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	31220
MD5	C61E56BD3B4E12D360A300A04F113932
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	4544BA7EECC87711099D290492A7145C24E0074A
SHA-256	1B76F5A365ED403BD6A874CBA53A11ED42B2163718784DB7D83CBE30DAB5CF54

Key	Value
FileSize	33786
MD5	825CF3AB0DA35B4182C50F94E5EA91C9
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	77CDDC483D1EFA7A064D7C3B059DA164C6B5ABE4
SHA-256	805B2AF22717DE053040243DEF4B6BF646DA3D0B0C5C9C3964DB819AA1DA4A1B

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	113502
MD5	8070C7E12CBE4D10AC9F0BD69126C5D2
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	EFA464D1B69A5DA82EE812E3A58BF3EB47E142E1
SHA-256	F9AE220338A132ED1566C747DC0B4867FE6BE9370D7C47A199D05363FBCDCD7C