DIST matplotlib-1.4.3.tar.gz 49933525 SHA256 5b9544472d9d6ab3d47423bdb5a0e64fdf913e505c1c083f25283dd0362bc0b6 SHA512 51b0f58b2618b47b653e17e4f6b6a1215d3a3b0f1331ce3555cc7435e365d9c75693f289ce12fe3bf8f69fd57b663e545f0f1c2c94e81eaa661cac0689e125f5 WHIRLPOOL 160ca48ecb44db58f1c56bd6e89592c5d1badd8e434fc25d32aa6d4d7a346ae7c7444d1c8e0c2ca2bf5c3246fd56cd93856ec7b1e3e51f5e471b9b55a0f2c1ad
DIST matplotlib-1.5.3.tar.gz 51606089 SHA256 a0a5dc39f785014f2088fed2c6d2d129f0444f71afbb9c44f7bdf1b14d86ebbc SHA512 553be9f661a1923d8ec7504a11dd3317e5ffb429c19339c58047715f4c28358d6d2ac38d46bd27ecd1dcf7159f157aab80d90713fbc4071e2e395bbf11ee6385 WHIRLPOOL 7e2b0472bb7d913e78260da95c93c3243562e76352790318286e5d194f88ac05a9f51fa029a7b0ad17bbbbd0dc9658769fe6301b544ec03f1ab5c205835ea894
DIST matplotlib-2.0.2.tar.gz 53879938 SHA256 0ffbc44faa34a8b1704bc108c451ecf87988f900ef7ce757b8e2e84383121ff1 SHA512 39d68aee87fac2c246cdee7941ffaae1b8d586fa75c351bc94f963def66df32c3aba13fa0be94e1f8d21f06e068565b1a79c6d4f65589d8dd23cd48b32ab474f WHIRLPOOL 5ab8f9edb4591205d61bd47c5125520c0d24b8ce44e0041b99a5a0c692ffd3ff581cd6e092d18a64ddf6fb4f43ace6ee8c2bce19f5acd01d022d8a46e472b2df