DIST vector_quantize_pytorch-1.32.0.tar.gz 60730 BLAKE2B 1a3d437f5ca0e4ba0bb5ec535835b50235214b6b144bc8b8e7f7e9e8d363aad14cdb1691b4bcefd9b658b492226d6eeaa8989e18398f85a78a347763a6a20828 SHA512 29f2bc40075d9c65059ec96fcc5a4850a255a2015ff4a8e17b9fb8b6843f8080271fbac1a338d925855a2f3583c95f5d6b26d65f2383a5f2a4153990fbbc8282 EBUILD vector-quantize-pytorch-1.32.0.ebuild 921 BLAKE2B 99abfed6e8b9cb12828c9b8fd47fdf179b171aa0dafa7b933ceb7613fcbc436567a06ff802128f45a327c3c19693694ae2e92646db3539ca820edf13f94883eb SHA512 3c21b476ec65b4a0ec11e773a3e68513fc0ad1feaa2cc27a387659f02ceda4c508c7ac1a3ef50fdecbd7f7fc0626ceb935398c84d04c193e0559353ae6c8e8d6 MISC metadata.xml 412 BLAKE2B fb07f0710648f71a3d60e9f73c559780ff7271e370268723938332e40aa5a20696d54009e7d9d32dc125ea8da71185edc8c3dacd2d3510be50a53f063fe83107 SHA512 96009bad45989d580a33b93c7084058aedbeeec4f0e24d021de1f1256e1754e35709c1fe30e86c9829de349f89ca984b162e158c375dc8cf8b57cd883bd0ce16