# pwlf -- piecewise linear fits with a chosen number of segments (breakpoints
# found by differential evolution or given). New to Fedora. babelbrain's Step 2
# (TranscranialModeling/BabelIntegrationBASE) imports it unconditionally for
# the skull property mappings, so no acoustic simulation runs without it.

%global pypi_name pwlf

Name:           python-%{pypi_name}
Version:        2.7.0
Release:        1%{?dist}
Summary:        Fit piecewise linear functions to data

License:        MIT
URL:            https://github.com/cjekel/piecewise_linear_fit_py
Source0:        %{pypi_source %{pypi_name}}

BuildArch:      noarch
BuildRequires:  python3-devel

%global _description %{expand:
pwlf fits continuous piecewise linear functions to 1-D data: given the number
of line segments it finds the breakpoint locations (differential evolution),
or fits the segments for breakpoints you supply, with least-squares and
weighted variants, prediction, derivatives, standard errors and p-values.}

%description %_description

%package -n     python3-%{pypi_name}
Summary:        %{summary}

%description -n python3-%{pypi_name} %_description

%prep
%autosetup -p1 -n %{pypi_name}-%{version}

%generate_buildrequires
%pyproject_buildrequires

%build
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files -l %{pypi_name}

%check
%pyproject_check_import
cd /
# One segment through y = 2x + 1 must recover the slope and intercept.
PYTHONPATH=%{buildroot}%{python3_sitelib} %{python3} -c '
import numpy as np, pwlf
x = np.linspace(0.0, 10.0, 50)
m = pwlf.PiecewiseLinFit(x, 2.0 * x + 1.0)
m.fit_with_breaks([0.0, 10.0])
assert abs(m.predict([5.0])[0] - 11.0) < 1e-6, m.predict([5.0])
assert abs(m.slopes[0] - 2.0) < 1e-6, m.slopes'

%files -n python3-%{pypi_name} -f %{pyproject_files}
%doc README.md

%changelog
* Sun Oct 11 2026 Morgan Hough <morgan.hough@gmail.com> - 2.7.0-1
- Initial package, for babelbrain Step 2.