Result for 23B6BC42F9894602C4ACB6C27FAAE1E25BF5B6D0

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/conventions.py
FileSize26571
MD5FFD91A7206D31E9D918DA58F4C45DC95
SHA-123B6BC42F9894602C4ACB6C27FAAE1E25BF5B6D0
SHA-2563DD9650FAD97F30B11B7A5F63FC6A5C99942927808FC0B6BD1D2C5338DAFA35E
SSDEEP384:BzexxS6SKrnolfBhlq3hHP5gSwDLdULnWjOZnLlSxuK7MPSPRha0hrkjKWXJCS:ZeDRoBlqxHP5nJjldpUhThCKw
TLSHT12EC27356DB0129A91BC7D57C4ADFE045A75CB10B120138B83CCE53A91F09629A1FEBFE
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5D68FF1A377928F17C9DA6B0FB037A2A0
PackageArchnoarch
PackageDescriptionXarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.
PackageMaintainerFedora Project
PackageNamepython3-xarray
PackageRelease1.fc32
PackageVersion0.15.1
SHA-18028092FB3FB86551114838ED07B6FCE80628EFA
SHA-25610C0C632BCDB558AE8954C8969691C6F294F8E26E02F0AF93F6EDB6D2ABB74A6