Result for 40FF6EBE5DEF2224D3CDFEB8DC16A590537F2ABB

Query result

Key Value
FileName./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35dm-mips-linux-gnu.so
FileSize233048
MD5B8DC43E63348738A4DBB5845F3E3192A
SHA-140FF6EBE5DEF2224D3CDFEB8DC16A590537F2ABB
SHA-2562059E85E3E7D4521157D2DB467DDC29AF96D438C27D2D9A8E8FA5D6BB451EDD7
SSDEEP3072:IbwE2PgDKrzHgbs8ILoXEfyAvoAionL37a71qQy5:I8E2PgDKr0g8IkXSoAioL37IIQO
TLSHT150341827F7206F19F070C7B589F34324A7D276D336A09BF2817CD665BA6024C5B4EAA4
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
FileSize107924
MD596EB2B0444C86A78B100C7E17380720C
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-1C4C1E13F453A5C52C5012C74BC3AB7F8ECE99494
SHA-256D96C00B01D1150759737975A14C80F49D15D089D2D7BAD2606FE57B30C6436CB