Result for 0AD7204F2098A5F80EE51177AEDD800C72AEA295

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/tests/__pycache__/test_testing.cpython-36.opt-1.pyc
FileSize400
MD5D712F757E15F8573AEAFFC085A21EB04
SHA-10AD7204F2098A5F80EE51177AEDD800C72AEA295
SHA-25698FF6B06C3F04893615AE7FA60CB821006CE22BAE951F5C28960DD34A25CD4DE
SSDEEP6:A2/0Ox4+nmbrZy/o1KZMjQ4IP19HA8MIptL9YlMr/A2basE9xNgXkvbGHE3/Q/Qs:Am0Oy+nqoYKZMjQ4IdiIptL7cjgDh
TLSHT114E0C044CE078996F535F678F034133A3470F1F1DA7AA0D3CB24A2562E046CC08F2944
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
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