20220308 09081300 1.0 TRUE CreateFeatureclass "N:\DPW\Staff\Staff Projects\Jade Smith\Sidewalk Gap Program\Default.gdb" SidewalkCrosswalkStart_EndPoints Point # No No "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 # AddField "N:\DPW\Staff\Staff Projects\Jade Smith\Sidewalk Gap Program\Default.gdb\SidewalkCrosswalkStart_EndPoints" ORIG_FID "Long (large integer)" # # # # NULLABLE NON_REQUIRED # JoinField "N:\DPW\Staff\Staff Projects\Jade Smith\Sidewalk Gap Program\Default.gdb\SidewalkCrosswalkStart_EndPoints" ORIG_FID "Sidewalk & Crosswalk Centerlines" OBJECTID # AddSpatialIndex "N:\DPW\Staff\Staff Projects\Jade Smith\Sidewalk Gap Program\Default.gdb\SidewalkCrosswalkStart_EndPoints" 0 0 0 GeneratePointsAlongLines "Sidewalk & Crosswalk Centerlines" "N:\DPW\Staff\Staff Projects\Jade Smith\Sidewalk Gap Program\Default.gdb\SidewalkCrosswalkStart_EndPoints" "By percentage" # 99 END_POINTS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WorkspaceConnectionString>DATABASE=N:\DPW\Staff\Staff Projects\Jade Smith\Sidewalk Gap Program\Default.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>SidewalkCrosswalkSTART_ENDPoints</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><AddField><field_name>WithinBuffer</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>WIthin Half-Mile Buffer</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>SchoolLevel</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>School Level</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>SchoolName</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>School Name</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>" CalculateField SidewalkCrosswalkSTART_ENDPoints WithinBuffer 'Yes' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField SidewalkCrosswalkSTART_ENDPoints WithinBuffer 'No' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'High School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Plymouth-Canton Educational Park' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Walker-Winter Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'All Saints Catholic School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Private - Preschool thru Middle School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Private - Preschool thru Middle School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Canton Charter Acadamy' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Private - Birth thru Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Schoolhouse Montessori Academy' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Private - Elementary & Middle School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'South Canton Scholars' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Plymouth Christian Academy' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Private - Preschool thru High School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Private - Elementary & Middle School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Achieve Charter Academy' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Private - Middle & High School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Canton Preparatory High School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Field Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel "'Middle School' + !SchoolLevel!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel "'Middle School, ' + !SchoolLevel!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName "'Liberty Middle School, ' + !SchoolName!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel "'Elementary, ' + !SchoolLevel!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName "'Gallimore Elementary School, ' + !SchoolName!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Gallimore Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel "'Elementary, ' + !SchoolLevel!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName "'Hulsing Elementary School, ' + !SchoolName!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Eriksson Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Hoben Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Bentley Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Workman Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName "'Dodson Elementary School, ' + !SchoolName!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel "'Elementary, ' + !SchoolLevel!" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel '' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName '' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolLevel 'Elementary' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Sidewalk START & END Points Test" SchoolName 'Tonda Elementary School' "Python 3" # Text NO_ENFORCE_DOMAINS Engineering Test Layer of Sidewalk Gaps Not Official Layer just put in to test Application Sidewalk START & END Points (Gap Test) /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwChBdQe dFcOmXjkKAAZB98++RT7TUFkglhSV4cjzGcgbtucc/z496q6hqKWunyzJGqlRtUhBhOuCR+X5Vq6 TqcMumedGMtt+aSNVboeTtx0P4VyPRXN0uhQ+yTrB9pDRGPklSuGHAHf156Vo6XZRXcbxwwN55Hz qDyp7n+fNdGkk++P7MYyoClmwF4PQY6iqkr38MssqXswKx7niyQFJ6FT6cHPWs3NtWjuWlZ6kNlF dWcaq0q5ONyBGI9eeOo9aDpBvDcQW+nrFJtxCxi2BsdTxQ9zcxSOssk244MbCZiOmcYBGOhx06da ZczyyziFnG1IFZY2O7aOuNw5I/z61D52/dH7vUfceGLqayW2hUqrybykh4wRgDPfp+tEOnalHcS/ 6Pcq2Qsj28wALKM8g57Hrn14p13f3VvYITcuzIAyneSR74+vFUp7q5TEcCXUszKsrlbvy1LYX5uh 7Y/L1qLV+rRd6fS5ZW2Lyf6Qn/LsY/MeUF9uM4zx0JP/ANapLaxt5kHmsjLHBH5gZht2hjnv7/oa poIyizW9rE06xyJInnBvvZwS3HY9fY1nXiSQ2lsrsEiAwJd2/IP0+gFapX2Zm2a+o2QiuvtNm0LQ kMsW1iMjGQehP/6qZHZNHdyMbpBKqLFEdzAqWwV7dyDUVpLNsRYh5hjhjYRxblxkDlTjkcc4qb7R JuEypGzJIPklkzkj5hhxn1PBpJSUeW9wdm7iySteSyRT3rvFKweEMMgbT82PcEfrWjPEbZZmk1lj gPOAqkkqf4Rzzgc9O9Lbf2darp98I5mMaMkm484LfNj8etVZrmGTVlaPILh0XdKdyho+Me+QKys5 pNaeVkaX5XbcTy7Jd0moyXEkLQxLvKlWz0HJ/XvzSJHoDwXMSXEsULAIQse58dDzj+8OlUbVZRZy PFM1v5iRyeZJK5YEOFcED3BH1q2TIb2ASS3cY3TBY3mI37QSM9MAnP5j0puGujaFzeRfS4t2tII7 eKUIodVBcKSN2c8/iazng0vToXw2WlXhXnwCG/4CR34pbpXtY7Se0j+0EEjZJcgk8cjJ6nrzzihb iWO1VWS7towMkrdqdgweg/EcCtE33J0Gu1tcxrvtpmVEkJcT7w5THykkD19Ks3fl6fp++C2aRZSp KfaNp9R25xjP1ql9o2WzO8l5Kf3m3z04O4YAyWPStLUEF3YpgxKAuFLtgEjOeRQ5PmVwsrMoW+vw X94rtYNGWZTk3G3oMDjb79KtyGw8opchWiyIiWmJ5DBh/D97p+tZ0qW8lqIpXVpIhkvF1iUYI4xl l9T71NFcyxOyzALKfmWU/wCrlycgn344P51UlfUSLjNatHPI8asrKE5mJHBB5+UY/wDrVFZS2ltb zSQRrsBXeqynkbgM8jsG6VPFHFsQ+VKC7lyZDuyeCcHuOetVnJkM8UksxieLzRFK2drLMvQ/y47i pXYZNLNHHMsRgVojLIuSDn0z19KbZSlYLiIR2kSkORlTlWxycc8ct0pYpiL8lpXKxzShxk5xkED8 MmnXMdnGTiR3wjfdUHcCAd3Xpjg+5FF+gvMqvdQrMphktEBPzTIFI4HA5GegHP8AhU9re/aEuIt8 L28qKCgThiRuxntjb+lZUjm4TyrQl1UDczYRQccc+pwOgx1qzbN5E0NtceVCHkSRMNww+Yc44BIb 6VpOKS8yVruhtlpljqGlLLBFKLqbcVj2gAkDoD+dJb31zp8Za6Sd4mwwDLwfQN6g/wBKbbwXMVvF bedGs0Eu7crHjGVPQVoid/s8a6hufzbcCCUHhtuOSPTn9apNp9yHdEMssV3eiW3ESQh43ihgXaq4 BGMZ6U27ju3unYWe+0XAdgME8AdagaxS0+ywkhpXkVt6jIIOcc9sf1+lZ97dXcNzOUu5FUHayhsc 4/8ArfrWn2tQtdaGlfWdjcRwWzXCRi1wp3cgZHHp6Gs1rOCG5gS2miZonUhm+6QTnpk9MUzU7iF4 PNSSRohjzD0yT049sfrVDYy+U7LtJ5VWOD0z9elHSxSR6GMzxfOzFuCrO4BHD9s5GOO4/SuX8VnO sxp5geUwgAHkpyflJ71s6LeNcoiSTgSBBGsQJJwB1OW55HYdvesHxlNGl9CZJMFEJyV7Z4GT9DXP TVp2NHsafw5I/wCExt1YkkRSFT2I2/5/OvaK8P8AhjqKXfilpIoyQluwDleM8d/6V7EGnYZDNg10 c1tDnqPU+ftQ0+aWKf7THtUsNxU/MRkE4607Rpk0lGhliEsbhg8aDbnuBn64/OtvXl81Ili4lIzt IPU4wOPx/KsK8t2jd5mQqGJ4PHA7/Ss1qtTXqdfZzZWW8j2xxsAvlsScNjAIIHIwM49vfgY7XuVm HmmRCXlQfKg9B/n0rM0gxGwa3MyxuJgw3ZIf5TgZrZgFvf3U0UVyF2REiAphVJ6n73Oewx+NYytC 7Zau9EZc0SOWnaZ3IWMDByB8i4yMjPUn8atRQ4ufPCpcTG2QKANquMtkDPTt+XvVdLpQu5ri1lhZ CvmSYRiMHI4OTjHv7VVubmzlvmYW8rtDDli9wV+XJPTB65/lVpMnQcwLXoty6qol3FS2QoPYevQ8 1JIkcssE3kny5YkZ0eXbtxld27pnGKz7qWygma32FrlB0DZ55H6fTv71eijElrCy28U7pEoiZgwx 83zAnPPWnLQEOeFDbxSbXi5MaRKROGAHXjGOO1TRxIbdYE+2B/O3iVrchcnHAGeMYA+tVtSika0d I7doVhuGKbVPKnB498g81mwi63Okkk2Cy4DSFcYwTjnnipUeZXuNux1lysUd5E0cU9rE0kcSqiA9 x/F1xxznistkWKaOScDcx8x4ooYhtGcAE59AefetBxPetazLaMjPFC0k4Xl8ORx9AM1TmswZ5FCt Jt3bybVuR1HTg1lDRWuClzK9i1ZwwSWsX7ktGPNUJLgsoJBxwTxiqWoWdtA80gSZD5iEtCMhAV4J HoGBqaC2uoY22QuhR/NGIfJQnGDyTzkEf980szj7TcmK6cyxsjyIsRfAKnAx3B4qloMghm3ySsyv PdRwiNohwHXIww/DJ4/xqB/IkhWBkhVvNdVeGQ/3ckc8881LIVTTxdEXrPauu0raiMjLdACeR8w/ KrcF/b+XaSTgwl5CLZpoVwzFeoA69f0q4vVEtaFa8svtOnRNbBN6TOQEQ/KQOPccgH8asJbs0nl3 dtGvmKFMjJg/6pSD+BB/Krc0MdxprD7QFaSXJI3IuePQcCmtpsjkyRzW+8xKhmyxbAUK3BBGcqaJ u708wjoinPIXllthPsWGCNRI33XZlBxt9Dn+dA86TT1iZYXDnG2TBCEbsjP1Ax3GfaonurWOQQvd RPMhWNT5BPA/mORV1fla4aa6cLGMYW2KDqRgc8881L0KKVoC08ivPY+e8XlKFVST8uAMgdOKp3wu SyTSPFLC2IyY8jGFPy9OQMk49q1EeK0tIWinDS+UNmJBA0mWPUkdAD61btx9olnU2kf3MSP9pVjn kjPHUGndLUNzP0K/i8hrKOGK3mj3mRQAc428+3TkVJGZEj3Ha20SR42ZyA3Az1AyoqK10rypvPti kLPHLE4FwH7Ag9Bz3qvMs7yNHe6haqIiQw25yQfboe9Oyk3YWqJdNuGuYLiVrfDSSbZWjwBjAPIP HXHpWrBuZ4DJNOmVZdolTBGTgEDvg/pWBquqjSrtbVLSF4gFfMi5LEjrgcDg9Ku6bqtnc3VuhaKJ QW6QAfMRwAMn0xRODtzJaBzW3LMykxGFJnnkEiSIrzq5285IAx2NVpo7efUoFuI4/MKxqRJuBwc9 AP6+tWN0kNjOywBnJCqjW3lggnGOuSQAaZFHBFG0TWpi8yJWJVjuU+ZgYz6cflSTsMzRqMcTSJ9k QMMZ3JnBz35561djvra4srRZY9wSIJgY6ADdwfUqKj1OC8u5o44ZVu0tiDJtkCASD72Vzwc9qux2 qW9raW9xEnnhnYeSuXHIIyeRtOM/lWsZLTuZTuULqRv7Qtgyxo+f3ijJUEcZ/DOOOmah1eS3W4uI xG+/zCSEOemeauCaG41GPdAyyNIQCQMZPNZ2p83l4+QyrPJkY9ziq6ocepTiEeG+cojcbHPPHr/n vTotMkWZZmgeSUoPKZOdvXnP0qXTopLu9kiEqRREFyxGccgHHp1H5Vbl+1WkkERkZ4piwOFICc4x juMHNO+tg6ENlMbacz288KnDBlBGVPQ5/lUmuWUmp39uB5dw7KHVdm4xnPIwOc//AFqSCe2RkMN0 YwIy5jUHIbHUnGfb8a19N1JYnWSOfDqOZRw3boD6Z4o5LvmE2y54A0w22ugMmFWI4KggHp7e9ep5 +lcH4RzJrUjFyy7GZWOPm57478+vau7q0rGctzwi8muYp0LooG4fOc8/5/rS3dyLizCMgcl/ujjO SD+XFV72KVLl1CNGMkrJ35xz79qnS3SFVuZQ3k/dAK8k9cA9h61job2ZX/s28j5gRVUn7rNzk5/z +NRCS+tJZHliKSSEjDKAGGOucZ/WtuK9gt442LRgBxjvtGc1ulIL7yVBCb8fNu5G4dzQ5WV2FtbI 4mSURsnluVEbbl3E9Oc9PWotH+0G7mj2z3AGGY7S2RjkbfrWjq0UtrHLapLHLJuA4HD4HT8SPXpR o9wLm1msjAqXYibyztwSeoGfXP8AKnze7dCtqSTWt7cX4mSymjJAJLRbQSB/+v8AOs6e9kidpUdk IcrtZ/T0HYc/zroLLal1YvCzMlyBwygKvzYYL0zkVnR6NaXE8IklBa5DMkYBxnng+gyKlT7jsYP2 q5uEfa2WfK7lG3g49PYUoNw/k9C3yqhQ4/zzW3Y6dZi+jLO2EY4Xy+GI7HJ46+/WrNtcT3EMSKIE LkgJ+7GCenGOR298fSm5roKxZS3jstNhS6imZntQE3zhCcuTgD8c1DM40+T7V5rsVjD/AGXzi+SD +uPbrn2qLU7iS6mTzVCxWyssMafdKhuGH129h2qKO5mRJsKHR42xsGGH0rOMG9WEXpqSyvLPdAXN rbDzFJQuzMOR0xupsc1tqF3dNDB5/liJXa3kdcrja3AJzjGPx70Xss32e2jt9kqlgHdByrYzzjt0 H4Hms1re4GpzQ2ayJFNu8x2j+YHgrtz2z/KqcV0Hc1RDBIbs2/kORay5yzKw+U8YJ4HTj61iR+ZB PHJBcbJY1yi4BwCMZA9KtzvqkcokW6OdgjZpMFuc/LyOntW68kkq+WfMWOe125LAKDsHQdeoOaWs dx7kwlkTT3Mk3mYOA6ZJG5QMg9sZOPTFQ2upGSDyjm4hLkKSC2CD16cnPaodEu5p9Ok3iN8TARlC MDgk8Z68fWpjBcOgjtyy5lGDDIcsOAfwGD+VVdp8qJsmrsge1RBFOI4W3R7vMlRj/EeBgfSrdvHJ LEs6mSXfJvUhSBncue2cZBPWqSl3WS2tZN7IFkRWlYYUhTjj1OfzrTt9LvbdZGvPMjFwgMbYYg9w OvYH1qXB2GpIpg3GozWiXKSCVVQTB7UsoIOcqx4GePyqGE6lY6nqtzFps80cwKqxUgg5A49uSa24 dEsdUMk91ql3ar5hi+zqdxyODn+fsCKG0jRpNFklb7SmoLGuyJ3yG6c5x7kYz2rRUmtiedMx7Ozl S3eWS2dG37ixQgAsPm/D5RUU811K0pW6ijKXEquGwPkDAD8Ov51d0ye2xDHHcI87okSpnLK6q/UH 2oYs8/nyW0qzEFHBgQ7Gxnk4J9ax15tTTS2hmavpU2pXUEkMscm+OFdzNksSg+b6fL196j03R2Op QwugizJzIFLdDn8BWxDdApLdO5ty0cLljyWAbBA/lVLTdVkGtb5GcW4uMq0jE7VOe30PNUpT5Wl0 Intcm+2IkMvnGASrMJApnJUYzyB27D8qrW93Z/Zysl3Cp8vDbAeofdnpVq70+H7O0cECyPG4LeYC B3yeMcZGR9arQmJ7u2kvLaJEUEtJGSS/zAjAzwODya0jSur3E52JFvNMN0ZRO0jOzjMQGCrE9z6V Nqd3Ha6wvnR4dVG5g4IAIBH8qk1G+0Vnga3iAukk3mZocjIyMe/+fwfqmmC+v55p9jO+G+8N3CDI 5+v6d6XLyS8rE8zkZ8U0E+o2n2eXeq5dmOAQeuOnNZ+oSiPUruA/PuO3GejDqf0rWsNPgtiREQzy AcsOQOuB/n0rJ1uB49UkuUUGKd2dSRnBPX+tXe7KWhpeGrdViupzC77j5ZYLkkdSPzA6VNrhltkt B5TMCCS21vlJxgAZ46Guc0yRrO/N0wMkajIQHGQcjP1reE6aqLO1SIgRyLv3v2I4xx6Z4rNxfPzd CrrlsYrwO7TKQQRwrIDg+o9//rUtnp1xJfbYA/mHkA9SAc4x616BplzpcElijQSi8jH71ix2OuPm JUnHofrVyabTdS1a1mjIsotxGXG0k55P4gf5zW6TM+Yi8IJEupgrGFJizlEAUnvk55J4rufwrl9G 046Zr8yxSCS2ljLBlOQMY4B+prqaZDPFdZurOW/8uRJZJIsI7bwp64H8OO38qhu7uNrT93E+IxhU JyST159fwrRk0rTpr6S7bz0VwXYlvlHHX8v51Pf6dY/YkEUHmrlm3KxLMDjA6H0NcilFWR0K5yS3 w+1KXVTGxRnQg8AHnk9+tdJEhsNRSQ/Jbs6qQTwM9/r0FMvrvTLO9jvV0uKRWypQnjHA6dM/4VHF q7Ty2xFkkrj7gYkjOe478jH41Scmr8tgaXcmfTnguGunmiJE0iphT8uQAM9zyv8AOudu/NtNXkUb BOkhPy/Lk5zmup/te8v74W6WCsv2jG/Y20AN1yO+DUccq3F0j3traiEtK+DlcbD3YnHI9uKSqyt7 yDlV9ChY3uoS6hAf3rqJlyF+bgHnIyT0BpLz7UXMV/b3LRREvHIu5WXJzjkYI+6APrzVSTU4Zr8w JaxQW7S5G4sTjI75+tb0N1bFhb6dboVfbHOqybmAByWByME5Pr1qZtxaaj/wCkk9GzHSe3Ng6rdz MwkBXbAMkYxjr15xnPaprW6s4ZQ0Mvlxrhisg2MzAfxEjHUde2asm6t7a3uBJah/LbYoWQ4y27a3 uRj9ayoJbY3MovoISFUli7t3H1x61SV73M72JdSN1FbWTXr5aSI+SVO4CLnuB0rIuHmaAOjuRGpR dpwoz1OB9a3L26skgt57dbdoUDphyTsPBwDnAH+NY63+Fby4olbaMs8YYDkA4/8A1+taRVhJaFWx nF9N++aSLa4LSxHoTn1Ht3oF21nc+YFLeWNok53N2ye3btW3qWr3kmg2jQW8UZmQh5IkBORwMke3 P41lm+mW4kYzSeSQqEFRx+H0K04vm1aBX6iC+bUJC/2RwnHzoCeemTgc9fb+tdNbaZHNbktZMSSy MJFIww6jp16c1y16bqGQyxzyIx2/KC2AMdev6V1Vne6neWJEswe5lQtHuYYwQOTQ03a2wtSzbadL ZWskSWIjbejBZX3BlwRkYAxwetQ/2ddQMxtbiJZG4y5GSpJyR+vb1q1a282y5kuGcOyrlGODwP8A A1S1DUE0+9tYrmFWiCgk85IwecdOKKcWxSlbcltLOM2gBmtp/KBdQGVlQZOf05rUF1cyKYZLqHYI WKZbPlYwDj29RWIl1BaylJdyIMsWLbvkYcg45H/16t29zZXJuBDdJGWR8yO+Fx0HHrzUVJtJ3LjG 70L01kiDzIp0jMxxuxtLMRyfxOf0pLa1hsmt/MuCXVxI4YsQ+PvDHpkGubub63a82h2l2lCWyRkA EnA9qsx2dtf6fbeZE8ohL7F8xFwu77xJHXp+dNSaSuHKnsdHeXFtJqqLZpDBGMlE2gEMRzyBn8M1 j3+pRRT26ySQI5bfgq4II4GPfFS2VtANUgnV2nkh7NOjIhK4O7A7Z/SueuNJkvb57iW6g3Sb5MoS T8vGenripbjOV2wV17p0kVvZrdTgGOby9sIVULGLBJ7Hrz/KktrfT4NQS9VvLKxllV17llP07kY/ wqpeWjG4laC4TfPIATsck4QenenD7bfyWSTF5PskQWIGzIC8e/ekpR5dWDTbtY0ZYUW6l/ds7D5g 2fvLnn+Y/CpJfJ8uKFoSVYGVSgHyFsf4U25F7njzMn+5EGYA9sk8Dms2Teb6EzTS5YFSz4Vtowfc Y6U4zhbRg4smmbTJW/0hQhjHlDd8u4dMAfhVq+vYIWlMlsuRjocHkAdfx/SsdIokikSTVdkjxlm8 sc8ntg9Pb/Gr09tNLbLc215IqOmDtfHYk5HJ9O1Umm1YLWWo5byNrkeXEiuy7yS2ce+PqaalyYxe RtbQIkBfajgkDGcZyfpVDSzOkrW9zHJySIpBkq3HIz78Gq/iG5nQi1ik5Y7pM9/b6d6OVPQLlI65 KCpezs9zAcLHjb39fpWppHiIvNFvgQW+fnSMDee3H5muU8x0A3Rbu425xzj2rb0M2iskUgdX8zco bOFI759/6Vcoq2wtzrP3MLyPcBP4g2EAyvHTPXrU6yW02nrKmoKrLIVKHBDD1BA46H1+lYup3dob y5ykxdC0eY13ZIbjoPXtSLqdlPZR2JsmjuIR89yThnxkY57UJQSTJ12O28JyySXKyybcyWoeM8Bm UkZJHbkV1fnleGPIriPBNz52oSRFiRHC2wc4Rdy8D8c/p6V2+PatE01oQ1qeV32Hs0Ez3Dxx5Ygy qofoOeOR3/Gqirbr5kcT3PkiUqJFnABAOP7nv09vepry7EFivmxoRcYJlVQFA4PI9T71Te4SJF3M 3+rUrgZ/HA9a5ErG7ZDc2sPmiOG7hjmjjBKyr5gAHrjHvWhb2QtdOTzTA0t0AUnUeWY1U5ZhnoeR 39KzLt21Ce1MSnJ3DJGOcjGf1qzLbvF5EcMzAuFxngCPdgY6c55J7D61M4uSSuOLSbdia5DSXkoa WSFlX5QE6DngZxxjHI96pXVol29hbzzMzS7octwSMrjjJ5G49+1WBIpfbE7Fd+1ULgFjzgHIIA4b +VWB5El1pjM8jMl0UQ57ALkfmBT2egGLcaRC9hHGbkRus7qu1dxY4X06f/XFRDS4bKeLzb1gyMjZ iTrzkZPY/L0rUO2N4pWCKlvev5gB3BPuY5/4DxmqltBc+W3kSO0qZLK2CGGeoHrnH51d33ArqJZ9 M1BrdML5vOVwUABOffkkfhWeMzT4DofMYlmLHjA+lauqW10bSJ0jSK32B2UKQQ5OD16np+B9s1j3 EJhKRyIY5WIfL55z0x78D8/xqo66iZckghXTHJeNxlgDGDtYgHj68H8hVBAFVQ25iQy7SOnGelbO mQTnRJblridYROrttC7TIBgjt2x3/kanlv47W0ZC93IwkOSFXJBGMZ/OlzO9kCT6l1V2WqQWpW1D IJmKjeAWyoAB9vQ96hubHf8AYY5Fd28pydyeWT83fk9BUga3mS2MtzcQwC3Em0rhSACOoP0/OnWo N5JC0ZYiOIjzG53ZbJ/Dis47jM+50KGaPPmKgCF8j5guOuT+NbsMMtnY20ChN6IqRM6kBlyME/Q8 n2qMxq6tHLAC+CwyOA3+R+tWXR2jhWaEIygbNwO4jcM8cdgen15qnN3SuLl6kN3byadpcsNxNHOu FzhMZzIOcDsBn8qzLqUX08cjRQGMJsEojZtgzxkZ459+/atySGSa1uYXklZm4K7T8g3jHTnpisny blVYSWM7wfM6bXkLAjgZ6YHX86aqOOnUTjcfpk0qbo2IYiSYOVPBC8A8565/lWnpVosl0QVEilCB 5iq3BUntjPIqCy0ycqkbvtjN1KuGJOFbkEj0qU6dOr+XG7uQQBLsKg4D8+4GQK56jVRSSepvFOFm 0ZFwkMnKpEGaWEjPsoBHtzmo9NdLaWVfkYSl41lZsqB8vUY6ZAGavrplx8skkTBwsZJ4Jypx7ZqO 4sZ5EjF6Ujt3uZdjlgpZewOT7D8605o/C2Z2e5I8nlKnmJGCjlSxAjBPGNp78A1SjgQxm1eRVlMd z85+6cvk/lWjY2lxeRLGqwmaALkEiQ7c4GOeOf51EdLlju3Zto3+eAxkUbd2CpI/A/nTTS0Jvd6C 3MarNGgCtvlQZR2Df6rtjHPWmiMyTxQS2ZTYpKEs5YcE8gnrkU8xM0sRLodrxM+X2sQsZV2wff26 CqcdxBMDbQSs5+ZXZMq3HTBz09setJbFPcsXkMtpPHcGJg3zSNI6FiTk4Ht1FZOpRD7NbmHyIt8k uJlwqMBjB9O5/WtGb7TZ6g11FLKFaI7/ADZVCqSAAcE/WoJBDepsNsjb3ch4bgbM4BPTOOgP41UX azE1fQxrS2vobmR7mW3cSAHdvU+nIGfUiupjd3nt3hlRJljXeuWcEHrjBxnjjHrSaffC3tTDJFaS 8r/y0BK5OMHjOSTirc0du8kbYkiESZZcZQ842noep/SnUqXYoxM25iuri/jmkLDY6+WRCy9SQck9 uelZmunZqzKGB4HOccY/+tWvfWpitldXU/Z0RHKdnHOcd+KwddKDUiwXcFRAflJyMA9quDE0Z7xt 95j8w5Ldmyf/ANdWNOaB735pWXLDIcHB5HH6n9KaxQdmUkZcnqRz/hUcCwmTnCynBTJ9wenWtHqg udRqcafbS3miFfNJy2MZyeP1qORra6Ci3dDuzukZwACMcZPXJrP8TSvLrDxlCV80hcHAbp0/X86o 6fIINSRJRHCjSqGLtnuAQR7+v+FZxTcUN2O/8BCW31ySGRSS1qzq3GGG5Pf3H516J+89VHtj/wCv XB+B5Q+sSB8NKLbJOc4GIuh9z/Su/raCsjCWrPK7wN5E0m0ABGywXK4wSufp+YzWRcAi3iuzbxlB 8uTIcnJ4znpjP61r3s09sFFujsXJz8mPwx/Osx/OnlWLb5cMRy5P8WM/y4rnibXJLFTd+akchtZS jCEJ8xJ7kA+hq9AEabyPM8ycsu1CEVlJ7Yz39vQ1ktrD3WqRSLbvBlhlVQlVAz0+tdHBDaIkV+ZI owWUnGC6HOfqOTms5Nac2lykn9noZjiK5vRNbXM3kI4YFnREOeeeMnqRTWaGK98weZNJExKKbhR0 9sD1/WmoLPZcxR7gGkyGVcjgYHHpzTbqW3XY22R5FQZYYXcffg46/pQoW0QN3Eu3S2KuoWPzhyxu wApLEHv60yyv1RZQo8xVIy4uGYHnOQc+wqvNLDNALee2kaPccHeCw56A4xz6YNLHaNLHO8dvFHE4 wY/MweAAe3fk1ajpqJt9C6Ujn1NS8dsytFuTzH3Sfd6AFs9R/nrTJIGv7WOdbGJrl0y7+jbunXpy KjW5kDJL9ngMkfyq5LBuBwTz7/pWaTcrmKVvNXHSQ/dz796IrXUH5Gw0b6foDubj5i5AtUQcnkde xxzTNOlSayMrLEoMi/M8YbjGcZAqHTGgtrG8klkMk4YGLhcAdyeO3PNNOsoLYorwIrdCCPvEY9MV Ci3deZbezLa6gyJdhblYhzHAzY2+vGBxkfXr+FV5bm5UxOt1EkRcxgKcc4/L/wDXVKGcqiwrdRHz DkDarEHGOPy/SnT2dwyp5sx2pJvjxCBhsZzgfStOWzJL8l3cfabtnuH8sEEYU5Pz4wOn0qVtQWXz JDeOJ4YpW8uRSpwQdo/CqdvK32h5Li4Llm3MNgIPcDnp0H5Vqw7ZIDmYBWJG3auCvQg/rUOHUakU dNEgkumF/JLkblLMSFxz19MZprzvDNIjyR+biRWQzjCgjgnn1Y1q22lWOyaGJER5InBZCecg84zi s2EWqN5b3DmV8ozNHgsMHuRk5z6037zuStFYdHb7LiNjMrRrOioFk3nJT5vpzmnwFjAjKu2T7Oir j13sOQfx5qxGkEUZxNKQpyGIHB/Kl2xNNCzXr8EKqKQA3oDgfWpae5SaK813GJowY4RIDuTNweSU 6kAeg9a53xNJMzWMMG3yBCpWNCSoPr6810bhI7narXazIMnLHpnH40TWVpK/nT200rnABd9nHYDJ GacLJpg2zjIllht2bMsTqATtHJyQQOuev8q6Cz15byCNGh3TJEozzzjgk1oTQWNsApsHCmMlshuA D6/XFTWFtaTzstqojRflZfwB/HrWjfPsiNtWZRa6bVJGjuUgDpvLHjAPQZ/Src1vfbFZZXZk4ZU+ XcSCTjueBnik1CJNMuBem6mIVMRmNFPy9uSKq210t4kT+deBhJlC+OOMckD/AGqHB30HzK1yS7sf OuWuJrmEITlQ6kkkAZzkdOf5UJ5giSRLz90xI+RSoQhc8j6Aj8K0hbfvFAOxZAOHkOdwXnjFMt54 ryMIkTSN5qFiSSFDA4b8qz5tNR21KEsEh053eFN8iLvmjYbSud2RxzzWssVvFbiCIzXY8oRswTbj HXJPfg1lm4DbH8t2dFBDLE20LnGR82MVYv7kxyQQNJCPvKctksQxAwCaGm2tQTsQX+oWkFtNZeRJ hmVwA42g5x+HU8H0rM8QNDJqDKcj5V6HA24/+sP0qy8bMLmWRFDIWVCUUdC2cA8k59KNXmmgvEUu kbMgBYqOASev5VrHQnqYcuJj+6BY42Eg8Bcc/hWlFALG0ivJ0zcEnyV6hR3J/EYA6cVsW6WqX8TD MsMkZ+9j5Dkc4wPxqvfXMs7mXyVVPPCx5P3l6YXv7/gaObm0C1jHuJDdI7uiLNJuYuBuzz0/XGar aZvOsW5ZF2owJ29CAR6+3f1q+908M13HPcFHTcsPzZ5Bbp69RRpsZnvrOYIoCzp5oC5UIeTk9uwq 7hod38Ppt2rajFv37IkGSefr+OR+Qr0KuM8FzCW9vCY1RsdiDu6c5HUc12g6VpHYxe55pNDBFBum lJbjJ245qpamSKxliuY0eWU7kGDwueOfxAIq+8JvbhklaLYMNsdsErjBAx3zVW7n3TzPe3EUMCzK wKhuh6g5HTPTGK5JvWyNVaTsZtpazrcN5jwyybtuyOPhRnqT7VZsVYX9zHJbqUj2/ugfv5B4JA4O RWpFCkdy7pcKyiRtwR93uR9eaZcMIbRjK29J3VGwexz1GeOopJOSd0W3ZmfPpjxSSSDdGm87DEOD zkZJzzyKhisEt4wJjMiOC0hK4AH1POeO3rWr9tga18gmRw0W/bsz69M9+P5VmzX+nW9xCs9wZm27 iArDYCRwwBOevb3qVKXwsbiviIreK1kikjKyzMjbkVnwCO5Gc8g1JJaNFI0bB1VcY38/Lgd/rmnJ qum3glS5Y+ZG/wC6RlPJ9uen+FSXAW8W3i+x3Cuxw0ikNheQAQDxilztOzQ1BW0MSYkXJ/egH0B6 1WmglnhlkJJRV3OFOflB5/rWlBpsb3BmlSWMA/dl2oxPYcjPORjNXXu7dGjaLTth8xotgfHRQSfx 3Vr7TVJK5KXcrRWsOnaDcqq71uZEDIVK8dQ27qOetVYtLtpZlLadBswHOJ2JXgMcjI6VqXd7Ctrc QSWq+XE4dWMhySOw7jt9ciqkMz2tyJvIgVlYIokLsJBgED8jz2GaxjzLmkt2zSTTsjGtdMM01xew PH5Vuxl8tOSB2HXrxXR2U1pqFpBl5RdPKVaMrhQoJ6E98c0qag3203Ednaq0qqHHlEAjnjGcdDmq d7rMul2AkjtrcstxvKlcEbgR13HuM1aqyk17v4kOK7li4W3ltp/KMZkt3VH2/wB7AJ7etQRqskSF 44gieYruVGR8mV5Pvin2eu3N5przXSLHHJuLRpHnIRQ2QTz7fXio5bu8uQhkWWSMIBEjW6KB3HP5 /lScpOVrWGkrXuXdI3oI2aJ49qkOWHLNx0yfp+dU72089kZHkUMWbiNQwPmbScemB27Cr1ldPFqU MBLNGSqsrxqpVmQtxgdOlVrjUbifULeC3uhLEXKSMNrYPL8n6cfhWqbd2jN2VkylNa3EU6wG4nmZ kJ3MAuOeDx7U+2sbxLyzMsvmYmB2gYKj+owf1q8Lp7dR9rmVdoSQ8dQQDj9azF1O4W+iBvJmDEnH 3Vb5gAMmjXXQehoS6fPcS7DFauq5K7U6Hrn5ufrnvSxWqxxxmSBn4iIQjdtLE7gCeg4oS5kiWNdg cSRxh3Z253E574GMVRuJ5mWB5ZzEsoYkKzAABsDrnJx+dTfm0Wg9tWWriK7NtI08TRrJaSKUVTtG JAenY496fos8saTM0OzcwG4g7vugdc+lYUt5cx3cTPLcyW/klg6PhRu3EZPfpitPT3Zp7G6eViJI BwznJPfIzzxnt3rRQcdiHJPcTxFczXd2IRDsiRc5GcMT0p8Wm3dp9njsxI1tgu5YgMzen61c1eNJ njjldgqhdwGOcsFBJIPtUbZR2kZcgzTSoCCCMsBj68E9PwpKTk0htWRavI53iSVZFjlSMHbKM7lI A5OfYc06SzntjZ7o1S7lKDaHG0lFJOM/7JqlqMbu0bSs0duYFxvPf69+1VBBc3aWibo5IrdQHzKE PJxnk9O3rzWUovl0f9f8OO75i3fZ03UFtp7s5YDlgoVFPHTvz2/wqzJYreWY2ahG/lxtL5gUAS9c nGODyO3f8KozRLA0ceQwH2jhGB3FSNvPPPB/WrmmmJLDAgOZGbgnOOPX8DWUoy5U09TVNXs0ZN/H PGY3OxWZGBLEneOv4Y6/jU2qaVc39yJ1kjGYwHRz7nFPvrKeE/aUVtiKylXcYA29Rx1470W+oNII 5kZMuh3LISOvPAHJrpU3y3RlbUsQ29np2nPJcSTDev71kHyMwyAQexJHNZC2tvdIZJLra6OnlQiI nIJI9e2B9a0buKW8tJoXmgQDa4CtwcnIyeP71Ms/MSHZFEIpQxjcsoLRsDkZPoRwPwqU7K99Rcup Vk0q3eVo/tLEq0qEqmR8vODzwcGrUEFnZJKxmleQBNuFxvLcgH9TQ0v251uNrOm9nIjGCQwIZRj+ IZ4qrqVsYrSNJ55ES2nbYY17fKRnkYPJNO7dk2Nrsd34K2Nq2pFVdQhZQM8AbunTj6V26quP4vzr gvAbF9U1OQsHDncGOMgEggY/H+Vd8DxXVHYwluePJ5vl2U8kollkky67tzNn2+nNBVZ5pxhZY2+S QpIVYMpALbScADBOcY6VPcRCa5W5iUpKfndFOD83ZfYDPSmpO8Oo3RniJdXZl3LgyR8dCRyTux+Q 9a427u5vHbUms7rfbFlBcYB2uCuflUng9OATircDRSSyrO6lZXUY8vbx0Az9CP8AJrDvLq5OlTyQ /u5/MEhZIyrgEDHB6cDGPaqBu7t4YoTPdK5XkRksQT9PcDj3pqHNG17BezuXtW1CezisjZW4IMHI lI+XBOM5x3rnLm21K7mN1LA/mH5i6A4Qg9SR6V0rxgwxCZJ2NvkFY3Iyu7GMHtTZdPjmmSP7M/2R m2o63JJUnHY59qamojsYGmXhtrqL7QfkSaOUyHnhSSRW5brmKJYp4gkZLFzKpZlLAAkdQM5H1psw tFSCH7BCVmlVGZyxJLL2II47U547eG+kAiQxtbGR44v4iGIAU9ucUOV9bBYYZwixXTyRM0YLYVss eflU8cgYFRW0s0unu0khdlmlw2/PJjBXGavW0ZG1Ynt45llVCVtsgF1BUZP/ANftU1q0MEeIYQsf mEnKAktyOAenTgVNwRh6LLeXMs8d085CpnDnjOKvCZEEccseXQP5XzsN6LuJ6dMHP1x7VcXzlZmW cyDaFeNsAYyOeDj1rKmmkN/EsIjBtWSSInjzFcHcu4nHXPHFD1Y0TXF1BDDcSQ24ke3Me0NM7D5g rfNzzwT/AJFZcl+NUtVgNiCzykOkQOSpOAQeuRz14rYNnsjjtnTKovnHc2CSS22PPsOfx7VWuZGt bN5FCwRM8eUTaGxg7gCDk5AH50426Aye1sbuwsBFHPE3lGTPmc4Vgo6D8cikfbcq8kgglWNWbMIz sKr8oPueBg+tR2d8moxsyJ5Lx4yATlh0B9/fH17mp4m8pJLiW2USphlZVZd2WC4I4z6+vFS2767h 6FmKOWG8hmmGMNC3XJ3CMhh1/wA81B5+orHbqtpcGNZdzrsA4HTkE45AoghRtWiLRxl1baXYfeZg SfoOcU2KVLdJTEmnNFJI0TAI+4kfMcD2GD+dCbQD4IpRIHkgJYPEitIRwoDc5B6dPasvV5322hlk /fAvIc84Xdwc+hxV+4NmiQSRQwHghysbvhwc8HoB3xWNqVxLK0LOU3SKBgJjaMDHH4dPetIK7uJ6 aGna6xI2rfZWgeaNJ1DM5+UYOFxzxz+tOa+ge8hC2yIWEkCJnJUEkg8574/CpNIspdPlvbgeYXYF hGEyrlmAU/rmmaxCunCO8giaOQSONkhzyMAH8un0FOPLzaCd7EM8MNvaSLCHCsySFFIG35TkdOAS ufx9Khj1NEvo1dQVjA/eDrjDY6e55+lNttQku5F3RZyFCrGCvAPU44/vfmOlVtVikjdIzGyb0Qtj gDjrz+FbaXIXY62eSC4VlYyOzRAKANrMyMG4yMUyYLcxt5UboodZGCxh2w/zng+/HFRW6NcadY3J yH8o5b8AD/n2p0Sw/YlklPmhkQHggApnr0ODkdK5WrM1TM7Wri5P2ZCD5cUJIRkAKZPoOlTWKn+z IZ1xE8jncmAM4YYOTyMcHFRahPJbJbxW9tAS4YjEWcfMfWr2nte3Ebl44rePGxUxwDnO7BHU809o qwuuo67aGKdkEkRlWaVyolxsyMHIAPqTSaY1tFpBSF/OVncOysEwFxx82PXmpUjSe4TzLtEDucu4 QHPvgZqa4Sx07Tytm6yxMrrl135bAIyB9P1qbaDvqV7udZra6ChZIvK24jlRgcgg4wc9T3qhf6dc Sw28sAQCGMclsEZ9PU8USXSNYERKXmkHllY4iAuXzk4HAxkVoXcko5VENoEHmqwAZcZ+YZ64yR+N XGLitCW7soWd5NfW0ls8W2UjBePrgHoQTgfX0qSONWnicTGWOYmCR8Fdx6q3PscZ9qS3tHt7u7tJ 4lkleMvt3YBIYY9KdC7xSCS4tJ2wAFHk4VO2AP8APSk12H6k0qIyb7d1yz/NG11GAW/LrUGqqk1j Ogjfd5sRDOQwY7DkjAHHNOkWWKJHjSWGV94UeSg6AE5H0zTJrq6bTbiWVvLVzHIgIBbbtx07dP50 ktUwOt+HsPlz353YIWMtGGBVSc9P++a6i9kKXJGwNkA5rmvh9M8s+q7kdAvkhQQMfxkkHvyTXW3M e6UHn7o7f/Xrtic8tzzxikZhENxF5ofOGBI6HHb1xVZ70TYWaa3DGUeYFDHHHQ5HHOKSW5jtkjil uyHjdDIUOScZznnj8DUUWs2aywgF2YBow7AgEnHXjPb1rhULu50c2hP5lt9imeFo4IWiAbYAobqB ye/FZeoXkxYXEdnczK2W3G42c4AIAU/T8+9P1Rl/s67MtzEHkVGRFcHpI5HHHBBH5VTuvEMUcjvb TSuzxEbTnAyeuR3wTwelaKDvoK+hpwu0+jiSdPImIl3clip3r6/n1p8UheVZA32ceesgjZ8MyAdP bNVY9QutQ02wuGiVZ181QV464y3PcDP+FNe+hjNuL7d5ioGkfyA7Nux8pz0wOves+RvQal3LHkFr 2BfKVVFxA4AG7b1B49Pu8+9Umnt47W3md3aZ4ZIN6KAR+8/pg4+tW/tlrc7ds+5y+VkTCSIOMfXk dCKjvLOOae1tZ3ecQJkkAKeTkZ9ewPXvVJdwv2I9gklf7PHI6T+XIBv2su0EZz0yMH9ParMIa5Ea IxCTRNukJ+62S2SenHB/Omx2jwLFtgaQtbbTL5ypyHJxhsf5NLF8m6BZo4Dnc2ycSNIcHAPZRzzm lfsFiwtsW+0MA0hZcIV2hGAGeo/Hqe/aqjweYQn2Url/JJLj7xxgH2561a063ikuboQC2iaUSbyJ y5Hy8DGfl/8A1U4mQXKM8spCPvAMgwfmyQR+lS3qPTYobo5LqWBFIEJVi5fG4leuPT5iKkjtRcSm 2lKkFvlIxgn0PpTjbslzcMI1VWiQIVIJ75H5miC3BuSwEiOnOcEAn+tVfURDbaPCo+XdmUkjgEHG ew6dO4qxDALNDK7tHGWAClsZOMDgD04qFXvLWYB2V4M8kDJGQRkgHjvUqO7AiSNVQEsAXB3AYPHH Pp+NOT7ibt6lyKGMXaM8z8GNogZSAxJxjtk8H9PWstxcSq0r3N0bdSVAij5PPqBxgE+vat55DKsV z5dv5m8IqySAMvIzjv0GaxLv7I8jiOAlRKySBJGCgk8cA9zn8frSa8hhHbyLpvyPqAQSlfnc7uR/ u/zrR0yx0u5tba6nmWe/iYDY0hznPHB7dKokQJb3NlLGjKsyqgmZiOR2INUdRjtorIhfJiuxKB+6 lkzgMARkn+VEVdNdxvub9022fUfMifeARsSfoNw6KOnb6Vj3Qtp3jISOSFxkrNcuDwCcYx9elMhv mijJR5CrwgGZIfmIKrzuJ6DB9OPfmpILHyXitkMrykM/mLESrBgMc9OhPX/CpguVWb/qw5avQatn pUc8LuRF5i/JHvPlsMkDnGR/jTr77Mb6zjaGF4pI8FkdiFHODnOD+NNubESWcUix3UMse9AsURPB OQT+f51leIY/Lt7BYhIsYiKfvBg/KfzrWDu1qQ9jYkigk8PWjSXCw+XOdxAJH3mGDt6cVbLWpujG TDHEr7WDLLk8+5/WsbTMz+G7iPk7SxGec81oWsF7bmBHM5i/egpnBwUGOD2yDilJW6jRa3Qy2jhl hBVGw4hyACfRvrVQS2zWk0ETLJmIyB/I2bQPTHWrUCXyQoFRkDKYiks/zbsgg5Hfg9qSWMrDONv2 gMjKrSTB3AxyAABWa3Gxh8mHUJAFHlRBtqOoUZxu+917ZqzbuzwkRpGqByM5OCD3B6k8DvULbnur mF4GZWMYBAAIBIBP5E1ZtY0isXdFC7JsBVLEDAOMhuvrxQ/hBbkN8zfZlXAjO5FcjJAGQcfr1q1c BHtpoBIryum113ACNP7xz64/Wq9zve4CHktICiZyCBkdfzP5VDqzBZY1jtYpHlY7Q43HgDHHtVx+ FEvciuX89btglqGddyOJCGBJ5G0nj8qjVvtGnwys1wJFXbIIX6cnJ75JPb3pktsYrS5lFp5V0oyC ASDyPqAfwzVOHzIiI/PZZpCflDFSrdiapJNC6mouVna3haZY451VZHXOVkAGQx5yMfrTNSV5ba4k SaUiJQGjYqFcKeo4yD071KS1lM+xVmjyjyLLI7N8xBVhnAAyTx/Km38kMSXVukcbBkdd0jFSOewx z0HfPFZxvdMvodh8P8CG8UkblEYYAdPvnv164/Cujv8Ab5y7vMzt/hXI6muX+HIC292gUqBHBgNj 0buOtduURjll5rticz3PGG8PedK0jTiQFSXIlTjjjPzZqw+n6XHEqxzs6Fl/dEggN0wMLmrckhhm SXz32srMFKKBwTk5/Lio7qYtLDLEkgCAMUQBQ3P1965nzGysZ13Z2jrcRC2fyoFO9hN8y46446da tLYWTxKY7NNo2upAGT+lOksz/pUzK8YmdwyllK8gnHHoR+Oau2YykW4YUL0HTr0qefTQdtSNbhvI gjezi5nkjKu3GzAH06fpWbcWRmiMyT3chcttITd82cLxnvkYrTktf3iF23IqlmLkAH5X46/jVK3E ZkiDu8chQsFRSRtycHrwcE8Ur63HbQoeRvUIm2RXXdHIMbif4gfQjI/OrcTzxx2/7zD7SueCCwPH J6ZqP7SyzssMbufPMjIwAIDDGOM/nU7AQW85WGWbLZCghduR79P/AK9VuIZLeyTRKjO6Sxx/Mq4O SSe4Hpjoe9Is8jR5MYnjbrmIhj7cgfn0qrFcW8O0pDJ5/wAoIl5OM84z/Snvcyzh3F4F2FgyqgDD jPQg56Z9aOULs0rSD7JGr7smQZ+baXAyMgkdarSRoVAljiLyglmDksAfQDpxzyMc1dsr9z5qpscx 25j3GP5lbnPse351nzsVdT5oVGIOcrGuCo/iY8j6Cs9bh12FDoYPJ8zYQoI3Nhy2eMkcYx2FXZvt CxGCNdjFSwmboBknt1IGOlcp4jspG1c4l8uPy1KKcN1wT0z3JP40sM+q6bK4nRrjcAEBfI9PWtlF ct0LU6WMolqElmSaYjBBTK9cg/WkEdtDCySIGlMm5CEPBznaDn1zx/k59prTvLJC9skUh4jJHBP1 PTtU9vci5hR5o2IJLOinnI5PPtjP4VNnf3hlqK1ika2lmYmVXOD825AOcnHHoOaomzlW6nuYLZ5o 5nZZY1bBRkfg8ZPVVaryapPGziK1QwMMhlYsx9c5GM4B/IVZne1iluU2OQscrM3HGZMHn8fy60Td rWCPW5QtDc3Cz+bpjBzEGywbl0A29cZ6Cue1G0vlvHubmORkj2+Y2BxkcexBz2rpLm9tYftN0sLk l3t2BbAOAFz+n6U6IQ3enGWS0lCPtQZPGF6H29KUW462G9WUrq7stIaFYbG7KSQgESuyYyMcDHTA 6ipLi6eBlnECxStLDgeaSpUoTg9gPlFXruOLVb1mvBGI4UCICz7sbc9j05pqR+ZcRxkQPBiM9GBx tJXknms46RXNuVLV6FQW5jnbynHnsBls/Kd3JDHrgAgYOPXNJq+mx3dvbIsxQqjFY7eMuCCQc4Pr n9fbNaMqpDdOkFuglY58yQ8E5wev4/lVWW/2XstpOluWRS0ZUEhwODnHsOntVxfM7ol6bkNhpn9l WtzCkzM3lLKCR0yOmKvXDpJe+XLHbuTKY/uuTyC3POOmT+FP09mjn8144wvkRMIguP4Rwfbis/Ur +9uVtRZpFFIR5jShc7m2YPrjGP1FLVsL26FiOSKKJ7q1edYTOpYCMN8uDnHfHv8ASmiFrZCzzIWj SQKyljg45IwMen5VjXupajb2oWGRSqsu4rGpC8HOfSm2/iPURDLaLsPnSDNyyfMnTj0qnCW8dQTX U1bma4knZA8h2rE64GAwK5yePb69KkiuJW0m5ZzPKxlUDy2LE8HIww6VnjVri3vN0js6gbMlVGNu AxP4A8ds1swX0q6Xc3AvUDQYIU4JY+nbpj9acvdgtBR1kNNwZrmCGe3NvO0xb5zlgMMePQZGOPWq kN2Z9XO+znVVllxJ0GCSR26fjUGnahcX+uedcv5hZeRgDjHUAcdxT9PuoxZW6ZJluSJCd247ePyz uH5UcrUfe3G2ubQvQadv0t9sCNI0fmSeYpDDkHnn/wCvWVomlTC5kncMsX2Z9sjk/MfugA8c5NbG sZsdPuPs0jozjaWTHQk5zgdOlcraTTf2JAZZZpCkyOFyMKGOCBnHf3/rShzyT7CqWsktzpmtJmSS eUg+dDGoXcFDYI5B/A/5zUV3CJZ7oJMqK6YCk8A+YTkn6HtUEEr3G9GmYFABlhgdemOw/wAfWmJZ zXFw2LhlgbGcH5ify4HHSkk72C+h2vw5YGK/jLxboxEv7ti39/kn867nA/vCuA+GCp5Wr7UKkTqC T34P/wBeu/212R2MJbnl9xGPs7iFUkkHzFCcYz78f0p8ttCUi2WkY24BdiSqgbT6j1Pr0NQXETzT SBGdXKoxI6EA4OffjP0qN3NyFtQ5RoWI+c/fHQ9sCuL3kzoViVrRWhMSMAqkrt3EnOO5NZdpqkGU hDKuQB7d81pjZHKu9jvkYBflPTgc8cZ/xrEPhsxALPcQxlj1yTyMen1B/Gqum7NhY2JbgSQ7rRhI 0OwsIyM4+YH8cH9KrqGtlmEbMfJjaSWVvvfLztx3HXj3+lOsrJNMs44CItqXQZpRuBI6cnHQEfrT rNGlvoTPFN5gk3GRQcN6ZyMHgY61De7BXIpdptJhIgDtEXcY6sACOfTdx65NQTqiMqQRFyY496tn DEZwM/8AfPNRtrlhIjpIzZO1l83kOeeCAM/yrFuNdvppUbcjRk/KMfL+VaQiwZsTWKxS7mcSx8lX K42jsfbmqzwTvdJHJb+YepdOjfgMEd/r702C8ku7VnCMXjZWCPJ8rDJz2/Dk1Kt80US3H2CNXQ9Q 7EqpGRznBOc/SnqLQu2IDXkpKmMvMRjGf4VH9DTUguL5XUQKVxGtvI6hggKZJGc55Hr69KfockU1 0ssuTAMmJ93zNgEjI+vf3qniFnjNrbXbbVOV+07RkZOMHjpg8VDWo0xl3ayXF550kqr5NvEjgpnc e/Qe2OO9ZMFy9y88UVgsgQfOwYoVHr7AYrorGFf7QeFVnWJ7YsWLeZkEHGfQg5/IetZdmn2VoFXz D9sYyN8gIKk7dpH5n8q0hZ6Ey01KwsLmUiaWKVIoxuxn5m69PxrY07MWlq058kbX3EtgqDuUc/Qg 1MZC1tG3zAhecqDye3+eKxtRvg1kbGI7jLxncckeuTk0J8w32JjrFpb3+bUNPbiQKUCABxzkbj04 PrWnLeNcXUjJGiIoMiGFgXVWGdrq33s8VyNrYXca+SkUsuMDDjGRngGr+rW93bXTCWF42Co2Djdj aMjGexxxUuKc99RptROguLZr6zht3MYM8pkZlUKSAMlipxzkHpxUsHmKLZhcTxoJFTbIihZEORgD J46c++apQyrcjT7mMNKI9scmWywO1lJx6c9qLm+s7KHyVn86VIFiKqMqjEkuc+uOKmzeg/Mv4e4N rM/lqpYFySAX+XA49Pu/nTmgEhErmMJiIkiQgowXaegOevf2pkn2ctb28E63BYJIBvGVwCCFI/iB AJ7GljLvFKqAFnQsAcg4Ei4PtwM+9QndXG1Z2LBu4YYXZpFdc4aQl++SMDae9Z2VudTku51tp0UK pwHynXnoOtV9W1wRJcWMfniZZWABPAGT7elVdClm/tfc4nbOGclwA/u2eoq407RchOV9DoLdBGs7 mfzCHl3DGduG+774BrnPt1vEsdu9tIzJPvBSTGWwODx0PPH0ro7NJUikQkK6eaGAIILZTnj8a5S5 t7sSiaWItvwqFu5PTn8PyFXBJ7iZqzakl1oUlqInic3RlcKCwYMGIwevY5HTis83CM8dsI5kiRFx GSAGxg5z9R3q7biceG5oZbcmaW8VQoU/Ko3ZIzx7VmwrL5wEhaOIIAHxgkAdOOetOCWtjOLtctC1 lkeSeCFtjkkKBlgSMEjj3rWhthcaRfy3yiJkRSqtgbiOO3uP5Vk6cTaXBlguVJeMkIylvlz6Hp/O tq3upryw1BbjGFt0k2LHtwdx/unrx1p1L8ujtsNNJ3Zn6VDJDd5lZ4/9GMyLnOAMZH6+veoLS2hS 7N0wABx8ik4yMHj05x+dXrKe7kvxBdweWpiZY2LAllOOB7cD8qpWZddzAr94cHOeAOfyonoNGtrU sn9k3cSvkIhWTdzuYE9Pbk/j9KwdO2HTIIcRhvN+USHlCrAg8/n+HbPOo+ZkVpH+V2y24Y+o/WoX VmZxsBTPzPnv9BUqfLoDVxskk29ykscjOoB+bIxz1OeewqBJ7iCAQ2jOyJuCuSc45AAPrwPyqjcv Is0GGdk+YFs464I5p03/AB4uQZuHZCI264PbP4/nTtfULHqHw4RfJ1aRWDB7kEEHtgn+tdxXE/Di Iw2F6CQSZFJPGckZ6Diu1zXRHYxlueFXPiW9lVYYFSNSOpXdk8c1a0e6e9ml8/DGIAMg43Dnkc8d unpWetpbxucRBlB4BYmtWyH2WF1hgRBtGXUDOOe5/wA81zyatoaruaNrMJpsShUdSNrfe+XsPbpT pVje1iiWZJZGkLDEpH4Dn2/Sqkl9wx3qG2nJzg9DzXJXcjC7kaWRg29uC+AM8cfn3qIw5mUpp7HY 6jtTSJFkyV+17GYpn5S3r+NZOnlzrMCrdwtEHjK+bPtcjcMjZ6+3vVNr5tQspLSATeQSjumdvOeW +uBVDStO+13zq5EPlEs0hGcYIwB360Rg0mpMptXVizPaJFIIp5YpJGJJEJ3bPqf6VS+zCSVUUkKz ghs8DkDJrpZ5YLaaON7y1ScsMuVbec/pn6f1qK8uY1s4Z7cwSEgRySMq7i3YEc4475+tWpsRSDxy 23lq8TNhiNin5V256Y4x/SiKe0BYo8vlELuCE88+hPGcY/Gl1LVvOVvsly6iUcr5eMA9s45HX0p2 hQXCx3MgjlCs8e1l4LgZzjHbJHWi9ldisGmalC+pQ20UJh3yFVwSDkj/APVW1Ogs9kcsNxJsDxJh wWJYEEAA/Ss2DT0v9ZglhaJbnzCHjZwAcdwO3c4qnbeIXfUjBcGOKLeU81RnyiOM8/Q81MlzO6BO zsX4L1oCl2ySRQR2nlp5rjLfMRkjJx39+tZq6zBaT2MZdJoIo+CEOQ+5mwc8/wB386brUzpJFasG CJEQo3hgcsxByPXPf/8AXBp2mJcxR3E8mV3EKirySD+HHNXFJK7E9SS81Z7uAWlrA6lh8zJn5vb+ lWdF8PXEM0d5dW6vENu1S4HzMQR/P8zWtpWkW9pqqN+98tlOPmxswR3GMjmtxEeO4BDttaQBlznj kDHHTgVlOpZWiXGPczLrUY7a/jtbhWExVXADkjHYj8aq67ZSXOrRy+dH+7O7d5uQzFF6e3ArP8Qm Y+I18pPOZYQeeq59eeTWleW7RWkEFwYwDGriN2KlegOSCD3zUqMYyi77opttM5otHaSuFeXg4bYu cdsjn9aQbXJkWBCPVmbcSecEZBNWbyzjUyzCYGQghVRuABnHfPYfjUS3EW4RsCQAHDkA8YGe+Sc5 HrXTcyGujx21rJbLJHMhIOOq4bI684q5ca4ZBM8ccbM64kb5gT0PTdgdPSoNSLwmF0B9VLHBxnNQ RwRTqEjKxFl37TuGMc9eh496Wj1YFptcd7nE2koJ25dzGCcE8dfz4pW1WdoRNJbWhKKEQtEMqB0H P481Fco1z5cshk34KDyVwR7nmo79Vl0/ylJJV8sjOucYPoeemaEoj1NrSNYkublknSIEoXDqu3kl c5x70y7WPfuUhrlE3RRHlNi8b8eo9D6E1haZ5kfmGIZkWFeF6ld6Z6+2a1pZHmKz4QTbJ14zjaFJ wR06k1Dik9BiJqV2+k3MUzkm5IcybSWYAnA9h9PWs4JA8BWScqQcrx0bJ/WlsDJLE82RviTCruPP zenSlu989zFH9kSMhSrktnnIOT61aSWxFkiG0t5r2+NvaSZkIOGDcD2P412Gn6dNDFOS7OHhyhCE eYqkbsEgAj1xWNoEaJqsrpK0bgmMMnGDgHPHTr1ro1knlvbmzmObeGBmgkdufmIZuevJ9acvhYpO xiQWtxb6lHcG5M4d9oQkkoADjH50yaEW1zcqIww80kEDOQeg4571Ovm2oiOCx3qF5x6/4VPfXQsZ Y7mNAxVclM5HJ54qZtyKSS0KkAeNHimRix+dcLnGD6/jUzSxqpWRQC7EK+Mg/wCFVLvXnupYAHEe 75Jgqkbs/h7VQM0gU8O6ggjP8ueaOVvcNibULttNeFYgjCUYck5xjH5dT+VZyC1nuo5WX5052qo9 x1z71K0Ejr9nbDlvm7jH/wBaq8Xk+X5ZnYyjnai5XntVKKQXPW/AYW1sr5I2UlZE3ZJJPy1132o+ 35f/AF64P4fw+VY3kgk8wNIi5HUYQdfzrsd1JyaOao9Tx5GxgkHI6VYl1KOCNooIJiwQb2CBh9Bm iioR0IyhqLR7mNrI+BhtwwR69qu7ligkuG09iFz5hZQeB3AJHpRRVoGRXF1Bd212yblQxABMYPBG ckHPeq1qjXt45uXkjSFQdyjBYbgB39SKKKb2BD7jTn1HXr1WnYNG7Dc74+mOCf0qxcWcdto0wjVx ODHK7NjBHIx+Gf1oorNt2QyKPQVP7xrj7mAQoPPOcYqrDc6hPdmG3c7FIRFUY2L0z9e/1ooq0DL6 aLDBIs900kjoVO7dtHX1681S1fSjPqdx9ktMAsWKJztz2Pf/APXRRU3dwsriWmkSTTpHe+ZFbkBm kZWycEAdRnqVretbEWUB+yWwnVczCWXLEYHIAAween0ooqJyY4mhZfa/ttvHdt84Rxu2gZGVI6D3 5+tW5ri3siJ7t2hUtuDS47HGO57Z9KKKyW5oc5ql3bXmsyPZTCYeWMmMZ5BPUkYxVPXta8++E20k mIKY0f5QAcE/XHr/ACoorojBOUbmfM0nYz31OB2XyLQIy4KOcHB60jXt3HdPLcZkZUwrKg45HQng df8ACiitbIVzSWCSWOCVzNIWBIVF3bRtGM+1MXTJ2aNikiAtncw6fXPHfpRRU9AQy2EupxsbeVba OEjeC4GeeoJ/l71Xuzcwr5ksKCIHaq5DA5UjJPc9aKKSSHcfpcsFtdlSdjOhXDElcbh0PYcd6s3t 1OEeCGRJYWLkoOCoJPqM8+1FFEl7wXM7TG8ppUJwjDLZ57jp3FPESuyyefncuOOD16+neiimyS9p UyLczpHbq8Mn3iTgnI9vXNb9s2m6fdTecBAjxGONlLOwHXByf88UUVE9glsQWEiXszzMMRJlffJH Jz/Kp541klt4wgJGfMXHVSDgn/vn9aKKfUGQtpMcl7EjxERb1G5UyQPbjt/Wsy+0gQTSeVJM9vv2 K3lkbQDjJIA5xRRUKT5yvskmnzW8UOoK2ZfJ3FZAM8DgDnrnrWK4jfYI0Dgk8EDn/OKKK2XUR6v4 Ej36JOUXnz8tz32LXSPA24/Kfzooo5U3qc1Tc//Z