Name:           python-colorthief
Version:        0.2.1
Release:        1%{?dist}
Summary:        Grab the dominant color or a color palette from an image

License:        BSD-3-Clause
URL:            https://github.com/fengsp/color-thief-py
Source0:        %{pypi_source colorthief}

BuildArch:      noarch
BuildRequires:  python3-devel

%global _description %{expand:
Color Thief finds the dominant color of an image, or a palette of its main
colors, using the modified median cut quantization algorithm. It is a
Python port of the Color Thief JavaScript library.}

%description %{_description}

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

%description -n python3-colorthief %{_description}

%prep
%autosetup -n colorthief-%{version}

%generate_buildrequires
%pyproject_buildrequires

%build
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files -l colorthief

%check
%pyproject_check_import
# No tests upstream: a two-color image must yield those two colors.
%{py3_test_envvars} %{python3} - <<'PYEOF'
import io
from PIL import Image
from colorthief import ColorThief
img = Image.new("RGB", (100, 100), (200, 30, 30))
img.paste((20, 20, 220), (0, 0, 100, 30))
buf = io.BytesIO()
img.save(buf, "PNG")
buf.seek(0)
ct = ColorThief(buf)
dom = ct.get_color(quality=1)
assert all(abs(a - b) < 12 for a, b in zip(dom, (200, 30, 30))), dom
pal = ct.get_palette(color_count=2, quality=1)
assert any(all(abs(a - b) < 12 for a, b in zip(c, (20, 20, 220))) for c in pal), pal
PYEOF

%files -n python3-colorthief -f %{pyproject_files}
%doc README.rst

%changelog
* Sun Nov 01 2026 Morgan Hough <morgan.hough@gmail.com> - 0.2.1-1
- Initial package