ci: migrate CI configuration from CircleCI to GitHub Actions

.github/workflows/ci.yml

@@ -0,0 +1,30 @@
+name: CI
+
+on:
+  push:
+    branches: [master]
+  pull_request:
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          persist-credentials: false
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+
+      - name: Install dependencies
+        run: |
+          pip install -e .[test]
+
+      - name: Run tests
+        run: pytest
+
+      - name: Smoke test
+        run: python complex_colormap/cplot.py

Makefile

@@ -1,28 +1,30 @@
 VERSION=$(shell python3 -c "import complex_colormap; print(complex_colormap.__version__)")
 
+.PHONY: default tag upload publish clean test
+
 default:
 	@echo "\"make publish\"?"
 
-README.rst: README.md
-	cat README.md | sed -e 's_<img src="\([^"]*\)" width="\([^"]*\)">_![](\1){width="\2"}_g' -e 's_<p[^>]*>__g' -e 's_</p>__g' > /tmp/README.md
-	pandoc /tmp/README.md -o README.rst
-	python3 setup.py check -r -s || exit 1
-
 tag:
 	# Make sure we're on the master branch
 	@if [ "$(shell git rev-parse --abbrev-ref HEAD)" != "master" ]; then exit 1; fi
 	@echo "Tagging v$(VERSION)..."
 	git tag v$(VERSION)
 	git push --tags
 
-upload: setup.py README.rst
+upload: tag
 	@if [ "$(shell git rev-parse --abbrev-ref HEAD)" != "master" ]; then exit 1; fi
-	rm -f dist/*
-	python3 setup.py bdist_wheel --universal
+	python3 -m pip install build
+	rm -rf dist
+	python3 -m build
 	gpg --detach-sign -a dist/*
 	twine upload dist/*
 
 publish: tag upload
 
+test:
+	python3 -m pip install -e .[test]
+	pytest
+
 clean:
-	rm -f README.rst
+	rm -rf dist build *.egg-info

complex_colormap/__about__.py

@@ -1,7 +1,4 @@
 # -*- coding: utf-8 -*-
 #
 __version__ = '0.0.1'
-__author_email__ = 'endolith@gmail.com'
 __website__ = 'https://github.com/endolith/complex_colormap'
-__license__ = 'License :: OSI Approved :: MIT License'
-__status__ = 'Development Status :: 2 - Pre-Alpha'

pyproject.toml

@@ -0,0 +1,46 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "complex_colormap"
+dynamic = ["version"]
+description = "Color maps for complex-valued functions"
+readme = "README.md"
+requires-python = ">=3.9"
+license = "MIT"
+authors = [
+    { name = "endolith", email = "endolith@gmail.com" },
+]
+keywords = ["colormap", "matplotlib", "complex", "plotting"]
+classifiers = [
+    "Development Status :: 2 - Pre-Alpha",
+    "Intended Audience :: Science/Research",
+    "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3",
+    "Topic :: Scientific/Engineering",
+    "Topic :: Scientific/Engineering :: Mathematics",
+    "Topic :: Scientific/Engineering :: Physics",
+]
+dependencies = [
+    "colorspacious",
+    "matplotlib",
+    "numpy",
+    "scipy",
+]
+
+[project.optional-dependencies]
+test = [
+    "pytest",
+]
+
+[project.urls]
+Homepage = "https://github.com/endolith/complex_colormap"
+Download = "https://github.com/endolith/complex_colormap/releases"
+
+[tool.hatch.version]
+path = "complex_colormap/__about__.py"
+
+[tool.hatch.build.targets.wheel]
+packages = ["complex_colormap"]
+artifacts = ["complex_colormap/C_lut.npy"]

tests/test_cplot.py

@@ -0,0 +1,32 @@
+import numpy as np
+import pytest
+
+from complex_colormap.cplot import const_chroma_colormap, max_chroma_colormap
+
+
+@pytest.mark.parametrize("func,expected", [
+    (const_chroma_colormap,
+     [[1.0, 1.0, 1.0],
+      [0.0, 0.0, 0.0],
+      [0.824, 0.706, 0.314],
+      [0.502, 0.502, 0.502]]),
+    (max_chroma_colormap,
+     [[1.0, 1.0, 1.0],
+      [0.051, 0.0, 0.001],
+      [0.863, 0.694, 0.0],
+      [0.502, 0.502, 0.502]]),
+])
+def test_colormap_docstring_examples(func, expected):
+    z = np.array([[np.inf, 0, 10j, np.nan]])
+    result = func(z)
+    np.testing.assert_allclose(result[0], expected, atol=1e-3)
+
+
+@pytest.mark.parametrize("func", [const_chroma_colormap, max_chroma_colormap])
+def test_colormap_shape_and_bounds(func):
+    z = np.random.randn(10, 12) + 1j * np.random.randn(10, 12)
+    result = func(z)
+    assert result.shape == (10, 12, 3)
+    assert result.min() >= 0.0
+    assert result.max() <= 1.0
+