Result for 007608B711AFBBD8AEAF3E75ADAFA4E7C9EA308B

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/joblib/__pycache__/compressor.cpython-36.pyc
FileSize16990
MD5601EB26BC145EF4AB8B0EA66D5A34C28
SHA-1007608B711AFBBD8AEAF3E75ADAFA4E7C9EA308B
SHA-256D5A952C04FD6464BCB5B3B93A87C9F4925742128544D1E078A48CAC6F7760961
SSDEEP192:tIhBW37quhcZhlF2vuR701KB+zs0MUi3/+Fj9SgB8ROBWKgag7rc:WhCcZhlF22RAKBV0pivsj9x0qWjamrc
TLSHT12772D865AA52EFAFFC16F3786B5D82A88224417F3758B296718CC05D3F062CC9CB91C4
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
MD5AEE91496C3FF3AB0694F0FB74D370425
PackageArchnoarch
PackageDescriptionJoblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: 1. transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) 2. parallel computing 3. logging and tracing of the execution Joblib can handle large data and has specific optimizations for `numpy` arrays.
PackageNamepython3-joblib
PackageReleaselp150.3.1
PackageVersion0.13.2
SHA-10744E4155B2E95F8AF70CE97E6EE56745D5D0450
SHA-256FCE10A8126F1DE9CBAD14EADC3F2B4D64CB61942EA2927D2B38001DF7C6889BC