Result for 0375FEC44B321A8B41ED31587FDCF5EE826711EC

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/__pycache__/test_coding_times.cpython-39.opt-1.pyc
FileSize28926
MD568F59F5D0EF68C022433D595D099C81A
SHA-10375FEC44B321A8B41ED31587FDCF5EE826711EC
SHA-2566BE1DC1336F15D608B7D305AD85933AEBDFD96C0EEBE8CA85E78231442C1BF6E
SSDEEP384:3cpLJ6n4VcMA1Ajyf53uUzO6nKX7FRb+2r1YutptRME7UcvYIeZlTVY5fy:Wchvf53vq7Fx/tRb7UIFeZlTe5q
TLSHT1DED2D7D138330A07FEE9F3F550EA63A1CB2CE2D5C38556527D10538A6D447A82E6E1BD
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