Parents (Total: 4)

The searched file hash is included in 4 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
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	87768
MD5	5E731C3D5443BACC91705FB0B2248CC7
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	F4ADC165AB317CC9F4558C3EFDE60AFD96E7630A
SHA-256	34AB6E5ECA4E56E8122592DE821BF01404F007D8C8EE21004A501F5B07C32E89

Key	Value
FileSize	34178
MD5	AFEF6946734F4EBE58F64CBE04A6190C
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	400660F523BACD0A3D22D9887DA84AC929853B11
SHA-256	56FF7C4FF1DEA128D69BD0993FD30218C45E7DBE769A4D8A78D17D216C4C384A