Query result

Key	Value
FileName	./usr/lib/python3.6/site-packages/xarray/__pycache__/tutorial.cpython-36.opt-1.pyc
FileSize	3320
MD5	1B4E06F785F1B4BA696FCC5682570283
SHA-1	071C754DA0DC4F5FD2D9803CF1D8695BBA309896
SHA-256	48356C55D246055E233084DDC10C9003561E5B35BD67103B3ACA1860FAD7D951
SSDEEP	96:XmJ/nGEShrGk1AQjZpgFwXVARMLDgp+QvZfFbnk5aNt:Xi+brGIAQzgFwXVARMn0hvlpkoNt
TLSH	T12561FAC52B05DA39FA51F8B0E0BC02A4C671E32F47846912B81C41724F9A0D1FE7B7AA
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	562B6604B370C9D4502F62C3451D3FCB
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	lp150.2.2
PackageVersion	0.14.1
SHA-1	CDA403734CA473BE48D205583D0DD073FC1B485F
SHA-256	12BEC829E15BCC9490CBDD94358CE20B35484D75578FD8C8AAD83751163AA6A9