Query result

Key	Value
FileName	./usr/lib/python3.6/site-packages/joblib/test/__pycache__/test_memmapping.cpython-36.pyc
FileSize	15831
MD5	DF0C6E2188EFAA014700EDB948970004
SHA-1	04E0CD27D9DD5BAB73FA90D0B822B7957CA88E8E
SHA-256	3DAF2742D5C531DA49C4D440AD134674BEFAF5163CC117F70081DAB2369EC891
SSDEEP	384:mBfffUn/tKiX3XFFHJvdhNOYL+8KOkIdvCKBVMD:mNff8/tjX3PhlS8vkIJCj
TLSH	T144620794A9638D2FFCB9F6F4804C171D5779E2660389C7E74002D0BE1D297C92AB82DE
hashlookup:parent-total	1
hashlookup:trust	55

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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
MD5	AEE91496C3FF3AB0694F0FB74D370425
PackageArch	noarch
PackageDescription	Joblib 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.
PackageName	python3-joblib
PackageRelease	lp150.3.1
PackageVersion	0.13.2
SHA-1	0744E4155B2E95F8AF70CE97E6EE56745D5D0450
SHA-256	FCE10A8126F1DE9CBAD14EADC3F2B4D64CB61942EA2927D2B38001DF7C6889BC