Parents (Total: 266)

The searched file hash is included in 266 parent files which include package known and seen by metalookup. A sample is included below:

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
MD5	AF8605DE25FFCA1351F744489A960BEA
PackageArch	noarch
PackageDescription	Soaplib is an easy to use python library for writing and calling soap web services. Webservices written with soaplib are simple, lightweight, work well with other SOAP implementations, and can be deployed as WSGI applications.
PackageMaintainer	Fedora Project
PackageName	python-soaplib
PackageRelease	10.fc21
PackageVersion	0.8.1
SHA-1	03A86B61216DD8C060A71478CF5FE10F9B2EAF0D
SHA-256	D426F4629ABF6475D09B35FB4345EA7D2A64DE3E671040262ACEC23E6EF19E57

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	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

Key	Value
MD5	8680E8DD2A928BD161E274CA49D98B90
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 3 library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python3-Levenshtein
PackageRelease	17.fc34
PackageVersion	0.12.0
SHA-1	0AB4125184119E93B7B423B763A773C2345E2E01
SHA-256	89FF9DE0853F13A1347C7D03D2FCA976C3B21CB961022D4AA2AA823FDD87D715

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