DIST pytorchcv-0.0.73.tar.gz 411631 BLAKE2B 557d0ce5a41e75f9fbdd9fb943580b553e50eef917ded4dad76c6139d252bb38691f44b81e659df4fe144e12e3ab526dfd1b3afc17e3b4d23eebfdd317382e2f SHA512 5341e1dc466b7e35a6d7b0309bcc8ccbf8f432ebbfe14de8881dc6efd382f0170335ac4d9da0c76adac3501d8d2255154d93e3384494a069595cb8e32b632537
DIST pytorchcv-0.0.74-py3-none-any.whl 585202 BLAKE2B 151095a26ab2bb09489bd6b78443e93f2c29c62745b7270bee49f6cffcf9ed01d0abc8cf798a2d8e5e77b0934360c62055c8995e9c32fa9318aa8b86f3b3d1ae SHA512 c72c2b5792641f0cfc42058186bcd2cdbe275447885ec773a3648b4363f69d319c09be04051d490c706c4c44b3fe248e718ba04acdabe851a52ebc2a08c1d3c5
EBUILD pytorchcv-0.0.73.ebuild 831 BLAKE2B 654a27d17b94d778c1879e26f4ab3adc6de0bf2d835d219d3c2483293b7999e66e82abc00e1d45f490ceb3e1e490fc6ee63a657a009d0c416e36d1b0a7399a28 SHA512 2c9b8c980bf7fb60aee608cc681c4a66b3c4c74e6d5cc0feb18410755935a019379d8caf6bdffd524924ddfc7cf2e579f6ea95b65589fbf1845990794fc08982
MISC metadata.xml 250 BLAKE2B 2c1826692a57fc34172d2287536917d1bed0eab294a590a769caf13b71f79727ca1cbd7b2fbb6ba65164e477be04d1ba1f029d1441d11167c7282e47b47eb8d8 SHA512 6705fbef3cc4702ae20e4ffcffa99663fc11e3fb3eee7d95f1c86096e07e2a0a7f74ae91f8ef242034593d50078dbaa4018673a9ed49581886be49522e5829f3