Fixed database typo and removed unnecessary class identifier.
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171
venv/Lib/site-packages/skimage/draw/tests/test_random_shapes.py
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171
venv/Lib/site-packages/skimage/draw/tests/test_random_shapes.py
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import numpy as np
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from skimage.draw import random_shapes
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from skimage._shared import testing
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from skimage._shared._warnings import expected_warnings
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def test_generates_color_images_with_correct_shape():
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image, _ = random_shapes((128, 128), max_shapes=10)
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assert image.shape == (128, 128, 3)
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def test_generates_gray_images_with_correct_shape():
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image, _ = random_shapes(
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(4567, 123), min_shapes=3, max_shapes=20, multichannel=False)
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assert image.shape == (4567, 123)
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def test_generates_correct_bounding_boxes_for_rectangles():
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image, labels = random_shapes(
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(128, 128),
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max_shapes=1,
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shape='rectangle',
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random_seed=42)
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assert len(labels) == 1
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label, bbox = labels[0]
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assert label == 'rectangle', label
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crop = image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]]
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# The crop is filled.
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assert (crop >= 0).all() and (crop < 255).all()
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# The crop is complete.
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image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]] = 255
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assert (image == 255).all()
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def test_generates_correct_bounding_boxes_for_triangles():
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image, labels = random_shapes(
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(128, 128),
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max_shapes=1,
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shape='triangle',
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random_seed=42)
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assert len(labels) == 1
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label, bbox = labels[0]
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assert label == 'triangle', label
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crop = image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]]
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# The crop is filled.
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assert (crop >= 0).any() and (crop < 255).any()
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# The crop is complete.
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image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]] = 255
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assert (image == 255).all()
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def test_generates_correct_bounding_boxes_for_circles():
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image, labels = random_shapes(
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(43, 44),
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max_shapes=1,
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min_size=20,
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max_size=20,
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shape='circle',
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random_seed=42)
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assert len(labels) == 1
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label, bbox = labels[0]
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assert label == 'circle', label
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crop = image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]]
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# The crop is filled.
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assert (crop >= 0).any() and (crop < 255).any()
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# The crop is complete.
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image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]] = 255
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assert (image == 255).all()
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def test_generates_correct_bounding_boxes_for_ellipses():
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image, labels = random_shapes(
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(43, 44),
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max_shapes=1,
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min_size=20,
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max_size=20,
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shape='ellipse',
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random_seed=42)
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assert len(labels) == 1
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label, bbox = labels[0]
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assert label == 'ellipse', label
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crop = image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]]
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# The crop is filled.
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assert (crop >= 0).any() and (crop < 255).any()
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# The crop is complete.
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image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]] = 255
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assert (image == 255).all()
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def test_generate_circle_throws_when_size_too_small():
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with testing.raises(ValueError):
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random_shapes(
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(64, 128), max_shapes=1, min_size=1, max_size=1, shape='circle')
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def test_generate_ellipse_throws_when_size_too_small():
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with testing.raises(ValueError):
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random_shapes(
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(64, 128), max_shapes=1, min_size=1, max_size=1, shape='ellipse')
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def test_generate_triangle_throws_when_size_too_small():
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with testing.raises(ValueError):
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random_shapes(
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(128, 64), max_shapes=1, min_size=1, max_size=1, shape='triangle')
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def test_can_generate_one_by_one_rectangle():
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image, labels = random_shapes(
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(50, 128),
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max_shapes=1,
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min_size=1,
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max_size=1,
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shape='rectangle')
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assert len(labels) == 1
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_, bbox = labels[0]
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crop = image[bbox[0][0]:bbox[0][1], bbox[1][0]:bbox[1][1]]
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# rgb
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assert (np.shape(crop) == (1, 1, 3) and np.any(crop >= 1)
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and np.any(crop < 255))
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def test_throws_when_intensity_range_out_of_range():
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with testing.raises(ValueError):
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random_shapes((1000, 1234), max_shapes=1, multichannel=False,
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intensity_range=(0, 256))
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with testing.raises(ValueError):
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random_shapes((2, 2), max_shapes=1,
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intensity_range=((-1, 255),))
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def test_returns_empty_labels_and_white_image_when_cannot_fit_shape():
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# The circle will never fit this.
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with expected_warnings(['Could not fit']):
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image, labels = random_shapes(
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(10000, 10000), max_shapes=1, min_size=10000, shape='circle')
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assert len(labels) == 0
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assert (image == 255).all()
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def test_random_shapes_is_reproducible_with_seed():
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random_seed = 42
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labels = []
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for _ in range(5):
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_, label = random_shapes((128, 128), max_shapes=5,
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random_seed=random_seed)
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labels.append(label)
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assert all(other == labels[0] for other in labels[1:])
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def test_generates_white_image_when_intensity_range_255():
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image, labels = random_shapes((128, 128), max_shapes=3,
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intensity_range=((255, 255),),
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random_seed=42)
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assert len(labels) > 0
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assert (image == 255).all()
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