Parents (Total: 50)

The searched file hash is included in 50 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	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
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
FileSize	188048
MD5	8C53D110B06EF9C4FE4980F98A4DB81F
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	0.12.0-3
SHA-1	1DC0B280C4D876A92ACAB67A4A4552084A893942
SHA-256	4FAFE0B7423D6C1B487B05C632552120B7ADE3639B05831039CC5B553238016D

Key	Value
FileSize	164720
MD5	708AA377D9565E016B7AACCFA063EC49
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	0.12.0-3
SHA-1	23F2CF7E75980D0815D08C73146929F6A26628BD
SHA-256	44148FB1C6E211C99C81F77A0BD7B84DE35F8B72B2EA4BD1AFB3CF716077E7E9

Key	Value
FileSize	181192
MD5	D84206E7BE619E889FB45DB51AAEE960
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	0.12.0-3
SHA-1	249F14BB2767BB5DF29D807DE352BF358E07EE74
SHA-256	FCC53F41B36468833E7081C50D613128C547553521D789432836A0E9C8ADFA74

Key	Value
FileSize	178532
MD5	4D5B793D9F6424DFE4364FC65932ED2B
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	0.12.0-3
SHA-1	2FBF3CF9F50C923C9CF8664F131A852D96189302
SHA-256	743C34CB2DD4FE0C753B2DFFC8395F9A127E08F03805F50B030B5886E1763B5B

Key	Value
FileSize	174764
MD5	E4F11E2952B4FACEC1621A4FFCC96CDD
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	0.12.0-3
SHA-1	30947878E141C98D29C19FC5BB747A07960BDBDD
SHA-256	AF91E43BDA37F9A99F9FBED7DB6195405D855FAD18FA49B532A5B65F210DACD5

Key	Value
FileSize	36100
MD5	6BE78C49F4F4EBA935F188B4E13F73CF
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	328A5F820400FB5398A09FBFBE787221C1172E9F
SHA-256	F8F9D2CD0C851D0AA8408739C011B9B39F0A2070618E99B4CE8CF8149A3C60ED

Key	Value
FileSize	32336
MD5	E3880A9D82A52909DD2364AC7EDD32A4
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	32B609CFC7162D33D1EBDE6F6F7F7F41C0F40246
SHA-256	E9A2606883BE00D249BEF73CC6845EEDA3E59C7814EA98C0835811BF7F859BCD