20 lines
6.5 KiB
Text
20 lines
6.5 KiB
Text
AUX matplotlib-1.4.3-backport-GH5291-2462.patch 4810 BLAKE2B 2eb3148d1f5d13380afaca39a377af8f14619805684316f4dc9d8db8a518dc408277e381b8c42c554dd8c011357c7f3e516607ccae42074b413b921c1ec2f905 SHA512 06fb07f42d5a0e8c54e7f259bc0b8787a8caf25fa52c1d5a37a660c6e6df0fe6d93dc91367699d40d19b523c903c4be6a284403dc3eb93a4e68acc2e80329120
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AUX matplotlib-1.4.3-cross-compile-1.patch 1779 BLAKE2B 6d95661d0300976064cca5f21020d3642d65ecfdbc74458bcb9aa82ecef7490869be4b97110726431f52385ba967d09d28b0c7c040cc4b07997ef758c83dfc0e SHA512 6d2b57ae37df42b1d6c87501037f0dfe1ebf40dad9ea2bb35ff4b58cc1a3e580ad12add99c779966e764244d0bacf6ad922848bca568fc3329ead07c0b57826d
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AUX matplotlib-1.4.3-cross-compile-2.patch 2066 BLAKE2B edb86f5bf9c2d53a13d27fec7bfd35c9b51644662c548279c6e05f72d1c626625525d0600c89bc4e00827b3f1de777f76ac626f51bd448a4a0478cadb8bf6810 SHA512 d547b79d2a6f2dcca5105093faf9bc15208b1d28737d17a65d4ad716d74029d1a575d0c83b684e139d203f7b58a34a161a8e3968bfe1515f47c754b29117a824
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AUX matplotlib-1.4.3-cross-compile-3.patch 2202 BLAKE2B cac5953ba4d075d232f9e4514e6654fc8eefad7aab45141d6f9768a48c90020b62178a2b7754c74c4c53e4de40392e3d1c4a49c786ec5e8b735c82f627c23a58 SHA512 5c1a7579a2cd4e97f56485e0300d9dcc7c8871e99bd93e03113e68b95996960ece039a41203775afc2c627f0a2483f038e0e693c73efdacfbb85d47ae855b7b1
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AUX matplotlib-1.5.3-freetype-spurious-failure.patch 1061 BLAKE2B 04f31f3ac5f33b43d84e3df8011a7e17fefe5f11cb791968b8ab23e6d6f61b38d62738fd806f692b9f8e5b3b67444f9da2455c84ea5ba6affb46c7d77250786f SHA512 3cae61f9f6fcad1f2c8f47d7489a4ab54406118deaa8993b2a82c65bac8d21dc733f8c46b7f59d4a1961c643035b0b95d0c906f9388865e5036b12ff5abbbc32
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AUX matplotlib-2.0.2-freetype-spurious-failure.patch 1318 BLAKE2B 6cd2760c3428235f9c4881022a5e15ee4d03c17ecfdbd7b2afb0fdd6595c96fa9df3aad2a52bf2383cb8b07c8289fa5d4e90c518d863ec977e484baf4e768e73 SHA512 2c9de58cf652bb8eb95099410ecc7ea0229e06edefed5159470addfb6c76435ce1e5b682d5b6335fdcc4d522c6b8da1bac3c79046db984a20de8f58736796fba
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AUX matplotlib-2.0.2-nose-fixes.patch 586 BLAKE2B 5bab575f4f5f6f5d339a64bb581544f4a75c90db803f754123811bc5c2d45f725f396c697d0567aabdc8ba0aac66208bb3fa2f3430cfd2acbeddad2357d2ef7e SHA512 85056ca6bfc91317d44c157838e21902085efcbde688ac977b634916525f1787b7f370b2e19e957589d3872dc05987c13cd6b9b4aee0dbc5aa661a0bbd2990fd
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DIST matplotlib-1.4.3.tar.gz 49933525 SHA256 5b9544472d9d6ab3d47423bdb5a0e64fdf913e505c1c083f25283dd0362bc0b6 SHA512 51b0f58b2618b47b653e17e4f6b6a1215d3a3b0f1331ce3555cc7435e365d9c75693f289ce12fe3bf8f69fd57b663e545f0f1c2c94e81eaa661cac0689e125f5 WHIRLPOOL 160ca48ecb44db58f1c56bd6e89592c5d1badd8e434fc25d32aa6d4d7a346ae7c7444d1c8e0c2ca2bf5c3246fd56cd93856ec7b1e3e51f5e471b9b55a0f2c1ad
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DIST matplotlib-1.5.3.tar.gz 51606089 SHA256 a0a5dc39f785014f2088fed2c6d2d129f0444f71afbb9c44f7bdf1b14d86ebbc SHA512 553be9f661a1923d8ec7504a11dd3317e5ffb429c19339c58047715f4c28358d6d2ac38d46bd27ecd1dcf7159f157aab80d90713fbc4071e2e395bbf11ee6385 WHIRLPOOL 7e2b0472bb7d913e78260da95c93c3243562e76352790318286e5d194f88ac05a9f51fa029a7b0ad17bbbbd0dc9658769fe6301b544ec03f1ab5c205835ea894
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DIST matplotlib-2.0.2.tar.gz 53879938 SHA256 0ffbc44faa34a8b1704bc108c451ecf87988f900ef7ce757b8e2e84383121ff1 SHA512 39d68aee87fac2c246cdee7941ffaae1b8d586fa75c351bc94f963def66df32c3aba13fa0be94e1f8d21f06e068565b1a79c6d4f65589d8dd23cd48b32ab474f WHIRLPOOL 5ab8f9edb4591205d61bd47c5125520c0d24b8ce44e0041b99a5a0c692ffd3ff581cd6e092d18a64ddf6fb4f43ace6ee8c2bce19f5acd01d022d8a46e472b2df
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DIST matplotlib-2.1.0.tar.bz2 33051088 SHA256 0ab32ed55311dccdb42a488e1e7be5029695adf9219bc2b545ee0443dcf365c7 SHA512 872ff86e989b4e9352663f4abde1768aa05b1adea3e1b234efdb301429d421718314b27950e508d92df8fc9136764b07e8a6861b66512e9695a496993076bb5f WHIRLPOOL 0fb7d7e7e2b45ca6ae9ece32fa413f9c5b47fc59f64b877fad1f8becff4828a3be948f6433222008256c469b7760075c1d694b13ea771dfcd4193c2cda405aa6
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DIST matplotlib-2.1.0.tar.gz 35727251 SHA256 4b5f16c9cefde553ea79975305dcaa67c8e13d927b6e55aa14b4a8d867e25387 SHA512 8f512400f1f15d5400e23dd8e402783c54f62567d412863530a982c6513206d49fb91fadb3ef477648a4a38d6dd032eb90741ff4495d2be71911f83677d768b4 WHIRLPOOL 4795f3d49e3a624a22debe738cbe42ce3594c91880b3e6273f7ee05ecb7016353550cb39367f1edc6588d0e75d227d79f29af709e9471147171dd7ea5b6aa687
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EBUILD matplotlib-1.4.3.ebuild 6150 BLAKE2B ab34b10ad72a013c9ccae7c6b34b2f624169c44df8a149dde10a6fb5448f928bdfb107e39cc220b54c5460be1645d3bcbf8278a37b20f3906776aa0f2094b715 SHA512 9e6e415962ad4e3699bde4b2e9701ca9141a72bb7d1c9097e3bda541c2d618524eee7a64ddc22a13f2d228c2e32296a4d88592ffb6ecdb366c590f70e01a2b46
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EBUILD matplotlib-1.5.3-r1.ebuild 6411 BLAKE2B f47a928be47a5dc2ae273c604ef59ab11ae62645f4dc89e5c58c03d57c51684d2404d00774efe0a1b0f728211f66cc38f6490ac72780126b049f8743afc2d480 SHA512 2b82734df065dd850ab99e4a19ed8001c45f9f9a472c54b29930f2b2447b77a2b5b2538c75d8c940d1fc5ffa774ddcb85b065bca923e9a46c4feacab0c3764af
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EBUILD matplotlib-1.5.3-r2.ebuild 6559 BLAKE2B 8dc8a2c7a3b209e2d140e07ee028408ea58a22dc78bcc7c4fee30a88064246a45a855c475628d2c686bc141beb9de3b46908705c416e34d1e26a95688903ad5a SHA512 00b3fc17023fa04a4e7dc35e3c5752f0e4b16ca1edd21138448ea9e44d843762b7111a018b002fea762b6c6914f1171d72054da52427572c25d87f1c2157c537
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EBUILD matplotlib-2.0.2.ebuild 6182 BLAKE2B b8cb2c989aea9c05c299ed75eaf8e8cf2ee149c1685c004675041d5e98107764a917d25108ebb92fa321442828f380e95016e13f5b779131c042b23a521893f4 SHA512 ab6b634f44041f3dc17615acece6bd8066842c42203a28bad2dca4923ac3ea969eb57354f59aac417f575aaee2c6d2f77ec0384dab08ee6776106d7971078f66
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EBUILD matplotlib-2.1.0-r1.ebuild 6047 BLAKE2B 21a9b0036c9df905a788168d1a76a433d95076ada0df4bcb570c53fd9a552ab6dfdd549c3bf40e59b2f794d196493426037e45fa7be9ab0a810651d674221399 SHA512 1c3cab34e2208430f6053195f28798b90fcafe594116589d454c71ddc465ca444747b9c7b79c3452c8947a87d9549c5bfcf50120e9093cbe8acbd2320bcf0d0b
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EBUILD matplotlib-2.1.0.ebuild 6071 BLAKE2B 854eaebd793e652c2a3cec839b8e020998a0e76da165de5e820e3c3553da90252f823ab71368e40435dfa4ff51bbb1dfc2728a8e887a1012b6fb2984288e2af4 SHA512 fe2f89b32566e3dc4574aa950a059b4083692c064424bab96ba732baa58449366504401366815be64b981be5eafa9957c14c4f57ba9b1c0a76a2eb96acbdf404
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EBUILD matplotlib-9999.ebuild 6396 BLAKE2B e1e7d6415cadc503db5796a8aba507aa6a94f8acb7e529caeac9d71537570293d75293b607d20a33b94a7352fdcec0e2c1de8d6302f981a1cb15d15585991951 SHA512 1a6406602fabea4b12911a89d34e69fed7b418c3127dac5679ebfe706e144aa62c93f3aa19ca832d75fdff0b4f2c5e5029a92ed3e1a8fa6bd61973cedf5504cc
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MISC metadata.xml 1063 BLAKE2B 396b976a60c89ae2b6bb9d365a8234663994f561a99ac0d59385a15245ae245fc09cdb6626b79a63cae53651c39d2df97ea8825016be0ec3bce7d6ad60cd15d5 SHA512 25344a9f8d7ae73f1ec9f493cef17925c94fc4cd44486a9928debbd18ba53010455393e3e97fc70e67a9afae9d6c15b12688af16e5e9f7e090748481969eac4d
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