Result for EC9C1BB25352B58EA13D98E7BD683458342905F4

Query result

Key Value
FileName./usr/lib/debug/.build-id/58/a38ed93c97af83686c74fb804032bfa5141aa3.debug
FileSize95080
MD5EE3A9D3DD55DA5F2ED2ABF0CCECD9E15
SHA-1EC9C1BB25352B58EA13D98E7BD683458342905F4
SHA-2560EEDD1B60CB5F29016C7082F7B5889C6E47555970B86A51E1DFFFFF96DCA00A5
SSDEEP1536:TKklxXeE7LjgDZO8YoTruRid9iXO//0PaxX1oKTPWfGPSw25wU:Tje2kDZOaTruOl//rxX1jWea
TLSHT15A93027556EAC41FC49C2F32F6EBBAB7B721F8C592E04723035081770A63B54AE166C2
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
FileSize206612
MD559256723AD4FE64C60A2853636E1AC76
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
PackageVersion0.12.2-1
SHA-12466B4D8659C0A0FD44EAEEB0840FB13EF30C3C8
SHA-2568783F8A4DF1830718EC0C830EC93BB524151A02B4CC1AAE20C1A9662DBD2F62B