Result for 096A6815F2357067324FEA938E1CE49EEA23DD5C

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/core/__pycache__/variable.cpython-36.opt-1.pyc
FileSize72860
MD5D518C865556B0878F044498CE4A4A6AD
SHA-1096A6815F2357067324FEA938E1CE49EEA23DD5C
SHA-256E2678C222403665C1D9ECA6E61672CBA793EC815949E4DC54BF2FB64AAB2393B
SSDEEP1536:tYm267ysttye5hJGI97FQw2PpauIOEv0LU+nf17UI7:taytVhJGI96wPBv0o+fxUI7
TLSHT12063F94439421A6AFEB1F1FDC5C9A34AEB34412723C972A2B01D419E3F15968D93DEEC
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