def test_thumbnail_path(sphinx_app, tmpdir):
"""Test sphinx_gallery_thumbnail_path."""
# Make sure our thumbnail matches what it should be
fname_orig = op.join(sphinx_app.srcdir, '_static', 'demo.png')
fname_thumb = op.join(sphinx_app.outdir, '_images',
'sphx_glr_plot_second_future_imports_thumb.png')
fname_new = str(tmpdir.join('new.png'))
scale_image(fname_orig, fname_new,
*sphinx_app.config.sphinx_gallery_conf["thumbnail_size"])
Image = _get_image()
orig = np.asarray(Image.open(fname_thumb))
new = np.asarray(Image.open(fname_new))
assert new.shape == orig.shape
corr = np.corrcoef(new.ravel(), orig.ravel())[0, 1]
assert corr > 0.99
def test_thumbnail_path(sphinx_app, tmpdir):
"""Test sphinx_gallery_thumbnail_path."""
import numpy as np
# Make sure our thumbnail matches what it should be
fname_orig = op.join(sphinx_app.srcdir, '_static_nonstandard', 'demo.png')
fname_thumb = op.join(sphinx_app.outdir, '_images',
'sphx_glr_plot_second_future_imports_thumb.png')
fname_new = str(tmpdir.join('new.png'))
scale_image(fname_orig, fname_new,
*sphinx_app.config.sphinx_gallery_conf["thumbnail_size"])
Image = _get_image()
orig = np.asarray(Image.open(fname_thumb))
new = np.asarray(Image.open(fname_new))
assert new.shape[:2] == orig.shape[:2]
assert new.shape[2] in (3, 4) # optipng can strip the alpha channel
corr = np.corrcoef(new[..., :3].ravel(), orig[..., :3].ravel())[0, 1]
assert corr > 0.99
def test_negative_thumbnail_config(sphinx_app, tmpdir):
"""Test 'sphinx_gallery_thumbnail_number' config works correctly for
negative numbers."""
import numpy as np
# Make sure our thumbnail is the 2nd (last) image
fname_orig = op.join(sphinx_app.outdir, '_images',
'sphx_glr_plot_matplotlib_alt_002.png')
fname_thumb = op.join(sphinx_app.outdir, '_images',
'sphx_glr_plot_matplotlib_alt_thumb.png')
fname_new = str(tmpdir.join('new.png'))
scale_image(fname_orig, fname_new,
*sphinx_app.config.sphinx_gallery_conf["thumbnail_size"])
Image = _get_image()
orig = np.asarray(Image.open(fname_thumb))
new = np.asarray(Image.open(fname_new))
assert new.shape[:2] == orig.shape[:2]
assert new.shape[2] in (3, 4) # optipng can strip the alpha channel
corr = np.corrcoef(new[..., :3].ravel(), orig[..., :3].ravel())[0, 1]
assert corr > 0.99
