Result for 04C4C3178D2CD267752E982E3D2D626122A301F8

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/backends/__pycache__/netcdf3.cpython-39.opt-1.pyc
FileSize3962
MD5A94528EEA08B4D24E8DD06C8B800BB1D
SHA-104C4C3178D2CD267752E982E3D2D626122A301F8
SHA-256CE9BD44387659F48F12690FE96E924158DD66343CB6294D8D9212859A49036BD
SSDEEP96:ait0a59+kTbYJgdixidvPS4fi3enl36FYOA5dLenF7:POk3/ieozA54nF7
TLSHT1328176915A834DA6FFB2F2B0408A7154A319E37732C614F27D9D515D2F463E89632E8C
hashlookup:parent-total6
hashlookup:trust80

Network graph view

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
MD53653B265A16C5BFE4472E8102AFCDA3A
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
PackageRelease62.3
PackageVersion0.20.2
SHA-112226945AD995DBEB347FB056005976ADCDC22AF
SHA-256F883E4127E9101ABFBFB57AC28DB760C5133C9358A92B11832BC68CB4C3B529C
Key Value
MD500F59C6F8E25DEDC40EDA26832FD012D
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
PackageRelease62.3
PackageVersion0.20.2
SHA-110524F42BA9FAD413740115C7FA54F511BFC86DB
SHA-2564D9A0BA1CDEC9AD2C47680559042396E72200E4708C5CA3556ED944FB92CB260
Key Value
MD504CB51687FBC9FE7720C59B59CEF1552
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
PackageNamepython39-xarray
PackageRelease1.2
PackageVersion0.20.2
SHA-1AC7668A567A151FEDF45F85D41CF9942D8B33B2C
SHA-25617617BE01FA059439D3B6276835C8DD0D9AE0E6766D2E59187AC19FEFCCC1749
Key Value
MD506E2DFE22999FBC95570C22D7BB1FDDF
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
PackageRelease62.4
PackageVersion0.20.2
SHA-1A6A141419C640C27F34615324FD1B2F5BF111075
SHA-25668F6B3B851BB44C6F62926C629DA4FD437A39DC1C9BF3907307137AEF565F463
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
Key Value
MD5EFF721A6A9860830ECC7B085D2CCBC78
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
PackageRelease62.5
PackageVersion0.20.2
SHA-1CD9BC96D30CEEB5463C6CBD21C7FC278247A293F
SHA-2568EAE2B4DA36A1DA788415A894F151E46DAC6F4E579C34E4AEFC21714FFBDF38A