Result for 0B560084516E3733E6A19637C2F86E311D0C09A9

Query result

Key Value
FileName./usr/lib/debug/usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-aarch64-linux-gnu.so
FileSize201352
MD508E9C610CC41A1EC43417A8801CB33F1
SHA-10B560084516E3733E6A19637C2F86E311D0C09A9
SHA-2566576DF676CF132EC31C71431560C0C3EF6DE5CEC33D76DA00C66772E095254AC
SSDEEP1536:0Xm3HL3BPhJQFW6HLefPx5Nc9PvhXii/8dg9DOdOaWRJIdr3JUUG:0X4rBvGvNXZOEaFL
TLSHT1A1145D35DB94CE0AC14247B04CFF07349F31C5997207AB1BE6A62420EDEA799EE9BC54
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
FileSize109950
MD5E2D30DDC6A80901EE1F7369D1ACFE790
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-1723115698137CDFC7FBC946E6EE87ADC01AD651F
SHA-256BD5EBD0C64CD8C238F58BDBF5280A3B99AF95F756093F73EC88DC219AC97E621