Result for 010F3671D766AF0F72035B0351660FAAAA0B4F72

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/dtypes.cpython-38.opt-1.pyc
FileSize4805
MD5035508180BB5C0B94F379271840EF088
SHA-1010F3671D766AF0F72035B0351660FAAAA0B4F72
SHA-256548C07669B59998CEEE942C7185244A460F6F66312A9D68805F11EEDEBCB1039
SSDEEP96:NEDdE/VQqMVAbrfXDNkMV8r4fAVztpVzeIsBiVFy+1WVGZttu07ED1:XVQqmAHfxkmy4fSztXzqBiVFn687Eh
TLSHT1FDA112C45E42056BF8A1F3F0818B2103E6348B7F630A654B7A8DB4BE2F56759A47CF19
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
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
MD526B54B91E716A92D5165813525D12EF5
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
PackageRelease2.1
PackageVersion0.18.2
SHA-1329C26E58C403640FF9215ACB63B16A173DB5EB0
SHA-256938E79C844FD694EF6958A52B9B9844648D6B7F0EC5E2DB3BDF090DF2BED25B0
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