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AUX matplotlib-1.4.3-backport-GH5291-2462.patch 4810 BLAKE2B 2eb3148d1f5d13380afaca39a377af8f14619805684316f4dc9d8db8a518dc408277e381b8c42c554dd8c011357c7f3e516607ccae42074b413b921c1ec2f905 SHA512 06fb07f42d5a0e8c54e7f259bc0b8787a8caf25fa52c1d5a37a660c6e6df0fe6d93dc91367699d40d19b523c903c4be6a284403dc3eb93a4e68acc2e80329120
AUX matplotlib-1.4.3-cross-compile-1.patch 1779 BLAKE2B 6d95661d0300976064cca5f21020d3642d65ecfdbc74458bcb9aa82ecef7490869be4b97110726431f52385ba967d09d28b0c7c040cc4b07997ef758c83dfc0e SHA512 6d2b57ae37df42b1d6c87501037f0dfe1ebf40dad9ea2bb35ff4b58cc1a3e580ad12add99c779966e764244d0bacf6ad922848bca568fc3329ead07c0b57826d
AUX matplotlib-1.4.3-cross-compile-2.patch 2066 BLAKE2B edb86f5bf9c2d53a13d27fec7bfd35c9b51644662c548279c6e05f72d1c626625525d0600c89bc4e00827b3f1de777f76ac626f51bd448a4a0478cadb8bf6810 SHA512 d547b79d2a6f2dcca5105093faf9bc15208b1d28737d17a65d4ad716d74029d1a575d0c83b684e139d203f7b58a34a161a8e3968bfe1515f47c754b29117a824
AUX matplotlib-1.4.3-cross-compile-3.patch 2202 BLAKE2B cac5953ba4d075d232f9e4514e6654fc8eefad7aab45141d6f9768a48c90020b62178a2b7754c74c4c53e4de40392e3d1c4a49c786ec5e8b735c82f627c23a58 SHA512 5c1a7579a2cd4e97f56485e0300d9dcc7c8871e99bd93e03113e68b95996960ece039a41203775afc2c627f0a2483f038e0e693c73efdacfbb85d47ae855b7b1
DIST matplotlib-1.4.3.tar.gz 49933525 BLAKE2B 40ea29ef7197d364f9caea63904b11231a4f74ca93184de8b1f8c7f78713cf887ea8a6fbee1b3f545c895eb353e0eeb5d65308657a3138986fb080ac44164427 SHA512 51b0f58b2618b47b653e17e4f6b6a1215d3a3b0f1331ce3555cc7435e365d9c75693f289ce12fe3bf8f69fd57b663e545f0f1c2c94e81eaa661cac0689e125f5
DIST matplotlib-2.1.0.tar.bz2 33051088 BLAKE2B 6a97909a44ca37c3ec09a9e723909bb0169828e56daeec5711220a6caac632d19e77ef2fc042a61cb82760c9750d04753654761a707b6265a038af9c55b91bd7 SHA512 872ff86e989b4e9352663f4abde1768aa05b1adea3e1b234efdb301429d421718314b27950e508d92df8fc9136764b07e8a6861b66512e9695a496993076bb5f
EBUILD matplotlib-1.4.3.ebuild 6150 BLAKE2B ab34b10ad72a013c9ccae7c6b34b2f624169c44df8a149dde10a6fb5448f928bdfb107e39cc220b54c5460be1645d3bcbf8278a37b20f3906776aa0f2094b715 SHA512 9e6e415962ad4e3699bde4b2e9701ca9141a72bb7d1c9097e3bda541c2d618524eee7a64ddc22a13f2d228c2e32296a4d88592ffb6ecdb366c590f70e01a2b46
EBUILD matplotlib-2.1.0-r1.ebuild 6173 BLAKE2B 45bda87d10e48cb942e015b518deb5476f40c64ec79a7acca3366f49d70da8036068353a3766d094e00b8108718a8aa67c34cfaa4ab37f2151322c73d8520896 SHA512 e40659b624f307e591c32f9b9f2e9aa181e8a3bdeff45535be07141b4f2657b066ded21de0adea3cdf18903cdb86882aa425a79432a4d906982de776171561c1
EBUILD matplotlib-9999.ebuild 6396 BLAKE2B e1e7d6415cadc503db5796a8aba507aa6a94f8acb7e529caeac9d71537570293d75293b607d20a33b94a7352fdcec0e2c1de8d6302f981a1cb15d15585991951 SHA512 1a6406602fabea4b12911a89d34e69fed7b418c3127dac5679ebfe706e144aa62c93f3aa19ca832d75fdff0b4f2c5e5029a92ed3e1a8fa6bd61973cedf5504cc
MISC metadata.xml 1063 BLAKE2B 396b976a60c89ae2b6bb9d365a8234663994f561a99ac0d59385a15245ae245fc09cdb6626b79a63cae53651c39d2df97ea8825016be0ec3bce7d6ad60cd15d5 SHA512 25344a9f8d7ae73f1ec9f493cef17925c94fc4cd44486a9928debbd18ba53010455393e3e97fc70e67a9afae9d6c15b12688af16e5e9f7e090748481969eac4d
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