View Full Version : Ausgabe in MS-Excel
geschätzte Community,
es geht um die Ausgabe von Daten von IBM i nach MS-Excel.
Zuerst erstelle ich mit dem von IBM i Client Access mitgelieferten sql-Assistenten die Datenbasis mithilfe einer sql-Abfrage.
Anschließend wird das Ergebnis in eine .xls Datei gespeichert.
Funktioniert alles super, ausgenommen die Zeichenumsetzung.
CCSID der Basisdatei = 273.
Woran kann es sonst noch scheitern?
Oder gibt es eine aktuellere Variante, um die IBM i Daten in ein Excel-Sheet zu bekommen?
Vielen Dank für eure Antworten!
dschroeder
09-03-15, 09:23
Du kannst mi CPYTOIMPF direkt eine csv-Datei im IFS erstellen. Excel kann csv-Dateien verarbeiten.
Dieter
Noch einfacher geht's mit Excel selber und Datenimport per MS-Query.
Beim CA-Modul ist die Ausgabe wohl in Codepage 850 da es sich um ein DOS-Programm handelt.
Wo man da ggf. die 1252 angeben kann weiß ich auch nicht.
CPYTOIMPF wird auch von mir verwendet.
Aber: im geschilderten Ablauf geht es um die Zusammenführung mehrerer Dateien mittels join bzw. subselect. Daher ist ein vorgeschaltetes sql unumgänglich.
Vielen Dank!
Ist dir vielleicht bekannt, ob ich hier bestehende sql-Prozeduren einarbeiten kann?
Im CA-Modul habe ich diese nämlich schon vorbereitet.
schaut nicht schlecht aus.
Kann mir noch jemand sagen, wie ich die Spaltenüberschriften anpassen kann?
http://newsolutions.de/forum-systemi-as400-i5-iseries/image/png;base64,iVBORw0KGgoAAAANSUhEUgAABNEAAALCCAIAAAB/XNImAAAgAElEQVR4nOy9ffAlVXnv2zkv5pqyyrKKip4KJ4VUBS dRcoOQyUkKz1BiXjAq0amLGo0vo3BOJIrGd02YiZ57OIC8eBKu ghLJIYeASpyYcBLQwKBjBEWRGQREJgPDwCC /RwU697cW/v sefX07vXWk8/q3ev1U v/fnUt6Z6r1691tPPenbv/Z3ev72rl/yXzyKEEEIIIYQQQilUveS/fPbMax9HCCGEEEIIITRRffF3fseC3MDwnAghhBBCCCE0eY3uNv GcCCGEEEIIIVSsRnebeE6EEEIIIYQQKlaju008J0IIIYQQQggV q9HdJp4TIYQQQgghhIrV6G5zAM95zjnnXHjhhRdeeOE555zzsp e97ElPetITn/jE3/qt3xo9uQghhBBCCCFUjDaIhI4a3W0u6zmf cxnfu5zn/vyl7/8uc997v3vf/9TnvKUqqqqqvqJn/iJqqpGXxWEEEIIIYQQKkOZPedsNpvNZnJLcs/5kpe8ZPPmzQ899NCBAwc /vGPP/WpT523Vw1GXxiEEEIIIYQQKkCCsUx0n7NpMpcxnP095y/8wi9cddVV11133Yc 9KG54ayqJ1TVM6vquHX971X1U6OvDUIIoWL0ijds2LBhw4lnf9 PZ9c3Np27YsOH0zR tux3azqudp8z/t/nUa7d0dr7goub/T/tOCiGEEDqs/J6ztppLGs7 nvMXf/EXt23b9v73v//Nb37zz/zMz5x57eNPeMLPPuMZtx977HfneuYz9z3xic8efW0QQggVo7nn 9Di6Q/5tFJ/ZCu iVxx6uPOUsJNsm ePXnui0qkihBBaVY3iOZe/w9nfcz71qU89/fTTzz777G3btr3nPe/ZvHnzE5/4xJ/92aNuvfWb9977vf37/ 977/3evfd 77jjfnn0tUEIIVSMDnnODRtOucDbbsBzHvaNYc95wUWeG5sfvf ZE7nYihBAKaxXvcz796U9/4xvf N73vveVr3zlU57ylDOvffyoo4766le/eskll9x8880XXXTRZz/72WOPPXb0tUEIIVSMXvGGDRtOveiUUzdseMPOw 0fvfbEDRtOecNFtefccvbpjfuN84frvGHnITf4hotObNjUhT6N 43N9tro jqvf6p2/kHZUxsd/A75cHjr ubmUw N5ou/fjj/FPGixz6cgQ0bNpx 4qmLt0wvuGh0N44QQqsp75f9CP6wc7Qeu4a6wznO33Oeee3jT3/601/60pfODeeZ1z5 5JFHXnPNNccee y/ 3c/85SnPOtpT/vVJzzhmKo6qqr t9HXGyGEUAGa30h8xdmnN03UIUt2gd9zzv3hIdf30WtPXPeczR EW//5z5ykb1j3t4pjzQYKdtfc5Fw5pqg477DkP 9Izm951/tHchVNePDs tYsQQmNocM8pEDpqwI/U5v7e2qr6yao68l//66Oe9KSf/4mf PdVdWRVHflv/s1RT3vaL//bf/uz/ pf/fRTn/q/jjxyz5FH7jnyyG/85E/yCVuEEEIDaN0 Ne3c rbfc3qN36Lrcz/Uuj5Uy/vJnc8cxnN65j38sHXHcn578wInqoWHO09xbrQihBBaHS352dqh 5AbW7Tmf8IQTnva0rz/tad9w9dM/vfOIIzZec80X77rrX26//Ye7dv34hBOeM3quEUIIFaDa1B2 xVfbMK/n9H sdNENun1qL7f iVld5 T3ORc 09v84G4jhlaizrzgIt/neBFCCK2KRneb/T3n8cc/5/bbf/zlL//wttt tGvXv3zlK4/v2vUvt932o9tu 9FNN 3/xV/85XPOOefhhx 7rrr9u/f/5zn4DkRQggNoMNW6pDL ubmU/2fgx3Ic9YdNrjO1u2s85wLn4/1toue02cgHc9Zx/mKN/j9LUIIoRXR6G6zv d8znOes3///iuuuGL79u1zb/nwww9fffXVV1999d133/1rv/Zrn/70px955JH77rtv//79v/qrvzp6rhFCCBWgpqlrf4et13P6vwx20Q2KH5dd17q5HeCztYdM bPvzro2RPX QedhC z4o63rOQ7NfywdrEUJoxTW621zKcz722GN79 7dv3//448//vDDDz/ OP79u3bt2/fAw88cOyxx27YsOG444477rjjfumXfulJT3rS6LlGCCFUgBZM3 fz248JDz3cILXzlT M7hJpuMPS1QPX3BjUPifoOodA9xrlhPuwGW7/P2XS2C98PNP s7/qtzo9ee LCXV/PFHywFiGEVlyju81U9zl//ud/fvTkIoQQKk Lpu6bm0/1f0S29RnU o7o l9meu5ANvvURtH5kRWpsxPe4cP9dxoPfWTXP1Rj6tNPeUPzdBZ lOXw9/G6s3h/BRQhhNCKaXS32d9znnjiid///vf37Nmzb9 gwcP7t // DBg/fff//999 /Z88e4bt6EUIIIeRRbUGH l0TfpYTIYSQYXV7zic/ cknnnjic3z8yq/8yk/91E Nfg4IIYTQCiv0TUUIIYSQCXV7ToQQQgjZFH/JiRBCyL7wnAghhBBCCCGEUgnPiRBCCCGEEEIolfCcCCGEEEIII YRSCc JEEIIIYQQQiiV8JwIIYQQQgghhFIJz4kQQgghhBBCKJWCnvMVf 3oHQgghhBBCCCGkV5zn/NHjP0YIIYQQQgghhDTCcyKEEEIIIYQQSiU8J0IIIYQQQgihVMJ zIoQQQgghhBBKJTwnQgghhBBCCKFUGspzbt9SHWbjuXf2DGj3e RurjefujjpqYeot2/slYvsWzbx9wuuvT22pqi3bh0ug7hzjc95/uRMlbZFAeMps1N0GyV5zkDvP3eisb48CS1iTdle50JOqY9vyqf GDQQghhBAaTAN6zvqN7/YtlWCWBnQ zoC7z9vY8 1abFSDn4Wj3edt3Lhly8YBZ/HG3O9E0p/ srN0Hjuy5/zUFtnw5MmwPofpn9Tbt1Qbz9t1 CmcKANDDZsgvO3n6WoDIYQQQmhiSuE5Ze X0nP2H9yc59x17saN5945/zdBopY8ETznUlHtOndj1x1sa54z85M6XQYMe851DfqsRwghhBA aX2k85 N3nrvx0MdcD3/Wccv2hQ 2zd9z7z5v48LHyXq8k2scsn3L4bfy7ZFbkRw6cMuWjVW15VPzQ bYfOuTwGz5/eLqzOHfLEp/fu/Pc R3O3edt3HjeruaZtoe989x67u2tBPp2LZyjcyI9cl7rcBLqTzg HM7xl 493rQdX56ejVOLUjtC7 uoVXxzQKa24qM7dUh1eU1 WdAW2eEg4 P51OOiTuqNupTHrUglPMVTpKgOOWKDo0t3eKg EEEIIockrued0OgRuS27fsu6Clvl7zvoNqDuyN5L6DeX2LVV16 K3e4T QE8LrPIv1N6Pbt/T566zDVnPdfNZBtoZt2uyFYO48d2PlnPj6OR6Oqvd9zqYLONRy aMUXEujL8Hxz3u7JzyC3FkPHLqx rxUXSkubN ep0cyStsCkQ4apwwGf1J11q1n97Vvcou27BIul2yNg/QLFaOH/mBBCCCGEClE6z9m491it3zAI3i9q3t9Y4j5nbR48I4uRLM77qS 3Vlu1yePqz6GOcmh ua3wO0zfs7vM2Lry7bbaHvNyPxXf2kTl/vE7C4ekOJTCYh D79fACLR2hOHjEintLKyqq7a1v/elaF2WBDV HKZ7UobrtXv31ohpiCdql2yPgwa9j60noc1cfIYQQQsi0Ev895 2ErUr9hbb1XE3yRUs1D1m/FuCPLkSgHCVoCjbuLOqMW7j3JhWHnHz5csHmT85wdC7RchB2Dx 6x4/ pagyycNdR4zkVS5mkDgd/UgfqtnP1t7c Nr/0EgRKVxvw8NcxhBBCCKFilep7aw/dkdi Rfr4oucTaAPd53RH1key8M2ZofD0ZxF/RnWoh1R/plEadv3WaN3u/WxtMs/ZXHT/V492bXcs0HIR gfvt Junz5R7Tp34/oqd66LssCGrsMkT pA3XaP2TR1wyxBeLSoJ1rnCDFayk4jhBBCCBlVit/nbH0eb952 Gc/PrWl/gTa4sfS n 21jd1e2Q3kvY7yy1bNq53Dw1y BD1WUSfkftLCesfrw1YNeleaNU4I39UCycSkXPnpA4nQe0zF7a 7SiVOrQj9qx z4q3/2mj26RnVp7bM/6BUsS7KAhu0DtM8qUN1K4258Jurh63pAEvQtehCwINfx pI8JwIIYQQKk1DeU6EEEIIIYQQQqgtPCdCCCGEEEIIoVTCcyKE EEIIIYQQSiU8J0IIIYQQQgihVIr2nI9861GEEEIIIYQQQkijaM 5BgAAAAAAAKADzwkAAAAAAACpwHMCAAAAAABAKgbwnNXSlDeIz FSmmEqcpII4RyktAAAAANCwrOesqmq2HFdccUV5gwgZn9AUU4m TVEwuziuWZvTSAgAAAAAlw3jO3tPXbx8LG0ToM6EpphJnhimIc 85QU1xxxRVra2vzofr9Gxtn1F1NTSoAAAAAQEkSz9njvZ2dN9z NQTSn4B1EmMiCMZBXR86n8r17jzg1GW6yCl4uNhXjllbn2jU95 zKGczabxZZW4xamf7s5IJ4TAAAAYEBSec7QJ9Za70qj3iuHDEm UXez0SO4g7imEIlwFz7m2boTm2agbt23bFvuuPWQMYo2WfopYx vVy85Ru27bN218TZ6ja5UFi43TnCh2uvM9ZP /kPvo410tLcp7NVOM5AQAAAAZkBM 51ni/qH9P33z/pxlk/g5SeNcYNYjgOZc0WrEM5TmF1dEsSisAN9VRcdZepfkfE53v Iv3nEIe9J6zOZRykNg4W9EqPWdtIJur3xqnaS9btrOX55ytD7i t1tr6/57gOQEAAAASMc59zvqNae/39M23tr09p3KQlu2sFt1vtZznbI3gvmtffopQh/ptfXMjlArvIPMNb55jPWfIAAv0s7Uh5CkEQ9g5VL8lq7Na W51VjrP2QzV2758nK1ZhGSuhe9z1ke5l4iQ7YyKc73A5kW raq2zWbz3B7axnMCAAAApGMwz l98x1ynrK96Xzn2urQ23M2O8ies2k760NcpxH7rr0 sP63tbHmGIbR73M2p24G38Ka51xr JbmeclF0sPLuS39lsytLmGWTm8cmnT5OL0Bhw4P3ees/22N45rM5lH6OJsFNn9O19tVVW/jOQEAAACSYM5zLr479OCewyie0xtYb8/Zethsb/XpbQxaE8163eeswxMe9oizVTDCWjfpkYpWZ7lC1hS3fBPF2Qqs cm51tkYLxekWmGYQfZzuXHJCvPc5K8dMNsdpWdO14f6ec9u2be v k/ucAAAAAAkZ0nO6rjLkG5WeM RUW0z9PmdrwLVFq9B6E9/7ptla4216K8mtUxMMjLvR/Ahoc1c/QyissssyqVjz TphQUNGa81ZoOXjnAfWKobW4a2H3jib40QNoozT3eWdxTtFfZ z8n1otqbZ3rKd/Uqrdp5zw7m2ft8bzwkAAACQjoE9Z 3QQm6zfisZek9fTcdzrg1hCF130Rp2kCncjRBCKrwDNg9s7lom FdWi1/IG2W KZpCVY8CUqfDOIoSxpJcL9fdOMcgg/eKsLa73i3ZbU9T3OSvHWLbGadnRtYHuczY/Yct9TgAAAICk5PCcrm/Ue07BeMjGoGp8/Y Xeu 8v2YQr tljOEaz6r2fQwze0eU3T2FM4idpDm9vJGS170ZaaofJ7Tyyj3O TVUMZ4zNHVokN5x6lMh3Oesn/Xe9ua2Ps5q4ari367wnAAAAABpyPHZWteLKj1n1bjN6KK0izL6 QUKes0k/Q5jOc27zfUpzrWHnvLekWqlYchBlKkJ7Xdwli52i8t0DrxzcVH jH73QmS97y9U5RqT3ntvgf dTHGYvmPufa ul729eGu89Zf3sQ9zkBAAAAkpL8O4Sqvp6z0hlO7yBrivuclfj Z2mYfeZxmNnq7i9ZDb0srY5opqkUD38pwyD 7qVhmEH0qvHubhdSsnGWm8K6dd2U77x 6s7st/aoiNIW3/IQ4NSfbO07vXMLh7n3OkO2UDaf8Xz9unM1yXXeergvFcwIAAAA kIfnvcy6 2zvcEnpPX 9VGk7vIGui52x26HzXXjmfwhUY6k6R8N69n dcW7QxbqN3ikEG0cQp7HUZ0CN1ovFyoQJzB4mN0ztas6Rdj9Qa ZFvjG56atzrlQWLjbEYrlO6a7z7nmu/jtfNBWqa0WrSmsXF6V6quqFZ 8JwAAAAAA5LDc3rf6lVhz1nFGE7vIGvDeU63p0BOF6SZovXGvb U3dLPI6zl7D6KJU9jbLJhm5QwyRSfyfc7YQYQ IY8U6tzaK/yPiVv5nYNExemdK3S49z7nmvOh2RqvBV2Lv885x3sxmVfWtsXP HuM5AQAAAAYkuecMUYmeU8A9h9Sec000AN5IhD7Cu3YNsZ5zzb kv5G30TjHIIJo4hb1m73P2GETo41Zvs3/r2G3On2h642z9R0nlu9UZe3Ovc8nkw733OVtl1nqqNluWuc8ZF TOeEwAAAGBAUnlODWtDv6fXfJrOG4YmEs0bUGuec63rz/nkKQYZRBmnd69yyXpP0ckonlP4j5JmfznObb5vfqoWTWZoEGWc PQjd53TvYVbOB26Xv88pdA7FGXd6AAAAAOAjiefUk9RzjjiI0G dCU0wlzgxTEOecAT3nWteXBsn/jl5aAAAAAKBkGM95xXKUN4iQ8QlNMZU4ScXk4rxCvM p Xf00gIAAAAAJQN4ziXf2NXvQUsaRMj4hKYYZBBSUQ9CnPUUV6S/zzlInMIUAAAAAKBkWc 5pv6zSYHyBpGZyhRTiZNUEOcopQUAAAAAGgbwnAAAAAAAAABe8 JwAAAAAAACQimjP XoAAAAAAAAAHdGe8xMNTgAAAAAAAICVoccv0vX0nCeccMJzn/vc66 //sEHH5wBAAAAAADAapDDc55wwgkXXXTR/v37P/x3X0MIIYQQQgghtCLK5Dmf 9zn7t //9K/uwMhhBBCCCGE0Oooh c84YQTrr/ kuvuwMhhBBCCCGE0Eopk d88MEHL/tfuxBCCCGEEEIIrZQyec4f//jHH/n73QghhBBCCCGEVkohz/ma17xmSM85m80u/4c7EUIIIYQQQgitlLye8zXrDOk5//z6OxFCCCGEEEIIrZRcz/maRQbznB 74S6EEEIIIYQQQiulludsWs2Q7cRzIoQQQgghhNCCPvjxnX w7dLfO u/Da4/2HbpBz M csV1z12d97zgtPPuLoQeT1nKGHS3nOv/jM3QghhBBCCCFUpE5/x8XXf/5rex85OLiu//zXTn/HxTlnOfWYX77hso/8cPdtg8j1nO5HbYfxnP/js/cghBBCCCGEUJF69ZvP3fvIwc/feWBw7X3k4KvffG7OWU4 4ujH7vjSt6756CDK9Fspguesqk2bNm3dtGlrVW1d39h01FFHjV 40CCGEEEIIIaTUa95y3j8fOHjz7gOD658PHHzNW87LOcvJRxx9 8Ku3HLjq0kf 6tJH/urSR646pHnLgfnGXH/V2L7q0keuuuyRqy47dOBVl82Pzec5//LGb3i1adPWrVtnTW3atPWkk04K9UcIIYQWdcMrn1lVz3zPBYvt b39B9XNn3hA66oIzj6uqqqpe va Mz73nNFPHCGEkCG99pAbfHhw/fOBg699y3maWf7rxX x bQzQvqvF/ FcpaTjzh67cs7H/4flyzoykMbH3rPH9Vjfug97334ylbLH9U958rnOf/nTfd6tXXr1ptuuummm26azWbzja1bt5500kmh/gghhNCC/vK9P/fM436uOu73/nKh/R0vqH7uzM8ED3H6K/WOF1Rznvvfxj5xhBBClvTaPzx/z4GDN 0 MLj2HDj42j88XzPL5tPO H/DbD7tDOUsJx9x9PdvuXn/n1 8//KL919 8YN/fvGD69v7L79482lnzNbZfNoZ/9c7391q2f/nFz94 cUPrvfP5zn/asd9XoU8Z6g/Qggh1NQ7X1Ad8wf/ M4XVNULLnfb/Uf9zz86pnrZO3tMd 7Lqupl79xx clVdfK54587QgghO9ry1g/sOXDwxt0HBtd9Bx7b8tYPaGbp9JzCLHsOHKxnOfmIo7 78x/3ffj8By49/4FLz3/gwx944MMfeODS8x/48PkPXHr JW9/5 bTzvj/1mltX/L2dz5w6fn7Lj2//jef57z65j1ehTxnFSA0DkIIoZXU5c rnv3qq/ZcfdUfH1O9/F2NXe96YXXMG2/84Buffej141l//MGb91x9857DLVVVvfDyq2 8dXPqp533uXPq6pqfYR3vbCqj3rXG59dvfByZ9LqeeeNfu4IIY QMactbP7DnwGM37n5kcM09Zz3LfQcO3rT7Ea9qz9n6VG3jPqf/wJsWZ5l7zr2XnLP3z87Ze8k5919yzv2XHNrYe8k59//ZOX/2trdvPu2M/2eRzaed8Wdve/veuuefHeo/m82 EkN/z3nN5/d45fWc8xf6TZtmVTXbtGlWb5x00kmhcRBCCK2izn959aw//uDn91zz Rtf/azqeecf3vXuF1VVVR3zphuvWd9bvejyQ3uv/uNjqpe/ 1DPG1/9rOqYZ7381Vc3Djw05p5rzn95VTUOPKTLn1ctzIUQQgi97m0X3 PL1/R/ m9u8euufXCL8peVb/ SS0IEf/pvbbvn6/te97QLNLJtPO Nb3/rWt771rc2nnSE3yrOcfMTR37jswn84 VmC3vfC365Hng/ vhf trdnPs/5iZ17vRLuc 7du/emm27au3dvvXHSSSeFxkEIIbSCes LqmPetGO /advenb1oo81dzUffuLqs4 pnv2aq vtl7/n0K4dr3nW4UE sfNjv153845zqE/16x8Y//QRQgjZUacbnIXRuEHlLPv27du3b1/L09aNylk6PefccO5bJGQ783nOT37hfq OOuqok3yEPGdoHIQQQiuna85 RvXs117jf/jeF1XPOOvmRv P/Xq995qzn1H97nsPtd/82mdVv35Bc5B61/2f/ML9f3rWs6sXfWxx6o/9etU4BCGEEPrC/a972wW33rX/sk9/xavNp51xX5jNp50ROvCyT3/l1rv2v 5tFyzM8rdf8ap7lsCBl/3tV26966F6lrnn/Mwpx9/w/OM/8/zjb3j oY3PPP Ez5xywvtf/KLmRK3t97/4RZ855YTPnHL8Daccf8Mpx3/m Sfk85x//cUHohTynLHjIIQQKlWXvPl498/ n/Hmm d7/ h3Dm//9Rcf OsvXvEb1fFbPv7AX3/xgb/ NZnVL/7R4fab95ybPUbF653u/B3q8O71mf5nSsWp77iN6rGIQghhNAXH3j92y/40t0PffS6273afNoZd4fZfNoZoQM/et3tX7r7ode//YLmLJdfd7tXnbOEDrz8utu/dPfD9SwnH3H0vZd/8KbN/9HRc27a/B bs2w 7Yz/8//Y3GppHZXPc26/ZV UQp4zdhyEEEKF6nOvO7Z6xls 12z80FuOr47d9qFb9m2/Zd/ZL66qF//F4b0XvaKqXnH2fPuT255Rb9/yudcdW/3GRevdPrntGdXxr/vk4THb49yyb/stf/EbVeMQhBBC6JZ9p7/jwq/e9 hf3niPV 8 5yPC33O 5yPhA78yxvv ep9j57 jgtzznLyEUfvufLDO1/1/M /6rc//6rf3vnq5 989fN3vuqQzvndl9djnvO7L9/5qt92W3bOj3rV83e vn5POff3Lo/SiHPGTsOQgihMnXttg3V8a /1m2sfvPi/X9z6/6tL66q9e2/ufXK36yqDW/Z2ej2iq2Hjtr5 mPrboceVsdu /D84cWvqKqqevGVi7Nf ZtV8xCEEEJo/xnvuGjX/d/75Bf2Dq5d93/vjHdclHOWk484 v5PXHHrG1566xte1tBL63 /9Putxpfd vsvW xfd35pPs/56S8/FKWqqrY6nHTSSbHjIIQQKlLbXlJVx267tN3 hdcfW1UvuXLeYcMfXvn6Y9c/dPuSKw93 9S2DdUrtzUO c0POoOsH3XpHx6/cOyXH/r0l6/8zap1CEIIoVXXf3rXxXc9 IMUI9/14A/ 07suzjnLyUccvf/vPvHVt79 EOXznH9728Ox8n63UI9xEEIIod7a9pJqw1u/MHoYCCGEjOs/v/uD9zz82N9/7VuD656HH/vP7/5gzllOPuLoR/7xul1bz9p19lm7t561 yzdp991q65tr5p19azdm09a9fZb9p19pt2H3r4pl1nr2/Mt d7zz5r19ln5fOcf/eVhxFCCKGJ6b /sqpeuW30MBBCCJnXW973kRu/dM83DvxwcN34pXve8r6P5Jzld37 P3z2so985592DKJ8nvO6rx5ACCGE7OtPNje/B/eVfzJ2PAghhCahK2/Y/Zb3Xfb77/nvg st77vsyht255zlIx 77tRjfvnkI44eRPk859/f/ghCCCGEEEIIoZVSPs/5D1/7FkIIIYQQQgihlVI z3n9HY8ihBBCCCGEEFop5fCcVVV5PeesFxVkod/qpMNgSC3sR1gG5DkP1vJsLR4X xGWQal5LvW8rEGeYyFjsZAxgTE951o8c0f0ZEjMvDh6LFAi5lU 0dhQS9iMsA/KcB2t5thaPi/0Iy6DUPJd6XtYgz7GQsVjIWAg8Z4QBk7frhzWx7a1hvYdko U552nXbNd4j5UPEYbyPoc1UUX1lE/BbW9Nkf8qk i8lOsSSkVSCshzZz4N5lmZgai9azGVGVp3TWBR66JclM6M5UG5 Lpoz6syMfEg2YvOsTJHQoszPkpmJPa9EdJ6v3LjWlcbU8XeSM8 8pkhlqTMfUM5a//MhYCDxnhAF7csBkutvCLtdDhlzlWG6zOXsr7WtOdTYfarblXaH a12eU5hCmFQ Sj943T7iO059kvslTdOeh8nl2WGKyvIAACAASURBVN0VGlzZno cq4Dn7Pdc0e4Up3HiiAtNsC2ekOWshwqQsU5lRS6lpz0Nsnpc5 396V0yNFo9SPG4N7CrGN lIchWx5TpfMzGksIGPuduoTIWNe8JwRBky2i4JFLMZzuvUXqk6 hajsLOtQY8pxyVKFJNUd1xt8ZYWpi1yXUx9tNeWBmJpdneZew1 1Sel3yuCQ 9U7cq040nKjDNtnBGQqitPtOqTDfPnYsrt chNs/K0vV2W6ZyYrM0Sv24MbjnqG/sfDhu5dQxTMIPeB8KjekoIGOdu4aFjIXAc0YYMNcBrqDn9C6Hf lveJTcKnrNzBHdS5bxy/J0RpiZ2XUJ9vN2UB2ZmcnmWdwl7TeV5kOea96F36lZluvFEBab ZFs5ICLXVZ1qV6eZZWEpNex5i86ws3aqBt09s5cRmaZT6cWNwz 1Hf2Plw3MqpY5i6H8icxgIy1rlrWMhYCDxnhAFTek73puhsEWE QTXseentOt2flQzgkNBGe0zupcl1Cx4Ye6g/MjP08K vcO4imPQ/VoJ7TmwF9ZbrxRAUWyr8QlTLU1ozGKzN0rH5x5fY8xOY5NkVLV o53/BTnlQLv6egbOx OWzl1DFP3A5nTWEDGhPYUFJCxap1hA8ZzRhgw RZla29o19Tvc7ZKMFTHyvrWX0 9z2FNVKFJNUd1xt8ZYWpi1yXUx9tNeWBmppJnzRLIe03lefnnm juCvjLdeKIC02wLZySE2uozicr09vF2m0RlavoPUiGxlRObpVH qx43BPUd9Y fDcSunjqEMP5A6/uZ0ZCyKAjLWuasfeM4IA/ZktbEUdk3ac66pX06U9a2/Onifw51R6Z EoXmjuo31jtONqjPJ7rFuN2VCMjOVPGuWQN5rKs9DPdeiKrN 6MajD0y5HZpdDrXVZxKV6e3j7TaJytT0V6aoSaiPu 0dMNRnwPNKgfcc9Y2dD8etnDqGqfuBzGmcesbyV93UM6bZ1Q88 Z4QBi90u0nMuuS3vCvVf6/Kcoe3O55smTuXzM9tVpjXpIOdVrRMaXNOeh0nkuZVPOWOTyPOS zzV5b6hz3e7Gow9Mue0dMNQY6mO/MtfEPLdOahKVqemvLF33kN6V0yNFo9SPG4Ocn87MyA/HrZw6hqn7gcxpnHTGRim5YjI2ePbwnBEGzH3obW/ibZcH72zPg A518Q6ruk81t3V6tMcyvscjopKH0/oELe9Fcy47zjXAhlY63te8uoMfCZqJpTnUF21sjeJPGsyECqw1 rD9KjO07lGBdYYXahQGaXaYSmXKxwotcnseYvPcmSLhxHtUjlA hw55XIoTz1TSuhfM5btk0g8mW5xTJDDWmY9IZqxzynMV0Myb0X B48J/hpec7Ryfkc7of9CGUyv4z1Zup5ngrW8mwtHhf7EZZBqXku9bys QZ5jIWOxkLEQeE7wg eMxX6EZUCe82Atz9bicbEfYRmUmudSz8sa5DkWMhYLGQsxpud0 b3krcT/CCinovUAAAAAAAABzZuPe58QImWXTpk0D2tfl2bFjx9ghdGA/wjIgz3mwlmdr8bjYj7AMSs1zqedlDfIcCxmLhYwJjOk53RuvVd dflI3txVYFPGcs9iMsA/KcB2t5thaPi/0Iy6DUPJd6XtYgz7GQsVjImIA5z1mJtnNUI7ZC4DljsR9hGZDn PFjLs7V4XOxHWAbePFfOH924La3G sVOaHHH8fYZBOonD Q5FjIWCxkTsOg5q7DtTG62oKoqPGc89iMsA/KcB2t5thaPi/0Iy6CV5/o1S2hpttfbzfZQizuyd3sQqJ88kOdYyFgsZEzAqOeswr CCBnAc8ZiP8IyIM95sJZna/G42I wDHrf55y/tLl75WPdvXJ7b6ifPJDnWMhYLGRMwK7nrBQ/zA2JwHPGYj/CMiDPebCWZ2vxuNiPsAz6ec5q8WZmhedcVchzLGQsFjImYNpzV o7tzOW5Vh08Zyz2IywD8pwHa3m2Fo L/QjLIKnnnL/8dY7sNi4P9ZMH8hwLGYuFjAmY9pzc5xwLPGcs9iMsA/KcB2t5thaPi/0Iy6CH56wcq ndKx/bOeOSUD95IM xkLFYyJiAXc/p7sVzZgPPGYv9CMuAPOfBWp6txeNiP8Iy6Oc5m7h75WO9YYTae 0P95IE8x0LGYiFjApk85w13PNoU31trHDxnLPYjLAPynAdrebY Wj4v9CMtgkN9KqRxX6bbotweB skDeY6FjMVCxgQses6Q4cRzZgPPGYv9CMuAPOfBWp6txeNiP8I y4Pc5YRnIcyxkLBYyJpDLc 56tCnBcwqGE8 ZDTxnLPYjLAPynAdrebYWj4v9CMug1DyXel7WIM xkLFYyJiALc/ZydhebFXAc8ZiP8IyIM95sJZna/G42I wDErNc6nnZQ3yHAsZi4WMCYzmOZexQ5CBHQAAAAAAAMsxpufsZ 5EHu5EHIpu4zxmJ/QjLgDznwVqercXjYj/CMig1z6WelzXIcyxkLBYyJpDJc35m16NN8dla4 A5Y7EfYRmQ5zxYy7O1eFzsR1gGpea51POyBnmOhYzFQsYEsnnO bzeF5zQOnjMW xGWAXnOg7U8W4vHxX6EZeDNc7X099a2XgG9fYSRl4f6yUNn/SgrwVsbPTrbh8qMhYwJ4DnBA54zFvsRlgF5zoO1PFuLx8V hGXQynP9miW0NNvr7Wa729PbJzTyIFA/edDUT sQbyWE kd1ngRUZixkTCCX59z97abwnMbBc8ZiP8IyIM95sJZna/G42I wDHrf55y/tLl7q7Bn8DZ6OywP9ZMHzX3Ozr3K unsPAmozFjImEAmz/nZ3d uhee0D54zFvsRlgF5zoO1PFuLx8V hGXQz3NWi / KzznqhL12VrvXm9LaCi58ySgMmMhYwIjeM7P4jnNg eMxX6EZUCe82Atz9bicbEfYRkk9ZzecbxDDQ71k4eo 5xVwDQKNRPVeRJQmbGQMQE8J3jAc8ZiP8IyIM95sJZna/G42I wDHp4zsqxmt693nH0fZaE smDsn6a7e7qC/UQ1XkSUJmxkDGBTJ7zH3d/uyk8p3HwnLHYj7AMyHMerOXZWjwu9iMsg36es4m7NzRIaLRegX dA/eQBzxkLlRkLGRPI5Tnv/HZTeE7j4DljsR9hGZDnPFjLs7V4XOxHWAaD/FZKpfCc3j6hkZeH skDn62NhcqMhYwJ4DnBA54zFvsRlgF5zoO1PFuLx8V hGWQ6Pc5Q4O0 oRGXh7qJw a vHWhqZF33lCUJmxkDGBTJ7zxju/3RSe0zh4zljsR1gG5DkP1vJsLR4X xGWQal5LvW8rJEoz9U0/aQGKjMWMiaQzXN pyk8p3HwnLHYj7AMyHMerOXZWjwu9iMsg1LzXOp5WYM8x0LGYi FjApk8501f/85NX//Ojeu6/o5Hl7FDkIEdAAAAAAAAy5Hbc9aa3 fswWA38kBkE/c5I7EfYRmQ5zxYy7O1eFzsR1gGpea51POyBnmOhYzFQsYEMnnO HV//TlN8ttY4eM5Y7EdYBuQ5D9bybC0eF/sRlkGpeS71vKxBnmMhY7GQMYFcnvOu7zSF5zQOnjMW xGWAXnOg7U8W4vHxX6EZeDNc7X099a2XgG9fYSRl4f6yUNn/SgrwVsbPTrbh8qMhYwJ5POcNzeE5zQOnjMW xGWAXnOg7U8W4vHxX6EZdDKc/2aJbQ02 vtZrvb09snNPIgUD950NRP6xBvJYT6R3WeBFRmLGRMIJPnvBnP OSnwnLHYj7AMyHMerOXZWjwu9iMsg973Oecvbe7eKuwZvI3eDs tD/eRBc5 zc6 yfjo7TwIqMxYyJpDJc37u7u82hec0Dp4zFvsRlgF5zoO1PFuLx 8V hGXQz3NWi / KzznqhL12VrvXm9LaCi58ySgMmMhYwJ4TvCA54zFfoRlQJ7zYC 3P1uJxsR9hGST1nN5xvEMNDvWTh6j7nFXANAo1E9V5ElCZsZAx gUye8/N3f7cpPKdx8Jyx2I wDMhzHqzl2Vo8LvYjLIMenrNyrKZ3r3ccfZ8loX7yoKyfZru7 kI9RHWeBFRmLGRMIJfnvOe7TeE5jYPnjMV hGVAnvNgLc/W4nGxH2EZ9POcTdy9oUFCo/UKvAPqJw94zliozFjImEAmz7nznu82hec0Dp4zFvsRlgF5zoO1 PFuLx8V hGUwyG lVArP6e0TGnl5qJ888NnaWKjMWMiYQCbP YVvfLcpPKdx8Jyx2I wDMhzHqzl2Vo8LvYjLINEv88ZGqTVJzTy8lA/edDUj7c2NC36zhOCyoyFjAlk85zfawrPaRw8Zyz2IywD8pwHa3 m2Fo L/QjLoNQ8l3pe1kiU52qaflIDlRkLGRPI5Dn/6RvfawrPaRw8Zyz2IywD8pwHa3m2Fo L/QjLoNQ8l3pe1iDPsZCxWMiYQCbP cV7v9fU9Xc8uowdggzsAAAAAAAAWI4xPWc/izzYjTwQ2cR9zkjsR1gG5DkP1vJsLR4X xGWQal5LvW8rEGeYyFjsZAxgUye85Zvfr8pPltrHDxnLPYjLAP ynAdrebYWj4v9CMug1DyXel7WIM xkLFYyJhAJs956ze/3xSe0zh4zljsR1gG5DkP1vJsLR4X xGWgTfP1UDfW9tqccfx9hkE6icPyvqZ9aqWHp3tQ2XGQsYEMnn OL933/abwnMbBc8ZiP8IyIM95sJZna/G42I wDFp5rl zhJZme73dbA 1uCN7tweB slDZ/002 vtZru3xfuws/MkoDJjIWMCmTznl/d8vyk8p3HwnLHYj7AMyHMerOXZWjwu9iMsg973Oecvbe7eSjQG mu1BoH7yoK fHtUS23kSUJmxkDGBbJ5zrSk8p3HwnLHYj7AMyHMerOXZWjwu9 iMsg36es1p891/hOVcVTf30rpbYzpOAyoyFjAlk8py3/fNaU3hO4 A5Y7EfYRmQ5zxYy7O1eFzsR1gGiTznLPLvOd0Zl4T6yQOeMxYq MxYyJpDJc37ln9eawnMaB88Zi/0Iy4A858Fanq3F42I/wjLo4Tkrxzy4e739vSPL7b2hfvLQWT/LVEts50lAZcZCxgQyec6v7l1rCs9pHDxnLPYjLAPynAdrebYWj 4v9CMugn ds4u71toRGltt7Q/3kQeM5e1dLbOdJQGXGQsYEMnnO2/f oCk8p3HwnLHYj7AMyHMerOXZWjwu9iMsg0F K6Xq5TlD24NA/eShx2 l6KsltvMkoDJjIWMCmTzn1 7/QVN4TuPgOWOxH2EZkOc8WMuztXhc7EdYBvw JyxDut/nrBoeVVNaU4HKjIWMCeA5wQOeMxb7EZYBec6DtTxbi8fFfoRlU GqeSz0vayTKczVNP6mByoyFjAlk8px3PPCDpvCcxsFzxmI/wjIgz3mwlmdr8bjYj7AMSs1zqedlDfIcCxmLhYwJZPKcux74QV PX3/HoMnYIMrADAAAAAABgOfJ5zt37DjY1v8/Zg8Fu5IHIJu5zRmI/wjIgz3mwlmdr8bjYj7AMSs1zqedlDfIcCxmLhYwJZPKcd 472BSfrTUOnjMW xGWAXnOg7U8W4vHxX6EZVBqnks9L2uQ51jIWCxkTCCX53zwYFN 4TuPgOWOxH2EZkOc8WMuztXhc7EdYBt48V3xvLeho5bn1zqfV6 HZzB4zqPEWozFjImEAmz/n1/QebwnMaB88Zi/0Iy4A858Fanq3F42I/wjIIeQahpdlebzfbQy3uyN7tQaB 8uDWT6uDpjb6dZ4oVGYsZEwgk e8a/9jTeE5jYPnjMV hGVAnvNgLc/W4nGxH2EZ9L7POX9pc/dWolXQbA8C9ZMHPGcsVGYsZEwgk e8e/9jd 9/7O6HHptv4DmNg eMxX6EZUCe82Atz9bicbEfYRn085zVoh o8JyrivDZ2rqludfb4n3Y2XmiUJmxkDGBXJ7zoceawnMaB88Zi/0Iy4A858Fanq3F42I/wjJI5DlnkX/P6c64JNRPHoT7nFXANHqrRX/41KEyYyFjApk85z0PPdYUntM4eM5Y7EdYBuQ5D9bybC0eF/sRlkEPz1k5VtPd6 3vHVlu7w31kwchz6FKEOohqvNEoTJjIWMCmTznNx5 7BsPP3bPuvCcxsFzxmI/wjIgz3mwlmdr8bjYj7AM nnOJu5eb0toZLm9N9RPHvCcsVCZsZAxgWye84dN4TmNg eMxX6EZUCe82Atz9bicbEfYRkM8lspVS/PGdoeBOonD3y2NhYqMxYyJpDJc9574If3PnxYeE7j4DljsR9hG ZDnPFjLs7V4XOxHWAb8Picsg5tnTSV4W/SdJw2VGQsZE8joORvCcxoHzxmL/QjLgDznwVqercXjYj/CMig1z6WelzUGyXNVip/UQGXGQsYEMnnObx74YVN4TuPgOWOxH2EZkOc8WMuztXhc7EdYB qXmudTzsgZ5joWMxULGBEbznMvYIcjADgAAAAAAgOXI5znve SHTc3vc/ZgsBt5ILKJ 5yR2I wDMhzHqzl2Vo8LvYjLINS81zqeVmDPMdCxmIhYwJjek4 W2sWPGcs9iMsA/KcB2t5thaPi/0Iy6DUPJd6XtYgz7GQsVjImACeEzzgOWOxH2EZkOc8WMuztXhc 7EdYBt48V3xvLejQ1I mNoRKiOpsHyozFjImkM1z/ui R3503yM/nG/gOY2D54zFfoRlQJ7zYC3P1uJxsR9hGbTyXL9mCS3N9nq72R5qc Uf2bg8C9ZMHTf20tjUtUYdPCyozFjImkMlz8r210wLPGYv9CMu APOfBWp6txeNiP8Iy6H2fc/7S5u6tRGMQ2h4c6icPyvpptuurJbbzJKAyYyFjApk85137H2sK z2kcPGcs9iMsA/KcB2t5thaPi/0Iy6Cf56wW3/1XeM5VBc8ZC5UZCxkTyOQ5/ ne79X64r3fw3MaB88Zi/0Iy4A858Fanq3F42I/wjJI5Dlni9 K7x3H22EoqJ886D2nUC2hContPAmozFjImEAmz3nDHY/esOuw8JzGwXPGYj/CMiDPebCWZ2vxuNiPsAx6eM7KMQ/evfKxnUctCfWTh2XqZ4bnBAVkTADPCR7wnLHYj7AMyHMerOXZW jwu9iMsg36eoYm7Vz62c3sQqJ88KL 3NvSws36iOk8CKjMWMiaA5wQPeM5Y7EdYBuQ5D9bybC0eF/sRlsEgv5VSqY2BZnsQqJ88dNaPXEtytcR2ngRUZixkTADPCR7w nLHYj7AMyHMerOXZWjwu9iMsA36fE5ZB4zmbtBrdbu4gytKaCl RmLGRMAM8JHvCcsdiPsAzIcx6s5dlaPC72IyyDUvNc6nlZI1Ge q2n6SQ1UZixkTADPCR7wnLHYj7AMyHMerOXZWjwu9iMsg1LzXO p5WYM8x0LGYiFjAqN5zmXsEGRgBwAAAAAAwHKM6Tn7WWSlL617 6g BJpu4zxmJ/QjLgDznwVqercXjYj/CMig1z6WelzXIcyxkLBYyJjCm5 SztWbBc8ZiP8IyIM95sJZna/G42I wDErNc6nnZQ3yHAsZi4WMCUzYc84Cv7tVBb5orlJ8jZjXgLmDu B3cQdwNIUjv1FHRKh GzrGF13O6AWQj9ByWs TNW6KzaEXoXSzvLmFRUsQ5dZp5llPUqgR3byvP3v7eFVmFZXLr edzzda8AmkXp0WeoCL0Zq7Jci8rG 1rgfYJ3dus8KucTX3Ne3orqbOnXuVSGynO/zlMEBxULGRMo0HPOnNd7t3 oj5fOzt4OzXm9U sn1UQr91FOWjMJz1mf0Uz3o1jNbKSO0J2lWqwEoafcvuIM4jm9 D4VaEkbuDGOiCPU8yvl2xiM846L6pIvQnaLIyklNyNsLLc12/VGa hkQzXkJ8YRaog5fBQbJc7/OEwUHFQsZE5iw53SNhNsotIfG8e7yThRqaR0yT3RUPLHRdgapn LTG9ZyVcz3NSQ/P2eop7B2EYT3nWHm2j9ILudvKnLd2aVanyMWS6zn/KS/pOUMt r3LR hOUWTlpKb3fc7WhbfzKE2NDYjyvELxdF7lelwSi2SQPHsflppV HFQsZEwAz6na5Z0o1NI6xPtQnjQ22s4glZPW2PecrXgq8UIv70 0RoRCDEHnSCMsgqedUrkWrscj1mqLnbF7uZoFnVqtPaMwUEbpT FFk5qennOb2vX/pXilCNDQieMw94zlhwULGQMYEV8pyta0GoT z47mXF29/bHoonKtpQkHJUMi3PWY19Ge3tOb2pzhChtyqaG97I04VXDLGes 7Oxude7aprnY3kY95wz56ruLrS7RvqrxPIRaiqn1OJJyrieUzh 2SfReSK750LGZT8cs vrxPnOFA0vNKg4qFjImMG3P2XySt1pCD/V9QsO6neUpWhvCOCHkaDVBxk5q3HPWMbgbM1 EGeLv8R1CVaMkksZWEvL/Psgp9VaLdxzv4aHGIlfNuOfUPN/114RQy ARjp7GAujhOfX577x0CC1Lssx5zRQ1H9W5YLjPGQsOKhYyJoDn DPbxXu69neUpWrEJ44SQo9UEGTup6zmFGTMg3EOoFBd6eW iCEMxtILxtkOIHp7TLV1vqkMLJPQU kwdPGeKCEdPYwH082be1y/9K8Xg1eKi/D7V0MPOmo/qXDB4zlhwULGQMYHJe876ed75sNkuHxJqnDn VnN4a15vuzy7EK0ySOWkNU3PWTnXTbclNZ2/lVKpL/2Jgl/Sc ZP6UTpfMcgr7U320LBeNfFe3hhTPp7a5dpSRehO0WRlZOabL VkrRaXKKubD0izHw6ZunxCrLiWcVBxULGBAr0nO5FwW3vHCE0b Oi6LxzuxuAGGRqhM1ohyH6Tzpmc55w5xt7bMksWvP5OrDce7yq kiHPqDOI5Z77LgmZdhJ6FMbnf5xywZZAIvRlbhcpJzYi/z ltGQrNlc17LdJUuL5z8Qz4O6j6zpMGBxULGRMowXPC4Hh/n3NE7D H7UdYBuQ5D9bybC0eF/sRlkGpeU50XlUpzmcoBsnzSmW11GdcOsiYAJ4TPOA5Y7EfYRmQ 5zxYy7O1eFzsR1gGpea51POyBnmOhYzFQsYERvOcy9ghyMAOAA AAAACA5RjTc/azyEpfWvfUHwJNNnGfMxL7EZYBec6DtTxbi8fFfoRlUGqeSz0v a5DnWMhYLGRMYEzPyWdrzYLnjMV hGVAnvNgLc/W4nGxH2EZlJrnUs/LGuQ5FjIWCxkTmLDnnIW/0LV5hq0OrcZWOrwGzB3E7eAO4m4IQXqnjopW TB0ji28ntMNIBuh57CcJW/eEp1FK0LvYnl3CYuSIs6p41aC/JRptut7NvcKwdRr5 3snbdHY2vXkiceGrbV7n3GydlIirDurYfextBR6SJsTSoEKQTf miLqREK7Qiuu7zAuysr0Bi8kUFia1gh56scNQFnhQqiWlzUb7v N0mayGyqYkcFCxkDGBAj3nzHnVdPuH njp7Ozt0JzXO7V Uk20ch/lpDWT8Jz1Gc187/C8Lc1DkkbozlItVoLQU25fceQ8e vB2znUU37oHVC5spqRNaejb4watvXQuOeUn aPoOfSyhCTUloVk05ZlS7/mlih5BnEFqa7fV2s30WyLbwjE5dP80YQjMqrzYZin9C6F p3b2asikPHFQsZExgwp7TNRJuo9AeGse7yztRqKV1yDzRUfHER tsZpHLSGtdzVqNeYXt4zlZPYe8gDOs5x8qzfTrzLLR7097qqS8 edwR5ZTsnEvr0Pp0ew87x3leUD0mK8CoeCszNT9LrgLcylTUQW rVWwJqFE2aXY9B3GJfe9znl1wvNlSRpKvCceYjynALjXg9zgoO KhYwJ4DlVu7wThVpah3gfypPGRtsZpHLSGvuesxVPMzA3SHlvi giFGITIk0ZYBsY9p37kzgiFofSn02PYOVP0nM3L3cyXn6TXAe/9N2 o7sPQqrUC1ixcs0NUMeg7jEs/z9n5euHWT6hnIjSvcZ0V7n2YofgnhPDZ2rpFM45cNiWBg4qFjA mskOd0X7 9fWLHd6813v7e9lA8UdGGgpSjkml5zmrsl6ventOb6gwRequiu eGNPF14xSB8grG51p3PI29j6Ikjb/db2dhgepxO57Ch7M10f52Yk6E Xd9qSReht5yEhQitjvtv6xA3Evk05bLUdBiXdJ7Te2znMg1Fj9 c4YaEzF/ E0HxKv3OVhUUpDxxULGRMYNqes/V63GwJPdT3CQ3rdpanaG0I44SQo9UEGTupcc9ZOVd8OcIM8ff4 DqGqURJJYyuJzH/P2Wx0/w0N5faJmkjZR3M68rDCdJPwnHNCzzU35qRnkeKztd5/vd1CLfLefh3GpYfnHOr1In/9hCbqrOfMxT8hoj6lr3zGye1TBwcVCxkTwHMG 3hfiryd5SlasQnjhJCj1QQZO6nrOYUZM9D5XXOV Doh700UYSiGVjDedggxCc85W1zZ2ImUfTSnIw8rTKf5dsecTNR zypMqVy1qcWddi9VZY5oiHJF nnOQ14vM9dO5iJrS0nReKZb0nELqSs0qDioWMiYwec9ZXyY6Hz bb5UNCjTPH32oOb83rbZdnF6JVBqmctKbpOauYy24iNN8j32p0 W9ztdBEKSWsF40YLAvL9N2 SQ529PUMLIZSQvLKdR2n6dEauP3FlwM08G7wCaJ7v mtCngjdSZWrJmwIY2o66J8mdhjkt1L6vV7krB93oqh6zlz8E6L HlST0UO5cDDioWMiYQIGe071MuO2dI4SGDV10hMPdGNwgQyN0R isE2W/SOZPznDPH2HtbZsmC19 J9cbjXYUUcU4d Xcam0l2M nNbag8hLLpcYj3oTdCYdJQeYcaY4dtthv3nDPd813TkihCb86F yulctVlXPchHeefqDEYeeRQS/T6nt8UdJ1v9eANQVri 8wrS 0oyCz9Py84qDioWMiZQgueEwfH PueI2H8O24 wDMhzHqzlnGVyjgAAIABJREFU2Vo8LvYjLINS8zzIeVXlOp h6JHnFc9qqc 4dJAxATwneMBzxmI/wjIgz3mwlmdr8bjYj7AMSs1zqedlDfIcCxmLhYwJjOY5l7FDkI EdAAAAAAAAyzGm5 xnkZW tO6pPwSabOI ZyT2IywD8pwHa3m2Fo9LVIRV I82QcZ JfSj1POyBnmOhYzFQsYExvScfLbWLHjOWOxHWAbkOQ/W8mwtHhf7EZZBqXku9bysQZ5jIWOxkDGBCXvOWfgLXZtn2OrQa mylw2vA3EHcDu4g7oYQpHfqqGiVD0Pn2MLrOd0AshF6DstZ8uY t0Vm0IvQulneXsCgp4pw63kpwU qmMdToDiUvgXdvqDEUpyaYzs7Kxn649TxuWbrrLqxCVEuiCOXV j2qf fIfWy1ybBNCcwXwtswCKZUPdB/mqR/vXFH1nLP4J4RwZavU7 5WKqs4qFjImECBnnPmvEK7/UN9vHR29nZozuudWj pJlq5j3LSmkl4zvqMZs6biVBL85CkEbqzVIuVIPSU21ccped0H 2oavS39RpYHjxpH81DfR4lQz6NUZmc8/VryRNhqEQrGG GSVSeMPEVCnkFoabbX2832UB8hbznrp0c9Zy7 CSH4gdCLQqtDqHOpWcVBxULGBCbsOV0j4TYK7aFxvLu8E4VaWo fMEx0VT2y0nUEqJ61xPWfVdTlOSg/P2eop7B2EYT3nWHm2j/duwExcYm/phupZzrxmsYSF9parHKHyob6PErme89fnFD1n1Op7DxFCFQbxd s5wDcxD7/ucmteLVqLknnFxd6F/BZkp6jlz8U Izs9MCclZzazioGIhYwJ4TtUu70ShltYh3ofypLHRdgapnLTGv udsxVOJl355b4oIhRiEyJNGWAZ4zh6R9ADPuXyEUavvBilcIjo H8XaW 0yFfp5T83rR TTMXD tDlH1nLn4J4TGc9aE sxWKas4qFjImMAKeU73HYC3T z43guT29/bHoonKtpQkHJUMi3PWY19Ye3tOb2pzhChtyqaG97I04VXDJrPf HqfR6HG1vjeJ6B3ulCjd6HdRe8MpvOhG6d32H4Y95wz56ruVoK mJV2E8uq7PYVuoarrrHNvMKEBp8LqeM4eFS6EmjT4CdFZP2S1B Q4qFjImMG3P2XpFb7aEHur7hIZ1O8tTtDaEcULI0WqCjJ3UuOe sY3A3Zr4IM8Tf46 5qkZJJI2tJJSe0z1Q2SgvgWYQ7/q21jpqHM1DfR8lxj2nu 79WlJHqFn9zitDj6oLdXbzMDl6eE7N60Xn6gjbg8Dfc ZBWT/e9tXMKg4qFjImgOcM9vG jHk7y1O0YhPGCSFHqwkydlLXcwozZkDzXXPNva3D5b2JIgzF0A rG2w4hOithZsxzyhuacTQP9X2U4DmHirBz9ftdGTSDeDuPdQ0f in6es/P1IvQap9keBDxnHkKfmfJCVmc4qHjImMDkPaf7ghF62GyXDwk1 zsKvT8LhrXm97fLsQrTKIJWT1jQ9Z VcSd2W1ET93X8lvhgkCn5Jz5k/pROlmedQkr3JVDbKC9Ha653OXWhho3Nw5UN9HyV8b 1QEXauvnxlCPXXDOLubY08RQb5rRShEoSHo9TPrFc9Zy7 CdHpOclqCxxULGRMoEDP6V4m3PbOEULDhl7bhMPdGNwgQyN0Ri sE2W/SOZPznDPH2HtbZsmC19 J9cbjXYUUcU6dwT1n6JkVWgLv3lBjKIbQ4gpTu2Xjdh6w1Pl9z iUjlFdQUzBy/1Dn1IUxOvw Z2eLvvMKornPSVab4KBiIWMCJXhOGBzv73OOiP3nsP0Iy4A858 Fanq3F42I/wjIoNc DnFdVrvMZih55XvGslvqMSwcZE8Bzggc8Zyz2IywD8pwHa3m2F o L/QjLoNQ8l3pe1iDPsZCxWMiYwGiecxk7BBnYAQAAAAAAsBxjes5 FlnpS ue kOgySbuc0ZiP8IyIM95sJZna/G4REVYdf1lL4SwXwn9KPW8rEGeYyFjsZAxgTE9J5 tNQueMxb7EZYBec6DtTxbi8fFfoRlUGqeSz0va5DnWMhYLGRMY MKecxb 2snmGbY6tBpb6fAaMHcQt4M7iLshBOmdOipa5cPQObbwek43gG yEnsNylrx5S3QWrQi9i XdJSxKijinjrcS3JS6aQw1ukPJS DdG2oMxakJprOzsrEfbj2PW5buugurENWSKEJ59aPaZ3xvbQPN FcDbMgukVD7QfZinfrxzRdVzzuKfEMKVrVK/u1uprOKgYiFjAgV6zpnzCu32D/Xx0tnZ26E5r3dq/aSaaOU yklrJuE56zOaOW8mQi3NQ5JG6M5SLVaC0FNuX3GUntN9qGn0tv QbWR48ahzNQ30fJUI9j1KZnfH0a8kTYatFKBhvhEtWnTDyFAl5 BqGl2V5vN9tDfYS85ayfHvWcufgnhOAHQi8KrQ6hzqVmFQcVCx kTmLDndI2E2yi0h8bx7vJOFGppHTJPdFQ8sdF2BqmctMb1nFXX 5TgpPTxnq6ewdxCG9Zxj5dk 3rsBM3GJvaUbqmc585rFEhbaW65yhMqH j5K5HrOX59T9JxRq 89RAhVGMTbOcM1MA 973NqXi9aiZJ7xsXdhf4VZKao58zFPyE6PzMlJGc1s4qDioWMC eA5Vbu8E4VaWod4H8qTxkbbGaRy0hr7nrMVTyVe uW9KSIUYhAiTxphGeA5e0TSAzzn8hFGrb4bpHCJ6BzE21nuMxX 6eU7N60Xn0zBz/bQ6RNVz5uKfEBrPWRPqM1ulrOKgYiFjAivkOd13AN4 seN7L0xuf297KJ6oaENBylHJtDxnNfaFtbfn9KY6Q4TeqmhueC NPF14xaD7z6X0ehRpb43ufgN7pQo3ehXYXvTOYzodunN5h 2Hcc86cq7pbCZqWdBHKq /2FLqFqq6zzr3BhAacCqvjOXtUuBBq0uAnRGf9kNUWOKhYyJjAt D1n6xW92RJ6qO8TGtbtLE/R2hDGCSFHqwkydlLjnrOOwd2Y SLMEH Pv aqGiWRNLaSUHpO90Blo7wEmkG869ta66hxNA/1fZQY95zuuvdrSR2hZvU7rww9qi7U2c3D5OjhOTWvF52rI2wPA n/PmQdl/XjbVzOrOKhYyJgAnjPYx/sy5u0sT9GKTRgnhBytJsjYSV3PKcyYAc13zTX3tg6X9yaKMBRD KxhvO4TorISZMc8pb2jG0TzU91GC5xwqws7V73dl0Azi7TzWNX wo nnOzteL0GucZnsQ8Jx5CH1mygtZneGg4iFjApP3nO4LRuhhs10 JNQ4C78 CYe35vW2y7ML0SqDVE5a0/SclXMldVtSE/V3/5X4YpAo CU9Z/6UTpRmnkNJ9iZT2SgvRGuvdzp3oYWNzsGVD/V9lPC9tUNF2Ln68pUh1F8ziLu3NfIUGeS3UoRKEB6OUj zXvWcufgnRKfnJKstcFCxkDGBAj2ne5lw2ztHCA0bem0TDndjc IMMjdAZrRBkv0nnTM5zzhxj722ZJQtefyfWG493FVLEOXUG95y hZ1ZoCbx7Q42hGEKLK0ztlo3becBS5/c5l4xQXkFNwcj9Q51TF8bo8PucnS36ziuI5j4nWW2Cg4qFjAmU 4DlhcLy/zzki9p/D9iMsA/KcB2t5thaPi/0Iy6DUPA9yXlW5zmcoeuR5xbNa6jMuHWRMAM8JHvCcsdiPsAzI cx6s5dlaPC72IyyDUvNc6nlZgzzHQsZiIWMCo3nOZewQZGAHAA AAAADAcozpOftZZKUvrXvqD4Emm7jPGYn9CMuAPOfBWp6txeMS FWHV9Ze9EMJ JfSj1POyBnmOhYzFQsYExvScfLbWLHjOWOxHWAbkOQ/W8mwtHhf7EZZBqXku9bysQZ5jIWOxkDGBCXvOWfhrJ5tn2OrQa mylw2vA3EHcDu4g7oYQpHfqqGiVD0Pn2MLrOd0AshF6DstZ8uY t0Vm0IvQulneXsCgp4pw63kpwU qmMdToDiUvgXdvqDEUpyaYzs7Kxn649TxuWbrrLqxCVEuiCOXV j2qf8b21DTRXAG/LLJBS cDQKgyew6grm9DSr/Pq0C/P8q6yU4qDioWMCRToOWfOK7TbP9THS2dnb4fmvN6p9ZNqopX7K CetmYTnrM9o5rwzCLU0D0kaoTtLtVgJQk 5fcVRvmNwH2oavS39RpYHjxpH81DfR4lQz6NUZmc8/VryRNhqEQrGG GSVSeMPEVC/xsitDTb6 1me6iP8HqRoX6EVeus58zFPyF65FnYlfRNhRFwULGQMYEJe073 Oe82Cu2hcby7vBOFWlqHzBMdFU9stJ1BKietcT1n5bxu5aSH52 z1FPYOwrCec6w828d7v2smLrG3dEP1LGdes1jCQnvLVY5Q VDfR4lcz/nrc4qeM2r1vYcIoQqDeDtnuAbmofd9Ts3rRStR3nFCjUvSeV5R 9Zy5 CeEsn687fJylAoOKhYyJoDnVO3yThRqaR3ifShPGhttZ5DKSWv se85WPJX4AiDvTRGhEIMQedIIywDP2SOSHuA5l48wavXdIIVLR Ocg3s5yn6nQz3NqXi80T0OhcUnwnHnAc8aCg4qFjAmskOd03wF 4 8SO7321c/t720PxREUbClKOSqblOauxL6 9Pac31Rki9FZFc8MbebrwikHzmU/v8yjU2Brf wT0Thdq9C60u idwXQ dOP0DtsP455z5lzV3UrQtKSLUF59t6fQLVR1nXXuDSY04FQY3X Mmyh6eMw/6 pGfd/LhJYGDioWMCUzbc7Ze0ZstoYf6PqFh3c7yFK0NYZwQcrSaIGMn Ne456xjcjVng9UPYmzRCt6W1MXpup4XSc7oHKhvlJdAM4l3f1l pHjaN5qO jxLjndNe9X0vqCDWr33ll6FF1oc5uHiZHD8 peb3oXB2hZRDwnHngPmcsOKhYyJgAnjPYx/ti4 0sT9GKTRgnhBytJsjYSV3PKcyYAeFbNCvFC6q8N1GEoRhawXjb IURnJcyMeU55QzOO5qG jxI851ARdq5 vyuDZhBv57Gu4UPRz3N2vl6EXuOyVT6eMw94zlhwULGQMYHJe0 73BSP0sNkuHxJqnIVfn4TDW/N62 XZhWiVQSonrWl6zsq5nrotqen8rZTKeQFwW9ztdBEKSWsF40YL As08h5LsTaayUV6I1l7vdO5CCxudgysf6vso4Xtrh4qwc/XlK0Oov2YQd29r5CkyyG lCJXQ43k3CHjOPPTIc2y3wsBBxULGBAr0nO5lwm3vHCE0bOi1T TjcjcENMjRCZ7RCkP0mnTM5zzlzjL23ZZYseP2dWG883lVIEef UGdxzhp5ZoSXw7g01hmIILa4wtVs2bucBS53f51wyQnkFNQUj9 w91Tl0YozPi73OGhh2EoX6f060EofMK0jvPoV3u4YWBg4qFjAm U4DlhcLy/zzki9p/D9iMsA/KcB2t5thaPi/0Iy6DUPA9yXlXR5mcQeuR5xbNa6jMuHWRMAM8JHvCcsdiPsAzI cx6s5dlaPC72IyyDUvNc6nlZgzzHQsZiIWMCo3nOZewQZGAHAA AAAADAcozpOftZZKUvrXvqD4Emm7jPGYn9CMuAPOfBWp6txeMS FWHV9Ze9EMJ JfSj1POyBnmOhYzFQsYExvScfLbWLHjOWOxHWAbkOQ/W8mwtHhf7EZZBqXku9bysQZ5jIWOxkDGBCXvOWfhrJ5tn2OrQa mylw2vA3EHcDu4g7oYQpHfqqGiVD0Pn2MLrOd0AshF6DstZ8uY t0Vm0IvQulneXsCgp4pw63kpwU qmMdToDiUvgXdvqDEUpyaYzs7Kxn649TxuWbrrLqxCVEuiCOXV j2qf8b21DTRXAG/LLJBS cDQKgyeQ EZ5y5u51nEdl4d l1JWu3yohQGDioWMiZQoOecOa/Qbv9QHy dnb0dmvN6p9ZPqolW7qOctGYSnrM o5nzziDU0jwkaYTuLNViJQg95fYVR k53YeaRm9Lv5HlwaPG0TzU91Ei1PMoldkZT7 WPBG2WoSC8Ua4ZNUJI0 RkDcTWprt9XazPdRHeL0YsX5minrOXPwToseVJPRQ7lwMOKhYy JjAhD2nayTcRqE9NI53l3eiUEvrkHmio KJjbYzSOWkNa7nrJzLcU56eM5WT2HvIAzrOcfKs328/0s9E5fYW7qhepYzr1ksYaG95SpHqHyo76NEruf89TlFzxm1 t5DhFCFQbydM1wD89D7Pqfm9aKVKO84ocYlwXPmoTPPwt5R3lq MDg4qFjImgOdU7fJOFGppHeJ9KE8aG21nkMpJa x7zlY8lXjpl/emiFCIQYg8aYRlgOfsEUkP8JzLRxi1 m6QwiWicxBvZ7nPVOjnOTWvF5qnodC4JJ2fZo q58zFPyGW9Jydi1IeOKhYyJjACnlO9x2At0/s O6Fxtvf2x6KJyraUJByVDItz1mNfWHt7Tm9qc4QobcqmhveyNO FVwyaz3x6n0ehxtb43iegd7pQo3eh3UXvDKbzoRund9h GPecM eq7laCpiVdhPLquz2FbqGq66xzbzChAafC6J4zUfYG V VqMNXE/1fqsstq5NVHFQsZExg2p6z9YrebAk91PcJDet2lqdobQjjhJCj 1QQZO6lxz1nH4G7MdC8V2SJ0W1obo d2Wig9p3ugslFeAs0g3vVtrXXUOJqH j5KjHtOd937taSOULP6nVeGHlUX6uzmYXL08Jya14vO1RFaBkF 4n9qjnjMX/4RQ/qV6Z4pWJ6s4qFjImACeM9jH 2Lj7SxP0YpNGCeEHK0myNhJXc8pzJiBzu/0q8RLv7w3UYShGFrBeNshhPLbHd0DlY3yKmgGccMQNjTjaB7q yjBcw4VYefq97syaAbxdh7rGj4U/Txn5 tF6DUuW XjOfPQ 38tW6xOVnFQsZAxgcl7TvcFI/Sw2S4fEmqchV fhMNb83rb5dmFaJVBKietaXrOyrmSui2p6fytlMq59Lst7na6C IWktYJxowWBZp5DSfYmU9koL0Rrr3c6d6GFjc7BlQ/1fZTwvbVDRdi5 vKVIdRfM4i7tzXyFBnkt1KESujxvBsEPlubh6g8t1jNrOKgYiF jAgV6Tvfi67Z3jhAaNvTaJhzuxuAGGRqhM1ohyH6Tzpmc55w5x t7bMksWvP5OrDce7yqkiHPqDO45Q8 s0BJ494YaQzGEFleY2i0bt/OApc7vcy4ZobyCmoKR 4c6py6M0Rnx9zlDww7CgBWu77yCaP4yXHgGrWBWcVCxkDGBEjw nDI739zlHxP5z2H6EZUCe82Atz9bicbEfYRmUmudBzqsq1/kMRY88r3hWS33GpYOMCeA5wQOeMxb7EZYBec6DtTxbi8fFfoRl UGqeSz0va5DnWMhYLGRMYDTPuYwdggzsAAAAAAAAWI4xPWc/i6z0pXVP/SHQZBP3OSOxH2EZkOc8WMuztXhcoiKsuv6yF0LYr4R lHpe1iDPsZCxWMiYwJiek8/WmgXPGYv9CMuAPOfBWp6txeNiP8IyKDXPpZ6XNchzLGQsFjImM GHPOQt/7WTzDFsdWo2tdHgNmDuI28EdxN0QgvROHRWt8mHoHFt4PacbQD ZCz2E5S968JTqLVoTexfLuEhYlRZxTx1sJbkrdNIYa3aHkJfDu DTWG4tQE09lZ2dgPt57HLUt33YVViGpJFKG8 lHtM763toHmCuBtmQVS2nroFkxrhDz1IwTsDVsTYc6ng1mGynO PzhMFBxULGRMo0HPOnFdot3 oj5fOzt4OzXm9U sn1UQr91FOWjMJz1mf0cx5zQi1NA9JGqE7S7VYCUJPuX3FUXpO 96Gm0dvSb2R58KhxNA/1fZQI9TxKZXbG068lT4StFqFgvBEuWXXCyFMk9L8hQkuzvd5ut s8C6yXkLUP9dK5aVIVnfjqYpTPPrb0zdVbdljKyioOKhYwJTNh z1peD1nazUWgPjePd5Z0o1NI6ZJ7oqHhio 0MUjlpjes5K fim5MenrPVU9g7CMN6zrHybB/v/a6ZuMTe0g3Vs5x5zWIJC 0tVzlC5UN9HyVyPeevzyl6zqjV9x4ihCoM4u2c4RqYh973OeXX i1BOsuVNc/ tc2/nZVDZuWCU9aNsHOXNRmZwULGQMQE8p2qXd6JQS sQ70N50thoO4NUTlpj33O24qnEC728N0WEQgxC5EkjLAM8Z49I eoDnXD7CqNV3gxQuEZ2DeDvLfaZCP8/Z XrRern0jpM0b1Gf QzF1nkZVHYumME9Z eiTB0cVCxkTGCFPGfo8u0eEjW e1nx9ve2h KJijYUpByVTMtzVmNfRnt7Tm qM0TorYrmhjfydOEVg Yzn97nUaixNb73CeidLtToXWh30TuD6Xzoxukdth/GPefMuaq7laBpSRehvPpuT6FbqOo669wbTGjAqZDOc3qPDT2/escfIuo Z48Kz/x0MMtQfw/stpSaVRxULGRMYNqes/WK3mwJPdT3CQ3rdpanaG0I44SQo9UEGTupcc9Zx BuzHQvDNkidFtaG6PndlooPad7oLJRXgLNIN71ba111Diah/o Sox7Tnfd 7WkjlCz p1Xhh5VF rs5mFy9PAMQ71e5KwfeZYeFZ756WCWZT6bLY9calZxULGQMQE8 Z7CP96Lj7SxP0YpNGCeEHK0myNhJXc8pzJgB4Vs0K8WFXt6bKM JQDK1gvO0QorMSZsY8p7yhGUfzUN9HCZ5zqAg7V7/flUEziLfzWNfwoejnOQd5vchZP/IsPSo889PBLD2 hc7bEhqkvKzioGIhYwKT95z187zzYbNdPiTUOHP8rebw1rzedn l2IVplkMpJa5qes p1/R2Wzt9KqZwLvdvibqeLUEhaKxg3WhBo5jmUZG8ylY3yQrT2eqd zF1rY6Bxc VDfRwnfWztUhJ2rL18ZQv01g7h7WyNPkUE G9nv9SJn/Whmj6rwzE8Hs/T 5nMvq5BVHFQsZEygQM/pXi/c9s4RQsOGXtuEw90Y3CBDI3RGKwTZb9I5k/OcM8fYe1tmyYLX34n1xuNdhRRxTp3BPWfomRVaAu/eUGMohtDiClO7ZeN2HrDU X3OJSOUV1BTMHL/UOfUhTE6iX6f09vijpOtfpSzK1v0nYunn cUnlPFZxUHFQsZEyjBc8LgeH fc0TsP4ftR1gG5DkP1vJsLR4X xGWQal5TnReVSnOZygGyfNKZbXUZ1w6yJgAnhM84DljsR9hGZD nPFjLs7V4XOxHWAal5rnU87IGeY6FjMVCxgRG85zL2CHIwA4AA AAAAIDlGNNz9rPISl9a99QfAk02cZ8zEvsRlgF5zoO1PFuLx0U fYdX1Z70gYL8S lHqeVmDPMdCxmIhYwJjek4 W2sWPGcs9iMsA/KcB2t5thaPi/0Iy6DUPJd6XtYgz7GQsVjImMCEPecs/LWTzTNsdWg1ttLhNWDuIG4HdxB3QwjSO3VUtMqHoXNs4fWcbgD ZCD2H5Sx585boLFoRehfLu0tYlBRxTh1vJYRy1ZlPsh3CredxE Wueyse71orrwkpIgxddoR2b5I1/Zt7hSS4Jz76svZAeQUIPd b2521oc/k8nSel7y4wlkIuya3 sszVJ57dJ4oOKhYyJhAgZ5z5ryUuv1Dfbx0dvZ2aM7rnVo/qSZauY9y0ppJeM76jGbOa0aopXlI0gjdWarFShB6yu0rTqznFI Zq7SXhTYR6HiVRnfEIzzhvn8HPwuvS3elCVSe0d44TGqTfjMYJ/W I0NJsr7eb7T1aBkdzXq1Doio889PBLJ15bu2dqbPqtpSRVRxUL GRMYMKe0zUSbqPQHhrHu8s7Uaildcg80VHxxEbbGaRy0hrXc1b OxTcnPTxnq6ewdxCG9Zxj5dk 3vtds15pJMkCyrt22cBzCv1Dg0TNOBV63 fs93rRbEmaMc39t869Qv/MTwez6P/XMurZ5G0pI6s4qFjImACeU7XLO1GopXWI96E8aWy0nUEqJ62x7 zlb8VTihV7emyJCIQYh8qQRlgGeMw9T9JzNy12oj3eEdBG6wYQ yKbfL4wgXE/2MU6Gf5 z9etE6vFVjAxL1mU/vXm9LaCi5c8EM7jk7F2Xq4KBiIWMCK Q5Q5dv95Co8d3Lire/tz0UT1S0oSDlqGRanrMa zLa23N6U50hQm9VNDe8kacLrxiiPvPpfTa5/YU K4txzzlzVs2tBE1LughDT/NQJltXYM043s5yozcD06r/pJ7Tm4fOowYh6j5njwrP/HQwy1B/D y2lJpVHFQsZExg2p6z SRvtYQe6vuEhnU7y1O0NoRxQsjRaoKMndS456xjcDdmuheGbBG 6La2N0XM7LWI9pzBUay/Jb2Lcc2rW3e2T9LkmX6O8V6qodmGc0CD9ZjROD8 Q4vUidf1oZo q8MxPB7Ms89lseeRSs4qDioWMCeA5g328Fx1vZ3mKVmzCOCHka DVBxk7qek5hxgwI36JZKS708t5EEYZiaAXjbYcQnZXQ2isM1dp L/pvgOYeNMPQ0j2oPjSNfQ2JnNE4/z9nv9ULISer6kWfpUeGZnw5m0eQ59qWk2ae8rOKgYiFjApP3nP XzvPNhs10 JNQ4c/yt5vDWvN52eXYhWmWQyklrmp6z6nX9HZbO30qpnAu92 Jup4tQSForGDdaEGjmubMy5ax6FwLmTPp7a/Ut2SL0Pv1ngctCqD00TmiQfiMbZ5DPRsZWS ioAeGztXno4TmF5KxCVnFQsZAxgQI9p3u9cNs7RwgNG3odEg53 Y3CDDI3QGa0QZL9J50zOc84cY 9tmSULXn8n1huPdxVSxDl1Yj2nnE/vAsFsgr/P2bslUYTCZcebzFB/oV04u2a7JhK3m1my/T5nKJl56scNWBNzqEXfuXj6eU7haVV8VnFQsZAxgRI8JwyO9/c5R8T c9h hGVAnvNgLc/W4nGxH2EZlJrnROdVleKPQLUuAAARTUlEQVR8hmKQPK9UVkt9x qWDjAngOcEDnjMW xGWAXnOg7U8W4vHxX6EZVBqnks9L2uQ51jIWCxkTGA0z7mMHYI M7AAAAAAAAFiOMT1nP4s82I08ENnEfc5I7EdYBuQ5D9bybC0eF/sRlkGpeS71vKxBnmMhY7GQMYExPSefrTULnjMW xGWAXnOg7U8W4vHxX6EZVBqnks9L2uQ51jIWCxkTADPCR68nrM a7 /mW8/hVrTellneL5RrRuhNqRBka6jO8CrxS/ZCIwjZ8CYtUaKWhKt5HoRnnIV4Zkt8h2eiau 8RjV3ebebLZprhfcsvKOFApOHtYn3CqA58ZmT eXrZ0A6zytUEvoIc56OWYbKc4/OE4XX3FjImACeEzzY95xC58r56v9QS7oIO0MSIumMrep6jyi3V I2XRk08puBqngfhGTdKhXTGs3zLsBG6cXobQ0/V0IGdT2T54uB92Hk9MUXI2wstzfZ6u9neu2VANOfVOiQqwsynY 5bOPLf2zmKeX3LnicJrbixkTADPCR5cz1kN/RYtCr3nrGLeVaSLsDMkIRI5Nu 5CA jpu6cfXS4mudBfsblL5IoDxxqka8Jw0YYG0lrO/Tc7Ozc47o3 uJG0fs ZzN7y9fP4Gjuv3XuFfpnfkE0S7//Gwo1ahZl6vCaGwsZE8Bzggf7nrOm1bMKv6twW9JF6J3IO6lwCs KArWGFh1FTd84 OlzN87A6njN0JVkyQn0kQnjyscK1rsewch879POcodRpjnUPT0 HUZz69e70toaHkzgUzuOfsXJSpw2tuLGRMAM8JHlqesxr7Mqp8 xylvJz0LzStZM8NCJEJs3gObZ eeqTt7Zzxuox24mufBuOec eq5bhRaWuU94DVBeQXQ7HLjbPZpPfHlzm5Pb5AthNMcndSeUxg qaYqi7nOGqld5XoMX/4QY6u B3ZZSs8prbixkTADPCR6Me84modjc7aRn4X1P3Nmi7 buqrebZ eeqTCIMh5TcDXPg3HPKT Xh2pZJkLvmEteoLxP dCBnY2aIA3SwzO4p6951YjtuST6 2 zcMEIEWZ QTTLMp/NlkcuNau85sZCxgTwnODB9ZxN8pdpj7 WrPK xGr 4lTZKMTmXQhhIzRIbJB24GqeBzznkhF6x5Sfv7OY56ZmBHkuIU jvCRqhn dspUKZ887XlAHBc Yh9v GQi2hQcrLKq 5sZAxATwneGh6zmroN2c90LzjrEZ9iW39Voq3j7ddn95QTzcD8 phCN2F2I3A1z8MKfm/tkufV7ztgOp/UwmjeJ3LocG 70GiWQT4bqc9YqCXpK0jnjD3qOfMLoll6eE4hOauQVV5zYyFjA nhO8GDcc84a/3XdbNH0abWkiNCbUrfd2znULXSCQrvbGMqGHI8puJrnYUV n9PbMlSEs U8p/e56R28s2dUZ4PP iaJfp/TTXhoCRI9C6Luk8e26DsXTz/PKTxris8qr7mxkDEBPCd48P4 54jYfw7bj7AMyHMerOXZWjwu9iMsg1LznOi8qlKcz1AMkueVym qpz7h0kDEBPCd4wHPGYj/CMiDPebCWZ2vxuNiPsAxKzXOp52UN8hwLGYuFjAmM5jmXsUOQg R0AAAAAAADLMabnHNlrAwAAAAAAQHrwnAAAAAAAAJAKPCcAAAA AAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAA AAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCc AAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKP CcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJA KPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAA JAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAA AAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAA AAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAA AAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwn AAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCr wnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQ CrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAA AQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAAA AAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzAgA AAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcBzA gAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAqcB zAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAAAq cBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAAAA AqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAAAA AAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JAAA AAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8JA AAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkAs8 JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAACkA s8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAAAC kAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAAAA ACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAAAA AAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCcAA AAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKPCc AAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJAKP CcAAAAAAACkAs8JAAAAAAAAqcBzAgAAAAAAQCrwnAAAAAAAAJA KPCcAAAAAAACkAs8JAAAAAAAAqcBzAgAA/P/t3V1yG0UARlGW6gcvjA2xF 8gPBhSYiSNRz1zNT cU19Rsh3cbYuXi5UEAKhoTgAAACqaEwAAgIrmBAAAoKI5AQAAq GhOAAAAKpoTAACAiuYEAACgojkBAACoaE4AAAAqmhMAAICK5gQ AAKCiOQEAAKhoTgAAACqaEwAAgIrmBAAAoKI5AQAAqGhOAAAAK poTAACAiuYEAACgojkBAACoaE4AAAAqmhMAAICK5gQAAKCiOQE AAKhoTgAAACqaEwAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTAACAi uYEAACgojkBAACoaE4AAAAqmhMAAICK5gQAAKCiOQEAAKhoTgA AACqaEwAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTAACAiuYEAACgo jkBAACoaE4AAAAqmhMAAICK5gQAAKCiOQEAAKhoTgAAACqaEwA AgIrmBAAAoKI5AQAAqGhOAAAAKpoTAACAiuYEAACgojkBAACoa E4AAAAqmhMAAICK5gQAAKCiOQEAAKhoTgAAACqaEwAAgIrmBAA AoKI5AQAAqGhOAAAAKpoTAACAiuYEAACgojkBAACoaE4AAAAqm hMAAICK5gQAAKCiOQEAAKhoTgAAACqaEwAAgIrmBAAAoKI5AQA AqGhOAAAAKpoTAACAiuYEAACgojkBAACoaE4AAAAqmhMAAICK5 gQAAKCiOQEAAKhoTgAAACqaEwAAgIrmBAAAoKI5AQAAqGhOAAA AKpoTAACAiuYEAACgojkBAACoaE4AAAAqmhMAAICK5gQAAKCiO QEAAKhoTgAAACqaEwAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTAAC AiuYEAACgojkBAACoaE4AAAAqmhMAAICK5gQAAKCiOQEAAKhoT gAAACqaEwAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTAACAiuYEAAC gojkBAACoaE4AAAAqmhMAAICK5gQAAKCiOQEAAKhoTgAAACqaE wAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTAACAiuYEAACgojkBAAC oaE4AAAAqmhMAAICK5gQAAKCiOQEAAKhoTgAAACqaEwAAgIrmB AAAoKI5AQAAqGhOAAAAKpoTAACAiuYEAACgojkBAACoaE4AAAA qXy/SnAAAACylOQEAAKhoTgAAACqaEwAAgIrmBAAAoKI5AQAAqGhOA AAAKpoTAACAiuYEAACgojkBAACoaE4AAAAqmhMAAICK5gQAAKC iOQEAAKhoTgAAACqaEwAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTA ACAiuYEAACgojkBAACoaE4AAAAqmhMAAICK5gQAAKCiOQEAAKh oTgAAACqaEwAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTAACAiuYEA ACgojkBAACoaE4AAAAqmhMAAICK5gQAAKCiOQEAAKhoTgAAACq aEwAAgIrmBAAAoKI5AQAAqGhOAAAAKpoTAACAiuYEAACgojkBA ACoaE4AAAAqmhMAAICK5gQAAKCiOQEAAKhoTgAAACqaEwAAgIr mBAAAoKI5AQAAqNz25MfHx6Qw79 jOQEAAFhqUpi3kTl5U3MCAADwmvvm/O7M28eaEwAAgBH3L6a95fdzAgAAMO6 KmeCU3MCAADwgodh Sw4NScAAAAveNaWmhMAAIC1NCcAAAAVzQkAAEBFcwIAAFDJm3P vLxAAAIB9vBqcI805cMZfAAAAbGegy/aiOQEAAE5m8zLsaE4AAICT2bwMO5oTAADgZDYvw85mzfnxr/sP7f10AAAAXErUhzNZN2yb5py/2d5PBwAAwKVs2IQvxd2ADZrzxzvt/XQAAABcylZB NC22bm2OZfcZu nAwAA4FI2qcEZG2ann3MCAACczPoUnHGsn3MuudPeTwcAAMClb FKDA3E3wJ9bCwAAcDJbBeHyrBvm7 cEAAA4mQ2bsKY5AQAATmbzMuxoTgAAgJPZvAw7mhMAAOBkNi/DzjuaEwAAgP nl5vzEwAAAJbxc04AANjN5 fnL7g0zQkAALv5bs69bwEhzQkAALvRnFye5gQAgN1oTi5PcwIA wG5mmvPPzO2JZ/z87zniCNd425e5/qCZ/3WiOQEAYDfzzRkdOgmM033 9xxxhGu87ctcf5DmBACAI9Kchz3iCNfQnI/9cWPgrt fYexfBACAc9Gchz1i BqTnPn95sL3375Hcz52 y1bU4/KEwCAy9Ochz1i BqTH79pTs0JAAC70ZyHPWL4GgPNOfn1mvMHz5pz8oLb 8eTJ2PNq3MBAOAUNOdhjxi xu cuX3zS3PWv5/z/vHDb/3thwQnAACXpzkPe8TwNQaa8 E/n33 wvma8/7xH/ 15EOaEwCAy9Ochz1i BoPY/JLc76hOZ/9smcf0pwAAFye5jzsEcPXePZC2fnmfPhAcz72Y3N6bS0AAHzTn Ic9YvgamnPifX8/5 Sd98/Ej694BgCAi9Gchz1i BrP2vJrwZ99M3mP5gQAAFbRnIc94gjX0JwAAMAqmvOwRxzhGpo TAABYZaY5f5XqU97wVbznG7X7Nd72Za4/6Nl/5JoTAAB2M9OccA2aEwAAdqM5ubyXm9PMzMzMzMxs V5oTjMzMzMzM7OV05xmZmZmZmZWTXOamZmZmZlZNc1pZmZmZmZ m1TSnmZmZmZmZVdOcZmZmZmZmVu2f5jQzMzMzMzMr9jf/MvvIWhaclgAAAABJRU5ErkJggg==
Hallo.
Wir haben solche Anforderungen mit c# gelöst. Ist natürlich programmieraufwand aber hier läuft das ...
Gruß,
Ralf
Vielen Dank an alle!
Habe die Aufgabe, wie von Fürchau vorgeschlagen, direkt im Excel mit Datenimport gelöst.
Hier kann man die sql-Prozedur einfügen und ausführen lassen.
Außerdem kann man die Abfrage über Zellinhalte parametrieren und beim Öffnen des Excels auch automatisch aktualisieren lassen.