Result for 021736B9408948AF9BBA205464059B1F3510E7E7

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/tests/__pycache__/__init__.cpython-38.opt-1.pyc
FileSize7939
MD53E4ADBBE44B6CD9FEA9192289D379938
SHA-1021736B9408948AF9BBA205464059B1F3510E7E7
SHA-2569B5E13B1FA773F7AB48A09B7F82369BDAB885A50E8DB8CC4D8140FC419EFE8BB
SSDEEP192:8As/NYhBbYpLSgvwrh87uRr9KWCXdj307OmgqIH:WYhBbYpWgvwNx9KW4j36Xg9H
TLSHT188F1E7C4CB8A6D1EF9A6F2F8913D8D406E72E336430E5453C80692EF2DD864269E157F
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
MD5F2EB140E19B21314F0C094DE3C7A3B3D
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.
PackageNamepython38-xarray
PackageRelease62.4
PackageVersion0.20.2
SHA-1170512AF433513A8A7E57A48A47B466F5602A69E
SHA-256FFAB663D01DB06D9FDB760D0DB5B61E7E95D626117E20D25270AC5C061B27345