--------------Boundary-00=_OPPBJ12QF459JQ8KNVBQ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable
Hi everybody, Finally,the Relisys 9630 works ! But, I have some minor problems. First, I don't have any informations about the capabilities of that=20 scanner, exept it is a 30 bits scanner. I tried 600, 300 and 400 dpi. Only 300 and 400 seems to work. Another problem : It works well (see the result in 100dpi :=20 http://dess-gla.infop6.jussieu.fr/~pierre/test.png ) but I cannot scan th= e=20 entire area (I cannot scan a a4 sheet). I wrote these lines into teco1.c to make it work : ------------------------------------------------------------------- {6, "TECO VM6540", TECO_VM6540, "Relisys", "RELI 9630", {1, 400, 1}, /* resolution */ 400, 400, /* max x and Y resolution */ 1, /* color 1 pass */ 1024, /* number of bytes per gamma color */ 99 /* number of bytes in a window */ } ------------------------------------------------------------------- and these two lines into teco1.conf : ------------------------------------------------------------------- # Relisys 9640 scsi "RELISYS" "VM6540" Scanner * * * 0 ------------------------------------------------------------------- The scanimage --help gives these values : ------------------------------------------------------------------- Options specific to device `teco1:/dev/scanner': Scan mode: --mode Black & White|Grayscale|Color [Black & White] Selects the scan mode (e.g., lineart,monochrome, or color). --resolution 1..400dpi (in steps of 1) [100] Sets the resolution of the scanned image. Geometry: -l 0..215.9mm [0] Top-left x position of scan area. -t 0..355.6mm [0] Top-left y position of scan area. -x 0..215.9mm [215.9] Width of scan-area. -y 0..355.6mm [355.6] Height of scan-area. Enhancement: --custom-gamma[=3D(yes|no)] [inactive] Determines whether a builtin or a custom gamma-table should be=20 used. --red-gamma-table 0..255,... Gamma-correction table for the red band. --green-gamma-table 0..255,... Gamma-correction table for the green band. --blue-gamma-table 0..255,... Gamma-correction table for the blue band. --gamma-table 0..255,... Gamma-correction table. In color mode this option equally=20 affects the red, green, and blue channels simultaneously (i.e., it is an=20 intensity gamma table). --dither Line art|2x2|3x3|4x4 bayer|4x4 smooth|8x8 bayer|8x8=20 smooth|8x8 horizontal|8x8 vertical [Line art] Dither --threshold 0..255 [128] Select minimum-brightness to get a white point --preview[=3D(yes|no)] [no] Request a preview-quality scan. ------------------------------------------------------------------- And with the following command line, I have the result given in the URL=20 above (which seems correct :) The log is joined as attachment as gzipped file. export SANE_DEBUG_TECO1=3D128 ; scanimage -l 0 -t 0 -x 215.9 -y 355.6=20 --resolution 100 --mode Color > test.pnm 2>log.teco1.relisys9630.log Another problem, the scan is very long, including at low resolutions, in=20 preview mode. For the previous command, the command time gives the follow= ing=20 result : real 1m52.630s user 0m0.160s sys 0m0.060s If you have any idea to solve at least one of these problems ... Regards. Pierre SOUCHAY --------------Boundary-00=_OPPBJ12QF459JQ8KNVBQ Content-Type: application/x-gzip; name="log.teco1.relisys9630.log.gz" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="log.teco1.relisys9630.log.gz" H4sICCigAD4AA2xvZy50ZWNvMS5yZWxpc3lzOTYzMC5sb2cA7d1vbxtXdsfx530VgzzaLRLvvef+ N5AHbbItCrRYYHexQBssDFqiHaGK5EpKsnn3HYqyREkUz5Ae6vJyvo7syCY5Imf4OXPm3pkff7ie XczP3p3O3//88e/dX+Y3N2cXH7vbv3bn81/m593lh+5mfnJpu5vLzkp+808/3P71793ike/OLs5u 7v/lrz+eXXf91+KWb5YP+mV+dX12edHZN+abcn/H3333+06Mke79b92/Xc0u/rf7n9nHy/ubZzc3 s5Mf312fzC4u5ldvuz+czn/5w/VHc3+Hxf9uf/Tbbn5xM79ae8M/Vp7Z0yVefppfLF7oC0s+7Zd6 9uG3h/s//ilnF//389nVb/d/N8a87Uzs/9/1r6n/cub2e9NZ0wXpfOj8SedLF1wXbv8U0/W/3vS/ TP/7z3/8z//4y3//pXtYoI1vuxA7f9q52LnQOb9Ypmz86n/97b9i8LffLX89LNDJ287ZTuaLP5df 998vnnP/PP3t83Sd/7BYWv/T+1/2jbWL32/e/PWP3/2p+9vDAn1++/Tp9b9uf/79nfqVe3YyX7wj vvr8Er/qvnr6JPt/WvyI/n/Ln3F781faFrn7prv++dOny6ub+enjB3yc37y720zvsrywAbtPs4/z zvwjy7NNmW/XiZXO2jVr5vkLX2zKNyvP//GmXD5qdZ3fbq3Fy978tM/ns1/mj+9ycn55PV/7vv98 y6Y3/sYblxqWf9uXtbVLxxveJuDtfo/59Afd3rB4LssteP30x625/dlyF8zWPm55w/KRF7Of5t+u hXh715PLi5ury/P+ITf9TvtuaV93y7928nU3O7n9zq790c+e0ubFmfvFmVEetlg/y/v0q+n65Ors 083l1bNHD3vMs5cyaOF2nwuXfS7c7XPhfp8LD/tceNznwtOOC9/MI30Rj7yX55S/6DmVvZLdb0HY a0Wwey0Jdq81we61KNi9VgW717Jg91MXwm572/hFdPe6GXZd+ND1NNDu6+0wdl340C28ywvea5HY deGbX7D7ohe815q768J37NtptGm0D6OWH2SjvdeOmdaX1pfWt27rexCH6Vvtk7+sHd/30f2Tl3J9 M7t6Nmtw/5M/za5mP837m14e7Xx0l9VndTv8+uvs7OalGYPbO/x0edo/ifn5/GT93MXj258t/7p/ Br+eXZxe/vr00ct/vX4yiG3WfIX3D99H//CneRjEfvPmh/73af/fw9Tq7SD22gUuvk47nz7Pd4Tu 9MPim7y6wDdv/n35v4cFLuYjFg8Jncl3j80vLd88e4b3vx4WuJiPWPuo/MKf2gKjf7vp4Wv/3LjA /HyjfPigfL9xgWW5UZZ3Xt5zwzumfz993fUEbn6+/vYB6+Jt/eHs/Hx++u50djN7dz6/+Hjz49M3 2Pp7dVfzm5+vLta+7U6fvlS7+lfXzcLtPFlc8wrjurfd7d3ub7A5xq4413XfdJ1zpXQhRvU13Vz2 z3h22n3bDXj961fX3Wq9OH33cfbTT7O1jFdufrxqZHb34u/WgjxaL/2vf36+kZ//wI1PjApBhRi5 Qizv1+/W1r/Zlzesf+ijve7aFuxLdrq391iAXvvEFqjfnf00+/hsrrTNkreodp8rno0lv1bFe+W1 5T90/Wt7cW396XXWlhiX9PtvArP69vu83O7zkrv3v93Mr7vfvf90/u3i2f3+5cf++Y//8v27ftV8 9/2/PtmZ5Kcr8GHt3a6N392vsZeX3j+t87sncz7/cNM/PxuyF+erYYndTLbD8uGk+5DH3fyLh+xl 698+l31t/Lt1t7rxn9V7beNHl8OAl34wlbLfs/Vfk6yUi6bKb1hb37/K2uqb7/0UysWC90dlue4e Ufl+WypiY0vHUVCBSiUqIadYr6WAClTaoRJcpAGDClR0KrYkgQpUoKJR8TkMGc86nDGd8Tf+dMd0 fLCZA1XqJHVSp+J8pqWAClR0Ksbkei0FVKDSDBUXY6EBgwpUdCpOCjMFUIGKSkVKHjKiARWoTJ5K DKbeYT3Dn1WHP8VZw4EqdbJ+nTx8Ktabei1F83Vy5YKE2zi1r5fr991i/X67mK/2K0+llasXmt8q bZO0Jdl69ZiNX3fjZ2OZjqJ1qd+6HPwhno3OMnAIFajoVKRYBg6hAhWViilBaMCgAhWdSrTCMCtU oKJTkeQY05nmmI4v/VrjQJU6SZ3UqaToaCmgAhWdihdfb+NDBSrtUDHZ04BBBSoqlZy8Z6YAKlDR qXgTmCmAClR0KiaG1sJIZgx/mlGGP1OS5lIzT6mTW9TJkdfWdOtkCiHSUhwzFVqKsaiIHbCmoAKV yVOJOaXWGjCoQKUGleASMwVQgYpOxZbETAFUoKJSCTlUzBht/uxP5SJ7m1eX/eJF9puX4nMobu2P 5FJ9hrZfhL1487EPZB/IPlCl4nymXYQKVHQqxhRmgaACFZWKj3HIS4cKVCZPxTnT0iWoJ7PulA/5 HulA1ZVimNegTlIndSpZCA+GClQGUPG5YlIpVKDSDhXrCauEClR0KpINYZVQgcoAKj4SVgkVqAyg YqViWCXn6VQd/rQpV4xfpE5SJ5upkzZaR0sBFajoVCQRVgkVqOhUTHGEVUIFKgOohEJYJVSgMoCK hIphlYzp1BzTcaVY4hepk9TJAVSSD7QUUIGKTqXvvzn5ACqvQkWJJAjOrqRB7hpsIKZ/U+tLeaaj brBB89u28TJoIkGklEGo6FRykopBpAxCVB2EyP3mZ16DOkmd1KmITbQUUIGKSiXllDixBCpQ0akE l2nAoAIVnYotmVkgqEBFpRJzIKwSKlAZQCXYimGVDH9WHf6MNhG/SJ2kTg6gYsyQKgEVqEydSojJ MFMAFajoVJwjrBIqUNGp+FIIq4QKVAZQiYGwSqhAZQAVZyuGVTL8WXX405VE/CJ1kjo5gEo2QksB FajoVHwUZgqgAhWdihXCKqFyAFQO/lhFUq4YVtn8germi+xdTnElXXzHS/Vd8HklfIJL9Q8B9sHv AyX2bz/2gewDoaJSkeRpF6ECFZWKLc5zYglUoKJTCSVwYglUoKJTkUAQKVSgolMxxRJEChWoDKAS UsWwyuaHtjdu/IOf1zDiKsYvUiepk+3USRMjLQVUoKJRkZKEsEqoQGUAlcXJD1CBClRUKsYTVgkV qOhUcjKEVUIFKgOouFgxrJLhz5rDn5KNVIxfpE5SJ5upkymHQksBFajoVIIlrBIqUBlAxWbCKqEC FZ1KzJ6wSqhAZQCVYCqGVTY/pqNcZy1iyto7b3O1tuTiVtK/Wrlau/ltuxH2wY/XRRuJ1mQfyD5Q pxJKsbSLUIGKTiUG4cQSqEBFp+IsQaRQgYpOxZdUMYiUA9WqB6o+OqI1qZPUyQFUeiu0FFCBik7F CmGVUIGKTsWlTFglVKAygIr3hFVCBSoDqFhDWCVUoKJTkRQrhlUy/Fl1+FO8EL9InaRODqAiIdJS QAUqKhVbbGSmACpQ0amERFglVKAygIo4wiqhAhWdismFsEqoQGUAlRAqhlUy/Fl1+NOIJX6ROkmd HEDF+ExLAZVXoaJEEoS4+vl6uwYbLE49i/pSnungY+inWwZtSauZGpRByiBUXqLiIkGkUIHKACpG KgaRMghRcxDC5liI1qROUicHUAliaCmgAhWdis2GE0ugAhWVSsre0oBBBSo6lWAIq4QKVAZQsZGw SqhARacSs1QMq2T4s+rwZ/S5YvwidZI62U6ddNbRUkAFKiqVUBJhlVCBygAq0RFWCRWoDKAihbBK qEBFp+JLIKwSKlAZQCXaimGVDH9WHf70kirGL1InqZPt1ElrAi0FVKCiUnEpElYJlQOgcvANmPNS Mayy+Y2/+SJ7W6yxed2dt7lU34YsYe2P5FJ99oEvwpYha4p9IPvAyVORYhPtIlSgolMJKTFeBxWo 6FQWCVtQgQpUNCo2l8yJJVCBik4lhIpBpMyWVx2sXXy2EAeq1EnqpE7F+EJLARWoqFRMMkNeOlSg MnkqLhkaMKhARadiHGGVUIGKSqXvvkrFsErGdGqO6ZjiAvGL1Enq5AAqNltaCqhARaWSs7ecfAAV qOhUghEaMKhARadio3DywUQPVFMW4hepk9TJAVRicLQUUIGKTsVZx8kHUKlP5eAbsFiSJyhr5+5b uchegl+5BmHHS/VNkbQyRN3KpfrNb9vGYWdTMVeVjV9340fnmdSiAarfAB38sUL0kVBdqEBlABUr FUN1oQKVZqiElIkghgpUBlDxPnCi8kQPVEPfVTCpRZ2kTqpUfHEVQ3WhApV2qIQSOVEZKlDRqUhI NGBQgYpKxRWbmCmAClR0KiFlziqa6JiOE5c5UKVOUid1KiZWDF6FClSaoSJJiKmFClQGUHG50IBB BSo6FeOHHKZBBSpTp2JTzwUqUIGKSsUlQ6TJRIc/rXGWA1XqJHVSpWJyJKYWKgdA5eD3KiaIpaXY U06DCaWsXAS6a06DJLvy4azkNNAuDoHtQsVQXTZ+3Y1vs3CsQANUvwE6/GMFY0lUhgpUNCqlxFQx UBkpSGlGinOkTyMFKaqU3Fupd0oRR6kVj1JLjsFxjgxVkiqpSvG5YpgyUpDSjBTrCahFClJUKSkb T/eFFKSoUnwMzBAgBSmqFCuBGQKkIEWTElOOBJlMc9wzek/gJlWSKqlLkTRgRSEFKVOXEopLzBAg BSmqlFAS3RdSkKJKkZCYIUAKUjQpvtjMDAFSkKJK6XcpTV1uPGfcc3Xdfcm4pxdH0iZV8gCq5MFL MbHU6yeanx3aGKdQivd27X23yGQo0UYv+kKebWwiGaa7/3O5VIzPZdtX3fZJhuzL6H3ofSZ+hOhC IDkZKUjRpYgQnIwUpKhSJOeKuclIQUozUoInZBopSNGliLGM5kxzNMfmWDFblSpJlWylSvbPhyBa pCBFl+KCcF4yUpCiSjFW6L6QghRNionJMUOAFKSoUpxzzBAgBSmKlFxKqZhFyrhnxXHPXGIgXZMq SZXUpfjs6SeQghRVivWBGQKkIEWTkrMJdF9IQYoqxcfADAFSkKJKsRKZIUAKUjQpKeWKWaTNj3tu vpxecl4J5dvtmvxcol25yoNr8l9py25Ufegj2sl7clPZ/7H/06VISnSKSEGKJiUWl5j7QQpSVCmh ZLovpCBFlSIhc7XpNI9RQ7GZ2QyqJFVSlZI8CcNIQYouxZuKWaRIQUozUsygvhMpSJm4FJ8ceZRI QYouxRXyKJGCFF2KCRXzKBn3rDnu6ZKtmLBIlaRKtlIlXfCWfgIpSFGliCGPEilIUaVIjuRRIgUp upQg5FEiBSm6FJsr5lEymlNzNMdmT8IiVZIqqUuJydFPIAUpqhTnPGccIOVVpGwOH4jOrRTtHRMM nAlp7Q886ASD5rds0zXQlELSKDUQKbqUGComjTL6UHP0wThLdiZVkiqpS7E+0E8gBSmKlFT6joJz SZCCFFWKj5HuCylIUaVYicz9IAUpmpTc/8fcD1KQokrxvmIeJeOeFcc9U7aGhEWqJFVSlZKKy/QT SEGKKiWUzAwBUpCiSpHQXB6lRcoWUkZeW5OVEoslj/KopbBPGUlKSORRIgUpuhTxFfMoGfesOe7Z 990kLFIlqZK6lOQM/QRSkKJKccUyQ4AUpKhSTCCPEikHIOXQj1N8shXzKJs/Rt14OX0qKa8MAOx2 TX6KwTivL+TZxuaa/Onu/3zwQqfI/g8pqhQxQqeIFKRoUlyOrrVzSZCClApSgjjOJUEKUlQpNldM Gm1+9KHpkSfJvq3szDlVcosqOf7ammyVlJg8/cTRSqGfGE+Kc55zSZCCFE2KLSU01X0hBSl1pMRA HiVSkKJLcbatPEqO6DmiryLFlFQxj3KHcc/xt/1kxz1NdCQsHm+VpJ8Yr0r6mJrqJ5CClDpSrCRm CJCCFEVKLIvcXqQgBSmaFO/Jo0QKUnQp1pBHiRSkqFJyihXzKDnfs+K4Z8xeSFikSh5AlTx4KRKG vHKq5C7X5DuRlWey2zX5sRS/8vxauSa/+S3btmqTK+amsu1rbvtUxDCTRe9Tv/c59CPElELFzFyk IKUZKd42lzB8ipQtpIy8tqYrxSRL93XMUtinjCMlJmcZo0UKUlQprljOI0IKUlQpJlTMImXcs+a4 Z0iWdE2qJFVSlxK80E8gBSmqFDGOGQKkIEWT4nN0rXVfzBAwQ1BBShDPDMExS2GfMpIUmytmkTKa U3M0x/WbnmNUqiRVUpUSU6CfQApSVCnOhabOODhFyhZSxl9bk5UipQS6r6OVwj5lPCkxRM44mOYx qjg7YEVRJamSk6+S1pNDi5QDkHLo+xSbTaKf2E8eQ1xcc7D2vtvkMSzemqIv5NnGJo9hup2ija5i Zi7bvuq29zFxlEDvU7/3OfSjBCuFvGSkIEWVYkogLxkpSNGl9EfUTXVfBSlbSBl/bU1XiiTykqd5 jBpKceQlH2+VpJ8Yq0qGkmLFvOQdpHAOGeeQ1ZHiHTm0xyuFfcp4UkwxTXVfJ0jZQsr4a2uyUnIK hhmCo5XCPmU8Kd5aZgiQghRVikm23hE94541xz1TcsIxKlWSKqlKCbFisipSkNKMFBFyaJGCFFVK zNnRfSEFKaqU4F1TMwRIQUodKWIcn3w7zdGckKPnGJUqSZVUpcRSMVkVKUhpZp/iQsUc2ub7ic1R CsbaldPOd8tjCDH7lfE28hjoFAeotrliZi7bvuq2NzZwlEDvU7/3OfSjBJ99W3nJSEFKHSnBkJeM FKToUmysmJeMFKS0IsVlIV0aKUjRpficOI8IKUhRpVhPDu1Exz0lG9I1qZJUSV1KdJl+AilIUaVI ycwQIAUpmhRbQqb7QgpSVCnRFmYIkIIUVYqktrJIkYKUKlJM8RWzSHcb98yMe5oxxj1NNG2la1Il qZJ1qqR3hn4CKUhRpZhimSFAClIUKb6kYOm+kIIUVYq3trUZghlStpAy8tqarhST2soi5TOY2v0M ps3hAy7ElQu/dkwwMJLL2h940AkGzW/ZpmtgTq5iyixn8lYc0fbZFXJTj3f/xzHVeFVSxDXVKSIF KVWkpJwdcz9IQYoqJXhP94UUpKhSxFRMmeUYteYxasyxYm4qVZIq2UqVjLFUzCJFClKakeICeZRI QYouxdi28ijno1/vcMxSxl9bk5USYiKP8nilsE8ZT4pz5FEiBSmqFF9KxTxKxj1rjnv6GComLFIl qZLNVEmfE/0EUpCiSrGePEqkIEWV4rJpK4/yBClbSBl/bU1Xio/kUR6vFPYp40mxQh4lUpCiSpGU K+ZRMu5Zc9xTfKiYsEiVnFSV3Hg5vU/GrsRD7HZNvnfJrZxrdsTX5B/Wlm17/yfZ0ClSA5GiSbHF kzSKFKToUqIhaRQpSNGlSKyYNMroQ83RB1OkuexMqiRV8vWrpElB6CeQghRVSt9RNHUuCVKQUkeK SUL3hRSkKFJcSa5iHuVux6gnHKOOcYzqSv8fY95USaqkKkXE0U8gBSmalJyzb+qMgzlStst5QcpI UoL3rXVfp0jZYp8y8tqarhQx5FEetRT2KeNISTlWzKPkjIOaozkpSFsJi1RJqmSdKulCbK2fmCNl Cykjr63pSunXKGccHLMU9injSIkxRbovpCBFleJcauqMg/HHvCd7jBpKIWGRKvk6VXLz5fTGhxzX 3XeLa/JdsnnlKg+uyWf/N6AGZkl0itRApKhSfM5NnUuCFKTUkWJ9pq9GClI0KT6b0tQnobxn9GGs 0QfvY2E2gypJlVSlSKmYm7qblJGvCjtyKSOvrclK6Z8eKbNHLYV9ykhSohi6L6QgRZUi2bQ2Q8CV QVwZ9PpSpHjLDMExS2GfMpKU2K/SlsY9+22fGPc0Y4x7ikQSFqmSVEldiilCP4EUpGhSbArS2gwB UpBSQYq3rqnu63Rx0gFSBkoZf21NV4pJrqkZArLDyA6rIqWHQh7l8Uqh+xpPiisV8yhJRKo57mlM aCth8ZScl+06b3JeRqmSUnL29BNHK6WhfuLA9ylSgg/0Ezv3E5svp3dlNeh1x2vyTZSVq0ZbuSa/ +S3btmqXyE2d6rYXE5o6SqD3OdLe5+CPEoxrLmGY42lyU19fSo4lch7RMUthnzKSFDdkRSEFKZOX Ymxq6jwipCClipQUU2rqPCKkIKWOFOcqZpEy7llz3DOWQromVZIqqUvJkuknkIIUVYrPubUZAqQg pYIU6wvdF1KQokkJ2VTMIuUYteYxavCJdE2qJFVSl+KMoZ9AClI0Kb5EwxkHSEGKKiWKpftCClJU KZItMwRIQYomxRVvmSFAClJUKdFUzCJl3LPmuKeTSLomVfIAquTBSzFFOINxP3kMkhYfLLzuvlvk MYg3aSWFiTwG9n+6ailSMTOXbV9126fgmMmi96nf+xz6EaKE3FZeMlKQUkeKePKSkYIUVYotpmJe 8m5S+LSKbaTwaRUjSQmxrXRp9insU+pI6Y9UGM2Z5miOyblisipVkirZSpU0yZJDixSk6FJcipyX jBSkqFKMi3RfSEGKIsWWWCIzBEhBiirFhdTaDAFSkFJBirGJ5JJJjnvaHFPmGJUqSZVUpQRDDi1S kKJLsTEzQ4AUpGhSUpZC94UUpKhSfC7MECAFKaoU64eMZRyUFD79lE8/fX0pMduKWaTNj3tuvpze pLLykU27XZNvU1hN9uOa/FfashtVH/qIdvSJ3NSj3v/RKY60/3PGtNYpIgUpry8llGibmvuZI2UL KeOvrelKiWKbOpfklM57rM47SBZmM462StJPjFclra2YmYsUpLQixadEwjBSkKJL8a5iFilSkNKM FFPIo0QKUlQpLgXyKJGCFF2KtxXzKDnjoOa4p3v0yRFtVEnOuOOMu9evklKMp584Zin0EyNJCTEw Q4AUpKhSRMijRApSVCk254p5lByj1jxGtcGTsEiVpErqUlwasKKQgpTJSzEuNXXGwQlStpAy/tqa rBQTS6L7Olop7FPGk+JCqjdDsMMx6vjXDu3tmnzrxa9MUu94Tb4pcaWWHfE1+Ye1ZZsefTDGkp3J /o/9nyalZJ/rNYoM0VYskiWYzLkR1EhqpAalf35NDTsBBSg1oORS2spMHT+L4ZihjL+2JgslhuYi U4HCHuX1oTghMXWah6epZGI1qZHUSBVKtqRqAgUoKhSf2grVBApQqkCxrmKmJlCA0giUmAoBpEAB igrFB2lqZgAoQKkCxVpp6nRUBjzN6rr7ggHPkJLj8JQaSY3UoERDnCZQgKJCkUiaJlCAokHxRSqG aQIFKK1ACbm55FGgAOX1oYgPRF9NchzHFRM4PKVG1q+Rhw4luYpBms3XyI2pCSmWlbNnd0te8N6u DB8ccfDCYW3XpkmHGJi+muam7/dinAtD21O/7TnwQ0MnEhlsBApQFCiSc1vBuAEoW0AZf21NFkrw beXiskdhj1IFihhicYECFDVAM8eKqbhAAUorUIJUDJplwLPigOftx1tRI6mR1EgFirEEzQIFKEMu J8cJTnCiTzXf33/zh4fY1U8M2+00mKGPP5ldnMzPn950enl3w7qzZq77bfbr2cXp5a9PH7b81+u1 78nHX+H95+9tJyef/zR3K/hu/f7Q//66/+/N4/fk2gW+9JXNmpKwskAnywX2IvLDQzYvc+MCfX7h GeYX/tQWGP3bTQ9f++fGBebnG6U3vvn7jQssy42yvPPynhveMRtkX/dvurUnat3dsOGhJ+eX18/O 4np0S//gde/v1X9+LOL5Let+xktUXvgROzzZZW25mm9+xPbLevH1Pbth8S/rq8fE18ji3/8flprO r+BCBgA= --------------Boundary-00=_OPPBJ12QF459JQ8KNVBQ--
