DIST pytorchltr-0.2.1.tar.gz 143979 BLAKE2B 7a1a75eb23a45fa2bba9624cc8cde585f754cc289435cffb66c1c567c64add32c9471ba12706b7e3fd69d87421e02e9714b19fe74d38e71ff8e4d8d7e0231432 SHA512 09b6bf71d3eb8e46f6579ea2a8ea68ded6e9c2f06f5ae07354aa35d434691901fa9ecc424a3cfcdfd52516659142a0b0faa626155a5b0c2ef2bb8a8281fb2e6c
EBUILD pytorchltr-0.2.1.ebuild 813 BLAKE2B 51e166ef41a085441e13537149577723135973f831ae6e0c2b6b7f762f6d4424d22607c9d80d4b69e94c519b269f2e9c960ee2df5bba93ad189f9aedb09efc47 SHA512 71eff72d1e3b7dd4dabf81e7a2a746bc0bb00dbffedd4af02d838660ee473cd67ce15cc0bd2ca3771e6f416d611adbe03efe1aa3137da3b45c6004999ba04b5e
MISC metadata.xml 250 BLAKE2B 2c1826692a57fc34172d2287536917d1bed0eab294a590a769caf13b71f79727ca1cbd7b2fbb6ba65164e477be04d1ba1f029d1441d11167c7282e47b47eb8d8 SHA512 6705fbef3cc4702ae20e4ffcffa99663fc11e3fb3eee7d95f1c86096e07e2a0a7f74ae91f8ef242034593d50078dbaa4018673a9ed49581886be49522e5829f3