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	71206
MD5	D5105716D2D04C7A2976FFA98635CE03
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-levenshtein
PackageSection	python
PackageVersion	0.10.1-1.1build1
SHA-1	032A97ACA5A725FEAD02BDFB09E315EC8667BDC2
SHA-256	206949A3DB518950C24AB3AA270710C2047F0D892719CCBADAE8D7DE83FFC02C

Key	Value
FileSize	61756
MD5	03FC256C329C4A704F8EE23B8EF94DC9
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-levenshtein
PackageSection	python
PackageVersion	0.10.1-1.1build1
SHA-1	052C264CAFEE0585D7384D43FDE00B709430E792
SHA-256	139747CA9C8501A2DD0167687770A2BA525DCFB22635965648408C8E153F21D1

Key	Value
FileSize	65552
MD5	ABE9EF324159931C1F9AAF311BD69FA4
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-levenshtein
PackageSection	python
PackageVersion	0.10.1-1.1build1
SHA-1	F0C759399C07554B399CE821A3B00A58E5B1C55F
SHA-256	5B6A1BFCDD5DC8D264E0C4C1A897A5EBC720218D1CA3C7B6C4555F2FBFB6BE27

Key	Value
FileSize	68270
MD5	4D27B447DA155D1170652940F132C0B1
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-levenshtein
PackageSection	python
PackageVersion	0.10.1-1.1build1
SHA-1	EEDC7A91E2EF67A750D7CFE9F9F35812B9A0136E
SHA-256	D9EFCDC4D5C12C41E4ED8B75E1670406FBD146DA1B9EBF352CB5717BF1BAC32B