def test_opacity():
"""Test setting opacity."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data)
# Check default opacity value of 0.7
assert layer.opacity == 0.7
# Select data and change opacity of selection
layer.selected_data = {0, 1}
assert layer.opacity == 0.7
layer.opacity = 0.5
assert layer.opacity == 0.5
# Add new shape and test its width
new_shape = np.random.random((1, 4, 2))
layer.selected_data = set()
layer.add(new_shape)
assert layer.opacity == 0.5
# Instantiate with custom opacity
layer2 = Shapes(data, opacity=0.2)
assert layer2.opacity == 0.2
# Check removing data shouldn't change opacity
layer2.selected_data = {0, 2}
layer2.remove_selected()
assert len(layer2.data) == shape[0] - 2
assert layer2.opacity == 0.2
def test_text_from_property_fstring(properties):
"""Test setting text with an f-string from the property value"""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data,
properties=copy(properties),
text='type: {shape_type}')
expected_text = ['type: ' + v for v in properties['shape_type']]
np.testing.assert_equal(layer.text.values, expected_text)
# test updating the text
layer.text = 'type-ish: {shape_type}'
expected_text_2 = ['type-ish: ' + v for v in properties['shape_type']]
np.testing.assert_equal(layer.text.values, expected_text_2)
# copy/paste
layer.selected_data = {0}
layer._copy_data()
layer._paste_data()
expected_text_3 = expected_text_2 + ['type-ish: A']
np.testing.assert_equal(layer.text.values, expected_text_3)
# add shape
layer.selected_data = {0}
new_shape = np.random.random((1, 4, 2))
layer.add(new_shape)
expected_text_4 = expected_text_3 + ['type-ish: A']
np.testing.assert_equal(layer.text.values, expected_text_4)
def test_color_cycle(attribute, color_cycle):
"""Test setting edge/face color with a color cycle list"""
# create Shapes using list color cycle
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
properties = {'shape_type': _make_cycled_properties(['A', 'B'], shape[0])}
shapes_kwargs = {
'properties': properties,
f'{attribute}_color': 'shape_type',
f'{attribute}_color_cycle': color_cycle,
}
layer = Shapes(data, **shapes_kwargs)
assert layer.properties == properties
color_array = transform_color(
list(islice(cycle(color_cycle), 0, shape[0]))
)
layer_color = getattr(layer, f'{attribute}_color')
np.testing.assert_allclose(layer_color, color_array)
# Add new shape and test its color
new_shape = np.random.random((1, 4, 2))
layer.selected_data = {0}
layer.add(new_shape)
layer_color = getattr(layer, f'{attribute}_color')
assert len(layer_color) == shape[0] + 1
np.testing.assert_allclose(
layer_color,
np.vstack((color_array, transform_color('red'))),
)
# Check removing data adjusts colors correctly
layer.selected_data = {0, 2}
layer.remove_selected()
assert len(layer.data) == shape[0] - 1
layer_color = getattr(layer, f'{attribute}_color')
assert len(layer_color) == shape[0] - 1
np.testing.assert_allclose(
layer_color,
np.vstack((color_array[1], color_array[3:], transform_color('red'))),
)
# refresh colors
layer.refresh_colors(update_color_mapping=True)
# test adding a shape with a new property value
layer.selected_data = {}
current_properties = layer.current_properties
current_properties['shape_type'] = np.array(['new'])
layer.current_properties = current_properties
new_shape_2 = np.random.random((1, 4, 2))
layer.add(new_shape_2)
color_cycle_map = getattr(layer, f'{attribute}_color_cycle_map')
assert 'new' in color_cycle_map
np.testing.assert_allclose(
color_cycle_map['new'], np.squeeze(transform_color(color_cycle[0]))
)
def test_color_direct(attribute: str):
"""Test setting face/edge color directly."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer_kwargs = {f'{attribute}_color': 'black'}
layer = Shapes(data, **layer_kwargs)
color_array = transform_color(['black'] * shape[0])
current_color = getattr(layer, f'current_{attribute}_color')
layer_color = getattr(layer, f'{attribute}_color')
assert current_color == 'black'
assert len(layer.edge_color) == shape[0]
np.testing.assert_allclose(color_array, layer_color)
# With no data selected changing color has no effect
setattr(layer, f'current_{attribute}_color', 'blue')
current_color = getattr(layer, f'current_{attribute}_color')
assert current_color == 'blue'
np.testing.assert_allclose(color_array, layer_color)
# Select data and change edge color of selection
selected_data = {0, 1}
layer.selected_data = {0, 1}
current_color = getattr(layer, f'current_{attribute}_color')
assert current_color == 'black'
setattr(layer, f'current_{attribute}_color', 'green')
colorarray_green = transform_color(['green'] * len(layer.selected_data))
color_array[list(selected_data)] = colorarray_green
layer_color = getattr(layer, f'{attribute}_color')
np.testing.assert_allclose(color_array, layer_color)
# Add new shape and test its color
new_shape = np.random.random((1, 4, 2))
layer.selected_data = set()
setattr(layer, f'current_{attribute}_color', 'blue')
layer.add(new_shape)
color_array = np.vstack([color_array, transform_color('blue')])
layer_color = getattr(layer, f'{attribute}_color')
assert len(layer_color) == shape[0] + 1
np.testing.assert_allclose(color_array, layer_color)
# Check removing data adjusts colors correctly
layer.selected_data = {0, 2}
layer.remove_selected()
assert len(layer.data) == shape[0] - 1
layer_color = getattr(layer, f'{attribute}_color')
assert len(layer_color) == shape[0] - 1
np.testing.assert_allclose(
layer_color,
np.vstack((color_array[1], color_array[3:])),
)
# set the color directly
setattr(layer, f'{attribute}_color', 'black')
color_array = np.tile([[0, 0, 0, 1]], (len(layer.data), 1))
layer_color = getattr(layer, f'{attribute}_color')
np.testing.assert_allclose(color_array, layer_color)
def test_face_color():
"""Test setting face color."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data)
assert layer.face_color == 'white'
assert len(layer.face_colors) == shape[0]
assert layer.face_colors == ['white'] * shape[0]
# With no data selected chaning face color has no effect
layer.face_color = 'blue'
assert layer.face_color == 'blue'
assert layer.face_colors == ['white'] * shape[0]
# Select data and change face color of selection
layer.selected_data = [0, 1]
assert layer.face_color == 'white'
layer.face_color = 'green'
assert layer.face_colors == ['green'] * 2 + ['white'] * (shape[0] - 2)
# Add new shape and test its color
new_shape = np.random.random((1, 4, 2))
layer.selected_data = []
layer.face_color = 'blue'
layer.add(new_shape)
assert len(layer.face_colors) == shape[0] + 1
assert layer.face_colors == ['green'] * 2 + ['white'] * (shape[0] - 2) + [
'blue'
]
# Instantiate with custom face color
layer = Shapes(data, face_color='red')
assert layer.face_color == 'red'
# Instantiate with custom face color list
col_list = ['red', 'green'] * 5
layer = Shapes(data, face_color=col_list)
assert layer.face_color == 'white'
assert layer.face_colors == col_list
# Add new point and test its color
layer.face_color = 'blue'
layer.add(new_shape)
assert len(layer.face_colors) == shape[0] + 1
assert layer.face_colors == col_list + ['blue']
# Check removing data adjusts colors correctly
layer.selected_data = [0, 2]
layer.remove_selected()
assert len(layer.data) == shape[0] - 1
assert len(layer.face_colors) == shape[0] - 1
assert layer.face_colors == [col_list[1]] + col_list[3:] + ['blue']
def test_selecting_shapes():
"""Test selecting shapes."""
data = 20 * np.random.random((10, 4, 2))
np.random.seed(0)
layer = Shapes(data)
layer.selected_data = [0, 1]
assert layer.selected_data == [0, 1]
layer.selected_data = [9]
assert layer.selected_data == [9]
layer.selected_data = []
assert layer.selected_data == []
def test_selecting_shapes():
"""Test selecting shapes."""
data = 20 * np.random.random((10, 4, 2))
np.random.seed(0)
layer = Shapes(data)
layer.selected_data = {0, 1}
assert layer.selected_data == {0, 1}
layer.selected_data = {9}
assert layer.selected_data == {9}
layer.selected_data = set()
assert layer.selected_data == set()
def test_opacities():
"""Test setting opacities."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data)
# Check default opacity value of 0.7
assert layer.opacity == 0.7
assert len(layer.opacities) == shape[0]
assert layer.opacities == [0.7] * shape[0]
# With no data selected chaning opacity has no effect
layer.opacity = 1
assert layer.opacity == 1
assert layer.opacities == [0.7] * shape[0]
# Select data and change opacity of selection
layer.selected_data = [0, 1]
assert layer.opacity == 0.7
layer.opacity = 0.5
assert layer.opacities == [0.5] * 2 + [0.7] * (shape[0] - 2)
# Add new shape and test its width
new_shape = np.random.random((1, 4, 2))
layer.selected_data = []
layer.opacity = 0.3
layer.add(new_shape)
assert layer.opacities == [0.5] * 2 + [0.7] * (shape[0] - 2) + [0.3]
# Instantiate with custom opacity
layer = Shapes(data, opacity=0.2)
assert layer.opacity == 0.2
# Instantiate with custom opacity list
opacity_list = [0.1, 0.4] * 5
layer = Shapes(data, opacity=opacity_list)
assert layer.opacity == 0.7
assert layer.opacities == opacity_list
# Add new shape and test its opacity
layer.opacity = 0.6
layer.add(new_shape)
assert len(layer.opacities) == shape[0] + 1
assert layer.opacities == opacity_list + [0.6]
# Check removing data adjusts opacities correctly
layer.selected_data = [0, 2]
layer.remove_selected()
assert len(layer.data) == shape[0] - 1
assert len(layer.opacities) == shape[0] - 1
assert layer.opacities == [opacity_list[1]] + opacity_list[3:] + [0.6]
def test_edge_width():
"""Test setting edge width."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data)
assert layer.edge_width == 1
assert len(layer.edge_widths) == shape[0]
assert layer.edge_widths == [1] * shape[0]
# With no data selected chaning edge width has no effect
layer.edge_width = 2
assert layer.edge_width == 2
assert layer.edge_widths == [1] * shape[0]
# Select data and change edge color of selection
layer.selected_data = [0, 1]
assert layer.edge_width == 1
layer.edge_width = 3
assert layer.edge_widths == [3] * 2 + [1] * (shape[0] - 2)
# Add new shape and test its width
new_shape = np.random.random((1, 4, 2))
layer.selected_data = []
layer.edge_width = 4
layer.add(new_shape)
assert layer.edge_widths == [3] * 2 + [1] * (shape[0] - 2) + [4]
# Instantiate with custom edge width
layer = Shapes(data, edge_width=5)
assert layer.edge_width == 5
# Instantiate with custom edge width list
width_list = [2, 3] * 5
layer = Shapes(data, edge_width=width_list)
assert layer.edge_width == 1
assert layer.edge_widths == width_list
# Add new shape and test its color
layer.edge_width = 4
layer.add(new_shape)
assert len(layer.edge_widths) == shape[0] + 1
assert layer.edge_widths == width_list + [4]
# Check removing data adjusts colors correctly
layer.selected_data = [0, 2]
layer.remove_selected()
assert len(layer.data) == shape[0] - 1
assert len(layer.edge_widths) == shape[0] - 1
assert layer.edge_widths == [width_list[1]] + width_list[3:] + [4]
def test_removing_selected_shapes():
"""Test removing selected shapes."""
np.random.seed(0)
data = [
20 * np.random.random((np.random.randint(2, 12), 2)) for i in range(5)
] + list(np.random.random((5, 4, 2)))
shape_type = ['polygon'] * 5 + ['rectangle'] * 3 + ['ellipse'] * 2
layer = Shapes(data, shape_type=shape_type)
# With nothing selected no points should be removed
layer.remove_selected()
assert len(layer.data) == len(data)
# Select three shapes and remove them
layer.selected_data = [1, 7, 8]
layer.remove_selected()
keep = [0] + list(range(2, 7)) + [9]
data_keep = [data[i] for i in keep]
shape_type_keep = [shape_type[i] for i in keep]
assert len(layer.data) == len(data_keep)
assert len(layer.selected_data) == 0
assert np.all([np.all(ld == d) for ld, d in zip(layer.data, data_keep)])
assert layer.ndim == 2
assert np.all(
[s == so for s, so in zip(layer.shape_types, shape_type_keep)])
def test_z_index():
"""Test setting z-index during instantiation."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data)
assert layer.z_indices == [0] * shape[0]
# Instantiate with custom z-index
layer = Shapes(data, z_index=4)
assert layer.z_indices == [4] * shape[0]
# Instantiate with custom z-index list
z_index_list = [2, 3] * 5
layer = Shapes(data, z_index=z_index_list)
assert layer.z_indices == z_index_list
# Add new shape and its z-index
new_shape = np.random.random((1, 4, 2))
layer.add(new_shape)
assert len(layer.z_indices) == shape[0] + 1
assert layer.z_indices == z_index_list + [4]
# Check removing data adjusts colors correctly
layer.selected_data = [0, 2]
layer.remove_selected()
assert len(layer.data) == shape[0] - 1
assert len(layer.z_indices) == shape[0] - 1
assert layer.z_indices == [z_index_list[1]] + z_index_list[3:] + [4]
def test_interaction_box():
"""Test the creation of the interaction box."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data)
assert layer._selected_box == None
layer.selected_data = [0]
assert len(layer._selected_box) == 10
layer.selected_data = [0, 1]
assert len(layer._selected_box) == 10
layer.selected_data = []
assert layer._selected_box == None
def test_properties(properties):
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data, properties=copy(properties))
np.testing.assert_equal(layer.properties, properties)
current_prop = {'shape_type': np.array(['B'])}
assert layer.current_properties == current_prop
# test removing shapes
layer.selected_data = {0, 1}
layer.remove_selected()
remove_properties = properties['shape_type'][2::]
assert len(layer.properties['shape_type']) == (shape[0] - 2)
assert np.all(layer.properties['shape_type'] == remove_properties)
# test selection of properties
layer.selected_data = {0}
selected_annotation = layer.current_properties['shape_type']
assert len(selected_annotation) == 1
assert selected_annotation[0] == 'A'
# test adding shapes with properties
new_data = np.random.random((1, 4, 2))
new_shape_type = ['rectangle']
layer.add(new_data, shape_type=new_shape_type)
add_properties = np.concatenate((remove_properties, ['A']), axis=0)
assert np.all(layer.properties['shape_type'] == add_properties)
# test copy/paste
layer.selected_data = {0, 1}
layer._copy_data()
assert np.all(layer._clipboard['properties']['shape_type'] == ['A', 'B'])
layer._paste_data()
paste_properties = np.concatenate((add_properties, ['A', 'B']), axis=0)
assert np.all(layer.properties['shape_type'] == paste_properties)
# test updating a property
layer.mode = 'select'
layer.selected_data = {0}
new_property = {'shape_type': np.array(['B'])}
layer.current_properties = new_property
updated_properties = layer.properties
assert updated_properties['shape_type'][0] == 'B'
def test_delete():
# Test on three four corner rectangle
layer = Shapes(20 * np.random.random((3, 4, 2)))
layer.mode = 'direct'
assert len(layer.data) == 3
layer.selected_data = {0, 1}
key_bindings.delete_selected(layer)
assert len(layer.data) == 1
def test_copy_and_paste():
"""Test copying and pasting selected shapes."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
layer = Shapes(data)
# Clipboard starts empty
assert layer._clipboard == {}
# Pasting empty clipboard doesn't change data
layer._paste_data()
assert len(layer.data) == 10
# Copying with nothing selected leave clipboard empty
layer._copy_data()
assert layer._clipboard == {}
# Copying and pasting with two shapes selected adds to clipboard and data
layer.selected_data = {0, 1}
layer._copy_data()
layer._paste_data()
assert len(layer._clipboard) == 2
assert len(layer.data) == shape[0] + 2
assert np.all(
[np.all(a == b) for a, b in zip(layer.data[:2], layer.data[-2:])]
)
# Pasting again adds two more points to data
layer._paste_data()
assert len(layer.data) == shape[0] + 4
assert np.all(
[np.all(a == b) for a, b in zip(layer.data[:2], layer.data[-2:])]
)
# Unselecting everything and copying and pasting will empty the clipboard
# and add no new data
layer.selected_data = set()
layer._copy_data()
layer._paste_data()
assert layer._clipboard == {}
assert len(layer.data) == shape[0] + 4
def test_remove_selected_with_derived_text():
"""See https://github.com/napari/napari/issues/3504"""
shapes = np.random.rand(3, 4, 2)
properties = {'class': np.array(['A', 'B', 'C'])}
layer = Shapes(shapes, properties=properties, text='class')
vispy_layer = VispyShapesLayer(layer)
text_node = vispy_layer._get_text_node()
np.testing.assert_array_equal(text_node.text, ['A', 'B', 'C'])
layer.selected_data = {1}
layer.remove_selected()
np.testing.assert_array_equal(text_node.text, ['A', 'C'])
def test_move_to_back():
"""Test moving shapes to back."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
z_index_list = [2, 3] * 5
layer = Shapes(data, z_index=z_index_list)
assert layer.z_indices == z_index_list
# Move selected shapes to front
layer.selected_data = [0, 2]
layer.move_to_back()
assert layer.z_indices == [1] + [z_index_list[1]] + [1] + z_index_list[3:]
def test_copy_paste():
# Test on three four corner rectangle
layer = Shapes(20 * np.random.random((3, 4, 2)))
layer.mode = 'direct'
assert len(layer.data) == 3
assert layer._clipboard == {}
layer.selected_data = {0, 1}
key_bindings.copy(layer)
assert len(layer.data) == 3
assert len(layer._clipboard) == 5
key_bindings.paste(layer)
assert len(layer.data) == 5
assert len(layer._clipboard) == 5
def test_value():
"""Test getting the value of the data at the current coordinates."""
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
data[-1, :] = [[0, 0], [0, 10], [10, 0], [10, 10]]
layer = Shapes(data)
value = layer.get_value((0, 0))
assert value == (9, None)
layer.mode = 'select'
layer.selected_data = [9]
value = layer.get_value((0, 0))
assert value == (9, 7)
layer = Shapes(data + 5)
value = layer.get_value((0, 0))
assert value == (None, None)
def test_add_color_cycle_to_empty_layer(attribute):
""" Test adding a shape to an empty layer when edge/face color is a color cycle
See: https://github.com/napari/napari/pull/1069
"""
default_properties = {'shape_type': np.array(['A'])}
color_cycle = ['red', 'blue']
shapes_kwargs = {
'properties': default_properties,
f'{attribute}_color': 'shape_type',
f'{attribute}_color_cycle': color_cycle,
}
layer = Shapes(**shapes_kwargs)
# verify the current_edge_color is correct
expected_color = transform_color(color_cycle[0])
current_color = getattr(layer, f'_current_{attribute}_color')
np.testing.assert_allclose(current_color, expected_color)
# add a shape
np.random.seed(0)
new_shape = 20 * np.random.random((1, 4, 2))
layer.add(new_shape)
props = {'shape_type': np.array(['A'])}
expected_color = np.array([[1, 0, 0, 1]])
np.testing.assert_equal(layer.properties, props)
attribute_color = getattr(layer, f'{attribute}_color')
np.testing.assert_allclose(attribute_color, expected_color)
# add a shape with a new property
layer.selected_data = []
layer.current_properties = {'shape_type': np.array(['B'])}
new_shape_2 = 20 * np.random.random((1, 4, 2))
layer.add(new_shape_2)
new_color = np.array([0, 0, 1, 1])
expected_color = np.vstack((expected_color, new_color))
new_properties = {'shape_type': np.array(['A', 'B'])}
attribute_color = getattr(layer, f'{attribute}_color')
np.testing.assert_allclose(attribute_color, expected_color)
np.testing.assert_equal(layer.properties, new_properties)
def test_color_colormap(attribute):
"""Test setting edge/face color with a colormap"""
# create Shapes using with a colormap
shape = (10, 4, 2)
np.random.seed(0)
data = 20 * np.random.random(shape)
properties = {'shape_type': _make_cycled_properties([0, 1.5], shape[0])}
shapes_kwargs = {
'properties': properties,
f'{attribute}_color': 'shape_type',
f'{attribute}_colormap': 'gray',
}
layer = Shapes(data, **shapes_kwargs)
assert layer.properties == properties
color_mode = getattr(layer, f'{attribute}_color_mode')
assert color_mode == 'colormap'
color_array = transform_color(['black', 'white'] * int((shape[0] / 2)))
attribute_color = getattr(layer, f'{attribute}_color')
assert np.all(attribute_color == color_array)
# change the color cycle - face_color should not change
setattr(layer, f'{attribute}_color_cycle', ['red', 'blue'])
attribute_color = getattr(layer, f'{attribute}_color')
assert np.all(attribute_color == color_array)
# Add new shape and test its color
new_shape = np.random.random((1, 4, 2))
layer.selected_data = {0}
layer.add(new_shape)
attribute_color = getattr(layer, f'{attribute}_color')
assert len(attribute_color) == shape[0] + 1
np.testing.assert_allclose(
attribute_color,
np.vstack((color_array, transform_color('black'))),
)
# Check removing data adjusts colors correctly
layer.selected_data = {0, 2}
layer.remove_selected()
assert len(layer.data) == shape[0] - 1
attribute_color = getattr(layer, f'{attribute}_color')
assert len(attribute_color) == shape[0] - 1
np.testing.assert_allclose(
attribute_color,
np.vstack((
color_array[1],
color_array[3:],
transform_color('black'),
)),
)
# adjust the clims
setattr(layer, f'{attribute}_contrast_limits', (0, 3))
layer.refresh_colors(update_color_mapping=False)
attribute_color = getattr(layer, f'{attribute}_color')
np.testing.assert_allclose(attribute_color[-2], [0.5, 0.5, 0.5, 1])
# change the colormap
new_colormap = 'viridis'
setattr(layer, f'{attribute}_colormap', new_colormap)
attribute_colormap = getattr(layer, f'{attribute}_colormap')
assert attribute_colormap[1] == get_colormap(new_colormap)
