PDA

View Full Version : VBA for copying values with ActiveCell.Offset



Shiftyshell
01-28-2021, 01:07 AM
Hello all,

I´ve problem with VBA code. details is below. I want copy values with ActiveCell.Offset, but everytime I´ve error message from Excel. Please help me. Thank you guys in advance.

Sub CopyValues()

Dim InputFile As Workbook
Dim OutputFile As Workbook
Dim Inputpath As String
Dim Outputpath As String
Dim Owner As String
Dim ClaimDate As String, CustomerNo As String, PartNo As String, Description As String, finalPath As String
Dim FolderName As String, Folder As String, Path As String
Dim sDFolder As String

Path = "P:\Quality\Reklamace\2021"
Folder = ActiveCell.Offset(0, 4)
Owner = ActiveCell.Offset(0, 8)
FolderName = Selection.Value
sDFolder = Path & Folder & "" & FolderName & ""
finalPath = sDFolder & FolderName & ".xlsx"

'## Open both workbooks first:
Set InputFile = ActiveWorkbook
Set OutputFile = Workbooks.Open(finalPath)

InputFile.Activate
Application.CutCopyMode = False
InputFile.Selection(Owner).Copy

OutputFile.Range("AA1").PasteSpecial

End Sub

p45cal
01-28-2021, 03:16 AM
Not enough information:
The macro depends heavily on what is currently selected and which cell is the active cell (If more than one cell is selected a line such as FolderName = Selection.Value might cause problems).
At least 3 cells are referred to and without knowing what's in those cells we can't determine what's wrong.

I recommend: You attach a workbook (the Inout file/ActiveWorkbook).
You provide the full path and filename of the xlsx file you hope to open and use as your Output file within the text of your message.
You tell us what is selected when you run the macro.
What line is giving the error and what that error says.

Shiftyshell
01-30-2021, 06:18 AM
Hi p45cal,

thank you for your recommendations. I´m sending request documents and informations:

Path: P:\Quality\Reklamace\2021

In annex I´m sending line pictures of error and in which line is

http://www.vbaexpress.com/forum/image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA5IAAAJgCAYAAAD4XFy0AAAgAElEQVR4Aeyd25Ws KhCGjYuAiOOE4NtEMa8GMEHsF0OYIDirgMIC8dK3me6e76y1j7ZAUXygw2 hDoH/IAABCEAAAhCAAAQgAAEIQAACFxAYLshLVghAAAIQgAAEIAABCEAAAhCAQEBIMgggAAEIQAACEIA ABCAAAQhA4CICCMmLcJEZAhCAAAQgAAEIQAACEIAABBCSjAEIQAACEIAABCAAAQhAAAIQuIgAQv IiXGSGAAQgAAEIQAACEIAABCAAAYQkYwACEIAABCAAAQhAAAIQgAAELiKAkLwIF5khAAEIQAACE IAABCAAAQhAACHJGIAABCAAAQhAAAIQgAAEIACBiwhsCMnvMPqPMAz/xX/Ofwbnvk4ZnryU QjjfCr7RqY5TN6FYRjiP fHMI0u Gkj 70Oz2Nwuc5h8CFVNwVfjrlz7Zr84vttIO7SstE1fks73Rhu6qK7eIYRCEAAAhCAAAQgAAEIQOAV CXSF5Dx BD9 l/bM09dpISmFRnebkBQROc5G5sxzGN3weCEZWzwFvxJZUr /WHjNowvut4WkiNqOAp/8T/Esw4gdCEAAAhCAAAQgAAEIQOBNCGwKSTf 6wonEZkSqVRtkiKQ/wVnhGcUktNX8C5FNAf3GSajC3fZSbRMjW9mnMNoI5ZuzNFDEbESxXRhHP0SXXR iSSWqOMSpRPBF6Ofbow1ipCtXJh8LQinMfhYT6rLj/1QaU9Ial1qXwSd1F0JzlnEbDoe03wbPWza712MMPZwbQpwopI9XByDAAQgAAEIQAACEIAABE4Q6 ArJEL7D5D CK0tbv0IVIJSIpdVO02cjJP8LgzNl5n/Bi5g84VBoRVunzHqpZh1FFPEky2EXn1NEsdS/qqNJb8RsipBaR2ZjO4St6F5PSIoVOV7zq4Xq6JvopwhLn0SulnfjVIT LFHHLIKtlyHIslxdolunpLRFTLep/IYABCAAAQhAAAIQgAAEILBFYENI1tnn6TMKQz0al74WVRZCWAnJ9dLWVRk11m5XIq/J0Ig8TbVibyU0V KtEY6dOouNHLnTeuJ2thHJIbiNZbdXCUmprzyTuUQll2c2xYMmYul8P IbbTWi1DRkM1pp8rALAQhAAAIQgAAEIAABCECgJXBKSIbwL/hhiSiuROE9hWRPuFmvJb0K56XEy4SkaDGNAjaiUuvK6avoYYzyuTCatbrrPMnIVUIyisQl qjubG7nOczjRkQSIbmJjQQIQAACEIAABCAAAQhA4HoCHSEpovEjjNPysp0wfwXn/5VaREjqM5HxRTxD 4xkvbQ1vaxnEaLF0MaOiML1M4PLctASLdTy8ZnC5TnCw6WtsVwSkPFZyu4LcebgnTx72ET0otD1 ZWnrnJ X7GjbuIS1akf21wpMKS8RSJsvtd GfLWhaSvt91bIiujtOcDS1hocvyAAAQhAAAIQgAAEIACBuxDYFJLefP4jvizHVhefeTQv0hk/02dCRnm2Mn/ Q970mp xvOhlO7keibKVJZ7yshwjnEJoXjZjXrYjxaPQnMzyz62ln/EzHVvPEKZnGa3AUwQiBNtPk8QX/MQXCtnPhWwsTbUv0xHfJKJYicn68yeDCFq/PBMpb5D15mVDw1b7IouNt7PmyO/ZdyBp29lCAAIQgAAEIAABCEAAAhDoCMnXh7KKWG41qSxv3crwBsf5/McbdCJNgAAEIAABCEAAAhCAwHMReDshKctaNVrYf5NpestqySOfCnnzsNxKWBONfK6zEG8gAAEI QAACEIAABCDwYgTeTki GH/chQAEIAABCEAAAhCAAAQg8HIEEJIv12U4DAEIQAACEIAABCAAAQhA4HcJICR/lz 1QwACEIAABCAAAQhAAAIQeDkCCMmX6zIchgAEIAABCEAAAhCAAAQg8LsEEJK/y5/aIQABCEAAAhCAAAQgAAEIvBwBhOTLdRkOQwACEIAABCAAAQhAAAIQ F0CCMnf5U/tEIAABCAAAQhAAAIQgAAEXo4AQvLlugyHIQABCEAAAhCAAAQgAAEI/C4BhOTv8qd2CEAAAhCAAAQgAAEIQAACL0cAIflyXYbDEIAABCAAAQhAAAIQgAAEfpcAQvJ3 VM7BCAAAQhAAAIQgAAEIACBlyOAkHy5LsNhCEAAAhCAAAQgAAEIQAACv0sAIfm7/KkdAhCAAAQgAAEIQAACEIDAyxFASL5cl EwBCAAAQhAAAIQgAAEIACB3yWAkPxd/tQOAQhAAAIQgAAEIAABCEDg5QggJF uy3AYAhCAAAQgAAEIQAACEIDA7xJASP4uf2qHAAQgAAEIQAACEIAABCDwcgQQki/XZTgMAQhAAAIQgAAEIAABCEDgdwkgJH XP7VDAAIQgAAEIAABCEAAAhB4OQIIyZfrMhyGAAQgAAEIQAACEIAABCDwuwQQkr/Ln9ohAAEIQAACEIAABCAAAQi8HAGE5Mt1GQ5DAAIQgAAEIAABCEAAAhD4XQJrITl/BTf8Fwb7z32GaV47Ovn/ghu/1wk3Hpn8EIah eenG63er/joGt/U18ZHaYcbu BK 7rpN7n6L/iq775uslYXnoLXtg4uSNPm0d29Lan/k/26/hD20tq81/7 iTqu9Y1yEIAABCAAAQhAAAIQeAYCayEpXk2fYfD/Fv9EXIqYXI78yJ6IlPsLrXOuj87vtneVPo/BNULyqKaHti/22VeY/EcUfEe nE6ffKdP5uCdDx3JfNpsm3F0fSEp fbSWjvX/v6JOq71jXIQgAAEIAABCEAAAhD4bQLnhGSQyNPHEn0UoZmjXnVEMkfD3GfwTqKan2GaPlOE8woh 2hNaGgFz3gen0TEj lK00IVxrNM1MKjlVfOl6JOJHIogVLtmq/m1w1RI9nwMkz8VpeuWlQrmKXgT9XR vFikSX9Fn4X/Kmr8HUb/sfSh/wjOnYxcFsE8p hkqiR4NyoaaUAYvYlUurES5Zb5pP1k lAMqZDT/ooRapc4xLRpXBhJ2UrF7td/5N9R/aah7EIAAhCAAAQgAAEIQOBPEjgtJFdRylZcKr64NDZFweZRBGdaFiuRsVaMaZGt7ZbQiuLCiIfJ 15FLEZNRfBVxMQcVflKXlK986UTZbP6ef3Z561bUdMt/tbeVPvomuifC0luhpha2tt9hdJ9ZfH4H774qIZpuCvwrx2a5MXCJkBTRKILSuSgg5yIukz8qAot 3URg3YjiKbRejuLP00zyFuM2F1EYUmqavJTmyF1Gp/RvtLxFkLbtV/1F6qiNFRHv1F7vsQAACEIAABCAAAQhA4I8SeIyQVFFilsiWCNkFoLeE1pEQXAmFRjwelRcXj4Vk Ei5bPoqNvbTN9I2I6DAsQukQoUQhzdLktYj/lyPG6VnYuGxZRdmx8SQeo/ieUuRQoopLyLe7xFfEvmaJVXTEu6063gyQqKyfiuDV9N3 bUStlin1H6XnAnv1q022EIAABCAAAQhAAAIQ KsETgvJamlrptU7FvKzeTHLHxCSewPnKiEZZFnrJdHHtQfyEiRdely2RlhWJebvECPHKv6rxN4P WdLqg/dDjOrGNjoTET4p1GT5bxGfnWpEyHlZvtwseZWsPyUkt rvuMshCEAAAhCAAAQgAAEI/CkC54TkLBGs9ct2nldIHi9tVREzT mZSP2tvW/Fyhyf46uXmx5FLMXOdUJS3kwqwuzaVxtJX9VLWUNIS13V4uhkmfHytl1Z2mojmMpgaytsisATQT gkUan5Lbt4bGNpa8tcy8u22BD7jZhsl7bGPjR5Slk12NR/lH5Uv5plCwEIQAACEIAABCAAgb9KYC0k4zOOTUSr vxH83mJ8qkJEZomTSJg aU88rIXEZ0SHaueTdygri9jqT4BkguKONPj8VDnxTZRKEzmhTXNM3bVy2wkbUwvx7HCZs4CKb3k pX6ZSxQy5UU8zZJNiSiWNPuZEF2aepQuUOYoJrWdgwi3zhLPFb6q7/RtraZPhnRMnp/05mU7Q9W/K6urA7F/StRU2tMy2HvZTb/9dlyk/s/PKJpPwUj/lLR8A6DXP8cv09nzr/7EiB2LdnysoHAAAhCAAAQgAAEIQAACf4jAWki QeNXEac3aBNNgAAEIAABCEAAAhCAAAQg8CwE3k5IVtHCEjV7Ftz4AQEIQAACEIAABCAAAQhA4PU JvJ2QfP0uoQUQgAAEIAABCEAAAhCAAASemwBC8rn7B 8gAAEIQAACEIAABCAAAQg8HQGE5NN1CQ5BAAIQgAAEIAABCEAAAhB4bgIIyefuH7yDAAQgAAEIQ AACEIAABCDwdAQQkk/XJTgEAQhAAAIQgAAEIAABCEDguQkgJJ 7f/AOAhCAAAQgAAEIQAACEIDA0xFYC8nqo/b/hWH4L2x9sH7y/wU3fj gUfLheRfix aHITg/hvkBtTzKZPUJkmEo7Rj8VFUpH7vvfuR 8qVMN72ycumPf8FLn o/93WpgZ38U/ClvS6McwjzaPpRDtzhP E2DMl a24vrc177e fqONa3ygHAQhAAAIQgAAEIACBnyCwFpJS6/QZBv9vqV/EpfsMtQxaku 9FwWWn4p4nESMuMvE5Oj8Q/09sr9Kn8fgGiF5xE1E2P2FZK419ulXmPxHFHxHvpxOn3zH5zl450t/nra1k3F0fSEpRfbSdkxelPQTdVzkEJkhAAEIQAACEIAABCDwgwTOCckgkaWPJfooQjNHtOqIZI5 2uc/gnUS9PsM0fQanUc0zDRPB5cZVThGXosM0wqWaLEWHTGRPypeo2BIN1PwpWujCOPoln/NFTN1qXx1XIdkVgycjjt2yUsE8Be Wtl0TsZX jEykf1ZR5e8w o lj/1HcGcjl0Uwzyk6mSoJvurTOYw24uzGSvTbPp20n5obAyrktL9i9DrfbIhp07gwkrJVMHS//hCO0hex2qtfxwBbCEAAAhCAAAQgAAEIvCuB00JyFaVsxaUSiktjU5RrHkVwfsZJvES VMxp1t52UzyZSJfkqWyZNLWpQk5/262IySi iriYg81/q32pyy5v3YoqbrY1O7uVPvomuifC0q/Ft21zvf8dRveZI4TfwbuvKlqYbhr8K8dmuXFwiZAU0RhvCLgoIOciLpMXKgKLT1EYNxHnKLZdjO LO0k/zFOI2F1IbUWg2QjGyF1Gp/RvtLxFqLbtV/1G6lNM8vfqLXXYgAAEIQAACEIAABCDwpgQeIyRVdJglsiUCdgBySzwFIxZvFXoqAqwr1qbdj3lM 3VrGCk89ZreavtmeKMT3l652y25EXIdhEUrWj 6 RCHN0uW1yP XI8rpWcq4rFlFWdegPSjR0jHMkdmUBJdEFfX5yEZUakl5JlazxGMd5ppXtvFmgERlzRJoTd/t36P6j9JzJXv1qx9sIQABCEAAAhCAAAQg8K4ETgvJamlrptE7FvKzdzHLFUIyRbLW0TVd2ip2bx V6u0LjDvbFRxWSGVV30xWKJmc/PQk1k 3iXXlJki5NLlsjLCuD83eIkWW9OVAl9n7IklYfvFmK7JwRzCeFmr1x0KtFhJz3Prhmyavk3e3fo/qP0rMze/X3/OUYBCAAAQhAAAIQgAAE3onAOSE5S4Rq/bKdhwhJedePvM3URJral 1YgTVP6ZnIEvHKvWPFxByfs1uWg8ZokrwJtkTZ1ktb1d419sWFxwlJ4SPC7NpXH0lf1ktZQ0hLX dXi6GQZ8vI2XlnaaiOYRyeAsC8CTyKLQ3q VcvZvonHNpa2ah9oObstNsR Iyalf PLmXL/xj40eUpZNdjUf5QuxUqeTv1qli0EIAABCEAAAhCAAATelcBaSMZnHJuIlYjIIrqaz0foZyTkWch g0iTClV/KIy9zEdEp0a/q2cZNqgef/4gT//yyGREIY/pchhUecWmlvnRH8hT/swiYzAtrmvTqZTZX2V9ehLP TIX9RIbNp0tTj9IFWs1nEOFmhPc21q/04qPYZ/q2VtNnQzomz09687Kdrc /bNUTX5ZTXq4j7WmWre6 zKbffjtu0st4ks20nzhK/5e0fIMhvYSn7v/jl nsv2yn1DGnmx7lMzXV2twtOhyHAAQgAAEIQAACEIDA6xNYC8nXb9NhC0o06TAnGSAAAQhAAAIQg AAEIAABCECgJfDnhGRc9lgiletnMVtA/IYABCAAAQhAAAIQgAAEIACBmsCfE5J18/kFAQhAAAIQgAAEIAABCEAAApcSQEheSoz8EIAABCAAAQhAAAIQgAAE/jgBhOQfHwA0HwIQgAAEIAABCEAAAhCAwKUEEJKXEiM/BCAAAQhAAAIQgAAEIACBP04AIfnHBwDNhwAEIAABCEAAAhCAAAQgcCkBhOSlxMgPAQhAAAIQgAA EIAABCEDgjxNYC8nZfrT vzDIx vdZ5jmNanJ/xfc L1OuPGI/ci8fux9sF kv9H MxefRxekzdc391/w0mf6z309oLnfYfQfpQ7nP4N7QD2PGl8PAIJJCEAAAhCAAAQgAAEI/CkCayEpzZ8 w D/LSBEXIqYXI78yJ6IKjd2FOwP1D46/9D27tmXdl8vJDOc2GdfYfIf4d4I5/EjeHMDYZ5kfNSCdfyF8fIDw4IqIAABCEAAAhCAAAQgAIEQwjkhGUIQ8VCijyI0c8SrHIs4czTMf QbvJCr2GabpMziNal6IvCckNWLnvA9uGGL0bjCib3RyzIVxrNNVTGl5FWoa/SyCdR4Xu2rfRAiP7McmTmPw0Y/kix NBD wL WjkByNH6Z9ZxFGsSfVCn8j lL5NqL4sRKCe/WksfAvdCV L6I9/FcJY4k0yvgRv6axMz42x1cah7GsREFL1LW9yfEvj78cTR/TeF1z2GslaRCAAAQgAAEIQAACEIDAFoHTQnIVpWzFpdYQhUSKgs1xAp WxUpkTMWbZj3a9oSklIliUMRVVjKTryOXIvacH8NclM4cbAQwCjWj7cLkV5FPm7/188h CLOpOwQRq23b9 zH9g3b7Wv9Wf/ DhIRTM3/Dt59VaKvFYKzCLcmori2aY98x0inCjnnv6r2Ss7DiGQUix/B X p7Jy3pprq5kVz3C63lrFlReLoPsI45SXXs7B4zBJs4xK7EIAABCAAAQhAAAIQ FMEHiMkVZSIWMhLZEuE7AK8e0KyEmaNEBydWy3ntOLR7kd3mvJybE/oHdkPs41IDsG5y4XkXvsOEUoU0ixNXot4E7GTyODGM7CH9eQMPSF6Rkha8dera09I1nxM1DUv6a 3sdaOyVQ5 QAACEIAABCAAAQhAAAIXEDgtJHuT t6xYCfyf1JITsHL0loNl pSVRsBPRCqZ4TuXh/r0lFdfhy3RlhWZefvECPHKv6rxLM/ZElzvbwUIXmWHfkgAAEIQAACEIAABCDwegTOCclZIli1UJCmPq QPF7aqs9EzlN6FlF/axfaqOMcn7f0ZXno7tJWeQbS bLUU zL85JVBC0KySVq2tq/TUhKX9VLWUNIS11Vy8rST69LP6UfmwimMuhvRTSapaNxIHxVEVA5FJeX5qXFIlTdoEtts9UTUcL u MrjruLZ2LJ1B5a29ruRoxCAAAQgAAEIQAACELiBwFpI9l6WUi19bD4voS88iREpkyYRsPgcXHo TUSBRMYqAbDhuL4Ap3z6Q156kwuKyNLj8dDky28Vg1EETtPywhvzPGWscm7SxmRDy0ueWZa76st 2mvJH9q2P8qzmFH1ehOOefVt2q30b2EKMBpf 0Le1mj4RATin5xe9 XyHfd5w03ZJSEJyVb6kp50oTtWXE NnGRfWX/MZkxzx1HFUxlIeY/J7WSprlu5K3SJkVy8cahzmJwQgAAEIQAACEIAABCBwmsBaSJ4u rwZbTTxEV4 2v4jfP7LNif7xuG/DIK2QwACEIAABCAAAQhA4E4E3k5Ips9z6GdBxjthWsw82v5SE3u3EJA3tcZnQyVSKW VvcUYZSEAAQhAAAIQgAAEIACBisDbCcmqdfyAAAQgAAEIQAACEIAABCAAgbsTQEjeHSkGIQABCE AAAhCAAAQgAAEIvDcBhOR79y tgwAEIAABCEAAAhCAAAQgcHcCCMm7I8UgBCAAAQhAAAIQgAAEIACB9yaAkHzv/qV1EIAABCAAAQhAAAIQgAAE7k4AIXl3pBiEAAQgAAEIQAACEIAABCDw3gTWQnL Ck4/JK/b6oPyC5DJ24/AL8dv35vD5F0YhvQZD dHPt Qoc5j4uKnayn/C177Vbbu61pDO W w g/zOc3PoN7QD2PG387TSMJAhCAAAQgAAEIQAACEAhrISlQps8w H8LHhGXIiaXIw/dm/wQnJ KeJxEPLnLxOTo/EP9/U37IiavF5K562KffoXJf4Txzh9ZnMeP4MfvMkbmScZPLVjHHxxPxRF2IAABCEAAAhCAAAQgAIG7 EDgnJEMIIg6cigMRmjmqVY5Fd3K0y30GHz8I/xmm6TNFOM8Kh3kMzo2rxom4FPHURuTkuEQunaohKZ8jmRrRlK0Kr9FJfhfG0S/5nC9i6tH2Y8OmMfjoR/LFj0aiH/gv5aOQHE07rxDNUexJtdI/2q FehtR/FgJwZK1s5PGyr9yI6DK0ot4D/ V/pG8EmmU8SV TWNn/GyOvzROY1mfy8Woa3sT5F8enxKR/Yx1aH2Vr/yAAAQgAAEIQAACEIAABLoETgvJVZSyFZdqPgqFFOWaRxGcn2GaRRx8VGJBs7dbEUlFFNrEyZfjU UgZ7RVMmhbZixiKmIzLZUskbg42/6PthzCHudQtbBahe8Z/8W8YfOQq WUZcJeZGlttv4NEBJML38G7r0r0tUJwFuHWRBRXJqsD37G/dYm0819VeyXrYUQyisWP4Py/VHbOW1NPdXOjOR4FYmYsY8 K5dF9hHHKEdNZWDxqibZxil0IQAACEIAABCAAAQi8EYHHCEkVHSIG8hLZEgE7gPczQtKVCKS6Y8 Wj3Y/pFwvVffththHJITh3uZDUCOuWf9qu7laikGbp8lrkm4idRAYlameEb9fmzsGeED0jJK3465nfE5 I1HxN1zUt6K3vdqGyVgx8QgAAEIAABCEAAAhCAgCFwWkj2Ju29Y8FO1K8QkiKy9pa2iu PFnqPtT8FL0trjTJb1RcjdtvPeK7yd4Su6ePVri4d1eXJcWuEZVVg/g4xsqw3B6rEsz9kyXO9vBQheZYd SAAAQhAAAIQgAAEIPB8BM4JyVkiVLUQkKY8REjGpZr7L9sRIaVLOecpPSuovxXx6Jao4Byfh/Rl eaZpa1q7 72o1D2Zamn2JfnJasIWhSS2/7fJiSlL ulrCGkpa66WliWfnpd in93EQwlXF/K6LRLB2NA WrioDKobi8NEc5Rai6QZfaZqsnooTd8ZfHZcWzsWXrDixt7XcjRyEAAQhAAAIQgAAEILBDYC0ke y9DqZY2Np PKJ SEKFp0iTCFZ9zS8 fyaRfIl/VBH/TsYPPf8zT8rIaedHM6OsX7kTxU79MxwQAQxSZU2PDLt18sH0RgvoiIHlWM76VVqKUxodZooz60i BpYxFdS9nIckptr144tMW16lt9W6vpMxGAc3p 0ZvPd9jnDbdML8eTkFyVXzLEvShOdeycGF/LuLH ppfypMhqutGh46yMtTwG5feyVNYs3ZW6RciuXjjUOMxPCEAAAhCAAAQgAAEIQKAQWAvJkvS OzZa YhWPtr I3z yzYn 0bivwyCtkMAAhCAAAQgAAEIQOAkgT8nJNPnP9InQ TblPf 79H27 3vX7Unb2pNkcz/Qnyr7F8FQbshAAEIQAACEIAABCBwBYE/JySvYEQRCEAAAhCAAAQgAAEIQAACEDAEEJIGBrsQgAAEIAABCEAAAhCAAAQgcEwAIXnMiBwQgAA EIAABCEAAAhCAAAQgYAggJA0MdiEAAQhAAAIQgAAEIAABCEDgmABC8pgROSAAAQhAAAIQgAAEIA ABCEDAEEBIGhjsQgACEIAABCAAAQhAAAIQgMAxgbWQrD5anz RUH0wfjE6efuR9 X47XtzmLwLw5A 0 H8GObbjf6QhX/BD8unJQb39YB6v8PoP8znKz6De0A9j vfByDBJAQgAAEIQAACEIAABCDwYwTWQlKqnj7D4P8tToi4FDG5HHno3uSH4PxUxOM0uiDffHwdM RlCiMy wuQ/wnhnx fxI/jxu/TBPEn/1IJ1/MH Ko6wAwEIQAACEIAABCAAAQj8CQLnhKToovEjOBUvIjRz1K0ci7hyNM59Bh8/ P4ZpukzOMl7VtjMY3BuXMEXcemnEEaXo5RGnUlajF6K2BTROYgQ9cHliObgfC2C5yn4bCflrUWq 2nPjHKYx22ltrDysD0SxJ8pb2q/cSpY2ovixEoIla2cn9cW/vrDuRZSH/yI7NSWRRuk/8WsaO/2z2b9pHMSyPpfr9u2/3P 538c0XtYc1CO2EIAABCAAAQhAAAIQgMArETgtJFdRylZcaqujkElRuDkKiM8wzSFG5kQIHv0nQl AE3Oq/yafjIjQ7hmQprBaLYlKEXzYjadbm6H0twkRY ka8Tj4Mg0uRUbEzT2HuuLXyMx74DhIRTNm/g3dfVX2tEJxFuDURxb5dPfodeUaBLoLQf618O4xIRrH4EZz/l8rOeatVbPVvPh5vDBS 5iZDELH/EcYpR0xnYfGoJdDGWXYhAAEIQAACEIAABCAAgR8j8BghqaJIxEpeIlsidAdNOxSSUagkIRijk3H J6xy8WfoqNiqtqSJU6hYhqpHKattELW2ZA59XyRKFNEuDZXlr5U8wETsRghvPoK7sbhzoCdEzQv IoQpgE77KEVqtf9aWNuuYlvZo3bm16lcAPCEAAAhCAAAQgAAEIQOAVCZwWkj1R0TumzwZGGFcIy Sj0dpa2it0UfZTlqWPaH so5a6QDKncYWfdICR16agu/41bIyyruufvECO3Kr6rxLM/ZElx/QwrQvIsOyAX3qsAACAASURBVPJBAAIQgAAEIAABCEAAApcSOCckZ4mg1UJFKnqIkIxC8eBlO5MP Xp6BlLWsIvhcHYHcF5JJiLrxYJ3t1UJSWNVLWUNIS121Rln66XXpp3BsIpj7nSii0SwdjR3xVUV A5VBcXpqXnopQdYMutc3WT0QJu/2b 72KsDa2bN2Bpa373UkqBCAAAQhAAAIQgAAEXpDAWkj2XtZSLb1sPm9RPnUhQtOkSQQuPoeXno8T USKRuUqAbAI7 PxHXJ6qz0TOwQ 6L J2 WxIrCs 69i oKe2P7j8LGT0Zwq WvKayp7yu2Knb2s1TEQAziLyPoM3nwzxtuIikJSUiuypf0tBPFqfbNif5b2mf9NZ8xyRFP7cfSl 7mP5feyVNYs3ZW6RciuXjjUOMxPCEAAAhCAAAQgAAEIQOBlCKyF5Mu4jqOvQmCyb/x9FafxEwIQgAAEIAABCEAAAhDYJICQ3ERDwi0E5E2t8dlQfavsLcYoCwEIQAACEIAABCAAAQg8F QGE5FN1B85AAAIQgAAEIAABCEAAAhB4fgIIyefvIzyEAAQgAAEIQAACEIAABCDwVAQQkk/VHTgDAQhAAAIQgAAEIAABCEDg QkgJJ /j/AQAhCAAAQgAAEIQAACEIDAUxFASD5Vd AMBCAAAQhAAAIQgAAEIACB5yeAkHz PsJDCEAAAhCAAAQgAAEIQAACT0VgLSTnr D0Q/a6rT5ov/g/efsR uX47XtzmLwLwzDEf86PYRpd8FO2PPklbZyvrm7yQ3CXlp/H4LJf6t/gfJiud Nq//sF/wWv/SZb99XPdtPR7zD6D/N5j8/gHlDP48bXTY0PIRyMz1vNP3F5OWdk3Ot5M4/LeTqUE/SWBjB b6F3puzoUh W69fggr/0Onimok4exk8Hysahp7z Pf3fvwXmVX/fl KHe4 233eA62Ofy/2P2jnoINdInX/mqh7W/wfz20dev/XvedvW83QZn dZvU/OtZCUtk2fYfD/llaKuBQxuRx56J6cwONslNk8Bzl52sEtg14ntA91qDUuJ7p1Rv64iphs8 38Hi/Mv2OqnxT77CtM/iPce444jx/Bj9 l3nmS8VEL1vEHx0tx5Id2zo7PW9x5 Pi4wTlpfzXe4/gfb7DYKcr47UC516Ep MFer YwxmvuveyHsDd GT/34/wrlu7w9 9X/L6g0r3xe4GZx2Xl vg4tmI5z nMLPSx9XWsb89vb79 741vqddObzuuHR9ifB4zeqMc54RkPK8 glPxIEIzR73KsQgl341wn8HHD9J/hmn6TBHOs8JCTuCTo3jzRJvG4Mtdd7nb3ki8zTs coIOQSKMqbwP0 RTBNIKv/YPaeRjRO1e/dK NqI5NCJ5noz/Q5CI7KUXtCj2pNnCX/utDNw2ovixEoIla2dHbLvxX98nuYDYiGjet10qd9pl/Ihf09gZH5vjS67vKRLqfC4Xo67tTY5/efxJRPYz1iH13eW/g/EpY1IiPdreNgKTfEgTd40IuSjMshA7Mz5CU96N SbGyfF7ML6sz9O4Hv9RSMtxbaT47KyQ3PLvfA8wftM5cvfxG7ugnYjIeWUmD3vXL7mkmKj0anyc GL Mnxe /sn4Ofr7d3B9kRUdcuOie/2L47Ne8TE4 XsuN5fT9WN3/Kl/uppJC6Wi8Ya0RJdGva7lv/cl24nxG9u/YT9V07SvXJ/TeSbtdj5fV3P9zQwle7u94fr4uOujji8dn3Fr/75tzh9P9u/B9VV7fXN G264fp8Y3/FvwWjmqXbuq84dbBmf6/G5nocfQHyh5NNCchWlbMWlNjoKiRQFm0cRnJ9x2adExnTeqVm7WxFu5arezVEObp9oc7ABTbkw9 Orulo8nWvqjNY yhDYtW5XJT7HR UNa/3E9rn/vjtDofS3S5A ztxP1gmBj5ztIRDD93f0O3n1V9uQkt0JwFuHWRBQ3DOfD3zHSqYLR a Kt2Q6jEhGsfgRnP Xys55aypOfi6RT02S43GCXSYW5iZHrPsjjFMuNwuLOy7BPjE 44XYzgyaMmncTaVPZhlP9g9VbIONGGnL03Y0k6p4JE7c8s2GE P31PiKfyxdFIvxXJqn0sdRCMwyn8yTO6nT L/rX92UjV M34eN30i8nYjIio9loi4T/cPr5874kCr2rm86bnSb7v4v17faF/lDIzfWLrmZxvh56Pg5 Pt3dH05uv7JuPD2WRHpfxF/9m7qwfiTMdj9 x7HZr45W zJ K vt 3v3oVq237jazN pZx9HEbae3bOk/xgfD90fKfBU/1Nu6T/j/v3xPV1Z/yGlZC8/Pq9N76j/3neK 1mfNa9/6vzz9qVp/n1GCGpokTEQl4iK/CLENtrfjPp3su6dSGXickSkRyC6yyLFbvd8nZSbP5gSt7ivzle/LPHTtS/eSJHIdA wyS/6z90pd7ejkQhzdLktYg3ETuJDErUrvxR7RncP9YTomeE5NEdmj0hWfpCXLNR17ykovLYplcJV/w4MT6rsRL9a2 ONBFnmcQ0/HfHR9X41IbupNyMyeLT2fG10862rtmeM7K/598Z5IzfmtI9x2 0LBNze41pJ 4nrp8740Oq2By/eWISRUEeN4yfurv111Ne/8Q5c11RX8uxU9eXvetfumlQ7G7tHIw/Kdb9 x7HZiP0cl572dobv pS1/6J61 5FquhE23RrHHL9bHCUf39r1Ou/5WvTXsGuv3fGUtyblQ3Ck7MD6XeLftJSN52/d4b34zP1OtPe/3dG5S/lHZaSPag9o4FO5G/RkieOIGVVf9Ey3cvzcx8dWJkA93ytn7zB7OyYY6vfTlX//aJfPIPqVbc2erSUV1 HLdGWFZF5u8QI8cq/qvEsz9kSXO9vPRthaQdHxt4qrEiedo/JLbcPIcY TYRPUneHB9Sv53xZFutuIuHzThdfDo5vnZ8LnXpH01ZBqP H/ln276xz/itnze /0RJrlFbN6bOXb92x/Te LVCkvGzcQakw92/r5FZc1PW3miwf3/Vuk3XY7dszXVFzSx/S09eX0rB9vqXyjf31TT3st25PmmmxSc9krariLeOQ7OKZPP6a0x17Z 4/i3X4mzsRFtMtYHr46Ovj3FALH/TLHyz3 3/zliqr5Unr6/ZTiVAS923X7/3xjfjM4F 2utvGQfPs3NOSM4SwaqFgjShC9r IbtGSOaJRnUCxaUhJiKY XVP5DjR92Vp1pzXo3fm3v07PrF8XmZl/mBWJ5c5Hl2J/uWJ2cn67R8zERJuWJazykTdtc91nh4z0lf1UtYQ0lIY/Ts5OpmILEtGJaJoI5j7VYloNEtHJbP0eSNUpQ5diiRC1Q261DZbPzG56Y6vPO6q/mxs2brD1tJW6UOJylSG9luuqal/zFSnGZ92XMr4k2di7XiWvrdLt2RpaysO98aHTYs 2aVTJ8bvqfG1M7mxQjLeHZXnkVVI9u74W/8U4uaW8fvo8bteGmU64 T1q54cmfJ5147R3vVNrw2MnzU7PfKs1z/pq6af/ lb/f tdGW7Nsj65/8iiKvV7O0X7zeMrO9UlrstdhPSZbeXFffO9AuYT3lrYuUct2/KqtbftL2Zi3uf5VcwnJcKItWmcIXB8ff32Mk4zHCMmz19fowtaS5x0hedL 3vWZ8ZnOtodef5cT i321kJSREH7spRq6WPzet SV4SmSRNhEZ DS8 nSadIZOzsvD1dvHP43vkwlgijnEQ2rK/7yx12ORH0QWn9dEh8wD7 4dgrb9LE0Sw25I a2vT2IWT1o1maqHnFh3X9eZDKH4 N8u3nJQaXn1U7GnJV36mQM30iAnCWP6SfwZvPd9jnDY qiH/Iho91 aZgFKc6Nk6Mn2VcWH/zA8vRTrqRoeOojKU8xuT3slRW/tjWDzsvacnR9EB98we/acPez 3xKX8B5K76MnblhSRxLOTZs9wN9OZlE/Z5Ga0zisud8VG9rKK8zOHE I3zu/ZlFnZ8GRtaf flQbY98TwxQnL1Mo3in7ZuY8v4zWAeO37r18evz4H969fNCe3Rq/9kUWRSzIdZbxs/S9Xjer7ZNc/2Siaq4L8e9s8/fv6O/X8fWvflmN/P07 vu//P3oj0/7aEicRE/NNbqIytQNW N3vaxwPf/Yu/7Zcyv6rDc0m5uNeh5VW66PyznywL/v9fUx928ZYPvj60z/2jzr eG fQFQ 3fp9Tsh3Brf1jfG5 Pmn9V5/QY/1kLyDRpFEyBgCUzx5UJLBDb oZe70ktYxGZnHwJPRYDx 1Td8XLOMH7qLrPRmDqFX69IgPH9ir32d3xej8/3aztC8v36lBbFu3bL3aT4VllLJd5VXyLYNol9CDwDAXnTcHy2WSLt8lZk6xTj19Jgv0OA8dOB0k Zzqih4Pz9Hn5MA4/s5 wWvEoHd8fmGkBCSb9ipNAkCEIAABCAAAQhAAAIQgMAjCSAkH0kX2xCAAAQgAAEIQAACEIAABN6Q AELyDTuVJkEAAhCAAAQgAAEIQAACEHgkAYTkI liGwIQgAAEIAABCEAAAhCAwBsSQEi YafSJAhAAAIQgAAEIAABCEAAAo8kgJB8JF1sQwACEIAABCAAAQhAAAIQeEMCayFZffTWfNS9ev9 8IjF5 xH4 9GpP7iqH/wdwlA CntQ1yUf Q35A7B3ehW4fnBbv1FoP/B62v D5t2W/C94 6Fr93WbuW7p7zD6D/P5gs/gHlDPo8Zft0kXHHzl8XvcTMbPMaPbcqzHjwv Tt881evR2UvpuiX0/5oJRyAAAQhAAAJ/k8BaSAqH6TMM/t9CRMSl wzTcuThe6NrvvMn3067cPYjkyYVdPsOT8HfSUhKPZN3wVn/xfc72t9vy8nU2KdfYfIf4U5z1FLxPH4EP34vvycZP7VgHX94PBVnfmjnlcfvKUSMn1OYrsskN7f s9W8Oo3cXnaer8WcckevihZdSUzrv0v9rJhyBAAQgAAEI/DEC54RkCEHEgVNxIEIzR7XKsQgu3612n8HHD2p/hmn6DE7yXigcdCLUF4NpYjUMKVopIq0ncvtlpTEiHDXSKZOqRkhW6UNwfqw CG6jjtPogxM/jHAUITnKcZ2ttUJyGuv6R/Veo6M p/swTWv7tf9r/86M4Sj2pFrpH 3XUrCNKH6shGDJ2tlJY VfxaxkkwmojYjmfUUl STSKONL/JrGzvjZHH9pnMayPpfrjr1/eXzmcTmm8Vx8vMPOK4/fM81n/JjVGncfP62QlHFtxN/m9SNeqNP1KF8b9Rppz69oaxyXfObadabvJQ/9v 7/9XX0LE3yQQACEIAABF6TwGkhuYpStuJS2x FQopyzXGC9RmmWcTBx0V3we3yrjaqOLrm7nwUfrXYE3f6QlJEo48 JZfnGEEcTMRw9L4WQWLfj9rCtI3LZ10Ui7Ms 52nELc5IilRvigoY1obkZxLXjEmwrRM9ER0Dql98 jDIJGJbEvznPKv9rb59R0kIphWK38H776q9rZCcBbh1kQUG4PNz /Y3yoYnf q2iuZDyOSUSx BOf/pbJz3pqakp9L5FOT5Hi8cZGXY8vYs5O80X2EccrlZmFx/yXarzx leP2lvHz2PHTCsk51Ne8netH7jS9kdHrQ7ku6nVF0uMKiouWJdD/j 3/Xq9xDAIQgAAEIPB8BB4jJFV0iBjIS2TLHeyTDHQitBKDG0tci2gz9ldlJU0ifO2kyUYMo5DTaKX d2qVmG3Zy3cWXbHe29iXPbCOSQ3CuEZIqakWsZvUobYm7Z/0zHFa7EoU0S5fXIt9E7CQyKNHkLMpWtk4c6AnRM0LSir9eNXtCUkV3LGejrnlJXmXPplcJ1/945fF72GrGT43o7uMnr0woUUU5980JuHf9yJ7p KsdTb/KtUQTe9dETett6f ayt37vzbPLwhAAAIQgMCzEjgtJHuT9t6xYCfqdxCSK3AipCqVkHIU8WYKXCUk5eU7KuSMrdXuzu TL hInbbKMrNiUSaILo5kYVhM7Kzp7QvKsfyuHlwO6dFSXJ8etEZZLThG93yFGlvXmQJV49ocsea6f sf0rQnJF6AXG78rn5gDjp37et788vIF20c82ImkLH1w/ctZHCkn6/9H9b/ubfQhAAAIQgMDzEjgnJGeJUNVCQJr0K0IyLot87NJWEYKuPLe40XknhWSIwk eocxLY6NQ9GWp55yfdyra FBI6lI0fa5yw7/Nw9KX9VLWENJSNbUoSz 9Lv2Mq3brCOam6ZggotEsHZVjcnOhEapxeWkOsohQdYMutc3WT9zl746/PC4LTzHX2LJ1i1DuLm3VN/9WhrJvJzZ7E/l6mWIEHG9emJhTrKF7IySOp/2l2beO3/3mMX4eP352hOTR9SN3nh1jskTeDcty/erGleTfuZatxwL9f6r/1 A4AgEIQAACEHg7AmshGZ9xzC8S0JeiVEsbm9e/a54YcTJpIhzic27p TOZ9Evk68y83D5fNuTnBWvyey/bkUmYXZKq 2ZpavUynfyynfjCHH0OMj83qXZcfhYyOtG3r 3SF/HISy7KEloRJSoko9CRZ5SSX/Iinyk syTi2NgWg1nMiB2Z/EmZVM efzWp6lfVt/q2VtNnIgDn9PyiN5/vsM8bVva6P5KQXJVv8spyV32GsrZv/VnGofINoZ8 5IinjrMy1vIYlN/LUlmZDNcvy1jSkqOpH5sbFk0btn6 8vjdalM8zvjJeH53/Oi1IF5jquvH0nuziMNy/VpuPNiy8ZzSGyb2erWYqffo/9P9X4PjFwQgAAEIQOA9CayF5Hu2k1ZBYJPAZN9IHHPJy03MjYDNkiRAIATGz98eBev /9s8aD0EIAABCPwdAgjJv9PXtNQQkOWs8dlQiVTKW2VNmrwMSZYC6lJfm8Q BIQA4 dvj4Pd/v/baGg9BCAAAQj8IQIIyT/U2TQVAhCAAAQgAAEIQAACEIDAPQggJO9BERsQgAAEIAABCEAAAhCAAAT EAGE5B/qbJoKAQhAAAIQgAAEIAABCEDgHgQQkvegiA0IQAACEIAABCAAAQhAAAJ/iABC8g91Nk2FAAQgAAEIQAACEIAABCBwDwIIyXtQxAYEIAABCEAAAhCAAAQgAIE/RGAtJKuPTpuPtlffR0iEJm8/8v5D1OKnGYYgH Mu/9zywW3xov4gvMm3fNV 39lLPtIdpuDFFzfu27xb6r/gh XTFYP7upvlxdB3GP2H TzGZ3APqOdXxs/SSPYgAAEIQAACEIAABCAAgSsJrIWkGJo w D/LSZFXLrP5/mungg9KwpFXIqYXDwOY/M7fhvQljF5t3bn0QU3dhT0qsAU/I8JyVx57JOvMPmPcMrFlc/bB bxI/jxu2SYJ n/WrCOzzQeiqfsQAACEIAABCAAAQhAAAI/QeCckAwhiLhwKi5EaOaoWDkWvc3RMvcZfPzg 2eYps/gJO9FwmMOo3cl4ui8C84KtVZIRv9q0adCsi8GG/turESogu XlcpEOGqk0wU/NUKySh C82P1wfvJp7IiUqfRBxcjmrUQVh 2tlHsiXIWvtovJXMbUfxYCcGStbOT vpf5XPJ1otYD/8Fq9El0ijjQ/yaxk7/b46fNM5iWZ/LdcfOvzy 8rga03hccyheswMBCEAAAhCAAAQgAAEI3JHAaSG5ilK24lKdikIjRcnmOMH/DNMcYuTMig3N3tsmATcVITOLcDwQkqERl3Z5axtVHJ2ro3hR NViT/zqC0kRjXYp7RwmEb3Gv9H74ntsn9j3zdJX8XdwwfkpzBL0nPO2B2R17DtIRDDFSr Dd19Vfa0QnEW4NRHFlcnqwHfsr3gDQASh/0o mjyHEckoFj C8/9y /LW2KhuTjTH442HHAyWqKsViaP7COOUI6azsPiFJdbGX3YhAAEIQAACEIAABCDw1wg8RkiqaBExk ZfIlgjaKcI24jekZat2hWkjGqPJ5thmRFKWwXYUrYjBdoloV0hOfr3cNS6tzUKx9wxnfJ6ziTj2 7Jxik6OQZumxCK26SSZiJ0JQosGW39l6cr6eED0jJK3461W5JySr9tioa17SW9mz6VUCPyAAAQh AAAIQgAAEIACBRxA4LSR7k/7esWAn lcLSdPUeQ7zeByRbEWfCkljKe0 WkjKy3dMdHJVvx64QUjq0lFdXhy3RlhqFXE7f4cYGVZxXyWe/SFLlutnZBGSZ9mRDwIQgAAEIAABCEAAAu9H4JyQnCXCVQsJQfEoISlLT70JocnS1iqK2EQf0zOL dcRvU0jGt7o20cc7L22V6KYb7at/OgPnaiEpfVEvZQ0hLXXVGmXpp9eln3HV7GdcYtrxonNIRKNZOho7 mtVPi4vzVFOEapu0KW22eSJKGF3/ORxtRmRjP1nXjDE0tZOH3IIAhCAAAQgAAEIQAACjyWwFpK9l6lUSyObz0 UT1GI0DRpEiGLz8ml59dENEjkrBIIG20TEejNy3YG 0xib moTV99/qMRjbHOvZft5M952M LtEtTq5fp5JftxBfm6HOQ blJteHys5Cx7r79M1xitLfwVjFlmIsAnOXzJ5/Bm8932OcNN5Cbw0lIrsqbHLIry131GcravvVn UzJ0r5pAjnjpOyljJY0h L0tlzdJdGZsiZFcvHGoc5icEIAABCEAAAhCAAAQgcDcCayF5N9MYgsDPEJjsG4V/pkpqgQAEIAABCEAAAhCAwJ8mgJD8093/uo2XN7XGZ0P1rbKv2xQ8hwAEIAABCEAAAhCAwMsRQEi XJfhMAQgAAEIQAACEIAABCAAgd8lgJD8Xf7UDgEIQAACEIAABCAAAQhA4OUIICRfrstwGAIQgAA EIAABCEAAAhCAwO8SQEj Ln9qhwAEIAABCEAAAhCAAAQg8HIEEJIv12U4DAEIQAACEIAABCAAAQhA4HcJICR/lz 1QwACEIAABCAAAQhAAAIQeDkCCMmX6zIchgAEIAABCEAAAhCAAAQg8LsEEJK/y5/aIQABCEAAAhCAAAQgAAEIvBwBhOTLdRkOQwACEIAABCAAAQhAAAIQ F0CCMnf5U/tEIAABCAAAQhAAAIQgAAEXo4AQvLlugyHIQABCEAAAhCAAAQgAAEI/C4BhOTv8qd2CEAAAhCAAAQgAAEIQAACL0cAIflyXYbDEIAABCAAAQhAAAIQgAAEfpcAQvJ3 VM7BCAAAQhAAAIQgAAEIACBlyOAkHy5LsNhCEAAAhCAAAQgAAEIQAACv0sAIfm7/KkdAhCAAAQgAAEIQAACEIDAyxFASL5cl EwBCAAAQhAAAIQgAAEIACB3yWAkPxd/tQOAQhAAAIQgAAEIAABCEDg5QggJF uy3AYAhCAAAQgAAEIQAACEIDA7xJASP4uf2qHAAQgAAEIQAACEIAABCDwcgQQki/XZTgMAQhAAAIQgAAEIAABCEDgdwkgJH X/wNqn8PoXBjnB5h CZN/vf23dtKz83t2/27lT3kIQAACEIAABCDwGgSeUkiObgjDYP 54O kjObRRdtsUOmnxqn5 C uNM 25tv9i09tYtncPkEwfh7PwY7qo7tX1i27Sr9WPylt/rO/d9tvfNMxdmn7xe9h2BHrpo699p9tz0/n2 UXnZmCL do/9ycRx9czNMbi/vl53kKUy7f43fon/LfOL9 mif1QQACEIAABCAAgXck8JRCMoQp MGHRevNYfQ7E/dOz4zOlq8zyET0V4XkPAanIitPemt/bm3/3PCr2y8i0o2GbvRhm1dd vyvwwn/jqm9/tsplpP221/7JaL6ckF7Jupb13Ps9fPk2OcnbfdTvvUwpwhhNX4nX99AmHx1vh2WVxCtHT0e9v0Lh dXMcQOBCAAAQhAAAIQgMCVBF5ESIYYuSuT1WlsIiKLKNJJpEabdFvKhmxrTGIupu IzpariAO12W570ZO2fPydJ7rRpyjiWpHcCsmm/clI8DFq2xeAmyJG6rYwsoOaX9unWVL0rRFae/xNg9WmOZR2NWKkYtpmyGxaturP0r8LM/V5cGOxtFl37v qr1oms42Y9SO2KiRL3dIXro7sbvqwyU/6Xez4PL59mERM5WNllG W1 bXEWfxy9vlzifat m7VmG2krf0Twgx2l0Folu pqzstuVL8qaQTGWqPiyFosHILPrUPb9sZvYhAAEIQAACEIAABK4h8CJCsn0uag6zWYspYsdOZAX EXkRLJq6DRDyzjRShMwavIXlRGREMWQhF4dSKwVZItu2XyiQqI0ss27LqSGsjH9 anJvjq4m9SUtWjvlHDw W2Eo9W2Jgr/9Cx591/o32t0KyE1Ebva X orw8otIlbapkExLMJexlCnHzXb7dvjF8ZDGhiwP1XEqY3QZ4zvls5ArEcPYEWa8ie8n2rdeFWBb ZvbF30ZAi68rIWlEviktinBVvqSv rmkSCt3ou6mvd3zy9phHwIQgAAEIAABCEDgGgJPLCSbZyRV9UkrZxuRHOKzWMskO2FYC4sFz7FQ WvK2e1K2jZbp7y1R1No4/i0T4Z32HxuIOXpCpncsZjaT9kM J/iLzc26sv976Xv9JyK6Sje Z9Nxs2VfjmufybOOtegykeqqD2rBLs xxmcA5Tk8W6nZ36p/d/xmYRXNSDQtD2yxVcb4Ln Jptai17iUhFvVLh1ndfukzKb/ajD6sS53WkhulFfz6xsGJSXuHPpXZ cXBCAAAQhAAAIQgMAdCTyxkFxPUFO7c7TBCMtqkp3hVEKjAbbKvyFEmmI/ HMv2nKJG8lOJXREqBRFstiyEa99Puf4i Wjif5e l7/Ra9LnzWicmlSiVpV7W/8msVOtbT5QIhl yIkvW/LVpVvtP A36GQPCgvkbomQlh7da59qUxn/GRj8WU6GyJ6tUKgM b2yhd/Sx XI83Otn9NRn5CAAIQgAAEIAABCNyZwOsJyTjRFKzYWgAAIABJREFU9mVp65yfF2u1kS49FF5x0j osyxX3hdKdCV9lLk2QyzNxXRtHS1tToZ5YE9FoX7YzSYTOiA9bRviWFwOJyZP8U9btpatH6Xv9l 1sWo5KjvN2zWkeZUvX/ti1bxySPRv4kT8tHy9lt8W8lRJdcvboP R0JyRP825cHyVtQ5S2reo6caZ 2Yt2G9OIr xZlyaO2YzmJNJo sTcpYjRZluma9FV5rfxQSB7frFBTbCEAAQhAAAIQgAAE7kvgKYVk/fmL5nmrHFHSpYny6YYohPSZw8wnRpp0CZ9EnHJYSiatWjZOfvde/HJf1qetHbU/GRKxufeMpFbXi9okMaAcVp /sC9jEXbxWb3lhTuW4Zq/ qVLJnWrEeaj9OT3Vv9pq I29p3arVLMj6b9pr9FPKf/JKqZXpajv0X8KJ/BuRjF1chmegFRGpdpP7UxCdrj9m3zM2VlcGZfxa6WkcO6L/6t UsL6v4V/0c9AWID25fx1O1LDPT/DT8RsnpemW0lJPPNG VXCf0T5S1TtbH0lfql28Y/PcwWAhCAAAQgAAEIQOChBJ5SSD60xX/QuAiPajIvUTcjqNNkvXlW8BU4nYhYSTN67X F5j2Lj8/O79n9e5Z xA8IQAACEIAABCBwTwIIyXvSxNaPEKgjVuuI9Y84QSUQgAAEIAABCEAAAhD4wwQQkn 482k6BCAAAQhAAAIQgAAEIACBawggJK hRhkIQAACEIAABCAAAQhAAAJ/mABC8g93Pk2HAAQgAAEIQAACEIAABCBwDQGE5DXUKAMBCEAAAhCAAAQgAAEIQOAPE0BI/uHOp kQgAAEIAABCEAAAhCAAASuIYCQvIYaZSAAAQhAAAIQgAAEIAABCPxhAk8pJOPH4c3HzstHyduvn m91nPnofPv9xHWR/BH48nH6dY7nOmI Wi MHui3fGbjmN81dOYweRe0X50f43ctz3ZvOOrfo/RDl9f zZ0ytg3DIN/hrDMdpde5H/drdOtPpMyjD84NQfx TB9Le/JYbcHMY3BuDD2mj6OAZQhAAAIQgAAEIACBexJ4SiEpDRydD9W8XCaf7YT0gMT5D5VPwT9QkB24e V1ynoyLWBmvmJGv F7nxVWlks/G6XkOcvPgwu4NR/17lL7lfBTQfipCZxpdFOzG4xAif1/yrGwdpa8KXHbgdP JqG7BTr4Wj5O/mP2xt9KnLoxT/7wVxq1bxzbJAQEIQAACEIAABCDwLASeXkj2xcAcRhvRcmMtOjPdftkQwizCUaIxKSLjp0ZIVulD kIiZFREyCZayEsmZJLITI4ON8N3oYfFJI3Ht9pLIkNiJE/FWFMR664iaRC29RqVE4HSivdWkfieip23X9tvoYImO7vGT qvKOqD2ypvsm/2b8xylG1PLbhSA4/I771nhYxmUPjQ3Io7SQ2jGr3cxQlcq3Wv/mf4rhuSGzFqwrW4 nOkTY/PMrtQRu3nLduZsz6szdskDAQhAAAIQgAAEIPAcBJ5YSKrQWy vXC3VixPvWuwJ3r6QENHow1RmsFl0GSEw ibSJPZ9Iy6i2HJRFM1ia55C3P5Iv0q0R32cYzS1NEcWFMZJvDki/g915PJMRKvPr8NVxKwRh7v8usK3hrZb3mTd8k zHKVrPrvdLNP6nYWQLVvt76SnOpaI5yxj6cLxd6b/0tLS9Q2OrpA09VftuOJHbJ Ohy0hGZe91mPyiqooAgEIQAACEIAABCDwSwSeWEimCfBqYr8xMV1NjreEZCsIBLyd9Mt J2I3DM2EvGfnRCdKe0oUq6nndERS6taJehGOWnkTXdXDzfaMEFmxLzZEvKqQlaiXEQRH/I64HZUvPnQErUmT3W3/m4zm52aZ1m87Zkz5srubbiPiQ3D2xsbJ9p/pvziuh6Wf1LfVubLrq5Y6v 1FZHtjuxctPV8LOSEAAQhAAAIQgAAEfpPA0wvJFRyZ9BoRpemryfGWkGgFgRioJtLnhJgs6exNj tWfR257E/XlObjkv4lHdl05I0Q2RVVmG7tBOFT9ccCvYt1z7aC8KbLnn2Q7Sjemlt0N/4R51cyNfMXQUbpmnOcgL75ZIpLn2n m/7aFZKctVePUuTtshcOGbYTkHfhiAgIQgAAEIAABCPwSgdcTkvFFPCYCJuDuvLRVRKkbq1f9rLvn 14RkTyimpa7qsYgeK3LnyKcWDzaKGN/g2Ylc7Qux5Ie1o5CO KV0I3Wjf8tbT4/Kaz37/h0JyTn4GBFuIs0xwivPxS5LT7dfttMsd1bHZLsjJIWZX9ZWB1naasXWmfZb7lv9t7W0VXzz5g1N Ut9K6 lzsqsE28gT 5tCcr3c oQ1skAAAhCAAAQgAAEIPAmBpxSSEqlYln82ojGCa15WUr1sp/k8Rlk agRDFlapDplE5zLlObH2ZTX5WchYd9/ rfPtU NBJuWlPcrF qPHaj5DfHumEW5Re eXBIk9u7RSP9lQ6tG MPyysyLklkiobcEev5QviZ9s2/kwGmElL6MRcVPGgDvmvyw9tjzUd9m2/mu 9rj4V9ffvmypHp 5DjMAjtN98FX77DO76/ql/6ywjTlEfGofVf2X Or/t6J MQqay9ubDlouRb11POnRy7Y2cr6qIwvtelReZp/cEIAABCAAAQhAAAK/R ApheTv4aBmCLwZAYksGpF7rnXpcywr8Xeu8Klcq6XCp0qRCQIQgAAEIAABCEDgWQggJJ lJ/ADAg8iYJfBnqoiRr57kdpTpY8zEY08ZkQOCEAAAhCAAAQg8OQEEJJP3kG4BwEIQAACEIAABCAAA QhA4NkIICSfrUfwBwIQgAAEIAABCEAAAhCAwJMTQEg eQfhHgQgAAEIQAACEIAABCAAgWcjgJB8th7BHwhAAAIQgAAEIAABCEAAAk9OACH55B2EexCAAAQ gAAEIQAACEIAABJ6NAELy2XoEfyAAAQhAAAIQgAAEIAABCDw5gScVkvsfhH9ypje6NwWvH5qXrR tvtLddXL7l95hvBa77bxpdOP05Q/n2YWbQ9e8ofbvJOWXt39wpM3lX/BiGtf9H6R2TDznU 7zHPPrg3BDE7y7Dmzxp U21NT7vUfPgFwQgAAEIQAACEHhDAk8pJKPA8VPQyb2IEBFU vsN 2HdpDwZF7EyXtHw0T3wO4Brb6sjyWfj9Jw cH9aSGZr87gvgo7SK6fMj1PjK/L322PuKN3Ud83u6f4TUd2CnXwtHid/XsSfcFa4ezMo4 9GSwrj1q0TpskCAQhAAAIQgAAEIPAiBJ5PSGYB1fLTiekYoyx1JE3SYgRLxKaIzmEIzvvgNLLXi qp5Cj7bSXlrkar2JJIzSWQnRgbPCTOtXyNqdntJZKhMzltREMHUESER2d5lwSn8tN1mW03qdyJ6 2vbIRcSCyVuio3v8pP6qsrYnQwh75U12YbDH7CjdmFp2D8aXZLQMSv ZyPBReghzGE0003kXnCm/2/4z/be0Jsj50OJe3Xw40yfG5tFuGZs5Y7cfMmdzO HILOkQgAAEIAABCEAAAi9E4OmEZHdSKkBVUG1Miu3kWWwMIh7zLFbSrCAZfRNpEmHjmyWkUUC5K IpmsTNPIW5/pHMlgqc zsE30Vhpj9fGiT/i/1BHLs9EtLZYr44Le6NWdvlpP 1w2i1vyq38MGmx2QdCs8kef27abP3OQqhnIxuqxaHJmOpYIuqzjCUjJM 0/0z/hSD9vr7BYc FI1 N2xfsyo0YEcdDcM7Hc2ctGNdj8oIKyAoBCEAAAhCAAAQg8OQEXk9IhlBEVoxORpFViy2ZyBvds4 hQ6QwRCCZSVyJO7YS8FRYnO1LqXmzmSGmuz4rZXXONcEvCUUvIJL4RvZpktmeEyKaoCsJThazwN iL1iN8Rt6Pypg3b/qVMR nGVNndLNP6fYOQjALPRrzNTY2z4 9M/yVbSz9pIx8uJOexOr/keUyz0lXd6EZLSyI7EIAABCAAAQhAAAIvTeDphGScHHeEkiwnVHGYJspJUMX9sV5OKWJB88beqU TCOSFWIqC/0L3dpZOlQcn/dQSodvSMENkUVVFvZ4aNqE0iaUfIHgkwiaJ1 rf2Pv3a809yHKX3bJ4ZX7HcUTuO0rXyeQ4itJaI5Ln2n m/bSG5nCulLWX8qGPXb1dCtTq/Fru9ZbdLKnsQgAAEIAABCEAAAq9M4PmEZH5GTZZSqlhavWxHXh4iz0DmZ/icq4XjvpCUAKUsdW3eDtL24sbkuM12/989oZiWuqrHIjRtdHPOzxxarWCjiPENnsM6crUvxJIf1o629YhfStfey0tvTR8dldd69v07EpJz fvttb mnPEO7M77EgSOhuJMuzOzSY1naapcGn2m/5b7Vf1tLW8V3 zIcqc OjchXn31dJSj97W06v5b jb9XIUmWtm4TJAUCEIAABCAAAQi8PoGnFJLyshKZ/OoSUefrl GkSIwutxTBoPtJXGi5OEfWCbO8gKdMdmv7gzzvVYSFTIDrJali74r59uWjQ8RJqVvbZP3RY/XLXMT/0T4zGbVb87KhMu 39mw714JLBMLqjaCxVXv8UrOT NGXIPnGv73yR/4dpSt2zbdu19H40hc66TiKWzMAjtPlRscyfu3zuplONb7r8ZdziPjUsWCXxmrz8nYr6hejoDtLq lPUW8dTY/TwZz3 rEguRbPQLsOuJLADAQhAAAIQgAAEIPAOBJ5USL4DWtoAgR8gIDdKjMg9V2P6HMtyY VcqUty2aXol5QjLwQgAAEIQAACEIDAaxBASL5GP ElBDYJ2GWwm5lsQox89yK1NtMN 0Qjb4BHUQhAAAIQgAAEIPAaBBCSr9FPeAkBCEAAAhCAAAQgAAEIQOBpCCAkn6YrcAQCEIAABCAA AQhAAAIQgMBrEEBIvkY/4SUEIAABCEAAAhCAAAQgAIGnIYCQfJquwBEIQAACEIAABCAAAQhAAAKvQQAh Rr9hJcQgAAEIAABCEAAAhCAAASehgBC8mm6AkcgAAEIQAACEIAABCAAAQi8BoGnFJLdD77Lx9XP fi9Pvq238zH2umvyh vdWB8lf60PsQ9Bt982g TH/W/yvr/rli7QfpfXCX8Luofx7XKukr7afH1WIsx89uDHls6uc38viL49WFcTb5t3afhN WexyHAAQgAAEIQAACEHh/Ak8pJAX76HSinTtBJuEXCjERceeEwhT8JULoYFxM3gVn/c/f1Tso9jLJwtUbxTNP42VCsnTp2f65HM1q/Fxu4kEl0lir9eIcx3t97Lj68 P72BY5IAABCEAAAhCAAAQgcAmBpxeS/clyExFzY5g6re6XDSHMMpnXyJALfmqEZJU BOfHYCf5Nuo4jT44iSYZ4ShCcpTjKnxbITmNdf2jeq/RUZ/TfZimtf3a/7V/HRTlkDDRaG27PSe6Q0hcp4pJqUB2Dvhp3nP902vfHIRx8d8JzxzNq6J 2sdD0K6IdR9G9LbHl/JzPvdL0/fatr2t N76U7HfHB 11R4/9U/t27FaSp/sn5KfHQhAAAIQgAAEIAABCDQEnlhILiKgmmTHaGWzBDBOjGuxJ 3sTbRDENHow1SUYRYlJiI5el LJLHvm6WvUYy4KBZnsTVPIW5DiCJHAnZRUMa0NmI3l7zip0z2deIfohBK7ZtHWaKbfLXi45R/TUff92diFgX0kIVe4RnCWf/6/XNcPrEwFUr/DPWYOBOR3KxfRalCa8ZXFGtmDIk/7RjVot2t9HHpcDNOSuad8VHybI3vdNyYlwoq/872j6mKXQhAAAIQgAAEIAABCFQEnlhIpqWtq8l MwnX1hTRpge2hGQzqY7ZxaYKySjkFhFbol4i6IztdnJeJ5nomBvDbO1LxtlGJIfgXCMk1RcRq1k RCIe4e9Y/65DZjyIoPz 6tC219yIxZG2Kn rzBf6t jazUYFa 6f8m ix8cPuXi0kxf9KhSWrdnyVvtAKe2NK0za2o4rVdmxI/r3xYex1 eVxXzXB ndB/5iq2IUABCAAAQhAAAIQgEBF4OmFZOWt/Dgx0dcy3Ym2nVQvGRchGSOWTfRR89ltz05OX4mO0QhVsS/RsyUkGiOnZeJvhUVPSJ71z/r68H1p02VCT1zq9s9h 5KQNPHIbuueXUjqjYiVKD0aH6a1fX6JaxlPkr8aq eEuKmGXQhAAAIQgAAEIAABCKwIvJ6Q/IGlrWmpYhV/XIGrJ d1shWSaSmtPEOZxWkUir4sbZUX1cjzmmXifygk01JIV56rrOt /K 1EG7F/Sl m0LyuH3t21bnuPTUMGzGiCwRdkOzXHmn/hItVJidpa2lvyRPJdRKoeBj5FcFth7X7Ryf65SXMlWi Gh8aPEd/63AjC9CkuXH5uVIZ/vHVMUuBCAAAQhAAAIQgAAEKgJPKSTrz3/Uz74l77dfhhKFW3fpppnQZ GRlk7ml 3El6ZoJLJ9mUt FjJWLkJqvfRVhYW 3ERsl8m7XfqZBYAu25QX UzxBTjSTmNbDEq5bEfEgeynevb8q/r3AT SkPTVy24M21jjnn mjRVHa2OvvFRQ9/8gy0RNhDfmEHGn9s3zjKfGR2Nflj3rbQXth9IXuY 0nxbg2k7briU1 rjxVmFbRz0 pJTabcegqceOb2l7fNbWjMdwxLf2k18QgAAEIAABCEAAAhBoCTylkGyd5DcEIAABCEAAAhCAAAQ gAAEIPA8BhOTz9AWeQAACEIAABCAAAQhAAAIQeAkCCMmX6CachAAEIAABCEAAAhCAAAQg8DwEEJ LP0xd4AgEIQAACEIAABCAAAQhA4CUIICRfoptwEgIQgAAEIAABCEAAAhCAwPMQQEg T1/gCQQgAAEIQAACEIAABCAAgZcggJB8iW7CSQhAAAIQgAAEIAABCEAAAs9DACH5PH2BJxB4AgJzGO W7nPMTuIILb0iA8fWGnUqTIAABCEDgjxJ4PSE5j8uH5rsfnA9hdO3H2vNvr5 VP jtzY/M98rlD8S7sZf4lMfWfFzwd1IO8 jCMAzhLOpHAFq3j/6vOOv49lPQ/nKm/ WY/V2VlR8H5Vf573zglft38mksKl/lL fM8JsnzT376GB8PPv4uicKbEEAAhCAAATemcDrCUnpDZmo2EmXiEvng5WJY/M7SB5b5kSvHk54io0p BcSkiGI LW85jD6y6JQK76FRYji5ELUpnTeNTcMLu03sbDy7936/xY uWwUM3nSX/fX3IyPpnsOyzf5ez9v8f/F 3fyrr5eCYtnu37c0j H4 MHxldvzHEMAhCAAAQgAIG7EnhSIZmETbxLPwzBxYmXifi1QjIk8aJ3 YWQCom GGzsu7ESoUq4X1YqE GoUU8X/NQIySpd/B DXSlooxLT6FOEtRW 6kSzFZ US7u17W KNT9bIdmIv2ms2zcaiW4mmLZ K0TERz ayPHJtlknhVGKks4VO5tnb/9d 1/bfBOf3Iexz6KQXN9E2Bz74sCJ8urn1vYm/1/8/BYhOcp5ryeN8LRCcvP809UPPp fPkxT5/pxcP3Z6hN7/Kb OTE Hj2 bFvYhwAEIAABCEDgMQSeUkimScZUBMQsk91qotVEJIVNIy7t8rdWYK2eAYsTr1rsicn ZEdEow9TUYZzkImh9W/0vvgeu03seyOE1d/BxcnkLLbmKcRtLPDo/7VCsn1uaa58iZNKoyXFOxVqPU F2yARz8woRmDM0slemdUxmSBfWsYYefv v4mP9H8Wj3HSb6PTCrEdI3pctmfK2/yd/Zv8r5evt Pk2c/vKCRnuWSZPrDXt7Bz/sX SuXm0ZfzTGypLj11/el0SXXopv45Mz4ePL6qxvADAhCAAAQgAIFHEHhKIRknqiXiN6RlYEW4rUVjBLMSkmlyvBKDMhHT GZchWiZ15tiqrKT1JlhiUyeCcaKn0Uq7bSbrPTum7q3dJNKs3WW/nVBv2UhCYCk3DDIJNYBnG5EU/utnHo EZIX44ramiLG74aUv6t qD1 8/1Of3s5ne2wsKSt2S9KNe7f7/8r9W641 box2 uHkN07/2xec82TvornnKTrs PVtrn 7Pbg7f2zaz4nPm58namdPBCAAAQgAAEI3ErgSYWkadY8h3jnXYWaJJkJlOZsJyU60dT0spWJVqV yUkqZ3JWMGxHJniiykzuJ1lhfjb1qt2enyvDIHyeiAUZYlkmqcWmTb47kVogvbGupL3Md5QUllU HjyMbupn9v0P/34LOBrTmcxom5xdCkX/fzHv6/cv/aa01kIcvAyzUjR/O2zj97rTHXwcL07PVnp uKrRvOvx3zJukx48tUwC4EIAABCEAAAg8k8JRCUpam2QiZLG2txJ ZQEU2cWlqfcd9c6IZl2U2z4TdeWmrTBSdfa6w14EXiqueieuP7QjJOHn0ZWnrnJ/XanWcXT4oQt8Ny3LeMhFVBy9sq5Qf8nOlwlKWDV8qZt65/ /BR7vmaCt1nY90H1lL6ffw/5X71wrJsvpCheTR XcoJNOS2cPrz05X3aN/dsxXSY8YX1UF/IAABCAAAQhA4GEEnlRI uBFQOjSLPtMokyk9LhubXoUivWyzfWjdmnpltqXaMDyCKCILFte941QjcJTj4vozWV0Mhjyc5Nq x VnIWM39u23Qu1hPX6CT5xIZt/lRUFTfOaxFt9R3Jf2Lc9D2rKxTSL61da6IzaaafrH5ZeJXADIPh8py3bX1Rr78jKnl t/4/8VfDagbxxONx0uFfIbxvLh2/x/5f6V541X54OcI XakVZClDzV WeuHXI 5HNLhL6ed k02bv 7PdMSr2tf87UsOR5xPharLMHAQhAAAIQgMDjCDylkHxcc7EMAQhcSoCo0aXEyH8JAcbXJbTICwE IQAACEHgeAgjJ5 kLPIEABCAAAQhAAAIQgAAEIPASBBCSL9FNOAkBCEAAAhCAAAQgAAEIQOB5CCAkn6cv8AQCEIAAB CAAAQhAAAIQgMBLEEBIvkQ34SQEIAABCEAAAhCAAAQgAIHnIYCQfJ6 wBMIQAACEIAABCAAAQhAAAIvQQAh RLdhJMQgAAEIAABCEAAAhCAAASehwBC8nn6Ak8gAAEIQAACEIAABCAAAQi8BIGnFpKTd Xj3fJh fab9PJxb/kY993/yx/6lo C9 zXH0SXD4y74O/kR/1h8bu37HaD8xjcsHxUPX443fkwmW5Y88n52w7c8uaAf10sf6TdfNC9TnX6/MR845e17oeI3j4Gz/Pl X1B7p PNT0Pb1rgN1oQt qf2N68sFlvpZ1f6j/O/XylEIQAACEIAABP4YgecVkiJYnA9Gn/x412x/KFvEiw9T8WgOo3fhEi05ivgq5esdqfep5 QyUbUO5r6y7Vm1T/LYMnWTu7 2 bfZp B/WkgaQX1pu8T7V YjN3jk3Cz9Hft/bDvld3/f0j 5bBSPWZRdOHRPtf38 D5lbsn0Q/4vFbIHAQhAAAIQgMBfJPCUQlKjHjHKodEvKxT0jnvnjr5MzmLExPslcmYnvdLL0xi806iaRBPLl LgaA9sTvVZIhhi5KJPNPftmgmvbV8qGbGs0kb/W/8rL oe239rW/fNRlSSMS7koHIxQaIVk9tnaV6HUZ9jYd MiSkxz mWlMhGOpv mRkhW6UNwfqxuSOj4En nMY TCxiLi2IjRaHnyrZxf3f3lfmIkByFmw5aGdPV bl1fmn02Of 82GaOvwP m8XbE68qX/yORqbF681F9wkMuf3Ul7G6trG5vgOzflhz78z9m/x/wxc8kAAAhCAAAQgAIEQwlMKydgzMhmyk9NOd21NxOT4IMIghzNjBKUKF85hNqHOOOnsaMkt yG0QnIOo7MTxWP7KiQ6zcrL6fb875W637HU7qkIpFkm07YvOkIyNMfs8k0rMMXLmpUKw1rsSb4 fxGNC5sQ5hCXQBv/Rt9EskWYeCOExXgWCCKG4liY8/YsRhFA1Zg6WzDle2U UUjOgjCP dW5ujP o8hJ5ebRh0Ei 9mW6tJT/XeE 6b kfPbtK1afXBUcRy4welS/NxebZst3R/fOu53zj9r0 4X4zf6X ywAwEIQAACEIAABLYJvK2QrCZu7aRythGTITg3dJeSbk30kpDUiFiKNnhVrcL6hP0jIbnr/3Z/lme6NJpot eFj434CR8r3LIIqxxcH9P2rRjKxLctG4tbIZ4auCorh9u zLzLTYc4sbZ9o/tmKeaWnVTtif niJGrbh6cKGayvDKfVkDOwtwI d3xb/Oamw/S13FYnO0/w3K9e3v/rG1eeGSe8oqI9bhWS93xHRMPzj/Jc8K 1sMWAhCAAAQgAAEIPILAHxSS W69EX5lEtsQ3p3obUYpztlXIdFUGX u/OmJp17BRxyb5xAjR1YoGAGgVbasNtsnQuGRQlKixdZXdbDd3sC09E8WRaO8gKbTprZK /uV RQhmaPGXpZhF YH4/9ISJ7tPwuz2b9H/zQmL/4Zo/iDPEsqAtksfzCW2nPGJC27vfMv6kiJ5u7bX4ywBwEIQAACEIAABO5P4O8JyTiR9WVp65yfZ zpgO2JnkyWmwiX9s1J 3Z5pwg1NyzLMctEWG3eIHrUxCVb8c1OfmVSXIm/VkjGZ9pqHptC6QeWtorQcRvPvRYONzCV/hnyc5dSlyz77UuFUttq55X5WCEZo/PyvKoKyaPxfygk05LZw/5bEV0O3KN/Fmtbe3Pw8fntetxL7lh/ieKn6GJvNYDk6x0/Ov/O2t/ynOMQgAAEIAABCEDgHgSeUkja58fK0syi9ETE6XJFu00TujjJyumxSHwWLuXTSZvNIy9imeILen QJ2r59gV77p WW7ti3n/JFcabtKJPOPAk98H p6TF7InK8/fSK8U WLV72 Y81H3muUd5yq30r0azlEdVj/t2X7QgzFTP63GTh66IQTmKvb78Mr1NIjf8uvyzmAgNH4 eZ eiXFAzSAAAgAElEQVSLiqTv9HyKz5sW9vUYrs8vw1545XNT7Og5kzDm5167/Xemg27rnzM1LMvbayGp7RA sS2r649hoO2L28XO3vl3bP c9 SCAAQgAAEIQAACtxJ4SiF5a6MoDwEIQAACEIAABCAAAQhAAAKPI4CQfBxbLEMAAhCAAAQgAAEIQ AACEHhLAgjJt xWGgUBCEAAAhCAAAQgAAEIQOBxBBCSj2OLZQhAAAIQgAAEIAABCEAAAm9JACH5lt1KoyAAAQhAA AIQgAAEIAABCDyOAELycWyxDAEIQAACEIAABCAAAQhA4C0JICTfsltpFAQgAAEIQAACEIAABCAA gccRQEg ji2WIQABCEAAAhCAAAQgAAEIvCUBhORbdiuNggAEIAABCEAAAhCAAAQg8DgCCMnHscUyBCAAAQh AAAIQgAAEIACBtySAkHzLbqVREIAABCAAAQhAAAIQgAAEHkcAIfk4tliGAAQgAAEIQAACEIAABC DwlgQQkm/ZrTQKAhCAAAQgAAEIQAACEIDA4wggJB/HFssQgAAEIAABCEAAAhCAAATekgBC8i27lUZBAAIQgAAEIAABCEAAAhB4HAGE5OPYYhkCEIAABC AAAQhAAAIQgMBbEkBIvmW30igIQAACEIAABCAAAQhAAAKPI4CQfBxbLEMAAhCAAAQgAAEIQAACE HhLAgjJt xWGgUBCEAAAhCAAAQgAAEIQOBxBBCSj2OLZQhAAAIQgAAEIAABCEAAAm9JACH5lt1KoyAAAQhAA AIQgAAEIAABCDyOAELycWyxDAEIQAACEIAABCAAAQhA4C0JICTfsltpFAQgAAEIQAACEIAABCAA gccRuElIjh8 TN9jcJ9T18Oj9G4hDkIAAhCAAAQgAAEIQAACEIDAUxPYEZJT8P8NYfgYNxowBf8xhvmfD 5r7uQ5Su8UKYfmMH26MEj9/w3BfY6hV0PJ/oM706f45ML4/ZhK56/Ubv/vMfbvYXWPwV7aPeoWGz9RR6pnGYPS522fiB/9sX vlmIHAhCAAAQgAAEIQAACz0lgR0iGMH7sCMkciRTh006wY1OP0nd4xAn651TE4yTiSkTrTpmfTB o/bheSMVq74fQm0438v3F4j8Fe2r18fXgdMn4//K Nub3xcS G2IEABCAAAQhAAAIQgMC1BI6FZGfZaooIpWihRg0Hk 8ofdfZOIFfR0HFpgjWKG4lIvjlg8sRy HD1xHCb4mGLv7ZiKZG/NxnXb6/OLfvaRQx/8aljrjE1 adw2gjqh9jKPalfeq32VoxHoXkl8kn9q35nf3Ep46Ulf4o0eUd/0rEL9mYlHPjgwo55RnHQRb7N/GJbdv3T7Ls1R9CU/7TBVfavgMvJxVepn qyPw/v0TLO9F4LS/Ryj6/Hf9OjI/k5pxWDPx3fmwct5wcEIAABCAAAQhAAAIQOEdgV0jKhHhz6V5e0ipLULvLPI/SN/wTYdKt0yyhFbEUxWFZXjoHG8EZP5tIkgjLz0WcRvFjxJ 0oVvnho8aqZ21/ihclwm9ipxSPKbXEVXrb8mXd5I4k dP04GL/BMhYkS92rb9dMa/EMWSi7ZiO7 nUNprhFwUSoal1HcrnzP aZ5e/WkMLRFtWX5dCUGFsrfduKFhi2yOVcm0wMf3vjI/mAkLR9wT4EIAABCEAAAhCAwM8S2BWSu64cCcWj9A3jm5PzSkiuxauUi1G9jYjOYCI3Ja/6YGzrob2tihibp9g8IeSk3J5QKLa0gov9S0K6CLowp dZxd5J/0QI7YnrKOYl6muWIKu7N/E56d9e/SE0EelG6Kqfu1vx4yCKKf20yWiX37F/e Nj128SIQABCEAAAhCAAAQg8AMErhKSunSvLGuVJYAmCnaUvtuujQm82NTln7tCJYqIJfrYq t2oXYgZA0Lrd9GBOXYnlC41b9UV3rZUdyXZbLq00mhdkZIelke3Cx5TW27gc9J/0RIbtWvzOP2ew7z1 9EJDdFpnVww7 98WGLsw8BCEAAAhCAAAQgAIHfIHCVkBRHNRrTE3Vn0vcaG5fUmkhX 7KdGI2SN7nq0lJ5Js4IGhFP7mv7qcJbhZrUH1/ k uf/6UXs2iNKybdpa2L2BKh4/5bluPe6p IwCiy5Pk9iYx91C9EOuPfsZDM/kf7y7Je6ddb Zzxr Tp1i/tXV7NFN8srEJ6b DZtI0bGjaLngP2WNnfiUiK70f lfbFc60eH6kOlrYW1uxAAAIQgAAEIAABCPw4gauFZIoQyidCFgFkvT9Kt3nX /uf/4iT7H9meeBq6WJdfvjIz/plAayR1BjhPHhxSuubtCt /kPEo76MpVP/5st2ssEobjrlRZzc4l80LyKofKJEBMciWlP1zcte7MuAJKKrfpmtRoOlfGHwrfvpxUYSgStpN/HZ80/rTG1K9S31i39yU8Gblx3Jy5j0edPU/v3/RyFs2h77owjRPp9l6XQ/3fI749/W Fg813pqEb kswcBCEAAAhCAAAQgAIHHEbhaSMYI4MYyRHH3KP2WJtlozS12KAsBCEAAAhCAAAQgAAEIQAAClx O4WkheXtV9SlTRooOXodynRqxAAAIQgAAEIAABCEAAAhCAgCXwckLSOs8 BCAAAQhAAAIQgAAEIAABCPw8AYTkzzOnRghAAAIQgAAEIAABCEAAAi9NACH50t2H8xCAAAQgAAE IQAACEIAABH6eAELy55lTIwQgAAEIQAACEIAABCAAgZcmgJB86e7DeQhAAAIQgAAEIAABCEAAAj 9PACH588ypEQIQgAAEIAABCEAAAhCAwEsT2BCS32H0H2EY/ov/nP8Mzn39WEMnP4RhaP756cfqP6podI1v6mvjo7TDjfPa3ORL 7rp6xI/eGQKXtsjWzc rO5NPlfXaH13QdDPo7s76zQ k/3W1b20Nu 1v3 ijmt9oxwEIAABCEAAAhCAwN8g0BWS8/gR/PhdCMzT18VCcnSf4VbpJyLgt4TW6Pyu/6v0eQyuEZIF4MbOb7Zvw6XlsLTHjWHyfcG0ZOzvrfj0s93/6OQ7Y2YO3vnQkfRX1z 6bS57aVdX2BT8iTqaKvkJAQhAAAIQgAAEIACBQmBTSLrx3/bEe/4XvEvRSolaOv 15J2/gsuRTI1oyvZCjRUd7AktjTA574PTyJkRfSla6MI41ukaGNTy6k K7pjIoQgotWu2ml/JqVDq RhORhy7ZaWCeQreRD2dHxe 6sDGVtu3iugOpo0bZe1hsRPbvCHMRGCWOtwYvAqrM/x2 Gh/iO14E8HkLdHRPT5F0M8pspoaEXwVWZ3DaPyPgtk0Xn2Q icdR2aMSVYVchVvl/oppk3CJEeupWylYvfrD Eofb9 0xR2IQABCEAAAhCAAAQg8BACXSEZwneY/EcRhFEomonw6D9rYSPC0tdLXx8ZkYyTdzM5F1FjI5ciJqP4Kj7PQYWfUCwiSZF2xJLNr9ns1i5v tXXbPFLPVprk20offRM9E HkH7fE1Pqc9hOvhE iebWQFd7eKiPxb6gjdEf89tq/4iL9Y5T8Lp8cSQ1x65LvRVym1qkILO2OwrRuY7oZ4GK9s4CYpxC3uZDaiELTjEVJjmNDmOn4i/aXCLeW3ar/KD3VkXj36i922YEABCAAAQhAAAIQgMCDCGwIybq2efoMgz4juRFxHIZ6KeujhaTRFUEm/VawrSbijXi8j5BMwmAlegy6vTTJ1k0X0WMioSXqNyxCxFSx2hWbS5n6WU7LaFXQHmiEWxKOmkGi pcei9hYhKRE5uxS16s9DPsm/OY6JKUUOJaq4hKQrUVpa1S7hbcaU5tNtvFkhEUc/1TdVTLRS88pW iWO2UbUah5hHF08Ss8F9upXm2whAAEIQAACEIAABCDwKAKnhGQI/4IvQlGWtdbRx55zf0VI9tqux7pCURO3hGQ4J9SMmbvv6tLOSpAW5Z6F2kGttwlJI7waURsO ciSVh 8H6Jwi33gTGT4pFBrb060zRUh52V5dbPkVfJVwjcXfISQ3Kq/9ZXfEIAABCAAAQhAAAIQuDeBjpAU0fgRxml52U6QKKT/V qOy17H5XdJMDuj 0gRliiYPoMbmuWwJu/W7pYQK5NyLdhEj2K0Rp4r1KWF8syZmfBbu/OUIoAlYpVtWjEwx fk6uWm1p660W5tPW2a/N5KT0t1b31VUa/GM8d6QrHmJ0LT8prj0s0k3LSGI3577U82kh/Wjto 4iNlisCTsTFs xZtbixttW3UunVb/BL7ZmxJuow/eZ5Tx18cYyZPKavGmvqP0lMdOYLZqV/NsoUABCAAAQhAAAIQgMCjCGwKSW8 /zGs3sCanqEsL9NxH1FoFt0mImkS8ZhfyCPlbeJBa/YiYiK NFIWg2TmZSw68Y8T8UmEyMbLTrLwiXZkgj mz3FoeXEvLo3UJaaSx/gfhYKmNc8GxohZSbNLS3Vpqv1ERS891h7flqrtHEQYdZZQHmC8PLlaNqrPPFp/9Vj9Mhjxb7SAdvlZe1vtT67Hvi6RUNuceZdPHD9l e36 c39l9n0/bNupPGZWNixKuOnpOUbFGWMmfGzX7 0s bbfxlQv35LiX0IQAACEIAABCAAAQg8ikBHSD6qqp zu4ro/FzV1AQBCEAAAhCAAAQgAAEIQODtCbydkKyihSUq9fb9SAMhAAEIQAACEIAABCAAAQj8GIG3E5I/Ro6KIAABCEAAAhCAAAQgAAEI/FECCMk/2vE0GwIQgAAEIAABCEAAAhCAwLUEEJLXkqMcBCAAAQhAAAIQgAAEIACBP0oAIflHO55mQwACEIA ABCAAAQhAAAIQuJYAQvJacpSDAAQgAAEIQAACEIAABCDwRwkgJP9ox9NsCEAAAhCAAAQgAAEIQA AC1xLYEJLfYfQfYRj i/ c/wzOfV1bxxXl6g/OOz G6nvuV1j8ySLVJ0iGIcSP0svWftU hPjxevmI/eq/yZcy3fRVgZ86MAVf2uOCuD6P7u6 Tl6YJftty/bS2rzX/n58Hc81vre uzr5pW lP5rhuz1 rwWv5Q7G//r8csH3ziO1d8FWx3Pb1srEPAbnXuuaVPnPDwhAAAIQgAAEIHAHAl0hOY8fwY/fxfw8fV0sJEf3GaZi4bIdmcg7PxXxOIlYuXDiNjp/df1nvD2yv0qXyefu7HRdq0xqn0tIRvXb8WkO3vnSX uWXH5kS9yIpb20y2vql3hkHfcY332vrzgqoq03LqNYum fXurd9viXGxr2/J7D6Ps3HrbqXJ2fJqPU20NiskQRfZTH5mcfAhCAAAQgAAEIvBuBTSHpxn/bwmD F7xL0UqJWjr/teSdv4LLkUyNaMr29KQr3 1vQcvkW2y0EYMUPRoWcSPlS9RsiQZq/Sma4cI4 iWf8zG6JnXeal/91olqdzJ8EHFRG92y0ckpeLe07ZKIrbavREkNq1OitQjiOUUnI1jxZ1S3hWKc2GsdEr2xNxVsn0 3aD43wVyFX ZtvJsS0aVwYSNkqsLtf/5F/0pC9 lflvYsRKgNge/dgfB Nz2h43u5/5eV8Pb4tf uc1Kfnhh7X/tH i1vbvzvj91T9tu8k0jn2vRNb/THZCsl03pZ27Nk/uD4IA6nXj Y60ozN1AdEJXW8sIUABCAAAQhA4G8S6ArJEL7D5D KIIxC0UzUR/ 5CEfhJsLS10tfr41Ibk4eJ18mlXGiZ eeJk27UYWc/rZbmTxH8VXaNAeb/1b7UlcSBEns9SfDacK6lSY2tliMvokUibDwVsjZ1t55X4VQ3LooIGfZL7P4RYSVmqPwaZYCRjHi UuRZ mGewlz6Y7ERhWYjFCNbEZWaP9pfIlQqArfqP0qXcpqnV3/qlyViPktbrNAqFa93tvo0mDF8ND6P l/qGAwzWaLaH2drQVY81n4uB9Y7W205rn9e i4v8TbDp1S0ZT E1m85f21E8ti Pd9LhXkn i8RzzyvzEB1tna4XfEIAABCAAAQhA4L0JbAjJutHz9BkGfUZyI I4DPVS1ucWkusJoEwedTJr9yMJM8lXMnsTUcmj6duT4W2hqHV0y8oE30QRl6jRIqS0fG8rNpcyS 1RTjvXFRmslRR9FPLlxShN4iSrqM2qNqNTSMhnXLPFYh6nmlW0UUxJ1NUucNb0WDelo6bOj o/ScyV79UchYyPCRrSpj1vbbp9KZsPjsH0H/V9YqBPGth6K2ziWmpsSmkHSDsTxVlsO659NNFnGXScqKm5s2U9C0o5dOXf1rkIsuESrN zr anNtdtD/3NmGSN6zbDl2YcABCAAAQhAAAJ/gcApIRnCv CLUJRlrXX0sQfqWiEZNiawurRV6joz0dubKO5O1O9gX3zcq195bU UU45 eruMVK391FaWtPrgzVJj50zE66RQs8Kp53mcpMvyzM6ywt3 O6r/KD07s1d/5e88h3k8H5E8M7532yfRuBMCrxI4TyUkcyTPCL/V ZwB98e/JLYRSdsj5 zvnZ8rfzb4ISQtd/YhAAEIQAACEPhrBDpCUkTjRxin5WU7QaKQ/l9hE5e9jsvvkmB2RvdRIlDz Bnc0CyHNXnbXRGNey/bsRPMeUoRuhIRy8bsZFwm m5YIi8yATxa2qr2rrEvLuxNVLW9th16zG630tNSO7u215Z6/L6wLQJPJtlDHZmx7KM3G0tblXHP42JD7DdiUvpPlpLq0tbYRyZPKauGm/r/b /ertxU0jCAKi4CIo4JgTdH4VcF4CD8QggnCGb9BQXFHXWrbbe0Z60zQlzqsgt58akQfbY9Dhv32a x/PgOWZmdnyS1KGH5DOnsoTN gs/P77Pw8G/ rQegwkO18oZNJUw93fsN4WH8qt56NXfzed8U3fKGzfY4cBMmL5Y/jm qZ//tw2P4RYAisxUTouMkCAQIECBAgQOANBHaDZF38 Y/b6gms/W8ox4fpVD9S0CyvqeJ22PGhO3F8ufEU9uTPI6RgMNzaFgEiZoQWt2ami/t8C2DsU9SfLiLvxQNLFtvj93rjw2w VP78trvZLZ1pNqXcnpfzralxgZrXla95e DNfW4R7DZuAT1l/uAO6WEs46zY1gX10cNutvtXBolU/vD7s365d4hQMW4bvkBIt kux /kYT rh VsPgyovxV3WX QxZcEdfmnMVb1x165n W4ZfD5 C0flnR6fh6Mf4SgfOtyMj14ME7fl3WIS0F9eQ6OA5T7VZ6bsdz380r95T7R9/RU5vH3hsfl5zbnPm79mZjj8vsx2Pv3oTz20G8I2sU/K3lwvRIgQIAAAQIE3kJgI0i fr/L2YjX760efjeBP3p RtAcQ J3k/p77Y0vGLD9PX81EyBAgAABAn9f4O2C5Gy2ZZxV /sDoQUEQuBvnJ9/NLi wjCbjXyFUdQHAgQIECBA4JMCbxckP nlcAIECBAgQIAAAQIECLy9gCD59qcAAAIECBAgQIAAAQIECDwmIEg 5mVvAgQIECBAgAABAgQIvL2AIPn2pwAAAgQIECBAgAABAgQIPCYgSD7mZW8CBAgQIECAAAECBAi 8vYAg fanAAACBAgQIECAAAECBAg8JiBIPuZlbwIECBAgQIAAAQIECLy9gCD59qcAAAIECBAgQIAAAQIE CDwmIEg 5mVvAgQIECBAgAABAgQIvL2AIPn2pwAAAgQIECBAgAABAgQIPCYgSD7mZW8CBAgQIECAAAECBAi 8vYAg fanAAACBAgQIECAAAECBAg8JiBIPuZlbwIECBAgQIAAAQIECLy9gCD59qcAAAIECBAgQIAAAQIE CDwmIEg 5mVvAgQIECBAgAABAgQIvL2AIPn2pwAAAgQIECBAgAABAgQIPCYgSD7mZW8CBAgQIECAAAECBAi 8vYAg fanAAACBAgQIECAAAECBAg8JiBIPuZlbwIECBAgQIAAAQIECLy9gCD59qcAAAIECBAgQIAAAQIE CDwmIEg 5mVvAgQIECBAgAABAgQIvL2AIPn2pwAAAgQIECBAgAABAgQIPCawGSTv9a273Rb/1ffHSv7CvZtq0bbc1kUbox9V065bcq/H/m1uXx/xwJp7V f2xGvVPHDsY7vu9u xYuxNgAABAgQIECBAgACBhwQ2g2QuoW2q7SCWd/jC16aqu6PoutreNl21CJJnzfvS/kV7qqa711W3lWXP2rbq39kBT97 t t/cncUR4AAAQIECBAgQIDAEwUeDpIRvmK2sqrrrsozb0Xo62cLq65p5ttzmMrH58yXZz/HmcEIYLnc4jXvn/ueg85mGLw447h5bFTQ3ru6mPWs6qbbmNfMTdl8jbJTm /1RhhvU8AcZ32rpqurIXBe6f9B/7JnGqNAL/YdZ0fvUV e1a26uiki 5X6n CziWYlAQIECBAgQIAAAQLfQuDhIBm9SmEwwuOQrmLWbQyCXddFmEzha0xfbZeDXz5 Fgw3wla5/5ZkeXtrWXe5725QHHba297U9Tw4RnCqH7lFte9v3/22q6t5EA2vOuMlkLgddj5zedb/dNjOjPGqX E7A2 7dhybyJq3PvQWeEf1f96nqMgiAQIECBAgQIAAAQLfTuDDQXKWSxZBsMmzawVHhJt8TLmcdlkcH uOgky5fRWaFnXuhczYbfPYnRm52 34Vtui2jQLWAa3PjjmPWK28zyUnvV/t/2pmgivUxhejUdbzkjeuqp6IEg wydTeCVAgAABAgQIECBA4FsKfPsgeaS GRSLA7a3Xwt6RTGrxfL20vH21Zyiu778YkJwdXys FyQ7ENyqnI1GznMfhYzouEwNm9ozX79n/fZ7LCVBAgQIECAAAECBAh8G4EvCpLnt7bmmcL23v8mMr/PcuUsWpt bznNsMU0Enl7Az4zht3p6R7GJCMW7VLX43WBwzLbbD01mXM5VbQXF a28EzbK/7fCbwzLMnfU/2rEdhHML 3aU5aQtMaMYs5VDkg3/ L1kWXfsVx639L/mk9vhlQABAgQIECBAgACBVxPYDJJHM2oRXvIsW57xyu9zOEoh5B5BZnigS/F7ygRYPqwltjX9n PIx8c bcyk5YftLI4vfx95W/y2sIsZv3zc7DUHvrPtqfbFw3Cq9BvD SxiLieXm5Ld1OaxXXm/sMi/g2y7pp4cb3ErcDFDeNz/srz8wJx4LdqRkPugeVsmxCGAjmNWN909jWluW3/wkX/XLR8WtOUzNMILAQIECBAgQIAAAQIvJ7AZJD/by3I267NlOZ4AAQIECBAgQIAAAQIE/i2BpwfJ2WzhhYfK/FscWkOAAAECBAgQIECAAAECZwJPD5JnFdpOgAABAgQIECBAgAABAt9bQJD83uOn9QQIECBAgAAB AgQIEPjjAoLkHydXIQECBAgQIECAAAECBL63gCD5vcdP6wkQIECAAAECBAgQIPDHBQTJP06uQgI ECBAgQIAAAQIECHxvAUHye4 f1hMgQIAAAQIECBAgQOCPC2wEycUfvP KP Fxr7vb7Zb q5p2t9P3 tYdbd898Ekb/l79bXevq8mobrp7U3X1/Ukd6766/L12tl3/52Gqbjbs Xz40Lk2nK8fOnavnZ9b31T/6263jf/q39cKvv8cj6 a/64dYy8CBAgQIECAAAECf1BgI0gOtbdNV1VNCjSzi/4nNq5tqr8WFJuq7p6Wy55oEkVFiGzaImC3fQB7JEge9e8Z5X 4y3Fe3W5dVXQm2lN9ajzuXf0PBcmwaaqf8/Or/dVVV4PkgNs2PzpB8sNnmgMJECBAgAABAgS UGA3SEbIS9f693oW9sYZpaZOgSDNLFb1OMN0tr3sy26QzDNUETg2U x8Ru1WNV1dFbNc93jfz3jeblVXN0VkHIJMnhHNr0WuiSQ3zQbu1N UM4YRuIeORZ izKqeTtZf83l6N9s8bM98rl511i1jTVl9t51r T8vva2m6vf6fjO9Y/jUduc4xTl pvujHoDu0Z36cG7Nffb47gWIzvfREk23J7jEXTFbF8Drp4N7Z1mDHP58fMeHHM1tscJDfD4P1XV 4 zlj 6utmeqdw8NlX2X9fUP6ZZy/pHV1W/pma0v4vy/9dV9a/L/Z8KsUSAAAECBAgQIEBgX2AnSMYMWD1cfLZptqe8EI8wkS7Ox5X9/jksnW3PzYmL9u2g2O xtz1msOr7WHnXRXC4TcGl69qunNCLsJWDV657Hlzy2vnrXv1NGVrjkBRcprCSwkjMsA1NTDNuOe jNq1i/WwT39Q6RxRa3uW4cs9u/jX2XdZz173R8V3UU50cOssM /VjGDN40Q3xcf4TEyTbGOspIIXXoSFPnc3dYEeNTN8tufun78vbW9azif4vz83 r8zMatxck /W/x3DYxq2wRZBs6p/jttTJCJZ1ETS/tOcKJ0CAAAECBAgQeAeB7SAZF/lF8soX xlkdaGfLnqncHO2PZezF9SOty9mn/LO5Wtbzkjeuqp6YpDMQaisb7wdtV95JegtDp/erkLYtCkvXSm/DGb5uPR6Vv6F/p2PbxEco9KyzrH8 IIixqYPeGN7x 2zVk 3WJdl5V3imHxrayxvzCbeblNQzYdtvYZtOQtZLh996bEs63BGsi1nJP/XVdVjQbLrFjOOcRtt/l4lbqHd n3mbXGr7bLB3hMgQIAAAQIECBB4QGAzSObbJcuL6FsRLM CxNn23L7PBMl83ZzLml6H2cnxynpjBi/9hu08WGy27yzoLEJ1atdW JkaPF8qQ9F8y/juU0HyrPwL/bs0vmOfF6Fyp/ynBcnuwhcNo TXLeQgua7hd1fffnTNfXqITswwFh v8ZC9Gclxh1ho/ vappyRjJBp9nFm5A0BAgQIECBAgMDTBTaCZH8hPg9q8zBwdmvj2fbci82gljcOgWxrFmj5NNV2 E1cuhhPQakebx1sh99LLi/UyzDUpt97Lm6HPKi/PDY1d PW1ll9Y6gqOte1XZ1mztaBdlstJxAAACAASURBVHUrbCp/mvEt3aJ/6eE1i1tnyzYu 3dWfnnsVv ujW9/zjRhW7btLEimkF/ephwDUZ6TsXx8a2vfv3yjdWn 55Z3g2TMGFY/i/Ozn52cnS9DM/eCZFNF8CyC6P3n7EE 9/jN5M7vLv cgJoIECBAgAABAgReWWAVJKfbAvPFfPnnQPp1KWikB5wMDzyZXdjH792qrtndXpaXH5gSrzlQnW 2P4Zg/jOWW6puibwStPJsav WMP50RD92Z5ZkId/kWyFn7H68/Pd12OEvKulM42H1wT64n93t mvXhb/JtihnWPlhN2 5N/3CgMrC1u/3r6zksf Fb9i OPh7foh p70X/IkRm8zwes3V53/n4Luuf9T8ephTnWpSbb2/Nv5vMdVVVulV7OkOKNn7BYvn7yFvMPi4qjoCY/zxIPAjnnt7n/WLGcuNPhxS3pkZIrYuH7dzKW1tTf/7rIkzmOm7VjxQ0F834gp4rkgABAgQIECBA4F0EVkHySsdXM1aLg862L3b39psJXB7fzZnYb9ZZz SVAgAABAgQIECBAYCXwcJCM2xrzbN80AzSVe7Z92tPSdxS4Mr7z39jOZ4K/Y5 1mQABAgQIECBAgACBucDDQXJ uHcECBAgQIAAAQIECBAg8G4CguS7jbj EiBAgAABAgQIECBA4JMCqyB5S2vi//zHwDnwWufAJ/ 1cDgBAgQIECBAgACBQSDFxlJDkBSeXis8Gc9pPMtPumUCBAgQIECAAAECHxcQJM28mn1 m3Pg4/9QOJIAAQIECBAgQIBAKSBIvk2IMDM3zcy9q0X50bdMgAABAgQIECBA4OMCm0Fy/ucbhj/3Uf87F9 zP0GR/ h8vC7aGP2omo1236c/YbK5/QnhsqmLOqId1UY79ur5A 27Eqp2/fba/cH1MZ5NO/cpz8GqvnXtB8u 0s H92n78fxMm5b9uze3rr7PDR5u16nRx/ hcCQBAgQIECBAgACBUiCuXGf/K38j2TY7Qez0gvXzF8QRLu4H9ay2x8X9IkieXYh/Vf i3LoIsO39wSA59Pur2hcuK78D6zPHT22P0LwYtxRgi/AYIetW/VthMtr40eAXx86Cc9uPx0fLu 4/ 6h7Q4AAAQIECBAgQODDAg8HyQg3t1sf2qo8G1iEvggosb2JEFpszxfO fh80ZxnZsaZwQiE bjiNe fL5pzENoMWxdn9DaPjUDV3rp66Efu6yOzT7nc3WMulp/LyX0eXy8cn12j/RHCoj9pDK74XvCbzbgW4x9tzmbjOBbbxz4MwTXGcTa2w2zfcr8c3PL5NZ4v3a0b xph80r9J365vKgjQmzqx7IPQzt3x3gvmMdxi C87Gu83/PN/d/7fMW5m92Xn7kP/yvhQAIECBAgQIAAAQILgYeDZFzkpov1uLAebkeMC /ywj4udtPtiMXtirEuzzDG8bPwEDN2xQxeupAu9t 80C6D3uLYvH/Usyw3b4vXve1xET8LCBE8Llz8l2UnkyEIrywulv/R9kXdM99of4T7nfEo210u79afQ2kOS0Mwy2ZxXITXvfOjrCPalc LWL9XZ5fPkZ0gFn3O/Tur/9L4DmF6HLv21rWFX7R1aVr2a3c59yPbbbzGZyX3JZWz8D37fI1WRdlxjP8RIECAAAECBAgQeJbA 6uryyq2tcaE CyqLi PVhfAQEPIxZ8fHxXOUUQaM5YV53r4bPI5CyXCBvXlsMaOTZvOKWdGj9izbV76PW1sjWKV1D5T/0fbF7GNZ/9Zy9tvaltft1r8RqpdBLo91KmtxfuTy8 xZDqCxfrPOGK ijGh7HBOv ZbX6HMuJ8rYrf qf1Hf2N4imMW6qH9Wz2L75nFn5V4IylHvLGguPl 5beP5Otb5rH82lEOAAAECBAgQIPDuAt8 SG5erB8FxeJify 0XAliR/VubStn3q6W/9H2laFqqy2xLsLIGDQKk3L/zfovBJ3DIFfWNYS6HABT3bFuIwiXs6w5tEY/03LMPBfh9qz S/5j NoP5R8Kkjv9G90v F4Jksvg3Y/1u/9zp/8ECBAgQIAAAQLPEviyIDneEjgEhzK4lAElPYgmfnO5uD21vFhO 9 mGadPBaEiyJTtGC/kh9/cLdtTbs/LEQ5j1nIZyNItj UTOBfhIMLPlfI/2r5l XFLZoSncvbszDf6uFd/eWyyWNx6GceVdZWhJtvl1zJg53Wp/cXtv6uH7dz7W42TYQS Rd/O6l/65HpnrxeCZBrnxe2uZRl758eq/sX4nPnG9qPPV25DKmd2e/ez/tlQDgECBAgQIECAwLsLbAbJuNBd3taZn6wZF l5WwoLGw9mSRewcbGff8dY/F4uXeQOF86pnNiWH5BShMkcMMd9igv2KD 3IV6Xt/nlC/hyn1jOge9se7RxZpAv3IsQGvvkcnK5 QI 1sdvKsf6N2b/jsrP5Y7HbwTWo OjHeXDWuL2z6YMthESIyjl23YX43Ol/rL8CHLZ4Mr5kZ1SOxchMG8r 5dCU2kfwbwY92hvPgeu1l WHz5lHVv9nwXjaMswszibTS3beHB RB jnaX/cnz2fLNZ7L/7 crtGD6beWze/R87/SdAgAABAgQIEHiewGaQzBfzH31NQbIIfh8tx3H7t1W jE2EneK21O/Srwiiq3CZA9wXv17 fK1mVZ/3D4eSCBAgQIAAAQIE3lvg6UFyNlu48Vu37xIUtPPPhdjLweiLA9rlMb8wG3m5rAf7dOXzNZttLW Zr3/ufOr0nQIAAAQIECBB4psDTg RXXUAr988FO9avav3MfzqURYAAAQIECBAg8M4CguSDM0JC1quGrHfo1zv/U6fvBAgQIECAAAECzxRYBclnFq4sAgQIECBAgAABAgQIEHg9AUHy9cZUjwgQIECAAAECBAgQIPC lAoLkl/IqnAABAgQIECBAgAABAq8nIEi 3pjqEQECBAgQIECAAAECBL5UQJD8Ul6FEyBAgAABAgQIECBA4PUEBMnXG1M9IkCAAAECBAgQIEC AwJcKCJJfyqtwAgQIECBAgAABAgQIvJ6AIPl6Y6pHBAgQIECAAAECBAgQ FIBQfJLeRVOgAABAgQIECBAgACB1xMQJF9vTPWIAAECBAgQIECAAAECXyogSH4pr8IJECBAgAAB AgQIECDwegKC5OuNqR4RIECAAAECBAgQIEDgSwUEyS/lVTgBAgQIECBAgAABAgReT0CQfL0x1SMCBAgQIECAAAECBAh8qYAg aW8CidAgAABAgQIECBAgMDrCQiSrzemekSAAAECBAgQIECAAIEvFRAkv5RX4QQIECBAgAABAgQI EHg9AUHy9cZUjwgQIECAAAECBAgQIPClAoLkl/IqnAABAgQIECBAgAABAq8nIEi 3pjqEQECBAgQIECAAAECBL5UYCdItt29rrrb7Zb q qma7 0Gc8tvKn6duf2j6/1fVbRvb51VbPRs3s99X1r 6yUB98UZed2/eu TVV1M4bch/retU1/nkyO964ezpvUv6pZAJ1t77q2vXf3pu6q6mR8Nuvvuq5tuqr6 Dm7Pn qrp4BLLr0x9 2XTP7fIbV0vnrG7X7 TmrOp8/t53xPTvedgIECBAgQIAAgb8usBkk0wViXKQPzbtHWHjwwryp6m4e257b17PyV9sjXCyC5FmLIiR NAels7 vb5 VGaP HL6jjon/pFpY5BAyhYLlLDnPxhcRmBhvC3u724LzX2/4X6g/TVZsuD1GE3fL87YPbZj8ulznfcXV zjcfvovzpwy27b0PzocH/YMb55 Df7CBmkSAAAECBAgQILArsA6SwwX 8oh8YR4XfzHTlC/SY328HwPXcJGfZ9vya96/n 2puiZmnPLMVVWPYeOz5ed25wv1zYvVizMim8dGBe29q4tZz0dnFFflhlkGivLvTVF hIYpkmefqp77TXukAqbjI9A3/QzrNEbX2x/jVTYt Q5jnNYny3VYjHbm7WO96eD /862p71OgmQu/3Zb15 DbP4ypKj6wuIySMYk59CfOPpgfPrClzOG1TRjePL5SMefnF/RlqqZvugpO3T2 bpSftfN70iIL5Hqclb67PNz6jMofdEXNaWHZQIECBAgQIAAga8RWAXJ/iJ14/K7uKifXVRHu4ptuZk5yOX35Wtc7KbwNVbTduX ny0/6uovqBcht2xEugPyeMZxz6Kp63G2NhUZF/719VsLZ W20fcipPQFdu1oE7zzMBfH3yIgDvvErF4Z1tKtqHljKr8I mFzuf3rQNUTxvohvKVgVM7exR79ePbNa7t6NZt9tr2vZeu8ulZ/7FW0cSju suy3/0YTTOS7en4lEGvjeC1uPW0PN X7Tofnz7o5S9i5p l/tyfr u985cNZ XH VTn8ycaF d3Hu isbPzuFgf4390/uZd94/Pe3glQIAAAQIECBD4VwX UpBczyDFRWWe SqXE9yDQTWOyRfqRxerR9uijM3tOzNKt9mtkMfDHeXmmdqYTZtdtPcVTzOKMdu7mBWM47NVqqn0 ifYtQssskD3S/iEkFpn2uGN5a7SnaGAfTPLG4YuHo 1517Jfed0Dr5uzqZeOj BU/s52MUZtOWO8Hp8UYssZ6yL05 rz Znfj6 PjM9w0DKorn7TOpzLify0/JitvvalyObnI9p06tM3fPf4EcMCAQIECBAgQIDAvyqwCpL5lsBlg8tZscMgMxy4e6GcQt6fC5LL fpTvzy5kt7dfv9Au6yqXy3IjBFSz35MOsz/FjNDSe/l FRSXQWAWyB5o/weDZL7deQrLt9nvLM 2j1azdo9rLy98LkguZ1lztefjk/dMr23btXFr8WJM9j8fD4zPWFG0aWrvYZCMmdpFW8Zi0kK//cqXB V5PJVx3Wf7 KkkSwQIECBAgAABAv uwDpIpgmjuPV0 g3W8mE75QVgetBH RvJoa/lxWxcSFe36XbQK7e25ls1P1J NGH/Qn0ajLIf09ppaW97fytpvlFw2n1A6zWtMFft6 LDfejw 0ifBW1eOtgdH/ D1mMYE3/71eFLoIXKV9FJS8p/sy0xN549bL8//NA8r5/qkxu7ey9jVuBZX5rZdjPYt jesvLQyBZjcR7Y9Pf1vsetxStRfGJ/zLWeb0ZUE5gIsvU5afj Pzax3U0pc/Rflnn6/j8vtbqfPnL/ocT9FdnoNp/dZvHC/45OFbfg7yeq8ECBAgQIAAAQL/vsBmkFw bGP1MJnyYSBbD3OJi88IAfn2wMWtfSno3PuL0zRrtdg e5jNh8qf35ZYZKjht3Pl9rycg0NcqOd15WveHoO6fBhJNQve/bDncsrj tA3ztSNM0N92MuzVilYDm0I xTkh9 oldtSdth88MnCNoL8DOFK /tePDSrl2Yws1medc4OeX1 3drer9ucsRytLn6oUqA5 hMguV2L8UkhL7cxXnM7p3rLMViOT wVX2LUxZ/nKH/Pmks5 nwcn1/R7mpdfi44h9Sjz9fp Tt/WNAtHrQzzpBnt9IolifHY5/z44uuWCRAgAABAgQIEPhHBXaC5Ne2djZj9rVVKT2y69bM0VWZCKrFbNfVw/72fuWt2H 7LX 6fp vPy2uPgIECBAgQIDA wn88SAZM1zrGbn3g//qHpfOqxnlByv/dsHkdDbyQYBvtHs57nmG xs1X1MJECBAgAABAgS icAfD5LfxEUzCRAgQIAAAQIECBAgQGBHQJDcgbGaAAECBAgQIECAAAECBLYFBMltF2sJECBAgAA BAgQIECBAYEdAkNyBsZoAAQIECBAgQIAAAQIEtgUEyW0XawkQIECAAAECBAgQIEBgR0CQ3IGxmg ABAgQIECBAgAABAgS2BQTJbRdrCRAgQIAAAQIECBAgQGBHQJDcgbGaAAECBAgQIECAAAECBLYFB MltF2sJECBAgAABAgQIECBAYEdAkNyBsZoAAQIECBAgQIAAAQIEtgUEyW0XawkQIECAAAECBAgQ IEBgR0CQ3IGxmgABAgQIECBAgAABAgS2BQTJbRdrCRAgQIAAAQIECBAgQGBHQJDcgbGaAAECBAg QIECAAAECBLYFBMltF2sJECBAgAABAgQIECBAYEdAkNyBsZoAAQIECBAgQIAAAQIEtgUEyW0Xaw kQIECAAAECBAgQIEBgR0CQ3IGxmgABAgQIECBAgAABAgS2BQTJbRdrCRAgQIAAAQIECBAgQGBHQ JDcgbGaAAECBAgQIECAAAECBLYFBMltF2sJECBAgAABAgQIECBAYEdAkNyBsZoAAQIECBAgQIAA AQIEtgUEyW0XawkQIECAAAECBAgQIEBgR0CQ3IGxmgABAgQIECBAgAABAgS2BQTJbRdrCRAgQIA AAQIECBAgQGBHQJDcgbGaAAECBAgQIECAAAECBLYFBMltF2sJECBAgAABAgQIECBAYEdAkNyBsZ oAAQIECBAgQIAAAQIEtgUEyW0XawkQIECAAAECBAgQIEBgR0CQ3IGxmgABAgQIECBAgAABAgS2B QTJbRdrCRAgQIAAAQIECBAgQGBHQJDcgbGaAAECBAgQIECAAAECBLYFBMltF2sJECBAgAABAgQI ECBAYEdAkNyBsZoAAQIECBAgQIAAAQIEtgUEyW0XawkQIECAAAECBAgQIEBgR0CQ3IGxmgABAgQ IECBAgAABAgS2BQTJbRdrCRAgQIAAAQIECBAgQGBHQJDcgbGaAAECBAgQIECAAAECBLYFDoLkva v/d tuP5qNI9vu/rPqbrH9f7eu tl0919VV/8edv1dT9t tRvH/91V9599u3P70 vP 99tVFF782OjfWG9aGP0o9ry/cf9u259/vx7Z0kxIIvF1x fRYe9JUCAAAECBAgQILAQOAiSXZcumDeCZITI5r/i0v /Nu07BsmhkvZXtR10Fo34W2//ZvuaH3V3FF1X2/9rumoRJM/cvrR/0Z7xi4SjnqxbmQLwz3uXz6D4EiK sMjv10es16x81rt8as1Z avt/9r4fKr3DiZAgAABAgQIECBwLHAeJJfh5YEL5v0g03ZNOaP5o1mEqsX2n1VXlYH2v3tXF7N2MSP6 SAjJJFvti3X9LGs9BqVbEfr62aiqa37Ntzf/9aXm43OozrOf48xhEcDKGdG8f25bDipbbewuzjhuHhsVPMEv lWn2dD2MfvofzmWQ4dTeb 77rN 7zM bX/HwP Ov5DI55NXAgQIECBAgAABAs8UOAySaeZoeevk7/ryLONekGl xIxm0Y0UbKYw2B83zVi1EZyK8NH8rOfhJY7/uXULblHHxuJe 1KYifA4tDFmYMcg2PUztSm8jn2IGdnpgj6OnwXDDbNy/42m9bPBecZvOQbDAXvtz XtbX K30afcr1Hr3ttinCcjT/rF2Hy9cdHkDw6z2wjQIAAAQIECBD4WoHDILlZdXHBv7m9WLkZGnZmNPvbZfPBixnHItR1OzN6tw/MzGy2r tnxY6C4CoIL475bBAKhRw099oY xxt293 FL9 xrhafiGQh /gdbfNxXn1WT/jczAANhEgQIAAAQIECBB4gsDjQXLn1sSttmyGhktBsijtv7Zrf5UzkhEyH599LEocFzfbtwiFae ci5MT7PxlUxsZuLOy1P6vf3zflFuCtrDudDEw4uWt0DnRixfd86ffGtr7D6Wn49d MfqHLTzLuXru49PaWGZAAECBAgQIECAwFcIPB4kuy49sTXfhpgalW5NXdzOeTBjtrrQX9zaGtvr 39OvHuPW1vJBM/2tpo894GULbztonQeZK7dOZp/2d/9Qmvw t6M0iKBc/W9 u 5RUMpl7LX/bPtn/aLe2/C71Cjr0QflpFumDx62U/brI37vMT5ubc3nuVcCBAgQIECAAIE/L/ChIBnN7MPP8GcqftRdMwa/4c GDL/vmx4oM/2GMP78w9HDdiJE1cXDeNLDbsbfI6baZ39 5PajSkFzip7HkBFkpnYNy8OMWgpJQ9vTrNvGg21SCPxd3H5b3nobVadgPNncY0Y1/kxK8VvHFI6z0eL4/oExuY2L35N2Z75n2z/vNxu/H8NDh67OSKahOfnzH5/2q7rm5ccnj3P5uTo 720lQIAAAQIECBAg8CyBDwfJZzXgO5ZTziZ x/a/epuNz6uPsP4RIECAAAECBAj8bQFB8sERmM0WPum3mg82we4HAsbnAMcmAgQIECBAgAABAk8SECS fBKkYAgQIECBAgAABAgQIvIuAIPkuI62fBAgQIECAAAECBAgQeJKAIPkkSMUQIECAAAECBAgQIE DgXQQEyXcZaf0kQIAAAQIECBAgQIDAkwQEySdBKoYAAQIECBAgQIAAAQLvIiBIvstI6ycBAgQIE CBAgAABAgSeJLATJNvuXlfd7XZL/1V107VPqvBPFNNUfbtz 8fX j6r/l7fuqrZ6Nm9nvq tX1WykferH3vTdWNzfvy j/S5u9xTNv05 1o T2a/bRWts2P7nb738Z/P7ovOZWf1nIFESBAgAABAgQIfCeBzSCZAlZ9H8NjhJxb9ViYbKq6m8e257Kclb/a3jZd9WC6iFCyGTQ/2ZUI6U1bBNi27SL8Lpv3VfV/svn//OHhtrT85xv9pAZGkKya/1Jp9/p/o0NTCZJPIlYMAQIECBAgQIBA13XrIBmBq2pWOBEu4 J8OeMT62PGbwxccfwwkznOBN6mkNTPFlZd09TTflU9zpZ8tvzc8BwkN8PYxRm/zWOjgvbe1cWs50Mztg8E2t36u7ZryhnjqlmE9sX2upqP6Wfan4BPyr83hU/V1c30lUI X8ZzphiL LKiL/7Mdz6jG8fVVYTz4fAIkk1xHi6/1DhoXz7/qnp fk49iDqK9kXZTT DPX0Giu3x2VjN6J/49QhdnT5H8y9kcvvKz1Ze7ns//X8ZJKe1XRfrY9YyAue9 dlVMYNZ/UznUJ7RzEG83Hcso/3d1dU061nVv8YvncZ9LBAgQIAAAQIECLy0wCpI7oaXez2GxdgnX2gmnWJb1spBLr8vXyNMpovrc VIuZuSmC bPlh91lbe3jhf4ZSMiD57MOO5tb p6fuEcwaxeh 9Fdf3bDavN/Q7a1xShKR2bguE0Y9y3e5pRbiOs5ZAWNp9p/9iu/fK7ru3KCdf8JUTu58o1TIoT6qx9MaNb38eTpw/2t3mQvN3qLu8S 8/PgfP23eJ8HKpYHp/888ZhNrks/6z9Z PTO7WbQTIbXnndC5Lp2PvP7nb70VX1736s2uE1je Pxef75zjLGcc29c/F f 7q tfV5pkHwIECBAgQIAAgRcR EtBcrroz45xcZ2zRLmctm ErzJ45jLK17x9FVqKnY62xW6b23dmXFNwKcreXdzoy96 u/VnqOLA/nbZvGIxI1aEou6z7U9VHJQf29tyRvLWVavbdtuurqYwPgvGp 2Luo9De7jNiJbmJ 07PD7at6y/LP 0/QF04peHceM12pZnIJevy93PgmS BXZ5XMxKzv2KINn 6mcwV7/D7Gc0l2V5T4AAAQIECBAg8JoCqyCZgsbyQjkufYdbW4Ph8EJ7cMpBbottFhyGHcoyy W0ubxQv1B 7HJU/1DEdlDMG/eCZAoBx0GmKGK9uBVE1nulNeFQznQNK2ezd/nQeZDMa6MTbdfGrZfjmJ4HseLo88Wt8mN2MM/YbZ0v5boY23lqOQmKffuL chVG4/Pn3tXn7Tv8Pit8Zudnw/6rvxW3fnwii8Jkl3c1mr28cOD4kACBAgQIECAwIsIrIPkEBrj4j5frC8ftlMGnPbe/xZtGXjKsBhBprqVM1Dnt7bm8j5SfozN1wXJCNUR8Oa/mlufD/u3Ji5vlex/c7mYRdsNstG3xYzu4tbW2F7e hm3tpZh7Vr71z3Kaw7LT0GrHm9tjfGL35POsmIqqA9cq76k8 /YN77UyOdHFNUOv/nMdZwHweP2HR6fzq3Cf PW1jPfQ7 M3O2fP MuJwufCZJ5trK99zOQ X1Uea/jgT6/T2q3mQABAgQIECBA4JUFNoNk/MYtLobzrXOrh4UMF 5p 9bDRuLiPsJLfuhOeWtlvhC/R5AY/kzHYvvsYTYfKr/88x/FRX8ayZiRKrfn5fwbzbPtUcjc51ZVKajl4N2fMLmcXO78NOrD9dT/aQYvH5fblV/LchYPa1k8bCdCdF2MX/l7v74VV9o/b2/57qz8CGLluZO iCh w5jLSvvl9JdXptez9s37H/7Zr6w7FV08zCeHz3KfOLfL9pXb9o6f3Zo6nJ 57L4bx 0/8 vLyOdBOe4zpP036feP08NwbrfyttPfXb26LXV6umsqtHyYTjyEp4nfU/YP5 kr/S FyfHPjFTDby33W2QLAQIECBAgQIDAiwnsBMmv7eXWLNTX1qh0Al8nEEF0HiS/ri4lEyBAgAABAgQIEPgXBP54kCyfpjr9bu9foNAGAtcFyvN4NWN/vRh7EiBAgAABAgQIEPiWAn88SH5LJY0mQIAAAQIECBAgQIAAgVFAkBwpLBAgQIAAAQIECBAgQID AFQFB8oqSfQgQIECAAAECBAgQIEBgFBAkRwoLBAgQIECAAAECBAgQIHBFQJC8omQfAgQIECBAgA ABAgQIEBgFBMmRwgIBAgQIECBAgAABAgQIXBEQJK8o2YcAAQIECBAgQIAAAQIERgFBcqSwQIAAA QIECBAgQIAAAQJXBATJK0r2IUCAAAECBAgQIECAAIFRQJAcKSwQIECAAAECBAgQIECAwBUBQfKK kn0IECBAgAABAgQIECBAYBQQJEcKCwQIECBAgAABAgQIECBwRUCQvKJkHwIECBAgQIAAAQIECBA YBQTJkcICAQIECBAgQIAAAQIECFwRECSvKNmHAAECBAgQIECAAAECBEYBQXKksECAAAECBAgQIE CAAAECVwQEyStK9iFAgAABAgQIECBAgACBnOvK4gAADjZJREFUUUCQHCksECBAgAABAgQIECBAg MAVAUHyipJ9CBAgQIAAAQIECBAgQGAUECRHCgsECBAgQIAAAQIECBAgcEVAkLyiZB8CBAgQIECA AAECBAgQGAUEyZHCAgECBAgQIECAAAECBAhcERAkryjZhwABAgQIECBAgAABAgRGAUFypLBAgAA BAgQIECBAgAABAlcEBMkrSvYhQIAAAQIECBAgQIAAgVFAkBwpLBAgQIAAAQIECBAgQIDAFQFB8o qSfQgQIECAAAECBAgQIEBgFBAkRwoLBAgQIECAAAECBAgQIHBFQJC8omQfAgQIECBAgAABAgQIE BgFBMmRwgIBAgQIECBAgAABAgQIXBEQJK8o2YcAAQIECBAgQIAAAQIERgFBcqSwQIAAAQIECBAg QIAAAQJXBATJK0r2IUCAAAECBAgQIECAAIFRQJAcKSwQIECAAAECBAgQIECAwBUBQfKKkn0IECB AgAABAgQIECBAYBQQJEcKCwQIECBAgAABAgQIECBwRUCQvKJkHwIECBAgQIAAAQIECBAYBQTJkc ICAQIECBAgQIAAAQIECFwRWAXJprp1t1vVNW1x L3ubrdbd6uaYuUHF3NZUV7 r6q7e1nfB4u fFhuQ33v2qZK7ahyh9umq3K78uufbt9pR9quqft2h2FV1131jLE5rffP7nAv hjnZH2/WH8e37DJ41oeera93PfR5aLs/Jn5k6f2o83tuntXx3lenj 5D1ufj8crcAQBAgQIECBAgMALCqyCZDcEqaq4ao8L irC1JMAIrwVxXdtXLiWF7JPqme3mNzHCBnDRXPZnrSuXBH7P9j/5sH9d9u6sSH5FQGpvUf7nhDyN r6a6sG88 EsHDaDJJDp862f6bv8ZkphugzRf2BY 9dXZ4/Z5 PP9AiVRAgQIAAAQIECPzbAttBsm66MQjFRWV9n96n/ixnxCJolkEmLkyHGccIVE0/o5kv6reCZBlcu25RftVMIXa4yI3ZnpT18uzJchb1yH0oYzp cdEfZZZBsuvSzGVuf3dvpv7FTFlTROyifeOMa25rbtPR8Xmfg9c AN27rZAV20abLnJyPw5j21O5bTeb7auiP6XByfa2GN80I9os2rIYv/RFRHl HG/PbS798hcN1/rX4/VOW0oH28fxmzxynbkNB0MzbjoOkov l d3KqHw3fj8pFnEg89XdzY s 3xpc52kNz9fIy9tECAAAECBAgQIPCuAjtB8p5m6iJ8xAVxXFCOwXIMVVOQWc4oNhFK8r2qbdvF7 bJlkBkvzPOto4sQmI4vr//ThW8RVtLF/jCrWS5fHsW4nW8ICun4xWzrRpCcz1K2XVu0L4LPInfOvNbNOj9 fUy5ph XfAtuVTez9oTvrD33eubfj2nRgfDNHil8xvH725u6ngfHOL6egmIf4PbPj7PtqacxLrMvJ6b n/Uv79nXU/Qjbxhed7cvvNIXGw/OMB8FybPzzzc7r9cHwiNJa3kg9fGsysi/Nh6/OxcPSWAAECBAgQIEDg/QT2g2TXplm3fDFfBsnZjEjMSJUXplsBYHFhvgoCKSgWwW6WgvpBWV2Yt/fht4zTzNHThu8sSLbljGT0/8EgeeH4R/qyDPIr35n/YvZpVdHJ9hQsit 3jl8GlGE8ypj2mZ0fqb6z7enbir8XJGNGvAyOM78V2OaK1fma9wq/o/P77PNzZfs4JtMY3G7D Gz1ZavM3F6vBAgQIECAAAECBDYEDoLkfO/ZhXW5qW27Nm5dzTMaWxeli4vXVdAZZjnT9XUcf3ShPdSdwtMtbqldzJ6Vbfvo8kaQnGavhtmaYs Zuqz 7XunhJsWMbdn3j7Y3lTkFuVV7Zv59UNyfp7u2/XJTl fH8sC97Vvn0XDscf mCqYxm9aVS4fbR7NFqCwLOFheBsmxzWfn91a/x7bsBOxye5wL bO41b7ZvsMOW3VuHWsdAQIECBAgQIAAgUHgQ0Eybq0rb32MUFeGv9mtezu3ts6yYrq1cprVmx0f DU0zltOtrXFRfhtnQfvZrfLW2U P7jJIpvqHoJYuuuvxVtJ40E3Mvs3608WtwNNMaQTt6jbcDnrx P0 rINsekBS0YAyIKUH8SyeXhq34pZeberf1Ifz7fEQm J3oYvGXjk/js6fVNxBuDnrX25OuV9eV74eb 8DZBNj94Gn5uwGycW50fd1Ht7LcydOtOWt4Wfbo 798Ym6zm5tLZUsEyBAgAABAgQIEFgLrIJk/t3d CdA4oJ vFWuD1Mx21aXf5phdmEalfThLj0sJbaVF MR0sbyplvv5hfr w8jiYv/fHzKTkV58zLWnb20ZtbfoX2L/pVtiN8n3lObpuAY9aRwnfv5geP329oHyZV/ecAQDEv/WJ585r638jetqZzz7RFW8jjE8fFFQp7lPDs/zrdP58VYRxGUZw TGc6vqX/hs3F8vrUzzd4ebS8g07k1zfQWW/YXi/NxbPvQnqkLc9 4fXweyw8 P6nms 3LhyXNx2fml/6symB2NJO532NbCBAgQIAAAQIE3lBgFSS/wiCC1hRivqIGZRL4AoGt20C/oJqzIs8 P2fbz8q3nQABAgQIECBAgMCjAl8WJON2vDwjk54q mjL7E/gLwnM//zIfKb5TzXp7PNztv1PtVM9BAgQIECAAAEC7ynwZUHyPTn1mgABAgQIECBAgAABAq8vIEi /hjrIQECBAgQIECAAAECBJ4qIEg lVNhBAgQIECAAAECBAgQeH0BQfL1x1gPCRAgQIAAAQIECBAg8FQBQfKpnAojQIAAAQIECBAgQID A6wsIkq8/xnpIgAABAgQIECBAgACBpwoIkk/lVBgBAgQIECBAgAABAgReX0CQfP0x1kMCBAgQIECAAAECBAg8VUCQfCqnwggQIECAAAECBAgQIP D6AoLk64 xHhIgQIAAAQIECBAgQOCpAoLkUzkVRoAAAQIECBAgQIAAgdcXECRff4z1kAABAgQIECBAgAABAk 8VECSfyqkwAgQIECBAgAABAgQIvL6AIPn6Y6yHBAgQIECAAAECBAgQeKqAIPlUToURIECAAAECB AgQIEDg9QUEydcfYz0kQIAAAQIECBAgQIDAUwUEyadyKowAAQIECBAgQIAAAQKvLyBIvv4Y6yEB AgQIECBAgAABAgSeKiBIPpVTYQQIECBAgAABAgQIEHh9AUHy9cdYDwkQIECAAAECBAgQIPBUAUH yqZwKI0CAAAECBAgQIECAwOsLCJKvP8Z6SIAAAQIECBAgQIAAgacKCJJP5VQYAQIECBAgQIAAAQ IEXl9AkHz9MdZDAgQIECBAgAABAgQIPFVAkHwqp8IIECBAgAABAgQIECDw gKC5OuPsR4SIECAAAECBAgQIEDgqQKC5FM5FUaAAAECBAgQIECAAIHXFxAkX3 M9ZAAAQIECBAgQIAAAQJPFRAkn8qpMAIECBAgQIAAAQIECLy gCD5 mOshwQIECBAgAABAgQIEHiqgCD5VE6FESBAgAABAgQIECBA4PUFBMnXH2M9JECAAAECBAgQIECA wFMFBMmnciqMAAECBAgQIECAAAECry8gSL7 GOshAQIECBAgQIAAAQIEniogSD6VU2EECBAgQIAAAQIECBB4fQFB8vXHWA8JECBAgAABAgQIECD wVAFB8qmcCiNAgAABAgQIECBAgMDrCwiSrz/GekiAAAECBAgQIECAAIGnCqyCZNv86G63/63/q359sOLfXR3lPXT8f11TT 2o6p9ddfH4ex1t/9E17Qeb6zACBAgQIECAAAECBAgQOBRYBcnYO8Jk1fw3Hdj uhzkpoPKpd9dfTEI5vrrov72/lj9TSVIlvqWCRAgQIAAAQIECBAg8EyBkyC5DoB5xjLNEuaZy pndy9b1cZxeVbzR1ff1 WUuy X yD7u9uaVMz110OF/Qzk/2bBNwXJ 6 pDdG rcKWFXtPgAABAgQIECBAgAABAqcCu0FyvL11YyYxhbkinN3rcgYzQmMZ3P7rYvujt7amMoegWtW/urYIglF/DpKph/efiyDZ30o7HpOC7SLsntLYgQABAgQIECBAgAABAgS2BHaDZH9r6/ZM4mGQW4S6VOknb41t7z9nQfSw/q7rtm5tXR2zpWEdAQIECBAgQIAAAQIECJwKnATJ7eNXoawMj VyPvyTQbLr4oE904ziYf2CZFb3SoAAAQIECBAgQIAAgS8RuBwkm J3kMdB7rO3tkZo/NE198XDfurfI0DUnx8GlB7Ec1v RnJ a2v/sJ4piI4FWSBAgAABAgQIECBAgACBhwVWQTJC2vj7yPwwnfTaB7Fye/qdYtx2mn/LmJ 0uvWwndhn4/eW6xb3QbIu/vzHrQixaf y/NjW9G2IcDnY940mtu/ w3m sarSFAgAABAgQIECBAgACB6wKrIHn9UHsSIECAAAECBAgQIECAwDsKCJLvOOr6TIAAAQIECBAgQ IAAgU8ICJKfwHMoAQIECBAgQIAAAQIE3lFAkHzHUddnAgQIECBAgAABAgQIfEJAkPwEnkMJECBA gAABAgQIECDwjgKC5DuOuj4TIECAAAECBAgQIEDgEwKC5CfwHEqAAAECBAgQIECAAIF3FBAk33H U9ZkAAQIECBAgQIAAAQKfEBAkP4HnUAIECBAgQIAAAQIECLyjgCD5jqOuzwQIECBAgAABAgQIEP iEgCD5CTyHEiBAgAABAgQIECBA4B0FBMl3HHV9JkCAAAECBAgQIECAwCcEBMlP4DmUAAECBAgQI ECAAAEC7yggSL7jqOszAQIECBAgQIAAAQIEPiEgSH4Cz6EECBAgQIAAAQIECBB4R4H/Azr3vzV3H1cLAAAAAElFTkSuQmCC
Thank you in advance for your support.

p45cal
01-30-2021, 09:12 AM
OK, so now I have the file what are you wanting to copy from with InputFile.Selection(Owner).Copy?
Again, could you tell me which cell should be selected before you run the macro?

Shiftyshell
01-30-2021, 09:15 AM
Selected must be cell D. I want copy more values from more cells, but Active.Offset will be selected from cell "D".

p45cal
01-30-2021, 09:25 AM
And:
OK, so now I have the file what are you wanting to copy from with InputFile.Selection(Owner).Copy?Be specific - 'more values from more cells' doesn't let me write any code at all.

Shiftyshell
01-30-2021, 09:37 AM
I apologize..I want copy values from cells:
C; D; E; F and L
More precisely:
From cell C in ActiveWorkbook to AF1 in InputFile
From cell D in ActiveWorkbook to S3 in InputFile
From cell E in ActiveWorkbook to AB5 in InputFile
From cell F in ActiveWorkbook to B7 in InputFile
From cell L in ActiveWorkbook to AA1 in InputFile

p45cal
01-30-2021, 09:56 AM
I apologize..I want copy values from cells:
C; D; E; F and L
More precisely:
From cell C in ActiveWorkbook to AF1 in InputFile
From cell D in ActiveWorkbook to S3 in InputFile
From cell E in ActiveWorkbook to AB5 in InputFile
From cell F in ActiveWorkbook to B7 in InputFile
From cell L in ActiveWorkbook to AA1 in InputFileOutput File?

Shiftyshell
01-30-2021, 10:01 AM
Yes..sorry

p45cal
01-30-2021, 10:12 AM
Try:
'## Open both workbooks first:
Set InputFile = ActiveWorkbook

Set OutputFile = Workbooks.Open(finalPath)
Set OutputSht = OutputFile.ActiveSheet 'hopefully only one sheet in that file.
InputFile.Activate
With ActiveCell.EntireRow
'From cell C in ActiveWorkbook to AF1 in OutputFile:
OutputSht.Range("AF1").Value = .Range("C1").Value
'From cell D in ActiveWorkbook to S3 in OutputFile:
OutputSht.Range("S3").Value = .Range("D1").Value
'From cell E in ActiveWorkbook to AB5 in OutputFile;
OutputSht.Range("AB5").Value = .Range("E1").Value
'From cell F in ActiveWorkbook to B7 in OutputFile:
OutputSht.Range("B7").Value = .Range("F1").Value
'From cell L in ActiveWorkbook to AA1 in OutputFile;
OutputSht.Range("AA1").Value = .Range("L1").Value
End With
'Close InputFile & OutputFile: