DIST matplotlib-1.4.3.tar.gz 49933525 SHA256 5b9544472d9d6ab3d47423bdb5a0e64fdf913e505c1c083f25283dd0362bc0b6 SHA512 51b0f58b2618b47b653e17e4f6b6a1215d3a3b0f1331ce3555cc7435e365d9c75693f289ce12fe3bf8f69fd57b663e545f0f1c2c94e81eaa661cac0689e125f5 WHIRLPOOL 160ca48ecb44db58f1c56bd6e89592c5d1badd8e434fc25d32aa6d4d7a346ae7c7444d1c8e0c2ca2bf5c3246fd56cd93856ec7b1e3e51f5e471b9b55a0f2c1ad
DIST matplotlib-1.5.0.tar.gz 53962448 SHA256 67b08b1650a00a6317d94b76a30a47320087e5244920604c5462188cba0c2646 SHA512 559a3ef031ca65b431157f0dd50f7d81f2d854f92150ee2b9de5e44b31d49615bfdc049a682667bc2e1399b8cd724dfcefec8f4de7e92848fe5756f93ddef5fa WHIRLPOOL b30a7299dd0690cd0355883cbe7d335d76314bab85f5b67b326b0e600b479db3cd5e7f48e9e68d3604832e9605f5025c70ff0006b1980b945aeaf22f78e3469f
DIST matplotlib-1.5.1.tar.gz 54031672 SHA256 3ab8d968eac602145642d0db63dd8d67c85e9a5444ce0e2ecb2a8fedc7224d40 SHA512 a0e78b5027a3a49cf8e77dc0d26f5f380dcd80f7b309b6121199acd5e1d94f48482864a9eee3bd397f7ac6f07fe1d3c21bf517217df3c72e8e3d105b7c2ae58e WHIRLPOOL 5d56b1e17542d01ea58cbe6a085fae930dd71dac793260fd418633d1364ab7822d5a0ef16041260637f2472b1d9276c002f84603ab655573b7d8058d959475cd
DIST matplotlib-1.5.3.tar.gz 51606089 SHA256 a0a5dc39f785014f2088fed2c6d2d129f0444f71afbb9c44f7bdf1b14d86ebbc SHA512 553be9f661a1923d8ec7504a11dd3317e5ffb429c19339c58047715f4c28358d6d2ac38d46bd27ecd1dcf7159f157aab80d90713fbc4071e2e395bbf11ee6385 WHIRLPOOL 7e2b0472bb7d913e78260da95c93c3243562e76352790318286e5d194f88ac05a9f51fa029a7b0ad17bbbbd0dc9658769fe6301b544ec03f1ab5c205835ea894