AUX genextdoc.py 7029 BLAKE2B 0d4b2c1110838696e1bbe7ef07b30d4bed04955da3451717558ed5a290ed5d1270a0fbea188f21098109f429979995e9548baedc3b9282e33e6703f03390861c SHA512 f03a6628e982da094d40e14d63cc2d233677d78ca1ad0dd0817bc69176d8d4374c2a0caa94a4d0891ba3b7ab14cbbad1b530319984df990176e151d79331b906
DIST python-Levenshtein-0.11.2.tar.gz 45458 BLAKE2B 073871d18a2b02ba31be51af49ec907ffdf6c390f90e965c0710b5d3462f15238620e6a25b64b5fd19b922074493beec7753a0719714d893c5257eaf753aa4c0 SHA512 67d701e841c9a846948a1f2c70ea06c6473e3ae1437f73df2a2747d576024889a12e00c4a61e95b6c14826554b1ebaf65375cf5be4f26df3b208568403192bf3
DIST python-Levenshtein-0.12.0.tar.gz 48617 BLAKE2B 67a720f2a76152b008bce86405b4f15f14f203e55c09931f83624c85199626582dcbc255ace914e103e7cd459c8570b0ea0c0d69abfd2c314aa488cb235583a4 SHA512 95df064490970618b003bccbef9071b1a2a3ee4645ac8e851f4205bd4e8123d21ee0ee733adfeec79085faa01ba39902e2a4a26bfb21b70678377579157df4a5
EBUILD python-levenshtein-0.11.2.ebuild 1076 BLAKE2B cb7726ffb6b733d3c3c3924fe47f39f77583abf0f75409d68fc6dd684e4f2c6e38756adafb54f240be857d548cf1d41b0e119694022013c07ad002fa76a81dd9 SHA512 6ce0eeeabc79ed2e5d219d62bf28172a9ca70bbf94fd995dcc2d227758d820407cb98a187904827514c963951956c09a4476113b9e5b3165c0417da9cf076e25
EBUILD python-levenshtein-0.12.0.ebuild 1087 BLAKE2B 7b13fcf20b801b7b3837e1622b78a2eb300bb8de0f57b8dac4e5f3be805d095a76b9897b345a454788ca8ac64dff7da24961e47cb831de4819eb2dc5db0b684a SHA512 9ab0faf53eaf053abcc6a7132b9f63f9b83f894d10f27f30302106d2af0dbe4e434fab4869a1c17a69a4a6c7313cd77c09b18bf8197664e0c81e09c5bbd12f8c
MISC metadata.xml 400 BLAKE2B 6cb97d53cfebfe6960f5adb6b1b10fef856a0944456e89d1f6ade86d8cf8183aa4acc33cbd4829c35a46158b6955a1454ce7143b5cd5538375ad4ab08ebf3097 SHA512 bdda13940bb23190d6d7c43f69d77a231413dbdfd81de5e35568da70e4ab2bc9906cab76890e78da7b1789a376c44658e476ba7c0a4822e7a97b0f37ce36f0f4