Result for 0B7D04840CFCBB81A3FFB106F8F1A4D9FD04C634

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/coding/__pycache__/__init__.cpython-36.pyc
FileSize141
MD55A590F9AE9D776B8916CD5329A79EE8A
SHA-10B7D04840CFCBB81A3FFB106F8F1A4D9FD04C634
SHA-2568594FDB1E7D0372FE0FBE39B6C96EA3CB2CB8FDDE6C2F39AFEA968B004657DD7
SSDEEP3:Cc2l+leh/wZWezM9YOKltVWrzzAeQcRkcTitn:1Caeh/ws9YlMr/AeQcD6
TLSHT1F4C09240863AC2E6FA7EFDB66118071518C8FAA1A28B59E3BA0449891C0A3A04C22804
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