-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1

AUX matplotlib-0.86.2-no-autodetect.patch 1801 RMD160 c68dc996736e8fc81a751a72e9351b072539a3b6 SHA1 c631965fcf83c0c2469a0b82e09fd483c3a54543 SHA256 10270f1e6692d66ada676fd63b4995ecb011c6155890f237f10425568656d33c
MD5 109c23821a4c77716b191ae8a260a123 files/matplotlib-0.86.2-no-autodetect.patch 1801
RMD160 c68dc996736e8fc81a751a72e9351b072539a3b6 files/matplotlib-0.86.2-no-autodetect.patch 1801
SHA256 10270f1e6692d66ada676fd63b4995ecb011c6155890f237f10425568656d33c files/matplotlib-0.86.2-no-autodetect.patch 1801
AUX matplotlib-0.87.4-fix-bad-win32-detect.patch 361 RMD160 393c5e6c536c56a25a01786423da5ec6ef875a94 SHA1 76f55e02f8d9b4f12609a76975e75b8a5fbcfddb SHA256 3abf742b407177abc2846c75043c2bf269e70cba5ccb538f5a66ec8d74cbed6f
MD5 be6af9de4b7d8c5897c4cf510a791dee files/matplotlib-0.87.4-fix-bad-win32-detect.patch 361
RMD160 393c5e6c536c56a25a01786423da5ec6ef875a94 files/matplotlib-0.87.4-fix-bad-win32-detect.patch 361
SHA256 3abf742b407177abc2846c75043c2bf269e70cba5ccb538f5a66ec8d74cbed6f files/matplotlib-0.87.4-fix-bad-win32-detect.patch 361
AUX matplotlib-0.87.7-no-autodetect.patch 3076 RMD160 54c73b61e640aa457677cc9ca19de2e3732ce6aa SHA1 a9293275d55c6cebaf1c221a59612598f878959f SHA256 cfd7f17c133e3c734d054a8a78057754f2843c9e2721fd010cef4c4ffc7cd7a7
MD5 81ee05d8e5c32845f91fb6df0e83ab98 files/matplotlib-0.87.7-no-autodetect.patch 3076
RMD160 54c73b61e640aa457677cc9ca19de2e3732ce6aa files/matplotlib-0.87.7-no-autodetect.patch 3076
SHA256 cfd7f17c133e3c734d054a8a78057754f2843c9e2721fd010cef4c4ffc7cd7a7 files/matplotlib-0.87.7-no-autodetect.patch 3076
DIST matplotlib-0.80.tar.gz 2332845 RMD160 503924ec1567605f53b3f01656129035b688362e SHA1 639bc10a311319459214d4d23c8c94003d2589ac SHA256 9420b5eb388378310da24a00c9c8b9c0e233e37019f46ff105edd58a07ffb8f0
DIST matplotlib-0.87.4.tar.gz 2985247 RMD160 21b2a02c02a809438c2a45835e4e5a76576884b9 SHA1 ad62e01484a3bddf045ddfd6b437015aa34f7415 SHA256 c30f68e90170acd3a2f5f7cfa188cdc5ef81880eb82c20b915a549e4b2ad2b9a
DIST matplotlib-0.87.7.tar.gz 2767469 RMD160 823b554d0292c9cf307c187c05e44a2d12b7c646 SHA1 3b3ee920a4507410b3b7469591b8ca636bb8348a SHA256 cb02a3349f643746e492ff843c0e63675f4641ff42ddb65bdcc401cf379b6575
EBUILD matplotlib-0.80-r1.ebuild 951 RMD160 2ca61086fb685ec94027c4d38286ec03a6399c70 SHA1 29056fc11e5a8ea51217a0dc65f5be7d40675152 SHA256 37751842421327fe7b906471fc08f77bab44af5352fe6146a1acc34bbe2d91b4
MD5 f702ffff2a8a6dd4440b63aed514552e matplotlib-0.80-r1.ebuild 951
RMD160 2ca61086fb685ec94027c4d38286ec03a6399c70 matplotlib-0.80-r1.ebuild 951
SHA256 37751842421327fe7b906471fc08f77bab44af5352fe6146a1acc34bbe2d91b4 matplotlib-0.80-r1.ebuild 951
EBUILD matplotlib-0.87.4.ebuild 1490 RMD160 3d3da71ae05f73a07864efa459c9156a32c650a7 SHA1 7507b2862509fcf5d516892d05223f0076e25543 SHA256 9cd5f5f7fab3092efa1fc257cea52f2519166f991538b73feeafcac74d116a4b
MD5 f7f1825df84f4229fd12233d6fb9265a matplotlib-0.87.4.ebuild 1490
RMD160 3d3da71ae05f73a07864efa459c9156a32c650a7 matplotlib-0.87.4.ebuild 1490
SHA256 9cd5f5f7fab3092efa1fc257cea52f2519166f991538b73feeafcac74d116a4b matplotlib-0.87.4.ebuild 1490
EBUILD matplotlib-0.87.7.ebuild 1422 RMD160 8ae7b64bca1339966ae4bd213a969f9287965c90 SHA1 4c93272023afeb8f8e961cdf4215ff4eaba5de09 SHA256 493dcdf3a847e7920d2bb4378c9a7882e9f043b3e40a9fe121b52e4757e5b243
MD5 d83edce54250556dff6adcd90dcf31f6 matplotlib-0.87.7.ebuild 1422
RMD160 8ae7b64bca1339966ae4bd213a969f9287965c90 matplotlib-0.87.7.ebuild 1422
SHA256 493dcdf3a847e7920d2bb4378c9a7882e9f043b3e40a9fe121b52e4757e5b243 matplotlib-0.87.7.ebuild 1422
MISC ChangeLog 5454 RMD160 33e556e3389e6a40b8cc17c5a73eeb5780d622ef SHA1 0575da76cbc8a6e6ea5049bbf9c351444daaff06 SHA256 2e4b073cb73ccb181239c2fbae4644219a1a445824639bba64c6dbe6bcce25b1
MD5 fc6ec27c298d1ea912951b526e183e0a ChangeLog 5454
RMD160 33e556e3389e6a40b8cc17c5a73eeb5780d622ef ChangeLog 5454
SHA256 2e4b073cb73ccb181239c2fbae4644219a1a445824639bba64c6dbe6bcce25b1 ChangeLog 5454
MISC metadata.xml 159 RMD160 900a8c55d7a7d2f6312594769aaf941bf9e99c7f SHA1 c8e604d56dae898258b5254d78cfeac0b981e288 SHA256 9f01104d3484792496faff4805eed0ecea2352a897151f3397d49a13800037b4
MD5 71c4638c9c88af75b58e5f5cb54fe008 metadata.xml 159
RMD160 900a8c55d7a7d2f6312594769aaf941bf9e99c7f metadata.xml 159
SHA256 9f01104d3484792496faff4805eed0ecea2352a897151f3397d49a13800037b4 metadata.xml 159
MD5 a7c6b7a04166f6916487f3fe9d8c421b files/digest-matplotlib-0.80-r1 250
RMD160 43366fac2e407cf7ccdf64071c5fe68d067121fe files/digest-matplotlib-0.80-r1 250
SHA256 ae931697549e8b478999b85986ae7574ad7f524d2acf7d98935c1e1ccf301e03 files/digest-matplotlib-0.80-r1 250
MD5 ec009db656d1691714d12a939182bd29 files/digest-matplotlib-0.87.4 256
RMD160 2d1707d099bfc1a7761920de2890889fcf44489e files/digest-matplotlib-0.87.4 256
SHA256 0f33979a3d780991c339ce1ce0a4afd6319969d625d33a888a799e2bd0c18a4e files/digest-matplotlib-0.87.4 256
MD5 73176428a53a49414d29a26e4f848dc1 files/digest-matplotlib-0.87.7 256
RMD160 635ef6de2bc25a25c871b9d3b3234a390a65c9f0 files/digest-matplotlib-0.87.7 256
SHA256 4b7ca9414e2acfeecf1fe49433c716d412c47ddf52972a3aa4f33740c64e1ea2 files/digest-matplotlib-0.87.7 256
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