Result for 939A817AAEE6365B827E36A12803FC0F06D028F4

Query result

Key Value
FileName./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35dm-mips64el-linux-gnuabi64.so
FileSize297616
MD5E7DA7B515BF1A5960ED24690E00D108A
SHA-1939A817AAEE6365B827E36A12803FC0F06D028F4
SHA-2560590E101D3DFBA13B3B2DB70B76F86C5B56F9D394BFAA36A7D666A5E51732265
SSDEEP3072:bNJmexyqkN6VJb5/MsI6oNA4zoALQbquRIaUqh4JyvNAjvdZWQZLf4JpeNcgXmn+:J5Tb5/8NhfqRu5NLQzeNzS
TLSHT1B454F855A3326F5ACD42927088EB273AA3F8D6416B53DF439E0BCF59ADBA2CC4D31444
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize113860
MD5BA263793FCAC96B04B1001C27C3A61FD
PackageDescriptionextension 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein-dbg
PackageSectiondebug
PackageVersion0.12.0-2+b2
SHA-1D1E93735BC76CC0BC59BEE8AE49870BFD7F4766D
SHA-256590F5AD248DD30DE1375A42475C17D55C763B30A4956CC1F3EE41CBC1F417A3C