Parents (Total: 299)

The searched file hash is included in 299 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	CB75BC983635F8B43C5E9693DE0E63FE
PackageArch	aarch64
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	21.fc23
PackageVersion	0.10.1
SHA-1	011763D8A880AF18F17F6D356E50B730AD42D2A7
SHA-256	1E4D9375F4FA585209A4C4396E60CCA4C71D89B1E8515578F45AC0B830D582A8

Key	Value
FileSize	37744
MD5	849310B3366BB2713FD66F7DFE1CE2D7
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	0.12.0-3
SHA-1	01450F9B98D8AB65EAF6F27705E88730ECB0E81B
SHA-256	FBB46412DFA34E9BC631921840032E2B48640F581D01565127D1620573C77313

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	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	34644
MD5	6B58742CD0A892E3EB475EB59799E1DE
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	0.12.0-3
SHA-1	05A0264E4E9CDC7F3E67BDD1BEA9600D9EB889DF
SHA-256	A3203BE745FCD620A25FCAEACDB1AC658B0A51F5011411A1E6C7487141269C9F

Key	Value
MD5	CB5BC563FD27352823721B16BAB536F8
PackageArch	ppc64le
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	21.fc23
PackageVersion	0.10.1
SHA-1	064271A7921042CB3AC35A4D195A16953F8B33DA
SHA-256	CEA185E13865834CC62A19229CA75BC2C8F8C5E0B33B001815DA75C5F40371DA

Key	Value
MD5	120A081080D8A7075FB2F082664724FA
PackageArch	s390
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	16.fc19
PackageVersion	0.10.1
SHA-1	07A6EDEF33E49A55942A1B74EF3CB7C155AAA904
SHA-256	9D0E287D86F7D7562ACAF2B7CB998E9AF814F5536FA90517F2CD341CB29610AE

Key	Value
MD5	4A8758DFD3D2D8BE5E66DBDEF7C46250
PackageArch	s390x
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python 3 library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python3-Levenshtein
PackageRelease	11.el8
PackageVersion	0.12.0
SHA-1	0803D130C061F59FADB13D8F4C5F005A82E62A5B
SHA-256	216068217378BCB894D64D0145DF02F28290AE9FECD05E17FD07C4DADFE760E5

Key	Value
MD5	E8DC592CCDA3B6BC58C667688ED69846
PackageArch	x86_64
PackageDescription	The Levenshtein Python C extension module contains functions for fast computation of * Levenshtein (edit) distance, and edit operations * string similarity * approximate median strings, and generally string averaging * string sequence and set similarity It supports both normal and Unicode strings.
PackageName	python3-Levenshtein
PackageRelease	5.20
PackageVersion	0.12.0
SHA-1	08CA58F095CFA8227BF46A8AC79B970A2FD33D82
SHA-256	0CAF06E1550D574E7F5DA6C48C553ADF04DA025B7B6BEEF4BD338CC01030AEFD

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