From f533f5351bd08dd40f1198501318610efdf5a4f0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jostein=20B=C3=B8=20Fl=C3=B8ystad?= Date: Sun, 2 Jun 2013 20:08:34 +0200 Subject: [PATCH] PEP8 fixes for test_radon_transform --- skimage/transform/tests/test_radon_transform.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/skimage/transform/tests/test_radon_transform.py b/skimage/transform/tests/test_radon_transform.py index 064b6b73..c0fc883d 100644 --- a/skimage/transform/tests/test_radon_transform.py +++ b/skimage/transform/tests/test_radon_transform.py @@ -35,12 +35,14 @@ def test_radon_iradon(): assert delta < 0.05 - reconstructed = iradon(radon(image), filter="ramp", interpolation="nearest") + reconstructed = iradon(radon(image), filter="ramp", + interpolation="nearest") delta = np.mean(abs(image - reconstructed)) assert delta < 0.05 size = 20 image = np.tri(size) + np.tri(size)[::-1] - reconstructed = iradon(radon(image), filter="ramp", interpolation="nearest") + reconstructed = iradon(radon(image), filter="ramp", + interpolation="nearest") def test_iradon_angles(): @@ -53,14 +55,14 @@ def test_iradon_angles(): # Large number of projections: a good quality is expected nb_angles = 200 radon_image_200 = radon(image, theta=np.linspace(0, 180, nb_angles, - endpoint=False)) + endpoint=False)) reconstructed = iradon(radon_image_200) delta_200 = np.mean(abs(rescale(image) - rescale(reconstructed))) assert delta_200 < 0.03 # Lower number of projections nb_angles = 80 radon_image_80 = radon(image, theta=np.linspace(0, 180, nb_angles, - endpoint=False)) + endpoint=False)) # Test whether the sum of all projections is approximately the same s = radon_image_80.sum(axis=0) assert np.allclose(s, s[0], rtol=0.01)