Result for 13306DC6EF709C3B2C475E450B96119C299F6212

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/Levenshtein/_levenshtein.mips-linux-gnu.so
FileSize77596
MD57774FE1368EFE59BA1FEC6E1D7CB0240
SHA-113306DC6EF709C3B2C475E450B96119C299F6212
SHA-256D3714E05E0D5549A765DB9879BC19A21AF000BCD4610B9517B23CD313F462F5F
SSDEEP1536:HP7hI5TxDA7A/uV4Zar4j1iDIZ5UWUoZMugbyN:HTYbC4wna5PHgbm
TLSHT1A9734C2737008F9EF346C73096B3CE91AAA481E321E585AAD16DE3097E50D5D7137EE8
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
FileSize34498
MD5287A4C12D8AC220CE9DE56B65C9B1E08
PackageDescriptionextension for computing string similarities and edit distances 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-levenshtein
PackageSectionpython
PackageVersion0.12.0-2+b2
SHA-16B69DCDC32F2EF29BDE7DD271480AE1DC8510A4B
SHA-256C592C446ABB3C20D0AF17A83FCDDE0F1B5202D7E925A24EFCFE5049CBF39171A