Result for 20E8832991A8E66C67B9A4C929A1E092E4183A1C

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/textdistance/algorithms/__pycache__/edit_based.cpython-39.pyc
FileSize18582
MD55500CDBCCB934E54C14C24714BFC18DA
SHA-120E8832991A8E66C67B9A4C929A1E092E4183A1C
SHA-256F12C09F3ED7DAFD37844EEC89304292767DA3686A48E554E9ED4E844ACF7449A
SSDEEP384:bdEhHq0QdjtyJxB3j1MKKUliYB4FKdGWtUZKmFuw4/hQ9N:bu9BBxtKUl2F2GWiZKquw4/UN
TLSHT1C48209F34E811E7BFD53F7FD095F0A12E32896AA63958106302F818B0F469C59D714AD
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
MD5B3518469C8FF582CF868BFA9774A9936
PackageArchnoarch
PackageDescription TextDistance - python library for comparing distance between two or more sequences by many algorithms. Features: - 30+ algorithms - Pure python implementation - Simple usage - More than two sequences comparing - Some algorithms have more than one implementation in one class. - Optional numpy usage for maximum speed.
PackageMaintainerFedora Project
PackageNamepython3-textdistance
PackageRelease3.fc34
PackageVersion4.2.0
SHA-12A3027C49860CF7E01098C07963800F96AFF23A6
SHA-256A997A78A9C5EDE934F40ECFD557AE5C91204427D542C05F18B4F17869024C521