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AUX matplotlib-0.91.2-gcc43.patch 293 RMD160 698bc92d149b5f271b5ad04b2dd4ae674c88e84e SHA1 193dac4c14cfef23ad4c12c1b1df029f64155f50 SHA256 154c993a5d2e68f55344a3056cb8995f63d2f338142b12955f7e3a46f6b4a215
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-0.98.3.tar.gz 5287541 RMD160 960356e1822aec9f196f60337730c0bc6d3531d6 SHA1 9d3ded193cdbebf7d02aaf48372359eb3621a3eb SHA256 4ac17ea9c551ebd5aacc4fe235daffdfba4bf255deb947e4ddbfd82e8eb5390f
DIST matplotlib-0.98.5.2.tar.gz 11587992 RMD160 c6b9ff935e7587b6ee515d62964ef10e8a6bf53e SHA1 7e8483661d8b9004d0c23a6aba2806b4ecb885c7 SHA256 8acebd8c39412a4b87d62cabebb71f8f4f4a59bef78019a773f4f0b9d7f5b272
DIST users_guide_0.91.2svn.pdf 3154057 RMD160 ce09b3470221852c36e9a7611f5a138b270c377e SHA1 9e87ce31c3e93a4323cb76868bb96e8d350d9942 SHA256 b53a56fee48eb52302a1a29ef5f2aabacb62868c36d2a5912dfc5860bc991ba1
DIST users_guide_0.98.3.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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EBUILD matplotlib-0.91.4.ebuild 3266 RMD160 359278283166254daf40007539d70a013e52f245 SHA1 8b34906dc62a4a1f001d57ea5b6133bc1bf3b8dc SHA256 a70038af83e8eea4f8c72fd4054d764512f6189534266ac7f18996e7da4542f5
EBUILD matplotlib-0.98.3.ebuild 3280 RMD160 21e808cc0c01f56d050f002b4c6f3b7ea48a4b37 SHA1 d1ec13475a758029fe03cd7944f5f00d1776f690 SHA256 342f7020c6c0e3c8210dd1202c670c17b2a5fb20ce7f44f94c2645b9cd1ced7e
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