Parents (Total: 29)

The searched file hash is included in 29 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	197636
MD5	D18A22E9206ADB020A2734B88783F5E6
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	0.12.2-1
SHA-1	11498CB0D5E66EC047463E04637D628D6DC6306F
SHA-256	EE51A1352D67FFAB85074971021AE65D496A9B0BD274F3D39F7C40171C767225

Key	Value
FileSize	206612
MD5	59256723AD4FE64C60A2853636E1AC76
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	0.12.2-1
SHA-1	2466B4D8659C0A0FD44EAEEB0840FB13EF30C3C8
SHA-256	8783F8A4DF1830718EC0C830EC93BB524151A02B4CC1AAE20C1A9662DBD2F62B

Key	Value
FileSize	36736
MD5	D15928AA514881E585ACDD5C62B28AE2
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	0.12.2-1
SHA-1	267B46156D37EB81B019E4E0582890655BE640AF
SHA-256	3151A1FAA17B08B68512831F820381F9A9941A1878F8ABF0C881809FB75C888B

Key	Value
FileSize	37180
MD5	06135EB9473837952629DF2AA25CF99F
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	0.12.2-1
SHA-1	2956FEB1636D149690EA508E18C6ADCC4F773C10
SHA-256	4EF6A72839F3DE7944E23C8258359C9CBBE99D18CEE18D8C8B4FA303AC4444FC

Key	Value
FileSize	39092
MD5	84E6C5A8FFA4E92ADA49395E7B771414
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	0.12.2-1
SHA-1	356D7968732A42544E91A6FF750BB4CE6330687B
SHA-256	853C662EEF6C244AB035BEB4A657C047AD7DC0D81A28C62F48ECB477E2F549B1

Key	Value
FileSize	36292
MD5	E5D5A259082B04BA22D2A581156EF52C
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	0.12.2-2
SHA-1	38D61261C4D80778C6AF56D5D575801DEDC44A00
SHA-256	225A8205D338D082C62A606760015233C23FC99D3EC2BCCE33A60BFF0E46AC11

Key	Value
FileSize	36764
MD5	3AF69069A03E31FA81B067EA9ADEE83F
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	0.12.2-2
SHA-1	393DAD6EA68DED5965921ACBB0D236831DEFB62C
SHA-256	45AFB8A81DB7FC42A3D75A55E42C018936988CA5723DAE34D86565D1D3BBABCA

Key	Value
FileSize	199584
MD5	5956324ED48C0860749D9A1446D9677A
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	0.12.2-1
SHA-1	4108200FCDCBF51E155ADB069230544B8506D104
SHA-256	A45554FFFA0312BD4ACDA8BE2E767C56283ABFF7BE5B743FB342719AF247EC73

Key	Value
FileSize	37232
MD5	404AA36468F3FC0F1F0999387202CEF6
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	0.12.2-2
SHA-1	462E6E514DC2617D8ADF2DCE4E2F43D0136A6D7F
SHA-256	DB31F2B5ADC1D112BA2C709B3661F98BC9B4E4D22FDC3606B98B791E2C17BC54

Key	Value
FileSize	186980
MD5	FDE3178FB757A509F8F7E42041626BAE
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	0.12.2-1
SHA-1	4DC3AFF7526E544B21F1290A5A07FA0C2CB807A0
SHA-256	84273B60399DCA80E3285089CE905AAAB7D27A9D231EA1160AA9AAE771A22125