blob: b8d2f5462f1dc4eb97835437c7a79e8ae3fc223a (
plain)
1
2
3
4
5
6
|
AUX scikit-optimize-0.9.0-numpy-1.24.patch 892 BLAKE2B c06e68b47aa051546ede619ef5cb910b15ae2eb4f8b3a79058759ad6d7b0f29fe357670e2b6ec46d519e5e5dd1dce934336eee2dceec11cde471ed99d569049b SHA512 0d8d037b8a27e44709b27780f49089c17273d43bb90b102e62427c8847e3cd2b0020379e072c525540a3316d6fa7af0e9566880cb9826531213dda96cdded972
AUX scikit-optimize-0.9.0-scikit-learn-1.2.0.patch 5047 BLAKE2B eb393b5a3f82478da2d58997dc0a8521a8c3f37c3de05df76d583b9bb6f0d18a149f14b90cc885cacd458c0aeb7e8de55cd1accfe8f16f85491423005fbc8830 SHA512 b501680cf6722ec60fea590f9ea966767108411c22b0ded6f3eb15e5f29d95e57f1f8842e91815b08403fb1e27424cbb2bcfc343ff7e5641a075e1217d8fb19e
DIST scikit-optimize-0.9.0.tar.gz 275570 BLAKE2B ab481bf1cfc2b8c7cff213ae0ce2fa937de8f6269b491cf63ae115eea5c936c8a5c26b7fb339fa6cd2927c5105068635c008d6dc8b3f99b4b5d3abfed1a1c5a2 SHA512 a4c1bd589686dbbabcc5de38a4eb581c040cc2c3f83bc250ddcbe66314f03fc68b7b12d7679049da34c42445b446e1af3873f7ce90bec2a5361f0077ff3e9b74
EBUILD scikit-optimize-0.9.0-r1.ebuild 1072 BLAKE2B 22c2666059968510416e9b3b8323829cddcc7107d94ba52e54ef5984b676f558067d103e75cc3741346c2f6e465700c061dd4eb8de0075b4f745166195a44323 SHA512 a5705395464c4c000ea9ef8a6fa917de831eb8d4339eabd7e7ef6073d737366c57e3c2a0db60051362107c3d5de89c3877aa5a36597d6a92c37d1dbf2bdc6beb
EBUILD scikit-optimize-0.9.0.ebuild 810 BLAKE2B 4547d60f4efbb1a35da5b878ee2de8ba956dbb84ddad8d23f8deb9c61b9b47221aa169b42b96d582c6aca9ffdb8027ea99d1631704cc90aa458a45e5e166b73d SHA512 8c31bc0322d7ba807a3cf09a59d33b877e043cbf8be6aa841165166a8729d25b68e507a8525b51e47c617a74316e79bb1213a7e80db96c7f160cd3dcd835ebcd
MISC metadata.xml 415 BLAKE2B 3bfa58da8f117a7b62399a17e5259dbfb0e74b9b9acd16e4515bcceaafc2928733f047f229c58bc437907cddf3b8a93c9576a9645e0c910129900072bed94aff SHA512 6343c76ca9a28f321c3fd8c94dfbb912f305ce43025ab6d666ed0aa5a496f08f258e1ab4e11c14844baa3c04c63a43c1d79bc8067a0d02a4eccf0e37c0c686f7
|
