Result for 0340C5C144FBE6315F689466C81504345628CE41

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/plot/__pycache__/facetgrid.cpython-39.opt-1.pyc
FileSize17154
MD5041E81A2269C46D579C2989929826D91
SHA-10340C5C144FBE6315F689466C81504345628CE41
SHA-256E374C23A20219B107E3957AB30FC2B26ADB04D9617BC61B95825F88F8B84F093
SSDEEP384:60PUBfW2l6FyEOB/ZKEMEfaVDsrKIjzPC/EezS+ufE:6woYQH/o/EfsD+KIjz6/tX9
TLSHT15C723A8F7E111B6BFF51F1B680996640D536E17B37F42369B85C44881F80AE8F63C6A8
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
MD5B589A12260715DB14593B31FDA207DFA
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.
PackageNamepython39-xarray
PackageRelease2.1
PackageVersion0.18.2
SHA-180B0EF8A6B59A56362A75A9BAFD0344F934910E9
SHA-2564E3FEF26BACC664FD34C2D26E24EA5B9FF8C695E638D9A29BEB2BDFE1B81BE32