Result for 5C7E2ABCAF266A13E22792DBE54A018131B4260D

Query result

Key Value
FileName./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35dm-aarch64-linux-gnu.so
FileSize254216
MD5B2009AB6EC935854CD3AE73B0066147D
SHA-15C7E2ABCAF266A13E22792DBE54A018131B4260D
SHA-256182636DFAAE9B35FB6CC6175043B2E455595FFEECB9362272829634A7EC315B2
SSDEEP3072:QCXoEfTCxO51kn0kWTBi8ALRjMaDbFd1SYEhbfIJP/yBbBumA33lv7wYFHmYA6pe:1o4SO51knr3NzDb7yONnAz
TLSHT1AD443B39BB4C980AC3415335CDAB0732BB35D4A4728A9F1B8A0841546FD779AECFBC64
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