Result for 05284EF36BD4D522E222691F226A9802466CBE6A

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Parent (16)

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.9/site-packages/xarray/tests/test_concat.py
FileSize29108
MD5AAD5F850A9CBB5D76EA6F4637E183925
SHA-105284EF36BD4D522E222691F226A9802466CBE6A
SHA-256D17B18DB5870C3A792A0572292439E7EE67A88D94301536757ADB8937EFACD41
SHA-512F4160AF2127DACDDD9D59C21E5777DB9C4D6A83763FD532152211C6582F43D1C51186F7E4DB6C0397C3908AA31B210BB785EF2E0A61A0B6BC8F51597BA7FA1C1
SSDEEP384:KmL2tA5UySD+rLVJrlXXwtRZLFcRzAMzwAR5nKqHU9ENrVVdaUgZTbF7:H2tAWySGTcZIzAMzwq9KqHU92VKF7
TLSHT14CD22E24E3654C24B78350F086BBC94A2A24FFA31AD0BC58799D48992F9DC3CE577C6D
insert-timestamp1703903975.5062468
mimetypetext/x-python
sourcesnap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
hashlookup:parent-total16
hashlookup:trust100

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Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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
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
Key Value
SHA-14E210792964F511AF8E78E8EED1E2C0AA4D2FC5A
snap-authoritycanonical
snap-filenameS3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12.snap
snap-idS3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
snap-nameeasyreflectometry
snap-publisher-idEBuCYGsiQIvFiHKmkCnXARl4rw7TzbOd
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2023-01-23T14:04:40.642941Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12.snap
Key Value
MD5E831DC677E9C895946E2D0C607A4B0BA
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
PackageNamepython310-xarray
PackageRelease1.2
PackageVersion0.20.2
SHA-1660300DEF827F9304BB8259694F44C016C95622D
SHA-256EF32EC5882F59CDA54302DEB508905BC4D7809DEFCE392C5463B61B255EE3E01
Key Value
MD5AB299D37E93B10161922E48B771D6B2E
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.
PackageNamepython310-xarray
PackageRelease62.5
PackageVersion0.20.2
SHA-17991F22E108B03C72E429EFBF7E3A32BEFD8B576
SHA-2561B6B07ABCCF4622538F27F6619D780D17890E42270B81B5C476FAAA3F8AD4FCF
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
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
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





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