Result for B4F0B9FF4B6FF564514283892E95DF005A5165BF

Query result

Key Value
FileName./usr/share/pyshared-data/python-levenshtein
FileSize266
MD5ECE1020203D42581F180FACBF92CDA26
SHA-1B4F0B9FF4B6FF564514283892E95DF005A5165BF
SHA-256982F1960CF0A5CA60996373DAD4C708F3036793402F8ADCD678C83E895341B35
SSDEEP6:UZpMIN3gLQW9Y49yOUhSn4LWb9Y3fxe2zOnM9Y3LPUe2zOz:B/9Djv1nMglz
TLSHT1BBD02B1422DCE37398E19DEC7F26002887D034F02E0294C7FA301882CD7C1C97603E0A
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
FileSize71206
MD5D5105716D2D04C7A2976FFA98635CE03
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-levenshtein
PackageSectionpython
PackageVersion0.10.1-1.1build1
SHA-1032A97ACA5A725FEAD02BDFB09E315EC8667BDC2
SHA-256206949A3DB518950C24AB3AA270710C2047F0D892719CCBADAE8D7DE83FFC02C