Source: iminuit Section: science Priority: optional Homepage: https://github.com/scikit-hep/iminuit Maintainer: Debian Science Maintainers Uploaders: Jeremy Sanders , Stephan Lachnit Vcs-Git: https://salsa.debian.org/science-team/iminuit.git Vcs-Browser: https://salsa.debian.org/science-team/iminuit Build-Depends: cmake, debhelper-compat (=13), dh-sequence-python3, pybuild-plugin-pyproject, python3-all-dev, python3-ipykernel , # python3-ipywidgets , needs ipywidgets v8 (#896460) python3-matplotlib , # python3-numba [amd64 i386 ppc64el] , python3-numpy , python3-pybind11, # python3-pydantic , needs python3-annotated-types (#1050339) python3-pytest , python3-scipy , python3-setuptools, python3-tabulate , Standards-Version: 4.6.2 Testsuite: autopkgtest-pkg-python Rules-Requires-Root: no Package: python3-iminuit Architecture: any Section: python Depends: python3-numpy, ${python3:Depends}, ${shlibs:Depends}, ${misc:Depends}, Recommends: python3-ipywidgets (>= 8.0.0), python3-matplotlib, python3-numba [amd64 i386 ppc64el], python3-scipy, Description: Robust Python minimisation library based around MINUIT2 iminuit is a Jupyter-friendly Python frontend to the MINUIT2 C++ library. It can be used as a general robust function minimisation method, but is most commonly used for likelihood fits of models to data, and to get model parameter error estimates from likelihood profile analysis.