PDA

View Full Version : [SOLVED:] Non-VBA question for Conditional Formatting



garyj
08-25-2023, 08:28 PM
Hello and thanks for any help...

I realize this is normally used for VBA, and I have at one time been more involved in VBA on this forum, but today my question is just excel based. Excel's conditional formatting normally works, but I am struggling to make the third format rule work.

I have a date column, the date for which the next Criminal Record Check is due. It is in a table, column N, "Next Ck Due".
I want 3 conditional formats, so that

When the due date is 6 months away or less the date will be bold, green.
When the due date is 1 month away or less the date will be bold, dark yellow.
When the due date is past the date will be bold, red.


Here is what I did... see image.
The 6 mos away does not work. The other two work fine. Any ideas what I did wrong?

Thanks..
Gary

31009

http://www.vbaexpress.com/forum/image/png;base64,iVBORw0KGgoAAAANSUhEUgAABBcAAAFvCAYAAAAR9SM6AAAAAXNSR0IArs4c6QAA AARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAGH7SURBVHhe7d0LfFXlnej9fwJ ShbaEqxZQQBIuIdjqHFAS0DJ tCShb2OPcqbtW2k7NdFzZkyYA djPdhpK8f2DHzGxHaOJPa0Ym8z0VbakgSl1hsJCm 1HWKEJCgXoXKHsaCl4n7Xf 1n7b322vdLLjv79/WzZN32s5691sra6/mv53lW3tmzZ30W0UG967sm/fPrnoootk5MiRcskll8ioUaNkxIgR9nIAAAAAAJAb/vKXv8jZs2fl3Llz9qDT06ZNs2MFeXl5weFPf/qTHVz44IMP5OjRo/L222/L5MmTZcKECSYpAAAAAAAAkWPHjsmhQ4fksssus4dAcOGdd96xgwtHjhyxoxFTpkyRD33oQ ZjAAAAAAAAQX/ 85/lrbfekiuvvDIQXMjXwII2hdAaCwQWAAAAAABALBo30PiBxhI0pqBD/oEDB R3v/udjB8/nsACAAAAAACIS MHO3fuFI0p6JD/0Y9 VC699FI76gAAAAAAAJCISZMm2S AuPzyyyX/5MmT9gQAAAAAAECi9A2Tp0 ftl8Qkf nP/2J4AIAAAAAAEiKBhf0xRB2nwvvv/8 wQUAAAAAAJAUjSVoTEHlX7hwQS666CJ7AgAAAAAAIBEjRowQjSnYNRfMPAAAAAAAgJTka8cLAAA AAAAAydKYAjUXAAAAAABD1quvvio/ clP5Ic//KE9bNmyRfSlBtnu3/7t3 TNN980U9HpOs3NzWaqbw27/fbbvzFlyhQzmbjdu3fLr371K/tgOcMll1wi48ePN2v0jR/84AeB7Tz11FPywgsvyNVXX22WhvvXf/1X6e3tldmzZ5s5feuPf/yjPP7443LZZZfJRz7yETM3KNJ 0yHa oPdiyKM8880yf5t/Zp nus02bNsmxY8dk6tSpZk5maLodHR0x8 OsE tcBQAAAJBZv/3tb Xaa6 VxYsXy TJk6Wrq0vOnDkjV155pVkjO2lHitva2 WjVvljzJgxZm4oDSzoOguvuy7qOpnw1ltvycc 9rHUggtaUOru7pavfOUrdmFJBy1Y6bzCwkKzVt/QQuXll19uBxd0W 7C2s6dO 3CbklJiZkj9nh/BRaURsE0mFFUVBSxoHn8 HE5ePBgyL7TYbAFFqIFSdzBHaUF9b7Ov7NPy8vL5frrr7e3p/NefvllezxRGtjRV6VkOrig6b777ruSl5cXMW1drn9wf/nLX5LKLwAAAID0XHXVVTJ27FgZNmyYXWbRzgcPHTokc fONWtkJw0WaGAhWoDBCSwsKiuT6dOnm7l9Q8s6Wm5MulmEFt7fe 89u3DsppGKT33qU2YK6FsaeVRacB8M9ILV09NjpkLt379fLr74YjMFAAAAYKDoQ0q9dx8KNGigw QMNIribSPRnYMEtb vWrb7rrrvOTManT65LS0vj1gbQQp9WA3foAayqqjJTYjdpcGjkSGk1FW AQrfnmDdvnuzatSuwfa2psHfvXvmbv/kbuzbFyZMnzZrB7TnbcafrXdf9fZx86zx3/t3BFH2q39bWZqZC8 0s06fsGnDxctL3BmfcEsmfsy c7 kcFyfP oRe94sGg5xCr3f/upcpZzve crZnpt R61S5P4 iRxX7/7zHlevaPtUv7MzT/N84sSJkHPMfX4o3a/jxo0LBCaU /zy5tN9HJz9GYmTrn7fGTNmyPz5882SYN6d7 g 7t7j7F2maep3ctbR2jDuvOu dvax8u4f93LNv34/7z7ypuHOgzYp0u/jHPdo5zQAAACQDbQ2tJYbPvOZzwyZAINyBxNUfwcWXnrpJbuGdlI1F5ynxJEKgG5aqNMCpxZGtL DiFFi0wOSmhRo9qLpc19VpZxtKC35aoHLScBeCvLTApAU4LUTpuu4ClJsWmLRav5OmUyB3b1fpt LOO5tFdaP73f//3kO m dLvnAmJ5k 3qcvd39Mp5OugnIKzTkfav1rQdNbXfaefV1qA1fWV8z21wOykq3nS8WgFTd1OrOOqhe1Ej2s0ej x0G kUdnX/6Pd28nHq1Cn7YqM0ffdx0IJ5PLqO97voBUzne5uN6P7Q4IE7fe/fhwZ49G9Nl s 12kNVijnX fzuj ff/55e57S76F5cZZ/4hOfCAsY6XfU5hzuNPT8c9PAgnMOEFgAAABAtnICC1rWGUqBBeWuwTAQNRYcSTeL0MJ7PPq0WAt t7sKIdqKhT2CdQpHSg o85dV1dVo73FN64HXa/aRW00iHEwBwP53WwpsW7LTqupt7W7pcC54O/bz7u lybSqSDC3YOoNTqEw1fw7d5w79jHL2n ZXj90777xjTyt3YMI5Du7jk6q Oq4alHD2maYRLYCUCM2H7iN3LQN9Su8EB7TQ7T7X3fmNRtfRc9wdSNH0IvXDoMfVnaau4z2HNH9 OIE//1fxoeyal 9V9nmj/I fOnTNT/sCEBiQcznnk0OOseXPvQ82PpuHOvwYc3Oc6AAAAkG3Onz9v99e2YMGCPu8jMJclHVxwF2Ci0XW8 nUQ6hVutRu/QJ8NuOu2kr//qk123dAs5WniL1EumFlS1MOnm3pY dfZ b33q6xR0tZCWyH5xc54W6 AU8FLNn8P9dFzb HsDQTrPW4B1voMOyn18UtVXx9V5gq6FZA1gpUPzocfN/f3dzT60MK4FdGe/JErz5gSCnGCREyDw0kK8s22tNeI9h IdPw0QOJ93mpnoPCdA5N2uOz3nODufdwYv ooAAABAttMa2xpgyPZOHKNxN4twajC4 2DoL0kFF0aPHm3/m4mn29nMKYQ5wQH3E FsoQVf/R5OEwcdsoXzxF5rH6TD3TTDGZx FbRgrtO6ju4nb5OFaLQ3Wqf2g/6rtSEi0eCUuxmLu5ZBIvS7O/1Q6Of132RpsMHZvnuIFgwBAAAAspE 3NQHmtqZ41Dj7bzR3USiPwMMPp8vueCCHhB9iq5VSmLRQotTfduhAQl9MusEKOLRNDTC5Oaurp0 KfQrrbt7g0Krs3qft0WgeNG/uKuneWgWpykT EqVpasHZKUj2V8AoU8dVC 3uPgQi1crwTrtFykck2lRAC 7e5g7ROH8jGozQz7ibXbjpcXYHFNzNVRKheXc3PXLXOHHmefPr/r76d6h/j7keKAQAAMDQN2LECFm6dKl8 MMfNnOGBm9gwTFQAYakm0VoFX4tNHmf5GohRZ/GKqeHeXfBRQMS oTfKfjEo21hdDvujhJ///vfm7HIIjVfcHMKek4 lRbA9AmzPnFOlLtQpvnTfGZCpvKXKHdh0xswilRoVVooT7Yg7JbKcY1E95XmxdlX2gxHj4uTrh4 fbweGbk4 3LUfdF87n3cfA0eigTE9zzVtDd7E4vRDodxNMhLlPu 8 1Dz4J7nPU dIIi7E0gV6XsDAAAA2UybRDzzzDMh98PZLlpgwTEQAYakgwtKq07rk3SnnbYOWkXbeZqvBT99qu rugE/Xdz/tj0cLP/pkVwtdTho33HCDWRqZPoXXAqeuG60au1Z716fGTppaNV2fTCca9NBtaMHN W56gmayWUS6 UuUHgvNu7OdSFXh9Xvp9nW5Q c5xySVp96xjmuihXeHvgFBAy9acNZ09Zxz0tVCs7uDSy9dX/er06 CDvpdnQCP1kZx5uux1jwnegycwEeszmKctzc420i2WYR2gqnf3fm8puemx1drczjL9VhrsMNdA0 YDhe51dNCAAwAAADCUaHOIAwcOpFR Gay0DBQtsOBwAgw7duwwc/pW3tatW33XXXedmQT6n/6RawFeg1boO1orQYMeibz5AgAAAAAS8dJLL9kPO1OquQBkktYyyGTtD4TTyKbWdODVOwAAAAD6A jUX0K cWgpuWl2fp mZpbUUNJjgRs0QAAAAAJnm1FwguAAAAAAAAFISaBYR6dWHAAAAAAAA8WhM4eDBg5I/ZswYMwsAAAAAACBxGlO4/PLL6dARAAAAAACkh ACAAAAAABIC8EFAAAAAACQlnyfz2dGAQAAAAAAkqNxBWouAAAAAACAtBBcAAAAAAAAaSG4AAAAA AAA0pL39NNP xYsWGAmAQAAAAAAErNz5075 Mc/Ts0FAAAAAACQHoILAAAAAAAgJfqmCN4WAQAAAAAA0kZwAQAAAAAApIXgAgAAAAAASAvBBQAAAAA AkBaCCwAAAAAAIC0EFwAAAAAAQFrynn76ad CBQvMJDD4bX3mRTMGDD033bjYjAEAAACD344dO TjH/84wQVkHw0u3PrZZWYKGDqe MVmggsAAADIKgQXkLUILmCgnTlzRg4dOiQXLlwwc1I3bNgwmTx5sowePZrgAgAAALIOwQVkLSe4 8P2dp Wr8wvMXKD/dHV1ybRp0 Tiiy82c1L33nvvyb59 6S4uJjgAgAAALKOE1zIQIeOW6Wu4GZ5 A0z2R 21klBQYEU3Pyw9Odmk6f7pkDqtprJAdMHxyhrjgGQeVpjIROBBaXpZKIGBAAAADCQEg8uvPGw3K yFSWcYsBLzG/LwukflS4 fltNP3yVXmrkDw1to907fJPWnT0v9TWZyyBhMxwAAAAAAMNDyT506ZUZj0MDCNU/KLa9YhUmrsKzDK7N6raL0QNgre3YskFkzzCQGAMcAAAAAACCiMYWDBw9K/pgxY8ysOBbcIp9yPaK 8q67JOSB/N5gzYabPfXvt9a5ajy4qtHr/GAFCM9Tfw1ohNWO0HVuk0dlh3ztmtDaE9G2EUh3q8mfvcwzzxrspJyq/s60wzU/sMyuyeHKy803h077E3R9pyjbdHF/h5sfftj1Wa8Y3ymwvnfa7Q15 GZnW551Qr5rnZWKl6abwWMQMX Z1CY1eaVS32smQ iyPKlpM5N9KlY VLzlAAAAADD4aExhypQpCTaLuPJTcot8Ta4JKTC6WQXNdSIbtFbD41 SHV97KFAofePhm W2rm/LK6bGw PFVjqmQHpT5Zfk0Raz5htWqWqByJNP bfwxlNPSvijcW1m8Lh8yVrx21qLwrQ3iLUNP1f AtX4Q/P86G1Wobel0l8zw552CtZWQbxlViDtwLIr75Kn3Xl5 unQ6YhtIbzbDBbevd9hgzxpFeBjifSdErO17hr5WvHj/u/zyi3y5J3OcbUK/LeJPG7ycPp0fWgAyZbJY5AJvVJfmid5eRGG0npraSzl0ujzSWO5mYwrnW0BAAAAwNCVYJ8LV8pd T5 WV255Uq4JeyqtrILmBlNgvKnSKnh2Sa 9wlZ56GsSXGa5qd4qmD7a4i9Uz5glC7p67bTsYMItt4js2atLZO8ea9JdVSKqONuwufIX4M2zNX 23KUqHfAfru9e7PhuyLFmJ76cr71ptLY8l0ndKxFZpedT1Xe3A0ZNiYjqWVL5bKsdAgxRPy13Jf wGPQqnr8InPp0OrVMtCebDHTHfUWUszqT 3BQAAAADZI6m3RVx519P2U2l/kCFSlflIiqUwrABpCrCBgu0b8tSTxVJ5V6EU2wVSLQBH lw0MbaRAfpUPthUQJsE9IVkvm 6dvibNNjf5xr52g4z2y7wr5Y9Zpm32UZsfXsM0tZTL6WmlkFpoO2BpylCW42rNkKNtTQFIWlEaH LhykfsbbhrSdBcIltUV1fLG9b1LBKdr8sBAACAoSilV1FeedcG faCR8Vp0RBbpAKmUxC9UgqLd8ievXtlT3GlVbS9SSq/ZK2/tVe6vqTTiYq1jTRtrZNrnrwl2CzCbhLQF/qzIL7A36Qh8J3cNQj8b7jQ7ym3JdMnQh8eg7Rtl5X3izymNQxaq2X7ynURCvVtUlMh0mrXStChU RJuLRHQK/Wb5kiPk4a1raYKdwDBlQ9r6Hlwl1REaU7RVlMkK e1 tPpWS7Nt9PsIhvcc889cv/994cFGHRa5 tyAAAAYCjK18JLXFYBO7STxkTfFqDBgh3ytUCbfk3qNnnUFTjQfhe61q2TLpPYTZXF8rXbvibFl YmGFuJvI5PeeHhdH9RcMN/hoWC0xv4OZjwxM2TWgh3BPiui5jN8W5H50zOtVOJI5Rj0V4eOaqE8 JhptlBeJdWyS/ZELKlHm5 oQqlrdDWPCNuWKx Wwrr7pHp7s2wO22abbGqy1l1twhuFy2S5RFoPg82VV14p9913X0iAwQks6HxdDgAAAAwlTkwhsZ oLN90ttzx5jalG728aII8n1l7 pnrTuZ/5rN3pn7uzw5sqpXiHq38F7YfB i Z1xzG3UY6rO/ be3M0qR9p9ziqrlwk9z9bXG9NcE7nbib6l Rb3fdZvZvgbRUJltD4kq5a7V2puk/TqH5DOXvDyG4rWAfGlrgN/MKrpEnb3lFEt2NfXoM oV27nifvF4UpTlDgnrrS01TBh0qpMnMj6xI5iw0o2G2y0qTl7y8Ilm53czGoOcOMDz77LMEFgAA AJAT8p566inftddeayYxaOirLq/ZI6sjvrEht2195kW59bPL5Ps7T8tX5xeYuUr7ULhf5vR0SF2g oB3nns60voq2ny3COtofwv3z5GeQOeO8bal8zZJld0EI966GEx27dolc fONVORaY2Ff/qnf5L/8T/ R9zAwmuvvSbz5s2TJ36xWW66cbGZCwAAAAx L7/8snz84x9PrOZC4Al3hAF94Q15 M6vyY4 atqBeLRGwXZ5vcdMpqi3/n5PzYXtsnJdsEpEW02FNFVXRejboVyqqkPXRfbRgMKGDRuosQAAAICckFBwIdjxX/iAzNha5w7aXCNfK35cTmdVs4Jsp7UFgs0Qmpf3SGOyPTqWr5YHZaUUmXRul US m6AhfLgnE1mG3lSsetB6YmykfLGVqluqgismxel40cAAAAAGAxoFoGsE71ZBNA/EmkWkQyaRQAAACBbJdUsAgAAAAAAIJrEXkUJAAAAAADgoTEFHai5AAAAAAAA0kJwAQCSNGzYMHn vvffMVHo0HU0PAAAAyGZ5W7Zs8V133XVmEhj8nA4dgYFy5swZu1PHP//5z2ZO6j70oQ/ZnTmOHj2aDh0BAACQdV566SW7Q0eCC8g6BBcwVBFcAAAAQLYhuICspcEFYKgiuAAAAIBsQnABAA AAAACkxQku0KEjAAAAAABIC8EFAAAAAACQFoILAAAAAAAgLXH7XFi1apUZAwAAAAAAuWj9 vVmLFSgQ8ef/exnvvLycjM7nAYXoiUCAAAAAACGtlhxgba2NiksLJT8MWPGmFkAAAAAAACJ05jClClTEmsW4Y5Q vP/3L8 HE5f/68fPDBB2YuhqKRI0fK2LFjZfjw4WZO8jhfcgfnC5LB YJkZNP5kmt5BQDkhlg1FwLNIpIJLuiP3eHDh2XChAkyfvx4yc nP8ihSm9mTp48KUeOHJFJkyaldOPB ZI7OF QDM4XJCObzpdcyysAIHckElxI6hdLf4Quu wymThxIjdyQ5weX72p0UGfnqSC8yV3cL4gGZwvSEY2nS 5llcAANyS tU6d 6cFBQUmCnkAr3p0GqZqeB8yT2cL0gG5wuSkU3nS67kFQAAt6RD4sOGDTNjyAV6vLXqZKo4X3IL5 wuSwfmCZGTT ZJLeQUAwEFdUgDAkLV4cVnaw7/8y/dMagAAAIgmqQ4d9 3bJ/PmzbPH0/Vf/ td4vP5zJTfn955Ry6GIZftFFZk6o9//yF3nvvffkwx/5iJnjl5eXJ//n/zxsppBpu3btkmnTppmpxGXyfHFw3gx g l8weDX1 eLBgf 9m /am1jupmTvI997GMya9YsM4WBlE3Xl1zIKwAgd8Tr0PGqq64auJoLu3b9u1x66UQpKSkJDBcu/MXuxMg9zz3oMl3HPU/T0LSQGzhvkIw/t7SYscSl8hkMbk5g4bXXOlMafvObrXbtBWowAAAARDegzSIcm/ljvvvCswXDl9uixbtixknnvQZbqOe56mgdzCeYNEaJDg3XX/W9794Q/MnPh0Xf0MAYahR4MEmzf/2vr3tcDwwgvP24ED9zwdXn7pJWltbQmd9/JL8q// jOTGgAAALzocwHAkPShykr50IovyZ83PppQgEHX0XX1M/pZDD3Tp18p3/3u9wLDbbfeKjf 9ZKQeTr8t//23 Tqj18VMu8rX/mqSQUAAACREFwYNLbIncMWyUN7zST61KhRI61hlJlKlfuY6fgwuXOLvaAPcZ4k45IvfyWhAIM7s KCf6TuD/fhxfg0uA3GNybTsPqfefvttewAAAPENaHBhS1uLPPx/vhsYlv/lxzL61/9Fev/xyoiDLtN13J/RNML5b8KGLXpIwu9n vJGx2w3ZOBGPdNSPW9 s/VpuxNHPS7z5y QjRt/ZFJ0pHP8lsqGCxdkw1Idj3eOcZ70p3gBhuQCC/117OKdQ7FwfvWf/tzX7mtMKjinkqVBhddff90eCDAAABDfgAYXCsaMkcsu 1hgGH3 bRkzfrSMnTol4qDLdB33ZzSNqLavlBX9fvezUB7sviAXrJtAe2gpkZUz77RuzZApqZw3I8eMlU8 tLZf8/Hz59guH7OHSSy81Kbp5jt FbXL3DLMoozhP lO0AENqNRYiHbvB9kSZ8yuSEyeOy5O/eCIwjOjeJMWHfiqv/tOnQgbf0/fI4vNPhaz70ksdJhWvbDgfMiG3ziknsFBQUGAPgy3AsG3/f5ix JJZFwCAdAxocOG660rlls/eGhjUxTPmScGN/yXioMuU zOaRmR6I9QiJStnxrnJ2ysPLQp/ErPlTvfNoeeJz96HZFGid45Lq QO6ZRu 7PeJ0exniRFzheSP28uWXKHFN67y17vi0/slcdePSY/ v1xezxZel44T 4WPdRt5ipzLLdY58awSnlEttsFjGGcJ4OGN8CQWmAhgqUbrILWHfLIWndNqUSPS4T19PoS8RxK4 1hzftnOnz9vFRD/GBg /M5eKXq/UyZ90BMyXP7BHpn9l10h654 dcqkEkfY RBrf5tx 7rh7OdoBfbw4xR6PTILttwZmKeDffpwTiXFHVi4 uqr7WGwBRhqW/cn9Bum6 i6AAD0hyHe58JS2aA3eZXRn65suXOmrCxp8T J6V4uzSv8N4RLq6zPbTKf2msVIheKNLf4f8j3tjSLFBfZ4/HsfWitPHLHmqSffkfLF5J08RXy0U/cbY/qTda2A /I0qIC eInxtvjydj70CKp7HxQus2Tu43SbN2sexTdLdsutFg33eYpX4J1mDlP oc7wJCRwIJDC1rbm8VcIhI LhHXmxH5HErnWHNX3sY5Pkrv/694Hho6M/KsPGTJAJn/vvIcOHr/G/Tca97tLyJDr59JwPsVkF/rUiG3UfW0P3g51SGbFJX6jQ61G3rJlpz5WHNhUHrlF2kEN//zinEuYNLDgGW4Dh60umyO8O/ylmgEGX6Tq6LgAA/WHod i4dEOMm7UtsukR62ZrtSkAzqgU61bHf0NYVCwLO7vtz9jBhOXLRbp67NV6uqzJymh3VObJkHlqt MIqgiZawAyKkS8k7uIr5KJJVfaoc5NVNbtANu0 LU 8dlIWXfERe1mo0OMXfIq4RdatFHlw493iHPkZd6 xbtZTxXkydCV6XJI5fskea86v7GHtY 91JW5gwns9miFLl rYDLl7QzCt0NoFXpxTXtECC47BFGD4zOwx8u2br4gaYHB 83QdXRcAgP4w9IMLlhl3b5QHJVr/C 4bppmycruZHbjp2SstzSVSdfdMKXlkk3VrpDdHJTIzcPfmZd04mXap3Q8ulO3NLSk lYmSLyQmQmDhgZsulxumf1QuGZ4nIy/Kl28smWQvDxU8fv5hgwRvn2Md92RxngyEd11NIdxNJDLDfX4kelySOX7JrMv5NfBSvV4USfFCMx pT5PS1RoP/eOmgTSFi4Zxy27NnT9TAgsMJMOi6Ay1agIHAAgBgoAxocEE7yHJ3mKXe27tLTj/zbxEHXabcn4neyZbbDLl7m/a/sCJC 05vYdLpwG GzCzZLl09PdJVUmUVMJdK1R2d0r2lWzrv0On4Zty9TVpKVsrMRNvdh4iWL8Q7b07u7o0YWFD3bj 0o40YOl0dvuVJmjLvEnpe4aE8A08N50j/cgQVtCuHtgyEd/iri7utCosclmeOX2rHm/Aryduj47rlzcuHsmZDfGR1S/63xCz8fkmH95mxPJDAR4Xq05U6Z2bw82CzCbgoRC eU27x582IGFhy6jq47GHgDDAQWAAADaUCDC9pBlrvDrDMjLpNTx8/Iyf1vRRx0ma7j/kzCnWxZt3kb7N6t3U9yNGCwXVaui3yDpP0udK5dK52mf4WlVdbnK1dKSVXit4xLN1g3d4 sNUENfSK1XQJ9N gNqD3mFStfEToDCxsf2mKdN8dOvC XVjxkr5fZwEL4MdlyZ7yngonjPOlb3sCCIxMBBn1SPFOrqDtVveNcV4ISXU8ls264zJ9f2cnboe N/fHCJ/Mn34Yz 1oSfD/H2d g tq8rcQMT3mOzV7ZsCf jjn5sFeeU19ixY81YfMms29fcAQYCCwCAgTSgwQXtIMvdYVbzRf vnPn0v0nhN9 IOOgyXcf9meQ62dogLZ7HOP4bpEpTRdMa3H0zLK2Sku2u/hW0HwbrvwT7cjSWyuoHRfyv7Johd6 5Q7avnGlva4Usj/pUKWa clys86b4npftdVIPLFg3voEqu/7BeTi3dEO3PNgZPCabqqxj5F/k4Rxza72En xxnvSVaIEFR/IBhtBzxP kOPTpa6LHJfp64edQesea80t5O3R89xPV8sykVWn 1sQ7H Lt74XyYPGmwOftThoT6Msg9Ho0UzZZ25Glq 0mgDNNWqHb4pwaypwAA4EFAMBAytuyZYvvuuuuM5PhVq1aJevXr7fH9 3bl7GqgIsXl8n99/8v69/FZo7IP953r3z6/6mS/zR/gZkT6v/buUN /atN8s37HzBzRF588UW5777/af3bbuYg03bt2iXTpk0zU4nL5PniiHXezF9wreTn59uBBX0TxIPlV9jL06uxgGQNpvMlXmDBLZl 1kTl9fb4414zXXuu0htfku9/9nlnib/agtRI0eODWf781WpNorRR3Z3dzk/40mK4v8eRCXgEAucMdF/B66aWX5KqrrhqaHToGnojEGTC0aGDhuy 9bQcWLh6eLz9/7VRSgYVI54gzIPv8uaUlqWCBuwaDfjaSSOeGd8DgooGFOXPmmKmhIdJ5pwMAAMBAyvvZz37mKy8 vN5Ph rLmwo033igTJkw0c0Tat70gM2YUyWUf 5iZE rtP/5R9u7tkbJF15s5IseOHZVnnnmGmgt9aDA9fYl03mzvaJfPfe7zUrns03athZ4Tf5aRFw2TN0 /K1M ehE1FvrZYDpfNEjwocokmk5ZUvkMUtdf58u//Mv35Le/fUbq9vNHNEerr3yNmzZ UTV19j5vj1328NNReSlQu1AbIprwCA3BGr5kJbW5tVjp8h WPGDEzbvHnzrpIjR45KZ2dnYBg27CLRd0e757kHXabruOdpGpoWckOk8 YjHx0tf/Wf5tvLdx56R46cPW8HFuZdegmBhRyXSpCAwMLQNHHiRGu4NOTa8R/v/EnO/ X9kHk69N9vzVLZkOVv4AAAANCYwpQpUwauzwVkj2x5 vLYq8dk697/kAVTRsnfX3eZmYv lk1P6zDwOF QjFyoDZBNeQUA5I6c7XMBuen2qyfIj26dQWABAAAAAPpZUsEF7TDvwoULZgq5IJ3jzfmSezhfkA zOFyQjm86XXMkrAABuSQUXRowYIcePHzdTyAWnTp2SkSNHmqnkcL7kHs4XJIPzBcnIpvMlV/IKAIBbUsGF8ePH2z94OhDpHtr0 B45csQexo4da Ymh/Mld3C IBmcL0hGNp0vuZZXAADckurQUb3//vuyf/9 OXnypPh8PjMXQ42 M3306NF2B0/Dhw83c5PH ZIbOF QDM4XJCObzpdczCsAIDck0qFj0sEFAAAAAACQO3hbBAAAAAAA6HMJ1Vy4YkaJmQIAAAAAALnkwN 7OzDSL0ODCfffUmjkAAAAAACAX3P dhoSCCzSLAIAh4PDhw2YMQKL4uwGAwYnrc/IGwz4juAAAAAAAANJCcAEAAAAAAKSF4AIAAAAAAEgLwQUAAAAAAJAWggsAAAAAACAtBBcAAAAAA EBaCC4AAAAAAIC0DHBwoU1q8sqkoddMDkruPOp4ntS02QuSFOu7ppNuJvTHceiPbQAAkA3cv4kD fQ8AAEhJW43kWdfvvLIGoYjjl /z cxoqvw/ivaODQz9U4jsbSiTvH79NS6XRmt/NZabyYzpq3Sh2mqsc5K7NuSs8Gt02YBH Qg2Inv0/W9Ipu8B PsCMMT1NkiZ 94mcI3u6 ufpl9j/V/1SsPaJqlu9YmvvVYK7XkOa1mZK3/uYYgGIpyYQoZqLpRKfY 1Y61E7aG1ROqKnB3fR6yTakXzcumhRI44yht7pL5zLTdayGGh1 j22tCfQABRWPcaazurpbpzU9/e0wAAEqOBhaJmWe66r kp7h6Aa3SPdHWUSnGRmQxRKLXtTv5apdp9HxYWiBha qZZRHmVtRM7pdsuzHkjSLEiSu4oT yoU9u6OpHllcGD41RLMUPwIYPZXps7wuUOfMRb7ubNe z82k87TJplDd1mbiTudMPzEBiXs7odEwT1quZbHzFu17RU8vRMix8OzLnuD38j49jfY9dH7Y8XQ W6gXGXhhrv1l/4GtKpG5dnB0J5KDkrh9R/s5cf/Mh16tI12X7aUOFNEmH1BVZ80M AAwuvS3N1r3Galm9vFPWhvxmhf8t9Mu9RazfVxXj7yv63zoAZJnS5VLpKqEX1tZKeUrXv2Su1W7 6uXTuZTzbdd9jBTKXxG/DIJJ/6tQpM5o5vQ1rpal6jST7cKytpkjqSlr9UZ2e5dK8ItqPX690d5bK8sBZZe3sTcXSY6JXvtZqaap wnxjWgV8rstEs76nvlIqQEyve8shi5VebbFR01gfytFGarRMwUa78hH2XUN7ttJbUSVHICe5Ky0 TK4uUt9nEITy U9YdQIdJq0vb5GiVYtyT0e3XUrQt8r1jfo7zK2gebzJq93foQVppb/Dmyb/wCIcMY 62oWEo7u MeUyCXpHL9CP87s37kNlX5/95D/u6iXJcLa6XdHcWn9hkGrV6xYwvWvUZh5XL94fH8hrj Fqyh7 8tYv2 GlH vuL/rQNAliislOViXcO819OUr3 pXKu1OVu69zKR7rGiS7ycPDA0pvDWW29J/pgxY8ysdFg7R6M2JuKzwiquJr T22RTk3WAVpvP2SdOs5gypIdWQymRmYGjUCi1ja6DElJzQlnpbgwuL6xdI9Ud7rTjLY8kVn7bRC tWhKVpxuNz5Sfsu7iFb6e80TrRm9zVN0O/W/y8xTsO3vQiiZbfaN8rzvdwBQb8T5Gsm7yuHl0iPV3 Gz /GPutcKaUdHRZZw6Qi0Kv0f7f1FSuH8r7d2ZNO9eLkL 7eNdlYJDrbbF /czTsYj3JKF/H31/b6FS RtK5G8dALKFv8lBz/JmKdL7mpiBgOTvdRK7VmdC6HZjS6acPDA0pjBlypTM97nQU18qHWHR/US5b4CLpK7DzPbq7ZbO0mJxN3HRqJRz45xnV1OJpUiKS81oRPGWO2Ll1x386EuRthPv5iNe3hI8 DhFpJG NdJnPJ/5gJMb3CPwB6VOkEqmqnSkl9kVB/9AS3c96TCnYIFcFr9E6BGO/qVw/EpfcdRkYXPzBbKf5ZaH4Ky/E uPo63uLVH9fVd/ rQNAfyusbfeXPe0gQ/Ra3slf/xK9Vve3dMpn/SfjfS7ogU69ul3oDbDP1x65aYX3KXRbjRRp546Bz7VK7FoC3poPXvGWO2Llt79 tCNtJ17e4 UtweMQlb/naz0OUpFom6BY36NQZpZ0SFePdVxKqqzUy6Wq2lq/rVs6q3U6EYkeUyCXpHL9SFDS12VgMNGnXR3SUVdkbuTypMieDjbnC9cf9xap/L6qPvxbB4ABVFi7UepLm8RpQR0u2evfYC0zpFs 6x990qGjv7qJ0zu/Rn86gm3ktT8Ge8xLC4wdCXa6F/spdPg2QtNtq6mQppBCabzlkcTKb/gyO00znjlmO642N/HzHi9vyRyHePzH3rRgiCH 99B FzrXrpVO079CeVWJ1FXUSUlVYqEFAF6pXD9SF/3aDwxCbZukqTTYRtc/9HhuYCP8lvbpvYVbor vqn//1gGgT7XVeDqF12BAtLc2JHL9S Va3RdilZkT/W0YWPpb2Tdvi7B2wOp6Ef/rKLWnfu28zx/9XyHLoz698gclKgJPCaK3oXGeZJvJ8tVSrx17mM Fb6NU6os3BdK1O/UI6RMi3vLIYuXX//rD4LJNVX3z1K680XRMYraTSN7j5S3x4xCJ9mxqPpdXJM3LexJ6d3fc71FeJdYhD/avoP0wWP9FvpBEoDeK3EgBIVK5fiQs5nXZ Y2wlqVUyw3oW22bmqTU/UYqmzaNKA12MNzv9xaJ/r6G/3316d86APQn6/5ieXOwVpk2u5RW5yl Kte/1K7VmRe7zJxe az/5LW1tfkWLlxoJsOtWrVKrphRIvfdU2vmDBL6upEVIhvj9q6pP8ZrpbgnWtWReMuR/fTVLfbJwjHGkHX48GGZNGmSmQKQiNT/bri3AIC 1D/3NUPrWt2Xz 7zTIgb2dsn79ejMn1Pbt2 Wqq67qq5oL/aCwVjZqBx489UIc/le3JP9qVAAAAABAYrI3uGCxewmlWh/i0OpQnCcAAAAA0HeyOriQGO1ZOVZVl3jLAQAA3Li3AIDsx7U603IguAAAAAAAAPoSwQUAAAAAAJ AWggsAAAAAACAtBBcAAAAAAEBa8tra2nwLFy40k FWrVolV8wokfvuqZX9 94ycwEAAAAAwGAxddoUM5ZZ93 nQQ7s7ZT169ebOaG2b98uV111FTUXAAAAAABAegguAAAAAACAtBBcAAAAAAAAaSG4AAAAAAAA0k KHjgAwRPRVJz5AtuF BQCQi jQEQAAAAAAZDVqLgDAEEHNBcAvmfuVna/83owBAPra/Gs YcbQFwa65gLBBQAYIgguAH7JBhdu/ewyMwUAue38 fNy8OBBeffdd XChQtmbupGjx4tkyZNkhEjRsgTv9hMcKGP0SwCAAAAADCgNLDQ3d0to0aNktmzZ8u8efPSGubOn SsjR46009S0MbT5fD7JP3XqlJkEAAAAAOSiw4cPy6WXXioTJ06U/Pz0n0FrGuPHj5dx48bZtSGyyQ9eOiGLGrpl2jdeS2ioaNwrP//DafPp3KMxhbfeekvyx4wZY2YBAAAAAHLRmTNnpKCgwB7XwEAmBqUBBm1mkS2e P1p daWt WtU38xc Lr uN78t fPCQ/eOm4mZNbNKYwZcoUmkUAAAAAAESGDRtmxqLzBg/i0TQz0X9Df/nBSyfNWPLS exQQHABAICAXtlflifP5 VJV5uZBQAAbN6AQqIBhmzS9XbqtSzeOp14bYehiOACAGBw622QnVZhXwv8z fVyDEzO1nHapw0XENZmXS19Zo1UtEr59pqZKcJSCSXZjCQ8XxNaCQjkNeyBjln5sVk5SGw/bAh9X0GAACQqBwKLjwr906vkh/s945nUl lCwC561xLs6uA3ST7GlIJBvTKuU4z6tbRIccqilKspaDBgSLZWdEk5zrMLGWnuUL2x81moUxdU 0fbVobXL 3QfY1 UcnrKmVkf5RDEq90lDTYP0/UzKdHgBkTrRaCkOx9kKivrRoshSMHG6mkKVnwj75wXXKZNd4Z7rGJ9Zjx77 Vy73Nmwu25e2TavZnaSl/y7hvX8J//rwTjHhoIcS/3BkW8yyOtE6T7zbt/dN5nf7jPTBm6H1352P/DKvtzkT4PAFrYOtasJfdqmVbvL4ifa25J7Gl FCPre QGn88aemRaqX/esU3JRxfONayQfSaoMLK Vebbafpkfk rTDDpxlW 2uShQ462 IuUgWBKab1MK7dnxVfeaL6TMwS/m1RXyQQzikxqk5q8IqlrqpOivDzJC9Q 0fnWdFmkIIEuK5PI8bFMpwcAmRMvgJCLAYZvVBVK7c1XyOlz75s5yMKzQAu9i2Xzshdl35sH/cNzRfJmpIBACpbc/AX56dPhhdxnn/6JfP7mJWZqMJsmX/m52S9vPiafl7 Srz9npn/ tzJVV9n/f Wz028X aGznjU892nZ/ElvYMX1WR1 OFu FbaOxUrvu3u IJ/f81RIkGdJzTdEvrXBNW f/OC71n78 2A Vm7 tDz/wBJZ8sCL8vU9DdT6ABCqt0WOagG tFgm1JpCckezHPMUpsKaJljDzpoEmxRYRhYXmTGX7jbZX1MWJb022VdnIgvVrTK/tjxQw2BkYbkUt7fL1EIzw3KuwcpfIG/uZhPB2gvn6tbJMVe6Tq2FQBMJT9OJcw0mb5756lhNkQl8VEtxo4lQRGk6Qd8SqeiVhrIKkdYeqa ulx6f9W xWeToqJMVCZf6M50eAPSNDz74wIz5eadzhQYWPnPNBFnynZ1mDlTWBReevfd22f31F UXX55m5lim/q185ZNmPOTJfQpNFD75Kfn8z0ILyRrQ2PqzL8hNzjb06bvriX7Emg52EMS9fe90evl89t4Uvpvx bKNV6Lf24QOBfWax9uEvfvgF el33bUbPD75HdkXYZ39v/21yLI7pWbZbvmuu6aClebff 4nwXn7n5HN8g2pMdu187HsRn gQYMifz9bvtVI7QUAQc5T/JHLK62CdrlMsMvhwaf8flaB3Ns0wXKuqU52Rih4n6srMgVrfwF8ZHWrzK11RQKMY3UVsq8pmGhI er3dctY/JhOqYlcv0CDAzjorf2Za8x/SbCJQe6FJ9pWt9feP4Kq1MKHKaTqxydV3glOjI8L222qky2lW0dpIrYU 0SNdHdUS3PWFUlvrPg6lUt/TKiXWuRbhFDTctQ4ykR4A9B0NIkQLJMRalu2mjb9E3lx/vf2vwx1YoNZCqCwLLvgL X/vDix4PHvvYvnWrMeCT P/IUZhOaIlcpO7QKyee0p2f/1Oa4naJz942roxDTzNtwrbX06 WUaq bSbEUy/XLbevEm 4i VJ0n34V/Jsr OsA81sPJKj7xhJiOy1/m1PBPI7D55ZrPY6U3960 LbH4m5Hu4ay9oMGG2U2vB tybezz5mF4k1 x5I8njBWDocp7il8rESn/h3ylohzaNKJdpra0yvyfYLGC aUIhnd1xay ca6qQ1yKV2KwCfrFJc369aWPg7hvBViqjIlR6CArWRAg0x7AKiYEmCzZX7YUOEzBw97VQ7jRraJ JjTjbb1gVqJkwIiS20SVeFiSxUt0qxe5mr6UTg 4R9Hqq3oUzy8vLChrJAzYFyqapukoqyddJl5oQrl8bWammqqLGOSjyZTg8AkAn7jr8r39y0V569 Z74dYCCwEFt2BRf2vyG7zWhk/oLz12tM84WpN8oycReEE6NNI14JFJK1Kv9uVyF4mnzlAaeAbNHCtpWrN5PaRgr5NLUlVkq9HZAI qXWQDHsfzpbpUQMTSX4XuzbCp VGTS/S93BqL9x7j3x3T7DWgsib0vuKJx9Tr5TZ8YIbAHJHm3lSX7pcJjgVC4qK/YXujjrZ5yphjbQK PtWuJow1JkCdgTBPheChexzYUEDfwHf2e7I2jWmgN8hZ3vsEcM77RGo4VAt05zaEYXlMtXTbCJY e8ES1tdCuUwz XT6hji2yf/9RtavDqmZcKymwtRucDWH8NImJCZoM62Hmg2RFNa2i886P7xDu6uGS3mjT3qWd0qT9pEQrTpBea P01HdKRcT Esql0dcuTpLppwcA6AuPbjtkBxhe/VYpgYU48vXHMmto4dOMRvc7u18Af3ODxfKtV8zsZHzyTvm6U0h2F54Np/aAf7hdfmrmJyeJfGofCV/ icg135AHY9TaSIi9D2MFEGIFHhzBdfxNIoJNG25cJrL5t6GdONq1F372E1etBYsGOa4pkivNpN9 0Kbwm2UANgKHKKUBrICHQX0FRXaAmQqATRn1VZZFVqDZP/ZMRPWgQR FMGWVGY3YG2dMVt aEX6GMLDGjJTODtRaMkZXL/fPsIIjzNolgjQ5boDlEjKCB7itTs2FCqyfAgaQV1m60 0iol4ooHS6adSSx/hIynR4AIDM0wLDkOzsILEThxBSyrFmEFj5/Iltjdt7o6YTwzVSaDwQLyaGFZ8tz98gN2glhIH3tNDEVSeRT 0PQdf5ZZKUdjEjn7Ri6D38XFgCwPfeU/DSswB9q/w8b5Kef 5RpIvKsNH7rd/LKtxabIMnlcoM97e7E0WIHNP5KCqebaRWxlkKE2gwAclSbHDOxhaicPgicAnxptRRbP27 GgmmWUQc5xqcfgzCmzccW9tgOo7slWMNpi EQDMCp/8HS1OFdFkFvUAQobdNusrK/DUhnJoW7ldoWsv3l9WE1ZSIqbBSJtqVFzpknxNgcdfocDWHGFm/MUrQwFrHfFZrb4Q0mUCI M0iQlU29lgF/mYJ6QokoFBq27W/hBUJv9Uh0 kBQCY5fSwM1X4Wovn9gXcILMSRZcEF7fRP zjwdKK4///KD xp7S/hdxnpFNDff8AGaTT9CURjF7bNeKjQQnzoeinm0wkyvPkp2ZpKZ5U2ax/ s/aDsDh0H2qziy/vlq//s6t2gYfW2LjhWxJszmEHI77hCrTo8KJ8PW4ASFFLAUAMgSYR9YFXPAaGnvpAgd3ugyDQVKJJuqw CYLxmEcEOHV3rVa8JL5B31FmFcV2vSLoCb4YIvtZxQmNrYPyYlWawdoXWojALCmtlmglCBLZrLd/X0emfmbBgvwwOd78M5wLBj9Dv5wz2GyGcfWoJ2QeUUMPEbxbRKw0NrhorvS3S3FEiM6PWBNH Ekqkzjr2wTPT3aFjJtIDgL6jr5qMNwwVUwouMmPJK74s2PFjLsq s0DfWPDcN2T3l50mBdbwDyI3mrb8Sx54TD7/s9uDy/5zsh06Gnb/AT Rn86qDa1RYDeZ IbcYNJfKZ OUnPBHwhxnup710svn0vkgZRqZBgapPDuwy L/DAsTXfTjctNjY3gOvp6zmvctTpsWuvjryK zjPUNJk 63fS 6aZVBqsCNSKAJDLAn0K2G J8Ag8xTdNEqwC/NzWatd6pTKhvt7TLMDV7MCtVNdtlflh/RNUS3FPq0xw kGw6FslQtcrl2JfjxRXl4bmUdNsDdYemNDoXUe3Ga12QQyBjh0VHTEOrEKZ2VUheXlFUqd9JBQ1 y/KeRuuMiKG8UazTNIpMpwcASNVXrhtrxpL3twtT/ xQkNfa2uortW6Eolm1apVcMaNE7runVvbve8vMBTJA 5L4B5EHf661JfTVnHUi/5xG0ATIcVOnTTFjGJp6ZX Z//WZ iaIG6J12Iik7ld2vvJ7ufWzy8xUsnqloaZFKhtrJdlYUWSZTg8AEveHP/xB5s2bZ49nqiaC03Ri165d0rP3oMy/5hP29GD3xO9Pyw9eOildb79r5sSmtR2 ct04exhIfXUveP93GuTA3k5Zv369mROqo6NDrrrqqiysuYChY rfyoPLfi033PuseTWnp5YIACCot0WOmuYWE6oILAwOhVKb0UBAptMDAKTi1k8USOudV8q b8xNaNhWN3PAAwuDAcEFDKipX94k x5YIkseOGj/CwCI7FxLs nIsZ4mEQCAjBs2bJhcuHDBHnd32pjOoJw0MfQRXAAAIAuMrG33d2jZXhv5NZMAAKThkksukePHj 5upzDl16pSMHj3aTGGo0o6PCS4AAAAAQI67/PLL5cSJE3aAIRO1DTSNI0eOyNGjR2XSpElmLoYyOnQEgCGCDh0Bv/7r0BEAhpbz58/Lnj177KCAPolOx/Dhw2Xs2LEyZ84cGTFihDzxi81Z06FjthrIDh21M1CCCwAwRBBcAPySDS4AAPoHwYW RXABAJARBBcAP 5XAAC5iOACAAAAAABIy0AHF/JPnz5tZgEAAAAAACRO3wjy1ltvSX5BQYGZBQAAAAAAkDiNKUyZMiW5ZhFnzpwxcwEAAAAAwGAxe vRoM5ZZ8ZpFtLe3y1VXXZVccAEAAAAAAOSORIML WYaAAAAAAAgJQQXAAAAAABAWvJ9Pp8ZBQAAAAAASI7GFai5AAAAAAAA0kJwAQAAAAAApIXgAgAA AAAASEteS0uLr6yszEyG41WUAABgqHriF5vNGACgr9362WVmDNkkkVdRzps3j ACAADIXRpc4GYXAPzOnz8vBw8elHfffVcuXLhg5qZu9OjRMmnSJBkxYgTX2yyWaHCBZhEAAAAAk OM0sNDd3S2jRo2S2bNn24XFdIa5c fKyJEj7TQ1bQx9BBcAAAAAIMcdPnxYLr30Upk4caLk56dfTNQ0xo8fL PGjbNrQ2ST qf3y/TVL0jel55KaLj6HztkY/th8 ncRXABAAAAAHLcmTNnpKCgwB7XwEAmBqUBBm1mkS0e3XZIVv50t w7lnief7//HfnSI7uk/ul9Zk5uIrgAAAAAAJBhw4aZsei8wYN4NM1M9N/QXxqePmDGkpfOZ4cCggsAAAT0yv4f5clz9XnS1WtmAQAAmzegkGiAIZv8/sB/mLHk7TuePTU0 gLBBQDA4HayQXZahX0t8D9XXyPHzOxkHWtz0nANPyqTrt50ogi9cra3RnaagERyaQYDGc 1tZl5foG8/qhBzpp5MVl5CGw/bEh9nwEAACSK4MKg1yY1eWXSwBM0ADnqbE zq4DdJPteTuWC2CvnjptRtxMdcnRzUYq1FDQ4UCQ7NzfJ2RNmlrLTXCH7T5rpqApl6sJq/ ietcH1TzbIvj3 0YkLa2WUfxSDUq801DRY/8 UTKcHAJkTrZbCUKy9kKgvLZosBSOHmylk2ZmgBe08ySuL9MObbiF8sBTiCSYAQFCvHO/usP6tlummIH62uyWxp/lRjFrYI5 s81lDj0wf5593tCe05kAizr68Qt40QYVRC1tlvp2mT bf3ioTTbpxFa42eeiw8uC/8AeCKePqZWqhPSu wkbznZwh N1kVpVMMKPIJP29LpK6pjop0nuTGuccSvVeJdPpAUDmxAsg5GKA4RtVhVJ78xVy tz7Zg6y8yzoqJMV/JICwNB3skWOagF XLGMv7ZKJuq8E81y3FMrIKxpgjXsbEuwSYFl1NgiM Zyok32t5VFSc9atl2DHpZZrTL/2vJADYNRY8ul IvtMnWsmWE5 7KVv0De3M0mgrUXzm5fJ8dc6Tq1FgJNJDxNJ86 bPLmma OtRWZwEe1zC0vt dFazpB3xKp6JWGsgqR1h6pr66XHp/1b7FZ5EjqXiXT6QFA3/jggw/MmJ93OldoYOEz10yQJd/ZaeZAZWFwoVTqe1qlpK5IAkH9iPSHOk/yNNrviur3NpSFRP/902VSllchTdIhdUXupwVu5umAdXNZZqeZ599 W43Zhpl2aatxtm8NIU8coqTVq9NR8tETXLeMmwsAOcJ5ij9qZqVV0C6XCbN0bvApv59VIPc2TbC c3VMnOyMUvM9uLzIFa38BfNSsVim NryKwNHtFfLmHhNAsISkd7I7EGiYWGQK71FoEGDndit/ZtrOv7vZRKD2QpPs 9FaOaqjrloLE4qcphObXH0nODU6Imy/t0Zec5pVLGuk1kKf6JGujmqpCuz6QqmtdR HRO5V3LUOMpEeAPQdDSJECyTEWpbtpo2/RN5cf739r8MdWKDWQqgsrb9SLo2t1dJUUWP9NEfWVlMkdSWt4vP5xNezXJpX Av3hbUbpV7qZJ1 0CrMr6grkdb2dmn3tUq1/eNtrd/ouVELsAr9a0U2apr29q3C/qYq/zY8 dGgRUWnPn2wlllDa0mdFIXcEXjTsj5bWBslH6HrdtSti/q9AWDocJ7il1oFaH9J2ylohzaNKJepy1pl/u3BZgHznb4MjgeDANGc3VMhXRGCEFrAn2vSnL w1D/P3TeCrVRGuWoohAvWRAg0x7i9NdhkweaqvXAitNaCrdDU2JAmOebEVHrXBWomTAiJi7RJ1 Ym/6gGTdzLXE0nAt8n7PNQ9oMHE9B3D8HgfrlUVTdJRdk66TJzwsW/VwnKdHoAgEzQtz98c9Neefae XaAgcBCbNnbOKa8UXrqO60f4shtEDc1WQX01aZwXlgpy6VZWuwVC6V2Y710rm2QhnV1UtLaaP1c J8pKc2OtlYKlvMofBHC2YU93Sre9jTaxkg6uaylvbJXqpk2uGwJvWs5nI0lmXQAYIno3maf4y2W 8U4AfW wvdJ ok/2u66AW8Pe3uJowbDcF7AiCfS4EC9lnw4IG/gL BLPdUdeuMQX8Djkbsp532iNQw6Fapjm1I8aWy1RPs4lg7QVLWF8L1vomn07fEMd6/N9v1MLVITUTjrVV PeZtb1AcwgvbUJigjbTb6dmQySFte3 Bweeob02eGDKG33Ss7xTmrSPhGjVCWLeq5RLo69dnCTTTw8A0Bce3XbIDjC8 q1SAgtx5J8 fdqMZh nFkLkNoimaYH9tKFI6vwPg/wKa2VNSZ31yVaJWkkhbSUyM TmUBEUAIBEOQVoDSQE it4rC5QEyHQCaO qvIxq1BtnvonI3rQII6xMwM1C2J2BnmyK27NCb9CGTnejI4Ppu0YVbTcP88OgjhvkwjW6LAFmkP ECBrovjI1GyYu8wQ4kDT7PqS63roXqYjS4WK8e5VQmU4PAJAZGmBY8p0dBBai0JjCoUOHJL goMDMykaFUtuubRBXROgpudTftCDwxCH4dECbQ6ztrJbqzoo bLsYKZAQKeAAAAjXJsdMvwFROX0QOAX4cdUyN1AjwTSLiOPsy6Z2hPWb4W3ecHR7gxyzAw69cux l0xeCOM0InP4fLNqs4uXeYBDhZJt0/ajMXxPCqWnhfoWmtXz/j2rCakrENLbSvIGiQ950AizuGh3W/nKaQ4xauDFK0MBax3xWa2 ENJlAiPjNIkJVNvZYBX6nhqRXrHuVyDKdHgBkktPHwlDtZyGa3x94h8BCFBpTmDRpUhY3iwjQNo glUlekHSE6tO1ih9TZHSt49UrDijopWdMojaZ5ROZ/m832TT8Pqq3Gyl91lbUEABBXoElEfeAVj4Hh9vpAgd3ugyDQVKJJXkugWUSwQ0fXerPWhBfIT9T Ja4/pekXyWuDNEMHXOk4obzW1HjQQUeSqXaG1KMyCsbUyzQQhAtu1lr95otM/M2HBfhkc7n4ZzgaCH6HfzxnsN0I4 9QSsg coAcC4jeLsO4lGlz3GL0t0twR6wFCpHsVd4eOmUgPAPqOvmoy3jBUuDtvTNYnrvioGctNQ MsKG UVs9DKn8fBxXBJw6meqHT0aPdHMI0j/C3bSyX1fUS/paGFGnbSbsTR7N9u3PHhNpgZDYfAJCNAn0K2G J8Ag8xTdNEqwCfPGyatd6pVbBuz5Q8PdzNTtwG6frtsr8sP4JqmXu7a2B7Sh9q0ToeuVSXNcjc2 eVhuZR01wWrD0wody7jm4zWu2CGAIdOyo6YhxYhTKzS 8xrHsK7SOhqFmW98TpwynCvUpQptMDAKSq9uYrzFjy6j411YzlpryWlhZfWVmZmQy3atUquWJGi dx3T62ZAwAA l v7P R//WZ iaIT0brsBFJeeIXm XWzy4zU8nqlYaaFqlsDHbgnJ5MpwcAifvDH/4g8 bNs8czVRPBaTqxa9cu6dl7MI3rbf/SPhYanj4gvz/wH2ZObFrboe7mqVJrDUPR/d9pkAN7O2X9 vVmTqj29nYpKSkZIjUXAAAY6k62BJpbTCwisDA4FEptRgMBmU4PAJCKLy2aLK9 a6H4Hv1UQsOb668fsoGFZBBcAAAgC5ztaTYdOdbTJAIAkHHDhg2TCxcu2OPuThvTGZSTJoY ggsAAGSBUde2 zu0/GJt5NdMAgCQhksuuUSOHz9upjLn1KlTMnr0aDOFoYzgAgAAAADkuMsvv1xOnDhhBxgyUdtA0zhy 5IgcPXrUfk0hhj46dAQAADkrvQ4dAWBoOX/ vOzZs8cOCugreNMxfPhwGTt2rMyZM0dGjBjB9TaLJdqhI8EFAACQs/RmFwDQPwguZCeCCwAAAAAAIC28ihIAAAAAAPQLggsAAAAAACAt el21AEAAAAAAHKTE1PI27x5s2/RokX2RCTuPhfOnDlj5gIAAAAAgMFi9OjRZiyz4vW5sG3bNpk3b15ywQUAAAAAAJA7Eg0u0OcCAA AAAABIC8EFAAAAAACQFoILAAAAAAAgLQQXAAAAAABAyvSNEQQXAAAAAABAWgguAAAAAACAtPAqS gAAkLOe MVmMwYA6Gu3fnaZGUM2SeRVlCUlJZL34x//2LdsWfSDTHABAAAMVRpc4GYXAPzOnz8vBw8elHfffVcuXLhg5qZu9OjRMmnSJBkxYgTX2ywWL7i wefNmmT59uuQXFBSYWQAAAACAXKSBhe7ubhk1apTMnj1b5s2bl9Ywd 5cGTlypJ2mpo2hS2MKkydPplkEAADIXTxJAwC/ffv22YGFcePGmTmZceTIETl37py8 ofXs Z6u3XrVvnNb34jx48fN3Niu KKK Smm26S0tJSM2doSbRZBB06AgAAAECOO3PmjP0EWuXn52dkUOPHj7ebWWSL9vZ2efrpp Vzn/ucNDQ0JDT8zd/8jTz55JN2UCKXEVwAAAAAAMiwYcPMWHTe4EE8mmYm m/oL1pj4atf/aoUFhaaOfFpk4AvfOEL9mdzGcEFAAACDsiTTQvktvsXyEO7zSwAAGDzBhQSDTBkkwMHDtjBgmRp MCLRZhRDFcEFAMDgdvwxWWUV9rXAf9v935QdZnaydjzppOEamr4oD 0 YNZIxQE5vPubssoEJJJLMxjIuO3JF8w8v0Bemx6Tw2ZeTFYeAtsPG1LfZwAAAIkiuJC2NqnJK5O GXjMJSK801DRY/8 0vkoXGNwO794q 824SIs0b0slGHBADh0zo25H9siLj9 aYi0FDQ7cKrWPt8j I2aWstP8n/Jk3IcXV8gt11f6RzsfCa5//DFp7vSPLr7 dpnkH8WglOnrMtd5AINXtFoKQ7H2AlKTZWeCFuTzJM81lOVMqT78u fFCGq01VjLa9rMlLJuWMq8nzdDmd7IxEo/kW3rOjXW/53x0PXdx6m3oczKW0Oc/Di8aUXarnt5pHWCwveLf17YedRWE5IPf57bIn4 lOanSOqa6qRI8xJY1 Qz1md1m1Hz3hfp6mf1mOm54Ry7ZIR/Pv7 SZP9Xaxt6BBynmDoOiAvd 2x/q2Uzy/xF8T3dz2X2NP8KKYueUIev2 HNTwhn7/UP /F10NrDiTi8Lb/KT81QYWpS9ZLg53mDmm4a70sNunGNfvLJg97pN3UdggEUy79O7l1tj0rvtn/aL6TMwS/m5QskQVmFJkU57oc8Rqly1K8ziedHgBkTrwAAgEGqCw8C0qlvscnPp9/aK9NvKON7Bf63X2tJVJXlCdhZbneBlnbWS3VnZus2w5HodS2O59tlWp3Wu211lLlSd/XLsHdm C2A6IcJytvK5qXS09jbfz8WOuW5VWItDrrWUPPcmkO226CeYu4X0TKV9eL1K1zzbMKy2ubpHpNM B/ PJdLeWOP1HeujXIjp4Vsza 1TnW99Pisf4vNIluplMb67NpOifz2mr5KN/Ni7580aWBhbbH1/c1xDpy3GNKOPyftWoC/dLpcu2iJLNZ5R7bKy55aAWFNE6xh1ZMJNimwTJ0wzYy5HH9Bnnzyi1HSe0GeeFaDHpaS9bJ 0fWBGgaTxl8vd1f/SG4Zb2ZYDm z8hfIm7vZRLD2wv5nfyg7XOk6tRYCTSQ8TScObzN588xXO5681QQ KmX1Ldfb86I1naBviVTEuy5bOupkRcIXw0ynBwB944MPPjBjft5p5LYhFWKyn5pqdD8swm8i 21aWHWWeeZZg10YdT0ZDRZOvU8GYjwpcD9ZjZlGBpQ3WgXpamlaG/o0o7elWWT5alm9vFPW9tWNSJRtx9O2rs7KW2VChUJ73foescr0QYW10h5vu8nuFyvNNdVNwXm9L dIs9bLabDc0z4VSu6ZE6ta5wxOOHunqqJaqQH6tdWvdmbfKICUaxwj/bG/DCmlevlxKOsyMkPMlk nGk8zfRSSx9k9QW02yfwsaJLHuuwko5BznKf7U4k9aBe3r5TrrXHc/5fezCuTepgmW/Z3fk9oIBe/9z95qCtb AvjUkvXyD4uuMEuDXnx2lfy00wQQLCHpHd8nTg4WzzGF9yg0CFD7rJU/M635D2k2Eai9YF17mh6RF3XUVWthwRyn6cSzrr4TnBodEba/ 5uyzmlWcds/UmuhT8S7LmvQu1VK6opiXDOTuc4nkh4A9B0NIkQLJMRahtwyZIILWm29olOj/f6nmq0ldVIU8gvcIXVW4WRjyBNP1zwtjFZYhadNVebpt04nW1XcKgBtcj1ZTSINu9q9Kby5h7jN PsqrpLqjWVoCq/WKXYauLJTCyuUizS3RC HpCtt2PL3S3Vlq5y2 NtnUFGVde7td1q1YDEnuF3ftBQ0mlDi1FiLluahYSju7I zXcqmqbpKKsnXSZeZ4Fa9eI9VN3if7beKPX8w00159l26jr9H6v3UT267/OhL9u4jy aj7J3ieb6py14oJzvcOgfNfAz4lxdLtakrDDXYucJ7iz5Ky2f7Cv1PQDm0acb3cett6abgr2Cyg wTShkGP74tZe2N 5Sv45QhBCC/irTZoNS2b557n7RrDNkstdNRTCBWsiBJpj3LU 2GTB5qq9cCS01oJttqmxIS3yklPLYPcPAzUTrgtpOvGCPPR4i3 0ZL3c7V7majoR D5hn4eK/5sc/7psXyMTvg/IdHoAAPS/LAwuWAWfouAPvb A4S9E1W8MPtUsb2y1Clvu6u lIcv9XPO0MKrTzuNqe7pTuiOVkKKyClmNrm2EpKEFsdAClVthbbu/8OYZkm72YT91Xy52Wbiw0hpLpvAfum/zAn0opCLScdInMyUyM5Gv1Ntt7blY6yZ5bOLtF6f2Qk2NrO0M1lqImOfCmVISJbhR3uiTnuWd0q RtZiOWfsvFH8cILuttWCtN1Ws850bo ZK5dBOR5t9FpP1jaj6skI32eR1SG8US9/zv6ZIO67t3rXGWtYp1F55k7Qdknd3Pmqf4N8m1TgF /HSZqv8e Z484arOP8la/sQvgk0YtKZANME F4KF7P1hQQN/AX B2e6kRXeYAv4eORiynnfaI1DDwbruOLUjxl8vt3iaTQRrL1jC lq4Xm41 XT6htjxuv/7TV3y5ZCaCTueXOXfZ 7mEF67v2ntH3/Q5vN3UbMhkkR k Nfly3ljdJT32ldriLVtkv2Om JmR4AAAMr6/tcCBZSIhVEkw0OpC/0aUeFNJn5fSv43f1V/4NV P0P6RPdCaH71mc/lY4nWgAgwnHSgEFpsRT5V4hNC6gxj1 swIMjuf1i115oanLVWrBEzHORFJdGz1th7Ua7zWy9VETsgKuw1l3LwATGgtGMqPoq3czz7B/tO6PC ksorZeNyUc6gqzPB7 OPuXrSOLcRjZyCtAaSKg1QYPbHv5eoHlBoBNGfVXlw1ah2jz1T0b0oEEc46eJ05AiZmeQx990NY eI5QqZPMGMTpgW9oaISbNv8gdV7CCI8zaJYI0OW6A5RIygge4rU7Nh8W2eAAeSFu 6rOx1JLH EjKdHgAA/WkI9bkQqbCXSAE0g9pqpEg7/gsUzrWjwsSk2izC/3S6ygQBtEDZIR11RYHPF9nT7s4KMyd02wmI8cQ/nBZQoxQe2zZJU5wgRUr7xQ5olEqxO GIeU6sBkaldm4YseZIsJZBKrUL irdzPHsH 0nQ/8eNoqssPd/eI2YuOe/NrXwj4Uo6dc/cPSvF Ql029AVE4fBE4B/tJKWR2okWCaRcRxeJupHRGhecOLLzwmO yAwwHZsc30hRBoRuD0/2DpXCUPbTsQbH5x/AV5qOmL/poQTk0L9ys0taPIpm G1ZSIafwnpcy8VeKnToDFXaPD1Rxi6pL/FSVoYK1jPqu1N0KaTCBEsr/J0a/LSpuOaX8JKxKubZXp9AAgk5w FuhnAV5DJLjgf4pZtyIY5W rqUiu4BtTaEHXLrjZY7GFrhe7Q8dUmkXozU Rm0XegO9jvhH6wblNIm2ZTh6ELYthMS 4l/KOvmaaOWlD2dV2n1 orOCE1cgjK7X5LJc680NLgS1KYYUYIQ/loGFTH2oft8yWS6A8gJMviqZJPnbyHu W83ZamTQKsPffNHk7vzMww5gSYRfxd4xWNguOvvAgV2uw CQFOJFlmXQLOIYIeOrvVK7ggvkB/5nqx7WNe7VdYF3gwRfK3jglvWm1oP2vnjra7aFVqLwiwYf7ssN0GIwHat5T89ktBFxSXYL4PD3S/D4UDwI/T7OYP9Rghnn1rc66xygh4IiP bnPh12U/7S9A3GblrNKZ2nfeLlB4A9B191WS8YagYP3689PYm zstcujQIbn88svNVO7R38khcxZoW0W7E0fzdMHu3NHbsDtlVkF3TXXgyfcKq5gTsUZC Wq7qqKTh6jrpSy0HwN/LYlge822TU1SGvYmBm0CUCpNCUUXvH0uuDvNi73txBTKzJIO6Uqs6oLe3Ul7T710aoeCTp7sN1N 6t9uX yVCnjVY4QSutMp/oOqqtW5XhZUH857yomZZ3hOtaYnWMigVSah2QQbTDclvH3Hvn4hi9z8Smf9JnTjnQsx9gKEg0Ke A/ZYIj8BTfNMkwSrA/8NtlSbgoGbJ4iV/Fyj4 7maHbhdquuul4aw/gkqZfVd62Wxq NFfatE6HrXy933PSGrS2a5tm3RNG8L1h5YcIt3Hd1mtNoFMQQ6dlR0xDiwkrkuG WN0hr1piDT6QEAUnXjjTfKT37yE3nrrbfMnPh6enrk 9//vtx0001mTm7K27x5s2/RokVmMtyqVavkihklct89tWYOkAYt3K4Q2ZhNrxQMyXOvNPgn/IXjthop617tqWFirVPTIpXuzj0zIgPpRsxvJnn2D4AMOiBPNvlfn6lvgng8WoeNSMoTv9gst352 mZlKVqav9331 wEA8f3hD3 QefPm2eOZqongNJ3YtWuX9Ow9mMb1tn9t27ZNfvOb38jBgwfNnNjGjRtnBxaGanDh/u80yIG9nbJ /XozJ5Tur7lz5xJcQP zmy10rRFfxmqW9D0nz61SYf3XGsh7W02ZdK/OnoJ0X e3rSYvZP8AyCC740p/nwmLb9tBnwkZkl5wAQCGDoILiCbR4MLQaRyDrGG3Zc2ywqeTZ21 4857eWN2PaHv6/x69w AzDm8e6vpyPHvaBIBAMi4YcOGyYULF xxd6eN6QzKSRNDH8EFAACywKRFP/J3aFl9e TXTAIAkIZLLrlEjh8/bqYy59SpUzJ69GgzhaGM4AIAAAAA5Dh908GJEyfsAEMmahtoGkeOHJGjR4/KpElh3TNjCKLPBQAAkLPocwEAgs6fPy979uyxgwL6asF0DB8 XMaOHStz5syRESNGcL3NYnToCAAAEIfe7AIA gfBheyUcHDhxz/ sW/ZsugHmeACAAAAAAC5KV5wYfPmzTJt2jTJLygoMLMAAAAAAAASpzGFyZMn06EjAAAAAABID8EFAA AAAACQlrxf//rXvsWLF5vJcO4 F86cOWPmAgAAAACAwWL06NFmLLPi9bnw4osvSklJSXLBBQAAAAAAkDsSDS7QLAIAAAAAAKSF4AI AAAAAAEgLwQUAAAAAAJAWggsAAAAAACAtBBcAAAAAAEDKfD4fwQUAAAAAAJAeggsAAAAAACAtBB cAAAAAAEBaCC4AAAAAAIC0EFwAAAAAAABpIbgAAAAAAADSQnABAAAAAACkheACAAAAAABIC8EFA AAAAACQFoILAAAAAAAgLQQXAAAAAABAWgguAAAAAACAtOT7fD4zCgAAAAAAkDgnppB/ vRpewQAAAAAACAZGlM4dOiQ5BcUFJhZAAAAAAAAidOYwuTJk lzAQAAAAAApIfgAgAAAAAASAvBBQAAAAAAkBaCCwAAAAAAIGX6xgiCCwAAAAAAIC0EFwAAAAAAQ FoILgAAAAAAgLQQXAAAAAAAAGkhuAAAAAAAANJCcAEAAAAAAKSF4AIAAAAAAEgLwQUAAAAAAJAW ggsAAAAAACAtBBcAAAAAAEBaCC4AAAAAAIC0EFwAAAAAAABpIbgAAAAAAADSQnABAAAAAACkheA CAAAAAABIC8EFAAAAAACQFoILAAAAAAAgLQQXAAAAAABAWvJPnz5tRgEAAAAAABKnMYVDhw5Jfk FBgZkFAAAAAACQOI0pTJ48mWYRAAAAAAAgPQQXAAAAAABAWgguAAAAAACAtBBcAAAAAAAAaSG4A AAAAAAAUubz QguAAAAAACA9BBcAAAAAAAAaSG4AAAAAAAA0kJwAQAAAAAApIXgAgAAAAAASAvBBQAAAAAAkBJ9 U4QiuAAAAAAAANJCcAEAAAAAAKSF4AIAAAAAAEgLwQUAAAAAAJAWggsAAAAAACAtBBcAAAAAAEB a8p3XRgAAAAAAAKSCmgsAAAAAACAtBBcAAAAAAEBaCC4AAAAAAIC0EFwAAAAAAABpyT99 rQZBQAAAAAASJzGFA4dOiT5BQUFZhYAAAAAAEDiNKYwefJkmkUAAAAAAID0EFwAAAAAAABpIbgA AAAAAADSQnABAAAAAACkheACAAAAAABIC8EFAAAAAACQMp/PJ3m//OUvfTfccIOZFW7VqlVyxYwSMwUAAAAAAHLJgb2dsn79ejMV6vnnn5fi4uLEggsAAAAAACB3pR1c AAAAAAAAiMQJLtDnAgAAAAAASAvBBQAAAAAAkBaCCwAAAAAAIC0EFwAAAAAAQFro0BEAAADIUu //74cP35czp8/Lx988IGZi2SNHDlSxo4dK8OHDzdzksexyAyOxeCR6LHgbREAAABAFtMC1OHDh2XChAkyfvx4yc nUnIqtPB58uRJOXLkiEyaNCmlQi3HIjM4FoNHMseCt0UAAAAAWUxv/C 77DKZOHEiBag06L7TQqgO rQ7FRyLzOBYDB6pHAv2NgAAAJCFzp07JwUFBWYK6dJClFajTwXHIrM4FoNHMseC4AIAAACQpYYN G2bGkC7dl m0z dYZA7HYvBI5lgQXAAAAAAAAGkhuAAAAAAAANJCcAEAAAAAAKSF4AIAAAAAAEhL/unTp80oAAAAACC7bZE7hy2Sh/aaSWSpPfLLB74v7SfM5CCmMYVDhw5JPq/pAAAAAJA LdQOs3uX9w/eAm6EQu WOyOsh8TslYcWuff3ndYexkDY88sH5IFf7jFTuUdjCpMnT6ZZBAAAAIA07X1IFg2rFGm5IBcumK F7uTTPHCZ3RivxamDB/sg2uXuGmYcEaaBmpjQv73bt72LpJrrQ/060y4vH5srcY7sld8MLfgQXAAAAAKRly7qVIg92y4alZoaacbdsa7lDHln7kIRVTAgEFjaI yNIzJY7K6XT2t/b3FEZa3/fHWVnbrnTVcNhked42LVHItV cNeMoHZJNCd2vy4yZ5EsmnNMXgxpw2CaNexpl 8/8IA8YA /dAUg4i0P0poR33enveeX8sD322WwtZgguAAAAAAgDVtk0yMLZXllhOoHS6vkju1d0mMmbT0PySI CC2nQ/X2HrEmwusfehxZJZeeD0m1qOLSUrJSZgeokW RO 1iY2g uY7LlzpmysqTF1IpYLs0rIgSJct4JsWMLs8fJuNlzRF7f7SnwH5XnXxS55d575V5rqLnhmPw8JC gQb7nfrNlz5ejx42ZKZM/u12TinNkyzkwPFgQXAAAAAKRub7d0SonMjFrW7ZTuQKl0u6ys1FoOqwkspMre34naInalko13i3 N4lm5okTse2eSqoeA Pg5/wOjB1eYozaiU5dIsLUQXQp3YLa/LHJmtpfxxs62x12V3SGRgotxwS1kgCDCubLHMPepeJ95yY9Zsmfua0 zihBw/NlcWlw220ALBBQAAAADpmDFTSiIWUB3uwINVYO1ukZKVM6P3xYDY7P2djEiBH d4LZUNF9ZI10x/84fQY7JdVpr5w4bNlJXbzWwE JtEODUIxom/8oI3MuA2XsZPNKMRRVs S2bPfU12a3RBAxoTZltzBh CCwAAAADSUCTFC7dLc6TH2ls2ySMLi6013KwCbfeD0lkZo7NHxKD7 xHZlPC ixT4cQccNMCgTSJaRCrdfStoIMhpLqEDHW G2iPbnj8qR59vNP0lPCCN9vS2iP0m B2X40cnyPiolQ6iL9emEa/t3mMHNCbMHoyhBYILAAAAANIyQ 7e KCItzaC3WljZ0iV/ADt7NEOMNBRYPKs/b3mDnnEG5zZ 5A8FBZwWCpVd2yXla7 ErQzyEfuqIrQLMUfJOqyO8gwn1tH9CeqPbvltYk3SI3pL8E/1MgNE00NA9tReX5bMNSw55c/l9fmumsdxFvuok0jju2Wba9PkEEaWyC4AAAAACBNgWCBU43eGuK9ZtJ m0SJXfV ERGG5CzdIBe8 3uFSGWEjiyWbjCdOJr17M4dA6/10FdaOmn4X23pLPL3zVAZTN/7lokcF7lTRW0aMdGuYeA3UW4YvztQs Hnx26Qms 4IwPxlrvNktkTXpPXBmmTiLy8PMn75S9/6bvhhhvMLAAAAADZYNfTJv3jwzhUzYtWuXTJs2zUwljmORedl/LPRVky/K JqvSuS F MtD6evpNw9 16JGn/oI/GOxfPPPy9z586l5gIAAAAAAIPaiXZ58bW5g7ZJhCK4AAAAAADAIKU1Fh5ofF3m1HxmUDaJcBBcA AAAAAAgo2bJZ 6N1eQh3vKgWZ/RziITbz4xUAguAAAAAACAtBBcAAAAALJQfn6 XLhwwUwhXensS45FZnEsBo9E96XP5yO4AAAAAGSjESNGyPHjx80U0nXq1CkZOXKkmUoOxyKzOBa DR6Rj8eqrrwYGN4ILAAAAQBYaP368XYjSgSe1qdN9d TIEXsYO3asmZscjkVmcCwGj1SORd6vfvUr3/XXX28mAQAAAGSL999/X/bv3y8nT560qyUjecOGDZPRo0fb7/EfPny4mZs8jkX6OBaDR6xj4a6xcPXVV8sLL7wgc bMIbgAAAAAAABSo8GF4uJiyc/Ly5M///nPZjYAAAAAAICft48F97TGEjSmoPK1isM777xjTwAAAAAAACTiT3/6U6DZRP4ll1wiZ8 etScAAAAAAAASocEFjSlo7YW83/3ud753331XSkpKzGIAAAAAAIDYOjs75eKLL5YxY8ZI3nPPPed723Zfbs2XZPkAAAAAAAIDc5fSs ofRtErOk//vGPMmnSJPvtEvlTpkyRuXPnyqFDh S9994zqwAAAAAAAET2wQcfyLx580RjCjrYb4vQagxjx46V3t5eAgwAAAAAACAqDSxo7EBjCRpT8 Pl88v8DUtho RhgIwIAAAAASUVORK5CYII=

p45cal
08-26-2023, 07:17 AM
try:
=DATEDIF(TODAY(),$N1,"m")<=6

Aussiebear
08-26-2023, 08:23 AM
garyj , you are more than welcome to post excel queries here.

garyj
08-28-2023, 01:10 PM
That works.:yes
Thanks so much, p45cal.
Gary