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authorSebastien Fabbro <bicatali@gentoo.org>2008-12-19 15:48:46 +0000
committerSebastien Fabbro <bicatali@gentoo.org>2008-12-19 15:48:46 +0000
commit4bf0512aba57efc378ba24b26b808d556b4a10d3 (patch)
treef269ea4296c670c8a9bc0952595b8d15f95f42a6 /dev-python/matplotlib
parentVersion bump (diff)
downloadgentoo-2-4bf0512aba57efc378ba24b26b808d556b4a10d3.tar.gz
gentoo-2-4bf0512aba57efc378ba24b26b808d556b4a10d3.tar.bz2
gentoo-2-4bf0512aba57efc378ba24b26b808d556b4a10d3.zip
Version bump
(Portage version: 2.2_rc17/cvs/Linux 2.6.25-gentoo-r7 x86_64) (Signed Manifest commit)
Diffstat (limited to 'dev-python/matplotlib')
-rw-r--r--dev-python/matplotlib/Manifest21
1 files changed, 9 insertions, 12 deletions
diff --git a/dev-python/matplotlib/Manifest b/dev-python/matplotlib/Manifest
index a8fd0998d803..0145f5d0346f 100644
--- a/dev-python/matplotlib/Manifest
+++ b/dev-python/matplotlib/Manifest
@@ -5,23 +5,20 @@ AUX matplotlib-0.91.2-gcc43.patch 293 RMD160 698bc92d149b5f271b5ad04b2dd4ae674c8
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 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_0.98.4.pdf 10654316 RMD160 8de6ffd75a72b2ba484a07f1e6b9222c5dbbb749 SHA1 1aaaa605ccc1321cb1df4dd039ec12bcf5118bf4 SHA256 48dde045de4e4a0c9689e81d79af657d7aaa845aceeac06b83ef60bbee5030b3
-DIST users_guide_0.98.5.pdf 9800498 RMD160 fd0c6e0b1927f2eedf93fa56ce87e0f21f162136 SHA1 d028665d5ed48ba70b6a2f1bf4b55710829e6416 SHA256 9827a48551c3667bde3403aef34b6c289e674ade346af6ead09a8a95758cf846
+DIST users_guide_0.98.5.2.pdf 11535372 RMD160 c780a8a9de94470cb052f1a2567235596a573213 SHA1 de266d7b609a1cbe4fd321a074914e06f1e361a9 SHA256 470522fba9e874dad3cf74b70393bae33ffd7b29d81b2e865e6964316a5f804d
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
-MISC ChangeLog 10492 RMD160 7fd80a8a11936e129f1f1f519a4a44d4a3499284 SHA1 f8026e78c3dbab80bbf23d238d9c20c2f06151f7 SHA256 247654cd174c8f77dcdbd8c0801ccf898e70ae0387d78408579df71b3fb7041b
-MISC metadata.xml 444 RMD160 cb8f621a40a15e3502f39427d1bc6f444d18db50 SHA1 b7bfc90fa1c27164482a298c9dcd83d4582c5df8 SHA256 d5f68bb842f76dca541f06e792eedd22b3367e7b05552f766686029cafd18e6b
+EBUILD matplotlib-0.98.3.ebuild 3280 RMD160 21e808cc0c01f56d050f002b4c6f3b7ea48a4b37 SHA1 d1ec13475a758029fe03cd7944f5f00d1776f690 SHA256 342f7020c6c0e3c8210dd1202c670c17b2a5fb20ce7f44f94c2645b9cd1ced7e
+EBUILD matplotlib-0.98.5.2.ebuild 3031 RMD160 747f71a20f0b1dfb6d4f1ef33224495b9cbaa47b SHA1 fabdd6f8f5ef6ca2fda0241f8c840eeefdadec82 SHA256 85bd7d8313b5ce60e86af054f75b4ae0946588856228af56d23653ff3f91b6e7
+MISC ChangeLog 10726 RMD160 810ac27dcbde45e15d30f1ac677a4edc801d477b SHA1 a7b42bb1aef28dcc2ecbe0d8ecbec6e92645a06d SHA256 ed933d86697872c1f4bcfe73e895fe6ef4bc6618239d1c1154db20b5a6f925be
+MISC metadata.xml 544 RMD160 3dca9d75ad5fd90b3ec0401d776c31aac22cd245 SHA1 d0202f9efac4ba3d73d77ba9c094221f238dc310 SHA256 97120a26c9c8cb4f807feb95594c9ddb3b39718f4a22361d08bba772c7289592
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