Key | Value |
---|---|
FileName | ./usr/share/doc/python3-levenshtein/changelog.Debian.gz |
FileSize | 1948 |
MD5 | 21DA476B432EB09172A10BF4B92C8C4C |
SHA-1 | D80CD65AA00249B0168D87B10C97CB7020AFB5E9 |
SHA-256 | A2536C57B68FE2DDE3C2869B213A95477B44A0F308CD4FB8F40A5367C21B0316 |
SSDEEP | 48:XJHDvPEH/42KurWB1nlD/GiyJ3wbO6yzTGkVcYnr4ktp5Bcd:ZDPEHdKjTlbfO00rD/Bcd |
TLSH | T1B541280238AA5891E007A8B8BE48C46C9E9F0CB9FDF745614C13F7EB08824C87D562E9 |
hashlookup:parent-total | 9 |
hashlookup:trust | 95 |
The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 34816 |
MD5 | CE2871E1BBFD9A93B380F0EEA6C3357F |
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 | F879A97648810D93D2D40BFD2F8E7E3EFBDA1813 |
SHA-256 | BCF9576DE346C375A044246300301010E538C7B35A8A16C5D8F64C596FCD8651 |
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 | 40788 |
MD5 | 6A64815B368BDEBF44DD85AE0BC4051B |
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 | 7A63258015825C8BDACFFD4BD306901CB693643A |
SHA-256 | 00B53167C94A91904802D9CAEDED9C817327E845338990DF82A74F7FD6C9D3CD |
Key | Value |
---|---|
FileSize | 43696 |
MD5 | 308050A8CA2817D0E45BF26FBBF8815C |
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 | A4E404EF78098D5C663CEB562B2DCBED133AF778 |
SHA-256 | 145671E8A5E88A35D4FAC2D21FEF35803DD0517282938B5D5905A5E9730AD7B0 |
Key | Value |
---|---|
FileSize | 36172 |
MD5 | 8623B8877F4E5AF6BEA6D635C9D6D856 |
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 | ADA5A751F7C3A7733F7985AD5A25CFC671C58B43 |
SHA-256 | CC33FE3A1502A03911FE10A69DB6DC698600D29C6867FE6EF3789E4F0101E0A3 |
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 | 36616 |
MD5 | F1C9ADF9F590A3BF2E66E44613F31294 |
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 | 7A929BBA2D5343DD6896D17A144C04F4AA004561 |
SHA-256 | D5EE0AB6BFEFCFE03AB5F148A57C49BC0B905D179CAB534AC6ADEBF005B2C355 |
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 | 39104 |
MD5 | 9B43BED6AC351DBDCFC7D44213022FC0 |
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 | 5F0D6254F9940E178061779A68E1FB04B553C41D |
SHA-256 | CC7DE6E9506399E901D99F85F8D12B257B739CC9E7A46AE7A15AF3B684C99EAF |