ai-content-maker/.venv/Lib/site-packages/matplotlib/tests/test_backend_cairo.py

49 lines
1.8 KiB
Python

import numpy as np
import pytest
from matplotlib.testing.decorators import check_figures_equal
from matplotlib import (
collections as mcollections, patches as mpatches, path as mpath)
@pytest.mark.backend('cairo')
@check_figures_equal(extensions=["png"])
def test_patch_alpha_coloring(fig_test, fig_ref):
"""
Test checks that the patch and collection are rendered with the specified
alpha values in their facecolor and edgecolor.
"""
star = mpath.Path.unit_regular_star(6)
circle = mpath.Path.unit_circle()
# concatenate the star with an internal cutout of the circle
verts = np.concatenate([circle.vertices, star.vertices[::-1]])
codes = np.concatenate([circle.codes, star.codes])
cut_star1 = mpath.Path(verts, codes)
cut_star2 = mpath.Path(verts + 1, codes)
# Reference: two separate patches
ax = fig_ref.subplots()
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
patch = mpatches.PathPatch(cut_star1,
linewidth=5, linestyle='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
patch = mpatches.PathPatch(cut_star2,
linewidth=5, linestyle='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_patch(patch)
# Test: path collection
ax = fig_test.subplots()
ax.set_xlim([-1, 2])
ax.set_ylim([-1, 2])
col = mcollections.PathCollection([cut_star1, cut_star2],
linewidth=5, linestyles='dashdot',
facecolor=(1, 0, 0, 0.5),
edgecolor=(0, 0, 1, 0.75))
ax.add_collection(col)