Result for 00CA1547C1082D1F1BE5E703A592CCBC5086F327

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/arithmetic.cpython-38.pyc
FileSize3757
MD567B6BB3D780DE4A60ED0C9C2516865CD
SHA-100CA1547C1082D1F1BE5E703A592CCBC5086F327
SHA-25670ACED91D9C03829E6B6913D73CE34FE7F1F27F3EF449B60DDDF371587B8EF30
SSDEEP96:Bo8qlknj5M+w5Ay0QMKFvBPLf3GSIDjNaq3lp:Bfq+njmjdTLvzvy/R3j
TLSHT1B771A3584246D579F06BF2B8C2AE060ADE1303791B81665A7C618FCADC07394B9BB39D
hashlookup:parent-total5
hashlookup:trust75

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Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5EC14C6FA9AD1908DE6A86BBC50012D52
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
PackageRelease62.3
PackageVersion0.20.2
SHA-19658FB4B8CFDFD60C074CDBD5856319889B83685
SHA-25645471A4F0E33AF1B9004FF4A8D4FE1C03DDDF13A2EEC99E532ED5C5257CD4DBD
Key Value
MD595FD1765FFB3445B7DB51DC1EF5FA336
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
PackageRelease62.5
PackageVersion0.20.2
SHA-1B2E6131D997351E90EAFB70A44690D5E2845F690
SHA-25682C3CEE259CBC195C7643F7F003325ADE22E58A8B1BAF5417225B7D70AE7B9C7
Key Value
MD5AFF53BF356D7E3A892D934CD7CFD5E5C
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-xarray
PackageRelease1.2
PackageVersion0.20.2
SHA-114314FAFEEC9FA9A0E1C1E0057B213B1A5624820
SHA-2561E78AC3AD75DE4F39B095F02C40D9A920ABD9732820B5A75B050FFC4F4C25C27
Key Value
MD517179A8C9618F74FBED3572C75F41B84
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
PackageRelease62.3
PackageVersion0.20.2
SHA-1E2056A386532E1BC65DE3B4432C9C5D27A3982B8
SHA-256B5841B48EE223B348C9B85B8DF844571897A9B27E3BE9C2448E3A05D769EE155
Key Value
MD5F2EB140E19B21314F0C094DE3C7A3B3D
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
PackageRelease62.4
PackageVersion0.20.2
SHA-1170512AF433513A8A7E57A48A47B466F5602A69E
SHA-256FFAB663D01DB06D9FDB760D0DB5B61E7E95D626117E20D25270AC5C061B27345