Result for 3D7C4EC7D2A2F679FA5ECC449AE8FD0A35F92B9D

Query result

Key Value
FileName./usr/lib/debug/usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.s390x-linux-gnu.so
FileSize190672
MD5661F9C4271B41F0519B59F74BA4A75B0
SHA-13D7C4EC7D2A2F679FA5ECC449AE8FD0A35F92B9D
SHA-256C8128D51EC47567F46BDCA074A754B8A34937F54122DC8455410DC7CB186773F
SSDEEP1536:ZCrJQb84naPGbqWAWa6lUAYJggwHwKWZsPdah6m/RQGGy5Qq0/gR+wOTRRS4LGrW:ZCrJQSMCL1hPgyiq0/pwOTR0UGr/jbZ
TLSHT18B142A30D202C6CEFDD66238EEFF4735E7302911B251A2D187AF99361423B69EF15989
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
FileSize87768
MD55E731C3D5443BACC91705FB0B2248CC7
PackageDescriptionextension for computing string similarities and edit distances(debug extension) 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 debug interpreter.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-levenshtein-dbg
PackageSectiondebug
PackageVersion0.12.0-2+b2
SHA-1F4ADC165AB317CC9F4558C3EFDE60AFD96E7630A
SHA-25634AB6E5ECA4E56E8122592DE821BF01404F007D8C8EE21004A501F5B07C32E89