Parents (Total: 100)

The searched file hash is included in 100 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	CB75BC983635F8B43C5E9693DE0E63FE
PackageArch	aarch64
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	21.fc23
PackageVersion	0.10.1
SHA-1	011763D8A880AF18F17F6D356E50B730AD42D2A7
SHA-256	1E4D9375F4FA585209A4C4396E60CCA4C71D89B1E8515578F45AC0B830D582A8

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
MD5	CB5BC563FD27352823721B16BAB536F8
PackageArch	ppc64le
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	21.fc23
PackageVersion	0.10.1
SHA-1	064271A7921042CB3AC35A4D195A16953F8B33DA
SHA-256	CEA185E13865834CC62A19229CA75BC2C8F8C5E0B33B001815DA75C5F40371DA

Key	Value
MD5	120A081080D8A7075FB2F082664724FA
PackageArch	s390
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	16.fc19
PackageVersion	0.10.1
SHA-1	07A6EDEF33E49A55942A1B74EF3CB7C155AAA904
SHA-256	9D0E287D86F7D7562ACAF2B7CB998E9AF814F5536FA90517F2CD341CB29610AE

Key	Value
MD5	BDD175B581F977BA0A9FDFD6DA42D0C6
PackageArch	s390x
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	17.fc20
PackageVersion	0.10.1
SHA-1	0BC7863A7BA519EC132170623C53DD20C8FBCAA3
SHA-256	5EBEE105A0040A9E2873A0260772C6005A99D687031F7AFD373675EE5A5C07F4

Key	Value
MD5	A3887BC0F67AC06BE3EBD98CE204C7C9
PackageArch	ppc
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project <http://bugzilla.redhat.com/bugzilla>
PackageName	python-Levenshtein
PackageRelease	6.el4
PackageVersion	0.10.1
SHA-1	13FDB1A2D7F271B0124A80B496B869CF20D80406
SHA-256	A6F630B547198DC66E9EC29C324775580D5A2253143C17D879C3799B6F5E3C8D

Key	Value
MD5	0AE06FF6F68E38F0BB87BC79ACA5E389
PackageArch	s390
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project
PackageName	python-Levenshtein
PackageRelease	21.fc23
PackageVersion	0.10.1
SHA-1	17FD5BB35366C529DEB190CB8791E0677116584F
SHA-256	4377DD28D5724DD57EB50DC635271557B33DAD70E0848C0DCDB3BBB6BA9B22C9

Key	Value
FileSize	37320
MD5	E2CE8851EB919266254FCD0A3AF7F72E
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	0.10.1-1.1ubuntu1
SHA-1	19AFED28F63DAF8FBAF2C7228B843F30FD757474
SHA-256	110B966146F0A1A4BEEE22F4AF1E1C674796066D814CDF0C8069BA7288BFDEC5

Key	Value
MD5	E5C8A4716FA2BDE746E37166B091884F
PackageArch	ppc
PackageDescription	Levenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python library functions and methods.
PackageMaintainer	Fedora Project <http://bugzilla.redhat.com/bugzilla>
PackageName	python-Levenshtein
PackageRelease	6.el5
PackageVersion	0.10.1
SHA-1	1B8A7B1CF4E79757819C78A2AC23C1148AA35C66
SHA-256	8C46BAE4918A93DCE49C9FE2FB2A9B8E90A7BAD964B9FABBA26C005BC7110B15