dev-python/matplotlib/Manifest


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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
AUX matplotlib-0.90.0-init.patch 985 RMD160 fd5a955bd5e635944ea5124499355ba7737ff7ad SHA1 3065b542d6529085558d388cf8572589d5c50249 SHA256 e02a9adbc7aac79ea031b1e1c22448566285c3ce3374d8333a21128ec2f710ed
MD5 bbaa0b941d0e9a5459e647dbd6255861 files/matplotlib-0.90.0-init.patch 985
RMD160 fd5a955bd5e635944ea5124499355ba7737ff7ad files/matplotlib-0.90.0-init.patch 985
SHA256 e02a9adbc7aac79ea031b1e1c22448566285c3ce3374d8333a21128ec2f710ed files/matplotlib-0.90.0-init.patch 985
AUX matplotlib-0.90.0-setup.patch 3629 RMD160 7f55e9da9f400fb84029555dacf4bd45fa784157 SHA1 2947be9cf2d361b2c28d865cf36e39a5709c1ebc SHA256 8bc37c113e8fd597c84411913d73e061e017f8a79b6f84acb3011f1a4eee4ccc
MD5 edac026c015ef396eb245d54544f4c9e files/matplotlib-0.90.0-setup.patch 3629
RMD160 7f55e9da9f400fb84029555dacf4bd45fa784157 files/matplotlib-0.90.0-setup.patch 3629
SHA256 8bc37c113e8fd597c84411913d73e061e017f8a79b6f84acb3011f1a4eee4ccc files/matplotlib-0.90.0-setup.patch 3629
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
DIST matplotlib-0.90.0.tar.gz 2795281 RMD160 6be8d7d1f0896378d8c8880b8b0188e2037892cc SHA1 707366d5dc736ce7446a41f748f33e7603d8f023 SHA256 c3c34a58a62706c48b98a16a0702a8114f2674780197ac715cd66f65fac5478d
DIST users_guide_0.87.7.pdf 4207694 RMD160 15ee124fd4ac3a952365f3378d420270c742593e SHA1 795b385fbd7fd37efa3f8fdc7af770ca59560724 SHA256 2b1bad57984157faa039a932bcf9711cd72f956d70ea9a5b2a3bf9e0b3bbed20
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
EBUILD matplotlib-0.90.0.ebuild 1886 RMD160 63a698e4a649867e2006c1007de9983bd6ad3d5f SHA1 cc9cbadb84686959e44a928cc4929f167fec33b4 SHA256 5886900a00b3b5b7b71b5d42d4f4dae4b48e3ee2b0e3954bcd878f509e953959
MD5 a786daa31edc3d31a48c604993fa6f35 matplotlib-0.90.0.ebuild 1886
RMD160 63a698e4a649867e2006c1007de9983bd6ad3d5f matplotlib-0.90.0.ebuild 1886
SHA256 5886900a00b3b5b7b71b5d42d4f4dae4b48e3ee2b0e3954bcd878f509e953959 matplotlib-0.90.0.ebuild 1886
MISC ChangeLog 5936 RMD160 4b97bf284404105657be52a2acbf5801419919e9 SHA1 f4b97658168271745f26bd36e594e3721558571d SHA256 c91386fb1e0870d267415c02807a5ff8ba5f8d1cb105bb95eb10bf1caa8c628b
MD5 30f0228db02ea3628d708ffcda9e680e ChangeLog 5936
RMD160 4b97bf284404105657be52a2acbf5801419919e9 ChangeLog 5936
SHA256 c91386fb1e0870d267415c02807a5ff8ba5f8d1cb105bb95eb10bf1caa8c628b ChangeLog 5936
MISC metadata.xml 421 RMD160 47d55064d4311a383080e54ea27ea50d892c0c14 SHA1 0077ec197b51ba2f1511e2d64581378665653d85 SHA256 d613ae46270f41b93a0e89d338cd407391b9952c45f82fee81f516e01e94da08
MD5 b1fadc2c43ec61515fc5a115fa7e3e09 metadata.xml 421
RMD160 47d55064d4311a383080e54ea27ea50d892c0c14 metadata.xml 421
SHA256 d613ae46270f41b93a0e89d338cd407391b9952c45f82fee81f516e01e94da08 metadata.xml 421
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
MD5 5b9d077813074fde0a8eb6137e3caf96 files/digest-matplotlib-0.90.0 506
RMD160 b4ecb0d07cd3c051484d30ffaf3c8a7321b29639 files/digest-matplotlib-0.90.0 506
SHA256 b7a95547b984f09d4a413f8770cc777785b41039b0a8f47b82bdaa0364e17040 files/digest-matplotlib-0.90.0 506