbb92wYUPN4v/7v//LysrKzMxMvZwyZUpWLdOnT699zksvvTT1cs6cOaNHj27Tpk1hYeHhhx9eWVlZu4CqqqonnnjiBz/4Qffu3XNzc3v06HHllVd+9tln9VYbj8cfeuih4cOHt23bNj8/f9CgQbfcckvtFharVq0aPXr0oEGDLr/88tRMfn5+TYUXXHBBnRvfQpGJRCJ11GmnnVZvMTNnzqxz43XMnz//mmuuGTBgQH5+fps2bYYPH37vvfeWl5dvU6nbXcY2/VcIIXz44Ydjx4495JBD8vPzO3XqdMEFF7zyyiv1XhFgK9JisWYbH6marNz4zMC0doUhhHjx+i0dmJ6WecBeqWF8xRZX/svywb/4os+E5Yf/bN0v6vlWHMvfWEb14gbF2QAAsAdoursFga+neDxeVVU1derUcePG3XTTTddff33NW7Nnz549e/Yvf/nL2bNnd+jQIYSQlZVVVVVV+/DaL5PJZO1zPvfccyGESZMmXXbZZTVr5s2bl5WVVfNyxowZp5122urVq2tmFixYcPvtt99+++1Tp049/fTTa19rxYoVAwcOXLRoUc3Ma6+99tprr1199dX/8z//c8kll8RisZKSksmTJ9e5wXg8nhpXV1fXufEtFJlIJFJ3V/uo2pLJZGpBzY3X/mv50Y9+VLuS0tLSxx9//PHHH7/88suffvrpww8/vOGlbl8ZDf+vUFVVdckll9xxxx21q7377rvvvvvu00477f7778/Ozq730gD1SyST6ypiBdkhhGbfH1T+zAchmUzv0DyEkNhirJzeOj81SFZUF149LKNH2/SigsTqssp/LCl/fn7VnKVhk++3IZlMrC0Pa8s3PVssPyvn2F6pcdm0d3f4rgAAYPcggAaaovnz548cOXLKlCknnXTSxRdf3LVr1+XLl996663PPvtscXHxsGHD3n333VgsNmrUqEMOOWT+/PlnnnlmCKFPnz6PPfZYzUk6duxY+5yLFy9+7rnnLrvsspNPPvnKK68sKipasmRJzf7fEMIDDzxw1llnhRD22Wefa6+9tn///llZWe+9995ll11WXFx8xhlnLFq0qGvXjZ/FTiQSQ4YMSaXPY8aMOeuss5o1a7Z48eLJkyc/8sgjkyZN+uEPf5ient61a9cFCxYkEolLLrnk+eefDyG8+eabLVq0SJ2ksLCwzo1vtcjtEI/HjznmmJdeeimE0KNHj3Hjxh100EEhhHffffeGG274+OOPf/zjH7/++uvbWur22eoNxuPxo48++uWXXw4hDB48+Kqrrtp33303bNjw9NNPjxs37pFHHjnxxBOff/75WCy2U+oBvibKX5iXe1q/EELWwC6t7jy75KpH0/dqHkJIrC7dwlEZ3Tc2yohlZzS78Js189lHdC/48dDKNz5Z9f0/1e2zsalYLJabmXVQx+a3DI9lZ4QQqt7/XANoAAC+PgTQQFOUSCTuu+++55577rjjjkvN9OrV68gjjxwxYsRDDz303nvvvfXWWwMGDEhLS+vXr99BBx2UCqBbtmzZo0ePzZ2zsrLylFNOue6662688caac9ZecMIJJ5xwwglnnnnmWWedlZa2sUNRnz59jjnmmHbt2sXj8Wuvvfa+++5Lzc+aNWvu3LkhhHvuuWfkyJGpyd69ex9//PFLly7NyclJT08PIcRise7du4cQOnXa+Birvn37bmED71aL3A533nlnKn0+99xz77777lRhIYQDDjjgzDPPfOKJJ4488shUnrtNpW6frd7gb3/721T6PHHixLFjx9YEzf379z/99NMPPPDAv/71r88888wJJ5yw1WsVFxdXVlTs3PojpSsWRGfdL19MBdAhhJxhvdsP673xjS3+Miujd/stvJs1sEvR3368/IhfJtdv9ltNZu/2bV+4tOZlsiq+ftKM9ZP+HqoTDa4d2DafffppY5cAALuZDh06pEf5VC0BNNBEzZgx44gjjqg9E4vFJkyY8NBDD4UQnn322QEDBmzrOffee++a7tKbat68+VNPPbXpfOvWrc8666wpU6b8+c9/njJlSiqbnjNnTurdU089tc76Ojuvd26R26qysnLMmDEhhDZt2tx111016XNKWlra8OHDd9a1GmgLN1hWVnbFFVeEEA4++ODa6XNKnz59brrppquvvnrMmDENCaDj1dV1OrQ0cRqLQHSq/7ly9SV/afmbEXXm2zwyumLmwvW/e7ni5QUhUbefxoa7X6/4+8c539qv8p1Pqz5cnlxfGdJjGZ1bNZ94cvYR3UMIaW0Lmo//j5L/eqSBZSSK11V/VJyMS58hQrvXT38AaAo26Su3k9luBTRR+++//6aT3bp1Sw1q8t9tcscdd9Rsbd4mqbA7kUisWbMmNVPTmyK1D3on2u4i6/Xqq6+mGlzccMMNNU9rbFxbuMG///3vqa7TEydOrLfJRqpHyscff7xqled3Adum7LF3i4/8ZeWsxXXms7/ZvfV9o4peujy9c6u6xyST1QtXrJ/8SuVbS5LrKkIyGaoT1YtWrDz77qo5S1NL8r53aKq7dL2SVfHEl+tqXqZ3bNHy/85sM/U/Y5npmzsEAAD2MHZAA7uTmgh15cqV23F43759t++6NZ0oaroVDxkypGZwxx13jBgxIjc3d/tOXsd2F1mvN954IzU45phjduJpd8QWbvD1119PDQYOHFjvgqKiotTg008/bdVqk6jo33XYa6/tKrDRfN7YBcAer3rRihWn3pHerjDv7AEFV3yr9lsZXVoX/X1M8aBfxJet2fqJEsm1E55pPfU/U68ye7evfLNurr3xigu+/OLgW0Mslt6+sGDM0LyzB4QQsgZ2Kbzu22uuf3JH7weoT9d/7VcAAJoIO6AB6iovL58xY8b1119/yimn7L///oWFhRdffHGdNW3btp02bVoIobKyctSoUXl5eaeccsozzzxTWVnZGCVvVs1W8Xbt2jVuJQ3x3nvvpQZFRUVZ9SkoKEgt+OKLLxqvTGD3Fl++tmzauyGEkEiWPvh2zXwsM33THh2bU/VRcc04Y5/WW1mdTMaXrSm56rGyp95PTeRf8I3UAwkBAGCPJ4AG+EpJScmll16an58/dOjQCRMmTJs27YMPPli3bl0iUU+/zpNPPnnJkiUXXHBB6uW0adNOOOGEgoKCX//61/WubxQlJSWpwU5/nGAUajaYx+PxqvqkGnSEEDKifDwCsMdLa5EXQogvW1Ny5SPL+/80XryxS0bWwC4NzYUr47VOt8VHGdZS+sBXeXd6h+YNPAoAAHZr/g88wEYLFy7s27dvaWlpCKFjx47nnHPOwIEDO3ToUFhYOHny5F/96lebHrL33nvfddddv/3tb1977bU//OEPf/rTn1IP/XvllVf+8pe/7PI7qEdhYWFqUFlZmZOT07jFbFXNNu158+bVeV5iHd18uhbYAWmt8kII8c9KQgjxL9aWXP5w6/tGpd6KFeYkv1y/1TPEWubVjKs/+aorVCwnM2tgl/jiVbUnayRLSr96YQc0AABfD/7hCxBCCFVVVQMHDiwtLW3RosXTTz/9jW98o/a7vXv33sKxOTk5Q4cOHTp06K9//euTTjrp1VdfnTp16gcffNCnT58oSt2m7dUHHnjgn//85xDC8uXLa8LoXV9GAx188MF33313CKFz5855eXlbXQ+wfdLaNAsh1LR7jn+6+qv3yqsbcobsb3StGVd/vLEdR/bgbq3vPz+kp4VE8ou+ExMlZXWOSu/yVfP6xIqtx9wAALAH0IIDIIQQZs2alXqw4aOPPlonfW64Vq1apdLeUKv58s6SlpaW2hS8YsWKhh/Vv3//1GDGjBmNWEYD1Tx7cP78+Tv95MDXWVphTnqnFjUv09sVhBDin28MoDP7dUoNkqWVifUVtZYV5hzfJ6TX/QdzLCujcOyw1LjyrSWJVRv3NVd9VLxxcVqs+cST6xaRnlZw+dGpYWJNWc1RAACwZxNAA4QQwieffJIa7Lfffpu++/nnnzfwPLm5ualBzePy6kgmk9tc3L/07ds3hDBr1qzq6no26H3wwQebTh5xxBFpaWkhhGuvvbbeo7Zgc6VuRxkNdOihh6a2aV999dXbfRKAOmLZGUUzr2z3+n83n3BSLC8rhJDWrjCEEF++LoSQVpBTeO3xqZUb7nk9/OtbXywns+1fL21159lFM8ZkDexS0+g5fa/mbR4bndYmP/Wy5MdTay6U+HJ9zVMNc4f3bT7x5FhuZuplWsu81veem9G9Terl2pueDTvw4wAAAHYjAmiAEELYa6+9UoM33nij9nwymZw8efINN9xQZ31JSckNN9ywatWqOvN33nlnatCvX7/a823abAwdlixZkhokEoltDaPPOOOM1IH333//pkVedNFFmx6Sm5s7ceLEEEJxcfGPfvSjOn0zqqurf/KTn9TU3MBSt6OMBkpPT08V89xzz/3iF7/Y9O+nsrLy3nvvfffdd7f7EsDXUOHYYammz/nnH97+g2ubTzgpe1C3EEJmz6KCy4a0mz02vagghJCsqF43aUbNUc0uPiKtZV4IIaNr6zYP/2Cvf95Y9OKP28+9tt2bP8ns2zG1puS/Hqle/G8/CNZc92RNZ4/8kQM7fDy+3atXtvvH/2v/3jXZQ3qm5itmfFT657cDAAB8PQigAUIIoX///qmdwiNGjPjjH/+4YMGCDz/8cOrUqYcccsjo0aNHjx5dZ/2oUaPGjx9fVFR07bXXvv3224sWLZo1a9YPfvCDsWPHhhDOOeecjh071l5/xBFHpAbDhw9/9tlnp02btv/++//ud7/bpiIvvvjiVJEjR4685ppr5syZs2DBgscee+yb3/zm6NGjhw0bVu9RV1xxRWpb9x133DFw4MAnnnhiwYIF8+bNu//++7t37/6zn/3shz/8YVnZV41Kt1rq9pXRQKeffvrw4cNDCP/1X/81ePDgadOmzZ8/f9GiRa+99tr48eNbtWo1atSoI444oqqqakeuAnytlD74dmL1xn4XsYz0/PMPT+1Ezjt7QMFPjo3962GAK7/3h+S6r/pvrJs0Y91tL3x1lvS0jJ5Fac03fswlsaZs5Yi7Ns2Rk6WVXw77TdX85V8d17lVKuBO2XD36ytHTbH9GQCAr4/YjnwYHGD73HjjjePGjQshPPHEEyeeeGLtt6677rqbbrophLBy5cpWrVrVOTCZTKaiz6FDh7744ot1JgcPHjxz5sxNL7flc9b405/+dO6559aZLCgomD59eq9evVKtIT7//PMOHTqEEBYtWnT88cd//PHHm57nhBNOePTRR7OysmpPVldX9+zZ85///Gftya5duy5cuDAWizW8yOeff77ehPfee+/9zne+06xZsxDCCy+8cMwxx9R+d926dcOHD//b3/626YHdunV78cUX99lnn4aXun1lNPAGQwjxePzqq6++7bbb6n13//33f+qpp2oXvMf4vNM1jV0C7LFiuZkFY4Y2u/jImk4atVXNXbbqB/fFl6yu58CC7Jzj+uSefGDWwXunNc+Jf7m+8vVPyp+dW/78/GTl5vsaxWLZg7rmjTgks9/eGV1aJSvjVXOXVby0oPQvb8c/K9mJ9wVsaq/PJjZ2CQDAv8lo7AIAmopzzjlnv/32mzBhwosvvlhVVdW3b9/zzz9/1KhReXl5IYRDDz307be/2unWrVu3efPmPffccw888MD06dOXL1/eqVOno4466sILLxw8ePCmJ8/IyJgzZ8748ePvu+++lStXHnLIIeeff/75559fE+k20HHHHbd48eJbbrnlySefXLZsWa9evU4//fSLLrqoffv2yWSyb9++9T78MBWjv/jii/fcc8/06dOLi4u7du06ZMiQ73znO8ccc0xGxr/9LGhIqdtXRgOlp6f/9Kc/vfDCC+++++7nn3/+nXfeicVi++6777Bhw773ve8NGDBgW//SAJJlVWtveX7dL17MPKhjzrd6Nrt0SAih/Pl5FX//uOKVRdULV2xuS3JyXUXZw++UPfzONl4vWfHKoopXFu1w4QAAsNuzAxoAmgQ7oGHXiOVmdvh4fAhhWe8ba/fcAPYMdkADQFOjBzQAAF8jsbx/tUgq23wPDQAAYCcRQAMA8DWS1iw7hFD+4ofJ6nhj1wIAAHs+PaABAPgaqV68SscbAADYZeyABgAAAAAgEgJoAAAAAAAiIYAGAAAAACASAmgAAAAAACIhgAYAAAAAIBICaAAAAAAAIiGABgAAAAAgEgJoAAAAAAAiIYAGAAAAACASAmgAAAAAACIhgAYAAAAAIBICaAAAAAAAIiGABgAAAAAgEgJoAAAAAAAiIYAGAAAAACASAmgAAAAAACIhgAYAAAAAIBICaAAAAAAAIiGABgAAAAAgEgJoAAAAAAAiIYAGAAAAACC2VRQLAAAgAElEQVQSAmgAAAAAACIhgAYAAAAAIBICaAAAAAAAIiGABgAAAAAgEgJoAAAAAAAiIYAGAAAAACASAmgAAAAAACIhgAYAAAAAIBICaAAAAAAAIiGABgAAAAAgEgJoAAAAAAAiIYAGAAAAACASAmgAAAAAACIhgAYAAAAAIBKxZDLZ2DUAAAAAALAHsgMaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBIZDR2AQBACCF83umaxi4BgK+suenBxi4hhBB6j1rQ2CUAAOwQO6ABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAKhfRs+inOP7xPKzGrsQaNKyW/Qo6HxsWmZeYxcCANAUZTR2AQAANEnpaUUv/jiE8MXBtyY3VDZ2NdBUxdK7nfJMCOHjB7+RqCpt7GoAAJocO6ABdoXly5dnZWVlZWX17t27IesvuOCC1PpZs2ZFXdsO+vzzz/v379+lS5c33nijsWsBdqZYbmZqkFxf3riVQFOWlpGTGiSq1jduJQAATZMd0AC7SFVVVQihurq6IYurq6tT65u+88477+233w4hDBkyZP369enp6Y1dEbBD0to2yz+zf/axvTL7dEjNtPj5aWWPzK54eWGyskHfwUIIzW8ZnnfmoanxF70mJMvr+YaWsU+r3DMOyTlmv4zubRMlpRUzPi574r2KmQtDIrlTbgQilZHbpkWPEc32PjqnVa/UTIfBt6xZOG3DsleS8QZ9YqD9N25s0WNEavzhff2Scb/pAQD2TAJoAHZITVAej8cbtxJgR8Vi+aMGNp9wUp3p3OF9c4f3Ta6vWP2jB8unf7jV02QP6Zl/7mFbWpEWKxw7rNnFR9RMpOc2zzuzf96Z/as/Kl5xxp2JlRu26wZg14i17H1O+4Hj6swWdj2xsOuJiaoNS/8+Zv1nf9vyKZp1PLLlfmdFViEAQBOiBQcAO2TKlCn77bdfmzZtXnjhBdufYbdWcPnQTdPnGrFm2a3uPS///MO3fJK01vmt7j5nSytisZb/+73a6XP8i7XJ6o2/wcroWdTulSvT2uRvQ92wa7Xpd+mm6XONtMz8vY+Z3LL3uVs4Q3pOq05H/z6C0gAAmiIBNAA7pHPnzvPnz//yyy+POuqoxq4F2H4Z+7YtuOLo1Di+ZNXqCx9YP2lGCKFqztKS/340/sXa1FvlT83d0lnSYq3uPS+WuaXfReWefGDuiQekxqUPvbNsvxuW9//psm7jVn3/T6nJWLPs1n8cGWKxHbofiEZW8+5t+12WGlet+3TpjEtWzPldCKF85fvLXhlbXbo89da6T57b7CliaXsfMzmWlhl9sQAATYIWHAAAhGaXbPwdUvWCL788dlKyKp5WVBBCqHx3aekDb5U++Hb24G6J1WXx4nVbOsmPjsrq1ymEEC9el15UUM+KjLTmN23cZF359pKSyx8OyWQIISSS5c/NW/2jB1v+9rshhMy+HbMGdK58c/FOvEHYKdr0vSg1qFyzcNG0E5OJqla5RSGEshVzSj6eWrLg4fwO34iXr64uK97sGQ68MLfNQSGE6rLijNyiXVM2AEAjsgMaAICQe3yf1GDdr/6WrIqHENKLmoUQEsvXhhBCIlnx8sKq9z/fwhkyD9yr8KpjU+PVo++vd0324O5pLfNS47UTntmYPv9L2RPvJddVpMaFVx23vbcCESrovPF/mV+++9tkoiqEkJ7bNoRQXVocQgjJxIbPXylf9cHmDs9pvX/bQ65MjT/72yVRVwsA0BQIoAF2S4sWLbrxxhsHDx7crFmzli1bfvvb3/7Nb36zatWqTVcmEomsrKysrKzTTjut3lPNnDkztWD69Om15+Px+EMPPTR8+PC2bdvm5+cPGjTolltuWb58eZ3D58yZkzr84Ycfrj0/fvz4rKys8ePH1xR81VVX9ejRIzc39+CDD7711ls3bNjsQ8aWLVs2fvz4AQMG5Ofnt2vX7jvf+c5f//rX5L8HVcDOlBaLNctODZOV1Rvn2hWGEOLF6xtyglheVuv7z0+N1976fNWc+qPq3FMP2jiKJyrf+azu24nkhj++nhpmDewSy8tq8A3ALhFLS8vc2KA8Ga9MDTLzikII1WVfbvXotIzczsfdmxoX/+Pn5Svfj6ZKAICmRQANsJupqqq69NJLu3fvPm7cuFdffXXDhg0lJSXPPvvspZde2rp167vuumvToLaqqqqqqqq6urreEyaTydSC2geuWLGiZ8+eZ5xxxuOPP75ixYrS0tLXXnvt6quvbt++/aRJk+pcInV4IpGoPRmPx6uqqqZOnZpMJidMmNC9e/fbbrttwYIF5eXls2fPHjt2bLdu3ZYtW7ZpPZMmTdprr71uuOGGt956q7S0tLi4+JFHHjn22GObNWvW6l/+4z/+Yzv/+oB6JZI1W4+bfX9Qqv9yeofmIYTEigYE0LFYy0kjUlubq+YsXf+/L21uYc7R+6UGFW8uDvHEpgsqZi6sGWd0ad3wO4BdIZlIVG38imjVZ2QIsRBCRl77EEK8bMXWDo7tdeQv07NbhBDKV7y38r07Iq0UAKDpEEAD7E7i8fgxxxzzm9/8JoRw2GGHPfTQQ3Pnzp09e/bkyZM7dOgQQvjP//zP6667bgevkkgkhgwZsmjRohDCmDFj3nzzzQ8++OCZZ55J7aGeNGlSnax5C+bPnz9y5Mjrr7/+pJNOevrpp+fNmzdjxozjjz8+hFBcXDxs2LA6Wfbjjz9+2WWXhRD69u37yCOPzJ0796233rr55pszMzNLS0tXr169evXqsrKyI444YgfvEaij/IV5qUHWwC6t7jw7rU1++l7NQwiJ1aVbPTb3tH45w3qHEJLV8ZUj/xgSm/m8QkZaTf+N6o/q75AbX7a2Zpzesfk23ADsEuuWbPy0UF67AZ2+9buMnNaZ+R1CCNUVJVs+sHn34QWdjwkhJBPVn07/QUg29CcpAMDuzkMIAXYnv/vd71566aUQwpVXXvmzn/0sFoul5g866KBzzz332GOPffnllydOnDhixIi+fftu91VmzZo1d+7cEMI999wzcuTI1GTv3r2PP/74pUuX5uTkpKenN/BUiUTivvvue+655447bmPTzF69eh155JEjRox46KGH3nvvvbfeemvAgAE1i88999wQwsCBA1955ZWaqxx66KHDhw/ff//9Qwh33nnn97///YZcuqysLB6PN/Se4Wtv3S9fzD2tX2qcM6x3+2G9N74R28qB6Z1atPz16alxyY/+kvhyszum0/7V5SOEEP9ibb1rEmvKvzpz51ZbLRt2sRXvTmrefXhqXND5mFSmHEKo+Ylcr8xmHfc64uep8ecvjane+nbpr6xf36A2OAAA2y0/P3/L/5jZQQJogF1qwYIFWVlb72paVVW16WRZWdmYMWNCCN26dbvtttvq/HjIzs5++OGHi4qKQgijR49+/fXXt7vIOXPmpAannnpqnbc6duy4rWebMWNGnQ3LsVhswoQJDz30UAjh2WefrQmgP/3007Vr14YQbr755joZd58+fY488siXXnpp5syZDQygS1avLi8v3/q6JiN760sgQtX/XLn6kr+0/M2IOvNtHhldMXPh+t+9XPHygk23Nscy0ls/cEFqXPbk+2VPbamnbSw7s2acXF9R/6LKr5oFpRXmNLh82EUq136y9KUrOh55e535fb795w3LXl35/uQNn79SZ3dzLC2jpvXz2k+eWfvJs9t0xS+L6/+4AADAzpLTuXNGRoQpsRYcALtaVQPUe+BLL72U2tJ74403pqXV8w28bdu2qcj4jTfe+PLLrT8NaXNatGiRGqT2Qe+g1M7lOrp165Ya1ITdIYSSko2fX+7Spcumhxx66KEhhPff98gmiErZY+8WH/nLylmL68xnf7N76/tGFb10+aZbkgvHnZDRtXUIIbG6tOTyh3ZyQRFuwoDtt3bR4wsfObas+O068/kdBnU+9u7up76QWbB37fl2A67JKuwSQohXlCyb+ZNdVicAQBNhBzTALtW+fftUD40tu/jii6dPn15n8rXXXksNBg0atLkDTz311EcffTSEMH/+/LZt225fkUOGDKkZ3HHHHSNGjMjNzd2+U21OZubGjZArV66smawpeMmSJTUJdY3Zs2eHEDp37tzASxQUFOz0siO19T67EL3qRStWnHpHervCvLMHFFzxrdpvZXRpXfT3McWDfhFftiY1k/3N7vnnH54arzzn3mRZ/b88q5Gs+GpBrNlmNv1nffXph5rnIkJTU7n2n588/d2MvKKWPb/Xpt9ltd/KKtyn+6nPL3x4aNWGL0II+R0Gtex9buqtT1+4IFFdtq3Xatmy5U6pGQBgc+rd4rYTCaABdqlmzZr16NFjq8v22muvTSdTCWwIoU2bNps7sGvXrqnBRx99tN1P6mvbtu20adOGDx9eWVk5atSoUaNGDR8+/MILLzz66KMb0j9ku3Xo0KFDhw7Lli276qqrXn311dpdOD744IO//e1vob6uIJvTrKAgkiojI4Cm6YgvX1s27d2CK74VEsnSqf/I++6hqflYZnrL34xY8Z3JIYS0Frmt7t4Yq637nxlV73621dMmarXdSC+q/yu0dtuN6sWrtvsWYBeoLi1e888n2/S7LCQTJQseadFjYzP0WFrmXkf+cvEzZ6Znt+h09O9Tkyvm/G/ZijmbP9lmtRBAAwC7OQE0wG5j9erVqcEWUuBmzZqlBmvWrNmRa5188slLliwZP378H/7whxDCtGnTpk2blpWVddttt1166aUR/XY0Fos98MADQ4YMefPNNwcMGHDzzTf36NGjrKzshRdeuOqqq0II++yzz3e/+90oLg3UkdYiL4QQX7am5MpH1v3sr22e/mEqMs4a2CWWnZGsqM499aBY7saPMhRcclSzH9Zt9V4z7vDh9clksmr20hWn/D6xpiyteW4IIWO/onqvm96hec04vrRkZ98W7GTpWc1DCFWlXyx75f99+c4vu570aEZuUQghr92AWHp2YbeT0jI2fhanzYEXtT5gdO1ja3+Z9Drn3WQyWb5izidP1+3DDgCwu9MDGmC30bz5xlxmc02iQwgbNmxIDQp2eP/v3nvvfdddd5WVlb344ovnnHNOCKGysnLMmDHf+973dvDMW3DUUUc9+eST6enp77zzzre//e199933wAMPvOKKK6qqqjp16vTaa6/V9O4AIpXWKi+EEP+sJIQQ/2JtyeUP17wVK8wJIVTNXVZrdSyWkV77T0iv9Y/M9LRYRnrISAshVEz/MDWXPbDLv635l6xBX7Xfqf5k5aYLoElJz2kZQqhavzSEUF26/POXv2rxnJ5VULFq3ldLY2mxtIzaf0Ks1uN2Y+mxtIyQ9m8P4AUA2DMIoAF2G3379k0NavdNruOTTz5JDXr27FnnrUQisR0XzcnJGTp06JQpU1auXJnqPT116tQPPvhgO07VQOvWrQshDBo06MADDwwh5OXlHX300VOmTPnnP//ZoUOH6K4L1JbWplkIoabdc/zT1V+9V14dQqia83nVvC8Sa8rq/VO7fXNyXUViTVnVPz4NIZQ++u7G2fS0rL4dN7lqLH/kwNSw8q0lyQ2Vkdwb7DwZuW1CCNUbNv4+JpVEpyTiFWUr3q9YPT9euabeP4mq9V8trlofr1xT9uXsXVw/AMAuoAUHwG7j8MM3PuzrjTfe2Geffepd8/jjj6cGvXr1Sg3S0tLS09Pj8fiKFSt25OqtWrX685//nHoG4Jw5c/r06bMjZ9ucmTNnnnnmmYMGDZo5c2btzyYDUUsrzIkV5qS2PIcQ0tsVhBDin28MoDP7dUoNkqWVqVbOyfKqL4+dtLmzxbIyOiy6ITX+4uBbkuUbP7dR+fLCxNryVKPnwmuPX3H6nSGZrDkq5/g+qQYdIYR1P31+590c7DTpWYVpWQU1QXOq4UZV6Repl7ltN/6qOFFdlqhcH0Jy0bQTN3eqWHpWr3M3/kL3oz8fnoyXR1g3AEDjsQMaYLcxdOjQVPPlcePGJWtFNjVWrVr1l7/8JYTQr1+/du3a1cyntk7PmjWrurp606Mavp05N3djMLTj/T0259Zbbw0hHHbYYdJn2JVi2RlFM69s9/p/N59wUiwvK4SQ1q4whBBfvi6EkFaQU3jt8amVG+55PdT3/aeBktXxNdc9mRpnDezS4tbhseyMEEKIxbKP6tHq/85MvVU1f3nF659s91UgIrH07O6nTd/39L+3Hzgu1dw5I68ohFBdWhxCSMsqKOp/VWrl6nl/DGH7v1IAAPYkAmiA3UZ+fv5Pf/rTEML8+fM3zaArKytrHtA3efLk2m+dccYZIYREInH//ffXnk8mk5MnT77ooovqXKikpOSGG25YtWpVnfk777wzNejXr9+O3sxmpJ6v+Ktf/eraa699/fXXFy5cuHjx4sWLFy9dujTVmgOIQuHYYammz/nnH97+g2ubTzgpe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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
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@@ -12016,7 +12016,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-8-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-4" data-glightbox="description: .lightbox-desc-4" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-8-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-4" data-gallery="quarto-lightbox-gallery-4" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
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@@ -12026,7 +12026,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-9-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-5" data-glightbox="description: .lightbox-desc-5" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-9-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-5" data-gallery="quarto-lightbox-gallery-5" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
 </div>
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@@ -12036,7 +12036,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-10-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-6" data-glightbox="description: .lightbox-desc-6" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-10-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-6" data-gallery="quarto-lightbox-gallery-6" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
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@@ -12046,7 +12046,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-11-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-7" data-glightbox="description: .lightbox-desc-7" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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AAAAHwJeQIaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgCgEaAAAAAIAoBGgAAAAAAKIQoAEAAAAAiEKABgAAAAAgimZNPQGABvBx10uaegoAwDo7fTS2qacAAMC2whPQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0AAAAAQBQCNAAAAAAAUQjQAAAAAABEIUADAAAAABCFAA0ARNFs79IWg3smSoqaeiIAAAA0mWZNPQEA4MuoIFn67LkhhMV9x2XXVDf1bAAAAGgaW/4EdO/evYvqadeu3YABA370ox9Nnjy5utq/bUa07b//06dPz83qoYceatqZAND4EsWFuUF2dWXTzgQAAIAmtOVPQNfU1KRSqToby8vLp06dOnXq1N///vetW7e+9dZbTzrppK2bIeu3Xbz/uRlmMpkmnMOX2yuvvLJ06dLjjjsumbScDrBNSHZsVXLKN5of1b2wZ5fclh1+efzah9+ueml+trpmvacU7Nq+5Ql9mw/8WmH3TiGE1OzFlc/MWfvAP9NLV23kRoniwuLj9msxuGdh752TbYvTH5VXv/p+xcR/Vr/5YchmG/x1AQAAsGUaYAmOZ555ZpdddgkhZLPZioqK9957709/+tOTTz65atWqk08+ecmSJT/5yU+2/i5siPf/KyuTyRx00EEhhMrKyubNmzf1dICvvESiZET/tlcdW2dz8dD9ioful11d9dmP7q98Zs5/nNGsoO113245fP/aG4v67VbUb7c2Fx296rp/rLrphfXW5BZDerUbf1KisCC/pdleHZrt1aHld/tVv7Fw+el3ZFdVNdwLAwAAYMslslv6lFCvXr1mzZoVQli+fHn79u3r7J06derBBx+ce/T1/fff33333bduntS17b//06dP7927dwjhgQceOPHEExt/Al965eXl7dq1CwJ0CCGEj7te0tRTgK+61hcc3vqCIzZ+zOeXPrpmwqvrfkgmdvzz95ofund+b3rpqmSr5omW//7SwpXXPrV6/At1LlL87d7tfjc8/2N2dVWmorqgtHV+S83cpUuPvinU+P0baDI7fTS2qacAAMC2Itav7R944IE33HBDbvzHP/4x0l3YEO//V8GSJUuaegoA6zT7Wsd8fU4vXPHZ9+9dfdPzIYTU9EXl/++v6cUrc7sqH5uZP6Xl8P3z9XnN7VM/6XHlkv3HfbL3FUsPvSG/+EabUUcnO/67LIcQkh1b5+tzzdylSw/59Sc9rlqy/7jFPa6quGfausnsXdry270jvVIAAAA2S8R1Y08++eTc4Iknnoh3FzbE+/+lt3DhwqaeAsA6rc75Zm5QM+/Tpd+8Ye1j76aXrg4hVL+zqOLeN5YccN3yU27/dPD4fy/rnEi0uWhQblg1Zf7nlz+WXzSjZt6nn428K3/l4kE9at+o5PR+uUG2Jr3s+Ftq3l+eW6Mjs6qy/KJJmc8q1p01TIAGAADYJkQM0Pl1IebOnRvvLmyI9/9Lb/78+U09BYB1igf3zA1W3fBcNpUOIRSUtgohZJasDCGETLbqpfmpdz/OH1+wU9tkh5LceOWVj9dZ6Dn17if5ceH+u9Te1fKEdQtGr/7di5nytf8xiUy28qnZuWGzPTps9WsCAACgAUQM0DU1677svkOHDf5L4Jw5c0aNGrX//vuXlJR07dp15MiRL7/8cu0D7rnnnqKiopKSkmnTpm3oItls9vDDDy8qKurXr9/mXj9vzJgxRUVFY8aMyf24YMGCn//85926dSsuLu7bt++4cePWrFlT+/hMJlNUVFRUVHT88cev94JTpkzJHfDMM89s2WvfSg3y/ufl3p9LL7009+OHH3542WWX9erVq6SkpHfv3mPHji0vL9+s6aVSqUcfffSss87aa6+9iouLu3XrduGFF3700UcbP6usrOySSy7p169fSUlJhw4dhg4deuedd1ZWVm7Nq8u9tCuuuCKEkMlkJk6cePjhh5eUlOyzzz633357bh3t3K6//e1vgwYNatu2bceOHU866aRXX321/tW2eAKb/tlbsWLF2WefPWDAgPPPPz+3paSkpOhfRo4cufFZATS8ZCLRat1K9NnqdX/3SXZqE0LIPQddX3pR+Sfdr1x6+I1LB/4mNeuTOnuzmX8v35woKqi9a8lBv1rc86ol/3X9ql+t52+viZJ106j5YMWWvBAAAAAaWsQAnX8889BDD62/N5VKff/73+/evfu4cePeeuutioqKRYsWTZgw4eCDD/7Od75TVbXu93CPO+64VCpVUVExatSoDd2orKzsueeeS6VSP/vZzzb3+nnpdDqVSk2cODGbzV511VV77bXXddddN2/evMrKyrfffnvUqFF77rnnJ5/8x78hp1KpVCqV77x1ZLPZ3AH1v+Zxc+e2ZRrk/c/LvT8PP/xwCGH8+PG77rrrVVddNWvWrIqKiunTp48ePbpr167Tp0/fxLk9//zznTp1Ou6442677bYFCxZUVlbOmzfv17/+9S677PLggw+u95RUKnX22Wf36NHjmmuueeONNyoqKpYvX/7II4+MGDFip512qtOCN+vV5f+vr66uHjRo0PDhw5977rmKioqZM2eeeeaZP/jBD0IIVVVVAwcOHDZs2FNPPbVy5cply5Y98MADBx544CWXrP+L77ZsApv42SsvL7/11lunTp2aL++5K2z8AwkQUSabX0Cj1ZkDQiIRQijo0jaEkFm2/gAdQsiurqqZu7RmwbL6u5JtWuTHqZn/maez2czKyvRH5aHe314TJUUtjuqeG6+d9M4WvA4AAAAaXMQAffnll+cGZ555Zp1d6XT6iCOOuOWWW0IIBx100COPPDJr1qxp06blnkJ9+OGHjznmmFy3bdWq1WmnnRZCeOaZZ5YvX77eG+Wuk0wmjznmmM29fh1lZWVnnHHGZZddduyxx06ePHn27NnPP//84MGDQwhLly4dNGjQes/aLFs8t83VIO9/HWVlZRdddNE555xz8sknP/XUU7Nnz37hhRdyi02vWbOmX79+K1Z88RNn995772GHHfbZZ5/ttttut95661tvvTVz5sz77ruvtLQ0hHDiiSe+//779Sd85JFH3nrrrSGEbt263XXXXTNmzJgxY8Zdd93VrVu3zz777Nxzz81PeMteXVlZ2VFHHfXKK6/ccMMNM2bMePXVV4cNGxZCuOWWW959990RI0a8/PLLp5566tSpU2fOnHn77beXlJSEEK655popU6Y0yNu76Z+9PfbYY968eXPnzj366KNzW15//fW5/3L99dd/4f8FAA2u8h/r1r4o6r97+9u+m+xQUrBT2xBCflHmzdL8sL3/feVn5nzB0YlEomVR8wP36PjYDxPNm4UQUu9+XPHgW1twXwAAABpcsxgXzWQy1113Xe5R1gEDBhxyyCF1Dhg/fvxLL70UQhg7duyoUaMSiURu+ze+8Y0TTjhh3333ffrppx9//PEhQ4aEEM4999y77rorhHD//ff/8Ic/rHOp6urq8ePHhxD+93//t7i4eAuuX2fmd99995NPPplPe927dx84cODw4cMffPDBGTNmvPHGG/UX+tgsWzy3Tdew73+dK//iF794+umnjzjiiNyW3PvTu3fvUaNGVVdXX3311b/+9a83Pr0hQ4YMGTLklFNOOfXUU5PJdf8JpGfPnkceeWSnTp3S6fTo0aPvvvvu2qfcdtttL774Ygjh9NNPnzBhQkHBul/H3meffU455ZRHH3104MCB+VexZa8unU7Pnz////7v/zp27Jjb8tBDDw0bNmzSpEnDhg2bN2/eNddck38Mv2fPnt/85jf32muvEMKFF1742muvbf3bu+mfvUQikbt1165dc0fut99+zZs33/jbXls2m83U+vV2gK236jfPFh/fJzduMahH5/w3ByY2+1KJwoK2l38rN66e9kHN3KUbObiwR+eO//hx/sdsKr36pudX3/RCqPGnHDSldDrd1FMAAGBTJZPJfL+KIbHFD9v26tVr1qxZIYQXX3xx1113DSFks9ny8vJ33nnn2muvnTNnTgihe/fur732Wps2bWqfuHbt2tatW6fT6b59+7755pv1X96111578cUXd+vWLfftedlstnPnzkuXLu3atevChQvrHD958uRvfetbIYQZM2bss88+W3D9nEsvvfTqq6/OvZz6xbasrKxHjx4hhCuvvDK3DnImk8ll0GOPPfaRRx6p//689NJLAwcODCH84x//OPLII7fstW9Eo73/dd6fyZMn//d//3edUzKZTGlpae4R9aqqqqKiohDC9OnTe/fuHUJ44IEHTjzxxI2/nJzvfe97f/nLX5LJZCqVyrfp6urqtm3bVlZWdujQ4eOPPy4sLNzIFbbg1eVf2pw5c/bee+/aB0+bNu2AAw4IIbRs2fLzzz9v1uw//oPNoEGDnnrqqdxNW7RosfUT2MTPXt6ZZ555++23hxAqKys3K0BXrFmzZMmSTT9+u9B84J+aegrwVVf87d7tfje8/vaqKfNX/+Glqpfmhcwm/SNH22uHlpx+QAghZLJLDrguvXjlRg6uE6DTi8pXXvX42skzN/FeQCRVL9b9DTwAALZZu+y6a53q1bAaYAmOgQMH7r777rvvvvsee+zRt2/fESNGzJkzJ5lMXnTRRe+8806d+hlCeOGFF3LPRIwdO3a9cf3UU08NIbz33nu59RwSicTo0aNDCB999NHs2bPrHDxu3LgQwm677darV68tu34d+evUtueee+YGm77M8Xpt5dzWK/b7X0f//v3rb0wmk+eee25uXFZWtokzry/3hG8mk/n888/zG1955ZXcYsdXXHHFxutz2LpXV//bGr/2ta/lBkceeWT9vw6POuqo3GDZsn8vYLo1E4j62QOIbe3f3lk68DfV0z6os735wXvtePeI0hfPL9i1/RdepOT0A9bV5xCWn/HnjdfnEEI2lc58uir/Y8HOO7S7+ZQOE/83UViwkbMAAABoNFHa9oknnnjHHXe0bNlyvXvz3xe33pQZQsitBRxC+PDDD9u3bx9COPXUU3/yk5+EEP74xz/eeOON+SOXLFmSW+tg9OjR+di3Bdf/QvnuuaF1qDdRjLnV1+Dv/6bIX23BggX77bffZky3lvxjvPmv1wsh5Be4yD9IvhEN++ry8+ncuXP9ve3atcsN1q5dG2kCoeE+e7UlCwpa/Gu9mi8NzzrCtqBmwbJlw24p6NSm5Xf7tb7g8Nq7mu2+Y+kL5y0d8Kv0J59v6PTi4/Zte+3Q3Lj8pw9XPfcFvwwUQqiZ9+nivuNCIlHQuU3r8w5r+d1+IYSi/ru3ufS/P7/s71v3aoAt9+X7Jw0AgC+xqOtvhAYJ0J9++mmHDh2y2eyiRYv23Xff8vLyiRMnjh49ekMVcsaMGblBaWlpfpmF2vKr0y5evDi3hsOOO+44ePDgJ5544g9/+MP111+fW+EhhJBfKbj2Cg9bcP1GE2NujfD+b4pOnTrlBgsXLtzEUyorK1999dVnn312+vTp77333ocffrhmzZr6h+Wf/M3fYiMa9tXl//Jb76XW+xfntvzxy2vRokWXLl2a5NbxfNzUEwDy0ktWrp30TusLDg+ZbMXEf7Y86eu57YnCgna/G77sO7eu96wWg3u2+/3JufHnlz5acd+bm3HLbDb9yeflP/9bYofi4m/tE0IoGXngyrFP/P/27jPOqupsHPaaGWboCIIiAgoqoVh+Ek3QqKi8scQ8lqgYbIglRDTGgDWiUSPGntdYHlsiSqxYEDGAMRGxYEESEUVARUCaSBNkYNo5/w/b7MwzjZkzs2dguK4fHxZrt7XXzH1mn/uss1a6oLhWdwJkqvE9aQAAkLE6mIIjyrJlZWV16dLlpZe+G2101FFHlR7EWlpcX1JSUlSReNGS0pMeXHHFFSGEoqKiV199NapJpVI33XRTCGHgwIHbbbddLc9fP5JoW/30/2bFA3VLDweuzNq1ay+66KKWLVsefvjhN9xww/jx42fPnr1+/foKV8Zbu3ZtVKjONMcN/tNv8AYAbAmy27YIIZQs+2btJc9/tf8tJSu+myUjr1+3rKYVvPo1G9Bz+z+fHpW/+d1LG0a/k9l185/8b9o6p9N2VewJAABA/ajjFNhBBx100UUX3X333cuXLx86dOiYMWPK7xOPY/3kk0+idfwqE89+G0I45JBDWrZsuWHDhltvvfXoo48OIfzrX/+K5t4dMWJE7c9fP5JuW3L9v1nffvttVGjbtm3Ve37++ef77LNPfn5+CKFz585nnHFGv379OnXq1KZNm4ceeujOO+8ss388jXVhYWG81l9lGvyn3+ANANgSZG/fIoRQsnhtCKFk+bq1w59r//iQaFNWm2bpr78tvXPT/ntsP2ZwVP7mdy9tePjtKs6c1Sw3r1+3koWrixdUMDFRem1+qfP6nA8AAKDh1f17s9tvv/3FF19cuHDhX//610GDBh1zzDFldujbt+/o0aNDCLvssktl8xSXl5OTc/nll1977bVTpkxZuXJlhw4d7r777hBC+/btf/jDH9b+/BmrcNBuZeqhbQn1/2Z98cUXUeF73/teFbsVFRX169cvPz+/bdu2EydOPPDAA0tv7d27d/lD9t5776eeeiqE8NVXX5VfU7GMev7pb4ENANgSZHdoFUKIp3su+XLNf7dt+j/TYjQ9sHv7J86OypvNPjc9aLf2T5wdcrJDKr18nxtTa8t+5yan23/n1k+t/DYAAADQ0OpgCo4y8vLyJk2aFJVPOumk8iunxYuzzZkzp0ZnPvvs796gPv300/n5+dHw3iuvvLLMTLsZn79GsrO6VT3WAAAgAElEQVSzo/Gt0SjsaqqHtiXX/1UbP358VOjVq1cVu02fPj1q0rhx48pknyuz//77R4XXXnttszvXz09/S24AQIPIbtMsp8t/vwGT07F1CKFk6XcJ6Nx9u0SFdH5h6tuCeLe8H+7a/pnzovJms88hhKJ5K0JOdgghZGdtd+NxZTfnZLce/v9FxdQ3G1Or88vuAAAAQL2r+wR0CKF3794333xzCGHTpk0/+9nP0ul06a377bdfNI71qquuqtFpu3btGg12vueee6ZNmxZVnnnmmWV2y/j8NRWt8jd9+vTi4grWOJo9e3b5yvppW0L9H4mnMC5t9erVTz75ZAhhzz33rHrNmQULFkSFnj17lt+6dGkFK8kdcsgh0WcMV199dYVdXVq9/fS3qAaU+RED1LOspk12fPOSju9ctt0Nx2a1yAshZHdsE0Io+Wp9CCG7dbM2Vx8d7bnhkXfCf16y8r7ftcPzQ6NyyYr1uXt26jj98k4Lfl/mX7s/nRxfKPX1t/lPfzfLc/Pj99nuxuOymn+3AkF2uxbtHz2zye4dov+uGzU5eG0EAADYAiSSgA4hXHbZZX379g0hvPHGG//7v/9belNOTs6f//znEMLLL798xx13lM+dFRYWPvroozNnzix/2quvvjqEMGfOnGj+jcMPPzyecrdOzl8jAwcODCGkUqknnniidH06nX7ooYfOP//88ofUW9sS6v8Qwvnnn18mC1xYWHjyyd9lB+65556qG7bzzjtHhXfffbd0fdRp119/fflDmjdvfuONN4YQVqxYceGFF5aZ86S4uPjyyy+P7qj2d1d79dmADh2+y7MsWrQoKqRSKclooP61+e1R0aTPLc8+YKfZV293w7FNf7RbCCH3ezu2/vVhHT/4bc6OrUMI6YLi9Xe/Fh3SZNftO7zwy/gMOTu2bvHz/XI6bZfVJKfMv+Yn9Y2zzCGEb655KZ7Zo+VZ/Tp9el3HaZd0/NeVO80a2fSw7+aAKnhtXv5T/12NEAAAgAaUVAI6Ozv7pZdeigau/upXv/r8889Lbz355JOPP/74EMKll1560EEHjR8/fs6cOfPnz3/77bevu+667bfffsiQIYccckhRUVGZ0x555JHRxBcvvvhiCOG3v/1thVfP+Pw1MmzYsOgGzzrrrJEjR3744YefffbZCy+8cPDBBw8dOvSoo45qwLYl1P8hhOeff37vvfceO3bsvHnz5syZ8/jjj/fo0WPKlCkhhIEDBx522GFVN2z//fePWnXKKaeMGTPms88+mzt37jPPPPP9739/6NChQ4cOrfCoESNGRCOmH3zwwX79+k2YMOGzzz775JNPnnjiid133/2222674IILNm7cWPu7qxP11oBDDjkkKhx//PGTJ08eP378nnvued9999X2BgBqKP/pGak13813kdUkp+XZB0QjkVuc/oPWlx+R9Z/FAFcNeji9/rv5N1oMOSBkZ1X3Aln/3TOdX/j1UfcUzfkqrsnZZfsowR3ZMPqdVUP+avgzAADAFiLBBeJ33nnnRx55ZPDgwSGEo48+evbs2bm5341gysrKeu6556666qpbb7317bffPuGEE8ocu+eee/7tb3+L9481bdr0oosuuvPOO0MIzZo1O/zwwyu8dMbnr5G2bdtOmjQpSjT/4Q9/+MMf/hBvevTRR0866aRWrVo1VNtCMv0fQrj//vt/85vf/PznPy9Tf8455zzwwAObbVWrVq0effTRM888s6io6KyzzorrW7du/d577/Xq1evBBx8sf1ReXt706dOPP/74KVOmvP/++8cd93/m/dxtt91effXV5s2b1/7u6kS9NeDoo4/u3r37F198MWfOnJ/85CdR5e233z5s2LCsrGqndQBqreiT5V/98NbWvzm81bD+FaaViz5etvoXj5cs+u9ShNmtm2V8udTq/K+PuLvpj7q3OOX7uft2bdJt+3RhSdHHywpe/yx/7IySxWszPjMAAAB1LqkR0JEzzjjjggsuCCF89tlnl19+eelNOTk5t9xyy+eff3711Vf/8Ic/zM3NzcvL69Onz/Dhw999991Zs2btuuuuFZ5z2LBhUWHEiBFNmlSaQM/4/DVy5JFHLly48Pzzz+/SpUtOTs6ee+557bXXLlu2bPDgwS1atIgmiW6otoVk+n/gwIGLFy++8sore/XqlZOT07lz51/84hfvvffeX/7ylyp+HGVa9d577x177LEtW7bMy8vbf//977333uXLl//gBz9o3br1fvvtV+FRrVu3/uc///mPf/zjjDPO6NSpU05Ozh577HHeeedNmjRp7ty5ZVpbbz1cmfppQJMmTT788MNLLrlkp512ys3N7dev3/333z9nzhzZZ6D+pTcWrbvp78v2uG7lzx789j/zbGz6+yffjHxxxWF3fn30vaWzzyGEtZc+v7TLyGr+S+cXlrteuuCt+WsufnbFof//0l2vWdbjupUnPLD+j/+UfQYAANjSZJkxluq45pprRo0aFUJYtWrV9ttv39DNgbKWdhnZ0E0AvpPVPLfTp9eFEJb1/n085wawTdl58Y0N3QQAALYUyY6ABgC2NVkt8r4rbSyuckcAAAAaPwloAKAuZbdqGkLY9OrcdHFJQ7cFAACABpbgIoQAwDaoeOFqs+IAAAAQMQIaAAAAAIBESEADAAAAAJCIrHQ63dBtAKgt3/cHgC3HzotvbOgmAACwpTACGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBFZ6XS6odsAAAAAAEAjZAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACRCAhoAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACRCAhoAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACRCAhoAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACRCAhoAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACRCAhoAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACARTRq6AUB9e+WVV4YOHdrQrQAAAACg4b3xxhtdunRJ7vwS0LDNyc/PX7BgQUO3AgAAAICGV1JSkuj5JaBhm5OVlZWbm9vQragzqVQqeqHMzs7Oyclp6ObAVqykpCSVSoUQmjRpkpWV1dDNga1YcXFxOp0OITSmP7hQ/9LpdHFxcfCYB7UWv2nKycnJzjYXK2QufszzpqlGsqJeA9hKTZgw4bjjjgshXHrppbfddltDNwe2YsOGDbv//vtDCP/85z8HDBjQ0M2BrVi3bt0WLlyYl5dXUFDQ0G2Brdgnn3zSp0+fEMIJJ5wwbty4hm4ObMX++Mc/XnLJJSGEBx54wHyMUBtHHHHEP/7xjxDCokWLunbt2tDN2Wr44AsAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACQiK51ON3QbADK3bt26BQsWhBB22GGHTp06NXRzYCu2ePHi1atXhxB22223Vq1aNXRzYCv2ySefFBUVZWVl7b333g3dFtiKbdq0ad68eSGENm3adOvWraGbA1uxr7/+etmyZSGEzp07t2/fvqGbA1ux+fPnf/vttyGEXr165eXlNXRzthoS0AAAAAAAJMIUHAAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDTQkNavX9+hQ4cxY8Y0dENgKyBeoK6IJqgrognqhFCCuiKatkwS0EBD+vLLL1etWtWuXbuGbghsBcQL1BXRBHVFNEGdEEpQV0TTlkkCGmhIa9asCSH42wDVIV6grogmqCuiCeqEUIK6Ipq2TBLQQAOYNWvW8OHDe/fufeihh4YQzjvvvN/97nezZs2q4pDi4uIJEyacddZZnTp1atmyZb9+/W644YaFCxdWtv9XX32Vl5eXl5fXo0eP/Pz8mrbwpptuig6/8cYba3os1K0M4qWM5557Lvp9nj59etV7CjQat8yiKZ1Ov/nmm7/85S979erVvHnzrl27nn766ZMmTUqlUlUcJZpo3DKLpoULF/7+978/6KCDWrVq1a5duyOOOOLee+9dv3591UfVKJqEEluX2j/mRR5++OHoV/fll1+uYjfRRCOWQTR9+umneVWq7LfXY14m0gD1qKCgYMiQIZW9Ih122GGrVq0qf9SXX365yy67VHjIyJEjU6lU+UOWL18e73P99dfXqJG1ORbqUGbxUsbdd98dH/Lee+9VsadAoxHLOJq+/vrrfv36VXhUnz59lixZUuFRoolGLLNoKioq+tWvflXhIbm5uc8++2xll6tpNAklthZ18pgXWbBgQXzgpEmTKttNNNFYZRxNEyZMqOyoyOOPP17+KI95mZGABupPSUnJIYccEr10tm3bdvjw4f379w8hnH322fEreIsWLVasWFH6qM8//zwvLy/aOmLEiLfeeuvjjz9+8skn+/TpE1UOGjSo6gem7Ozs1atXV7+dZ599duN4iWerllm8lJZKpa688srSj0RVJKAFGo1YxtG0du3a9u3bRzuceeaZU6dOnTNnzquvvjpo0KD4bOvWrStzlGiiEcssmlKp1LHHHhtt7du377hx42bPnj19+vRRo0bl5ORE9a+88kr5y2UQTUKJrULtH/NiRUVFvXr1in91K0tAiyYaq9pE06hRo0IIxx577LyKLF26tPwhHvMyJgEN1J+//OUv0evmZZddVlRUlE6nL7/88hDC+vXrU6nUlClTunTpcthhh5V+vS4sLOzcuXMIIS8vb9asWaXPVlJSMnjw4OiEDz/8cJlrlX6JDyFccMEF1WxkmS/ObNUv8WzVMoiX0kpKSsoPBKgsAS3QaNwyjqbDDz88OvDVV18ts+mpp56KNp122mml60UTjVtm0RQfdeWVV5bZtHjx4mbNmoUQWrduXVhYWHpTZtEklNgq1PIxr7QrrrgiCpPs7OxQSQJaNNGI1SaafvrTn4YQ7r777mpey2NebUhAA/UklUpF6wCUfvWPPs2L/k6k0+mSkpKSkpLSRz3yyCPRS+24cePKn7O4uLhnz54hhBYtWhQUFJTeVOYlPoSwePHi6rTzZz/7WaN5iWfrlVm8xAoLC4855pjod/jAAw+88847o3JlCWiBRiOWcTR98skn0e/njTfeWOGZ4/T0N998E1eKJhqxzKKppKSkdevWIYR99923wvf/f/7zn6Pf3mnTppWuzyyahBJbvlo+5pX27rvvRr+x8ceiFSagRRONVS2jqU2bNqGicQaV8ZhXGxYhBOrJypUro+VoR4wYkZWVFVWuWLEihNCkSZPov9nZ2dFH95FUKnXppZeGEDp06HDccceVP2dOTs6f/vSnEEJ+fv7YsWMrvG6nTp2iwq9//evNNnLOnDnjxo0LIey4447VvTFIQAbxEtuwYcPBBx88ceLEEMLAgQNff/31XXfdtYprCTQat4yj6fnnn48K559/foVnjr8ROWfOnKggmmjcMoum2bNnR8sM3nDDDfFRpf34xz+OCjNnzowrax9NQoktVm0e80rbsGFDNODg5JNPPumkkyrbTTTRiNUmmvLz89etWxdC6N69e3Wu5TGvliSggXoS/WEIIWy//fZx5fLlyzt06FDZIR999NHKlStDCFdccUVlT2ADBgyIZg+84447Ktzh97///U477RRCeP755+PhbJW54IILokLpddug/mUQL7Fx48a99957IYRLLrnk6aefjp+9KiPQaNwyjqbmzZv37NlzyJAhpQ8sbeedd44KS5YsiQqiicYts2jKzs4+5ZRTjjrqqCOOOKLCHaIBaCGEgoKCuLL20SSU2GLV5jGvtMGDB69atapt27ajR4+u8NOdiGiiEatNNMXPbx07dqzOtTzm1ZIENFBPom9fhhCmTZsWVy5fvjx+A1/eP/7xj6hw1FFHVbZPbm5uNHPTBx98sGHDhvI7bLfddqNHj47Kv/zlL6to4YwZM6ZMmRJC2H///Y8//vgq9oSkZRAvsdNPP33o0KEPPfTQ7bffXsW7kZhAo3HLOJqGDx8+Z86c+Be7vOhNSAghmsE2iCYau8yiqU+fPk8//fTkyZObNm1a4Q5xKO2+++5xZe2jSSixxarNY15s7Nix0Td1xo8f36pVqyr2FE00YrWJpnnz5oUQ2rRp07x58+pcy2NeLUlAA/WkY8eO0XKxI0eOXLBgQVS5bNmy+Eso5U2fPj0qdOvWrYozx4vexp9hlnHUUUf17ds3hPDGG2+88847Fe6TTqfjPwB/+ctf4jXZoUFkEC+xrKysBx544LzzzqvmtQQajVttoqlqr732WlSIs2aiicYtoWh68skno8LBBx8cV9ZJNAkltky1D6Xly5efdtppIYTzzz+/f//+Ve8smmjEahNN0bxPBx54YDqdXr9+/eLFi5csWZKfn1/Z/h7zakkCGqgn2dnZo0aNCiEUFRX17Nnz4YcfXrduXSqVqmI+o1mzZkWFli1bVnHmXXbZJSpU9hKflZUVLxdw7rnnptPp8vu88cYbM2bMCCEcf/zx++yzz2ZvBxKVQbxkTKDRuCUUTRs3bnzooYdCCC1btowT0KKJxi2JaHrllVeuvfbaEMKoUaPatm0b19dJNAkltky1DKVUKvU///M/JSUlnTt3jhearoJoohGrTTRFyd+pU6c2adKkTZs2Xbt27dKlS8uWLbt27Xr//fcXFRWV2d9jXi1JQAP155JLLonWmSksLDz33HOj9Wo3btxYXFxc4f7Rsk5t27ategmOeM6mRYsWVbbPPvvsc/LJJ4cQZs+ePXny5DJb0+n00KFDo/K9995bzduBRNU0XjIm0Gj0koimm266qaSkJITw+9//Ph6WIppo9OokmtatWzdr1qznnntuwIABRx55ZAhh1KhRV111Vel96iqahBJbptqE0i233BJlpiZOnFjZzDaliSYat4yj6Y033gghbNq0KZVKla5fvHjxsGHDevTosXTp0tL1HvNqSQIaqD/Z2dkvv/zyn/70p+i9evRC/+yzz7Zo0WL48OHz588vvXM6nY7e22+33XZVn7ZFixZR4dtvv61it3jm/l/84hfRmWOTJk2aO3duCOE3v/lN586da3RTkJAaxUvGBBrbgjqPplmzZt1www0hhA4dOsTrw4gmtgV1Ek2jR4+O3ntPmTKlXbt2M2bMGDlyZOlFC+o2moQSW6CMQ2nWrFnRpzXXXHNNdcZFiiYavYyj6W9/+9vll1/+9NNPL168uLCwMJVKbdy4cebMmdEnowsXLuzbt++mTZuinT3m1Z4ENFCvsrOzf/3rX69fv/6ZZ5750Y9+FFUWFRXdeeedu++++7nnnltYWJjxySv89kpsp512ih7XlixZ8tRTT8X1JSUl0QeMOTk5119/fcZXhzqXaLxkTKCxNarDaFq9evWhhx4alSdOnBivQJgB0cTWqG7/Nq1Zs2a//fa74ooryn/ZuUaqiCahxJYpg1DatGlTtPpZr169fve73yXUMNHEViezP0w/+tGPbrnlllNOOaVz5865ublZWVnNmjXbZ599Jk+ePHz48BDCihUrbrnlloxb5TGvDAlooAE0b9785JNPjmbPPO200+J5+h9++OGjjz46+tAyKysr+m7LunXrqj7bxo0bo0LVkzGFEEaOHBl9IHnBBRcUFBRElc8880w0PdNtt93Wpk2bjG8KElKdeMmYQGObUvtoys/PP+CAA9asWRNCuOeee37wgx/Em0QT25TaRNPFF19cXFy8Zs2aqVOnHnbYYSGEW2+99bDDDouHgNV5NAkltlg1CqVhw4YtW7YshDBx4sQmTZpU5/yiiW1HXb1pysrKuuWWW6Lf5Jtvvll2oq5IQAMNZu3atSGEoUOHvv7667NmzYq+XTJlypRnnnkm2uF73/teCGHNmjVV/7X46quvokI8339lWrRoEX3VZd26dffff38IoaioKPr2dNu2bS+88MJa3hEkZ7PxkjGBxrYm42gqKCg49NBDP/300xDCiBEjyv8yiya2NRlHU05OTtu2bfv37z9lypRrrrkmhDBt2rTRo0fHO9RtNAkltnDVCaVJkyZFC5fddddd3bt3r/7JRRPblDp505Sbmzt48OAQwqZNm1asWBFVesyrJQlooMFEfxuiFc/32muvd999N6r/61//GhX23nvvqJCfn1/Feb788suoUJ0Jks4666wuXbqEEC677LINGzaMGTMmGsj2wAMP5OXlZXYjUA82Gy8ZE2hsazKLpqKioiOPPPL9998PIZx22mm33357+X1EE9uaOvnbdO2110ZDwEaNGhVX1nk0CSW2ZJsNpW+++ebEE08MIbRv3/7II49cWE704WgIYfbs2VFNNIgyiCa2MXX1pikOnDih7DGvliSggQazatWqEELr1q2j/3bu3Ll///4hhOnTp0c18Vebq1hANoTw1ltvRYXotbtqOTk50diBoqKiBx988Iorrggh7LbbbtEqtLDF2my8ZEygsa3JIJpKSkqOO+64119/PYRw1FFHjRkzpvSCaTHRxLamTv425eTkRBNxLFy4MJ4Jus6jSSixJdtsKOXn50eLoa1atapXr17dyundu3e05yWXXBLVxDPhiia2KXX1pil+0ounu/GYV0sS0ECDWblyZSj1tyGE0LFjx1BqYdkBAwZEhZdffrmykxQXF0+YMCGE0KdPn1atWlXnugMGDOjXr18IYcSIEdHfp0ceeSSa0Qm2WJuNl4wJNLY1NY2mVCp16qmnTp48OYTQr1+/CRMmRMuslyea2NZUJ5qWLVv26KOPrl69uorzREPVQgjx95qTiCahxBZrs6HUsWPHPfbYo0bn7NSpU1QQTWxT6upN0+zZs6NCPJDZY14tNcJbArYW0WxKzZs3j2vefvvtEMJBBx0U/XffffeN3pDceuutla0hO3Xq1GiwzIgRI6p53aysrNKTDB500EHxAgWwxdpsvGRMoLGtqVE0pdPp8847L5o3sFevXq+++mpubm5lZxZNbGs2G02bNm3aeeedhwwZcs4551RxnjfffDOE0KFDh6ZNm0Y1SUSTUGKLtdlQys7O/vTTT9OVi7898NJLL0U177zzTlQjmtim1MmbpnQ6/dRTT4UQOnToEH9E6jGvliSggXoyf/78a665JvruWCT629CsWbPov++///7ixYtDCCeddFJUk5OTc8stt4QQli9fPnHixPLnTKVSF198cXSS008/vfqN6d279xlnnBGV//znP2dwO5CoDOIlYwKNxq020ZROpy+++OLoXUHnzp3feeedaKbayogmGrcMoqlZs2ZDhgwJIYwfP37OnDkVnnb69OnR15lPPfXUuDKhaBJKbAmSeMyLpwso/x0d0UQjltCbpvHjxy9fvjyEcO2118aVHvNqq4rP0ADqSnFx8W677RZC2GWXXWbOnBlVHnPMMfGr0Lx589q1axftUFRUFB+4adOmHXfcMYTQrFmzuXPnlj5nKpUaOnRo9FJ23333lbli9AcjhDB27NgKm7Rp06YxY8a8/fbbFW6NBxFcf/31md0yZCzjeKnMuHHjot/n9957r8IdBBqNVS2jaeTIkdGvaNu2bZcvX16dK4omGquMoymeK7Nz584rVqwoc9ovv/yyQ4cOIYTs7OylS5eW3pRZNAkltnB1/pgXnzb61Z00aVL5raKJRqk20fT222/36NHjlVdeKX/aGTNmRAsA7rHHHmWO8phXGxLQQH0oKSmJP9MLIRx22GFjxozZddddmzVr9swzzwwaNCiqz87O/vjjj8scO3v27OiT/Ozs7Ouuu+7999//7LPPxo8fv//++0dHHXfccSUlJWWO2uxLfNUax0s8W6naxEuksLBweSl//OMfo0OefPLJuHLVqlWlDxFoNEq1iaZbb7012mUV+KMAABMdSURBVNqsWbMZM2YsX758QSU2bNhQ+kDRRKNUm2i65557oq25ubk33XTTjBkz5s+f/+6771577bXxNJdPP/10+YtmEE1CiS1c7R/zKlR1AjotmmiMMo6mwsLCKDEdQth7772feOKJjz/++PPPP58yZcp5550X1bds2XLRokXlL+oxL2MS0ED9eeyxx6LPEivUuXPn2bNnV3jg/Pnz42U0yhgxYkT51/e0l3i2fhnHSzqdfv311ys7MLbvvvuWOUqg0VhlEE3RtzUjm10Hpnv37mUOF000Vhn/bbrvvvsqC6W2bdtOnjy5sivWNJqEEluF2jzmVWizCei0aKKRyiyaZs6c2adPn8qO6t+/f/mv7MQ85mXGHNBA/Tn99NPXrFnz2GOPHXPMMfGbkLZt2/7sZz97/PHHv/jii969e1d4YPfu3RcuXDh27NhBgwa1b98+Nzd33333vfrqqz/99NM77rijUS4RCxnHS8YEGo1VBtEUrUIeSaVSVZ9/7dq1ZWpEE41Vxn+bzj///K+//vrOO+/88Y9/3L59++zs7E6dOp144olPPPHE8uXLjzrqqMquKJpolOr/MS+IJhqpzKJpn332+eijj2bMmHHllVfuu+++LVq0yM3N7du37/Dhw999993XXntthx12qOyKQikzWelKlm4ESFRRUVFeXt6ZZ545ZsyYhm4LbOnEC9QV0QR1RTRBnRBKUFdE05ZMYh5oGNHXxKIp/IGqiReoK6IJ6opogjohlKCuiKYtmQQ00DAKCgpCCNG650DVxAvUFdEEdUU0QZ0QSlBXRNOWTAIaaBj5+fkhhAMOOKChGwJbAfECdUU0QV0RTVAnhBLUFdG0JTMHNAAAAAAAiTACGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwAAAACQCAloAAAAAAASIQENAAAAAEAiJKABAAAAAEiEBDQAAAAAAImQgAYAAAAAIBES0AAAAAAAJEICGgAAAACAREhAAwBAo3LCCSfk1cTgwYMbtsEnnnhiXl5e06ZN0+l0jQ4sKSnp0qVLdBfTp0/P4BIZX3oLkUqlLr744u233/6hhx5q6LYAAFRMAhoAABqV999/v6gmevfuXdNLrFix4oUXXliyZEmdNPiDDz4oKirq3r17VlZWjQ6cPHnykiVLoruYOnVqBpfI+NL1qYrenjx58l133bVmzZqhQ4fW1Y8DAKBuNWnoBgAAAHVpypQpZWo+/PDDk08+OYRw7LHH3nHHHWW2duzYsaaXuOyyy8aMGfP666937tw543ZG0un0F198EULYc889a3rg8OHD4/++8MILl156aY0ukfGl61kVvV1cXByXt9JB3ABAoycBDQAAjUqPHj3K1KxduzYq9O/fv/zWmkqn0y+88EIIoUuXLrU8VQjh22+/jQo1HYg9bdq0Tz/9NIQwaNCgp5566q233ioqKsrNza3+JTK+dH2qurd/+tOfnnrqqc8999ztt99eJz8OAIA6ZwoOAABo5BYtWhQVunXrVvuzrVixYt26dSGEHXbYofZnW7VqVVSoaWZ8xIgRIYT+/ftfeeWVUc3nn39eo0tkfOn6VHVv5+TkPPHEEwUFBRdddFG9Nw0AoFokoAEAoJFbsGBBVNhll11qf7Z///vfUaFly5a1P9uyZcuiwq677lr9o2bNmvXee++FEG6++eY4fTxt2rQaXSKzS9ezuu1tAID6JwENAACN3Lx586JCBtM9l/fKK6+EEHr16lUnC/ctXLgwKuy8887VPyoa9bzHHnsccMABLVq06N69ewjhb3/7W40ukdml61nd9jYAQP2TgAYAgEZuzpw5UaF9+/YV7pBKpSZPnnz22Wd37NixVatWAwYMGD16dFFRUel9Vq1addttt5111lkPPPBAdM68UlKpVPnTLliw4Kabbjr00EO32267Nm3a9O3b95JLLomH9Ebmz58fFXbcccdq3s6CBQsmTpwYQrjjjjuitOyxxx4bQnjppZcqXIivsktUfenq9Elp6XR62rRpF110UdeuXVu2bPmjH/3orrvu2rhxY2W3UHXPVLO377nnnqjm66+/zrj9URviCUw2btx477339u3bt3nz5gcddNBrr71W2S0DAFRLGgAAaNTatWsXPfynUqnyW5cuXdqzZ8/y7xS6d+++fPnyeLdJkyZV9p6ic+fOZc65cuXK448/vsKd99hjj9J7nnnmmVF9cXFxNW9nyJAhIYS2bdsWFRVFNePGjYtO8uWXX5bfv7JLVHHpavZJbP369f3796+wZ5YuXZpBz1Szt+OpnwsKCjJrf0FBQbRpypQp6XT6gw8+aNOmTZmjXn755Up/GAAAm2MENAAANGYlJSVr1qwJIey6667lp3GYN2/eHnvsMXfu3BYtWvzxj3+cOXPm+++/H63v98UXX/zwhz8sLi6O9hwwYMC8efPiaS4uv/zyef/x9ttvlz7nBx98sMsuu4wfPz6EMHjw4FdeeWXOnDkzZ86Mtu69996ld549e3YIYccdd8zJyanO7axYseKRRx4JIdx0001NmjSJKvv27RsVZsyYUf6Qyi5RWX31+ySyatWq3r17v/766yGE884778033/z444+feOKJnXbaacmSJWPHjs2gZ6rZ25988kkIoVmzZnl5eZm1/5tvvokKbdu2/fDDD/fdd9/27ds/++yzH3/88U033RRtOvfcc8v3KgBANTVp6AYAAAAJWrduXVTYc889y2zasGHDAQcckJ+fv9NOO82aNatDhw5R/X777bfnnnuee+65ixYtGjNmzDnnnBNCyMvL69Gjx6ZNm6J9jjjiiHj1v9I+/PDDKB3cq1evl19+OV72MD6wzMjcWbNmhRD22Wefat7O7bffHkLIyckZPHhwXNmlS5fs7OxUKvXyyy+XH19c2SUqrK9Rn4QQiouL+/fvv3jx4uzs7KlTpx588MFRfZ8+fU444YRnnnkmHmddo56pZm9//PHHIYS99tor4/bHc3csXbp00KBBJ5544lNPPZWbmxvdwrRp0yZMmLB48eLVq1dvv/325RsAALBZRkADAEBjtnLlyqjQq1evMpuuv/76aHD0W2+9FWcqI2eddVbLli1DCLfeemvp+iVLlkSFChfuW79+/SGHHBJC6NOnz4wZM+Icawhh9erVUaF0IrWgoKCwsDDavzr3sm7duttuuy2EcOWVV7Zo0SKuz8nJiTK/zz33XJlDKrtEZfU17ZPRo0dHI6nHjRsXZ58jzZs3Hzx4cDTqvKY9E6m6t1Op1LJly0IIvXv3zrj9S5cujQrnnntuz549x44dG2WfI8ccc0xUWLVqVfkGAABUhwQ0AAA0ZnGGcffddy9dv3r16iiZe9555+22225ljsrJyYmSj3Pnzi29cl3VC/ddeOGF0YDrv//976UTxCGE5cuXR4Vu3brFlVGqNFSUe63QfffdFxV+85vflNn0k5/8JISwYsWK+JxVX6LC+pr2SUFBQdSSvn37HnfccVW0vKY9E6m6t7/99tuoEA+dzuBnunDhwrgZL774YpnZSOL/pita3REAoDokoAEAoDH78ssvo0L37t1L1z/zzDNRYfjw4RUeGO+/fv36uPLTTz+NCtttt12Z/ZcuXfrXv/41hHDNNdd07ty5zNZFixZFhdKbVqxYERXKZ0vLKygouO6660IIZ555ZpmxvSGEgw46KCrEUypXfYkK62vaJ//85z/z8/NDCPF0yRXKoGciVfR2KDW2PW5VBj/TOMd92WWXderUqXzLo0Lbtm0rPCEAwGZJQAMAQGP2+eefR4Uy+c1nn302hJCdnV1+ao5ISUlJVMjO/u+7hmjVu5YtW5aeqCEyZsyYqHDhhRdW0YwddtghroyT4126dNnsjTz22GPRnMjXXHNN+a3xDNevvvpq6frKLlFhfU37JFpOMJRKf1cog56JVNHbodTQ6XhCjwx+pvPmzYsKF198cfn9460VZsABAKpDAhoAABqzOIdYZhqHadOmhRD22muv0vnl0j777LOo0Lp167jyww8/DJWsGfjQQw+FEHr06NGxY8fyW//+979HhTZt2sSVX3zxRVSo8JDSiouLL7vssqjcu3fvvHLiuyszDXRll6iwvqZ98uabb0Z31KpVqyoan0HPRKro7VBq6HQ8cjmDn+lHH30UQujevXv58dfhPxnwvLy8pk2bVnxvAACb06ShGwAAACQoWiIv/N9ZFAoKCqK5I773ve9VduBbb70VQujRo0c8EXCFq95FCgsLo8kcfvzjH5c/1dq1a6M0a7t27Zo0+e97kDg5vtkZHiZMmBDP2lxSUhKP5C1v9uzZGzdubN68edWXKF+fQZ9EfbvXXntV0fLMeiZU2duROIfevn37zNof/tMPleW4owR0PLocACADEtAAANCYRUnS3NzcZs2axZXxmnKVDZVdunRpNMXwoEGD4sp44uDyawZ+8803UaFr167lz/boo49Ghb333rt0fZTfbNasWdUDbFOpVLTWX+fOnadOnZqVlVXhbqNHjx41alQIYe7cufvuu2/VlyhfX9M+ifevuvGZ9Uyosrcj8QzR0XDmDH6mGzduTKVSoZKcdWFhYTTnSWUZcACA6pCABgCARqugoKCwsDCEUGZS4KZNm+bk5JSUlMRJzDKiWSNCCEOGDIkr41XvunXrVmb/eEhydLnSNm7cOHLkyKhcZixtNMVE1SOIQwhTp06Nppu4+eabd99998p2GzhwYJSAfuONN+IEdGWXKF9f0z7Jyspq167dmjVr4kmcK5RZz4QqezsSfbTQoUOHaDhzBj/TtWvXVnGJOHVexZBqAIDNMgc0AAA0WnGGsUx+Mysr65BDDgkh/Pvf/y4oKChz1KpVq2644YYQwimnnLLbbrvF9StWrIgK8aTDsXgS5HfeeafMpiuuuCIvLy8qlx7MW1JSEp1wswnoaPhzXl7ewIEDq9gtzk2/+OKLVV+iwvoM+iTaf9GiRXE/l7ZixYqCgoIMeiY+PCqU7+1INH1zPHQ6g/bHl9h1113Ln//rr7+OCqV/BwAAakoCGgAAGq04w1g+v3nxxRdHhQceeKB0/YYNGw4++OCSkpK8vLx777239KZvv/02KhQVFUWFeNqHVq1aRZMpv/LKK/FuIYRHH3307rvvfvDBB6P/lh6/HE8x0bNnzypuYcaMGdFo5auuuqrqyS5atmwZraT36quvRuOOK7tEZfU17ZOzzz47Klx11VVlGjN58uROnTr99Kc/zaBnIlX0dlS5YcOG8H/Htte0/YsXL44KFea4ly5dGhV22WWX8lsBAKpJAhoAABqtOIe4xx57lNl03HHH9enTJ4Rw8cUXjxgx4sMPP5w3b96jjz7arVu3OXPmZGdnv/HGGx06dCh9yM477xwVRo4c+dFHH02dOrVnz57RQnkhhMsuuyyEUFJScvTRR//rX/+aNWvWsGHDhgwZcu+99/br1y/ap0uXLvHZqjnANjptCOGCCy7Y7P0ec8wxIYRUKrVgwYIqLlFZfU375Nhjj42Ss/fdd9/Pf/7z6dOnz58//7XXXjvxxBN/8pOfpFKp3/72txn0TKTq3l63bl1UKP3RQk3bH/VSCGHHHXcs35kLFy6MCpUNwQYAqJY0AADQSN1///3RY/+UKVPKb125cmX5xHQIYaeddpo3b175/UtKSsrP1fDEE09EWzds2BANQC7trrvuSqfTM2fOjP67ZMmS+GxTpkyJKt95553K2j937txon0GDBlXnfh9//PFo/8cee6yKS1Rx6Zr2yaJFiyrM3rZp02bGjBmZ9Ux1ejuaADqEMG7cuIzbP3z48Gjr+vXry99aPKx71apVVfY6AEBVjIAGAIBGK14fr8JBrO3bt589e/ZDDz10yCGH5OXltWnTZuDAgWPHjl20aFH5KTtCCNnZ2TNmzDjnnHNat27drl27U089dcaMGaeeemq0tUWLFp988smwYcPatWvXpk2bM84447PPPrvoootCCDvssEOLFi1CCO3atYvPFq0rWFnbItdcc03UzltvvbU69ztgwICWLVuGECZOnFjFJaq4dE37pGvXrl988cXNN9+8//775+TktGzZ8sADD7zvvvuWL1/+/e9/P7OeiVTd2/FQ6DKp7Rq1P87vR51WRryYYZs2bcpvBQCopqx0qXnEAAAAAACgrhgBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACRCAhoAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIhAQ0AAAAAACJkIAGAAAAACAREtAAAAAAACRCAhoAAAAAgERIQAMAAAAAkAgJaAAAAAAAEiEBDQAAAABAIiSgAQAAAABIxP8DdUa/4l7TdgQAAAAASUVORK5CYII=" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-11-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-7" data-gallery="quarto-lightbox-gallery-7" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
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@@ -12056,7 +12056,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-12-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-8" data-glightbox="description: .lightbox-desc-8" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-12-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-8" data-gallery="quarto-lightbox-gallery-8" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
 </div>
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@@ -12066,7 +12066,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-13-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-9" data-glightbox="description: .lightbox-desc-9" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-13-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-9" data-gallery="quarto-lightbox-gallery-9" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
 </div>
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@@ -12076,7 +12076,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-14-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-10" data-glightbox="description: .lightbox-desc-10" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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2zYEBUVlZmZGRERsWLFimrVqkmrZ0iUSqVKpVKr1fqfpfOi5yIoFIo2bdpI7ZYtW8bExBh5jAU9ELVarVKpAgMDhRCrV69u3Ljx+vXrExISUlJSbt26pVQqe/furVKp0tPTp0+f/qIPvX379unTp1Uq1dSpUw0OU6PRGHRWqVSjRo2qX7/+kiVLrly5kp6enpCQcOjQIT8/v8qVK1+8eNGcw4mPj3/ttdf69u176NCh+Pj49PT0CxcuzJgxw93dffXq1SXtKRRajW71DBevj4RQCCGs7N2FEOqM+Dz206jSniVFZCXfzfmWpdJJ184ZTwMAAADAK4EAGgBQbDp27Cg1IiMjdRvVanWnTp3WrVsnhGjduvWhQ4fCwsJCQkLmz58vhNi/f3/Pnj0Nsstdu3Z16NAhMTGxRo0a69evv3bt2s2bN3fv3u3m5iaE6Nu37927z9M9Pz+/a9eu7dq1S3rp5eV1R0+rVq1eVOrkyZOlRkRERJUqVcaMGRMWFpZ3hGrCgUj+/vvvwMDACRMm9O7d++zZs7du3QoMDAwICBBClClTZvDgwUKIoKCgF83Flj7RwsKiZ8+eeZQnVdi5c2dpCRRPT8/t27ffuHHjxo0b27dv9/T0TExMnDhxoq7Cgh6ORqNp3759VFSUEGLSpEmXL18OCws7fvz4+++/L4RYvXp1zjT8VZfyz/MZ9PYVvat2XGtlW97aoZIQIvtZkmkDlqnSTtdOvX/a/AoBAAAAoOgpStr8IwBAMXn06JG7u7sQwsPDIzw83JhdlixZMnPmTCHE999/P3r0aGnj//3f/02cOFEIsXjx4unTpysUCl3/sLCwhg0bajSao0ePdu/eXbf96dOngwYNGjhw4KBBgyws/vvbakJCQsWKFdVq9aBBg3bs2KHbrtVqpW6tW7f+9ddfjSlVq9X26tXr6NGj+hvd3NymTJkydOjQihUr5tzFhAOZPXv2okWLhBC2traff/75ggULcg575coVaW2NNWvWjBkzxuDdrKysMmXKSPOaf/jhB2ljaGho48aNhRB79uzp27evrvMPP/zwr3/9SwgxZMiQzZs3S8uMSDQazeHDh9u2bVuuXDnTDufSpUstW7YUQmzZsuWjjz7SL/LBgwe2trbly5fPeXQGpCnh+XYrLnd3v67/UulUs877p3J2+/v4gPRHVwo6uMLC2qPfr9IK0RlxV+8d62/QodaAPws6JgAAAADkZGNjo/+feIWOABoAUDhMCKA3btz48ccfCyEWLVokJdEZGRmOjo5qtbpp06ZXr17N+T+B/v7+M2bM8PT0vHPnjjEfMXTo0ICAAAsLC5VKpcumTQighRDZ2dkzZsxYvnx5zrcGDhz43XfflS1bVrfFtAPRBdCenp63b9/WD9N1tFqtu7t7XFxc1apV//nnH4ORjx071qNHDyHEjRs3Xn/9eTyaawCdlZXl7OycmZnp6uoaExOjWxc7VyYczvr160eNGiWEePr0qZOTk+GIxklJSYl//MIFlItd5rmuBlucaveu0nZFzp5psb8l/Lk+Lea80Bo779v9rQXl6g4SQgitJnxvm+x0w4WzbdueKHDFAAAAAJBDterVrays5BufJTgAAMVGl2PqFmU+e/as1F68eHGuP8AOGjRICBEeHv7kyRNjPkKaLKzRaJ4+fWpmtVZWVl9++WVMTMzs2bMdHR3139q1a1fVqlWl5SYkZh7IunXrck2fhRAKhWLWrFlCiPv379+6Zbgu8NKlS4UQNWrUaNCgQd6H89tvv0mPGZw/f37e6bNph6OL42/evJn34CVJctShyP1dMuKuGmx3qNSqepfNdd47ae1YzZhxytUd9Dx9FiL61Mic6TMAAAAAvCpkzLYBAMhbXFyc1JCeRiiE0D31rkWLFrnuIi3rLISIjo52cXHJ9yNsbGykhhS2mq9SpUoLFiyYN2/ejRs3tm7dumbNmqysLCFEWlra22+/fe/ePaVSKcw+kEaNGuVRw6BBMjRp9AAAIABJREFUgyZMmCCE+OGHH1atWqXb/ujRo19++UUIMWvWrHz/furSpUtSo3Pnznn3FCYdTvv27aUt7du3X7duXb9+/ezs7PL9IAPW1tYGWf9LJddbKiv57r1j/a3s3cq9NsC1yQT9t5RONeq8dyLy3x1UaQ9z2/U5p1o93N96vvpK7PnpqQ/O5trtZT4zAAAAAF4hFnKuvyEIoAEAxSg0NFRq6Kbr3rhxQ2q4ubnlOgVY9+S6hw8fSstK6MvMzLx48WJwcHBoaGh4eHh0dHRaWpoclVtYWDRu3HjFihVLliyZNWvW119/LYSIjY09evToe++9Z/6B5K18+fLdunX7+eef165du3z5cinyFkLo1rnWX+j5RXQnP9cFrA2YcDgVKlQ4ePCgr69vVlaWn5+fn5+fr6/v6NGjO3XqpCs4X7a2tra2tkZ2Lnp5LA6SnR739O4R1yYThFaTFLG/rGcfabvCwrpy22/+Pj7wRTs6Vu9Spd3zHxUeXpqfFL73RT1dK1QwrWwAAAAAKEoswQEAKDZnzpyRGh4eHlJDN09ZevpcTrrFOgwWqEpKSho/fryDg0OHDh0WLlx48ODBsLCwlJQUXTAqE1tb26+++mry5MnSy+DgYDMPxEjTpk0TQqhU/8/encfXdO3/H1/JSY7MEiKkiIqExBBUSFEqramKVFuUi6aTzmh7vxRRUw3V1k8H9b1iFrSGKi2uGkuICEVSGURSQ4mEEDI6Jznn98dy9/fcTHJOshPR1/Ph0cfKHj977Z2j3llZW6+c0WAwzJs3TwgxdOjQunXr3vcIWVlZsqEMEi+HZZczePDgS5cuvfrqq/LLbdu2DRgwwNnZ+auvvlL7vjwINNq6Qgh93rW0Ix8nb+xemH9vvL9Dw85WmtL73KlJryZPLZHt9OjZtxLWVk+pAAAAAKAeRkADAGrGX3/9lZaWJoRwc3N75JFH5EJlNG5CQoJGoylnd29vb6WdkpISEBCQl5cnhGjcuPGoUaOCgoI8PT1dXFzCw8MXLVqk1jX8xwcffLBw4UIhxJUrV+QSyy6k4nr06OHo6Jibm7tgwYL+/fsLIX7//fcbN24IIZQ0vHzKiwF1Ot19RxlbfDlNmzZdvnz54sWLo6KiVqxYERERodPpJkyYcOTIkY0bN1akztpLY+cmhNDnXBFCFOalXz080avvqnurtM6F+XeLbe/4yBNNey+T7fTo2TcTVldfrQAAAACgGgJoAEDNWLBggWxMnTpVmbC4Y8eOK1euFEJ4eXk5ODhU5Dh6vT4oKCgvL8/V1XXnzp1du3Y1Xevv71+lVZfOzc1NNhr8Z1YECy7ELBqNZuLEidOnTz9w4MCNGzfc3d2/+eYbIUT9+vW7dOlSkSO0a9fu+++/F0Kkp6crYXRZKnk5dnZ2wcHBwcHBX3311aBBg44ePbpp06b4+PjWrVube6haxMbeXQhRmJsmv5RJtGQoKp4+OzQKUuJp0mcAAAAADxOm4AAA1IBLly7JwNTFxeXtt99WlivvuEtMTKzgoWJiYjIzM4UQW7duLZY+Vxs59FiY1G/BhZjrlVdekY0ffvghLy9vzZo1QoiPP/641DmaSwoMDJQNZSKUclTV5dSrV0+m3sJkEuqHhkbrYuvUWPnSxt5DCKHPu/e+QfsG914saSjMN+hyTHd0aBjYrP+9+btJnwEAAAA8ZAigAQDVLTs7Ozg4WLbXrl1rOqK2U6dOcjTulClTKni0CxcuyEarVq1Krr169WplSpX0ev0nn3xy/XqZ75yLiIiQjX79+smGBRdirqZNm8rBzt9+++3Ro0flwtGjR1dw9x49esioOiwsrLCwsPyNq/By7O3tZcPZ2bmSh3qgWGnqtHh+n8+LvzUKmm5tYy+EsHHwEEIU5mUIIay1zh6Bk+SWtxLWCGFUdrRv0KHZM/dC+cL8jDr1/H2GRvqNSSz255EeX1T3JQEAAABAVSCABgBUqxMnTnh7e6empgohxo0bN3jwYNO1Go1m2bJlQojdu3d/+eWXRqOx2O46nW716tVnzpxRlijzR0dHR5tuaTQaw8PDZ86cWfmav/jii9mzZzdv3nzfvn0l10ZHR4eFhQkhQkNDGzdubPGFWECeNzExUQ4nDw4OViZrvi97e/s5c+YIITIyMt59991ibwUsLCycOHGivATLLicrK2vmzJk3b94stqVyzA4dOlSw1FrBo9M/5aTPbv6jW4481ShoumOjx4UQdVx93APeaTn8mBwQbSy6eyN2ibKX1tnr0QH/Nxe2jb2Hq++Lto6NrKxtiv2p2+I5mWsDAAAAQO1iVfLfkAAAWCA9Pb1Ro0ZCCE9Pz6ioKNNVBoPh5s2bp06dWrFihbJq7ty5H3/8sTL7s8JoNA4ZMmTbtm1CiK5du06aNKlVq1ZarTY9PX337t1ffPFFbm6us7NzZmamra2tECInJ6du3boGg8HW1nbZsmXdunUrKiqKjY2dO3fu6dOnx44du3TpUiHE1atXPT09lVPIwb/du3ePjIy876X94x//WL9+vWx37dp14sSJrVq1qlOnzuXLl1evXq1MjhwfH+/o6GjxhQghpk2b9umnnwohMjMz69Wrd9/C7t696+joWFRUJL/89ddf+/TpU3Kz2NjY9u3bCyE2btw4dOhQZblOpwsICEhKShJCBAYGfvLJJ/7+/nq9/tSpU5MnT7506ZKtre3t27flmGVzL+e5557btm2bRqP5+OOPhwwZ4ubmlpmZuXTpUhlAjxo1au3atfe9wAdcwiofpV3Hza9Z/whNHdfyd7mwc3h+xknly4adp9Zr80oFT5cU0c5QmK986R963pxiAQAAAKBmEEADAKqGEkDfl3z9XTkvoCsqKpoyZYrylsJi2rRps2PHjmbNmilLIiIiSk494ezsvG/fPj8/Pzl3RGUCaCHErl27Ro4cmZWVVeraZ599dsOGDSXnlDD3QswNoIUQH3zwwaJFi4QQdnZ22dnZNjalvF64rABaCJGdnR0SE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BD7L6jBYGjevLlMzDVt2nTTpk3x8fExMTFz5869ePHimDFjrB7F6Utgu3NMJlP79u1TU1OFEKNHjz569GhCQsK2bdvkhNbPPvtMmQ/rdAw2AvDx8Rk0aJAQIjo6+tYt69MY5eFcXFx69OjhdBjO9bmFixcvysKzzz6rzOh3VFHGeVJSUufOnQ8dOjRv3ry4uLhff/21T58+QojFixefPHly6NChBw8eHDhw4OHDh+Pj45cuXarT6YQQM2bMOHDggNp7c46j905+Tjx+LTg6nBy6ZWCPzAsPZ8d7lw+r3HGRm2c5d11FIUTug4yCmmjLVJcFjatH2fp/96nc3rNsPd1TrQMbv/l0j03Vnl/j6uFfApEDAAAAeJKxwuyTa+HChfv37xdCTJ8+fdy4ccpv5ENDQ1988cWGDRvu2rVr27Zt3bt3l9u7d+/evXv3AQMGDBw40MXl4VcX9erVCw8PL1++vNFonDhx4urVq20fVKPR1KxZUwhRuXJluaVRo0YeHh42mpw4cWL79u1KxqROnTpt27bt16/fhg0b4uLijh07lne1gSVLlsjE2eDBg5ctW+bq6iq3N2jQYMCAAVu2bGnbtq08U6dPR6/X9+7de9KkScpUxDp16hSlY/NycXFp0qRJ48aNBwwYIIQICAiw+ma2RYsWydMcM2bMnDlzlEM0btx48ODBnTt33r9///Tp0/v169eoUSNH41eVyWRavXq1/Rd07ty5clbviBEj5s+fr1yp0NDQoUOHhoaGWv2ewOlLYLtzYmJi4uPjhRBff/31kCFD5Ma6det269bt8uXLnp6eynhzOgbbAbz11lurVq0SQnzzzTdvvPFG/uAXLlwohHj11Ve9vLycDsO5Prdw+vRpWci/GIj9ijLOjUZjSkrKuXPngoKC5JaNGzf26dNn8+bNffr0SU5OnjFjxrhx4+RH9erVa9eunXw0jRkzRi5drd7enOPovZOfE49fC44OJ4dumYJkZ2dn3r1rf5B/bjf/+KxMzQhZ9q0a7lv14ax8G6vceAbYesJ7lw+r0XtbyqZwk8HWqlbFLo01WAAAAIBHSbnAQHv+geY0EtCPq+TkZK1WW2g1g8FgdXt2dvbbb78thGjatGnePIJUr169Dz/8cPz48aNHj1ZSCWXKlNm6dWv+XZUrV27gwIErV65ct27dypUrlXRVcdm7d2+bNm3ybtFoNNOmTduwYYMQ4ueff1ZyLnq9fvTo0UKIwMDAr776yuLOcXFxiYiIUP4syulUqVJFWY/VghMd66js7Gx5mjVq1Jg9e7bFITw8PDZu3CjncUdGRlpd1tZG/CXA/guanZ0tFx+oVKnSvHnzLK5F2bJlFy9e3LlzZ4v9F/ES2Oic2NhYWZCzX/OqVKlSccVgI4BmzZoFBwenpaXNnDlz+PDhFrvdtWuXvN+VhaSdCMO5Ps8vLS1NFpRcp6OKPs53796t5IuFEBqNZsKECZs3b05OTvb29v7Xv/6Vt3KNGjW6dOmyY8eOo0eP5uTkeHp6qro359h/76jBieFk/y1jQ25uru0V/58o+rvnLu97u1LbTyy2V3t+XdbVQ7dORmVdOSjM/zOv/HbiintX9vtUbpd9448H6adNhiyNi4u7T9UKLSfrnmothHDzCirffOLVg+NK7jSE4JoCAAAAj5Sy5cqpun+W4HiMGexQUNtffvlFLkg6ffp0qzOnBg4cKIQ4c+ZMQW/6yktmPUwm0507d5w/nwLUr18//0ZlUVElwSGEOHTokHzN4JQpU5z+1b+w43QWL15cUJ69eDvWqn379slDTJ061WoYQUFBMt1z5MiRGzesvJnKRvwlwP4Lun//fnmmkydPtvpFnNXJm0W8BDY6x9//4Q/V5aROG4oSg40ANBqNzA5funQpMTHR4tNZs2YJIapVq6b0sBNhONfn+SnrMDj9+sGij/PAwECLLbVq1ZKF8PBwNzfL71+VxPrNmzfV3ptz7L931ODEcLL/loH97qb+kLKpc3bacYvtuoqtqnZeVrPPTnffKv/7iVl/J/V2/LLstBMmwz0hzGaTUX/37IWd/5dz66Ss4R/S18Xdp0TCBwAAAPAkYgb046pChQrKG6tsGD58eHR0dP7tyoTBFi1aWG0opxYKIS5evFi2bFnbR1FyUjL/WwKU/HLexXCVn7rnf1eYQwo9nfy/91cUb8dadfjwYVlQloTOr0+fPt99950QIikpKe+0TclG/KXF6gU9dOiQLLRr187+XRXxEtjonPbt2yuFxYsX9+vXT1npohhjsH11Bg4cOGrUKCHEl19+OX/+fGX79evX5doIEydOVJKDToThXJ/nV+4/351evXrVuT0UfZznp9zaFSpUyP+p8kpS5Q2KJbk3p1m9d9TgxHCy/5axQafTObROSAmz9WJH1ejvnj33U3837+CA2i8FNhmV9yOtX7WafXakbOxgyLpWyF7MpusxM6t1e7jSlGfZOvevH1Mp4PwqOfvbCAAAAABqUHX9DUEC+vHl4+NjdXVgC0899ZTV7XFxcbIQHBxsdXah8m6oa9euNW7cOO9HOTk5v/766+7du2NjY8+cOXPx4sVH5Le0ygTA8uXL29+qeE+nKB1rp99//10W8k/JVFSv/vCtU6dPn7b4zb4TlIRmoW85s9rKaUpnOnRB1bsEQUFBmzdvjoiI0Ov1Q4cOHTp0aERExD/+8Y9OnTpZrIejXgzlypXr1q3bzz//vGjRojlz5ijHVdYr79u3b1HCcK7P81NmBx8/bjlP005qjHNlTFrtDUdHbPHu7dHnxHCy/5axwcXFxf7KT5Tc+2l3zv4Y2GSUMJsykjf5h7wot2tc3J9q++/z2wYUuocHGWeUsrtvVVGCCWiuKQAAAPBEYQmOJ5Qyt9doNFpdu0P+1FoIkfen5RkZGSNHjtTpdB06dJg2bdrmzZsTEhIyMzOVvEPpysjIkAU7p8upcTrOdaxD0tPTZcHGP+B9fB7+mLpYFkXx9fWVBXtS8w8ePJAFe2ak2qasq+DQ/EdVL0GvXr0uXLgwbNgw+efmzZu7d+/u6+s7f/78vMNG1RjeffddIYTBYNi9e7fcYjKZZs6cKYTo27dvmTJlihKGc32eX5UqDxcBiImJUY7ikJIf57DNuVFt5y0D57hqywghDPevXT343plvW+dmP1x73bt8mMa18FvYbPrvOl0aDf+HEAAAAIBamAH9hFKmNyYmJtqeZq8sMJqSktKoUaP79+8LISpVqjRo0KAWLVpUrFjRz88vKipq3rx5asdcKD8/P1nQ6/WFvvVLpdNxomMdpWQYDQZDQVlCJVOs5I6LomrVqrKgTIG04cKFC7LQrFmzIh5X+bW+Q4kqtS9BlSpVvvrqq4ULFx4+fHjp0qWrVq2Sb788ePDgt99+WwIxtGnTRqfTZWVlzZ49u1u3bkKIEydOyIWG5TviFE6E4Vyf5+fn51enTp2kpCSDwfD77787MRhKfpzDNqdHtT23DJzj6hkghDDcuyyEyL1//cr+sVW7fP3wI61vbvaDQpp7+Ctl/d3zakUJAAAA4IlHAvoJ1bRp02XLlgkhqlat6u3tXWh9g8HQokWL+/fv+/v7//TTT88991zeT+vWratWoI5o2LDhunXrhBDXr19XktFWqXc6jnasExo1arRlyxYhxK1bt5QZoBbOnTsnC7Vr1y76EYODg7VarV6v37t3r9FotJ17UtYcDw0NLeJxa9asKQuZmZn2Lx1bApdACOHp6dmhQ4cOHTrMnz+/Z8+ehw4dWr9+fUJCQr169dSOwdXVdezYsR988MGePXtu3rwZGBj42WefCSHKlSvXvHnzvDWdCMO5Prdq/Pjxr7zyihDi3Xff3bVrl6PNS36cl5jHdOZvEUe17VsGznHzChRC5GY9XGldZqIlk7GQ7LMQQlfhv8t5P7iTXNzRAQAAAMBD/OLyCaW8RSopKcme+jExMfINV999951FuvbRoWQ89+7da7umeqfjaMc6oWXLlrKgvHQxvx9++EEW6tSpU/Qjuri4REZGCiFycnKsvtNS8eDBA5kM9fT0tEiGOkHJTKWkOPCirxK4BHmVLVtWfu0h8qxCrnYM//d//ycL33zzzf3791esWCGEeO+99yxW5nUiDOf63KqXXnpJvpUuOjranjemWij5ca42FxcX+eWNnK7+2CmuUW31loGdXLV+7j6VlD/dvIKFEIb7D9836BX08BWmptxsk/7ewzrewb5VOwuN5ReHGldtULN/yXJ22gljTrqqkQMAAAB4kpGAfkI1a9ZMzhEeP368PfWVmYbPPPNM/k+vXLnidCQOvdfOtjZt2sgE3MSJE3Nzc23UVO90HO1YJ3To0EGe5gcffGC1927fvi1/2N6kSZMivkpOMXHiRFkYNmyYshRsflOnTpWrIsyZM8fd3b2IB23Xrp0sfPHFF1YrWP2moQQugQVlprCyEITaMVSpUkXm9xcsWHDo0CG5cfDgwRbVnAjDuT63yt3dfdWqVbLco0ePixcv2q6/du3aw4cPK3+WyjhXW6NGjYQQMTExVh9QCQkJJRyPQ4/fYhzV+W8Z2EPj6lHzhehaL/5SocUHLm5eQgg372AhRO79NCGEi9Y3OPRdWTM9cYUQZiGExtWzRsRPlTsuqtlnu3f5MPGfhZ7ddRWffv4bN89y8s8r+98p+dMBAAAA8OQgAf2EcnV1XbJkiRBi+/btc+fOzZ+G0Ov1y5cv/+OPP+SfTz31lCxYzEY0m81RUVFTpkxxNIDAwEBZUJYMNplMRUxGe3l5TZ8+XQiRlpb25ptvWvzOPTc3d+zYsfKsi/10FI52rBN0Ot1HH30khEhKSsqfm9Pr9f3795flqKgop49ioXz58nPnzhVCXL58uV27dsoL4hRms/mjjz6aMWOGEKJWrVqvv/560Q/aoEGD6tWrCyFWrFhx4sQJi08XLFjw/vvv52+l3iXIyMiYMmXK7du3LbbLwwkhmjRponYMCvmVQFJSkpxy3qFDh/xJWCfCcK7PC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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/unnamed-chunk-14-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-10" data-gallery="quarto-lightbox-gallery-10" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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ecbjuIaTnlvfIcuUzEGsGbNGueGtKORKLtyrs/z69ev3+LFi2X50qVLAwcOtPNh4vQp2L6LnX6+paSkvPPOO47eQTdu3JgxY0bTpk11Ol2dOnXGjRt39epVG/VTU1OnTp3aunVrHx+fgICA559/fsGCBbdv37Za2aH/wXL6RBwKyekmTgw5p5+ZKH4aFxd3nSyajQ8Hnrt3sBAiN/uGE/vzLFffM7ChLKcd+8hs4ittAAAAANaYnTVlysM5L1u2bLH4aOLEiUKIevXqmUymqVOn5j9ocHDwlStX8u9Tr9e/9tprVuMMCAg4fPiwxSFCQkLMZvOnn36at6afn1/eHUZGRlrd4QsvvJCTk5M/hj179gQEBFhtsn79eovKN27cKOiH6p9++qnJZFJq/vHHH3L7t99+Wyx9ZXHWCm9v74D/6N69e0GXz2w2t2/fXjapVavW5cuXbdTMy9EutX2lMjMzZblTp04FHTEhISF/1xXUn2ZHRpETp2P/Fc+v2MeAhZ07d8r6U6ZMKbTyuXPnZOWuXbsWSzD37t1r27Zt/vp16tSZO3euLO/cudOiVfEOJ6Wa/Zep2ANwekg78bByrs8tXLt2LW8weVd/XrBgQf76yjA+evSoxUeOnoKNu9ih55u8KEKIq1ev2j9ov/zyS/npqVOn1q9fn38dfBcXl+3bt+fvAb1eP2LECKvhCSGWLFmS/zlg57h17kScC8mJJmanhlxRnpmPhYRlNR+v/4z6TBmbOrGHAAAgAElEQVR51rWjCctqJSyree/yAbPZfHFXpBN7y7r28DlgMuoTV9Qr9bNz4r9SGzoAAADAk0TFJTiSkpKGDBny/vvv9+zZ86effkpMTNy7d2+3bt2EEGlpaTLtlbe+0WgMDw+PiooSQoSEhKxatSouLi4uLm7VqlUhISHp6elvvfWWRZPz589v37591KhRvXr1+uWXXxITE7dv375y5Uplh506dZJz+lq3bv3DDz8kJCTExMTI1PmmTZt69OhhscO1a9d26NAhPT29WrVqUVFRv/32W3x8/Lp164KDg4UQffv2PXv2rFLZZDK1b98+NTVVCDF69OijR48mJCRs27bthRdeEEJ89tlnJpNJpb764YcfRo0aJYRo1KjRpk2b4uPjjx07NmPGDHd39/v376enp6enp2dnZ7dp08bGQd9++21ZSE5OrlSp0htvvJGQkGC2OcHQiS6VCrpSPj4+gwYNEkJER0cXNBFbHs7FxaVHjx42YlMitH8UOXo6xXjF83N0DKjK0WAMBkPz5s337dsnhGjatKkckzExMXPnzr148eKYMWOsHqXYh5P81P7LpEYAzg1pJyJxrs8LtWLFiurVq8vyiBEjlBxxoZzuzPycfr717NnTiTto1KhRffv27dKly48//piYmHjo0KE33nhDCGEymbp27ZqSkmJxmuHh4QsWLBBCNG/efMOGDfHx8b///ntUVFTFihWFEK+++uqkSZOsHsj2uHX6RJwIybmzcGLIqfrMhHMyL0TLgnf5sModF7l5lnPXVRRC5D7IcHRXHgG1vcs//BnHjROfmI0PijFOAAAAAH8mKr5lzmQyrV69evv27V26PFxwsE6dOm3btu3Xr9+GDRvi4uKOHTuW9xfoS5Yskf+yHTx48LJly+QCEUKIBg0aDBgwYMuWLW3bttVoNHkPodfre/fuPWnSJGWyWJ06dZRPFy5cuH//fiHE9OnTx40bp7QNDQ198cUXGzZsuGvXrm3btnXv3l1p0r179+7duw8YMGDgwIHKhLh69eqFh4eXL1/eaDROnDhx9erVcntMTEx8fLwQ4uuvvx4yZIjcWLdu3W7dul2+fNnT01M5heLtK5PJNHjwYCFEixYtDh48qBylWbNmERER9evXl53597//3fZBe/To8de//nXr1ocrNi5atGjRokXBwcHvvPPOK6+8Ur58+fxNnOhSycaVeuutt1atWiWE+Oabb2Tex6LhwoULhRCvvvpqQS9LzMuhUeTo6RTjFc/P0ftFVY4GM3fuXDmrd8SIEfPnz1fundDQ0KFDh4aGhub95kahxnASjlwmlQJwYkg7EYlzfV4oDw+PPXv21KhRQ2YGO3TocO7cOT8/v0IbOt2ZForyfDtx4oQTd5DMAsuvDaTnnnuudevWL7/8shBixIgR27ZtUz5atGiRfMKMGTNmzpw5ymk2btx48ODBnTt33r9///Tp0/v169eoUSOLA9keNk6fiBMhOXcWTgy5Ynlm3r9/PyM9vdBqsNPNPz5T3hnoWzXct2q4LFv8/yt7lA8b/7BkNqafWl1MAZa0K5cvl3YIAAAAQOkrX6FCUZJahVIxAS2E2Lt3r8UkNY1GM23atA0bNgghfv75Z+Vf0Xq9fvTo0UKIwMDAr776yuKcXVxcIiIirB6iSpUqynq1eWVnZ8sZvk2bNs2bDZHq1av34Ycfjh8/fvTo0XkTImXKlFESsnmVK1du4MCBK1euXLdu3cqVK+U/vGNjY+Wnffr0sahfqVIlq9HaYH9fXbx48e7du0KIGTNmWHRUvXr12rZtu2/fvgMHDhSagNZoNN9///348ePnzJmjbExLSxs7duzYsWMHDBjw+eef+/v7Kx8516WKgq5Us2bNgoOD09LSZs6cOXz4cIvd7tq1y2AwCCGU5VNtcGgUOXE6xXvF87N/DJQA+4PJzs6WSwdUqlRp3rx5FksZlC1bdvHixZ07d7bYv0rDSdh9mdQLwNEh7UQkzvW5napVq7Zx40bZe+np6T179tyzZ0/+FSryKmJn5lWU55tzd9AXX3yRN/ssDRw48KOPPoqNjf35559v3LgRFBQkT1M+YWrUqDF79myL0/Tw8Ni4caP8uUxkZOSvv/6a/1g2ho1zJ+JESM6dhXNDrliemUaj8cEDptYWG/3dc5f3vV2p7ScW26s9vy7r6qFbJ6OyrhwU5sJnpmv9quue+oss34z9wmS4X/yxlghGFwAAACCEUPtn9youwSGEkLPVLCjLQSr/NBVCHDp0SL4gbsqUKe7u7vYfYvHixVYzI7/88ovRaBRCTJ8+3eq8noEDBwohzpw5Y/uFSwr5D36TyXTnzh25RUnOyhleRWR/X2VkPPyd7NNPP52/SbNmzYQQJ0+etOegbm5us2fPvnLlyqRJk3x9ffN+tHbt2sqVK8ufTktF7NKCrpRGo5F5jUuXLiUmJlp8OmvWLCFEtWrVrPaPBYdGkROnU7xXPD/7x0AJsD+Y/fv3y56cPHmy1a/LPDw88m9UaTgJuy+TegE4OqSdiMS5Prdf7969lbnb+/btKzRnWozP26I835y7gzp27Gh1+7/+9S9ZOH78uCzs27dPnubUqVOtXv2goCCZaT1y5MiNG1Ze6WZj2ORl/4k4EZJzZ+HckFP7mQnn3E39IWVT5+y04xbbdRVbVe28rGafne6+VQrdSXDou0r5dvzSYg4RAAAAwJ+LujOgrVIyg3kXSD1y5IgshIeHO7S3/D9zlpR5Wy1atLBaQc7wEkJcvHixbNmyhR5I+de1THEKIZSX+LVv337x4sX9+vWzZ40Ih1jtKzkXTwhx4cKF/C93+v3334UQVatWtf8oFStWnDp16uTJk+Pi4pYvX75w4UK9Xi+EyMrK+stf/nLu3DmtViuK3KUFXSkhxMCBA+WSr19++eX8+fOV7devX5c/6p84caI9vw52aBQ5cTolcMXzszoGSovVYA4dOiQL7dq1s39X6g0nOy+TegEIB4e0E5E41+cOmT9//oEDB2Suc9q0aR07dlQ6Nr9ifN4W+/PN6TuocePGsnDq1Cm5BPPhw4flllatWhXUqk+fPt99950QIikpSTkXhe1hY5vVE3EiJOfOwrkhVyzPTB8fH51O52irEnNqX2lH4BT93bPnfurv5h0cUPulwCaj8n6k9atWs8+OlI0dDFnXCmru7lNZWbvjduIKo/6OuuGqqZq177oAAACAJ409k6WKtH9V924/ZUqX1aWHnRAXFycLwcHBWmuUCb/Xrln5J1ZOTs7evXvff//93r17169f38/Pb/jw4RZ1goKCNm/eLITQ6/VDhw719vbu3bv3tm3bZPZWPRUrVpTviXr33XfllDRFQkLCnj17hLXfOxfKxcWlcePGn3zyyZ07d5TXSV29elVZk6SIXWpDuXLlZH5n0aJFeXtPWW67b9++9uzHoVHkxOmU1hW3k5LQdOh3E06s+2lB6UmHbl71hpOdl0m9AISDQ9qJSJzrc4e4ubnt2rXL29tb/vn888+npaUVVLkYO1Ol55sTypUrJwvKewhl+lsIERgYWFAr5RWOp0+fVjM64XRIzp2Fc0OuWJ6ZGo3G5RFm/4k8gnLvp905+6MQQphNGWc2KNs1Lu5Ptf23jYbBzd5RyrdiP1ctwJJQ2iMIAAAAeCSo/n+81T6AnZSfXRfxl+MKZZ6y0Wg0WKOkNtzc/mcaeEZGxsiRI3U6XYcOHaZNm7Z58+aEhITMzEz5Si4LvXr1unDhwrBhw+Sfmzdv7t69u6+v7/z5863WLxYajWbt2rVCiKNHj4aFhf38888pKSknT57897//3aRJEyFEtWrV+vfv7/T+PT09P/74Y7miqxBi9+7dsuB0l9rj3XffFUIYDAblcCbT/7N353FRV/vjx98zA8OOG6Im4oprbrlgminmdSmVrCzzapH3hjdNU+taGipq5po/TW3RzF1LLdNc8n4Ft9yzEpRBBUpzBVQM2WaYmd8fH+/EhQGHwQ+gvp6P/jjz+Zzz+bzPmY+TvufMOZYZM2aIyIABAypUqODIRYr1FDnXnTJ5xx1ky/FlZGTctbJt1cuCkzSLy/Yj/WL94VX1cXLkbVI1ACnOI+1EJM6NeXFVrVrVtv9ednZ29+7dc3Nz7da8h4Op9ueb42yh2np3879b4en1+sJaeXt7KwXbYk2qciIk53rh9CNXnj8zISI6fQURMWVevXLwvXMbOuVm3fmeybNaO43O/nvt6lXdt24fpXwrcXNuVmrphAoAAADg/lUGS3DY5evrqxSMRqO7u3vJL2ibpWUwGIrexjHvr7wTExNbtGiRmZkpIjVr1hw8eHBwcHCNGjV8fX2XLl06f/78gs1r1aq1bNmyxYsXHz58+Msvv1yzZo2yFd7Bgwc3bNhQ8o7Y1aVLl23btoWGhv7yyy+9e/fOeyogIODw4cPFWkfbrjFjxsybN09ELv13g3jnhtRBnTt39vLyysjImD17tjJ19Oeff05NTRURWyr8ror1FDndnTJ5xx1hW5fANlexCBcuXFAKyqK6JWH7TX2x0kmqPk7iwNukdgCOP9JOROLcmDvhySefnDJlyuTJk0UkNjZ25MiRw4YNK1jt3g5mKXy+OSIrK0sp2NYMsX1tYDKZCsvD2r7+ybeqvkqcCMm5XpTkkSu3n5kQEZ17JREx3b4kIrmZ1y4fGBfYY8WdU3qf3Cw7G/T5tXrLVk75xc7fiwAAAAAgn/KSgG7evPlXX30lIteuXbOlEUuidevWy5cvF5HAwEDbr8iLZjKZgoODMzMzK1asuGPHjscffzzv2SZNmhTR1t3dPSQkJCQkZMGCBX379j106NDGjRvj4uKaNm1akl4UIT09XUQ6duyYnp4eGxvr6en5+OOPh4WFDRw40LkJm/lUqlRJKdhmyDoxpI7T6XTjxo2bPHnynj17UlNT/fz8Fi5cKCJVqlRp3769gxcp1lNUwu6U/jt+V8rqB0ajce/evWazueg8YFRUlFJo27ZtCe9bv359pZCenu74Aq+qPk42RbxNagfg+CPtRCTOjblzIiIi9uzZs3fvXhH57LPPlBx6Pvd8MNX+fHPExYsXlYLtD3WLFi2+//57Ebl+/bptjnA+v//+u1Jo2LCh6iE6FZJzvSj5I1cOPzMhIi4efiKSm3FFealkohUWs53ss4uHX8WgOysIpV/Ynbc+AAAAABSmvCzBYcuCKWmOkrPthRUfH+9gk+PHjyubO23evDlf9tlxlStXVnKgkmdJ4nvuxx9/fPnll4ODg5VdwqxWa0ZGxu7duwcPHnyvsjO2NJNtJJ0Y0mJ57bXXlMLXX3+dmZm5atUqEXnvvfccX4mmWE/RvepO6bzjjtBqteHh4SKSnZ1tyy/blZOToyRD3d3dHc/vF8aWP7ItlesItR+nfAq+TaUQgIOPtBORODfmztFqtVu3brUtiLxp06aCde7tYJbC55sjdu3apRRat26tFDp06KAUbPudFrR161al0LhxYzWjE6dDcq4X9/CRKz+fmQ8nnd7X1bum7aWLh7+ImDLvLM7uUfXOPpmW3CyL8XbB5n4tRtjKySfmqBgoAAAAgAdIeUlAd+7cWUnKREREFLbMaLG0adNGmQM7YcIEB5vY5nw1atSo4NnLly87eB3b7DD1foI9c+ZMEWnfvr3TO8iZTKZJkybZlvUsaM2aNUqhZ8+eSsGJIS2WWrVqKcnQRYsWHTp0SDk4ZMgQx69QrKfoHnanFN5xB0VERCiFoUOH2hauLWjq1KnKT+znzJlT8tUMunTpohQ+++wzuxXsfh+g9uNUUL63qRQCcPCRdiIS58bcaT4+PraVrO26t4NZ8s+3YrH7WZGTk/PRRx+JSKVKlZo1a6YcDAkJUT5hJk+ebHerzxs3bihrSrRq1Uq9/SHzciIk53pxbx+58vOZ+bDR6NzqPxfV4IV91YMna108RMTF019EcjOTRUSr9/Fv+65S86ZhlUj+x0PnVrFSkzufYJlXjxhvqf4FGAAAAIAHQ3lJQHt4eEyfPl1EkpOTR4wYkW+Vydzc3HHjxn3xxReOX1Cn0yn1d+3a9dFHHxX8Z7bRaFy5cuXJkydtRx555BGlkG9emNVqXbp06ZQpU/JdIS0tbcqUKTdu3Mh33BansmWWGpTNo+bPnx8REXHkyJHExMTz58+fP3/+0qVLyk/X72ru3LnTpk2rW7eu3amyR48eVVKZYWFhNWvemSrlxJAWl3LT+Ph4ZX5uSEhIsZI4xXqKnOhOGb7jDqpWrZqSNbt06VKXLl1su43ZWK3WWbNmffjhhyLSoEGDf/3rXyW/6aOPPlq3bl0RWbVq1c8//5zv7KJFiyZNmlSwlXqPk4NvUyk8z+LYI+1EJM6NeUm0aNHi008/LezsvR3Mkn++FcuwYcPyfVtjNpuHDh2qbAawcOFC24x1Ly+vWbNmiUh8fHzB7K3RaLTtjrh06dJ7HqddToTkXC+ce+TK/2fmw8a/zTvKos+VmgxpOOiX6sGTvap3EBG3ig38Wgxv+NIRZUK01ZyTGmPnz3uV5n8tAX/t2IelFTUAAACA+155SUCLyNixY5Wpx0uWLAkODv7+++8TEhIMBsO6devq168/Z86c4cOH23aFcsQLL7wQGhoqIu+8806nTp22bNkSHx+flJR0+PDhyMjIypUrh4WFde7c2WQyKfXbtm2rJBpefPHFVatWJSQknDlzZuPGjY899lh4eLiyuEFeYWFhkZGR/v7+ERERJ06cSEpKOn78+Ouvvz5+/HgRGTx4sC11e89NnDhRCXX69OmPP/54gwYN6tSpU6dOnYCAAF9fXz8/v5kzZ9r6ZdepU6dEJCMjo3v37h07dvzuu+8MBkNSUtK+ffuGDh2q/EY7MDBw0aJFeVsVd0iLq0ePHsrKxcoPwJWRLJZiPUXF7U4ZvuOOGzNmzNChQ0Xk2LFj1apVmzRp0o8//piUlHTq1Kk1a9Y0b978vffeE5Hq1asfOnTonixooNFobOmkNm3azJw5MyYmJjExcdu2bd27dx85cuTIkSPtNlTpcXL8bVL7eRaHH+niRuL0mJfEsGHDXnjhhcLO3sPBLPnnW7EYDIagoKDVq1fHxcWdO3du8+bNLVu2XLdunYh06tTp5Zdfzlt59OjRylI/06ZN69q16/bt25VPmLVr1zZs2HD37t1565QOJ0Jyoolzj9x98Zn5UEk79405J00pa7QulZoM0VeoJyIVGw6s+thYje7OppTnd71iMeVff0Or96ny6OtKOTs1NvtGXGlFDQAAAOC+V142IRQRvV5//Pjx0NDQPXv2/PTTT/369ct7tl69etHR0cXa+0ij0XzzzTcTJkyYPXv24cOHn3322XwVmjVrtn37dtsSBN7e3itXrhwyZIjJZHr11Vdt1Xx8fI4dO9a4ceMlS5bkbT5v3jwlYTF9+nRl4q3N008/vWzZMsdDLa7GjRv36dNn69atrVu3Pn36tNFozHv2+vXr48eP37Zt24EDBwr7DfvatWsHDx48aNCgtLS0w4cP9+/fP1+FZ555Zv369V5eXnkPFndIi8vNzW3kyJHz58+X/+5YVdwrFOspKm53yvAdd5xGo1m2bFmvXr3+/ve/m0ymadOmTZs2LV+dwYMHL1my5B5uXtetW7dFixa9+eabIjJ+/HhbmtXV1XXPnj3t2rVT5v8WDFWNx8nxt0nt51kcfqSdiMS5MS8JjUazevXqY8eOXbhw4Z50oTAl/3wrll9++eVvf/vbK6+8ku943759N27cmG/BbhcXlx9//DE8PHzVqlX79+/fv39/vlbz588fNWpUyaNynBMhOdcLJx65++Iz86GSczM+YWNnv5YjqjwaLho7UxCybxguRr9hun2x4KkqTV/7b524P6KGFawAAAAAAIUpRzOgRcTHxycqKkrZbKpGjRo6na5Bgwb//Oc/d+7ceebMmdq1axf3gjqdbtasWYmJiREREe3bt3d1ddXr9U2bNh0zZszRo0djY2PzXXPw4MHHjh3r27evl5eXXq9v27bt4sWLr1692q5dOx8fnzZt2uStXK9ePYPBsH37diVarVYbGBg4ZMiQH3/8cfv27cqvyNWQmJhYs2bN/fv3GwyGn3/+OScnx2q1Wq1Ws9n8559/Hjp0qEWLFiJy8ODB06dPF3Gd3r17p6Sk7N69++23327fvr2np6erq2uLFi1Gjx79008/bdu2ze7qnMUd0uJ64403lMLYsWOdm59brKeoWN0pq3fcCQMGDEhLS1u/fn1YWFjt2rV1Op2vr2/Pnj1nzpyZmJi4evXqe5h9VowYMeL06dPh4eE1atRwdXVt27bt7Nmzk5OTu3bt6unp2bx5c7ut1HicivU2qf08i8OPtBORODfmJeHu7r5//34/P7971YWC7tXnm4NatWoVEBBw8uTJRYsWPf74466urn5+fkOGDNmzZ8+WLVvc3NwKNnFzc1u5cuWpU6fGjRvXpk0bV1dXT0/PkJCQmTNnXrly5a233iqdpatLGJJzvSjuI3cffWY+PCy5Wckn5savefT3HS/Z1tlI/yPq6pHJiZt7/ra1n93ss4ik/PqxYUUDw4oGv23tl5uVXIohAwAAALjvaezuQYTyrH79+klJSVu2bMk3vdfm0qVLAQEBIrJjx47evXuXbnQA4Dw+33B/MaxoUNYhOE/r4tFocKyInFnbquCaGw+JJmEJZR0CAAAA8OArXzOgcVdpaWlJSUkiEhgYWFgd2y/W69WrV0phAUCJ8fkGlCaNy52fwljN2UXXBAAAAICSIAF9n7Etyjx58mSz2VywQk5OjrIHXYMGDRo2bFiqwQFACfD5BpQmnau3iNy+uNdqyS3rWAAAAAA8yHSRkZFlHQOKQafT6fX66OjoM2fOLFu2TKfTiUhmZmZqaqrBYFi1alX//v3PnDmj7MVXsWLFso4XABzF5xvuO6m/flzWITjPbLyV+uvHfyZtLetAylLVVqW6aygAAADwcGIN6PuP1WqdNm3a5MmTC6vQtm3bzZs3K8ukAsB9hM833F/u6zWgIawBDQAAAJQKEtD3qxs3bmzatGnHjh0xMTHnz5/X6/UtWrTo3Lnzyy+/3KZNm7KODgCcx+cb7hckoO93JKABAACAUkACGgAAwBkkoO93JKABAACAUsAmhAAAAAAAAAAAVZCABgAAAAAAAACoggQ0AAAAAAAAAEAVJKABAAAAAAAAAKogAQ0AAAAAAAAAUAUJaAAAAAAAAACAKkhAAwAAAAAAAABUQQIaAAAAAAAAA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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
 </div>
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@@ -12099,7 +12099,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/fg-pct-allocated-inclusive-recovery-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-11" data-glightbox="description: .lightbox-desc-11" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/fg-pct-allocated-inclusive-recovery-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-11" data-gallery="quarto-lightbox-gallery-11" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
 </div>
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@@ -12108,7 +12108,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/fg-building-blocks-allocation-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-12" data-glightbox="description: .lightbox-desc-12" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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Rn17zrnK9LnEErnryj7eHXZP7f7X2JVUXpwYo09i3dao8Ourpg+p2Vk5+1/ytgGB19crr9u27Nb9rovnT4nSovKNhWmj+Y2Obz19ybFMnxMAQAAsBfZ91dA33777SGEjIyMBx98sOJmGj169Fi5cmVWVvnX4Ysvvvia6tuhVq1aLV68OOop7JiXlL1K1oGN6/zs5FQ7/uma9aOmZX+3ee2re5bmLysa/3ad607ObFY3hLB56oKKc2O52fv9aWBO99ZfeZXS9z4vPP7uHQxo8Lt+ueccFkJIrCku/WCv+MD8Bsmp167xYdek2qUbPit85/YaDTs36nLV5tXz1y6e0LjrkKxaTUMIG/45bdtZWbmNW5yw9U3Zsu6jz1+5qmT9JyEkM3LqNO32v/U7/DCEUKP+gXXbnP3lkqe/3hsCAACA7dr3A+hJkyaFEI4++ujc3NxKB1RMn0MIn376abRlAeyS2j85MdUoK1i58tR7k6XxjCZ1Qggl7y0rnji3+C/v1OjRNrF2U7xwQ7mJGY1rN55yZWarBqkfk6XxWPYuLpXNPrRlKn0OIXw5YmqIJ3Y8nnIadbky1Sj5csnSKWcmE6UNc5uEEDatyl/30ZPrCp7Ka35MfPPabVc3hxDqH7R1z+5kouyT5y+Mb1mX+jFRsmHFrJvrHNA7s0b9EEK9dn0F0AAAAOw99vEAuqysbN26danGTk1cssQDtYC9Ue7pnVKNDfe8miyNhxAym9QOISS+WB9CCInkltcr+fjKbF6vyWtDYrVyts694++J9Zvr3bbdfTx2rP6/n0+Y3Lhl8zPv79pJvs3qtNq6BcrK9+5PJkpDCJm5jUMIZcWFIYSQTBQtf6PirPoHnpNqrH7/9+n0eatkYsOnL9Vvf14IIadu68gKBwAAgJ22j+8BnZmZmdq09+233169evVXjl+zZs3gwYOPPfbYa6+9NtWTl5eX82+DBg0qN760tPRvf/vb5Zdf3q5du9zc3Pbt21933XWff/75V15o5cqVo0eP7tq1a15eXseOHYcOHbpixYqKw/Lz81OXfuqpp776brc/5a233sr5KqNGjap4tg8++GDo0KGHH354Xl5ey5YtBw0a9MYblcQiVbFkyZLrr7++ffv2ubm5Xbt2HTNmTFFR0fYGL1269Je//GWPHj1q167doEGDM84447777luzZk3FkYlEIlX/OeecU+mpZs6cmRrw8ssvlzsUj8cnTZrUt2/fxo0b5+XlHXvssb/61a8q7r6yvXdhxIgROTk5I0aMSNf8i1/8ooo3uGLFihEjRhx55JF5eXlNmzY999xzX3rppWQyub3xsFVGLFZ764b1yZKt36tlNK0bQogX7ujRc/GVG+Kfb40s1/zPhA2/m54Kr3dB9iHfye7SItVeP+qFZJmHc+6kWEZGdl6qmYyXpBrZtZqEEMo2rdzBvIJJvT788+EFk05cOe+3FY+mz1my/pPqrBYAAAB2zz4eQMdiseOPPz7VPvroo5cvX77j8evWrRs7duysWbM2b96c6onH46X/Vm4Z9fTp05s2bXr22Wc//PDDS5cu3bx5c0FBwd13373//vun9v2oVDKZnDRpUrNmzW666aZ33323uLj4gw8+GDNmTMuWLV988cWK41OXTiR24i/cK05JJpOlX6VmzZrlTnLFFVd07NhxzJgx8+bNKy4uXrZs2aOPPnrcccede+65W7ZsqXo9JSUlI0eOPPDAA++6666CgoLNmze/++67Q4cObdu2bcXYvbS09Oqrr27Xrt3w4cPffPPNoqKidevWvfDCC1dfffV+++33yCOPVExpK313Kt57uYmrVq3q0KFDv379nnnmmVWrVhUXF8+aNevGG29s1qzZvffeW25wpe9C6t/Gk08+mUwmR44c2a5duzvuuOMrbzCEcO+9937nO9+59dZb586dW1xcXFhYOHny5FNPPbV27doN/+173/teFV9evl0SyeSGrb99tX90bIjFQgiZzeuFEBKrdhRAh7LEqvMfLho3u/Ck325+YeHulFBvxNZ/nMnSePET/9idU31LJROJ0q1vVsNOl4YQCyFk1WoWQohvWrXjmfGS9aUbl4VQ/mMwI7tWnf1PSrXXf/xsdVcMAAAAu24fD6BDCD/72c9SjYKCghYtWvz4xz9euHDh9paatmnTpqCg4MMPPzzttK1/H/32229/+G+//vWv0yMnTpzYq1evtWvXHnDAAWPHjp03b96CBQsef/zxJk2ahBD69ev38ccfV3qJa665pl+/fqeddtqzzz67aNGiN99888c//nEIIZFI9O7dO6KtP7p27fphZRYuXNiqVasQQnZ29iWXXJIeH4/HTz755IceeiiE0KNHj2eeeWbhwoVz5sy59dZbQwiTJ08+88wzq75c96yzzrrlllvOOuus5557btGiRdOnTz/99NNDCIWFhb179972PPF4/JRTTrnvvvtCCEcdddSkSZMWLFjw7rvvjh07tnnz5iGE//mf/7n55pt3/wVJJBI9e/ZcunRpCGHIkCFvv/32woULn3/++dQy6nvvvbfqif/ixYsvvfTSKt5gCOGZZ5655pprQghdunSZPHnyggUL5s6dO3r06Ozs7OLi4rVr165du3bTpk3pL06gnM1/X5Rq5HRv3fDhizIa5WV+p14IIbG2eMcTE6uKvrzpmbIPC3c8bMeyDmqafobhhjv+ntyyc7sbkbLh061/kFGr6ZEtT3ogq+Z+2XnNQwhl5TbW+GqxjKzcWs26tznz6VhmjRDC5jULv1wyuZrLBQAAgN2wj+8BHUI488wzv/e9702dOjX14wMPPPDAAw80adLk+uuvv+SSS5o2bbrt4Fgs1q5duxBCy5YtUz1dunSpUaNGxdP26dOnT58+F154Yf/+/TMytub4nTp1OuWUU5o2bRqPx4cNGzZhwoSKE6dNmzZ+/PgBAwake4455pgePXpcdNFFIYSf/OQnzz//fDXc9n+rWbNm+/btK/ZPnDgx9bjFiRMnNm7cON1///33v/766yGEUaNGDR06NBaLpfq7det23nnnHXLIIS+99NLzzz/fp0+fqlz9H//4x7Rp09KZfseOHU844YTzzz9/0qRJ77///ty5c4888sjUoQceeGDGjBkhhOuuu+7Xv/51+rqHHnroxRdffOqpp77++uujRo06//zzu3TpsmsvRcqcOXMWLFgQQvjjH/946aWXpjoPPvjg008/fdmyZTVr1kzt3FIViURiwoQJVbzBRCJx8cUXhxC6d+/+xhtvpK9yxBFH9O3bt3PnziGEhx9++Ec/+lFVrrtq5Y7+Wp991YbfvJJ+AGDN3gc3633w1gOxr+Pq9W45Y2srnih6bPbXccl90ar37q3Xrm+qXafVKXVanZJqpz/0qqJGg45t+/5nsXMyUboq/4HV+Q8kE+U3RSmssLMQAAAApO3XqFHVo7BdsO8H0LFY7K9//euNN9647frlwsLCG2644YYbbrjwwgv/7//+r379+jt72nr16qVD7W3tt99+/fv3Hz9+/OOPPz5+/Ph0Np32+9//ftv0OaV///633357fn7+Cy+8sHLlym2z4OgsW7YsVckFF1xw7rnnpvs3bdqUWjbetWvXbdPnlE6dOt1222033njjkCFDqhhAT58+vdx63lgsNnLkyNRGJS+88EIqn920adOQIUNCCG3btr3jjjvKXbdGjRpPPfVUaoH54MGD33rrrV266a3y8/NTjR/84AflDrVo0WJnz1bFGwwhfPbZZ+vXrw8hjB49utwvdqdOnU444YQZM2bMnDmzKgF0MpncwR7T31yVfNvDfyv7ePXanzzR4L7zy/U3mjx4y8wlGx94fcvrBSERyX7iWW0b1Thx61dZG+57LVlUEsVVvg1K1v9z2YyftTjh7nL9B5zxeNGKN1fPH1u0/I2Q3Imdl0IIZZtWlqz7KJmsZEvuffKzAgAAgOrScL/9Ij3/vr8FRwghKyvrjjvuWL58+c0331ynTp1tD02cOLFly5aprRiqSyptTCQSX375ZcWjJ510UqWzfv7zn6ca77zzTjUWsz3xePyMM85IJBJNmjT5wx/+sO2h1157LR6PhxBGjRpV6XK8/v37hxA++uijSp8KWFFqYW85bdu2TTXSWfCMGTNS1/3lL39ZMbgPITRu3DiVF8+ePXvl7i3+TX/lkFoHvZuqeIMhhHXrtv59fevWrStOOeKII0II8+fP3/2S2Ldt+ut7hSf8pmRO+WfN1Tiu3X4TBjaZcW1mq4ZRXLfuTaen20UP7eLzSElZv/SZJZNP3VRY/gM/r/mxrU59tN0P/p5dZ/8dnyGZKN32oYXZed9p0fPeA06fEMvIrv5yAQAAYFft+yug05o3b/7LX/5yxIgR77///rhx4+6///6SkpIQQlFR0XHHHffPf/4zJyenWi6U3rIj/STDqjj00ENTjQ8++CC1g3CkUq9DCGHatGm5ubnbHkovLu7evXulc1PLkEMIn332WcOGu5hzZWdvjUhWr16dasyaNSvVOPbYY7c36wc/+MHTTz8dQli8ePHurBPv2bNnuvHQQw+df/755V6E3VfxBkMI6Zo//fTTdEKd9u6774YQUrtyf6WMjIwW/94oZl+y40ewkVa2dNWqHzyU2bRurYuOrPOz//paK6v1fk1eG1J47F3xFZV8B7bLMls1qPnv7T6KHp2V+HJTNZ7826lk/cf/fO6HWbWaNOhwQaPDrtn2UE7dA9r94MUlT/UqLfrXdqd/ueSjvxwTQiw7r2mjQ39Sv8MFIYRaTY9scuT/fjF75LYj98nPCgAAAKpLpPtvhG9VOuWZagAAIABJREFUAJ2SkZFx6KGH3n333aNHjx42bNhdd90VQlixYsXUqVMr7sZQFZs3b37rrbdeeeWV/Pz8jz766LPPPtu1P3be799r3SN6DuG25s6de9ttt4UQbr311sMOO6zc0VQwHUJo0qRJpSuR0w/o+9e//pXOzXdfKn4NITRq1Gh7Y9q0aZNqfPjhh7vzmL7GjRtPmTKlb9++JSUlAwcOHDhwYN++fa+44oqTTz65ur6HqFTz5s2bN2++YsWKX/ziF2+++ea2v94LFy589dVXQ2W7glQqFotFWirfCPEv1m+a8l6dn50UEsniJ/9R64dHpPpj2ZkN7jt/1bljq/FadX9xWrq94XfTq/HM33JlxYVffvxso8OuCcnEuoLJ9dufl+qPZWR/54TffPL8hV91gmRp0b9WvDksI6d+3danhxAaHnxp4dw7kvEt6RE+KwAAANiDvhVbcFSqZs2ad955Z2qz4xDCK6+8srNnWLdu3dVXX52Xl9erV6+RI0dOmTJl4cKFGzZsSOezOyUra+uXATu1bnoXFBUVpVZYd+3a9aabbqo4IF1APB4vrUxqo4xta64Wa9euTTV2kJXUrl071ah0e5OdcvbZZ3/66aeDBg1K/ThlypQ+ffrUqVPnt7/97a69g1URi8UmTpwYQnj77bePPPLIF154YcmSJfPnz//Nb36T+ibggAMO+OEPfxjR1dknZdSvFUKIr/hy3XWTv+h2e7xwQ6o/p3vrWI1q+w3NbF4vt+/WJ38WT5qXWLmxus5MCCEzp14IobT4Xyve+N+PnuhRtqkw1V+r6ZGxzKrui/7lR0+k29l5zaq9SAAAANg137oV0OVce+21d999dwhh2bJlOzVxyZIlXbp0KS4uDiG0aNFiwIAB3bt3b968ed26dceOHXvPPffsbCWbNm39e/Zd3tSiigYOHLh69erMzMypU6dWusC+adOmqcaiRYt2vAK/4iYSu6NevXqpRmlpaXobk3LSq8vL7eW9a/bff/9HHnnk/vvvnzVr1h/+8Ic//elPJSUlQ4YMeeONN5544omvnr9LTjzxxGeffbZv377z5s0744wztj3UsmXLWbNmpffugKrIaFgrhBD/fF0IIf6v9euufWq/CQNTh2J1ayarKSmuc93J6faGO1+qlnOSllmzQQihdOOyEEJZ8RfLX7+h1Wl/3Hoop07Zpq1rmWOZNWs17Va68bOS9eW3/w4hxLf852u5qsfWAAAAELVvewDdoEGDVGOnNhQuLS3t3r17cXFx/fr1n3vuuWOOOWbbowcffPAuVPL555+nGp06ddqF6VX0xBNPTJo0KYQwceLE5s2bVzqma9eujz76aAihVatWtWrViq6Ycrp06fK3v/0thLB69er0Sudy/vnPf6YaHTp0KHdol5ct16xZs1evXr169frtb3971llnvfnmm08++eTChQujeyM2bNgQQjj22GM3bNjw/vvv16pV65hjjhk4cOAFF1xQvYvK+TbIaFQ7hJDe7jn+2dr/HNtcVj2XaFy71gVbN/fYPG1RKuymGmXlNgohlBWtSP2YSqJTEv/eSSOv+TGtTvtjiGWGZOLDx4+Kbyn/LmTX/c/28WWb7KYOAADA3uLbuwVHyqpVW/9f+vYeuFepOXPmpJ4s9/TTT5dLn3fZtGnTUo2uXbtWywkrWrFiRf/+/UMI/fr169ev3/aGpV+KxYsXR1RJpY4++uhUY/bs2dsb88wzz6QaHTt2TDUyMjJSy7TTb+Uua9iw4eOPP55q5+fn7+bZtmfmzJkXXnhh9+7dZ86cmZ+fn0wmi4qKXnrppQEDBkifqYqMujUzW9ZP/5jZtE4IIb58awCdfdjWx80li0sSG7dUnL4L6lzTK91e/6tp1XLOb7nMnLrZtVukf8zKbRJCKC3e+rzB3MZbdztJlG1KlGxdw75l3UchlhlCCLGMZkePKH/GWGbjQ69ONeMlX8Y3ry0/AAAAAPaQfTyALi0tveWWW1auXLm9AX/6059Sjd69e1c6IJlMVuxMr8M96KCDKh5dvnz5DkoqK6tkTeKWLVtSj0Ns0KBB586ddzB9l8Xj8T59+sTj8UaNGv3xj3/cwcgjjjiibt26IYQbb7wxikq2p1evXqlnHg4fPrzSl33NmjWpnTEOO+yw9D4hIYQuXbqEEObMmVPpa7tw4cKq15Cbm5tqVMsWH5UaM2ZMCOGoo46KxWIRXYJ9WKxGVpOZ1zV96+f1Rp4Vq5UTQshoWjeEEP9iQwgho07NusNOT40s+uNbobLfo52V0aBW3mVbvxza8ubSsoLtfpxSRbHMGu3OefnA815r1n14RlZuCCGrVpMQQllxYQghI6dOk26/SI1cu+ixELa+iWWbVq37aFKqXbfNmc2OvjU1N4SQWaP+/qeMzam3dU+kwjlj0rMAAABgj9vHA+g777xz5MiRbdq0efnllysenT179rBhw0IIAwcObNGixbaHGjVqlGp8+umnqUYikUinot/5znfSZ9h2VjKZHDt27K233rqDkq644opyjxmMx+ODBg1KbSd97733pkLYajdq1Kh33303hPDCCy/seGONzMzMhx9+OIQwbdq0u+66q2IWXFJSMm7cuPfee696K8zLy7v99ttDCIsXL66YQZeUlKSfzjd27NhtD6VWcycSiT//+c/b9qfejiuvvLLitdatW3frrbeuWbOmXH/qxkMIqUcCRiH1iMV77rln2LBhb7311pIlSz755JNPPvlk2bJlqa05YAfqDu2d2vQ577Kjmy0cVm/kWTWObRtCyO7QpM41PZu+OzSzSZ0QQnJL2YZ7p1ec3vCxS/Z74kep/+oM+c+65v3+MijdH/77q5HaPz4h3V7/y+ejua1vlyZHXJ/a9LnBwRd36D+vWffhec2ODiHUqH9goy4/7vDDt1ILopPxLavyH9h24hezby0t2rpKukHHiw4a8P6B577a/odvdrhwbu0WW9+mjctmpHNqAAAA2Bvs4wH0/PnzQwhFRUWnnHLKscce+9e//nXRokVLly597bXXBg0alNrzoVWrVvfdd1+5iccff3yq0bdv3xdeeGHKlCmdO3d+4IGtWUC3bt1SMfH555//2GOPFRQUfPDBB08++eThhx8+ePDgwYMH76CkRYsWtW/ffvz48QsXLvzoo4+efvrpQw89NJWc9ujR48ILL6zu1yCEEN57773hw4eHEE477bRGjRp9UpnS0tL0+PPOO69v374hhOuvv75Hjx5TpkxZvHjx0qVLZ82aNWLEiIYNGw4cOPD444/fdkq1GDJkSLdu3UIII0eO7Nmz59SpUwsKChYtWjRhwoQOHTq89NJL245Ju+qqq1Jvx6WXXnrTTTfl5+cXFBT89a9/Pe644wYPHlzp2vaBAweOGDGiSZMmw4YNe+edd5YuXTpnzpzLL7986NChIYQBAwaU+0KiGt18882pakeNGnXMMccceOCBrVu3bt26dcuWLevWrduoUaMxY8ZU+wvLPqP4L+8k1han2rGszLzLjs5q1yiEUOuiI+vccGqsxtZdXFZf8Ifkhkr236hxdJsax7ZN/ZfZvF66P6fr/un+bcdn1KlZ+6qtH4al+ctK5+/ozzuoonUfPZXewTmWkdXg4ItTi5frd7ig8eE/Sz8/8JNplyRK/+sZkomyTR//7awtaz9I92TX2T+VVqesXTT+85cvt/wZAACAvco+vufshAkTBgwY0L9//3Xr1s2aNesHP/hBuQHf+973Jk6cmJeXV67/9NNPb9Omzccff7x48eIzzjgj1XnnnXdeddVVsVisdu3a48aNu/jii0tLSy+99NL0rDp16rz99tsdO3Z86KGHtlfSvHnzTj311EsuuaRc/1lnnfXkk09GtPz5+uuvTzVefPHF1q1bVzpm/vz56d0/YrHYU089deONN95xxx2zZs36/ve/X25w586dp06dmp2dXb11ZmVlzZw5c/DgwY899tiMGTNmzJhRbsA999xzzTXXlOusX7/+888/nwqaR48ePXr06PShcePGnXvuuRUfaXj33XenvgAYNWrUqFGjtj3Up0+fRx55pNpuqYKOHTueeeaZzzzzTNeuXRcsWFBSUrLt0dWrVw8dOvTZZ599/fXX7dFBRaWL/vXFUXfUGdKr9lUnhIxK/oWULlix5vIJ8U+rZwvgvMt7bD3t/OVrBo6vlnOyZe3igiePb3To/9vvu4NDrJLP/M1rFn3+ylWlGz+veCi+ee3SKWfmNT+63oHn5jbqklP3gES8ZMuaRUXLZ64reGrbpxcCAADAXmIfD6BDCGecccbKlStfe+21559//vXXX58/f35paenBBx980kknDRgw4Igjjqh0VlZWVn5+/ogRIyZMmLB69erDDz/8sssuu+yyy9KZ4IABAw466KCRI0e+8sorpaWlXbp0ueyyywYOHJja3eKII4545513Kp72sMMOa9my5XvvvTd27NgJEybMnTu3Xr16Z5xxxqBBg0488cToAsddeEBfZmbm7bfffsUVVzz66KMvvvjivHnzYrHYgQce2Lt37wsuuODII4+MqNoaNWqMGzfuhhtueOyxx15++eX8/Pzs7Ozu3bv37t370ksvbdasWaWzTjvttE8++eRXv/rVs88+u2LFio4dO5533nlXXnlls2bNkslkly5dyj1UsG3btosWLZo2bdrEiRNffvnlL774omXLlieeeOIVV1zRo0ePKO4rZcmSJUceeWQymVy0aFH6OYohhEQiUVRUNH/+/CuvvDI/P/+NN95YsGDBd7/73egq4Zsrual0/a9e3HDXK9mHtqh5UofaV/cMIWx+cdGW1z7a8sbSsiWrdrD184oOO9ogqKINd7+84e5K9i9iNyXKNhW+c+fKd39Xc79Darfs2ajLVSGEDZ+9XLRsRtGKt0q+XLrDVczJohWzilbM+tqqBQAAgN0Rq/Rpb0AU2rVrt3Tp0ilTppx99tmVDli2bFnLli1DCM8991x66f23yvKWN+3pEr5JYrnZzT8aEUJYcfAvK91zg73Bl7f9ZQdHM7JyDxrwfgjhgwmHldtzo7ocPLAgitMCAABAVezje0DD3mPdunVLly4NIbRq1Wp7Y9I7crRt23Z7YyAtVitna2tT2R4thF0Xy8pNNZLxzTseCQAAAN9EAmj4mqS3Gh8+fHg8Hq84YMuWLYMGDQohHHjggR06dPhai+ObKaN2jRDC5lc+SJZV8i+Kb4TM7NohhI2fT08mfIsAAADAPsgWHPD1GT169E033RRCaNGixc9//vPu3bs3bNgwmUwWFhZOnz79zjvvXL9+fU5OzocffnjAAQfs6WL3DFtwsO/Z8RYcXwNbcAAAALAH7fsPIYS9x9ChQ8vKyoYPH75s2bIhQ4ZUHNCtW7enn346tQ00AAAAAHzT2YIDvj6xWOyWW25ZvXr1gw8+2Ldv3zZt2mRkZNSsWfOoo4667rrr5s6dO2fOHOkzAAAAAPsMW3AAexFbcLDvsQUHAAAA32ZWQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABCJWDKZ3NM1AAAAAACwD7ICGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEgIoAEAAAAAiIQAGgAAAACASAigAQAAAACIhAAaAAAAAIBICKABAAAAAIiEABoAAAAAgEhk7ekCAP5jecub9nQJUInvfD5qT5cAAAAA30hWQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0AAAAAACREEADAAAAABAJATQAAAAAAJEQQAMAAAAAEAkBNAAAAAAAkRBAAwAAAAAQCQE0wDdAVocmNU/vFMvL2dOFAAAAAOyErD1dAABfJTOjySs/DSH8q+uYZFHJnq4GAAAAoKqsgN5LffHFFzmVyc3Nbdeu3TnnnPO73/3us88+q8YrLl++vFu3bq1bt549e3a5Q/n5+amrP/XUU1U/4cyZM1OzXn755Wqsc8/atZciZcSIEam5a9asiaI29mGx3OxUI7lx856tBAAAAGCnWAG99yotLa20c+nSpUuXLn366ad/+tOfXnjhhQ8//HCtWrV2/3KXXHLJO++8E0Lo2bPnxo0bMzMzKxaTSCSqfsJkMpmalUwmd7+8vceOX4o333yzsLDw7LPPzsgo/+1OPB6v9D2F7cloXDvvwm41Tu2Y3al5qqf+nedsmvzulteXJEvKdjy35mkHN3jowlT7X51uSxZXdd107pnfrXvzGRlN64QQSuZ8uvqCP4T4TvziAwAAAGxLAL23a9my5SuvvJL+MR6PFxYWTp8+/fbbby8uLp44ceL8+fP/8Y9/ZGXt7luZzkbj8fhunupbK5FI9OjRI4SwefPmGjVq7Oly+CaLxfIGdq838qxy3bl9u+T27ZLcuGXt//vL5pc/2N7c2j8+oe7Q03bhsjWOadPg91tj63jhhjUDH5M+AwAAALvDFhx7u7p167bfRseOHU844YRbbrmlsLCwc+fOIYT333//gQce2P0LjR8//qCDDmrUqNHf//73csufqaL169fv6RLYR9S5tlfF9DktVrtGw3GX5F12dCXHMjPq33XOrqXPGQ1qNXzs0lQ7WRZfdfbv7TcNAAAA7CYB9DdVXl7e448/nmrfcccdu3/CVq1aLV68eOXKlSeeeOLun+3b6YsvvtjTJbAvyDqwcZ2fnZxqxz9ds/aKiRvvnR5CKM1ftu7nT8f/tfV7js1TF5SbGMvNbvTEj2qdf/iuXDUj1vCxS9KbTa+58NH45+t2qXwAAACA/7AFxzdY586dMzIyEonE559/vmXLFns+7HGffvrpni6BfUHtn2z9EqisYOXKU+9NlsYzmtQJIZS8t6x44tziv7xTo0fbxNpN8cIN287KaFy78ZQrM1s1SP2YLI3HsnfiTxnq/OzknK77p9pfDp+6ZdbH1XAnAAAAwLeeFdDfYLFYbP/9twZGW7Zs2bPFEEJYsmTJni6BfUHu6Z1SjQ33vJosjYcQMpvUDiEkvlgfQgiJ5JbXl5TOX77tlMzm9Zq+cV06fd5wx9/X3/pc1a+Yc0SrOkN6pdrFk+YVPfLm7t4DAAAAQAhBAP1Nl97zIS8vL92ZSCRycnJycnLOOeecSmfNnDkzNeDll19Od+bn56c6n3rqqZ2qIZlMvvjiixdddFHjxo1r16590kkn/eEPfygrK6vK3DFjxuTk5DRo0GD58uUVj8bj8Y4dO+bk5Nx6662VTh83blyq5o0bN27b/8EHHwwdOvTwww/Py8tr2bLloEGD3njjjR2UUVpa+re//e3yyy9v165dbm5u+/btr7vuus8//7wqtxBCWLNmzeDBg4899thrr7021ZOXl5fzb4MGDap01pIlS66//vr27dvn5uZ27dp1zJgxRUVFVbwi+7KMWKz21r9mSJZs/T3KaFo3hBAv3Li9SfGVG9I7Zqz5nwkbfjc9lVxX6YJ1au43YWCqXZq/bN31k3epbgAAAIBKCKC/wT755JPNmzeHEC644IJyjw0sLS0tLS3dXgqcTCZTA5LJZMVZiUSi6jUUFRX17Nmzd+/ef/7zn1etWlVUVPTqq6/+6Ec/OuSQQ+bMmfOV088+++zS0tJ169ZVmnq/9957H3zwQWlp6ejRo+PxStK04cOHl5aWHn300bVr107fwhVXXNGxY8cxY8bMmzevuLh42bJljz766HHHHXfuuedWuk58+vTpTZs2Pfvssx9++OGlS5du3ry5oKDg7rvv3n///SdNmlSVF2HdunVjx46dNWtW6u0IIcTj8dJ/q/gulJSUjBw58sADD7zrrrsKCgo2b9787rvvDh06tG3btitWrKjKFdmXJZLJDVv/odb+0bEhFgshZDavF0JIrNpuAB3KEqvOf7ho3OzCk367+YWFO3G5jFjDP16cirwTa4pX/fCRULYTnwAAAAAAOyaA/qaKx+MDBw4MIWRkZNx55517pIbS0tKjjjpqxowZIYSuXbtOnjx5wYIFc+bMueuuuz777LPrrrvuK8/QsWPH1NrtRx99tOLRJ598MtUoKSlZsKD889YKCws/+eSTEMLll1+e6onH4yeffPJDDz0UQujRo8czzzyzcOHCOXPmpBZQT548+cwzzyyXuU+cOLFXr15r16494IADxo4dO2/evAULFjz++ONNmjQJIfTr1+/jj796J9w2bdoUFBR8+OGHp512Wqrn7bff/vDffv3rX5cbf9ZZZ91yyy1nnXXWc889t2jRounTp59++umpO+rdu3e5CvkW2vz3RalGTvfWDR++KKNRXuZ36oUQEmuLdzArsaroy5ueKfuwcKeulXfZMTndW6faW179oMFv+zVbMKzZwpv3+9Olued23aldpAEAAAAq8hDCb57i4uJ33nnnqquuWrBgQc2aNWfMmNGiRYs9Usldd921cOHCEMJPfvKT3/72txkZW7/P6Nat28CBA7t16/aV6W1GRsZll1123333zZs3b8OGDXXq1EkfSiaTDz74YAihTZs2H3/88dNPP92lS5dt506fPj3VSMe+999//+uvvx5CGDVq1NChQ2OxWLqe884775BDDnnppZeef/75Pn36pE/Sp0+fPn36XHjhhf3790/X36lTp1NOOaVp06bxeHzYsGETJkzY8V3EYrF27dqFEFq2bJnq6dKlyw6eCfmPf/xj2rRp6bI7dux4wgknnH/++ZMmTXr//ffnzp175JFH7viK7Ns2/OaV3HMOS7Vr9j64We+Dtx6IVfOFMhrl1bv1e+kfc8/tmm7X6NmhRs8OiZvPWHXe2LKCldV8YQAAAOBbQwC9t1u4cGFOTk6qnUgktt2J4sYbb7zhhhvq1au3RwrbtGnTsGHDQggtWrS455570ultSsOGDR966KFTTz31K89zwQUX3HfffSGE2bNnn3LKKen+JUuWrF27Nicn57bbbrvooosefPDB4cOHbzsxlQsfeOCBTZs2TdXzs5/9LITQtWvXbdPnlE6dOt1222033njjkCFDtg2g69WrN3Xq1IpV7bfffv379x8/fvzjjz8+fvz4cne3m6ZPn3788cdv2xOLxUaOHJna8eOFF16oSgAdj8c/+/TTaqxqL5GzpwvYG5R9vHrtT55ocN/55fobTR68ZeaSjQ+8vuX1gpCohpXy9UZ8r1xP/P+zd99xUlX3/4DPbAMWdulNAQuKgIaiGFTEgFFRI6JG0VjBAmrE2FLE+I01mmJifpgmRmwYS5SgRsUoikZBCRaMFCkiKE36Und3Zn5/XDJulgW3cFnA53n5x5l7zz33s8gcx/ecPXfxmqzCuon8zf8esprVb/7PYUsOvnPbi6+/DuZV4pchAAAAYFfUpm3bnJwYU2IB9C6gpKSkwuMPPvhgkyZNhg4dmtkBeUd64403ojT8pptuKrcDdWQbS4DLyoStTz75ZNkAeuzYsSGECy644IQTTgghLFq0aMGCBW3bto3OlpSUPPPMMyGESy+9NDoyYcKEqJ7bb7+9XPocOfvss4cPHz5r1qwVK1Y0adKkMoU9/PDDqVRq9erVjRs3rszPUkkHHnjglgf33XffqDF16tRKjmNfo84RAAAgAElEQVSzjt3Yhr9/UDL180Z3nZZ36F5lj9c5sn2dI9uXzlu+/OwHkvNX1OQWWQV1653SNfNyzZ0vrbvvrfTGkhBCduuGjX773TpHtg8hJHKzG/36tBUXPVKTe+0GvN0AAACgegTQO7s2bdqMHz8+8zKdThcXF8+fPz9amXvdddf97Gc/e/XVV3f8pg1vvfVW1PjWt75Vk3Hy8vJOO+20p59+evTo0X/6058y2fEf/vCHEMK5557buHHj7t27v/feey+++GJmu+f3338/apx88slRY9KkSVGjZ8+eFd4o2tY5hLBgwYLKBNCZAD3zaMFY5ebmRo3ly5dX8pJYv5ui1pXOXbbs1HuzWxbmn3NowTVHlz2Vs3fTFhOuWnrEXclFq6s9fm63L7fuWfOLf669Z0LmZXLR6uXnPtDi1aty9mkaQqjbr1OiQZ302gqe4fn14e0GAADA7mp7b/lZnv+j3tkVFhbuv//+5Q4edNBBJ5544k9+8pNu3bqtW7fu8MMPX7RoUfPmzXdkYR9++GHUiHbAqIlBgwY9/fTT69atmzt3brSZ8uLFi+fOnRv+myZfeumlQ4cO/fOf/5wJoP/+97+HEBo1arTffvuVq6dFixYV7piRSqWixuLFi7t27Vru7MaNGydNmjR+/PipU6fOmjVrwYIF69atq+HPFavs7Oy27drVdhXb38LaLmBnk1yyZsPYDwquOTqk0uuffDf/zEOi44nc7Mb3DFz23ZHVHjm3S5tMe929/yp/ujS15rYXmvzl3OhVzt5NS/7ztf6Xs1u+3QAAAGAH2J4727KDde7c+U9/+lMIIZlMjhgxYgff/YsvNj+XrJJbbWxDZg31uHHjyjZOP/30aPBo1+YpU6asXr15vef9998fQrjooosyK6Yz65STyWRJRTLbZ5dbybhq1aphw4bVr1+/b9++t95669ixY6dNm1ZUVJQJrKF2ZTXKDyEkF61ede3TS3r8Irm0KDqe13PvRJ3qf4mY1ahe1Cj9ZHl6U+mWHUpnLPmyc5P8at8IAAAA+DqzAnrX1r9//6jx3HPP3XLLLTvy1vXqbU6vah7UFhYWHn744RMnTnzwwQcvv/zyEMKf//znEMLgwYOjDm3atGnTps1nn332+uuv9+/f//PPP1+8eHEI4cwzz8wMklmIPX369Ar3pM7I7LYcQpgzZ06XLl3Wr18fQthzzz3PPffcnj17tm7durCwcOTIkXfffXcNfzSouSj8TX62KoSQXLxm1dVPNR09KDqVKKyb/mJt9YZNLf/vGv+tPc8w68tfwUkXfa333wAAAACqTQC9a8s8fjCzHrmsWNfwRntlhBCKiooyYXS1XXLJJRMnTnznnXfWrVuXTCYnTpwYQjjqqKMyHS677LIbbrjhoYce6t+//yuvvBJCyM7O7t69e6ZD9+7dR40aFUJo165dfn6lVmuWlJT07Nlz/fr1jRo1ev755w8//PCyZzt16lTDHwq2i6xmDUIIme2ekwtWfnluYwUrlyupZNqiqJHTvlnIyQql5aeL3K5fbhJdOq+yW5MDAAAAlGULjl1b5oF1HTt2zBzMysqKlgAvW7Ysvlt37tw5asyZM6fmox1//PFRY/LkyRMmTAgh9O3bNxOvhxBOPfXUEMLTTz9dUlLy8MMPhxDOPPPMsptpZJ49OGPGjEredPLkydEf4JgxY8qlz1CLsgrrZrdplHmZ3bIghJBcuDmAzu22ee/m9PriVA0eDFj83oJMu95J3yh3NlEnp+HPTozaJf9ZmFq5vto3AgAAAL7OBNC7tqeeeipqnHTSSWWPd+nSJYQwefLk0tIKFkhOmzat5rfObNwc7UO9pddee63yo7Vu3XqfffYJIbzxxhuPPfZYCGHIkCFlOxxwwAEFBQWpVOrNN998+eWXQwjnn39+2Q6HHHJIYWFhCGH48OGVvOm8efMyg295duHC6j9yLZ3eyp4G8FUSdXJa/OvalpN+2PDW/on8vBBCVsvCEEJySVEIIaugbuFPN39bs+6BSaEGf9PSRZvW3vtm1G78/86od9JBmT03sts1aTZ2aFbzgujlqh+OqfZdAAAAgK85AfQu7L333rvmmmtCCLm5uRdccEHZU2eccUYIIZVKPfroo2WPp9PpkSNHXnrppTW/+0EHHRRFxg899NC7775b7uw999zzf//3f1UacOjQoSGE55577m9/+1sI4dhjjy17Nisr66KLLgoh3HDDDdGRI488smyH7Ozs++67L4Qwbty4u+66a8sIuLi4+MEHH/zggw8yR/bYY4+o8fbbb5ftGf0p3XzzzVWqP4TQrFmzqDF//vyokUqlhNFUSeH1/aJNn+sPPqzVtJ82vLV/nSP2DSHkdmhRcGWflu9fn92iIISQ3lRaNOK1ctc2eej8pk9cFP1TcFXfzPGmj1+YOR4SX+7sXPSLl5LzV4QQQlai8Z++t8e8W1u8dlWraTe2fOva3IM2vzuK7nql5MPqfxkDAAAAfM0JoHd2a9eu/fR/ffzxxy+//PIFF1xw8MEHR7s8jx07tlGjRmWvuuyyy7KyskIIF1xwwQ033DB16tTZs2f//e9/P/LII4cMGdKvX7+aF5ZIJKLAN4RwyCGH3HnnnVOnTp0zZ85zzz13zDHHDBs2bNiwYVUa8JRTTgkhvPPOO8XFxd26dWvatGm5DtEjB996660QQp8+ferXr1+uw+mnnz5gwIAQwnXXXderV6+xY8fOmDFj7ty5EydOvOmmm5o0aTJo0KDevXuXlJRE/Xv06BH9KQ0cOPChhx6aPXv2zJkzn3zyyYMPPnjIkCHllmBXRu/evaPGgAEDXnzxxbFjxx544IF//OMfqzoOX2frH5+S2e8ikZNdf/BhOe2bhRDyzzm04EfHJups3nZm+Vn3b/lgwDqH7VPniH2jf7JbN8wcz+veNnO8bP/0ptKlx92z6bWPN7/OSuTs1zyrsO7ms6XJlcOeKPrt+O3/QwIAAABfGx5CuLObP3/+3nvvvbWzrVq1evzxx8s+rC/SqFGjF154IQqaf/7zn//85z/PnHrwwQe/+93vlt1eudqOPvroe+6554orrgghXH/99ddff310PDc399VXXz300ENHjBhR+dE6dOhQWFi4Zs2aEMJll122ZYdDDjkkKysrytwvvvjiLTskEomnnnpq+PDhv/zlLydOnBgl2mUdeOCB//jHP3Jzc6OXDRo0ePDBB88777ySkpKyS8gLCgreeeedjh073nvvvZWvP4Rw/PHH77PPPp988smMGTNOOOGE6OCvf/3ryy67LFFm2SlsQ8n0xUu++cuCq/o2uOyozJ4Y/9Pho0UrLhmdnL9yy1PVkF67afm5D+Z1b1vvtG51eu2b075Zen3JpsnzNr0yc/3T72+ZcQMAAABUiQB615OXl9e5c+dDDz301FNPPfbYY8s+iK+s44477tNPP73jjjuee+65RYsWdezY8fTTT7/00ktbtWqVTqe7dOkyderUmhfz/e9/v2/fvr/73e+effbZZcuWde3adeDAgZdcckmjRo3S6fQ3vvGNDz/8sJJDJRKJiy+++De/+U1eXl70yMFycnNzhw4dGi0oLrdBR0Z2dvYvfvGLoUOHjho16qWXXnrvvfcSicR+++3Xr1+/s84669BDDy0XBJ977rkHHHDArbfeOn78+JKSki5dugwePHjQoEH5+fkhhEMOOWTKlCmV/9PIycmZOnXqTTfdNHr06OXLlx988MGDBw8ePHiw9JkqSW8oWXPHS0V3jc/tumfdozs0GNYnhLDxpembJsza9Obc0jnLtrb186IOVd43JlL83oKyzyQEAAAA2F4SNqgFdh4L29xQ2yXsXBL1clvPuimEsKjTLdYj16I9Pru9tksAAACAXZI9oAF2Xon8vM2tDaW1WggAAABAdQigAXZeWQ3qhBA2jp+ZLk3Wdi0AAAAAVWYPaICdV+mnK2xLAgAAAOy6rIAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBaJdDpd2zUAAAAAALAbsgIaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWOTUdgEAX1rY5obaLmE7WH3b47VdQu3oNGh2bZcAAAAA7FysgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoYPeU06FF3eM7J+rn1XYhsajTaP+Cdsdm5ebXdiEAAAAA25JT2wUAxCA7q8X4H4QQFne/M72uuLar2d4S2fue8kIIYdbjh6dK1td2NQAAAABbZQX0bmjlypWPP/74sGHDDjrooAYNGjRo0ODAAw+86KKL7r///qVLl9Z2dTuFhQsX9ujRY++993777bdrPtp9992Xl5eXl5c3e/bsmo/GdpGolxs10ms31m4lccjKqRs1UiVra7cSAAAAgG2zAnq3UlRU9IMf/GDUqFHljk+bNm3atGn3339/COHcc8+9++67mzZtWhsFVspbb721dOnSk08+OSsrri9Izj///ClTpoQQ+vTps3bt2uzs7JqMlkqlSkpKQgjpdHr71Ed1ZTVvUP97Peoc2zG3c+voSKNfn7bh6fc3vTEnXVy6Zf9WU29IFNbZ2mjFb85dfs4DMZVaDTn1mjXaf2CDtt+u26RjdKR1rztWzxm7btGb6eRXr/Iu3PuEFoden1OvRQhhw9Ipn447P6ST8VYMAAAAfO0JoHcfEyZM6N+/f1FRUQihsLDw8ssv79OnT9u2bUMIixYtevnll3//+98XFRU98sgjjz766H/+859OnTrVdskVSKVSvXr1CiFs3LixTp2tJoM1FOXFIYRkUgC3u0gk6g/q2fDW/uUO1xvQpd6ALum1m1Z+//GNr8z8nyvq52U12dYeyulNFWTWtSTRuNO5rXr+rNzRwn1OKtznpFTJus8nXLX2s1e3cX1+q5579hkRtUs3LF3wyiXSZwAAAGAHsAXHbuK5557r06dPlD7/6le/Wr58+R133NGvX7/OnTt37tz529/+9h133LF8+fLbbrsthNCxY8cOHTrUdskVW7NmzQ64y8MPP3zAAQc0a9bsn//8Zw2XP7OTKLi675bpc0aiQZ0mD55ff/BhZQ9m79koaqQ3lJTOW17un42vzFxz8/PxFl1pzboN2zJ9zsjKrd/2mJGNO523tQ7ZdRq1Pea+qJ1Olc77xxl2jgYAAAB2DCugdweffvpp//79QwhZWVkTJ0785je/WWG33NzcG264YeDAgU2bNt1pU9clS5bsgLu0a9duxowZO+BG7Bg5+zUvuObbUTs5f8Wa28flHtS6wbA+JVM/X/fwOwXXfju7VWEIYeM/Pip7VW6nVlFjzc9fXDdq0g6uufLyGrZv3u3KqF1StGDplF/UaXJgsy6XbVz+n5UzRjfvflVOfssQQtG8cRVfn8hqe8xfsnLqRa/mv3RBydrPd0jhAAAAAALoXV86nT7zzDOj9qOPPrq19Dlj//33j7+o6ps/f35tl8Cup8EV34oapbO/+OLYEemSZFaLghBC8Qefr//rv9c/PqVOr31TKzcklxaVvSq3W5uoUTJt8Q4uuEqadbk0ahSvnjN37EnpVEmTaB/nZVNXzXpy1eyn6rc+PLlxZemGih8x2rzblfWad43aS965bf3i7fDgTQAAAIBKEkDv8l599dW33347hNCtW7eBAwfWdjk1NWfOnNougV1PveM7R42iu19NlyRDCNktGoQQUkvWhBBCKr3pjQr+XtU5fJ+okZy3YsfUWT0F7Y6LGl988Pt0qiSEkF2veQihdP3SEEJIp9YtfHNr19Zr3r1Z1yui9uo5Y1ZMeyDmYgEAAAD+hz2gd3k///nPo8bdd9+dSCSqMcJNN92Ul5c3bNiw6OXUqVOHDBnSrFmzwsLCww47rLi4uFz/mTNnXn/99QcffHD9+vXbtGlz4YUXvvnmVvOvkpKSZ5999pJLLmnfvn29evX233//a6+99rPPPivXbcWKFUOGDDniiCOuvvrq6Ej9+vXz/uvCCy/ccuQqlVHO1KlTo5GfeuqpCjvMnTv3lltu6dWrV4MGDRo3bnzCCSfcc889K1ZUKqb84osvfv7zn3fv3r1+/fodO3a8/vrrFy1atGW3ZDL5t7/9bcCAAc2bN69fv/4RRxxxxx137JgdSHY3WYlEg83Pq0wXb35sYFbLwhBCcunarV6VnZV70B5RM7ls691qXSIrK7d+1EwnN78Zc/NbhBBKN3yx7Uuz8graHfdA1N647MNFb/4kriIBAAAAtsIK6F3bxo0bX3nllRBCVlbWEUccUb1BkslkSUnJuHHjQggjRoy48sorM6emT5+el5eXeVlSUnLFFVfce++9mSPr168fNWrUqFGjTjvttEcffbROnTplR37ttddOO+20lStXZo7Mnj37N7/5zW9+85snn3zy9NNPzxxftWrVyJEjy1WVTCajdmlpadlTVS2jQiUlJSGEVCq15fFrrrnmnnvuKXvwxRdffPHFF4cNG3bfffddeOGFWwv60+n03/72tzPPPDMz7MyZM++8885f/vKXL7zwwnHHHZfpuWzZsp49e86dOzdzZOLEiRMnThw+fPj/+3//74orrqjedwlfU6l0umhToqBOCKHBRUdsfGFaSKezWzcMIaS2nixnN/1vqruptHB4v5z9m2e3KEit3FD87vyNL80omfp5SKd3TPlfIZ1KlazNym0QQmjS+YKiT8eFkM7JbxVCSG5Ytq0LE1ltv31vFF4nN678dNx56VRyh1QMAAAA8CUroHdtCxYsiBoHH3xwbm5uTYb69NNPx40bd+WVV5588skTJkyYPn36uHHjHn744UyHZDL57W9/O4p9e/Xq9cwzz0ybNm3y5Mk333xzCOHpp58+6aST0mUyu7/+9a99+/ZduXLlXnvtNXLkyPfee++jjz567LHHWrRoEUI444wzPvnkk0znffbZZ/bs2R9//HEmpX3nnXc+/q9f/epX1S6jSpLJ5DHHHBOlz9/85jf/9re/ffTRR++///7IkSNbt24dQrj44otvvPHGrV1+5ZVXnnHGGccdd9xzzz03ffr0t9566/LLLw8hpFKpfv36ZXYXSaVSffr0idLnq6666p133pk2bdoLL7xw2mmnhRBGjBixZSzOtm385/Sokddz7yb3nZPVrH72Hg1DCKmV67d2SU77ZlEjUSenwdAj6x59QO5Be9Tp3b7gB32b/+OyZn+7OKtRvR1QeWUUzX8lauS3PLTN0X/Mqds0t37rEELpplXbuKpJp/PzWx4atdd+PmGPo+7qcPaUDme/2/bY+xu2PyWRVaPpAgAAAKCSrIDetX388cdR49BDD63hUMXFxaeccsqNN954yy23REc6duxYtsPvf//7N954I4Rw++23X3/99Zkluj169Dj99NO/8Y1vvPzyyy+88MKJJ54YHT/xxBNPPPHE733ve2effXZW1uavOjp37nzMMce0bNkymUz+9Kc/HT16dHQ8kUi0b98+hNCmzebnwnXp0qXChcxVLaNK/vjHP77++ushhGuvvfZXv/pVZvCuXbued955xx577BtvvHH77bcPHDiwS5cuW14eRfbnnntu5sjhhx/eq1evc845J4RwxRVXvPDCCyGEyZMnf/TRRyGEBx544IILLoh6durU6fjjj//888/r1q2bnZ39laWm0+mNGzZU42fcLRX9dny907pF7br9OrXq12nzia2vI8/p1GobA+b13LvFqz9Y0vu36bWbtluV1bXsgxEN2w+I2gXtjilod0zU3sYy+Zy6TVt+86eZlw3bn5JpN9jzqAZ7HtXi0Os/feHs4tXbecv1Deu3mvgDAAAAO6e69erF+rv4iWqvFWVnMGrUqGh/5Ntvv3348OHVG+TGG2+87bbbQgj777//jBkzMmFxWRs2bCgoKEgmk927d58yZcqWfynvuOOO4cOH77///plMfBvOP//8hx9+OCsrq6SkpNztLrroovvvvz+EsHHjxi0D6O1VxtSpU7t27RpCeOKJJ84444xyg++7776zZs3a8s/hiy++iJZv9+zZc9KkSZnj995779ChQ0MIf/rTn6JGOV27dp06dWoIYenSpc2bNx85cuSQIUNCCKtXry4sLNxGnduQTCbnf/pp9a7dmdU56i/Vu7DeKV0b31PBQzg3/WvO2j++semN2SH1v3NdIpGzb9O6Rx9Q/N6CkplL0muLQ3Yip12ThrefXKd3+6jL+semrLru6WoUs/q2x6tx1TYU7nvynkf9Zsvj6xa9tfw/I9ctfDOk/2fV/J5H/aZw35PLHildvyQrrzAr58tl3elUyazHD09ucxl1VdU96qXtOBoAAACwA7Rt1y4nJ8Zlyrbg2LVlvj/YLl9T3HvvvRWmzyGECRMmRDsy33777RXe6+yzzw4hzJo1qzJP6ovWa6dSqdWrV1epwu1bRjmvv/56NPgtt9xS4Z9D8+bNTz311BDC22+//cUXFTz/7eijj65w5B/+8IdRY8qUKSGERo0aRS+jddBsFxv+/sHSo35bPLl8KF/nyPZNRw9q8frV2e2a/M+JdLp0zrK1I98s/vf8dNGmkE6H0lTp3GXLzxlVMvXzqEv+WYdEW0vXujVzn5nz9LEblk4pd7x+6yPaHTuq/an/zC1omzmYlVdQNn1e+u6vZzx80Kwnes185Buznzxy3aK3ouOJrNzWve7cAcUDAAAAX2e24Ni1NW3aNGosWrSo5qNVuK1EJLPgt2fPnhV2iJYGhxAWLFjQpEmTCvtkZJY2b9y4sUoVbt8yypk4cWLU2MbjHE899dQxY8aEEGbMmNG8efNKjhyttg4hzJw58/jjj+/Tp0/0sk+fPvfee+/AgQPr1avydsOJRKKwYcOqXrXzq8mGF6Vzly079d7sloX55xxacM3/fBmQs3fTFhOuWnrEXclFX/WdRyq95tYXmj55cfQqt1Or4nd2ipXmxWs+mff8mTn5LRp3OKtZtyvLnsor3Kv9qS/NeapvybrFIYR6zb58I3/x7l3Lp/4p87Jk3eIF/xy87ynj8gr3DiEUtDsmK7d+qmTd9ipyt/w7CQAAALu3rS1I3V4E0Lu2/fbbL2pES2vj8+GHH0aNFi1aVPiXMvPcvMWLF2fy1sjGjRsnTZo0fvz4qVOnzpo1a8GCBevWVTPwqkkZX+n999+PGs2aNdtan3322SdqfPzxx717967kyJnvCaLnEDZv3nzs2LEDBgwoLi4eNGjQoEGDBgwYMHTo0G9/+9t5eXmVHDMrKysz7O5kYY1HSC5Zs2HsBwXXHB1S6fVPvpt/5iHR8URuduN7Bi777sivHKHk46WZds5eTXeSADpSun7p6k+ea9btypBOrZr9dKP9T4+OJ7Jy9zjqt5++8L0QQt2m38j0X/7R/eVGSOTP+xUAACAASURBVKeSS/99Z5ujN6fSeQV7bVwxbXuVt1v+nQQAAABqwhYcu7a2bTf/3v3kyZOj7SNiklmqnEwmSyqSuXvZLWNWrVo1bNiw+vXr9+3b99Zbbx07duy0adOKiooyMfGOKaOSVq5cGTW2kQI3aNAgalRp85BMMZn6Tz755Pnz50f7d4cQxo4de+KJJxYUFPzud7+r9h8OGVmN8kMIyUWrV1379JIev0guLYqO5/XcO1GnEn8xisu8lbJi3IO/erLzGoYQStYvXvTmT2Y90at0w+a4PL/loYnsOiGE7DqblyEXr5mXTlawpnzTyi93SM+uW7VfFAAAAACoEiugd22FhYUdO3acMWNGSUnJ+++/f8ghh8R0o5YtW0aN6dOnZ2dnb6PnvvvuGzXmzJnTpUuX9evXhxD23HPPc889t2fPnq1bty4sLBw5cuTdd9+9Y8qovIb/3T2gpKRky+cfRjJrtwsKCio/8oYNG6JG2V1B2rZt+5e//OX3v//9xIkT77///kceeaS4uPiqq6568803n3jiiaoWT1lZTfJDCMnPVoUQkovXrLr6qaajB0WnEoV101+s3fblicb5mXbpvOVxVVld2XUbhxBK1n4eQihdv2ThGz9qd9wDm0/lFZRu2JTc+N+a01v5MiPx5VePqZKiGGsFAAAAvvYE0Lu84cOHn3/++SGEH//4xy+//HJMd+nevfuoUaNCCO3atcvPz//K/iUlJT179ly/fn2jRo2ef/75ww8/vOzZTp067ZgyqqRLly7PPvtsCGH58uWZlc7lzJs3L2p06NCh8iN/9tlnUaNz587lTtWtW7dv3759+/b93e9+179//7feeuvJJ5+cNm3alj2pvKxmDUIIme2ekwtWfnluY+lXXl7n8H0y7dJZS7fRs1bk1GsWQihdt3nb9yiJjqSSm0IIG1fMiF7mNdw3kZWdTpX/3Yi6zb7co6N4zU60wQgAAACw+7EFxy7vrLPOip6898orr7z++usx3SXz0L8ZM2ZUpv/kyZOXL18eQhgzZky59HlHllElhx12WNR4++23t9bnmWeeiRodO3as/Mjjxo2LGt27d99anyZNmjz22GNRe+rUqZUfnBBCVmHd7DaNMi+zWxaEEJILNwfQud3aRI30+uLU2k3/7VNY9/jOIbv8HJjIyym8vl/ULv73/NSK9bFWXhnZeYW5DfbMvMyp1yKEULJ+cfSyXvPNjxxMlW5IFa8NIWz44v1M54K9v1NutER2nZaHDo/aG1dMS25aFVvhAAAAAALoXV9ubu4jjzwStU866aQFCxZsu/9f//rXiRMnVvUuhxxySGFhYQhh+PDhlemfWSl8wAEHbHl24cKvftRcOp2ueRlV0rdv3+jBhj/72c8qvPuKFSuizTG6deuW2QykrNLSClbXbtq06a677gohNG7c+MADD9xGAfXq1YsaVdrfg0SdnBb/urblpB82vLV/Ij8vhJDVsjCEkFxSFELIKqhb+NPjo57rHpgU0ukQQqJubvOXhzW575wWr12V13PvzEbP2Xs0bPb3IVnN6kcvV/3gyR3/45STyK7T/rRX9jt9QqueP8vKqRdCyMlvEUIoXb80hJCVV9Cix4+jniunPxRCOoSQKlm74r/PHtyz968L9z4hs+dGbkHbvb/zZE695tHLRW9ev2N/GgAAAOBrRwC9Ozj22GOvvPLKEEJRUdF+++33/PPPV9ht48aN3//+988+++zevXvPnTu3SrfIzs6+7777Qgjjxo276667tsxni4uLH3zwwQ8++CB6uccee0SNcquJ0+n0yJEjb7755q3dqFmzZlFj/vz5USOVSmVuV9UyqqR+/fq/+MUvQggzZszYMoMuLi4+88wzo/bIkSMrHGHo0KGZxwxGksnkhRdeGG2EPWLEiCjgXrVq1c0337xixYpyl0c/WgihW7du1aj/a6vw+n7Rps/1Bx/WatpPG97av84R+4YQcju0KLiyT8v3r89uURBCSG8qLRrxWnRJg8t6ZzXODyHk7NO02VOX7PHJLS3G/6DVRz9t+c6PcrtsXmu86rqnSz8t/+9ox2txyHXRps+NO53X4ez3WvX8Wf1Wh4UQ6jTar1mXyzucOSlaEJ1Oblo29Y+Zq5a+e1dJ0YIQQkhk7dlnRKfzZ7Q/dVyHs9/d77uv1m2yeXeXL9773cblH+34nwgAAAD4WhFA7ybuvvvuG2+8MYRQXFz8ne9856CDDvrDH/7w73//e+7cuTNnznz11VdvuOGGxo0b/+EPfwgh9O7du1WrVlW9xemnnz5gwIAQwnXXXderV6+xY8fOmDFj7ty5EydOvOmmm5o0aTJo0KDevXuXlJSEEHr06BGFrQMHDnzooYdmz549c+bMJ5988uCDDx4yZMiQIUO2dpfevXtHjQEDBrz44otjx4498MAD//jHL5O1KpVRVVdddVWPHj1CCLfeemufPn3+8Y9/zJ49e/r06aNHj+7QoUO0xXamz5amT5++//77P/zww9OmTZs1a9aYMWO6du366KOPhhB69er1ve99L+o2aNCgm266qUWLFj/96U+nTJkyd+7cyZMnX3LJJddff30I4dxzz91zzz0rHJ8KrX98Smrl5o0yEjnZ9QcfltO+WQgh/5xDC350bKLO5p3ul591f7po8/4bRSNeK/rlP78cIjsrp0OLrIabV6CnVm9YPvAv6x+bssN+hG1YNeupzC4Ziaycxp3Oy2u4bwihUYezmh98TSJ789MyPx13fqrky4crppOb5j5z0trP/7snTyIrr2H77LzCzWdTpQtfv3bZByN22E8BAAAAfG0lKtxqgF3U5MmTzzzzzE8++WRrHfLz8//85z+fc845iUQic/DGG2+87bbbQgjLly9v0qTJNsZPJpPDhw//5S9/WeHZAw888B//+Mdee+0VvXzkkUfOO++8cn0KCgpeeeWVjh07RjtpLFy4sHXr1mU7lJaWdujQodyPsM8++8yZMydTc5XKqNDUqVO7du0aQnjiiSfOOOOMsqc2bdo0ZMiQhx56qMIL77777iuvvLLsn14I4d577x06dGgIYcGCBccee+yW+1P379//ySefrFNnc1Y4d+7c448/ftasWVuOf+KJJ44ZMyYvL28bxe/eFra5oRpXJerlFlzVt8FlR2U20yir5KNFKy4ZnZy/svxVBXXqHte53snfyOveNqth3eQXa4snzdv44kcbX5qRLv7qZxVuw+rbHq/J5eVk5dRr1vX7TQ8aktlJo6yNK6Z/Nv6ykrWfVXhtveZdG+57Sn7rw+s03CdVumH9kn+v/ezV1XPGlk2rt6NOg2bHMSwAAACw6xJA725SqdS777770ksvTZgwYdKkSWvXri0sLOzRo8dhhx3Wp0+f3r17bxluVj6AjsydO3fUqFEvvfTSe++9l0gk9ttvv379+p111lmHHnpouWR28uTJt9566/jx40tKSrp06TJ48OBBgwbl5+eHEHr06DFlypQtA+gQwtq1a2+66abRo0cvX7784IMPHjx48ODBg7csu/JlbGkbAXTko48+euihh1555ZWpU6fm5ub27NmzX79+F1xwQYUrx6MAulu3bu+9915xcfHIkSNHjx7973//u2HDhieccMKFF174rW99q1xJyWRy3Lhxf/3rX1955ZUlS5a0adPmW9/61tChQ3v16rXtynd71QugI4m8nNyue9Y9ukODYX1CCBtfmr5pwqxNb84tnbMs7NiJbvsG0JFEdl7dpt9o0KZPsy6XhRCKFryy7vPX1y2aVLx6brT1885AAA0AAACUI4Dm6+grA2hqS00C6EiiXm7rWTeFEBZ1uiWz58YOFkcAHcnKqXfAuR+GEGaO7hbTKuaaEEADAAAA5dgDmq+j4uLiqJGbm1u7lbDdJfL/u1h+Q4220dg5JXI2b1SdTm7cdk8AAACAnYEAmq+jiRMnRo127drVbiVsd1kN6oQQNo6fmS5N1nYt2192boMQwtrPXkundsN4HQAAANj95NR2AbDjrFixYvny5W+//faPfvSjEEJ+fv5BBx1U20WxnZV+uqLm+3jstIqL5k9/YL/argIAAACgsgTQfI1cfPHFY8aMybwcPXr0ls82BAAAAAC2F1tw8DWy33775efnFxYWnnbaae+9994pp5xS2xUBAAAAwO4skU6na7sGgM12j90zVt/2eG2XUDs6DZpd2yUAAAAAOxcroAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIiFABoAAAAAgFgIoAEAAAAAiIUAGgAAAACAWAigAQAAAACIhQAaAAAAAIBYCKABAAAAAIhFIp1O13YNAAAAAADshqyABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGKRU9sFANXxxRdffPOb36ztKgAAAADYtb3xxhtt2rSJb3wBNOySUqnUvHnzarsKAAAAAHZtyWQy1vEF0LCrys3Nre0Stqd0Ol1aWhpCyMrKys7Oru1ygJ1XMplMpVIhhOzs7Kwsm4kBW1VSUhI1drNPTcD25f9EgErK/J9ITk5OIpGo7XJ2JYl0Ol3bNQCEDz74oFu3biGEgQMHPv7447VdDrDzuu666+66664QwjPPPNO/f//aLgfYebVq1WrJkiUNGzZctWpVbdcC7Lz++c9/HnfccSGEK664YsSIEbVdDrDzuuCCCx566KEQwqRJk3r27Fnb5exKrBsCAAAAACAWAmgAAAAAAGIhgAYAAAAAIBYCaAAAAAAAYiGABgAAAAAgFgJoAAAAAABiIYAGAAAAACAWAmgAAAAAAGKRSKfTtV0DQNiwYcOsWbNCCA0bNtxrr71quxxg57Vw4cJly5aFEPbee+/CwsLaLgfYeU2bNq20tDQrK+uggw6q7VqAnVdRUdEnn3wSQmjatOmee+5Z2+UAO68FCxasXLkyhLDffvvl5+fXdjm7EgE0AAAAAACxsAUHAAAAAACxEEADAAAAABALATQAAAAAALEQQAMAAAAAEAsBNAAAAAAAsRBAAwAAAAAQCwE0sB0UFRU1a9bsoYcequ1CgNpnQgAqyXQBVJLpAsgwIeyKBNDAdrBgwYLly5c3bty4tgsBap8JAagk0wVQSaYLIMOEsCsSQAPbwcqVK0MI/gMABBMCUGmmC6CSTBdAhglhVySABqrvww8/vPrqqzt16vStb30rhHDxxRf/3//934cffrjtq0pLS5999tkLLrigdevW9evX79mz56233vrpp59W2HnJkiV5eXl5eXn777//+vXrq1rhHXfcEV1+++23V/VaoEqqNyGk0+l//etfQ4cO7dixY7169dq2bXvOOee88MILqVRqa5fMmjUrb5u2fL+bSWCnUo3pohpv/EiVPnUE0wXsZCo5XSxatGjbU0Q5U6dOLTdCVScZcwXseNX7342ynnrqqeitN3ny5G33rOrnh+pd+PWaSdIAVbdp06ZBgwZtbWLp06fP8uXLK7xwwYIF7dq1q/CqG264IZVKleu/ePHiTIebb765SkXW5Fqg8qo9IXzxxRc9e/as8KrOnTt//vnnFV717LPPbvuzzejRo8tdYiaBnUS1p4tqvPHTVf/UkTZdwE6jStNF2XdfZXz44YflblfVScZcATtStT8/lDVixIjMJe+88842elbj80P1LvxazSQCaKDKkslk7969o5muUaNGV1999VFHHRVCGDx4cGa2zc/PX7p0abkL58yZk5eXF3W45ppr3nzzzY8++uivf/1r586do4NnnXVWuUm57KyalZW1YsWKytc5ePDgXWtGhl1RtSeEVatWNW3aNOpw3nnnTZgwYcaMGePHjz/rrLMyo61Zs2bLO952220hhP79+39ckYULF255iZkEdgbVni7S1XrjV+NTR9p0ATuHakwX8+bNq3B+yJg5c2aXLl2ia9euXVvujlWdZMwVsMPU5PNDJJVK/eQnPwllbCOArt7nh+pd+LWaSQTQQJX95S9/iaa5H/7whyUlJel0+kc/+lEIoaioKJVKvfrqq23atOnTp0+5ubW4uHjPPfcMIeTl5ZVbdJBMJs8///xozPvvv7/sqXLLGS6//PJKFlnul1x2iRkZdkXVmxDS6XTfvn2jC8ePH1/u1GOPPRadOvvss7e843e+850QwogRIypfpJkEdgbVni7SVX/jV+9TR9p0ATuHmkwXW/PBBx9kgqEtz1Z1kjFXwA5TwwkhmUxuuXp6awF0tT8/iDu+kgAaqJpUKhVt9l92io++fIv+Y5BOp5PJZDKZLHfhAw88EE2OY8aM2XLY0tLSAw44IISQn5+/adOmzPEtf5/us88+q0ydp5566i43I8Mup9oTwvTp06P35u23317hyJl4evXq1eVOFRYWhopi620wk0Ctq/Z0EanqG796nzrSpgvYCdRwutiaPn36RG/PJUuWbHm2qpOMuQJ2jBpOCMXFxSeeeGL0djv88MPvvvvuqL21ALranx/EHV/JQwiBqlm2bFn0zNlrrrkmkUhEB5cuXRpCyMnJiV5mZWVlZf3P9JJKpa677roQQrNmzU4++eQth83Ozv7d734XQli/fv0TTzyxZYfWrVtHjSuvvPIri5wxY8aYMWNCCC1atKjsDwZUXfUmhBDC008/HTUuvfTSCkfO/E7ZjBkzyh5fv379mjVrQgj77LNPNQo2k0BtqfZ0Ear+xq/5p45guoDaU5PpYmtmzJjx2muvhRAGDRq05fu0Jp8uzBUQq5pMCOvWrTvyyCOff/75EMIZZ5zx+uuv77XXXtu4V7U/P4g7KkMADVRNNPuHEJo0aZI5uHjx4mbNmm3jqv/85z/Lli0LIfz4xz/e2ofFo48+Ojs7O4Rw1113bXn2lltuadWqVQjh6aefzqyd3JrLL788apR9zgCw3VVvQggh1KtX74ADDhg0aFDZC8vaY489osbnn39e9njmZcuWLatRsJkEaku1p4tQ9Td+zT91BNMF1J6aTBdbk9n+9aabbtrybE0+XZgrIFY1mRDGjBnzzjvvhBCuvfbaxx9/PBNYb021Pz+IOypDAA1UTUFBQdR46623MgcXL16cSYsq9PLLL0eNfv36ba1Pbm5utPna+++/v27dunJnGzZsOGrUqKg9dOjQbdxrypQpr776agihR48eAwYM2EZPoIaqNyGEEK6++uoZM2Zk3tRbij7DhRDq1q1b9vjHH38cQigsLKxXr141CjaTQG2p9nQRqv7Gr/mnjmC6gNpTk+miQvPnzx87dmwIoX///hWuf6zJpwtzBcSqJhPCOeecM2TIkJEjR/7617/OrJ7ehmp/fhB3VIYAGqiali1bRo92veGGG+bNmxcdXLRoUeZ3Rio0efLkqLH33ntvo1vm4bbl1jxG+vXr17179xDCG2+8MWnSpApHSKfTmfn6L3/5S/QdIxCT6k0IlRH9nmwIoX379mWPR08QOvzww9PpdFFR0Wefffb555+vX7++8iObSaBW1GS6qOobf7t86gimC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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/fg-building-blocks-allocation-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-12" data-gallery="quarto-lightbox-gallery-12" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
 </div>
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@@ -12142,7 +12142,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/fg-pct-allocated-racf-overall-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-13" data-glightbox="description: .lightbox-desc-13" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/fg-pct-allocated-racf-overall-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-13" data-gallery="quarto-lightbox-gallery-13" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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" class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
 </div>
 </div>
@@ -12151,7 +12151,7 @@
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 <div class="quarto-figure quarto-figure-center">
-<figure class="figure"><p><a href="index_files/figure-html/plot-pct-allocated-racf-by-geography-1.png" class="lightbox" data-gallery="quarto-lightbox-gallery-14" data-glightbox="description: .lightbox-desc-14" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
+<figure class="figure"><p><a href="index_files/figure-html/plot-pct-allocated-racf-by-geography-1.png" class="lightbox" data-glightbox="description: .lightbox-desc-14" data-gallery="quarto-lightbox-gallery-14" title="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"><img 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class="img-fluid figure-img" width="960" alt="Source: Urban Institute calculations of data from City of Rochester ARPA Reporting Dashboard and Monroe County Recovery Plan 2023 Annual Report"></a></p>
 <figcaption>Source: Urban Institute calculations of data from <a href="https://app.powerbi.com/view?r=eyJrIjoiNTg3NGZjNTYtYWI3NC00NTc3LWI1YTktZWJmMzY2NjBjNTBiIiwidCI6ImJlMjdkYTJlLTk0YjQtNDFkYS05NDdkLWY2MDJkNjBlODA3YyJ9">City of Rochester ARPA Reporting Dashboard</a> and <a href="https://www.monroecounty.gov/files/planning/arpa/July_2023_ARPA_Report_V3_8-22-23_With_Attachments.pdf">Monroe County Recovery Plan 2023 Annual Report</a></figcaption></figure>
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class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Sibley Tract, Arvine Heights&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Highland Parkway&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Highland Park Terrace&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Brighton, Home Acres&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Allen's Creek Road, Brighton&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>University Heights Estate, Rochester&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Irondequoit&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Avondale-Huntington, Hills, Irondequoit&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Rogers Estates, Irondequoit&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Inrondequoit & Rochester&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Maplewood Park&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Irondequoit&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Brownscroft&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Brooklea Gates&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>B&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>North East Central Rochester&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>East Rochester Gates, Greece&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>North East Central&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Irondequoit&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Podunk Town&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>North Winton&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>East Avenue Central&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Browncroft Extension&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Genesee&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>South Central&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Werner Park&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Brighton&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Corbett's Glen&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Cottage Grove, Irondequoit&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Greece&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Greece&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Kodak Section, Greece&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>St. Paul Driving Park&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>C&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Central Section&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>D&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>Central Section&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>D&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>D&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Name&emsp;<\/th><td>NA&emsp;<\/td><\/tr><tr><td><\/td><th>Redlining grade&emsp;<\/th><td>D&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table 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This is critical to the success of Rochester Amerks hockey team and the Arena’s contribution to the City’s economic vitality and quality of life. The existing, 20-year-old plant is at the end of its service life.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Broad and Allen Firehouse Priority Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.16M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Charles Carroll Plaza\r\nPhase II<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.50M<br><span style='color: grey;'>Description: <\/span>Phase two includes the removal of the plaza to perform structural repairs to the garage roof slab underneath, replacement of the slab waterproofing system, and construction of a modernized ADA accessible plaza. Phase one included renovation and extension of the Sister Cities Pedestrian Bridge.  The bridge and plaza will remain closed until completion of phase two.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Durand Eastman Park - Site Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.70M<br><span style='color: grey;'>Description: <\/span>Enhance Durand Eastman Park through the addition of accessible public pathways and numerous site improvements including lighting,  a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Erie Harbor Enhancements Phase 2 (Genesee Gateway Park)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.00M<br><span style='color: grey;'>Description: <\/span>Rehabilitate Genesee Gateway Park and the Genesee Riverway Trail within the park to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized, hand-carried watercraft.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Genesee Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.34M<br><span style='color: grey;'>Description: <\/span>Funding will be used for HVAC upgrades and window replacements at the firehouse.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Goodman Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.00M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Small addition to accommodate additional square footage needed for turnout gear room. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Humboldt Spray Park Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.65M<br><span style='color: grey;'>Description: <\/span>The spray park is reaching the end of its service life and aging infrastructure does not function properly requiring frequent repairs. The project will update mechanical, electrical, plumbing, control and surfacing systems.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Joseph A. Floreano Rochester Riverside Convention Center South Terrace<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$6.00M<br><span style='color: grey;'>Description: <\/span>This ROC the Riverway project encompasses a building addition and modernization to the southwest face of the RRCC along the river to create a new and revitalized event space that directly engages with the downtown riverfront. The expanded space will enable RRCC patrons to participate in convention center events and enjoy the spectacular views of the majestic Genesee River simultaneously.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Community Library Expansion<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.35M<br><span style='color: grey;'>Description: <\/span>Expand the Maplewood Branch Library facility on the Dewey Avenue corridor to provide critical services for community members, many of whom are New Americans.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Nature Center<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.52M<br><span style='color: grey;'>Description: <\/span>The Nature Center will serve as Rochester’s hub for specialized environmental education and expeditionary experiences along the Genesee River, including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Minister Franklin D. Florence Civil Rights Park<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.50M<br><span style='color: grey;'>Description: <\/span>Enhance the existing Baden Park through the addition of a Rochester Civil Rights Heritage Site in the 14605 neighborhood.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Parking Garage Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$2.00M<br><span style='color: grey;'>Description: <\/span>Repairs and supplemental structural support within the South Avenue and Stone Street wings of the South Avenue Garage for preserving the safety, structural integrity and service life of the garage.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>RPD Office of Business Intelligence Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.68M<br><span style='color: grey;'>Description: <\/span>Expand the capacity of the RPD Office of Business Intelligence at the Public Safety Building to develop necessary business processes, manage data workflow, create analytical products and upgrade Open Data Portal. 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Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Charles Carroll Plaza\r\nPhase II<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.50M<br><span style='color: grey;'>Description: <\/span>Phase two includes the removal of the plaza to perform structural repairs to the garage roof slab underneath, replacement of the slab waterproofing system, and construction of a modernized ADA accessible plaza. Phase one included renovation and extension of the Sister Cities Pedestrian Bridge.  The bridge and plaza will remain closed until completion of phase two.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Durand Eastman Park - Site Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.70M<br><span style='color: grey;'>Description: <\/span>Enhance Durand Eastman Park through the addition of accessible public pathways and numerous site improvements including lighting,  a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Erie Harbor Enhancements Phase 2 (Genesee Gateway Park)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.00M<br><span style='color: grey;'>Description: <\/span>Rehabilitate Genesee Gateway Park and the Genesee Riverway Trail within the park to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized, hand-carried watercraft.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Genesee Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.34M<br><span style='color: grey;'>Description: <\/span>Funding will be used for HVAC upgrades and window replacements at the firehouse.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Goodman Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.00M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Small addition to accommodate additional square footage needed for turnout gear room. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Humboldt Spray Park Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.65M<br><span style='color: grey;'>Description: <\/span>The spray park is reaching the end of its service life and aging infrastructure does not function properly requiring frequent repairs. The project will update mechanical, electrical, plumbing, control and surfacing systems.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Joseph A. 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This project is supported by the ROC the Riverway initiative.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Minister Franklin D. Florence Civil Rights Park<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.50M<br><span style='color: grey;'>Description: <\/span>Enhance the existing Baden Park through the addition of a Rochester Civil Rights Heritage Site in the 14605 neighborhood.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Parking Garage Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$2.00M<br><span style='color: grey;'>Description: <\/span>Repairs and supplemental structural support within the South Avenue and Stone Street wings of the South Avenue Garage for preserving the safety, structural integrity and service life of the garage.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>RPD Office of Business Intelligence Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.68M<br><span style='color: grey;'>Description: <\/span>Expand the capacity of the RPD Office of Business Intelligence at the Public Safety Building to develop necessary business processes, manage data workflow, create analytical products and upgrade Open Data Portal. 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class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014004&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>5.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>42.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>8.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>31.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>32.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>42.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>56.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>5.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>82.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>47.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003101&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>5.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>76.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>75.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>43.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>11.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014504&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>17.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>58.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>49.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>2.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>18.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>47.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>49.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>45.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>2.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>58.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>26.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>69.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>48.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>66.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>44.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>30.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>69.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>NA&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>30.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014104&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>2.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>26.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>52.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>44.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>59.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003807&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>7.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>47.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>49.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>13.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>19.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>37.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>41.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>9.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>8.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>61.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>61.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>44.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>37.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>12.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>33.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>50.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>39.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009404&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>20.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>17.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>84.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007802&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>4.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>8.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>27.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>12.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>40.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009403&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>71.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013005&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>18.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003806&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>36.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>34.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>62.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>16.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009402&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>9.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>13.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>9.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013006&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= 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This is critical to the success of Rochester Amerks hockey team and the Arena’s contribution to the City’s economic vitality and quality of life. The existing, 20-year-old plant is at the end of its service life.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Broad and Allen Firehouse Priority Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.16M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Charles Carroll Plaza\r\nPhase II<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.50M<br><span style='color: grey;'>Description: <\/span>Phase two includes the removal of the plaza to perform structural repairs to the garage roof slab underneath, replacement of the slab waterproofing system, and construction of a modernized ADA accessible plaza. Phase one included renovation and extension of the Sister Cities Pedestrian Bridge.  The bridge and plaza will remain closed until completion of phase two.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Durand Eastman Park - Site Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.70M<br><span style='color: grey;'>Description: <\/span>Enhance Durand Eastman Park through the addition of accessible public pathways and numerous site improvements including lighting,  a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Erie Harbor Enhancements Phase 2 (Genesee Gateway Park)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.00M<br><span style='color: grey;'>Description: <\/span>Rehabilitate Genesee Gateway Park and the Genesee Riverway Trail within the park to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized, hand-carried watercraft.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Genesee Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.34M<br><span style='color: grey;'>Description: <\/span>Funding will be used for HVAC upgrades and window replacements at the firehouse.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Goodman Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.00M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Small addition to accommodate additional square footage needed for turnout gear room. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Humboldt Spray Park Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.65M<br><span style='color: grey;'>Description: <\/span>The spray park is reaching the end of its service life and aging infrastructure does not function properly requiring frequent repairs. The project will update mechanical, electrical, plumbing, control and surfacing systems.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Joseph A. Floreano Rochester Riverside Convention Center South Terrace<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$6.00M<br><span style='color: grey;'>Description: <\/span>This ROC the Riverway project encompasses a building addition and modernization to the southwest face of the RRCC along the river to create a new and revitalized event space that directly engages with the downtown riverfront. The expanded space will enable RRCC patrons to participate in convention center events and enjoy the spectacular views of the majestic Genesee River simultaneously.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Community Library Expansion<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.35M<br><span style='color: grey;'>Description: <\/span>Expand the Maplewood Branch Library facility on the Dewey Avenue corridor to provide critical services for community members, many of whom are New Americans.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Nature Center<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.52M<br><span style='color: grey;'>Description: <\/span>The Nature Center will serve as Rochester’s hub for specialized environmental education and expeditionary experiences along the Genesee River, including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Minister Franklin D. Florence Civil Rights Park<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.50M<br><span style='color: grey;'>Description: <\/span>Enhance the existing Baden Park through the addition of a Rochester Civil Rights Heritage Site in the 14605 neighborhood.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Parking Garage Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$2.00M<br><span style='color: grey;'>Description: <\/span>Repairs and supplemental structural support within the South Avenue and Stone Street wings of the South Avenue Garage for preserving the safety, structural integrity and service life of the garage.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>RPD Office of Business Intelligence Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.68M<br><span style='color: grey;'>Description: <\/span>Expand the capacity of the RPD Office of Business Intelligence at the Public Safety Building to develop necessary business processes, manage data workflow, create analytical products and upgrade Open Data Portal. Establish dedicated space for the expanding Office of Business Intelligence.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Rundel Library Building Exterior Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$8.70M<br><span style='color: grey;'>Description: <\/span>Funding will be utilized to expand the Rundel Library exterior renovation project to include repair, restoration, and reconstruction of exterior parapets, limestone and brick masonry, historic windows, and structural framing systems for the east, south and north facades, and high priority structural repairs under the adjacent east terrace.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>State Street Reconstruction (Water Infrastructure)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$2.00M<br><span style='color: grey;'>Description: <\/span>This project includes pavement reconstruction and water infrastructure improvements that will enhance traffic safety and efficiency and improve the riding quality of the roadway, accessibility, and streetscape.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>University Firehouse Renovations (design)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.40M<br><span style='color: grey;'>Description: <\/span>Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>International Plaza additional vending space<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.08M<br><span style='color: grey;'>Description: <\/span>Expansion of vending and multi-use event spaces and provide new business development support services<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Bull's Head Predevelopment Activities<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.72M<br><span style='color: grey;'>Description: <\/span>Funds will be used to support predevelopment activities related to the ongoing Bull's Head revitalization project, located on the western part of the city surrounding the intersection of West Main Street, West Avenue, Brown and Genesee Streets.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Corn Hill Navigation Downtown Tour Boat<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.15M<br><span style='color: grey;'>Description: <\/span>Establishment of a new downtown tour boat, docked at Corn Hill Landing, is an important ROC the Riverway initiative and is anticipated to be a major tourist attraction for our community. 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class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014004&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>5.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>42.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>8.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>31.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>32.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>42.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>56.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>5.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>82.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>47.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003101&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>5.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>76.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>75.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>43.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>11.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014504&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>17.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>58.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>49.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>2.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>18.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>47.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>49.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>45.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>2.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>58.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>26.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>21.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>69.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>48.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>66.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>44.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>30.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>69.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>NA&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>30.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014104&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>2.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>26.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>52.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>44.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>59.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003807&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>7.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>47.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>49.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>13.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>19.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>37.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>41.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>9.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>8.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>61.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>61.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>44.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>37.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>12.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>33.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>50.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>39.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009404&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>20.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>17.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>84.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007802&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>3.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>4.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>8.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>27.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>12.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>40.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009403&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>54.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>71.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013005&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>18.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>1.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003806&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>36.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>34.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>62.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>16.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009402&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>6.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>9.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>13.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>38.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>0.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>9.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013006&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Black&emsp;<\/th><td>10.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= 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This is critical to the success of Rochester Amerks hockey team and the Arena’s contribution to the City’s economic vitality and quality of life. The existing, 20-year-old plant is at the end of its service life.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Broad and Allen Firehouse Priority Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.16M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Charles Carroll Plaza\r\nPhase II<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.50M<br><span style='color: grey;'>Description: <\/span>Phase two includes the removal of the plaza to perform structural repairs to the garage roof slab underneath, replacement of the slab waterproofing system, and construction of a modernized ADA accessible plaza. Phase one included renovation and extension of the Sister Cities Pedestrian Bridge.  The bridge and plaza will remain closed until completion of phase two.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Durand Eastman Park - Site Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.70M<br><span style='color: grey;'>Description: <\/span>Enhance Durand Eastman Park through the addition of accessible public pathways and numerous site improvements including lighting,  a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Erie Harbor Enhancements Phase 2 (Genesee Gateway Park)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.00M<br><span style='color: grey;'>Description: <\/span>Rehabilitate Genesee Gateway Park and the Genesee Riverway Trail within the park to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized, hand-carried watercraft.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Genesee Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.34M<br><span style='color: grey;'>Description: <\/span>Funding will be used for HVAC upgrades and window replacements at the firehouse.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Goodman Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.00M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Small addition to accommodate additional square footage needed for turnout gear room. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Humboldt Spray Park Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.65M<br><span style='color: grey;'>Description: <\/span>The spray park is reaching the end of its service life and aging infrastructure does not function properly requiring frequent repairs. The project will update mechanical, electrical, plumbing, control and surfacing systems.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Joseph A. Floreano Rochester Riverside Convention Center South Terrace<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$6.00M<br><span style='color: grey;'>Description: <\/span>This ROC the Riverway project encompasses a building addition and modernization to the southwest face of the RRCC along the river to create a new and revitalized event space that directly engages with the downtown riverfront. The expanded space will enable RRCC patrons to participate in convention center events and enjoy the spectacular views of the majestic Genesee River simultaneously.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Community Library Expansion<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.35M<br><span style='color: grey;'>Description: <\/span>Expand the Maplewood Branch Library facility on the Dewey Avenue corridor to provide critical services for community members, many of whom are New Americans.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Nature Center<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.52M<br><span style='color: grey;'>Description: <\/span>The Nature Center will serve as Rochester’s hub for specialized environmental education and expeditionary experiences along the Genesee River, including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Minister Franklin D. Florence Civil Rights Park<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.50M<br><span style='color: grey;'>Description: <\/span>Enhance the existing Baden Park through the addition of a Rochester Civil Rights Heritage Site in the 14605 neighborhood.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Parking Garage Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$2.00M<br><span style='color: grey;'>Description: <\/span>Repairs and supplemental structural support within the South Avenue and Stone Street wings of the South Avenue Garage for preserving the safety, structural integrity and service life of the garage.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>RPD Office of Business Intelligence Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.68M<br><span style='color: grey;'>Description: <\/span>Expand the capacity of the RPD Office of Business Intelligence at the Public Safety Building to develop necessary business processes, manage data workflow, create analytical products and upgrade Open Data Portal. Establish dedicated space for the expanding Office of Business Intelligence.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Rundel Library Building Exterior Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$8.70M<br><span style='color: grey;'>Description: <\/span>Funding will be utilized to expand the Rundel Library exterior renovation project to include repair, restoration, and reconstruction of exterior parapets, limestone and brick masonry, historic windows, and structural framing systems for the east, south and north facades, and high priority structural repairs under the adjacent east terrace.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>State Street Reconstruction (Water Infrastructure)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$2.00M<br><span style='color: grey;'>Description: <\/span>This project includes pavement reconstruction and water infrastructure improvements that will enhance traffic safety and efficiency and improve the riding quality of the roadway, accessibility, and streetscape.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>University Firehouse Renovations (design)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.40M<br><span style='color: grey;'>Description: <\/span>Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>International Plaza additional vending space<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.08M<br><span style='color: grey;'>Description: <\/span>Expansion of vending and multi-use event spaces and provide new business development support services<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Bull's Head Predevelopment Activities<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.72M<br><span style='color: grey;'>Description: <\/span>Funds will be used to support predevelopment activities related to the ongoing Bull's Head revitalization project, located on the western part of the city surrounding the intersection of West Main Street, West Avenue, Brown and Genesee Streets.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Corn Hill Navigation Downtown Tour Boat<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.15M<br><span style='color: grey;'>Description: <\/span>Establishment of a new downtown tour boat, docked at Corn Hill Landing, is an important ROC the Riverway initiative and is anticipated to be a major tourist attraction for our community. In addition, CHN will establish its new ticket and office operation at Corn Hill Landing.<\/div>"],{"maxWidth":800,"minWidth":50,"autoPan":true,"keepInView":false,"closeButton":true,"closeOnClick":true,"className":""},["<strong>Blue Cross Arena Ice Plant Replacement<\/strong> ($3.00M)","<strong>Broad and Allen Firehouse Priority Improvements<\/strong> ($4.16M)","<strong>Charles Carroll Plaza\r\nPhase II<\/strong> ($1.50M)","<strong>Durand Eastman Park - Site Improvements<\/strong> ($1.70M)","<strong>Erie Harbor Enhancements Phase 2 (Genesee Gateway Park)<\/strong> ($1.00M)","<strong>Genesee Firehouse Renovations<\/strong> ($0.34M)","<strong>Goodman Firehouse Renovations<\/strong> ($4.00M)","<strong>Humboldt Spray Park Renovation<\/strong> ($0.65M)","<strong>Joseph A. 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class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014004&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>28.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>34.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>15.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>15.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>21.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>26.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>38.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003101&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>26.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>2.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014504&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>29.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>17.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>38.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>31.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>41.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>20.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>1.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>12.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>14.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>35.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>9.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>19.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>NA&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>8.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>20.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014104&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>8.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>1.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>24.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>29.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003807&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>24.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>36.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>17.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>22.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>13.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>15.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>8.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>12.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>22.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>47.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>38.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>20.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>9.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>28.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009404&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007802&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>12.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>31.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>2.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>33.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>44.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>14.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>46.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009403&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>18.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>1.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013005&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003806&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>13.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>56.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>21.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>14.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009402&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>9.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent 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Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Charles Carroll Plaza\r\nPhase II<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.50M<br><span style='color: grey;'>Description: <\/span>Phase two includes the removal of the plaza to perform structural repairs to the garage roof slab underneath, replacement of the slab waterproofing system, and construction of a modernized ADA accessible plaza. Phase one included renovation and extension of the Sister Cities Pedestrian Bridge.  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class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014004&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>28.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>34.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>15.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>15.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>21.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>26.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>38.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003101&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>26.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>2.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014504&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>29.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>17.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>38.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>31.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>41.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010601&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>20.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>1.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014102&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>12.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>14.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>35.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>9.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>19.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>NA&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>8.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008801&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>20.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014104&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>8.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>1.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>24.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>29.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003807&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>24.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>10.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>36.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055014602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055000200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>17.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>22.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010602&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>13.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055011000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>15.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>8.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>12.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>3.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002300&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>22.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003900&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>47.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055980100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>38.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>20.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>9.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055002400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>28.0%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055005100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>43.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009404&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>7.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006400&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>5.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007802&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.3%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>12.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013901&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008301&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>31.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>2.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004702&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>33.2%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055004701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>44.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008500&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>14.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055008000&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>46.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009403&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>18.4%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055007100&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>1.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013005&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055012600&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>4.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055003806&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>13.9%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>56.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055001800&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>16.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055006700&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>21.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013701&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.5%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010902&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>14.8%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009402&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>6.6%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055009302&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>11.1%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055013401&emsp;<\/td><\/tr><tr><td><\/td><th>Percent Hispanic/Latino&emsp;<\/th><td>9.7%&emsp;<\/td><\/tr><\/table><\/div>","<div class='scrollableContainer'><table class= id='popup'><tr><td><\/td><th>Census Tract&emsp;<\/th><td>36055010200&emsp;<\/td><\/tr><tr><td><\/td><th>Percent 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This is critical to the success of Rochester Amerks hockey team and the Arena’s contribution to the City’s economic vitality and quality of life. The existing, 20-year-old plant is at the end of its service life.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Broad and Allen Firehouse Priority Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.16M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Charles Carroll Plaza\r\nPhase II<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.50M<br><span style='color: grey;'>Description: <\/span>Phase two includes the removal of the plaza to perform structural repairs to the garage roof slab underneath, replacement of the slab waterproofing system, and construction of a modernized ADA accessible plaza. Phase one included renovation and extension of the Sister Cities Pedestrian Bridge.  The bridge and plaza will remain closed until completion of phase two.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Durand Eastman Park - Site Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.70M<br><span style='color: grey;'>Description: <\/span>Enhance Durand Eastman Park through the addition of accessible public pathways and numerous site improvements including lighting,  a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Erie Harbor Enhancements Phase 2 (Genesee Gateway Park)<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$1.00M<br><span style='color: grey;'>Description: <\/span>Rehabilitate Genesee Gateway Park and the Genesee Riverway Trail within the park to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized, hand-carried watercraft.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Genesee Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.34M<br><span style='color: grey;'>Description: <\/span>Funding will be used for HVAC upgrades and window replacements at the firehouse.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Goodman Firehouse Renovations<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$4.00M<br><span style='color: grey;'>Description: <\/span>Major renovation and alterations of firehouse facility. Small addition to accommodate additional square footage needed for turnout gear room. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and upgrades throughout.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Humboldt Spray Park Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.65M<br><span style='color: grey;'>Description: <\/span>The spray park is reaching the end of its service life and aging infrastructure does not function properly requiring frequent repairs. The project will update mechanical, electrical, plumbing, control and surfacing systems.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Joseph A. 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The expanded space will enable RRCC patrons to participate in convention center events and enjoy the spectacular views of the majestic Genesee River simultaneously.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Community Library Expansion<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.35M<br><span style='color: grey;'>Description: <\/span>Expand the Maplewood Branch Library facility on the Dewey Avenue corridor to provide critical services for community members, many of whom are New Americans.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Maplewood Nature Center<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$5.52M<br><span style='color: grey;'>Description: <\/span>The Nature Center will serve as Rochester’s hub for specialized environmental education and expeditionary experiences along the Genesee River, including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Minister Franklin D. Florence Civil Rights Park<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.50M<br><span style='color: grey;'>Description: <\/span>Enhance the existing Baden Park through the addition of a Rochester Civil Rights Heritage Site in the 14605 neighborhood.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>Parking Garage Improvements<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$2.00M<br><span style='color: grey;'>Description: <\/span>Repairs and supplemental structural support within the South Avenue and Stone Street wings of the South Avenue Garage for preserving the safety, structural integrity and service life of the garage.<\/div>","<div style='width: 300px; word-wrap: break-word;'><strong>RPD Office of Business Intelligence Renovation<\/strong><br><span style='color: grey;'>ARPA Funding: <\/span>$0.68M<br><span style='color: grey;'>Description: <\/span>Expand the capacity of the RPD Office of Business Intelligence at the Public Safety Building to develop necessary business processes, manage data workflow, create analytical products and upgrade Open Data Portal. 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@@ -12223,20 +12223,20 @@
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Funds may cover replacement of roofs, skylights, roof drains, gutters and roofign masonry structure/decking, and parapet reconstruction for income eligible homeowners.","Wraparound services  and neighborhood outreach via collaboration between well-known community organizations in the crescent.","The funds provided will assist residentail property owners in replacing lead service lines in an effort to reduce the amount of lead in drinking water.","This ROC the Riverway project encompassing a building addition and modernazation to the southwest face of the RRCC to create a new and revitalized event space that directly engages with the downtown riverfront. The expanded space will enable patrons to participate in Convention Center events and enjoy the spectacular views of the majestic Genesee River simultaneously. The project will also include, but is not limited to, building facade repairs and strategic river wall repairs.","A collaborative 'Hive' program geared toward BIPOC youth that offers year-round workforce programming, wraparound services and career placement pathways.","Establish and administer a revolving loan fund, primarily microloans up to $50,000*, to provide access to capital and technical assistance not otherwise available to small and start-up businesses","Provision of rehab grants to income-eligible, owner-occupants. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","The Nature Center will serve as Rochester's hub for specialized environmental education and expeditionary experiences along the Genesee River including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.","The Maplewood Community Library was constructed in 1959. This project will include a renovation of the existing library, an expansion of the west side of the facility including new program space, and additional parking on site.","Finger Lakes Performing Provider System (FLPPS) will serve 200 “difficult to place”\r\npatients over a twelve-month period with their Complex Care Program. The targets for this program are patients who are ready for discharge and awaiting nursing home placement, but generally face barriers to discharge. Many of these patients are considered low-income or medically complex.","The Rochester Peace Collective will provide funding to community-based organizations to work collaboratively and in close alignment with the City to prevent violence.","Wraparound health services for underrepresented and minority communities (LGBTQ+, BIPOC, homeless) including a Mobile Access Clinic, Syringe Exchange Program and a Food Cupboard.","A one-stop-shop for previously incarcerated residents.","Approaches violence with the understanding that violence is an epidemic process that can be stopped using the same evidence-based, public health strategies employed to fight epidemics such as COVID-19, AIDS and Tuberculosis","Renovation of facilities at Baden Street to add a Mental Health clinic specializing in BIPOC communities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Creation of one stop location for healthy birthing services supporting underserved communities.","Funding will be used to invest in city-based businesses to expand healthy food access, attract new  healthy food retail businesses to target areas, and implement innovative, alternative food retail models.","Health & Wellness Program creates a long-term framework that supports and recognizes the critical linkages between community wellness, mental health, and public safety.","A wraparound program supporting underrepresented communities in distressed zip codes focused on training for skilled trades workers including Mold Abatement Workers, Asbestos Handlers, and Lead Abatement Workers.  Also offers certifications in OSHA 10.","Replacement of outdated network infrastructure and technology that support core City functions.","Creation of a Multi-Disciplinary Justice Center and enhancement of wraparound services for domestic violence survivors.  The need for these kinds of services has increased due to the COVID-19 pandemic.","The Blue Cross Arena at the War Memorial was constructed in the 1950's and is the home to the Rochester Americans AHL hockey team and hosts many other sports and public events throughout the year. This project includes design and intallation of a modern replacement ice chiller plant, which creates and maintains the ice sheet, utilizing an allowable refrigerant type.","Services for youth (aged 10-20) at risk of gun violence including housing, transition advocacy services and a Justice Peer Program with adult mentors who have experience in the juvenile legal system.","Eliminating barriers to healthcare for underrepresented communities:  infrastructure improvements and comprehensive training for health care professionals. Proposal includes a new van to provide access and services directly to residents in neighborhoods with the most need.","Expansion of the RPD Office of Business Intelligence staffing to develop necessary business processes, manage data workflow, create analytical products and upgrade the existing Open Data Portal.","Rochester Land Bank initiatve focused on the creation home-ownership for low-moderate income residents. The program focuses on medium to large scale development parnters acquiring and rehabbing homes in challenged neighborhoods and/or targeted neighborhoods where other development is taking place.","Doula program to prevent black maternal and infant mortality as well as a 15-week mentoring and educational course for fathers (with a focus on previously incarcerated individuals).","A pilot Guaranteed Basic Income program in the form of a monthly stipend for 175 income-eligible residents per year over the course of two years.","Continued provision of free, healthy meals to senior citizens while supporting small business restaurants disproportionately impacted by the pandemic.","The Targeted Mixed-Use Rehabilitation Grant Program will provide financial assistance to eligible property owners who own a mixed-use property in identified targeted areas. Eligible uses for the program will included renovations to the residential units to address lead-based paint hazards, health and safety hazards, plumbing and electrical repairs, code violations and other improvements to meet certificate of occupancy standards.","A wraparound service and workforce development program to help individuals with disabilities.","This funding will be used to address utility relocations and other critical foundational activities to advance the full vision of creating riverfront connectivity on the downtown waterfront by establishing an iconic public space and extending the Genesse Riverway Trail through downtown Rochester.","Deaf Refugee Advocacy Community Connections will provide ASL and English workshops, soft skills education, financial literacy courses, independent living skills programs, technical competencies coaching and workforce development training.","Repairs and supplemental structural support within the South Avenue and Stone Street Wings of the South Avenue Garage.","Youth and families within the city of Rochester have been struggling with how to navigate the many thoughts and feelings that accompany the trauma associated with the COVID pandemic, from the increase in violence, to the isolation experienced during key developmental years. The City will utilize ARPA funding to partner with one or multiple agencies to provide professional social-emotional, health and wellness supports and programming to the youth and families that attend R-Centers.","Pavement reconstruction and water infrastructure improvements that will enhance traffic safety and efficiency and improve the riding quality of the roadway, accessibility, and streetscape.","Renovation of transitional housing complex for homeless and low-income male veterans.","ARPA funding will be used to procure and implement an enterprise Accounts Receivable and Utility Billing software solution. The new solution will include enhanced workflow and processing capabilities to improve the efficiency of operations, as well as offering enhanced online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","The funds will be used to support the City's demolition program that removes vacant, derelict, and fire-damaged structures that are a public safety hazard or blight ot the surrounding neighborhoods.","The Peacemaker Fellowship is a transformative mentoring program that enrolls the highest risk individuals in a personalized and structured cohort for an 18-month period. The model has been effective in bridging the gap between anti-violence programming such as outreach and breaking the cycle for the hard to reach populations at the center of violence in urban areas.","Enhance Durand Eastman Park through the addition of acessible public pathways and numerous site improvements including lighting, a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.","The creation of Neighborhood Centers at Lewis Street, Thurston Road, and inside the Maplewood Family Branch.","Redesign and reconstruction of this scenic park located in downtown Rochester spanning the Genesee River just south of High Falls, close to Main Street. This is a project supported by the ROC the Riverway initiative.","These funds will also be used to expand permitting, licensing, and inspection processes for the City's Department of Environmnetal Services, the Rochester Fire Department, and the Department of Neighborhood and Business Development. The new solution will replace several outdated legacy soluations and will promote the quality and utilization of assets throughout their lifecycle, increase productive uptime, and reduce operational costs for all departments involved. The new solution will also offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","Using their delivery truck model and relationships with organizations who work with low-income families, Foodlink will enhance their operations and address existing gaps in traditional Federal Nutrition Programs (FNPs) to serve more quality, nutritious meals to multi-generational families throughout Monroe County.","Program that will provide no cost loans or grants to those at or below 200% of the Federal poverty line no cost loans or grants who need transportation to start or keep employment. Support services such as employment coach/mentor and financial literacy.","A mobile welding lab that offers training programs to at-risk youth (18-24), inmates and offenders on probation that have significant barriers to employment.","A hydroponic farm that will provide healthy food to vulnerable communities (homeless, veterans, children etc.) as well as job training and educational opportunities for Monroe County residents.","A program that focuses on giving underrepresented communities the tools, training and support they need to succeed in the skilled trades.","Collaborative project with RCSD that would create 8 school-based mental health clinics and establish telehealth infrastructure.","Park renovations to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized hand carried watercraft. This is a project supported by the ROC the Riverway initiative.","Provision of financial assistance to income-eligible, owner-occupant seniors. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","Partnership with The City of Rochester to expand the City’s existing land bank to incorporate the twenty nine suburban towns and villages within Monroe County. creation/ enhancement of a website, legal expenses, planning studies and acquisition and/or demolition of property.","The funds will be used to implement a replacement to the City's current software for the Parking Enforcement and Municipal Code Violations Bureau. The new solution will offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests as well as include improved workflow and processing capabilities for internal staff to enhance the efficiency of operations and quality of data.","Grants for low-income homeowners to receive energy-efficient home improvement.","Wraparound services and support for seniors to enhance access to healthcare: LPNs will coordinate transportation and attend medical appointments with older adults, facilitate telehealth, arrange pharmacy delivery and schedule preventative health care screens and vaccinations.","Funds will be used to support predevelopment activities related to the ongoing Bull's Head revitalization project, located on the western part of the city surrounding the intersection of West Main Street, West Avenue, Brown and Genesee Streets.","Procure a subject matter expert (SME) on recruitment and retainment of a diverse workforce within the Department of Public Safety","Creation of a Mentoring Center and enhancement of BBBS program to serve more youth with wraparound services.","The existing spray park, installed in 2001, was the City's first spray park. The spray park is reaching the end of its service life and this project will update the mechanical, electrical, plumbing, control, and surfacing systems.","Grant assistance program for small existing and start-up commercial and manufacturing businesses with expansion and/or business retention projects.","A mobile boutique and career center that would offer workforce training and career attire for underserved women.","The Park Square II project includes the preservation and rehabilitation of 200 existing affordable rental units located in Midtown Manor, now known as the Tower at Park Square, and the new construction of 40 affordable rental units on the property to replace those demolished as part of Park Square (Southest Towers) Phase 1.","Provision of career exploration, employment skills training, and support services for entry-level healthcare workers.","Located in Baden Park, this impactful community project will creat an outdoor learning environment that will present historical narratives of Rochester's Black Feedom Struggle, emphasizing the rich history of civil rights and civic engagement.","Bring together neighborhood teens with beat officers who patrol their streets.  Over the course of 7 sessions-- including a graduation ceremony and one follow-up on line reunion—youth participants and local police officers engage in discussions, games, and role plays to build their public speaking and facilitation skills, get to know each other on a personal level, and learn from each other.","The City will partner with an outside consultant to monitor, evaluate, and measure the results of programs funded with ARPA dollars, including those projects involving subrecipient agencies","Helps vulnerable Monroe County residents with financial counseling to secure affordable auto loans and find reliable transportation with local lending partners.","Security measures to fortify the church (lighting, security film for windows, safe rooms etc.) as well as active shooter training.","Family Reunification Centers provide a venue for authorities to provide information to victims, coordinate access to support services, and facilitate the collection of information from families about the victims that can be used for victim identification. A Crisis Assistance Center provides a central location which is designed to ensure effective communication between agencies responsible for the provision of family assistance services; ensure efficient delivery of family assistance services by assessing needs, identifying gaps, avoiding duplication of services; and coordinating/managing requests for services","Firehouses are on average 70 years old. Funds will be used for repairs at various firehouses including but not limited to, site paving at multiple firehouses to maintain and improve truck access to the apparatus bays.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","The Rochester firehouses are on average 70 years old, with the majority built between 1950 and 1965. Funds will be used to make capital improvements to accomodat the RFD response model and workforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Expansion of the capacity of this existing, successful program. Additional participants will gain manufacturing skills and complete required occupational health and safety trainings while networking with local employers to begin a successful career in the trades.","Firehouses are on average 70 years old. Funds will be used to make capital improvements to accommodate the response model an dworkforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Upgrade access to language services: the department will work with local educational institutions like RIT and MCC to get over 200 people (community members and employees) certified, trained and developed to deliver language access services in their respective departments or community organizations. This program also proposes to purchase equipment and tools for interpretation services that can be borrowed by MC Departments and approved community organizations; Increase opportunity for MWBEs to kick start their growth while increasing the strength of entrepreneurship in Monroe County for women and people of color.  The program will fund justified equipment, material, or personnel costs to help MWBEs start-up or expand their business over a 12-month period. The program proposes to fund 40-60 (10-15 per year) businesses over 4 years.","External consulting expertise and administrative support for ARPA compliance, reporting and project management.","The Broad and Allen Firehouse Renovation Project will renovate the existing kitchen and exhaust hood with a code compliant exhaust hood and fire suppression system.","Incentivize COVID vaccination and booster shots for the City's workforce to protect the health of employees' families, friends, and neighbors as well as city residents who visit City Hall and other City workplaces.","Establishment of a new downtown tour boat, docked at Corn Hill Landing, is an important ROC the Riverway initiative and is anticipated to be a major tourist attraction for our community. In addition, CHN will establish its new ticket and office operation at Corn Hill Landing.","The funds will be used to implement new network security hardware and licenses, enhance the City's cybersecurity operations center, procure outside assessment of the cybersecurity program and practices, increase security training, and expand and improve external vulnerability scanning.","Administration of the City's Kiva program to increase the volume of low-interest loans to Rochester entrpreneurs.","Provision of employment skills training and stipends for youth.","Expansion of vending and multi-use event spaces and provide new business development support services.","Several ARPA-funded projects included funding for staffing necessary to implement the program or service. These expenses are included within a project's \"total appropriation,\" however it is the City's practice to account for the employee wages within the implementing department and the employee fringe benefit expenses within the Department of Undistributed Expenses."],"agency":["Environmental Services","Recreation and Human Services","Neighborhood and Business Development","Finance","Varies","FLPPS","Environmental Services","Neighborhood and Business Development","Community Resource Collaborative on Behalf of the Neighborhood Collaborative Project","Neighborhood and Business Development","Environmental Services","EnCompass: Resources for Learning","Monroe County Department of Planning","Neighborhood and Business Development","Environmental Services","Environmental Services / Library","FLPPS\r","Administration","Trillium Health","Reentry Association of WNY, Inc.","Monroe County Public Health","Baden Street Settlement of Rochester, Inc","Environmental Services","Environmental Services","Monroe County Public Health/ DHS","Neighborhood and Business Development","Monroe County Sheriff","Urban League of Rochester, NY, Inc.","Information Technology","Willow Domestic Violence Center of Greater Rochester, Inc.","Environmental Services","Center for Community Alternatives","St. Joseph’s Neighborhood Center","Police","Neighborhood and Business Development","Healthy Baby Network","Administration","Neighborhood and Business Development","Neighborhood and Business Development","Mary Cariola Center","Environmental Services","Deaf Refugee Advocacy","Environmental Services","Recreation and Human Services","Environmental Services","Veterans Outreach Center, Inc.","Administration","Neighborhood and Business Development","Recreation and Human Services","Environmental Services","YMCA of Greater Rochester","Environmental Services","Administration","Foodlink, Inc.","Monroe County DHS","The Research Foundation for SUNY Brockport","Volunteers of America of Western New York, Inc.","Multicraft Apprenticeship Preparation Program, Inc.","Department of Pediatrics UR Medicine and Rochester Regional Health","Environmental Services","Neighborhood and Business Development","Monroe County Department of Planning","Administration","Rochester Energy Efficiency & Weatherization (RENEW)","Lifespan of Greater Rochester","Neighborhood and Business Development","Monroe County Public Safety","Big Brothers Big Sisters of Greater Rochester NY","Environmental Services","Neighborhood and Business Development","Dress for Success Rochester","Neighborhood and Business Development","Recreation and Human Services","Environmental Services","Monroe County Public Safety","Administration","Consumer Credit Counseling Service of Rochester","Mt. Olivet Baptist Church","Monroe County Public Safety","Environmental Services","Environmental Services","Environmental Services","Undistributed Expenses","Environmental Services","Monroe County DEI","Administration","Environmental Services","Human Resource Management","Neighborhood and Business Development","Information Technology","Administration","Recreation and Human Services","Recreation and Human Services","Undistributed Expenses"]},"columns":[{"id":"program","name":"Program","type":"character","style":"function(rowInfo, colInfo) {\nconst rowIndex = rowInfo.index + 1\nif (colInfo.id === 'program' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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=== 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { 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=== 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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 return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 24) {\n  return { fontSize: 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=== 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'policy_area' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' 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(colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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(colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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(colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' 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10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 21) {\n  return { fontSize: '80%', 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  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21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: 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=== 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & 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=== 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' 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whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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=== 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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}\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 23) 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'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 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'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { 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{ fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 52) {\n  return { fontSize: '80%', 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 26) {\n  return { fontSize: '80%', 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\n}","cell":["Replacement of a portion of the city's lead, lead-lined and galvanized water services to remove any possible sources of lead contamination and complete associated street work.","Funding will be utilized to provide transformative workforce development experiences for adults and youth. Adult services include paid job training in multiple fields, job placement services, financial literacy, academic services, entrepreneurship and small business services, workforce readiness workshops, and job fairs. Youth services include the creation of additional youth internships that focus on public service, entrepreneurship, personal growth and enrichment; financial literacy training and access to simple banking opportunities. A portion of the funding will also be used to purchase a vehicle for mobile outreach efforts.","New construction of homes for income-eligible, first-time homeowners on vacant lots in Rochester's fomer 'redlined' neighborhoods.","Replacement of lost government revenues due to the pandemic. Funds will be utilized to support continuation of government services.","Replacement of lost government revenues due to the pandemic. Funds will be utilized to support continuation of government services.","A workforce development program that would pay SNFs and HHCAs for the successful recruitment and training of certified nursing assistants (CNAs), home health aides (HHAs), licensed practical nurses (LPNs), and registered nurses (RNs), which will expand service capacity within the SNFs and HHCAs.  Monroe County (MC) SNFs and HHCAs would receive $11,500 per CNA/HHA employed and trained.","Repair, restoration and reconstruction of exterior parapets, limestone and brick masonry, historic windows, and structural framing systems for the east, south and north facades, and repairs to the adjacent east terrace.","Expansion of the City's high demand roofing assistance program. Funds may cover replacement of roofs, skylights, roof drains, gutters and roofign masonry structure/decking, and parapet reconstruction for income eligible homeowners.","Wraparound services  and neighborhood outreach via collaboration between well-known community organizations in the crescent.","The funds provided will assist residentail property owners in replacing lead service lines in an effort to reduce the amount of lead in drinking water.","This ROC the Riverway project encompassing a building addition and modernazation to the southwest face of the RRCC to create a new and revitalized event space that directly engages with the downtown riverfront. The expanded space will enable patrons to participate in Convention Center events and enjoy the spectacular views of the majestic Genesee River simultaneously. The project will also include, but is not limited to, building facade repairs and strategic river wall repairs.","A collaborative 'Hive' program geared toward BIPOC youth that offers year-round workforce programming, wraparound services and career placement pathways.","Establish and administer a revolving loan fund, primarily microloans up to $50,000*, to provide access to capital and technical assistance not otherwise available to small and start-up businesses","Provision of rehab grants to income-eligible, owner-occupants. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","The Nature Center will serve as Rochester's hub for specialized environmental education and expeditionary experiences along the Genesee River including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.","The Maplewood Community Library was constructed in 1959. This project will include a renovation of the existing library, an expansion of the west side of the facility including new program space, and additional parking on site.","Finger Lakes Performing Provider System (FLPPS) will serve 200 “difficult to place”\r\npatients over a twelve-month period with their Complex Care Program. The targets for this program are patients who are ready for discharge and awaiting nursing home placement, but generally face barriers to discharge. Many of these patients are considered low-income or medically complex.","The Rochester Peace Collective will provide funding to community-based organizations to work collaboratively and in close alignment with the City to prevent violence.","Wraparound health services for underrepresented and minority communities (LGBTQ+, BIPOC, homeless) including a Mobile Access Clinic, Syringe Exchange Program and a Food Cupboard.","A one-stop-shop for previously incarcerated residents.","Approaches violence with the understanding that violence is an epidemic process that can be stopped using the same evidence-based, public health strategies employed to fight epidemics such as COVID-19, AIDS and Tuberculosis","Renovation of facilities at Baden Street to add a Mental Health clinic specializing in BIPOC communities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Creation of one stop location for healthy birthing services supporting underserved communities.","Funding will be used to invest in city-based businesses to expand healthy food access, attract new  healthy food retail businesses to target areas, and implement innovative, alternative food retail models.","Health &amp; Wellness Program creates a long-term framework that supports and recognizes the critical linkages between community wellness, mental health, and public safety.","A wraparound program supporting underrepresented communities in distressed zip codes focused on training for skilled trades workers including Mold Abatement Workers, Asbestos Handlers, and Lead Abatement Workers.  Also offers certifications in OSHA 10.","Replacement of outdated network infrastructure and technology that support core City functions.","Creation of a Multi-Disciplinary Justice Center and enhancement of wraparound services for domestic violence survivors.  The need for these kinds of services has increased due to the COVID-19 pandemic.","The Blue Cross Arena at the War Memorial was constructed in the 1950's and is the home to the Rochester Americans AHL hockey team and hosts many other sports and public events throughout the year. This project includes design and intallation of a modern replacement ice chiller plant, which creates and maintains the ice sheet, utilizing an allowable refrigerant type.","Services for youth (aged 10-20) at risk of gun violence including housing, transition advocacy services and a Justice Peer Program with adult mentors who have experience in the juvenile legal system.","Eliminating barriers to healthcare for underrepresented communities:  infrastructure improvements and comprehensive training for health care professionals. Proposal includes a new van to provide access and services directly to residents in neighborhoods with the most need.","Expansion of the RPD Office of Business Intelligence staffing to develop necessary business processes, manage data workflow, create analytical products and upgrade the existing Open Data Portal.","Rochester Land Bank initiatve focused on the creation home-ownership for low-moderate income residents. The program focuses on medium to large scale development parnters acquiring and rehabbing homes in challenged neighborhoods and/or targeted neighborhoods where other development is taking place.","Doula program to prevent black maternal and infant mortality as well as a 15-week mentoring and educational course for fathers (with a focus on previously incarcerated individuals).","A pilot Guaranteed Basic Income program in the form of a monthly stipend for 175 income-eligible residents per year over the course of two years.","Continued provision of free, healthy meals to senior citizens while supporting small business restaurants disproportionately impacted by the pandemic.","The Targeted Mixed-Use Rehabilitation Grant Program will provide financial assistance to eligible property owners who own a mixed-use property in identified targeted areas. Eligible uses for the program will included renovations to the residential units to address lead-based paint hazards, health and safety hazards, plumbing and electrical repairs, code violations and other improvements to meet certificate of occupancy standards.","A wraparound service and workforce development program to help individuals with disabilities.","This funding will be used to address utility relocations and other critical foundational activities to advance the full vision of creating riverfront connectivity on the downtown waterfront by establishing an iconic public space and extending the Genesse Riverway Trail through downtown Rochester.","Deaf Refugee Advocacy Community Connections will provide ASL and English workshops, soft skills education, financial literacy courses, independent living skills programs, technical competencies coaching and workforce development training.","Repairs and supplemental structural support within the South Avenue and Stone Street Wings of the South Avenue Garage.","Youth and families within the city of Rochester have been struggling with how to navigate the many thoughts and feelings that accompany the trauma associated with the COVID pandemic, from the increase in violence, to the isolation experienced during key developmental years. The City will utilize ARPA funding to partner with one or multiple agencies to provide professional social-emotional, health and wellness supports and programming to the youth and families that attend R-Centers.","Pavement reconstruction and water infrastructure improvements that will enhance traffic safety and efficiency and improve the riding quality of the roadway, accessibility, and streetscape.","Renovation of transitional housing complex for homeless and low-income male veterans.","ARPA funding will be used to procure and implement an enterprise Accounts Receivable and Utility Billing software solution. The new solution will include enhanced workflow and processing capabilities to improve the efficiency of operations, as well as offering enhanced online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","The funds will be used to support the City's demolition program that removes vacant, derelict, and fire-damaged structures that are a public safety hazard or blight ot the surrounding neighborhoods.","The Peacemaker Fellowship is a transformative mentoring program that enrolls the highest risk individuals in a personalized and structured cohort for an 18-month period. The model has been effective in bridging the gap between anti-violence programming such as outreach and breaking the cycle for the hard to reach populations at the center of violence in urban areas.","Enhance Durand Eastman Park through the addition of acessible public pathways and numerous site improvements including lighting, a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.","The creation of Neighborhood Centers at Lewis Street, Thurston Road, and inside the Maplewood Family Branch.","Redesign and reconstruction of this scenic park located in downtown Rochester spanning the Genesee River just south of High Falls, close to Main Street. This is a project supported by the ROC the Riverway initiative.","These funds will also be used to expand permitting, licensing, and inspection processes for the City's Department of Environmnetal Services, the Rochester Fire Department, and the Department of Neighborhood and Business Development. The new solution will replace several outdated legacy soluations and will promote the quality and utilization of assets throughout their lifecycle, increase productive uptime, and reduce operational costs for all departments involved. The new solution will also offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","Using their delivery truck model and relationships with organizations who work with low-income families, Foodlink will enhance their operations and address existing gaps in traditional Federal Nutrition Programs (FNPs) to serve more quality, nutritious meals to multi-generational families throughout Monroe County.","Program that will provide no cost loans or grants to those at or below 200% of the Federal poverty line no cost loans or grants who need transportation to start or keep employment. Support services such as employment coach/mentor and financial literacy.","A mobile welding lab that offers training programs to at-risk youth (18-24), inmates and offenders on probation that have significant barriers to employment.","A hydroponic farm that will provide healthy food to vulnerable communities (homeless, veterans, children etc.) as well as job training and educational opportunities for Monroe County residents.","A program that focuses on giving underrepresented communities the tools, training and support they need to succeed in the skilled trades.","Collaborative project with RCSD that would create 8 school-based mental health clinics and establish telehealth infrastructure.","Park renovations to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized hand carried watercraft. This is a project supported by the ROC the Riverway initiative.","Provision of financial assistance to income-eligible, owner-occupant seniors. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","Partnership with The City of Rochester to expand the City’s existing land bank to incorporate the twenty nine suburban towns and villages within Monroe County. creation/ enhancement of a website, legal expenses, planning studies and acquisition and/or demolition of property.","The funds will be used to implement a replacement to the City's current software for the Parking Enforcement and Municipal Code Violations Bureau. The new solution will offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests as well as include improved workflow and processing capabilities for internal staff to enhance the efficiency of operations and quality of data.","Grants for low-income homeowners to receive energy-efficient home improvement.","Wraparound services and support for seniors to enhance access to healthcare: LPNs will coordinate transportation and attend medical appointments with older adults, facilitate telehealth, arrange pharmacy delivery and schedule preventative health care screens and vaccinations.","Funds will be used to support predevelopment activities related to the ongoing Bull's Head revitalization project, located on the western part of the city surrounding the intersection of West Main Street, West Avenue, Brown and Genesee Streets.","Procure a subject matter expert (SME) on recruitment and retainment of a diverse workforce within the Department of Public Safety","Creation of a Mentoring Center and enhancement of BBBS program to serve more youth with wraparound services.","The existing spray park, installed in 2001, was the City's first spray park. The spray park is reaching the end of its service life and this project will update the mechanical, electrical, plumbing, control, and surfacing systems.","Grant assistance program for small existing and start-up commercial and manufacturing businesses with expansion and/or business retention projects.","A mobile boutique and career center that would offer workforce training and career attire for underserved women.","The Park Square II project includes the preservation and rehabilitation of 200 existing affordable rental units located in Midtown Manor, now known as the Tower at Park Square, and the new construction of 40 affordable rental units on the property to replace those demolished as part of Park Square (Southest Towers) Phase 1.","Provision of career exploration, employment skills training, and support services for entry-level healthcare workers.","Located in Baden Park, this impactful community project will creat an outdoor learning environment that will present historical narratives of Rochester's Black Feedom Struggle, emphasizing the rich history of civil rights and civic engagement.","Bring together neighborhood teens with beat officers who patrol their streets.  Over the course of 7 sessions-- including a graduation ceremony and one follow-up on line reunion—youth participants and local police officers engage in discussions, games, and role plays to build their public speaking and facilitation skills, get to know each other on a personal level, and learn from each other.","The City will partner with an outside consultant to monitor, evaluate, and measure the results of programs funded with ARPA dollars, including those projects involving subrecipient agencies","Helps vulnerable Monroe County residents with financial counseling to secure affordable auto loans and find reliable transportation with local lending partners.","Security measures to fortify the church (lighting, security film for windows, safe rooms etc.) as well as active shooter training.","Family Reunification Centers provide a venue for authorities to provide information to victims, coordinate access to support services, and facilitate the collection of information from families about the victims that can be used for victim identification. A Crisis Assistance Center provides a central location which is designed to ensure effective communication between agencies responsible for the provision of family assistance services; ensure efficient delivery of family assistance services by assessing needs, identifying gaps, avoiding duplication of services; and coordinating/managing requests for services","Firehouses are on average 70 years old. Funds will be used for repairs at various firehouses including but not limited to, site paving at multiple firehouses to maintain and improve truck access to the apparatus bays.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","The Rochester firehouses are on average 70 years old, with the majority built between 1950 and 1965. Funds will be used to make capital improvements to accomodat the RFD response model and workforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Expansion of the capacity of this existing, successful program. Additional participants will gain manufacturing skills and complete required occupational health and safety trainings while networking with local employers to begin a successful career in the trades.","Firehouses are on average 70 years old. Funds will be used to make capital improvements to accommodate the response model an dworkforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Upgrade access to language services: the department will work with local educational institutions like RIT and MCC to get over 200 people (community members and employees) certified, trained and developed to deliver language access services in their respective departments or community organizations. This program also proposes to purchase equipment and tools for interpretation services that can be borrowed by MC Departments and approved community organizations; Increase opportunity for MWBEs to kick start their growth while increasing the strength of entrepreneurship in Monroe County for women and people of color.  The program will fund justified equipment, material, or personnel costs to help MWBEs start-up or expand their business over a 12-month period. The program proposes to fund 40-60 (10-15 per year) businesses over 4 years.","External consulting expertise and administrative support for ARPA compliance, reporting and project management.","The Broad and Allen Firehouse Renovation Project will renovate the existing kitchen and exhaust hood with a code compliant exhaust hood and fire suppression system.","Incentivize COVID vaccination and booster shots for the City's workforce to protect the health of employees' families, friends, and neighbors as well as city residents who visit City Hall and other City workplaces.","Establishment of a new downtown tour boat, docked at Corn Hill Landing, is an important ROC the Riverway initiative and is anticipated to be a major tourist attraction for our community. In addition, CHN will establish its new ticket and office operation at Corn Hill Landing.","The funds will be used to implement new network security hardware and licenses, enhance the City's cybersecurity operations center, procure outside assessment of the cybersecurity program and practices, increase security training, and expand and improve external vulnerability scanning.","Administration of the City's Kiva program to increase the volume of low-interest loans to Rochester entrpreneurs.","Provision of employment skills training and stipends for youth.","Expansion of vending and multi-use event spaces and provide new business development support services.","Several ARPA-funded projects included funding for staffing necessary to implement the program or service. These expenses are included within a project's \"total appropriation,\" however it is the City's practice to account for the employee wages within the implementing department and the employee fringe benefit expenses within the Department of Undistributed Expenses."],"html":true,"width":700,"align":"left","headerStyle":{"font-weight":"normal"}},{"id":"agency","name":"Agency","type":"character","style":"function(rowInfo, colInfo) {\nconst rowIndex = rowInfo.index + 1\nif (colInfo.id === 'program' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  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21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: 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Funds will be utilized to support continuation of government services.","A workforce development program that would pay SNFs and HHCAs for the successful recruitment and training of certified nursing assistants (CNAs), home health aides (HHAs), licensed practical nurses (LPNs), and registered nurses (RNs), which will expand service capacity within the SNFs and HHCAs.  Monroe County (MC) SNFs and HHCAs would receive $11,500 per CNA/HHA employed and trained.","Repair, restoration and reconstruction of exterior parapets, limestone and brick masonry, historic windows, and structural framing systems for the east, south and north facades, and repairs to the adjacent east terrace.","Expansion of the City's high demand roofing assistance program. Funds may cover replacement of roofs, skylights, roof drains, gutters and roofign masonry structure/decking, and parapet reconstruction for income eligible homeowners.","Wraparound services  and neighborhood outreach via collaboration between well-known community organizations in the crescent.","The funds provided will assist residentail property owners in replacing lead service lines in an effort to reduce the amount of lead in drinking water.","This ROC the Riverway project encompassing a building addition and modernazation to the southwest face of the RRCC to create a new and revitalized event space that directly engages with the downtown riverfront. The expanded space will enable patrons to participate in Convention Center events and enjoy the spectacular views of the majestic Genesee River simultaneously. The project will also include, but is not limited to, building facade repairs and strategic river wall repairs.","A collaborative 'Hive' program geared toward BIPOC youth that offers year-round workforce programming, wraparound services and career placement pathways.","Establish and administer a revolving loan fund, primarily microloans up to $50,000*, to provide access to capital and technical assistance not otherwise available to small and start-up businesses","Provision of rehab grants to income-eligible, owner-occupants. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","The Nature Center will serve as Rochester's hub for specialized environmental education and expeditionary experiences along the Genesee River including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.","The Maplewood Community Library was constructed in 1959. This project will include a renovation of the existing library, an expansion of the west side of the facility including new program space, and additional parking on site.","Finger Lakes Performing Provider System (FLPPS) will serve 200 “difficult to place”\r\npatients over a twelve-month period with their Complex Care Program. The targets for this program are patients who are ready for discharge and awaiting nursing home placement, but generally face barriers to discharge. Many of these patients are considered low-income or medically complex.","The Rochester Peace Collective will provide funding to community-based organizations to work collaboratively and in close alignment with the City to prevent violence.","Wraparound health services for underrepresented and minority communities (LGBTQ+, BIPOC, homeless) including a Mobile Access Clinic, Syringe Exchange Program and a Food Cupboard.","A one-stop-shop for previously incarcerated residents.","Approaches violence with the understanding that violence is an epidemic process that can be stopped using the same evidence-based, public health strategies employed to fight epidemics such as COVID-19, AIDS and Tuberculosis","Renovation of facilities at Baden Street to add a Mental Health clinic specializing in BIPOC communities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Creation of one stop location for healthy birthing services supporting underserved communities.","Funding will be used to invest in city-based businesses to expand healthy food access, attract new  healthy food retail businesses to target areas, and implement innovative, alternative food retail models.","Health & Wellness Program creates a long-term framework that supports and recognizes the critical linkages between community wellness, mental health, and public safety.","A wraparound program supporting underrepresented communities in distressed zip codes focused on training for skilled trades workers including Mold Abatement Workers, Asbestos Handlers, and Lead Abatement Workers.  Also offers certifications in OSHA 10.","Replacement of outdated network infrastructure and technology that support core City functions.","Creation of a Multi-Disciplinary Justice Center and enhancement of wraparound services for domestic violence survivors.  The need for these kinds of services has increased due to the COVID-19 pandemic.","The Blue Cross Arena at the War Memorial was constructed in the 1950's and is the home to the Rochester Americans AHL hockey team and hosts many other sports and public events throughout the year. This project includes design and intallation of a modern replacement ice chiller plant, which creates and maintains the ice sheet, utilizing an allowable refrigerant type.","Services for youth (aged 10-20) at risk of gun violence including housing, transition advocacy services and a Justice Peer Program with adult mentors who have experience in the juvenile legal system.","Eliminating barriers to healthcare for underrepresented communities:  infrastructure improvements and comprehensive training for health care professionals. Proposal includes a new van to provide access and services directly to residents in neighborhoods with the most need.","Expansion of the RPD Office of Business Intelligence staffing to develop necessary business processes, manage data workflow, create analytical products and upgrade the existing Open Data Portal.","Rochester Land Bank initiatve focused on the creation home-ownership for low-moderate income residents. The program focuses on medium to large scale development parnters acquiring and rehabbing homes in challenged neighborhoods and/or targeted neighborhoods where other development is taking place.","Doula program to prevent black maternal and infant mortality as well as a 15-week mentoring and educational course for fathers (with a focus on previously incarcerated individuals).","A pilot Guaranteed Basic Income program in the form of a monthly stipend for 175 income-eligible residents per year over the course of two years.","Continued provision of free, healthy meals to senior citizens while supporting small business restaurants disproportionately impacted by the pandemic.","The Targeted Mixed-Use Rehabilitation Grant Program will provide financial assistance to eligible property owners who own a mixed-use property in identified targeted areas. Eligible uses for the program will included renovations to the residential units to address lead-based paint hazards, health and safety hazards, plumbing and electrical repairs, code violations and other improvements to meet certificate of occupancy standards.","A wraparound service and workforce development program to help individuals with disabilities.","This funding will be used to address utility relocations and other critical foundational activities to advance the full vision of creating riverfront connectivity on the downtown waterfront by establishing an iconic public space and extending the Genesse Riverway Trail through downtown Rochester.","Deaf Refugee Advocacy Community Connections will provide ASL and English workshops, soft skills education, financial literacy courses, independent living skills programs, technical competencies coaching and workforce development training.","Repairs and supplemental structural support within the South Avenue and Stone Street Wings of the South Avenue Garage.","Youth and families within the city of Rochester have been struggling with how to navigate the many thoughts and feelings that accompany the trauma associated with the COVID pandemic, from the increase in violence, to the isolation experienced during key developmental years. The City will utilize ARPA funding to partner with one or multiple agencies to provide professional social-emotional, health and wellness supports and programming to the youth and families that attend R-Centers.","Pavement reconstruction and water infrastructure improvements that will enhance traffic safety and efficiency and improve the riding quality of the roadway, accessibility, and streetscape.","Renovation of transitional housing complex for homeless and low-income male veterans.","ARPA funding will be used to procure and implement an enterprise Accounts Receivable and Utility Billing software solution. The new solution will include enhanced workflow and processing capabilities to improve the efficiency of operations, as well as offering enhanced online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","The funds will be used to support the City's demolition program that removes vacant, derelict, and fire-damaged structures that are a public safety hazard or blight ot the surrounding neighborhoods.","The Peacemaker Fellowship is a transformative mentoring program that enrolls the highest risk individuals in a personalized and structured cohort for an 18-month period. The model has been effective in bridging the gap between anti-violence programming such as outreach and breaking the cycle for the hard to reach populations at the center of violence in urban areas.","Enhance Durand Eastman Park through the addition of acessible public pathways and numerous site improvements including lighting, a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.","The creation of Neighborhood Centers at Lewis Street, Thurston Road, and inside the Maplewood Family Branch.","Redesign and reconstruction of this scenic park located in downtown Rochester spanning the Genesee River just south of High Falls, close to Main Street. This is a project supported by the ROC the Riverway initiative.","These funds will also be used to expand permitting, licensing, and inspection processes for the City's Department of Environmnetal Services, the Rochester Fire Department, and the Department of Neighborhood and Business Development. The new solution will replace several outdated legacy soluations and will promote the quality and utilization of assets throughout their lifecycle, increase productive uptime, and reduce operational costs for all departments involved. The new solution will also offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","Using their delivery truck model and relationships with organizations who work with low-income families, Foodlink will enhance their operations and address existing gaps in traditional Federal Nutrition Programs (FNPs) to serve more quality, nutritious meals to multi-generational families throughout Monroe County.","Program that will provide no cost loans or grants to those at or below 200% of the Federal poverty line no cost loans or grants who need transportation to start or keep employment. Support services such as employment coach/mentor and financial literacy.","A mobile welding lab that offers training programs to at-risk youth (18-24), inmates and offenders on probation that have significant barriers to employment.","A hydroponic farm that will provide healthy food to vulnerable communities (homeless, veterans, children etc.) as well as job training and educational opportunities for Monroe County residents.","A program that focuses on giving underrepresented communities the tools, training and support they need to succeed in the skilled trades.","Collaborative project with RCSD that would create 8 school-based mental health clinics and establish telehealth infrastructure.","Park renovations to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized hand carried watercraft. This is a project supported by the ROC the Riverway initiative.","Provision of financial assistance to income-eligible, owner-occupant seniors. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","Partnership with The City of Rochester to expand the City’s existing land bank to incorporate the twenty nine suburban towns and villages within Monroe County. creation/ enhancement of a website, legal expenses, planning studies and acquisition and/or demolition of property.","The funds will be used to implement a replacement to the City's current software for the Parking Enforcement and Municipal Code Violations Bureau. The new solution will offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests as well as include improved workflow and processing capabilities for internal staff to enhance the efficiency of operations and quality of data.","Grants for low-income homeowners to receive energy-efficient home improvement.","Wraparound services and support for seniors to enhance access to healthcare: LPNs will coordinate transportation and attend medical appointments with older adults, facilitate telehealth, arrange pharmacy delivery and schedule preventative health care screens and vaccinations.","Funds will be used to support predevelopment activities related to the ongoing Bull's Head revitalization project, located on the western part of the city surrounding the intersection of West Main Street, West Avenue, Brown and Genesee Streets.","Procure a subject matter expert (SME) on recruitment and retainment of a diverse workforce within the Department of Public Safety","Creation of a Mentoring Center and enhancement of BBBS program to serve more youth with wraparound services.","The existing spray park, installed in 2001, was the City's first spray park. The spray park is reaching the end of its service life and this project will update the mechanical, electrical, plumbing, control, and surfacing systems.","Grant assistance program for small existing and start-up commercial and manufacturing businesses with expansion and/or business retention projects.","A mobile boutique and career center that would offer workforce training and career attire for underserved women.","The Park Square II project includes the preservation and rehabilitation of 200 existing affordable rental units located in Midtown Manor, now known as the Tower at Park Square, and the new construction of 40 affordable rental units on the property to replace those demolished as part of Park Square (Southest Towers) Phase 1.","Provision of career exploration, employment skills training, and support services for entry-level healthcare workers.","Located in Baden Park, this impactful community project will creat an outdoor learning environment that will present historical narratives of Rochester's Black Feedom Struggle, emphasizing the rich history of civil rights and civic engagement.","Bring together neighborhood teens with beat officers who patrol their streets.  Over the course of 7 sessions-- including a graduation ceremony and one follow-up on line reunion—youth participants and local police officers engage in discussions, games, and role plays to build their public speaking and facilitation skills, get to know each other on a personal level, and learn from each other.","The City will partner with an outside consultant to monitor, evaluate, and measure the results of programs funded with ARPA dollars, including those projects involving subrecipient agencies","Helps vulnerable Monroe County residents with financial counseling to secure affordable auto loans and find reliable transportation with local lending partners.","Security measures to fortify the church (lighting, security film for windows, safe rooms etc.) as well as active shooter training.","Family Reunification Centers provide a venue for authorities to provide information to victims, coordinate access to support services, and facilitate the collection of information from families about the victims that can be used for victim identification. A Crisis Assistance Center provides a central location which is designed to ensure effective communication between agencies responsible for the provision of family assistance services; ensure efficient delivery of family assistance services by assessing needs, identifying gaps, avoiding duplication of services; and coordinating/managing requests for services","Firehouses are on average 70 years old. Funds will be used for repairs at various firehouses including but not limited to, site paving at multiple firehouses to maintain and improve truck access to the apparatus bays.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","The Rochester firehouses are on average 70 years old, with the majority built between 1950 and 1965. Funds will be used to make capital improvements to accomodat the RFD response model and workforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Expansion of the capacity of this existing, successful program. Additional participants will gain manufacturing skills and complete required occupational health and safety trainings while networking with local employers to begin a successful career in the trades.","Firehouses are on average 70 years old. Funds will be used to make capital improvements to accommodate the response model an dworkforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Upgrade access to language services: the department will work with local educational institutions like RIT and MCC to get over 200 people (community members and employees) certified, trained and developed to deliver language access services in their respective departments or community organizations. This program also proposes to purchase equipment and tools for interpretation services that can be borrowed by MC Departments and approved community organizations; Increase opportunity for MWBEs to kick start their growth while increasing the strength of entrepreneurship in Monroe County for women and people of color.  The program will fund justified equipment, material, or personnel costs to help MWBEs start-up or expand their business over a 12-month period. The program proposes to fund 40-60 (10-15 per year) businesses over 4 years.","External consulting expertise and administrative support for ARPA compliance, reporting and project management.","The Broad and Allen Firehouse Renovation Project will renovate the existing kitchen and exhaust hood with a code compliant exhaust hood and fire suppression system.","Incentivize COVID vaccination and booster shots for the City's workforce to protect the health of employees' families, friends, and neighbors as well as city residents who visit City Hall and other City workplaces.","Establishment of a new downtown tour boat, docked at Corn Hill Landing, is an important ROC the Riverway initiative and is anticipated to be a major tourist attraction for our community. In addition, CHN will establish its new ticket and office operation at Corn Hill Landing.","The funds will be used to implement new network security hardware and licenses, enhance the City's cybersecurity operations center, procure outside assessment of the cybersecurity program and practices, increase security training, and expand and improve external vulnerability scanning.","Administration of the City's Kiva program to increase the volume of low-interest loans to Rochester entrpreneurs.","Provision of employment skills training and stipends for youth.","Expansion of vending and multi-use event spaces and provide new business development support services.","Several ARPA-funded projects included funding for staffing necessary to implement the program or service. These expenses are included within a project's \"total appropriation,\" however it is the City's practice to account for the employee wages within the implementing department and the employee fringe benefit expenses within the Department of Undistributed Expenses."],"agency":["Environmental Services","Recreation and Human Services","Neighborhood and Business Development","Finance","Varies","FLPPS","Environmental Services","Neighborhood and Business Development","Community Resource Collaborative on Behalf of the Neighborhood Collaborative Project","Neighborhood and Business Development","Environmental Services","EnCompass: Resources for Learning","Monroe County Department of Planning","Neighborhood and Business Development","Environmental Services","Environmental Services / Library","FLPPS\r","Administration","Trillium Health","Reentry Association of WNY, Inc.","Monroe County Public Health","Baden Street Settlement of Rochester, Inc","Environmental Services","Environmental Services","Monroe County Public Health/ DHS","Neighborhood and Business Development","Monroe County Sheriff","Urban League of Rochester, NY, Inc.","Information Technology","Willow Domestic Violence Center of Greater Rochester, Inc.","Environmental Services","Center for Community Alternatives","St. Joseph’s Neighborhood Center","Police","Neighborhood and Business Development","Healthy Baby Network","Administration","Neighborhood and Business Development","Neighborhood and Business Development","Mary Cariola Center","Environmental Services","Deaf Refugee Advocacy","Environmental Services","Recreation and Human Services","Environmental Services","Veterans Outreach Center, Inc.","Administration","Neighborhood and Business Development","Recreation and Human Services","Environmental Services","YMCA of Greater Rochester","Environmental Services","Administration","Foodlink, Inc.","Monroe County DHS","The Research Foundation for SUNY Brockport","Volunteers of America of Western New York, Inc.","Multicraft Apprenticeship Preparation Program, Inc.","Department of Pediatrics UR Medicine and Rochester Regional Health","Environmental Services","Neighborhood and Business Development","Monroe County Department of Planning","Administration","Rochester Energy Efficiency & Weatherization (RENEW)","Lifespan of Greater Rochester","Neighborhood and Business Development","Monroe County Public Safety","Big Brothers Big Sisters of Greater Rochester NY","Environmental Services","Neighborhood and Business Development","Dress for Success Rochester","Neighborhood and Business Development","Recreation and Human Services","Environmental Services","Monroe County Public Safety","Administration","Consumer Credit Counseling Service of Rochester","Mt. Olivet Baptist Church","Monroe County Public Safety","Environmental Services","Environmental Services","Environmental Services","Undistributed Expenses","Environmental Services","Monroe County DEI","Administration","Environmental Services","Human Resource Management","Neighborhood and Business Development","Information Technology","Administration","Recreation and Human Services","Recreation and Human Services","Undistributed Expenses"]},"columns":[{"id":"program","name":"Program","type":"character","style":"function(rowInfo, colInfo) {\nconst rowIndex = rowInfo.index + 1\nif (colInfo.id === 'program' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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=== 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { 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=== 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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 return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 24) {\n  return { fontSize: 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=== 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'policy_area' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' 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(colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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(colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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(colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' 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10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 21) {\n  return { fontSize: '80%', 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  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21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: 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=== 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & 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=== 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' 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whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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=== 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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}\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 23) 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'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'building_block' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 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'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 89) {\n  return { 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{ fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 52) {\n  return { fontSize: '80%', 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif 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'program' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 26) {\n  return { fontSize: '80%', 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\n}","cell":["Replacement of a portion of the city's lead, lead-lined and galvanized water services to remove any possible sources of lead contamination and complete associated street work.","Funding will be utilized to provide transformative workforce development experiences for adults and youth. Adult services include paid job training in multiple fields, job placement services, financial literacy, academic services, entrepreneurship and small business services, workforce readiness workshops, and job fairs. Youth services include the creation of additional youth internships that focus on public service, entrepreneurship, personal growth and enrichment; financial literacy training and access to simple banking opportunities. A portion of the funding will also be used to purchase a vehicle for mobile outreach efforts.","New construction of homes for income-eligible, first-time homeowners on vacant lots in Rochester's fomer 'redlined' neighborhoods.","Replacement of lost government revenues due to the pandemic. Funds will be utilized to support continuation of government services.","Replacement of lost government revenues due to the pandemic. Funds will be utilized to support continuation of government services.","A workforce development program that would pay SNFs and HHCAs for the successful recruitment and training of certified nursing assistants (CNAs), home health aides (HHAs), licensed practical nurses (LPNs), and registered nurses (RNs), which will expand service capacity within the SNFs and HHCAs.  Monroe County (MC) SNFs and HHCAs would receive $11,500 per CNA/HHA employed and trained.","Repair, restoration and reconstruction of exterior parapets, limestone and brick masonry, historic windows, and structural framing systems for the east, south and north facades, and repairs to the adjacent east terrace.","Expansion of the City's high demand roofing assistance program. Funds may cover replacement of roofs, skylights, roof drains, gutters and roofign masonry structure/decking, and parapet reconstruction for income eligible homeowners.","Wraparound services  and neighborhood outreach via collaboration between well-known community organizations in the crescent.","The funds provided will assist residentail property owners in replacing lead service lines in an effort to reduce the amount of lead in drinking water.","This ROC the Riverway project encompassing a building addition and modernazation to the southwest face of the RRCC to create a new and revitalized event space that directly engages with the downtown riverfront. The expanded space will enable patrons to participate in Convention Center events and enjoy the spectacular views of the majestic Genesee River simultaneously. The project will also include, but is not limited to, building facade repairs and strategic river wall repairs.","A collaborative 'Hive' program geared toward BIPOC youth that offers year-round workforce programming, wraparound services and career placement pathways.","Establish and administer a revolving loan fund, primarily microloans up to $50,000*, to provide access to capital and technical assistance not otherwise available to small and start-up businesses","Provision of rehab grants to income-eligible, owner-occupants. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","The Nature Center will serve as Rochester's hub for specialized environmental education and expeditionary experiences along the Genesee River including interactive exhibits, demonstration gardens, wildlife, outdoor adventures, summer camps and a nature pre-K. This project is supported by the ROC the Riverway initiative.","The Maplewood Community Library was constructed in 1959. This project will include a renovation of the existing library, an expansion of the west side of the facility including new program space, and additional parking on site.","Finger Lakes Performing Provider System (FLPPS) will serve 200 “difficult to place”\r\npatients over a twelve-month period with their Complex Care Program. The targets for this program are patients who are ready for discharge and awaiting nursing home placement, but generally face barriers to discharge. Many of these patients are considered low-income or medically complex.","The Rochester Peace Collective will provide funding to community-based organizations to work collaboratively and in close alignment with the City to prevent violence.","Wraparound health services for underrepresented and minority communities (LGBTQ+, BIPOC, homeless) including a Mobile Access Clinic, Syringe Exchange Program and a Food Cupboard.","A one-stop-shop for previously incarcerated residents.","Approaches violence with the understanding that violence is an epidemic process that can be stopped using the same evidence-based, public health strategies employed to fight epidemics such as COVID-19, AIDS and Tuberculosis","Renovation of facilities at Baden Street to add a Mental Health clinic specializing in BIPOC communities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","Creation of one stop location for healthy birthing services supporting underserved communities.","Funding will be used to invest in city-based businesses to expand healthy food access, attract new  healthy food retail businesses to target areas, and implement innovative, alternative food retail models.","Health &amp; Wellness Program creates a long-term framework that supports and recognizes the critical linkages between community wellness, mental health, and public safety.","A wraparound program supporting underrepresented communities in distressed zip codes focused on training for skilled trades workers including Mold Abatement Workers, Asbestos Handlers, and Lead Abatement Workers.  Also offers certifications in OSHA 10.","Replacement of outdated network infrastructure and technology that support core City functions.","Creation of a Multi-Disciplinary Justice Center and enhancement of wraparound services for domestic violence survivors.  The need for these kinds of services has increased due to the COVID-19 pandemic.","The Blue Cross Arena at the War Memorial was constructed in the 1950's and is the home to the Rochester Americans AHL hockey team and hosts many other sports and public events throughout the year. This project includes design and intallation of a modern replacement ice chiller plant, which creates and maintains the ice sheet, utilizing an allowable refrigerant type.","Services for youth (aged 10-20) at risk of gun violence including housing, transition advocacy services and a Justice Peer Program with adult mentors who have experience in the juvenile legal system.","Eliminating barriers to healthcare for underrepresented communities:  infrastructure improvements and comprehensive training for health care professionals. Proposal includes a new van to provide access and services directly to residents in neighborhoods with the most need.","Expansion of the RPD Office of Business Intelligence staffing to develop necessary business processes, manage data workflow, create analytical products and upgrade the existing Open Data Portal.","Rochester Land Bank initiatve focused on the creation home-ownership for low-moderate income residents. The program focuses on medium to large scale development parnters acquiring and rehabbing homes in challenged neighborhoods and/or targeted neighborhoods where other development is taking place.","Doula program to prevent black maternal and infant mortality as well as a 15-week mentoring and educational course for fathers (with a focus on previously incarcerated individuals).","A pilot Guaranteed Basic Income program in the form of a monthly stipend for 175 income-eligible residents per year over the course of two years.","Continued provision of free, healthy meals to senior citizens while supporting small business restaurants disproportionately impacted by the pandemic.","The Targeted Mixed-Use Rehabilitation Grant Program will provide financial assistance to eligible property owners who own a mixed-use property in identified targeted areas. Eligible uses for the program will included renovations to the residential units to address lead-based paint hazards, health and safety hazards, plumbing and electrical repairs, code violations and other improvements to meet certificate of occupancy standards.","A wraparound service and workforce development program to help individuals with disabilities.","This funding will be used to address utility relocations and other critical foundational activities to advance the full vision of creating riverfront connectivity on the downtown waterfront by establishing an iconic public space and extending the Genesse Riverway Trail through downtown Rochester.","Deaf Refugee Advocacy Community Connections will provide ASL and English workshops, soft skills education, financial literacy courses, independent living skills programs, technical competencies coaching and workforce development training.","Repairs and supplemental structural support within the South Avenue and Stone Street Wings of the South Avenue Garage.","Youth and families within the city of Rochester have been struggling with how to navigate the many thoughts and feelings that accompany the trauma associated with the COVID pandemic, from the increase in violence, to the isolation experienced during key developmental years. The City will utilize ARPA funding to partner with one or multiple agencies to provide professional social-emotional, health and wellness supports and programming to the youth and families that attend R-Centers.","Pavement reconstruction and water infrastructure improvements that will enhance traffic safety and efficiency and improve the riding quality of the roadway, accessibility, and streetscape.","Renovation of transitional housing complex for homeless and low-income male veterans.","ARPA funding will be used to procure and implement an enterprise Accounts Receivable and Utility Billing software solution. The new solution will include enhanced workflow and processing capabilities to improve the efficiency of operations, as well as offering enhanced online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","The funds will be used to support the City's demolition program that removes vacant, derelict, and fire-damaged structures that are a public safety hazard or blight ot the surrounding neighborhoods.","The Peacemaker Fellowship is a transformative mentoring program that enrolls the highest risk individuals in a personalized and structured cohort for an 18-month period. The model has been effective in bridging the gap between anti-violence programming such as outreach and breaking the cycle for the hard to reach populations at the center of violence in urban areas.","Enhance Durand Eastman Park through the addition of acessible public pathways and numerous site improvements including lighting, a bus shelter for public access, signage, emergency vehicle access, bicycle parking, plantings, lighting and landscaping.","The creation of Neighborhood Centers at Lewis Street, Thurston Road, and inside the Maplewood Family Branch.","Redesign and reconstruction of this scenic park located in downtown Rochester spanning the Genesee River just south of High Falls, close to Main Street. This is a project supported by the ROC the Riverway initiative.","These funds will also be used to expand permitting, licensing, and inspection processes for the City's Department of Environmnetal Services, the Rochester Fire Department, and the Department of Neighborhood and Business Development. The new solution will replace several outdated legacy soluations and will promote the quality and utilization of assets throughout their lifecycle, increase productive uptime, and reduce operational costs for all departments involved. The new solution will also offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests.","Using their delivery truck model and relationships with organizations who work with low-income families, Foodlink will enhance their operations and address existing gaps in traditional Federal Nutrition Programs (FNPs) to serve more quality, nutritious meals to multi-generational families throughout Monroe County.","Program that will provide no cost loans or grants to those at or below 200% of the Federal poverty line no cost loans or grants who need transportation to start or keep employment. Support services such as employment coach/mentor and financial literacy.","A mobile welding lab that offers training programs to at-risk youth (18-24), inmates and offenders on probation that have significant barriers to employment.","A hydroponic farm that will provide healthy food to vulnerable communities (homeless, veterans, children etc.) as well as job training and educational opportunities for Monroe County residents.","A program that focuses on giving underrepresented communities the tools, training and support they need to succeed in the skilled trades.","Collaborative project with RCSD that would create 8 school-based mental health clinics and establish telehealth infrastructure.","Park renovations to provide sightlines and access to the waterfront and trail system, enhance public recreational use of the parkland, and provide direct public recreational use of the Genesee River for non-motorized hand carried watercraft. This is a project supported by the ROC the Riverway initiative.","Provision of financial assistance to income-eligible, owner-occupant seniors. Funds will be allocated to support areas where housing development projects are located, areas where the most gain can be achieved as per the Housing Market Study, and to mitigate blight and hazards city-wide.","Partnership with The City of Rochester to expand the City’s existing land bank to incorporate the twenty nine suburban towns and villages within Monroe County. creation/ enhancement of a website, legal expenses, planning studies and acquisition and/or demolition of property.","The funds will be used to implement a replacement to the City's current software for the Parking Enforcement and Municipal Code Violations Bureau. The new solution will offer upgraded online billing and payment functionality for customers to access invoices, make on-line payments, view payment history, and submit service requests as well as include improved workflow and processing capabilities for internal staff to enhance the efficiency of operations and quality of data.","Grants for low-income homeowners to receive energy-efficient home improvement.","Wraparound services and support for seniors to enhance access to healthcare: LPNs will coordinate transportation and attend medical appointments with older adults, facilitate telehealth, arrange pharmacy delivery and schedule preventative health care screens and vaccinations.","Funds will be used to support predevelopment activities related to the ongoing Bull's Head revitalization project, located on the western part of the city surrounding the intersection of West Main Street, West Avenue, Brown and Genesee Streets.","Procure a subject matter expert (SME) on recruitment and retainment of a diverse workforce within the Department of Public Safety","Creation of a Mentoring Center and enhancement of BBBS program to serve more youth with wraparound services.","The existing spray park, installed in 2001, was the City's first spray park. The spray park is reaching the end of its service life and this project will update the mechanical, electrical, plumbing, control, and surfacing systems.","Grant assistance program for small existing and start-up commercial and manufacturing businesses with expansion and/or business retention projects.","A mobile boutique and career center that would offer workforce training and career attire for underserved women.","The Park Square II project includes the preservation and rehabilitation of 200 existing affordable rental units located in Midtown Manor, now known as the Tower at Park Square, and the new construction of 40 affordable rental units on the property to replace those demolished as part of Park Square (Southest Towers) Phase 1.","Provision of career exploration, employment skills training, and support services for entry-level healthcare workers.","Located in Baden Park, this impactful community project will creat an outdoor learning environment that will present historical narratives of Rochester's Black Feedom Struggle, emphasizing the rich history of civil rights and civic engagement.","Bring together neighborhood teens with beat officers who patrol their streets.  Over the course of 7 sessions-- including a graduation ceremony and one follow-up on line reunion—youth participants and local police officers engage in discussions, games, and role plays to build their public speaking and facilitation skills, get to know each other on a personal level, and learn from each other.","The City will partner with an outside consultant to monitor, evaluate, and measure the results of programs funded with ARPA dollars, including those projects involving subrecipient agencies","Helps vulnerable Monroe County residents with financial counseling to secure affordable auto loans and find reliable transportation with local lending partners.","Security measures to fortify the church (lighting, security film for windows, safe rooms etc.) as well as active shooter training.","Family Reunification Centers provide a venue for authorities to provide information to victims, coordinate access to support services, and facilitate the collection of information from families about the victims that can be used for victim identification. A Crisis Assistance Center provides a central location which is designed to ensure effective communication between agencies responsible for the provision of family assistance services; ensure efficient delivery of family assistance services by assessing needs, identifying gaps, avoiding duplication of services; and coordinating/managing requests for services","Firehouses are on average 70 years old. Funds will be used for repairs at various firehouses including but not limited to, site paving at multiple firehouses to maintain and improve truck access to the apparatus bays.","Firehouses are on average 70 years old. Funds will be utilized to make capital imporvements to accommodate the response model and workforce diversity that has changed significantly in the many years since many of these facilities were designed and constructed. Renovations will include, but are not limited to, addition of gender neutral facilities, building system repairs and replacements, and code compliance and site upgrades at critical, high priority facilities.","The Rochester firehouses are on average 70 years old, with the majority built between 1950 and 1965. Funds will be used to make capital improvements to accomodat the RFD response model and workforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Expansion of the capacity of this existing, successful program. Additional participants will gain manufacturing skills and complete required occupational health and safety trainings while networking with local employers to begin a successful career in the trades.","Firehouses are on average 70 years old. Funds will be used to make capital improvements to accommodate the response model an dworkforce diversity that has changed significantly in the years since many of these facilities were designed and constructed.","Upgrade access to language services: the department will work with local educational institutions like RIT and MCC to get over 200 people (community members and employees) certified, trained and developed to deliver language access services in their respective departments or community organizations. This program also proposes to purchase equipment and tools for interpretation services that can be borrowed by MC Departments and approved community organizations; Increase opportunity for MWBEs to kick start their growth while increasing the strength of entrepreneurship in Monroe County for women and people of color.  The program will fund justified equipment, material, or personnel costs to help MWBEs start-up or expand their business over a 12-month period. The program proposes to fund 40-60 (10-15 per year) businesses over 4 years.","External consulting expertise and administrative support for ARPA compliance, reporting and project management.","The Broad and Allen Firehouse Renovation Project will renovate the existing kitchen and exhaust hood with a code compliant exhaust hood and fire suppression system.","Incentivize COVID vaccination and booster shots for the City's workforce to protect the health of employees' families, friends, and neighbors as well as city residents who visit City Hall and other City workplaces.","Establishment of a new downtown tour boat, docked at Corn Hill Landing, is an important ROC the Riverway initiative and is anticipated to be a major tourist attraction for our community. In addition, CHN will establish its new ticket and office operation at Corn Hill Landing.","The funds will be used to implement new network security hardware and licenses, enhance the City's cybersecurity operations center, procure outside assessment of the cybersecurity program and practices, increase security training, and expand and improve external vulnerability scanning.","Administration of the City's Kiva program to increase the volume of low-interest loans to Rochester entrpreneurs.","Provision of employment skills training and stipends for youth.","Expansion of vending and multi-use event spaces and provide new business development support services.","Several ARPA-funded projects included funding for staffing necessary to implement the program or service. These expenses are included within a project's \"total appropriation,\" however it is the City's practice to account for the employee wages within the implementing department and the employee fringe benefit expenses within the Department of Undistributed Expenses."],"html":true,"width":700,"align":"left","headerStyle":{"font-weight":"normal"}},{"id":"agency","name":"Agency","type":"character","style":"function(rowInfo, colInfo) {\nconst rowIndex = rowInfo.index + 1\nif (colInfo.id === 'program' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'program' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'geography' & rowIndex === 94) {\n  return { 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'80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'allocated' & rowIndex === 14) {\n  return { fontSize: '80%', 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'policy_area' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 1) {\n  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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 81) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 82) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 83) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 84) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 85) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 86) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 87) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'subtopic' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 14) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 15) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 16) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 17) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 18) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 19) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 20) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 35) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 36) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 37) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 38) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 39) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 40) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 41) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 42) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 43) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 44) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 45) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 46) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 47) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 48) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 49) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 50) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 51) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 52) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 53) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 54) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 55) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 56) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 57) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 58) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 59) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 60) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 61) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 62) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 63) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 64) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 65) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 66) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 67) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 68) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 69) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 70) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 71) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 72) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 73) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 74) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 75) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 76) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 77) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 78) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 79) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 80) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 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'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 88) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 89) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 90) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'RACF Priority' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 3) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 4) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 5) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 6) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 7) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 8) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 9) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 10) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 11) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 12) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 13) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 14) {\n  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21) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 22) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 23) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 24) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 25) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 26) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 27) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 28) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 29) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 30) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 31) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 32) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 33) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 34) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 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fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 91) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 92) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 93) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'description' & rowIndex === 94) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 1) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 2) {\n  return { fontSize: '80%', fontStretch: 'ultraCondensed', whiteSpace: 'preLine' }\n}\n\nif (colInfo.id === 'agency' & rowIndex === 3) {\n  return { fontSize: 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@@ -13069,7 +13069,7 @@
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diff --git a/site_libs/Redlining_grade-0.0.1/Redlining_grade_layer.fgb b/site_libs/Redlining_grade-0.0.1/Redlining_grade_layer.fgb
index 612cd4b..2bbf867 100644
Binary files a/site_libs/Redlining_grade-0.0.1/Redlining_grade_layer.fgb and b/site_libs/Redlining_grade-0.0.1/Redlining_grade_layer.fgb differ
diff --git a/site_libs/bootstrap/bootstrap.min.css b/site_libs/bootstrap/bootstrap.min.css
index cfd7a4d..640a472 100644
--- a/site_libs/bootstrap/bootstrap.min.css
+++ b/site_libs/bootstrap/bootstrap.min.css
@@ -9,4 +9,4 @@
 * we also add `bright-[color]-` synonyms for the `-[color]-intense` classes since
 * that seems to be what ansi_up emits
 *
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diff --git a/sitemap.xml b/sitemap.xml
index 540eb40..de3f528 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -2,6 +2,6 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://UI-Research.github.io/rochester-dashboard/scripts/index.html</loc>
-    <lastmod>2024-08-19T18:35:50.821Z</lastmod>
+    <lastmod>2024-08-20T04:04:35.837Z</lastmod>
   </url>
 </urlset>