Result for 111BFBB4F346AB5E0DD412F934CFA971F99705D7

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/static/css/style.css
FileSize5829
MD5F2FF5184507ECF5E7F3C02CC75CC7DF0
SHA-1111BFBB4F346AB5E0DD412F934CFA971F99705D7
SHA-256EFA955F9A607DD5C1DA79A31A00DDA8BB7C28F7808FC1C1811DF71666D6617E5
SSDEEP96:Y8xW41IVdOLAo/vhLQ5LP0/O5lULls3ausrTY+htmc0T0kJuV/:9IV28qkkEal5
TLSHT1BCC11E10B6A31B74743FE06D94CBF2E4733A86818D086F6DAD69B4186F486972133F5B
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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