Parents (Total: 80)

The searched file hash is included in 80 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	88006
MD5	962059BB1B63B8C0247F0808F5240F45
PackageDescription	extension for computing string similarities and edit distances(py3k debug ext) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python 3 debug interpreter.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-levenshtein-dbg
PackageSection	debug
PackageVersion	0.11.2-1build1
SHA-1	00D2F3B5406A60CCE308165A1228ED3C19B4A779
SHA-256	897E51C27D0FD20CF8EB25204C4B321E45DB0EFC4171FBB3C8CD69BC4DCEE407

Key	Value
FileSize	34190
MD5	69ECE438A4954C4498F944AD77F74763
PackageDescription	extension for computing string similarities and edit distances (Python 3) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains Levenshtein for Python 3.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein
PackageSection	python
PackageVersion	0.11.2-2
SHA-1	019226F2A12B194B6096027D259FAAF4012265CF
SHA-256	704BE1921C44820D88B34FE64721BBBC795CACAB52D2A8C8CA143D484EC86B8A

Key	Value
FileSize	91436
MD5	D0D8568D13EE46255DDCF70B921B2A64
PackageDescription	extension for computing string similarities and edit distances(debug extension) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python debug interpreter.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-levenshtein-dbg
PackageSection	debug
PackageVersion	0.12.0-2+b2
SHA-1	01B1528D40E36E4CE35196CFA30AAE9E953E93E2
SHA-256	E46BE053911EC730BD5DD82EA9EA77B17E09DFF2C5CECF3EEC35F3538F338A1F

Key	Value
FileSize	31536
MD5	9BABBC0AB4C67E634FA7DBFDFF2585FA
PackageDescription	extension for computing string similarities and edit distances (Python 3) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains Levenshtein for Python 3.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-levenshtein
PackageSection	python
PackageVersion	0.11.2-1build1
SHA-1	01C5194B1547F7EB48D004D4617EE8F38CFE78C2
SHA-256	807BB9F069E9DD1A3C6136C2E3BF9E803D6E76A57B6035D24B008E6860BAFE65

Key	Value
FileSize	113790
MD5	63A4242B103A548952FB10E142C7D75D
PackageDescription	extension for computing string similarities and edit distances(py3k debug ext) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python 3 debug interpreter.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein-dbg
PackageSection	debug
PackageVersion	0.12.0-2+b2
SHA-1	0855F5D09D4879528F078FD6A92826EDC7F61FC6
SHA-256	6817BBC0C2488A98F3DD263E8F4DEA4BCD791E0826A79152FB2EED6AA1CD1B55

Key	Value
FileSize	87856
MD5	54C9EF7C4EB040548ABA8E666F3B26A2
PackageDescription	extension for computing string similarities and edit distances(debug extension) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python debug interpreter.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-levenshtein-dbg
PackageSection	debug
PackageVersion	0.12.0-2+b2
SHA-1	087525C29455AA8FEF021743AF06D7B381B0F3C1
SHA-256	DD14C21FBBEE3CDAB0BC0F78AB1238CE48934C0F8DEFA1F8A5CC94235A1F6196

Key	Value
FileSize	32532
MD5	FCABB8DFA99980A870DEE9E8D550C7B3
PackageDescription	extension for computing string similarities and edit distances (Python 3) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains Levenshtein for Python 3.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein
PackageSection	python
PackageVersion	0.11.2-2
SHA-1	0A97463A0AB8E4AEF227EF898807FD9418B603C9
SHA-256	7A882E3C87DBAB0EC96BB3EF26C56393C1A57603F96E3A321CC7815BB8B88531

Key	Value
FileSize	31904
MD5	5DC1DF57E7D488C0CC433C8C3D289A58
PackageDescription	extension for computing string similarities and edit distances (Python 3) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains Levenshtein for Python 3.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein
PackageSection	python
PackageVersion	0.12.0-2+b2
SHA-1	0B1738CD5A40302C80A96C9822989E5592E92A6D
SHA-256	85C9C4D03C80AF553B48E1E0A54FBD219882B000F2F4F53508D8F3B09E3987EF

Key	Value
FileSize	84406
MD5	1054E48DA0228841BB3F18E67A9D986C
PackageDescription	extension for computing string similarities and edit distances(debug extension) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python debug interpreter.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-levenshtein-dbg
PackageSection	debug
PackageVersion	0.11.2-1build1
SHA-1	0FE1C78666C895F75EA4CB9035AF3B70B6131D2B
SHA-256	1BD09098AFE182428B083EEB3165379B36E9E85A4EDF2C9F3E6438CB94877989

Key	Value
FileSize	33450
MD5	5A35A43324851B0BE0E157C459FB02CF
PackageDescription	extension for computing string similarities and edit distances (Python 3) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains Levenshtein for Python 3.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-levenshtein
PackageSection	python
PackageVersion	0.12.0-2build3
SHA-1	109466AD1EB6F5FED1F9320C4093F87566C4143F
SHA-256	CE66FA2DEDB322441B94379A0FE235FD68C52935DBCAF214265453C79F47CFC4