def test_image_background():
"""
Test Image.background
"""
backgrounds = []
def image_callback(value, image):
# Load the background as an Image
width, height, input_pixels = utils.load_test_image(value)
attr = liq.Attr()
background = attr.create_rgba(input_pixels, width, height, 0)
backgrounds.append(background)
# Test both the getter and setter methods
image.background = background
with pytest.raises(AttributeError):
image.background
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values(
'alpha-gradient',
['test-card_480_360'], # ['flower', 'test-card_480_360'],
image_callback=image_callback)))
def test_attr_min_opacity():
"""
Test Attr.min_opacity (original implementation, < liq 2.13.0)
"""
def attr_callback(value, attr):
# Test both the getter and setter methods
attr.min_opacity = value
assert attr.min_opacity == value
# Test bounds checking (0-255)
with pytest.raises(ValueError):
attr.min_opacity = -1
with pytest.raises(ValueError):
attr.min_opacity = 256
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values('alpha-gradient', [0, 63, 127, 191, 255],
attr_callback=attr_callback)))
def test_attr_speed():
"""
Test Attr.speed
"""
def attr_callback(value, attr):
# Test both the getter and setter methods
attr.speed = value
assert attr.speed == value
# Test bounds checking (1-10)
with pytest.raises(ValueError):
attr.speed = 0
with pytest.raises(ValueError):
attr.speed = 11
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values('flower', [1, 5, 10],
attr_callback=attr_callback)))
def test_attr_max_quality():
"""
Test Attr.max_quality
"""
def attr_callback(value, attr):
# Test both the getter and setter methods
attr.max_quality = value
assert attr.max_quality == value
# Test bounds checking (0-100)
with pytest.raises(ValueError):
attr.max_quality = -1
with pytest.raises(ValueError):
attr.max_quality = 101
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values('flower', [0, 33, 66, 100],
attr_callback=attr_callback)))
def test_attr_min_posterization():
"""
Test Attr.min_posterization
"""
def attr_callback(value, attr):
# Test both the getter and setter methods
attr.min_posterization = value
assert attr.min_posterization == value
# Test bounds checking (0-4)
with pytest.raises(ValueError):
attr.min_posterization = -1
with pytest.raises(ValueError):
attr.min_posterization = 5
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values('flower', [0, 1, 2, 3, 4],
attr_callback=attr_callback)))
def test_result_dithering_level():
"""
Test Result.dithering_level
"""
def result_callback(value, result):
# Test the setter, and ensure the getter raises AttributeError
result.dithering_level = value
with pytest.raises(AttributeError):
result.dithering_level
# Test bounds checking (0.0-1.0)
with pytest.raises(ValueError):
result.dithering_level = -0.1
with pytest.raises(ValueError):
result.dithering_level = 1.1
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values('flower', [0.0, 0.5, 1.0],
result_callback=result_callback)))
def test_result_output_gamma():
"""
Test Result.output_gamma
"""
def result_callback(value, result):
# Test the setter, and ensure the getter raises AttributeError
result.output_gamma = value
assert result.output_gamma == value
# Test bounds checking (0.0-1.0, not inclusive)
with pytest.raises(ValueError):
result.output_gamma = -0.1
with pytest.raises(ValueError):
result.output_gamma = 0.0
with pytest.raises(ValueError):
result.output_gamma = 1.0
with pytest.raises(ValueError):
result.output_gamma = 1.1
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values('flower', [0.01, 0.5, 0.99],
result_callback=result_callback)))
def test_image_importance_map():
"""
Test Image.importance_map
"""
def image_callback(value, image):
# Load the map as a bytearray
width, height, input_pixels = utils.load_test_image(value)
buffer = bytearray(width * height)
for i in range(0, len(input_pixels), 4):
buffer[i // 4] = input_pixels[i]
# Test both the getter and setter methods
image.importance_map = buffer
with pytest.raises(AttributeError):
image.importance_map
utils.check_outputs_unique(
utils.get_output_datas(
utils.try_multiple_values(
'alpha-gradient',
['importance-map-1', 'importance-map-2', 'importance-map-3'],
image_callback=image_callback)))