def test_random_visualizer_increased_tolerance(self):
"""
Test that not close visualizers pass with increased tolerance
"""
viz = RandomVisualizer(random_state=224).fit()
viz.poof()
self.assert_images_similar(viz, tol=30)
def test_random_visualizer(self):
"""
Test that a random visualization is correctly compared to a baseline
"""
viz = RandomVisualizer(random_state=111).fit()
viz.poof()
compare = self.assert_images_similar(viz, tol=1.0)
assert_path_exists(compare.actual_image_path)
assert_path_exists(compare.baseline_image_path)
def test_random_visualizer_not_close(self):
"""
Test that not close visualizers raise an assertion error.
"""
viz = RandomVisualizer(random_state=224).fit()
viz.poof()
with pytest.raises(ImageComparisonFailure, match="images not close"):
self.assert_images_similar(viz)
# Assert there is a diff
assert_path_exists(
ACTUAL_IMAGES, "test_meta", "test_random_visualizer_not_close-failed-diff.png"
)
def test_missing_baseline_image(self):
"""
Test that a missing basline image raises an exception
"""
viz = RandomVisualizer(random_state=14).fit()
viz.poof()
# Assert the baseline image does not exist
assert_path_not_exists(
BASELINE_IMAGES, "test_meta", "test_missing_baseline_image.png"
)
with pytest.raises(ImageComparisonFailure, match="image does not exist"):
self.assert_images_similar(viz)
# Assert the actual image was created (to copy to baseline)
assert_path_exists(
ACTUAL_IMAGES, "test_meta", "test_missing_baseline_image.png"
)