Result for 04C826D09791BFF187469E776C9E3F882A4A7C96

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/backends/pydap_.py
FileSize4647
MD5A2E07048DB4A0E25C1E7D9A2EFDB4AEA
SHA-104C826D09791BFF187469E776C9E3F882A4A7C96
SHA-256394ABB24FB6DE9AC7370644701D9B7C77F704FAFCE6B48A999423A7320D38303
SSDEEP96:INLGxgDgc71WEWwxi0JtulgMO1kTIcnktFxV/k3Hjym:INLG6gLwo0JtpMOGT7nktFLCjym
TLSHT129A1724A5B5567B61FD38169E88EC4829358B80B1A09306C7CAD53910F0ED28E6FD9EC
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD526B54B91E716A92D5165813525D12EF5
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.
PackageNamepython38-xarray
PackageRelease2.1
PackageVersion0.18.2
SHA-1329C26E58C403640FF9215ACB63B16A173DB5EB0
SHA-256938E79C844FD694EF6958A52B9B9844648D6B7F0EC5E2DB3BDF090DF2BED25B0
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