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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
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-0.98.5.2.tar.gz 11535286 RMD160 12c64fce5758259f10e31aa1c8e3b47152bda09f SHA1 fbce043555de4f5a34e2a47e200527720a90b370 SHA256 9234f10314ffa1774b33839f59bc25dfeb8fd899484c06980454cac4cdaf928a
DIST users_guide_0.91.2svn.pdf 3154057 RMD160 ce09b3470221852c36e9a7611f5a138b270c377e SHA1 9e87ce31c3e93a4323cb76868bb96e8d350d9942 SHA256 b53a56fee48eb52302a1a29ef5f2aabacb62868c36d2a5912dfc5860bc991ba1
DIST users_guide_0.98.5.2.pdf 11535372 RMD160 c780a8a9de94470cb052f1a2567235596a573213 SHA1 de266d7b609a1cbe4fd321a074914e06f1e361a9 SHA256 470522fba9e874dad3cf74b70393bae33ffd7b29d81b2e865e6964316a5f804d
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