Result for BB5FF06C09EE425628E0995A5989DE426FA4EA30

Query result

Key Value
FileName./usr/lib/debug/usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-mips64el-linux-gnuabi64.so
FileSize207400
MD5FC0B10D03E0ECA1DC44E067E690D265C
SHA-1BB5FF06C09EE425628E0995A5989DE426FA4EA30
SHA-25618E4E9861DC5C71F646E26C092091CD77A268688ED7D093DB8CF87CD996B6B82
SSDEEP3072:DcNFAr2kCwT5E/cCavkd/2seRlXRsR4/Ay2:4NFAr23wTu/HAhs
TLSHT1EC14292797C08D0FD28103348CEF0B75AB76C9A97253E38FF7AA522A6CA134DED51594
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
FileSize113860
MD5BA263793FCAC96B04B1001C27C3A61FD
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-1D1E93735BC76CC0BC59BEE8AE49870BFD7F4766D
SHA-256590F5AD248DD30DE1375A42475C17D55C763B30A4956CC1F3EE41CBC1F417A3C