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Set random seed to avoid random test failures

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Johannes Schönberger
2013-05-06 18:34:34 +02:00
parent 13bfd603f3
commit 219d621725
1 changed files with 8 additions and 0 deletions
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skimage/measure/tests/test_fit.py
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@@ -137,6 +137,8 @@ def test_line_model_residuals():
def test_ransac_shape():
np.random.seed(1)
# generate original data without noise
model0 = CircleModel()
model0._params = (10, 12, 3)
@@ -159,6 +161,8 @@ def test_ransac_shape():
def test_ransac_geometric():
np.random.seed(1)
# generate original data without noise
src = 100 * np.random.random((50, 2))
model0 = AffineTransform(scale=(0.5, 0.3), rotation=1,
@@ -180,6 +184,8 @@ def test_ransac_geometric():
def test_ransac_is_data_valid():
np.random.seed(1)
is_data_valid = lambda data: data.shape[0] > 2
model, inliers = ransac(np.empty((10, 2)), LineModel, 2, np.inf,
is_data_valid=is_data_valid)
@@ -188,6 +194,8 @@ def test_ransac_is_data_valid():
def test_ransac_is_model_valid():
np.random.seed(1)
def is_model_valid(model, data):
return False
model, inliers = ransac(np.empty((10, 2)), LineModel, 2, np.inf,