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