Result for 0BB304F9A808B4EE406894B26443295B11BB13A3

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray-0.15.1-py3.8.egg-info/SOURCES.txt
FileSize2232
MD56A0C35726E06A824ABF54ACE82E6F9D0
SHA-10BB304F9A808B4EE406894B26443295B11BB13A3
SHA-256497AF2C078338DF6803EFE89F80C30BA5605623F842FF84F343216EC88022422
SSDEEP48:V0Qj8N/e+4wlK0Uar3WSTxJfp/TBFHldQZ+UOvyQ0o6yHmNfMId1a:6hTlK0Ui3WSTxJfp/THldQAB6YaMId1a
TLSHT13F419DD0E70CB66F9A62D844470F16389ED3B0C2F8A1F4E1E05E0D54D13B82A576E31A
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