possible bug in cvs2git ExternalBlobGenerator
Sam Hanes <[email protected]> Fri, 12 Oct 2012 15:42:15 -0700
| Newsgroups | gmane.comp.version-control.subversion.cvs2svn.devel |
|---|---|
| Message-ID | <CAPk0p6SXO=TRirFG9soi9o_5uO=R=EC9rEPiiF_yracDHbi9ug@mail.gmail.com> |
------=_Part_7453_1488647111.1350081738338 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit I'm running into a KeyError in generate_blobs.py when I run cvs2git with the ExternalBlobGenerator. Using GitRevisionCollector instead bypasses the issue. The issue started when I added symbol strategy rules to exclude a bunch of old feature branches. Running shrink_test_case.py reduced the repository to a single file, which was added on one of the excluded branches and never merged to an included branch. Its only included revision is the spurious dead 1.1 that CVS creates when a file is added on a branch. Including the branch on which it was added prevents the issue. I'm using the official tarball of cvs2svn 2.4.0. The host machine is running 64-bit Ubuntu Desktop 11.10 with Python 2.7.2-7ubuntu2. The attached tarball contains the shrunken and destroyed repository, a simplified options file, and the shell script I used with shrink_test_case.py. I've flagged the three relevant changes from the defaults in the options file with "TESTCASE:". It's otherwise nearly identical to the example included in the source distribution. I can proceed with my conversion using GitRevisionCollector with RCSRevisionReader, albeit more slowly, so I'm probably not going to work on fixing this myself. I just thought you should know about it. I'm happy to help with reproduction, though. On that subject, your test case reduction tools are a joy to work with. I only wish I had something as nice to give my customers. ------------------------------------------------------ http://cvs2svn.tigris.org/ds/viewMessage.do?dsForumId=1667&dsMessageId=3020204 To unsubscribe from this discussion, e-mail: [[email protected]]. ------=_Part_7453_1488647111.1350081738338 Content-Type: application/x-gzip; name=testcase.tar.gz Content-Transfer-Encoding: base64 X-Attachment-Id: f_h87vj7r91 Content-Disposition: attachment; filename=testcase.tar.gz H4sIAOSaeFAAA+xce3PTWJbvf/GnuBN21w5lmziB0AWVLR6dbqhpAksCU1PDlEuWrm1NZMmtKznx 1n74/Z3H1SN2gKShZ7YWzVQnkXTPPfe8X6KwrggDZ+//8O2uPVyPHj2kn6NHD/eaP/31w2h/7+Bw NHp48GD/h73RaG+0/4N5+A1xqq7SFUFuzA8uWHzyvc89/z96FZ7//pehm3/tPT7H/9Gh5z9eOzwA /w9Gj0Y/mL2vjci26/85/+/+6f4kTu9PAjfvdMLI7PxbL4rzNFhY+jW3QZTE6bkZTPHn3s4u/tcJ V25/FhdmMMiWRZylzlSy42/s/+d/jMz/mFlul2bwm+n+2a6P8zzLu51/9nm/X+2r0n9wdQx2Zd/A EXy5/d97OHpwCP3fPzw4+G7//4hrk/9Q/729g68pBsz/Nt8/w/+Dw/2H3/n/R1zX8p9/7H8VMfhS /j+E1o8OcB9CsP9d//+Q63P8f1YUcfg7peDm+v/wkOK/7/z/9teX8X8aJxZ/9Ve32oMYfHj44Dr+ j0aHj67w/9E++f/v8f+3v+aI8O+MhqMnnSAMrXNPOm69mGSJ69yRX5hFj/HGcG+4/6STZOG5e2Jc kcdh8aQTZouFTYs7T++ap0869nIZpNGdpxP83ulgTScKCntnHywejrD8wXB0ONz7cTh6+OROUBbz LDfyY/TkDthQWBMBnSedSR6k4dwCB9p3n7BL7WVx5wkDpRs3Bnx8uazhKjiBtV9B3b8C9RHgDfcP hg8ffBm6NZadyLqw8/SpUiHJZp2npENGFclcBM7EaVzEQZKsTRBFNjJZagSSaVB+2HnaKQC18/Rs HlOmdVnw4iRwhXHWpgBjXh4/+8kgWVvFDumXwZa7Hd2bicX737t3z9jFslgb/GkW4HUwswZ3qx2i kRl1AvpPey9iclwUQBF7NXdh4PVG+1+60dPvaeC/yrVp/198OH335s3ZV0wAbp7/HTx69L3+94dc m/U/reF8xT0+7f8PHz14+MDXfx8c7BP/H+wffvf/f8h11/SeW7Lrg3sDs8gi+9gs1/Bx6ROY/ShO Z49NWUwHP1bPh7udu5275ugrXADzIluu83g2L0wv3DX7kIYB3O8e7idJMDmxxdCYZ0li+B0H5+Ns vrLRkHFgL+WyaXER5DgDnGIc2tTBT8FpkQfO44k4rWIurte8ePP2r69Ofumbi3kczgFjnZXGzbMy icw8WFnsENp4JSCWQV6YbIrVgB3FFPNMSlIOIHUGiIXNFw4waPcgcZkJVkEMtLFPUJh5USwf37/v ysnK5uQxh0U8y2M3zPLZfcV0MBrOi0WC45hXU5PaC5sbfdtVO+u7vM0yc+SHcZ7c9hn5RbA2JT0F jBYAnBvvBlGfkMGbuRHN3ka7EPvhfLznKkvKFDqxprvVkR02iqyZrPEzXQNAnEbxKo5KHBzk+Bmx kb0MwqK1yGCTIsvXfYpUmAk+egAAfWYQMVKg4PpbyUfFZrdq0W74tcQPcDauu9uu7S+at78ePzs9 Nu8o+np9/Cdz3YtbIXoe4P8BJGmxTCignFKMmRpfR2eZLeYgR4i7E0ucBvczovI0npW5BRglkd4G 9wv6lSr0eUCCQgD46WktisacWlp7cXFxX+v5LInMDX+T6M43CauZTW0eJOA7/loEhF+f3gYQz1xN BpxoXKzo0+LGIhNMshJxJR3KHzPgczTYDyTm2QUBXfuTO9gCpRrUIM9mebAQ0mCjvGwdf5pnC4M4 xtMBb4QItG2k1KLTGvMOi/DwIi7mjH7dz5CffRgA52AC6a3qPACRxOeWbzzueI5v9ESO9M4AWgHe Vm61OgKIsCzZvPi1LAmTJJsI3YgIgYnKxXJDDAiHLIjYtukRS0aUjrFDf06RHgzixTLLix3mC6Dh yG8TCxdvqK2zjfnEqkVGtrTmlxD9NZS+YleUmTQrxF5GdhqUSQHthf2TQ2CLmKSO+LFctyhHZ4IT iadrEQAyYKnFOZqSGgK9gk4TkEFr6QJAMG9h2oMinLMd9nIWs9y9ZeeFDAom7LJvYId4kyhLu4Vs VWSAcp5CvPRdIKo4sVg8x5J4yqvuRdm95qt9InBKj4h6MfwSBHMeLOmUmbxY+GMRp9gu55OYranu Rqa2yMsQasKYgJhTJH3rSqVFSyi/PndCfMJoKZzDfgFbbHYOpFxJkl2Qm+Y375lXKRtovB8gne8b LCMvTv4OEd4SN4lQLp6l8TQGjkWDaD3mH0s02xl1ICyjZY48FekpgLJW5Vm5NJwEi8oX2cwSC3eH vP6MHBRkCE5KaSkcYBpVrKeDRBnQ66voTBCEClkMYb4Su9LAndJmenNYHzclSU24IpGSF/FcJSli jQpASKTLc9Pb+bizSyDAGkQHwdLyRuE8wLngzIfb8L4gGuHEbmlDkpFAd2JOy3p4vCBOW3v1a9G2 sYh2pnvykWqkyPwwmAA6RS+28AXCfQOtZEkyO3lwodvv9JkWcBWpJVSxlKFUAmHsb2W8ChJwx6gN atgrtlhje2nDsmCTe2S64eOPH7Eyyi7cx49uDd4vDvY/fsSLQ7zYvX5lTkv9ymphvY5Xwt94nx5l oRtKlMkOvSgRCMRBch/WLM8i6AbZHbJId5WrZJkYynbrdHYB2xPhpJBpODhRTTZPE6qQwEbFKTgx Yc42XBMZKz6IjfpqnZp+dppbC6knDjU9WsPqF5ew+GDMC/ySTf5hEf/0yBuq9xwn8eQ+iYe9LHDg XQ074duSyDViBdbYtv433QVd8HBjbwlpSwnvYDgqU/BLXMCjvdF3QkiQY2Qa+zTRgtEfN4BuoAd7 vrBmFYAx4HIT21kGJ5uSiJGPbngvgOtQUPWK/Y4AgGUtE7IZpPOk72pZyJ8X3mUpDo874rFM5jod tvMNhI0+EzJd/xgeZIYsoRhHAeQTNnPj1SH5Q4qPZQXihDPw5yeLfMfmm29TEUtfxa+zba8wLTWy HYfQQAgCRT2yihijD1/4Z5swgAKoGiRjigDGEm01gBzr4+d4+ot/uB0TiSyUsVuQeB3k53/JYVJv uP4N3xcB21y5ddVJmSSfXhatQjduM+TPdn2R5dFLqGMCCXmbZ0sEdetTCMw2lPPQ1cSHJgVgkQf1 7sWpP/U7eLJty6XutX05lcI+s1xKtWPYKbjC2dqvRM76nGu57yD9N1l1FsxutER2eTV9wTVad6O1 x5dhUkb2nZ3Zy+WpPrwRBKR9odWD/k4odPDbg9CjnOXISYNEDNAtGKBgPlj4svwW61/aEllqEYe3 OsT7NFhM4AKy0r2nmvnttn6LAMbmuY3ewtymxY2AnPLtl/DD7md4uk+uxdLUkSOulM1y0IksU722 QDvz790EEgvCbZe/miEmtLdefsIBZfzf9i2Sks8fYqn2aezYQLlKmRHVkO1ynzNg1wF4kaVRTFYz SG4LgowbhSzj2I0ncYo05Abbfzh9zktIEn6SNO91vLBn66W98VGasI7f/HparJMbA1Ecbrvcr/sZ C257juMq7L0tR9S53VooCPPXyDhvsub0w0lN/WsQoCgaCfs8y5xkKIld2YRiSwp6KFATB983Zap1 Hk49Mp961IkHnDanGhItUfw0FmBHGkAN//Ls3cmnnv/X+1fHZ53rn5+8eff62a+fgvDh+N3zN6fH n3rlp+Pn73/heJXKMVGcc2DGmTxlW1QLobJcllPyTkqEMyHgHxaLJV6WtEeIP8CtLgH6qeTMEGQG ScVwuLeIw/tVlIxNiPhaLkNikErRVYsbPhBxUthBxkfR4I5mKylVegaN0o6RPEjyVqptAb0tcajG ZFXNUKNxiAt1/LH6hbC95qcpkFH5OjSnRaUrsgVsItJvXx9DEu6LmNM4R+IeJByjFvGKU6tFSa1s CAUltaXm9yRsPC9MJXYq81E6TqjPfS4D6TznigXV5WA4Ts4M9SVdTEmiJXRfUdFilZ3jIFTkwwkR 50nZgOiLvAgp5AaJ6VWmY0VkyOg1FDvaGrT3JAkSgfEskZQJzLqgkJp3vcolR7WIRV0wAISqZlB1 Jqq+usf5sbzbFDJK2gYkEUMkN92+Tw4VoUoBld9SsQDJfC11c49afRkMkZEl3bdEJlIrHOoLjffa cTFpjKPbXWd2wmynLtBCjC4LKq8097kOjwYCkaiS0h67sSJVku6JKKU0Kprns5KN0pVTZyoqUhoF an5xXcG4erqNqF9OJwBW7rrDNXsbFY/lcGVx7QElO6rOFnvl8oU4PWYMNIDr2usTF0o32TCxYUDG S/D8AhBEEWz8EneQ1HMZjvSPK0uUv3sA0L4ykMrCBZXItuw9DeKEJoO0GfDy7PWvfnWUhcwcLW0I KXYGA6A6YEz1zGRzI1sQoG/DabEdTrp1sCkupgoWllKlH+Z2Bt1CCl4VXwTAMgC3bSFFvE3paBQH xRj4Oo0okYcCXaJdpH/DxmnlGqX552tfS1fLlZNDMldQkQpKyVNDcNbOplLjJsqJreSeIHdUfeUy iCoc2uc7+lt38Fu3b7qDE/7vtPv3q7rwfouzZ+ew6e55wYZY9MKsUSw8gs/Murt9eXuDlL12afGI PWz1+m7VtiQjH111NytYXFCFDG/V8wKyvhsaTLKVCADAsEJTFVirKr5o3NBs9ST5Na6EIp4rzoTQ Oz49e/Hs9JjIQYti50prKFwLctYpretYrvJQ0Y37JheW6o5diPR5vIQOMoZE221eyEzWLEeu3qFz rRvbWjbqXe9Tdjt1iwxqa13VNglqq523jU1twiAkyZq98JTCT1CRjynhxgWZDe16bbfuTAsu+zP5 aluIeJaAnUAGh+2zKipH/Ixwf8H1v3ZvhEWUAJzlpS+Wa6+Qz6POTpGPU64BiKTnZXruxb6KQtam Fw/tsA8JTIwf/uNopghmpKq198x0cI5j9fa2u1slBjEOom3qs7Lo8PhdwDXTyRriSqhpa6xcTHBy 4FZhoK0EyWtNldvnVIAdylnGdMjWwANt6uhzLzudghdC38a7R0w1QvWlWFnfZKV4Sqci6XMx6jXV 436Oe8OsIvxQorP3aUxFVh2f0KDRm3OxrY1SrDREk9ix97Qp33RMJ60lFwgIuZiMmJreT01XBlO7 PKqCVKWIk4blWhhXhiGk2fmJi+oZxb/+obb5pmAvNWPGujW4PjW+ReadT7RLaPqidgKXsjbdXCoh ggX32gttaHqYgOCh2tTVMTlxwz8Ikotg7RpYcRAtPWCWCRbWurFOmwv7yIwKa8aR0vLoCnF7HTKp f+tUUwrdspj+iJiyvpFQF3bUuNUNXBjHjRt/l1/vtimFkx7pqx2x2x4nysL+uQjJc5sl42l8edT9 mOod8i1/3fCcUGDLjGZ/K6JF8U/qlYCYul3GTc8OZzARi2ANKNQurxuIG9jt1mzz0P41GEcGqjma 4qc8IIV+rlfIJP0ynvTgoWbypNQOI28ilWk5oj4e6+OxPBx7YEdGjtc9LWA+gjzycKr8nMI9BYJs lK2iH1W5PdI0VeXxRAxMEbxEcjwXEIca+XJGvuLasJ/UluGpJZkhoiOHdmQ7hz5W8Tv6cYDuv9Oc Noz3btSVmLX2NqcfTmonK/YdYCrvow9k5kWWRXI49XmZBjwNBLG+F0TihCDCOmaxzOK0gFPgkCSo /H3DNwm3iC7XsoiPp3QlN+VDmyZPhB5EGO3L0ZB7wK5DuNVtYfs7WKjcqzLyyg864RFNA9jI51hb uOKrweul3XVd0eVWKIAHnhfqYXtdQbtLJYgufH9313CfugZHqizgWsD4++oWMCG4rrqG5DtXSY7U oZwi/YT/uEp1ObC5ci6zI4A2EBzufE3KUxgk44rOllE2WNh81tSQuY1zxHplHlrP+U3GSJh+O1pC 6k+ywvi4ySdWZcpCTykSjCynfrEdA1vyBuVyXEVSnMRfaXkOxY/5FVSugkdY/y4uAZjxgJiYyh9s sOXgDfpdoV6De6fUdScFC5OY8xUC+zoI35wamrckQ6Jr8eDcUJdcio0czyVZOuPZJp2J4xynSn3A ZptM6QwXOZIaHY2jKLhcqimRuhYbLolMdPLO7DxbLhN7ijWJpZJDPYxIw0XUqYJ9ooxDnGW5pNIZ T54R6i2kqThwQvUKYEgM7XOpoogXmhO1Xr4SJMUCP7VU+gx0/FSHPqLYhfA5bCZOra9YbdTVGokE DwhxLM0zgQ3O6jiKVo7ZoVCIWZGStEMCPQ4cG8RRukkArSgRjQGDAkA6IDON2UfMdVRnlaKSTrjo Bzs6XrEQY9aa/uzpJCBooZOFTQxaWFaDNVRFmKwZgebLi2AWhz4dCXxFk0L7KQ0dT9aFrep7hGXl GqFpkGdlCFWP4OuzKSeBkqXYopUFKr1pGIe4Wg1YxYWqpoRM44CQGzvB7sj8HCTOVpVqXwuvhkq9 QnkzElQBHRd1OQwgMrDy8LQrlbGo0aqV8TqPxP5avZcZVwJLWqWOqGXiSSarYM/nr3c/8UJX7g/o /rC4LLo+UyeB43rGztbEb4eOAT1ZMnqwmVosm9N4Bcl3E0NJzHid6LOGX11nrnSMx/KSTu6C4s1M TGTXBiAdvSYVN6o6Ro1hy7a9PhO9JSvdC6ZUweHlPvjhzahXwANdul+desl4WDu/ltGw0dA8axxR A3zvvwIevoax1UG6evCWp/l8CIWLqKEDeizE1TAVY4VTKXWRHfhxP58os34GAkaxqPbN8uZWDahS oYKAcsSbTWX53Df5lSL1vvN2ch540gpHAS1Xn4qL5rfyWN2n940CkO2JpLZhFUDRPf0olNcvaPaW jEtuZ2US0OT/Erxz0hMiqu8Pq4P4amsYLNnjUipflTH8DlvKI7JVDwK4islIprAKTFm/JrJLxI6G I2K7kH0Phszryo1Iuw1+vxqsSETwuCIEVCLqCWZLLkAQErKran1VSQESpUSPV9hT86OomqctTlM/ ZOkHMqiQTGZ1px5kdz7PEQG4D5m4L+RBOtCYIamGrjXW97j5agi30RKqhq1FRbS5JxEHVTqDPKGp bGKzzGqnWvHxbo5Nds1a1VuuSaW2mrQntRl2OlpI3m4UjjQ9vavV9mah3WfBFBRxVs1fjeAnCbBn bVU/UzAq1doy5PHhbQysy25eueloAuIqE0gxMiKqy/o+WA7qcAcxjB9OVEILmHnMbpGsmwaQWzpv Q3lZl0hvjkMhtWYCxE+gbnyo1OqWKBAfig8G6gYEhrYPBkKNZePbJIau1dbJWqEIBG5UDhruxJcz r/M+uwpaocTOY8p1w2YP2riYB40p8K066UW7q6WoZPLRRrsSW8yhabO5fP5V2EYLXYqbsnbbEfwn G/rJQZWj8UPmVxRz9QyxkAqVZ3rNDi385QBd0LdfV7ALCl16DXqtk4p8RCoLWwaret0mK9ml7/Y7 Xmiow0IhLAXXXi0q5Qy2WF5JyzYVxlX14T51gtTO6ycsrQ8IeOknJ/p6uWa8w3vfCFfKHL8cz60z g0ASUL4mhmqQt1bxvwjZawctgWuZ0jcR6aCF8GmVzyxtBoUyvqlr/Dc99A2GpChIpbHeJ4QUAXs9 1azO59ZL6lTHoS+GuI1iFn3FP+JvuhQA7+WHVSJyBNtqTMQ3XjocqQJxRcw1jA4bCs0qfMAtvRWs 9epFEIxO3yXUGEPcpDBa+0nYSSThbJ77LvyhWAbbQ8W6upqm3xgqlDL1aV+crL2drGw3ezxlNUFd 19vx5IbA4MzEXsau8OFjmxZsB+CdJfvQAZAeNbVwpwmDUCRy+7reLvUm25+c5NQKTyV+rJS40hpt y2qe0W52bc3w2DrRKRVEFSX5gENPco+U8F5f/eeaic05eUafdq1rC+pzXKRfdOPTM7i9ljr6LUkh rzK316I7QpuoJfquoqIkt5QUV8HheZxGnG1qVWq3Oa/WopNCIWq1tfTq8G8D8ffaea+Z5Enabwbf jXCzCpwFQM8bn0ZHlAVqJVMmlQ2kmHvjiQKpyAPZgHrv1hrGTpdYxpB9UwrvyAm3zRc3TveKo5Nc mo68b+DLWFy1FdxVxaUPRWKx3ZBzeuMtD6sWt6ycmOCy+kdO3Of9VkMx6lILq4fLkpVt2gk5X1xQ zuQjzP5ndEVos2WOvkGaX+lfW9GghxuSWj8AgciLDOhQfMhmmMxZqazfZDtRjj2Qj9DXPjrkT5yq HIw9iz+djjD0njlXLvw3aNtR139hRh0Xr+zXBjlthEiNb3OQySQUMv1ve9e24zZyRN/nK4gxAkqO pIF3ESCYzDh2vF7sJut1YHtzQcYQqBFnzB2R1IrkXBDkD/I9ecrb5sNSpy59ITljb4I8BBAfDI9E Nruru6urTp0qrUF2oRewfaSrnGMG7EPqkPIKRj3cjfFpwxLGUl5Maf4Ur6XGSsRaAHboLuZBN+KR 6VT7qCy+iCWsmJQObDAknN+5Egkh08FGTCaqVEjrpC37SqYOi0bu5hgGS4wBBjhPqF16bIvhhfnY g7aRbsQeqUMB4s2IqXXjbgFkxOLSzS8rcjSXAGuy1wsSzLAnQcOq3aKMlJ/QjO/QI5+eEipzbAls D/MYWYW0EZe473yFrAVb28qemNkWmj3opxvtsu+fiaveLGIJjqREmATeM2buQrMASgz7Gwty4P/y asMZaBUp73S3jhkcSo6YXEhtBDhGMihJcBYmnEE/UweLei82U3cqmXRVcUs+yd2GlqR1MeIDcE44 ZzJsstbywjNmovJjAm8qeqvUAJf4AF25FXTSjf/UEU8FaKTvOJFgwDFnDDSk5AzuUH8aUuINbDUM BN+lCbxmuAIPFRIhFDC7CN3DlrHXbEcmO+tALjiRKfA9C0BCzwuBFqER12wOPa8ED8VYSF4w2hk6 37LFLxwRTX6P+4Mz7G5bnPPB715zoPnfUOOA04T8G4wCg4Nex9q/LrCneH+Q9mEHF4rhQOh8yDJl IA9YBKzA+2XdAzgE9Qxeyltnl5dZzz/XrXSRhzj8r0S/eroSrzXeYXBR4/wA7da9kxyRnnxcvdc1 KZTigOBrZtZjNwfUWT7Y5S/t4bB/xonr9ZFRtdcrFjfOfXgAQRe2AA9zZ87SFiFN1QiHo975OPjB o8i/wy7jVFZ3IgVtMoUK1Nq5gGk60DUCLpmD17hCg4AxWLpf/+nVy+PkC4V55HilGePFJ/RX2Yyj i4ATRav1xCC2dzXz8bCp6zlubgzKhWAz3R/3GMGsXwMNHHBUFPtRN2lV1+ROVGPkWz3rzILL/ITR Uig4FWstpBnncYeUGbce8YGBdRmGipoPdVc5XCwYoaRhy6E0nmY10abo2qVHH2j+jky3HS18TZ4j SYpIZ/526fISAzlFnC/4KnJhWOplUQo1IJI3y1KgL46+sTYgtXKM2+e43Ux5MxhCITArtWI0/b+Y OMn9ljs07z6vFjfFVbHN10XGiff46wgZRQsdwlipFm2jDG6Dep6q/H1C0oQEnbfnR/7OdBZJkyNx Xoavy8IdAMd5vdGTyha8CrTSEKrXIBt2vm3wZOhwbpOBmEz8S+dXq3QaOT8PpKANfCCHzWrTkDBO /2gKfUc1hHmXm6xoumfDOcdCSDl0JYSio/q8zXE+IzskXQx7OZp0F/vRrSQsmcEu5paXpQOs3DoN VlSAz4x5RI/uT5gL+jBMHeoxw8OTXmNNJqVo2ovI7hf72450CfepKjIV5NHo4RritRIYUtIAV9L4 VgtmVPVoN/xD6LSuKbck/LetEIoCr5ynbTrE/i3AVoi2w3Nsbcuq9utXySlBUp0qw9CAkCCom+61 wB43RQNzUPnYrZaV8k002QUweRLDrs44zOgTPsSzDoplFJviEvom2vyZ5GRpV6XrDHXRRtNthl1y RAJ2zYmd5zoRzigv2Qvw+FBgA63HTTupBBV3TA0hfisOhQUYUkkCSI19oBKfuWoxljIRrPhSKH90 zFcFn2dK0ZW0v9tWOkKSet0KY05CWOa9acGKJH3x5psvkTzx4g3+pf/LAhjNVZ1g7ZnnNX6HDcVv MPJdrrmDtEyvNHdT9vUq5xBq3nqT2fm2o2u7q7iIFr76hJTQWCtGr8caFOgnF3L+nSk8EvfgTEtt i2CRcIlB/vuet8qBvKAOLn/38s9/fP3mi7fLPzz/5ruXATqeB+eGL0RzsUFAvRo7MrDCHBgW7FmW oG/iWHHM8STfntPr9ZwiW0486juSC9YxvkOvjVe3Q9iRqpFtFaeDUuClJ8+7qrt6ft2XDS6WDq5h tvfs4WIak9R1Mp16drD+9yOPur67xfp+evCgkxCbru+nmnTMSS/s6cHE7Las/uLM2/tRXNuLmsuJ tpbWjqUugOvPM29lpqhXMM1J9YSh6TK7yj10r8inJm1mat2XUkAoE7qIkZPNc3RfaDCA/XtpTxw1 3B1z36RuJEbTCCxqdOmoFtUKzqJTa8JAVyYCWXmNhsTr+kqDUOTL7Ghkc99BODX8kXaNGYL8KhaK OtmiLxk7cA9oG0fR4yF7j1sR58sdK7WSYBhEIuvp7YtX6iy1u7pbceKUYHWtzGK/v3FvvVAmX4Zo yrtddp428AfpXGUZb7rLgpw2tXhvbm4W4B/PP6Colrd59YHf891cHpC0jrJF4cqGEzGNZuKGZ/3a 2DNeCSApzv0eErt/+OYhGRqmJNvdoAimV/gcLGHCCRuy0bXkxOTd1CaZlLQ2iq3/NnJjG8HOAXmS AbLhQ/cqZxBXEAK8ixTnTXYHCOJtzVaE211J2TVtQJhjS17S4XlIPT5/E9LuuDiUEEctoUxFY+Nn LS3O8tg2QvpfU0fB9Y91Rx4c602Y22ZWu3LhHH6G6UQyhvguDo3iWUWFpPBz5tJ4irHYioOHQ8ya Cal9aoEDB0YjHbV5Sr5hzT8MqFNWn6FPm4zlc5XnpCBd93x212+CMVgxyouszTaCfitEArVxOLvW igTQE5zbmKxqTj0rOM2YdzxgWPyfgfjkkH9H4pBW8spXWpi0Ad5ZQXFQEyin6LJad/kPnTCD6/Pz boesaYFma4mc+JQ8bLg1mcQFc5F68dRe2IijquhxVGuXw0iPbFbPx/IIYwLwzELPSYbBuTg2k/Wc y2BlIoEQAvJnXDYSgyNIi4hkcWDrCXvHj/FYj1f0fwmNRZ4kFuuS37+U9RCsdUwWWyaAj5GdR00L 7IIAXZC6JzndyOHgEhU/dNQ3Lmwc3iNqyjl5uzI5vKjr5GSV7Z4eqm8W+zq0ElUSrF2kMfoc0Vz9 68T9l9sYItMO3DbUuMy2iX9euqa5Voff03PrujycipRbsLQZC5E6tQBGN4B+GfK1h367SN7wY8mJ Pv/MaraS/nh6aAAqGpDPsWRveIGhNLWVKPS+oVZ8tEwwu0GcSWPXH3aHEieFL1PcInMk+eV8VbTu ftUSUn7bErRcXvx1tulykY++b5X3H5VZYgmc8OBpNBhMtxUIeyJxBP5q6svDNqjgVLRdm2vd6Jsq IAIbjCaRHkFs4YW5nIHhJOq+obXTy6mgPtPWWhwMHjn9K9uIqc5Imhwnk9TNFFytkbkyGzYtP2Qo 8YKn0lcFbeV8k3zFH7V3yYl++4wEWC5guuTr7qkigMxvyvl1XYp42VWd/OvvxSr/Hu/kL5/drs4X VedexhInq4Y7mb6rVwVN6xv58Md/0Kpq+aNn7r4FPHdqwb1zTZIomrrR177cFVfJVz/+c9OUWVXh vfniQ5fLn88uy9tFlUdcMVb2lVc1nxa10phV4BP3IlfsP+e3203GSINEn6XHFhrCiM0QPWH9G+0d HeDfHPtewRoOUJgylbLGrKeC/AlVfmqJHiKrX/kfcyVTojKypODfV+VafYK4MuFpfw3+r6q6uEqU YgF7gm8IsWrdhLpZbGkUi+/ropr4IkM09XgrRirZ+b2SL5Jd3z9hrotMAlU+X/9cafnM+7UWgrz9 G+WhiIVek0bgg+CCNnh17mF6Lk4NX9rqPYxWlZyE3RQZ05qC3nZ1ufsHS3A+8Gfa/FAtDD5xtSHG cum1xLZMvDM+xWKR4wwlQzbXnnvLWfdqcJJQtB4DH2YsmqKUYgv9NdUvdDmZRsUIImuMk4cg0W4H MxeqlZYd2xcXbgtMJLi3zledlN/adjuyAxh3j8q2uofdwY+AtpxFJOqvyZNO5k+1K7ANrS6qSxlK yryEHVJCMutfg63BAgBinDfIiJViFMFtDDxt8xzckk6cd0RBgWBEDH5EQDkV5hc/08rabS8JxyDL mAZccz6QFTTIKiuho10Qi3RYyAEMwK5llntlZXdwVBa7tsv8yS+lpPX8Z2ea7q+ECkpN3SWbbHcZ m+cYTJZ8/hkf0EA1xEuQYsfT0FlX4xlsEvB/A99gcRDWUxlC5azs2DOSMGNvooQn9SieLWpzWPEW UfxlSTcsqUMw9pe0LctlWy/9vVa72cz/b0G/V1zN3EvDoYzcIxt1kYw7p1gz97qnM+fBlTnt4LV4 cPw8XmHF+WvSNvH6Rl+1vclBrKdF+AgWfjAF5X+xQzKvwpIdj8nbe0yniccirdIYOOPTfszADdul pmbcV2sg9mS0HoiWO55azehMltKu1xk5Rbm6Df/mUurO8ueu3oXy152msxz0kR+D2IWxU6PuWMVq Q534637Jy+Y0KCSQfEdrbbR25hi1WQiPOOqB4QetqGf5aTRr3n00a40xMr01EotslgQ0Gt4p13Wx Tm4yrkTdBNEKhXbDoigMzqjnU63vJSdxvDtoQ7JXZN3gDMXGXYvIfZzF1cgPHryX7w1GA/M/GOfI Ly6Kc0QfZuFLxyeAA59QXheb/LawH8mQovpKph0bvZaRcnRnF79n/16qHml0QGcnaCWkw1uSEXtg rVKvHt98qDf54zC/DjI89m2MjmaySyuEcTZ381VXbNZzMoqY/34QvHy0Bmzj94NnL+a3rdBy5ZjK gkaGK2689kwgjYfloMwE5/lrKSp+Xqu+cIN6X7ia3rF+kseLxpE/s0tYjK2QmQIhCnxRhGtaHhHr kiUf3j/r8zrF89WEGxMH93DtfTVeH80WsQXO5/Mj4Jr14mwOGuAbzrkGvfA6nccYyMh52Lv07Eka NEL7mD66PEH/nqbTiGDFcA3sWePAY6P5Xz0IBzMxZ1cp91v8dBMPI92R08Qaix11s+3sVxCmQSNG jtrxanOB/kgQpmvcDzMEz0cDdz8UwMWEpHfBChhd0bQXdjm73fPJ2frn0yX/G5ZzSUYv/9jZk8XZ Z2H45qe86D983eLsc+eAylNvhan45PiJ/z2NUIyCVHC0A5n2QsqLF1dwtFin7RcJXHjCzYEisphA OgPW4ZTI1zM7y61c3spDsF5Bfaxm9SQ9O0tn6VFvtGwQeNZrvimELd3Y763MMAa2ywUlJEkwX2DY T79qnMMS7N/Gd/XBstSTaVTcxwVKXY4v18wRDObB3E2J0jPYa7xozk90CE5gwB+HNkXczulDL3H9 03OSTbjRJOCFeTJciHQjtf5c/klg3bERaKwrXRMmYaWz6Cm55Jed/iWFCTlv67l+jgS82TXQFjLr jtra0nDT91Yhav+jpftrf+2v/bW/9tf+2l/7a3/tr/21v/bX/tpf+2t/7a/9tb/21/76v7j+DWFk B8cAoAAA ------=_Part_7453_1488647111.1350081738338--