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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-0.98.4.tar.gz 9406439 RMD160 cd0a8be26296eb30fb7e0ab506c8145228152a84 SHA1 68f99ff3e9a68a1ed94f4c275ef231c1ac84e96f SHA256 149a656f0824b24981e1ffc0cdabcb6e4a40c88477fd91548d068587a1658f13
DIST matplotlib-0.98.5.tar.gz 9414926 RMD160 7a5bb9367e5d9398c1a869f92b7839ce4a2edcaa SHA1 b494ccceba1d9f7ab531dca80446f81a52e6430e SHA256 cad7b91e24199d3a09da9618e44f2a28897aba257de74eda9d1e1ad08879292d
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_0.98.4.pdf 10654316 RMD160 8de6ffd75a72b2ba484a07f1e6b9222c5dbbb749 SHA1 1aaaa605ccc1321cb1df4dd039ec12bcf5118bf4 SHA256 48dde045de4e4a0c9689e81d79af657d7aaa845aceeac06b83ef60bbee5030b3
DIST users_guide_0.98.5.pdf 9800498 RMD160 fd0c6e0b1927f2eedf93fa56ce87e0f21f162136 SHA1 d028665d5ed48ba70b6a2f1bf4b55710829e6416 SHA256 9827a48551c3667bde3403aef34b6c289e674ade346af6ead09a8a95758cf846
EBUILD matplotlib-0.91.2.ebuild 3242 RMD160 acf139fe0fdea107a98c53241090ac5dfee813b0 SHA1 0d31edc94b0bf59aa1d1f7401cad7eb89b2da7c0 SHA256 6baeb575c511381626009889e1e740a16b83bfd15b11437100e1c4f02069bb5c
EBUILD matplotlib-0.91.4.ebuild 3266 RMD160 359278283166254daf40007539d70a013e52f245 SHA1 8b34906dc62a4a1f001d57ea5b6133bc1bf3b8dc SHA256 a70038af83e8eea4f8c72fd4054d764512f6189534266ac7f18996e7da4542f5
EBUILD matplotlib-0.98.3.ebuild 3252 RMD160 ca446d355932477e7f393e1860c82859c1689718 SHA1 57b242821251e6d5d49cc60fdcb49ca41ff84850 SHA256 b6b09499f6e56044f3b3823a51afe1f89a4cf23fd9681bd8c7b884a941e511b4
EBUILD matplotlib-0.98.4.ebuild 3207 RMD160 8479865ad4b6083174d31e3780eab12e5588a424 SHA1 4730f64b9827f630a932500859577d7dda9650c5 SHA256 63bac7ec60c57c2a6ef6306c9fa5f2a0843fa294644514b425fe06673bc69e27
EBUILD matplotlib-0.98.5.ebuild 3207 RMD160 07ae453a2c54375ec31c90f97e78355da873dca5 SHA1 152bdb2e6fe1425c96b3c28fa2b054c53f031fff SHA256 27a57b6f6bac531a13a68cfb43225196c2ecb5dc47c70470bd69b6f52bd8dc90
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