blob: a73396a88671bf2e5148f837337b108d27d0c5ea [file] [log] [blame]
DIST matplotlib-1.4.2.tar.gz 50139344 SHA256 17a3c7154f152d8dfed1f37517c0a8c5db6ade4f6334f684989c36dab84ddb54 SHA512 3525f4e6414042fabf8d18ce9041d61197465dc07c766730c187a512277907ba33f56d49d5a468d82f65bce57217e8eb48ecfa143e55152a15607b79a7b25adc WHIRLPOOL ce6e5a15676b939bda7ad1be0f27766314f60ed44ebfba1e73d2c3d00a31d5492722cde73f943de72da038772519068602e60c830af9ffdf52710a24ce98fe7a
DIST matplotlib-1.4.3.tar.gz 49933525 SHA256 5b9544472d9d6ab3d47423bdb5a0e64fdf913e505c1c083f25283dd0362bc0b6 SHA512 51b0f58b2618b47b653e17e4f6b6a1215d3a3b0f1331ce3555cc7435e365d9c75693f289ce12fe3bf8f69fd57b663e545f0f1c2c94e81eaa661cac0689e125f5 WHIRLPOOL 160ca48ecb44db58f1c56bd6e89592c5d1badd8e434fc25d32aa6d4d7a346ae7c7444d1c8e0c2ca2bf5c3246fd56cd93856ec7b1e3e51f5e471b9b55a0f2c1ad