Result for 027F683E44DEE0C4AD43E04FCADDB49E4251BA37

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/weighted.cpython-38.pyc
FileSize7840
MD51F2050EA47F1256D6223F73FB2B81A0C
SHA-1027F683E44DEE0C4AD43E04FCADDB49E4251BA37
SHA-2562E105AA3AE10BEAAFA5A37A40EB09D95E6ABBE709F155B4ED21D9DF7F5B7F600
SSDEEP192:kOpKvCoGnzBnRbMGnzmuF9EUAJN4iYWeEEJdfLqyrbS:kOAvCo89Mz69+mWehJ1LBrbS
TLSHT1ACF151B2AF05FFBBFC0AF0F6D16D525D8672415B23D5D056328C805D0F086A6B07A6AD
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
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