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AUX matplotlib-0.91.2-gcc43.patch 293 RMD160 698bc92d149b5f271b5ad04b2dd4ae674c88e84e SHA1 193dac4c14cfef23ad4c12c1b1df029f64155f50 SHA256 154c993a5d2e68f55344a3056cb8995f63d2f338142b12955f7e3a46f6b4a215
AUX matplotlib-0.98.5.2-literal.patch 308 RMD160 2d96faf45f2a163df5b7f68e3237178fc8530bf5 SHA1 cd676d743fd14e4f83be9906b44f05ebdd32ddaa SHA256 85de016c19836cbe2774fe7d92087203ef434a12f4eb491ce5204d7936023213
AUX matplotlib-0.98.5.2-no-xv.patch 368 RMD160 e0d3cf32f2e74f2f6b9dbcb1de603e5588d9be92 SHA1 a4671aac2912d32646d14245d2d25b3a088887b9 SHA256 c03edfaca5b01335b126b88de423923229ec9418d0f81093ff109004c155931d
AUX matplotlib-0.99.0-freebsd7+.patch 311 RMD160 3c39e6c196b2195691dafcb718fdb2c5d1456121 SHA1 7928d232b5228a22f8cd6897f4eadf75c30aefb0 SHA256 a86e74c7048474768eb1aaa23076454d132ccaf630119dbf3546532f4b96fe85
AUX matplotlib-0.99.1.1-prefix.patch 1374 RMD160 f30e66336d6e51414babc63f0cc1e79319f27a3a SHA1 8201f7f5f4ce788aac91acc8cdd1d0ff43ae6a93 SHA256 0cf04d6d5124793af0e89bbf7aa20d821dccb5b7b95eb04aeeaa2723a48345ff
DIST matplotlib-0.91.2.tar.gz 6457944 RMD160 dfffd6d4925d96ccffdc45e5da4e8426d24c095c SHA1 1424fe2f105dc82080920f89f97f1e6cb639952b SHA256 c25f6350b0047c0983d14933344006f95e48f22131de111db40af15bc21c15d2
DIST matplotlib-0.91.4.tar.gz 4098254 RMD160 39f19915cd4627c3fb8af46ae40d94478b2700f3 SHA1 8975dbaada2a578c6ae07bb484b31730d2e0f7c8 SHA256 cd4bf6ae4f95348a7dba3cddf289c951dfe7391bbcc65fdcc46094c21a0edef7
DIST matplotlib-0.98.5.3.tar.gz 11549895 RMD160 e884893b8c7b44b38dcd93556f64095a1923ad9f SHA1 2f6c894cf407192b3b60351bcc6468c0385d47b6 SHA256 f8d355624a76e4a69676381546e307378b2b8a0b30ff08d968840a43460a79df
DIST matplotlib-0.99.1.1.tar.gz 11905737 RMD160 2bd025944eab18d41ddf9f521c00a1f065346738 SHA1 57b5f1e3f0c8866af99f72fca06b4e529acba31d SHA256 1b94b4632ee4dcd41862f2a2e90fdca8f2e6fb108700c06a16e764782da49041
DIST users_guide_0.91.2svn.pdf 3154057 RMD160 ce09b3470221852c36e9a7611f5a138b270c377e SHA1 9e87ce31c3e93a4323cb76868bb96e8d350d9942 SHA256 b53a56fee48eb52302a1a29ef5f2aabacb62868c36d2a5912dfc5860bc991ba1
EBUILD matplotlib-0.91.2.ebuild 3200 RMD160 e56064c80b1c251d7845909987f0c39d8b41a766 SHA1 2311eeae00b4ce8448e31708d5b263e0082e668c SHA256 8a71d58307548ca8a330ef4dc697814694ab07e403fcebbe55de824b6c169c68
EBUILD matplotlib-0.91.4.ebuild 3224 RMD160 09e7792d21b903c9144560da2ad8936c88512eb0 SHA1 126b060a25d4a8eb449d9ed29b40f081944f2e0c SHA256 dce1c162b25fbf301e3bfbffdede0213933f56d07ca5ca3b9748d110954d571e
EBUILD matplotlib-0.98.5.3.ebuild 4866 RMD160 dea6efa174366e18b002fbd813b93535d4ec9333 SHA1 d75a810e098f54d10661b2d8367aaee859612dd3 SHA256 3e62b5ed9e7f17a8e670b8d78ae0572ebcc383787f3272466c182618224457a5
EBUILD matplotlib-0.99.1.1.ebuild 5221 RMD160 623fc8b1dadb052f03a030f694be8e3d51d78ea8 SHA1 d63f756feb3acebfce2b504750ae631d077c5acf SHA256 7c9e1e6271f328601f20f6249b019f44a3b8f16c96eb1e0c413d518b042e2676
MISC ChangeLog 15029 RMD160 7b098372f14af2c6abbb9272b7d877db60c6a72b SHA1 37655bddbfbd8e553f551e8fb5a54aa1d8e0b46b SHA256 6bb207fbc7c253d986e19e5715f5ae4555f8b059cd340c7f9334d089b2beabec
MISC metadata.xml 640 RMD160 5a3412572c06b5f54b7570a6d42e503b5711b8b9 SHA1 dbdefc26499cd67470a363f54fcb928f2f510fcf SHA256 6643fb3ec5019f58c1a7af76a25d791f1109c37929b3332ddbe1a2911f5de3b4
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