Result for 0255A4B7D5EB4AFBE79A2444C287756036EC5444

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/tests/__pycache__/conftest.cpython-38.pyc
FileSize397
MD5C339815EA9082BD25346FD14860B05C4
SHA-10255A4B7D5EB4AFBE79A2444C287756036EC5444
SHA-256BC240EAB8E098FFA24E9CA16E1119A800DC1CB4DD35B21AE879FC987F933BF89
SSDEEP6:Xe2l/ig+JBvhAhO1s/lrziY/gJ9UkvBmMlytCG9YvLor/A2knuemkM+tEcXvld+N:u2Ig2ZKhl/9VkZmkXGwFuyM+tEcNd+Nn
TLSHT1B2E0C0C50309A630F5E4F3B511222F741B23F93EB204055BEF4AA1D99D051940836B1C
hashlookup:parent-total5
hashlookup:trust75

Network graph view

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