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	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	36332
MD5	1390CDCF21B987A0E9669C9FE7C80338
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	F08B3E1D98E7258A937D91F62A67E273BFDD32B1
SHA-256	BCEBCA1894437819DC7B9F1500A08A66B0F821B86E7551012A3E304C726890A0

Key	Value
FileSize	33738
MD5	A41FB2A0365B3B6F8CC52936301EC1C3
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	355AC25BCA9E5D429B2A2345688D2ED429666488
SHA-256	445E5104CF237D6FC2E0EE3E0AF67CCF023161BD937FB236368DD7B6FD80DB72

Key	Value
FileSize	118444
MD5	40367763592E030F9CC10AABD11FA9B5
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	F69C6E88A96818E6B21D3AB689D6FDE5979C0DA1
SHA-256	475344B34353402A849669DE8ABD0481E1A16C22E6552604A3FAE53A1A4E7FA8