def test_multiscale_properties():
"""Test adding labels with multiscale properties."""
np.random.seed(0)
data0 = np.random.randint(20, size=(10, 15))
data1 = data0[::2, ::2]
data = [data0, data1]
layer = Labels(data)
assert isinstance(layer.properties, dict)
assert len(layer.properties) == 0
properties = {'class': ['Background'] + [f'Class {i}' for i in range(20)]}
label_index = {i: i for i in range(len(properties['class']))}
layer = Labels(data, properties=properties)
assert isinstance(layer.properties, dict)
assert layer.properties == properties
assert layer._label_index == label_index
current_label = layer.get_value(layer.coordinates)[1]
layer_message = layer.get_status(layer.position)
assert layer_message.endswith(f'Class {current_label - 1}')
properties = {'class': ['Background']}
layer = Labels(data, properties=properties)
layer_message = layer.get_status(layer.position)
assert layer_message.endswith("[No Properties]")
properties = {'class': ['Background', 'Class 12'], 'index': [0, 12]}
label_index = {0: 0, 12: 1}
layer = Labels(data, properties=properties)
layer_message = layer.get_status(layer.position)
assert layer._label_index == label_index
assert layer_message.endswith('Class 12')
def test_get_status_with_custom_index():
"""See https://github.com/napari/napari/issues/3811"""
data = np.zeros((10, 10), dtype=np.uint8)
data[2:5, 2:-2] = 1
data[5:-2, 2:-2] = 2
layer = Labels(data)
df = pd.DataFrame(
{'text1': [1, 3], 'text2': [7, -2], 'index': [1, 2]}, index=[1, 2]
)
layer.properties = df
assert layer.get_status((0, 0)) == 'Labels [0 0]: 0; [No Properties]'
assert layer.get_status((3, 3)) == 'Labels [3 3]: 1; text1: 1, text2: 7'
assert layer.get_status((6, 6)) == 'Labels [6 6]: 2; text1: 3, text2: -2'
def test_properties():
"""Test adding labels with properties."""
np.random.seed(0)
data = np.random.randint(20, size=(10, 15))
layer = Labels(data)
assert isinstance(layer.properties, dict)
assert len(layer.properties) == 0
properties = {
'class': np.array(['Background'] + [f'Class {i}' for i in range(20)])
}
label_index = {i: i for i in range(len(properties['class']))}
layer = Labels(data, properties=properties)
assert isinstance(layer.properties, dict)
np.testing.assert_equal(layer.properties, properties)
assert layer._label_index == label_index
layer = Labels(data)
layer.properties = properties
assert isinstance(layer.properties, dict)
np.testing.assert_equal(layer.properties, properties)
assert layer._label_index == label_index
current_label = layer.get_value((0, 0))
layer_message = layer.get_status((0, 0))
assert layer_message.endswith(f'Class {current_label - 1}')
properties = {'class': ['Background']}
layer = Labels(data, properties=properties)
layer_message = layer.get_status((0, 0))
assert layer_message.endswith("[No Properties]")
properties = {'class': ['Background', 'Class 12'], 'index': [0, 12]}
label_index = {0: 0, 12: 1}
layer = Labels(data, properties=properties)
layer_message = layer.get_status((0, 0))
assert layer._label_index == label_index
assert layer_message.endswith('Class 12')
layer = Labels(data)
layer.properties = properties
layer_message = layer.get_status((0, 0))
assert layer._label_index == label_index
assert layer_message.endswith('Class 12')
layer = Labels(data)
layer.properties = pd.DataFrame(properties)
layer_message = layer.get_status((0, 0))
assert layer._label_index == label_index
assert layer_message.endswith('Class 12')
def test_message():
"""Test converting value and coords to message."""
np.random.seed(0)
data = np.random.randint(20, size=(10, 15))
layer = Labels(data)
msg = layer.get_status(layer.position)
assert type(msg) == str
