Result for 52C7D8BD460FEBBC3CA302C3B763B0F62195BDEF

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Parent (37)

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Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/Levenshtein/__init__.py
FileSize108
MD5AB07DD81BFB30D7585FD611715EB5E5E
SHA-152C7D8BD460FEBBC3CA302C3B763B0F62195BDEF
SHA-2562C19B8DA8BCAF7730C51BBB29B1545262D1E88148DBF281827CDEB961DF12999
SHA-512753C56AA7A6C9E524FEFAD8968B5E628A3C8A7808CECDFC3978B65EDE8F301E809D7D972EDCD8EDE4473235B5E519B7AC03CB866DDB4ADA31B18856AF7C514FD
SSDEEP3:1piNuIVKBsLIK4piNLAbIVKBlifw+qEn:1piNHigIJpiN0silifw+qE
TLSHT1CFB0090289FE785B11A78D6DBF2A003A623A04252BC10906BE5C9A2F5FBF0693C453DC
insert-timestamp1728980971.5646517
mimetypetext/x-python
sourcesnap:GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545
tar:gnameroot
tar:unameroot
hashlookup:parent-total37
hashlookup:trust100

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Parents (Total: 37)

The searched file hash is included in 37 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
SHA-10E30486CA56E3C544B896C850BCA53905AFEA633
snap-authoritycanonical
snap-filenameQntDb1wZjJJ5lizFjPIj3thQsvSpakI5_1253.snap
snap-idQntDb1wZjJJ5lizFjPIj3thQsvSpakI5_1253
snap-namesickgear
snap-publisher-idTVuZoFqNQjS3wXXJygU544vtBswXL4G8
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2018-10-23T20:02:32.692392Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/QntDb1wZjJJ5lizFjPIj3thQsvSpakI5_1253.snap
Key Value
SHA-12424E1E141CF8C6943E1340C6FACCFF69DDCCECA
snap-authoritycanonical
snap-filenameYuGM6A5PiJZR46tGEFTYNAmk3lSXZw2M_32.snap
snap-idYuGM6A5PiJZR46tGEFTYNAmk3lSXZw2M_32
snap-namelittle-brother-slave
snap-publisher-idTOcTjuLA5T5QYUNGfn0RxYIMS3bc0zRf
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2021-04-02T19:14:03.967862Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/YuGM6A5PiJZR46tGEFTYNAmk3lSXZw2M_32.snap
Key Value
FileSize36736
MD5D15928AA514881E585ACDD5C62B28AE2
PackageDescriptionextension 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein
PackageSectionpython
PackageVersion0.12.2-1
SHA-1267B46156D37EB81B019E4E0582890655BE640AF
SHA-2563151A1FAA17B08B68512831F820381F9A9941A1878F8ABF0C881809FB75C888B
Key Value
SHA-1292157E041EEFED03D084CF54918B5A4F487C2C8
snap-authoritycanonical
snap-filenameQntDb1wZjJJ5lizFjPIj3thQsvSpakI5_1265.snap
snap-idQntDb1wZjJJ5lizFjPIj3thQsvSpakI5_1265
snap-namesickgear
snap-publisher-idTVuZoFqNQjS3wXXJygU544vtBswXL4G8
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2018-10-23T20:02:32.692392Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/QntDb1wZjJJ5lizFjPIj3thQsvSpakI5_1265.snap
Key Value
FileSize37180
MD506135EB9473837952629DF2AA25CF99F
PackageDescriptionextension 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein
PackageSectionpython
PackageVersion0.12.2-1
SHA-12956FEB1636D149690EA508E18C6ADCC4F773C10
SHA-2564EF6A72839F3DE7944E23C8258359C9CBBE99D18CEE18D8C8B4FA303AC4444FC
Key Value
FileSize39092
MD584E6C5A8FFA4E92ADA49395E7B771414
PackageDescriptionextension 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein
PackageSectionpython
PackageVersion0.12.2-1
SHA-1356D7968732A42544E91A6FF750BB4CE6330687B
SHA-256853C662EEF6C244AB035BEB4A657C047AD7DC0D81A28C62F48ECB477E2F549B1
Key Value
FileSize36292
MD5E5D5A259082B04BA22D2A581156EF52C
PackageDescriptionextension 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein
PackageSectionpython
PackageVersion0.12.2-2
SHA-138D61261C4D80778C6AF56D5D575801DEDC44A00
SHA-256225A8205D338D082C62A606760015233C23FC99D3EC2BCCE33A60BFF0E46AC11
Key Value
FileSize36764
MD53AF69069A03E31FA81B067EA9ADEE83F
PackageDescriptionextension 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein
PackageSectionpython
PackageVersion0.12.2-2
SHA-1393DAD6EA68DED5965921ACBB0D236831DEFB62C
SHA-25645AFB8A81DB7FC42A3D75A55E42C018936988CA5723DAE34D86565D1D3BBABCA
Key Value
SHA-13B6AD89CFEF0985D47D32219EE2DAF42B24665EB
snap-authoritycanonical
snap-filenamevdxL0YLW0qGpgyJOyGbEjU8jthn7Gp1e_32.snap
snap-idvdxL0YLW0qGpgyJOyGbEjU8jthn7Gp1e_32
snap-namepdf-question-spacer
snap-publisher-idNnqLEHPcmh7QBYw77PemHQJ1J9oeC28T
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2022-03-10T18:19:35.738433Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/vdxL0YLW0qGpgyJOyGbEjU8jthn7Gp1e_32.snap
Key Value
SHA-13F4018ADBE947F255BA8171DC2EC271BC99D1DE9
snap-authoritycanonical
snap-filenameGhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545.snap
snap-idGhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545
snap-nametizonia
snap-publisher-idI8SNC3Y1QJo7083Qh0nD8vYiJrmVskv9
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2019-10-15T14:25:36.564707Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545.snap





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