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	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	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	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
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	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	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
FileSize	84162
MD5	6548B0C5318893B08546D411A54E9DA3
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	16312BFF7832DDDB68401A23FDAAE06116BDB44D
SHA-256	5E48920B8FEC686A77C3BAD5B3E92CDF64FB7ECB94D520414C21B0FF37D15188

Key	Value
FileSize	28318
MD5	EB35D4F1A19CA33817ABA951070C8E46
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	16F6044DCB7D6D82FB8A3457F56D1F70A5FA3142
SHA-256	9159DEAD7B312C0CF21991A5BBE87373C28A4A65DBF6A032D8E8D65A061B4D32

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