Parents (Total: 68)

The searched file hash is included in 68 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	36622
MD5	5EF9D7CC86A659D97FA25A96A7E72975
PackageDescription	extension for computing string similarities and edit distances 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.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-levenshtein
PackageSection	python
PackageVersion	0.12.0-2+b2
SHA-1	156D0C3EC243F11E82CA6755A45F0A6B35DE84A0
SHA-256	AF76A04DEF908CE1568794001670FA0A8E44581BDD1A8E59EA8FE3A6212E4917

Key	Value
SHA-1	193D4897A223717A11ACAB916F35D7F7421D95D1
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_22.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_22
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_22.snap

Key	Value
MD5	9FF91DCBC68BDF5A53625E5F4EA2A271
PackageArch	i586
PackageDescription	The Levenshtein Python 3 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.
PackageMaintainer	umeabot <umeabot>
PackageName	python3-levenshtein
PackageRelease	11.mga9
PackageVersion	0.12.0
SHA-1	1DF65C007CDFA24324A8A12BF0F9C429F033AD3F
SHA-256	15AB4EC6657BD2B5320826BB8840C8CEC8DABD1DE5CC41C996DFB16CA616B4B0

Key	Value
MD5	E523E5DA816FA51272462361F5498EFE
PackageArch	armv7hl
PackageDescription	The Levenshtein Python 3 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.
PackageMaintainer	umeabot <umeabot>
PackageName	python3-levenshtein
PackageRelease	8.mga8
PackageVersion	0.12.0
SHA-1	211186BD16B987F3FD1557B1959F998EDC02DC44
SHA-256	418222A3EAEBEC0292D091C8C2471FAC16B4A571FF0561DAC1DA4C672702DACE

Key	Value
MD5	F57B9F159F8CE81117280B78E07296C7
PackageArch	armv7hl
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.
PackageMaintainer	tv <tv>
PackageName	python-levenshtein
PackageRelease	5.mga7
PackageVersion	0.12.0
SHA-1	25ECEF2B9A4072E8DCD17768CF6C739051BD0C37
SHA-256	F9423D99CC997BF4E99B5DC738EE6C29B91A75F43D3CDC53890B6355B54A8AC9

Key	Value
FileSize	36736
MD5	D15928AA514881E585ACDD5C62B28AE2
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	0.12.2-1
SHA-1	267B46156D37EB81B019E4E0582890655BE640AF
SHA-256	3151A1FAA17B08B68512831F820381F9A9941A1878F8ABF0C881809FB75C888B

Key	Value
FileSize	37180
MD5	06135EB9473837952629DF2AA25CF99F
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	0.12.2-1
SHA-1	2956FEB1636D149690EA508E18C6ADCC4F773C10
SHA-256	4EF6A72839F3DE7944E23C8258359C9CBBE99D18CEE18D8C8B4FA303AC4444FC

Key	Value
MD5	CDE97E25720843EA65C674E4078AF289
PackageArch	armv7hl
PackageDescription	The Levenshtein Python 3 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.
PackageMaintainer	tv <tv>
PackageName	python3-levenshtein
PackageRelease	5.mga7
PackageVersion	0.12.0
SHA-1	2B0F34B6DBFB592691331EC0BCA1A58AC00BC126
SHA-256	5CC16603546B086586F16577D3310A9EA6E2BDE714F6816128D2DE60133A2ECE

Key	Value
FileSize	39092
MD5	84E6C5A8FFA4E92ADA49395E7B771414
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	0.12.2-1
SHA-1	356D7968732A42544E91A6FF750BB4CE6330687B
SHA-256	853C662EEF6C244AB035BEB4A657C047AD7DC0D81A28C62F48ECB477E2F549B1

Key	Value
FileSize	36292
MD5	E5D5A259082B04BA22D2A581156EF52C
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	0.12.2-2
SHA-1	38D61261C4D80778C6AF56D5D575801DEDC44A00
SHA-256	225A8205D338D082C62A606760015233C23FC99D3EC2BCCE33A60BFF0E46AC11