Result for 04E0A4E3CEFF6C1E12AC8A4E966BD4F545A15E47

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/__init__.py
FileSize1278
MD5FCD5DAB350F744F0ABB895BF59B43E00
SHA-104E0A4E3CEFF6C1E12AC8A4E966BD4F545A15E47
SHA-25607668804B79F6BBFD226A5E2D44D159561D257FF045C47CC56E0B8503EF9B2A3
SSDEEP24:BCwimO1owX5axvnURmyWs/a/1E7N7MHXZjDuCopu1uYr2g5pY3OKBKMk+mvfn:ZiFdX5amgc/a/1ERMtu82g/a0n
TLSHT17921459E623BB7260BFEE5E4009C4174A33372721F0058426A5B037A1BCE549DE9A0EA
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
MD5562B6604B370C9D4502F62C3451D3FCB
PackageArchnoarch
PackageDescriptionxarray (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.
PackageNamepython3-xarray
PackageReleaselp150.2.2
PackageVersion0.14.1
SHA-1CDA403734CA473BE48D205583D0DD073FC1B485F
SHA-25612BEC829E15BCC9490CBDD94358CE20B35484D75578FD8C8AAD83751163AA6A9