Result for 04A2CD031D70ED1CB506A1F3C1E2479AAAD00FE8

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/test_accessor_dt.py
FileSize16427
MD5FBE7860ABFA060AF42E592C962957D43
SHA-104A2CD031D70ED1CB506A1F3C1E2479AAAD00FE8
SHA-2562220619A6EDE8B90D2A07F7F08F28DB3D9678B73C546CFDF5F4C3958CC43702C
SSDEEP384:GJ4PWRXt0rrPW+jJLxjJLCvRbir8XjGwjJLsjJLKPpaipm4EpVrXMYDW:78g/d9dYRbzGwdgdP4Irw
TLSHT1757243866249091913C3E1B48D7AE5C27731E413AD1839D1BB9D58C46F0CE3EF17AABD
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize465336
MD59F3B45C04DA158EBD442E15837FA703A
PackageDescriptionN-D labeled arrays and datasets in Python 3 xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. . It provides a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. . This package provides the Python 3 library
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-xarray
PackageSectionpython
PackageVersion0.16.0-1
SHA-16B4458A2E1FD4479DA04EFB25F70D74957547D94
SHA-2567F29E35AADE8942449898D61A4A33627B4BCD312F4DF8709191B5B9187F70438
Key Value
MD5604395DDDFE74D7B8686B995AE664507
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.fc33
PackageVersion0.16.1
SHA-145DFB3D025A03D0F07BAA0B0B2BD1732F9161B72
SHA-2566F5C919419803326689417C03B49F01015DD59640A97EE58F793D87961055AC1