Result for 051DB5F78CA26B540D99F75B10F080CE7A429E9B

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/core/__pycache__/indexing.cpython-36.pyc
FileSize43842
MD5F99297E2E3E9A6BDCC86BA1797530C13
SHA-1051DB5F78CA26B540D99F75B10F080CE7A429E9B
SHA-256229F41324453C16A8D622036740B4B2BD99F40F951AC055D739DF3DDF06A83FB
SSDEEP768:C20tpzKv5KYNwziQDnGYNPDEMkAaBJQu9kyI9sZl2JZG0RkaRMMX:CRtpKvq2QDnvhDEQvy3lgZtbRMa
TLSHT1FB13D7856A430A2FFD25F3F6800F4A81DF6B5B7743488583700A90BD0FD76A6197E3A9
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
MD548A02A4B22873832B5BA00D5A36444F1
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-xarray
PackageReleasebp153.1.14
PackageVersion0.13.0
SHA-1E66A0E0AE87216EC3AF6002295A4CF8BE8A9AACD
SHA-256AF34DFD3B2CC4E0588CDDD9A61D4E32FD0B85DFBCD62C7A4BA20DBA03A90D739