Key | Value |
---|---|
FileName | ./usr/share/doc/python-levenshtein/copyright |
FileSize | 734 |
MD5 | 7196F1718784C6BCE9C68779B89086EC |
SHA-1 | DA5F0203261F3C666456DDAD2D60B496F95C0D91 |
SHA-256 | 05510095AF4EE5293D09B071E218B59921F95E7E428CABEDF6B83080AF52E954 |
SSDEEP | 12:hVg/vnWjc25/7mzG48L5wRaVDl44eRjkJNyNwL17:0vnWj7mzZ8LWaY4eyJNyNw9 |
TLSH | T17401D05D492A477A9E60869BA5CDD097D1BCA35B002DC0A2B98C070DE02485676EF2C4 |
hashlookup:parent-total | 26 |
hashlookup:trust | 100 |
The searched file hash is included in 26 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 | 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 |
---|---|
FileSize | 40226 |
MD5 | 815DB4F6A3A10F342FC167FC29702513 |
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 | 1EA13709707A567B9ABBAF0BC630C478AEF3F97A |
SHA-256 | 1ADF10C566927455F5AE8146BE402E53799E71B71F20FB351B7116C1E4219C0A |
Key | Value |
---|---|
FileSize | 63318 |
MD5 | 58C11DE212FD056B26F7EDB9A7CEEB30 |
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 MOTU Developers <ubuntu-motu@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1ubuntu1 |
SHA-1 | 22932742EDDFDFD37D21839B5D4B480736A1CEA7 |
SHA-256 | 7860E8869D784E2B204F3ADD61F3FCB27A4FD0403FE88002ED2283FB6584C1A8 |
Key | Value |
---|---|
FileSize | 93394 |
MD5 | 6159D43F34033EAF05C3AC1606648874 |
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 MOTU Developers <ubuntu-motu@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1ubuntu1 |
SHA-1 | 31F3D763B673F0D1A9A17D03303420A311F71DF7 |
SHA-256 | 5B8C6CAE0D0898FF734D0F3521EC0C63C03D133FE0BF27EE2B7F363B9E61BFB5 |
Key | Value |
---|---|
FileSize | 38192 |
MD5 | 309D005A7CD51331AC207E70451CC488 |
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 MOTU Developers <ubuntu-motu@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1ubuntu2 |
SHA-1 | 3693AC0EF422ECFECD8395EC0D8F535EC3DB3008 |
SHA-256 | B3725B99D34D51A04BDA5C064F5E6C8C89E375304F0B0E1FCE4494582EE398FB |
Key | Value |
---|---|
FileSize | 38280 |
MD5 | A90E9B63C1706CAA84344FEA5E747040 |
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 | 0.10.1-1.1 |
SHA-1 | 370270C7DA0BBDD1E9E867A7E9FF7643E6FB192E |
SHA-256 | 1CFE7482A8E1B139B3B7FFCBB6F8D4A060EA7DF5AB93FAC7B3CBD82A93DB1F37 |
Key | Value |
---|---|
FileSize | 62324 |
MD5 | 525B492ECBB21F837135C74606011F73 |
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 MOTU Developers <ubuntu-motu@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.10.1-1ubuntu1 |
SHA-1 | 480C1EF3CCC9D7B11D75ADF5B4800C0E41B2BCB3 |
SHA-256 | DFD57B64ACDEBB2ABD41DB9960B45F0194085C6627FD8474F8C5C0B9F75A5FCC |
Key | Value |
---|---|
FileSize | 38170 |
MD5 | 981532A67A314C0EC87CA38BD41F2F42 |
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 | 0.10.1-1.1 |
SHA-1 | 5102525E247BB32477983CF1270382F77A34D9CC |
SHA-256 | ABB043E06D070BD5EF0F91B0676E1A5FB8FD6C9B0732E0C6260D4B742F8F0128 |