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20 lines
7.1 KiB
20 lines
7.1 KiB
AUX matplotlib-1.0.1-libpng15.patch 2393 SHA256 fd6721b37b6de66b5d11804137a7040ad9bc4edcadfd1397b9afbe570e7c58c7 SHA512 608bf5ef86c5671dd472629224256e2b0ece9cd5f57fb1b5467e30fdd9c483aa74a53e62292c25fd5cfcb496c11b46465c199cd77906147a894d403ee179c7ba WHIRLPOOL df7d75efc0da51f8d19f84698d40ef4ac7dd311b24e45223fd016677165da9252c9ae502655c9207f12eaade1f578921aadd570c0e4b1d686e4adcbf5d2ce8b8
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AUX matplotlib-1.0.1-linux3.patch 985 SHA256 2487d4b599a0b52ebccdc79a30365aa4ad56a2cb5fd8d5d3f8cfb167780bb380 SHA512 d4cb8152c5383434730b5145df8f2e845ff85e7ce22e64034d2c721ca38d8293fb3be3d7d94b555e97c6b3027003928ddfd62075f58baaedc055a3100ec32d8a WHIRLPOOL 3a0b689e630bd5bc0542b67afa341fdfa5890d73b966cfe40f100c3fbb17d400886f98d23140af9789296b7b58cbb4d279af4371169df8ddeaf8aa16ff070e66
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AUX matplotlib-1.0.1-sphinx.patch 3441 SHA256 4396ca43e125a08cc113d8cf0fc5fe57fac063b3c1d0da6b66e8d60ca9d19345 SHA512 044d0087eab9138067a4ad7a3b25f67d70c143ea7910df2708ba8540985280e6fcbb33e9f27ef79457f7965ba5d3bf62a00827c2e225e2c3edc912d4abf8454a WHIRLPOOL b91291da20ee1b78b7a834daf25519b39f0ab988a4301a0329bea933eb0779bf4d44a9d41ad0c795ebeba027fbb9bddd61e8407a7601725b457667023a92ad86
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AUX matplotlib-1.1.1-ft-refcount.patch 1849 SHA256 4368439bce9f956ffad3cf4551103e077e433761a2d20976d9d45c2b3a84838a SHA512 6e596e7c0d2d37b4d878d36c42f33272f22ba0c25e80b8038b08ec3793d15d3d2ff88c4777fd12d36fd277374d1a1fc78424f1e6c7ccabc29230e8205cdf4d06 WHIRLPOOL 435527651c7eb3e1cf1ae5d66d8e09783564e4a53bb6aa84f7c65467a04f615ea4285c428074b97c87455f09789ffe9937436c324231379e720ec28f9ce30306
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AUX matplotlib-1.2.0-ft-refcount.patch 1474 SHA256 53ac19eb195afc55173aee7617ebf2b7ca44e93943ee3713e9e62a1d959828b1 SHA512 9195c3046c6d2673d748f1864bfcf3fb6851260cd94f05ebf5241089d4c3b17af6f0dfc52875aa914d51ef79512ba686cc040958e2b4d6892a6a11a19c35b162 WHIRLPOOL ec1303427385fc697edff451576a7d5261a39e8134807be1a8a257077296d5171adf870826e8a0c96313c014e7f698cbed8c21a67a887d4479e33402842e07ea
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AUX matplotlib-1.2.0-setup.patch 1283 SHA256 e078b2385dc0b882a7df1a13df070ad5ec704e9e18df2f19bd642c7ae40e8a97 SHA512 8741bd303f5483daf971120c5ae6f35ca568128481ab5b98a94a0391afb0f8802c8b885675d13bf8bfbfbfe650bf33c6330195adc87b54278839032f9d15ebb8 WHIRLPOOL eeb0db8a14f33ccfe82ab677c27f92456dd8255b9c0d352d1496b5ab1f9336e643698435d96b6ff2a3657445737105eb060158014001cd0cc3d894c391111ce9
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DIST matplotlib-1.0.1.tar.gz 13285166 SHA256 83bc6377373b3f34b18eac1883c27f3f381f5c9b9c422b4d85c91e217a947af6 SHA512 20f8987be1cabbb2c10a8f4e34884f7bb5132c923ffe0217e6c847017975112dd6818e725772ebcd04cdfca6a8957ae9d52c116890115b2128f91364b6206331 WHIRLPOOL bcfab3944c0cdb604e90e1639e8a6fc0509557b25dd3fe1c48060fdc464c974b9ab8ac080552809903641b9b512c3cacbdfc79dbb28700def732b06cde6cec3e
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DIST matplotlib-1.1.0.tar.gz 35842643 SHA256 be37e1d86c65ecacae6683f8805e051e9904e5f2e02bf2b7a34262c46a6d06a7 SHA512 f5ab95c29ef6958096970265a6079f0eb8c43a500924346c4a6c6eb89d9110eeeb6c34a53715e71240e82ded2b76a7b8d5a9b05a07baa000b2926718264ad8ff WHIRLPOOL 1d3c7f0bd8662a0581fc0ba2f1f526933a1e4e0ad17341101ed3ad1efcd9bfb182b876b3bc03d4992cf064d1b17cbea9b6eedf610000c25261a03b5748e23612
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DIST matplotlib-1.1.1.tar.gz 33704843 SHA256 63b275eb8d98903264557ffbd6ec0fee2c31b5badb3678fce1ac7044594620ab SHA512 838977c1f57f9cfd10a3cd8935a5640bca25135b2176cb83286f309d57690cca7d6ec78c552c04067b3ded10f0358b92bb2387c018ecdb38ac30f661c4a67588 WHIRLPOOL d0fcc5a7f4d54c12a5b227b78b3977bb6822a61cf50f17d057458dab616ca293201d78e3ec5f1cb8722ee8a262ae2a252cb967a6bf24f7803841fb24831c4a96
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DIST matplotlib-1.2.0.tar.gz 36893347 SHA256 48fdb3b8f27010bc81ccf3925032768d499f82be979d9b6edccc4e2cced4dcaf SHA512 5b1a0fb52dcb21ca5f0ab71c8a49550e1e8cf633552ec6598dc43f0b32c03422bf5af65b30118c163231ecdddfd40846909336f16da318959106076e80a3fad0 WHIRLPOOL 586001ebb8e03bba9c83d30cc875db564d8c7091e086e343a8221123f2ccb3252110a3e2962045ba3a7bddc0b1362fba375f3138f8ae50dcc25338f60c8bf4a0
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DIST matplotlib-sampledata.tar.bz2 1013421 SHA256 0a9d45f1e5f31bee1e6efeb453775153d0553b721971830d6c1657a8d9640a3e SHA512 2ca518bdd3a053f0119199c80120cd348ae8d4fdaf5ce6f09606229a6644d0ce9d0cddf13cb0021179b211439f3cbb42db51a802497be2c8ac3482e042c5c99c WHIRLPOOL 581828e041982dbc6162256849b10fa8b4139e6aa7e88a29461147702f00ec5e3b86ac1f72f82a6255b8285fd5197cb794f46836ecd3e519ec1416c7853b8d94
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DIST mpl_sampledata-1.1.0.tar.gz 874730 SHA256 eee173eaf9bd42bc57fb1bcff7044a184da85e6ea1262c1a7d1fdc2e303e78d8 SHA512 7dac7c8a653c11934db3e5a7782c9c444cc037a32fa378d2a65184c3b7ecd7db98f9469068670447359b7e98ac30341973643f267582df0206e183663def401b WHIRLPOOL ce5b2e05c7f9a400fbd276c229b7fb38a8ec5a3f6c4dcaad7f119520f666ce71bb903dadfa61a24e2e85efa2ade034fa95b65edd1e22d18ef7305ed9755ff9d8
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EBUILD matplotlib-1.0.1-r1.ebuild 6292 SHA256 67d4a2aaa6fbaef77ca88349df8ad46df33fe1e533d29888e2aecbc8b1559321 SHA512 cd199aed014356b7dc9db23a87a7d069828ef4beaa9da184fe4f002b188c1203c0dd53f605a1bdca73bc6ad42e1a036d1649eb6bb1067c4948528a08e1a6bd4d WHIRLPOOL c4fd2bd2e1c74526711e9b2aff68c3349a588a49b1d79b9a0aed41447a786d1ec84b5afb5bca9c54a0a89cc42e414ff7e8236cfc8ae5a670c8e06518c0046bb8
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EBUILD matplotlib-1.1.0.ebuild 6075 SHA256 41750b66d04b52867b89a5f7fed0557a1aadf8a90343341ed02c6f651d80d09f SHA512 0de873ca4a890b957c30049445b5fe2e7a2b214d35525b5a79e6d065743dc4cf0ff52f088607cdc10fd9c6780b46dba8978160d67f640b775878e09ea212355f WHIRLPOOL 16ffb8f75dce4d6cf6fa948d74a570d4241f9a73a93d7f416b25ac8eed38afc17c502db75ad2c69d21bcf40ea3c50626210c03f7ca29478859af280e7c788aac
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EBUILD matplotlib-1.1.1.ebuild 4191 SHA256 1288534a42a00a0a7c3e4ac9f3aba549664c30539cc17742313c98e490537982 SHA512 265c33d65ff2477c9652769212d522c5458f7e0d7bc0edcc962d2e8907bbbc67a380e6fce8b81ff1cc810e26aa7316a3d92bf98702327ff1dc7b6000f88dedad WHIRLPOOL d2b1c7444d2bf91b0cfc2e0fb8f68435afa72d474aa226e32e3cf32574af60861eda2ea91c5b7669e0c2b101b15b98482e20cd5570ccb833b036337fd834f9d0
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EBUILD matplotlib-1.2.0-r1.ebuild 4820 SHA256 48431a4471dda9cb0569925946cd286132ed9d90e6f016b5ead69ecb58f270b3 SHA512 63b6cee0592215c9a526edd2b2debf8f1e959105445a2fa171c82bbcb1a6a274939f0d9116faa4337c019e070de6589d2ec3d5f1b306994f961fd50dcbc6475a WHIRLPOOL 86a34f2f486a1fabc1c99ce3e8e95d36b04d32b46915b7f355568c423134ff3445bf631d970d6cbf4da6cd2f3a69147bfc195b60857ebeb0b9abb7b03058c1f3
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EBUILD matplotlib-1.2.0.ebuild 4494 SHA256 5148cba28775da8f72d90c0a607990b4704c6434422bc70031025762fecb10df SHA512 30ba8b1183def5393d5c3c62ef9331676c2596968355ed6e425486fdfe8f0b404bf842817ce5a3bd11c4e91ff50b5b4b1b019b4e7cf5d21448bcdb4b251c8b17 WHIRLPOOL a6dbe1c72988cf706789accdf6a5da371dafdc7327305bce2d0c18f72271620636cc7e086f528d9c3199a0548ceeab9d22aa2e8bfa24de1c9d28a8aaa801512a
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MISC ChangeLog 25420 SHA256 421b0699ca6e31d77dc6d85cd7d2302724040d3ca343663d60fe669d96ad0f86 SHA512 f315332762a3f9434ca67585e1a2c6ac60c2e5f2d79271a6da414ae5faee7636a652d1bc5e856182703f2d3fc5ea54f4281b9c2b71b21e124f138c5377b14da9 WHIRLPOOL 0a06fae8926e07bee65b2c6598fbe56391864ed625a41416ec735c4e7c7ca3df69fdad0296a7f1c1d7bf46cd7056fdf2ec19a68f934ff73ec052a37c40377aa5
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MISC metadata.xml 749 SHA256 bee498e0f0fa8027a0f595f13be0afc74de258a0edd37c3b9558288ff91947c9 SHA512 01240fca5a9cc970e2356c7161564bb86d0d4c14e423c3636761579dae9557a5ab1ffe02f1c5067cb43b921b2465e75fdd47ec2d0ad3068b3c8476ae10f19c93 WHIRLPOOL 16153e391b7ab2277af9fa56f576afd17106d56c90e78c3a2a510c6a7eb1f8e2656cedad6071bfea392700c39f36314c4b2d811a63830f249506c77a339fe285
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