Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	3653B265A16C5BFE4472E8102AFCDA3A
PackageArch	noarch
PackageDescription	xarray (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.
PackageName	python39-xarray
PackageRelease	62.3
PackageVersion	0.20.2
SHA-1	12226945AD995DBEB347FB056005976ADCDC22AF
SHA-256	F883E4127E9101ABFBFB57AC28DB760C5133C9358A92B11832BC68CB4C3B529C

Key	Value
MD5	00F59C6F8E25DEDC40EDA26832FD012D
PackageArch	noarch
PackageDescription	xarray (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.
PackageName	python39-xarray
PackageRelease	62.3
PackageVersion	0.20.2
SHA-1	10524F42BA9FAD413740115C7FA54F511BFC86DB
SHA-256	4D9A0BA1CDEC9AD2C47680559042396E72200E4708C5CA3556ED944FB92CB260

Key	Value
MD5	04CB51687FBC9FE7720C59B59CEF1552
PackageArch	noarch
PackageDescription	xarray (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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python39-xarray
PackageRelease	1.2
PackageVersion	0.20.2
SHA-1	AC7668A567A151FEDF45F85D41CF9942D8B33B2C
SHA-256	17617BE01FA059439D3B6276835C8DD0D9AE0E6766D2E59187AC19FEFCCC1749

Key	Value
MD5	06E2DFE22999FBC95570C22D7BB1FDDF
PackageArch	noarch
PackageDescription	xarray (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.
PackageName	python39-xarray
PackageRelease	62.4
PackageVersion	0.20.2
SHA-1	A6A141419C640C27F34615324FD1B2F5BF111075
SHA-256	68F6B3B851BB44C6F62926C629DA4FD437A39DC1C9BF3907307137AEF565F463

Key	Value
MD5	B589A12260715DB14593B31FDA207DFA
PackageArch	noarch
PackageDescription	xarray (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.
PackageName	python39-xarray
PackageRelease	2.1
PackageVersion	0.18.2
SHA-1	80B0EF8A6B59A56362A75A9BAFD0344F934910E9
SHA-256	4E3FEF26BACC664FD34C2D26E24EA5B9FF8C695E638D9A29BEB2BDFE1B81BE32

Key	Value
MD5	EFF721A6A9860830ECC7B085D2CCBC78
PackageArch	noarch
PackageDescription	xarray (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.
PackageName	python39-xarray
PackageRelease	62.5
PackageVersion	0.20.2
SHA-1	CD9BC96D30CEEB5463C6CBD21C7FC278247A293F
SHA-256	8EAE2B4DA36A1DA788415A894F151E46DAC6F4E579C34E4AEFC21714FFBDF38A