Result for 003E1F5C32BF1A022617C14249502969CF11C34D

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/core/__pycache__/formatting.cpython-39.opt-1.pyc
FileSize19582
MD5287C6B320D44C09689A49BF18D38585E
SHA-1003E1F5C32BF1A022617C14249502969CF11C34D
SHA-2566CEC13D6F4303D1A34E763127C73BD6F098362C66CB2C0FEEF7C439DD583987D
SSDEEP384:U/BsIEXw+WNUftrrKBVJq3ZEJB5IN8ewtptdajGsnZRH4OIVwWIBphICxHAV12zl:3HgN2c03yPGN8xt3ojHnZRzZLh7xgVKL
TLSHT17C92E6C45191FF5EFCA8F6F9E55C12406B26D2BA130AF253F001D1AA3E8868D6C35A9C
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