Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	34190
MD5	69ECE438A4954C4498F944AD77F74763
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	0.11.2-2
SHA-1	019226F2A12B194B6096027D259FAAF4012265CF
SHA-256	704BE1921C44820D88B34FE64721BBBC795CACAB52D2A8C8CA143D484EC86B8A

Key	Value
FileSize	32532
MD5	FCABB8DFA99980A870DEE9E8D550C7B3
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	0.11.2-2
SHA-1	0A97463A0AB8E4AEF227EF898807FD9418B603C9
SHA-256	7A882E3C87DBAB0EC96BB3EF26C56393C1A57603F96E3A321CC7815BB8B88531

Key	Value
FileSize	75554
MD5	7C20DC43DE143587D830C45542DEEDA5
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	0.11.2-2
SHA-1	2236123C02F99AC6CB2FF3DDA166D92E8F9E7284
SHA-256	3A583146F13AD62C9F60798310E044461D0FD285EB64A906031F8AA8ED9969A2

Key	Value
FileSize	90074
MD5	4122D82B63654A1A708B3E16FAAA9009
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	0.11.2-2
SHA-1	33C483A9B9B99432730F806630A3D390C1702D60
SHA-256	CB0F02954B301E2E0319DE3556C66611D4C81F29E008E50E46EE9E853E9AB677

Key	Value
FileSize	30280
MD5	3D0C6585F09C306BE5AEBBE2E7D4BFE7
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	0.11.2-2
SHA-1	46B677DB50766A4AB16B3601DF8D75E5C9DB38DB
SHA-256	93A98833EFCE6828775D13ED138DAF79B943E881EAC37259BD05C3DCD54C5000

Key	Value
FileSize	87992
MD5	8B72FDB86A0F16855AB655D64F1AADCA
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	0.11.2-2
SHA-1	901B76A872BBFAEEB2C0900A4D79CA464CA0040A
SHA-256	3CCCC30550E9B590D6AD9A7A4289DC0440903FD689599F96DE20F026A8A6502F

Key	Value
FileSize	78598
MD5	3EA5556526E9DE84BC5DAD8747651797
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	0.11.2-2
SHA-1	A3AB2BA124FCADE5150B2624ADFE0585E4148EF0
SHA-256	B06FC8F9525914CF2F238A0024A822D0F63F240E6772BB957EEAE1A812E4E8AD

Key	Value
FileSize	85872
MD5	1E78AD9BAF7C86E9C6418401F4EE3B57
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	0.11.2-2
SHA-1	A3E787A498263CAFCD66BC5ED02030A13D270DB1
SHA-256	292CD46F0710C120126408FD5A6AE850C36E3227729D15A3F446A04F5B0C0D65

Key	Value
FileSize	87508
MD5	397D4A1320508C45EA09A79EBCA4D311
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	0.11.2-2
SHA-1	BCBE5E4A2093E2A455964312D09BC610EBEB93E6
SHA-256	FE83CFDF875020E11D3FD837C18B92C09FDE8239EB6402AE4A7581BA7B539252

Key	Value
FileSize	34310
MD5	C3664FB2257DF4B9D1A914AC17A9AA1C
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	0.11.2-2
SHA-1	BD86849E63453DA3CC403724150782FFAA3D7337
SHA-256	99C9D2FB97897DE6B677FABE5937E9FEAA94B228C1A5FE6FF04519AF6D71CE1B