Result for B9E9E9E0EDF30DDB68EACDE04AE3DE20D39872F7

Query result

Key Value
FileName./usr/lib/debug/.build-id/f6/a42b1fd15c912b2823fab4616efa1373357922.debug
FileSize87564
MD5CEADAAA6952DAD58D22F6ED297E43DBE
SHA-1B9E9E9E0EDF30DDB68EACDE04AE3DE20D39872F7
SHA-256F45467721B7BBAA49D2DE5A37B651AFEE88369294468FB4079709EEEE5937097
SSDEEP1536:lBsrrGvZVkNxBX/twQlS5J4q0qTr5Qh0Vh6seW5cxvXveiC7WI44lhR1DIU:k+vZUxBtwlr4q0qP5086qq9f0W4lr1D
TLSHT16883F15B8A9C9D02D49D28F9CDBFD4337AB14DF8AA9683670329F0681B4B3161760FD4
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
FileSize186980
MD5FDE3178FB757A509F8F7E42041626BAE
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-14DC3AFF7526E544B21F1290A5A07FA0C2CB807A0
SHA-25684273B60399DCA80E3285089CE905AAAB7D27A9D231EA1160AA9AAE771A22125