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import numpy as np
import pytest
from keras_preprocessing.image import affine_transformations
def test_random_transforms():
x = np.random.random((2, 28, 28))
assert affine_transformations.random_rotation(x, 45).shape == (2, 28, 28)
assert affine_transformations.random_shift(x, 1, 1).shape == (2, 28, 28)
assert affine_transformations.random_shear(x, 20).shape == (2, 28, 28)
assert affine_transformations.random_channel_shift(x, 20).shape == (2, 28, 28)
def test_deterministic_transform():
x = np.ones((3, 3, 3))
x_rotated = np.array([[[0., 0., 0.],
[0., 0., 0.],
[1., 1., 1.]],
[[0., 0., 0.],
[1., 1., 1.],
[1., 1., 1.]],
[[0., 0., 0.],
[0., 0., 0.],
[1., 1., 1.]]])
assert np.allclose(affine_transformations.apply_affine_transform(
x, theta=45, channel_axis=2, fill_mode='constant'), x_rotated)
def test_random_zoom():
x = np.random.random((2, 28, 28))
assert affine_transformations.random_zoom(x, (5, 5)).shape == (2, 28, 28)
assert np.allclose(x, affine_transformations.random_zoom(x, (1, 1)))
def test_random_zoom_error():
with pytest.raises(ValueError):
affine_transformations.random_zoom(0, zoom_range=[0])
def test_apply_brightness_shift_error(monkeypatch):
monkeypatch.setattr(affine_transformations, 'ImageEnhance', None)
with pytest.raises(ImportError):
affine_transformations.apply_brightness_shift(0, [0])
def test_random_brightness(monkeypatch):
monkeypatch.setattr(affine_transformations,
'apply_brightness_shift', lambda x, y: (x, y))
assert (0, 3.) == affine_transformations.random_brightness(0, (3, 3))
def test_random_brightness_error():
with pytest.raises(ValueError):
affine_transformations.random_brightness(0, [0])
def test_apply_affine_transform_error(monkeypatch):
monkeypatch.setattr(affine_transformations, 'scipy', None)
with pytest.raises(ImportError):
affine_transformations.apply_affine_transform(0)
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