Result for 054EC5803DB643846C3F136EBABC41E4AD0263ED

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/core/__pycache__/indexing.cpython-39.pyc
FileSize44646
MD523017A7A4457264BA95362ACFE14081B
SHA-1054EC5803DB643846C3F136EBABC41E4AD0263ED
SHA-2568531705590AA3035872836C972737AEED814D102467F5C4557F33933BE4BDC09
SSDEEP768:tWtG4ai/j2EQD7Jia0CNNiLljH1IJ81KdsSwr/cav68jxoQ1M0:It0fEQD7Jr0ckrw5wrBigoUD
TLSHT12613D6A65E814E7EFC26F1FC840A0E55DB27827B82084442710F85EE1FD7ED9697C3A9
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
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