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Author:
Marcel Rieger
License:
Copyright (c) 2017-2025, Marcel Rieger
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided tha...
Summary:
Scientific numbers with multiple uncertainties and correlation-aware, gaussian propagation and Numpy support.
Latest version:
2.2.2
Required dependencies:
typing-extensions
Optional dependencies:
autodocsumm
|
flake8
|
flake8-commas
|
flake8-quotes
|
ipykernel
|
mypy
|
myst-parser
|
numpy
|
pytest
|
pytest-cov
|
pyyaml
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-book-theme
|
sphinx-lfs-content
|
types-docutils
|
uncertainties
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