Result for 052BD706E9AB8D343E4BC00D9BE87424A3084493

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/tests/__pycache__/test_accessor_str.cpython-36.opt-1.pyc
FileSize19030
MD557A92E1CB8698117EBC698809572E759
SHA-1052BD706E9AB8D343E4BC00D9BE87424A3084493
SHA-256B3B07F00E44480FF725C8C89354FF9455D439708CAB39AD096B3329BB8851A8D
SSDEEP384:T+eUqxC/SS5dx8888888ENIPBDixqqqqqqmTc3VTkKwqQk3ypCvXzgG1LCgp3:T+HVjLZ0BDixqqqqqqmakKwqQk3ypCv1
TLSHT17382C68D48C06F8AFC05F1BD51FD571A22B9C0BA2B6DE3D70A01825DBC4965A4CE1F9A
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD5562B6604B370C9D4502F62C3451D3FCB
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.
PackageNamepython3-xarray
PackageReleaselp150.2.2
PackageVersion0.14.1
SHA-1CDA403734CA473BE48D205583D0DD073FC1B485F
SHA-25612BEC829E15BCC9490CBDD94358CE20B35484D75578FD8C8AAD83751163AA6A9