class Image3DSuite:
"""Benchmarks for the Image layer with 3D data."""
params = [2**i for i in range(4, 11)]
def setup(self, n):
if "CI" in os.environ and n > 512:
raise NotImplementedError("Skip on CI (not enough memory)")
np.random.seed(0)
self.data = np.random.random((n, n, n))
self.new_data = np.random.random((n, n, n))
self.layer = Image(self.data)
def time_create_layer(self, n):
"""Time to create an image layer."""
Image(self.data)
def time_set_view_slice(self, n):
"""Time to set view slice."""
self.layer._set_view_slice()
def time_update_thumbnail(self, n):
"""Time to update thumbnail."""
self.layer._update_thumbnail()
def time_get_value(self, n):
"""Time to get current value."""
self.layer.get_value((0, ) * 3)
def time_set_data(self, n):
"""Time to get current value."""
self.layer.data = self.new_data
def time_refresh(self, n):
"""Time to refresh view."""
self.layer.refresh()
def mem_layer(self, n):
"""Memory used by layer."""
return Image(self.data)
def mem_data(self, n):
"""Memory used by raw data."""
return self.data
class Image2DSuite:
"""Benchmarks for the Image layer with 2D data."""
params = [2**i for i in range(4, 13)]
def setup(self, n):
np.random.seed(0)
self.data = np.random.random((n, n))
self.new_data = np.random.random((n, n))
self.layer = Image(self.data)
def time_create_layer(self, n):
"""Time to create an image layer."""
Image(self.data)
def time_set_view_slice(self, n):
"""Time to set view slice."""
self.layer._set_view_slice()
def time_update_thumbnail(self, n):
"""Time to update thumbnail."""
self.layer._update_thumbnail()
def time_get_value(self, n):
"""Time to get current value."""
self.layer.get_value()
def time_set_data(self, n):
"""Time to get current value."""
self.layer.data = self.new_data
def time_refresh(self, n):
"""Time to refresh view."""
self.layer.refresh()
def mem_layer(self, n):
"""Memory used by layer."""
return self.layer
def mem_data(self, n):
"""Memory used by raw data."""
return self.data
def test_corner_value():
"""Test getting the value of the data at the new position."""
shapes = [(40, 20), (20, 10), (10, 5)]
np.random.seed(0)
data = [np.random.random(s) for s in shapes]
layer = Image(data, multiscale=True)
value = layer.get_value((0, ) * 2)
target_position = (39, 19)
target_level = 0
layer.data_level = target_level
layer.corner_pixels[1] = shapes[target_level] # update requested view
layer.refresh()
# Test position at corner of image
value = layer.get_value(target_position)
np.testing.assert_allclose(
value, (target_level, data[target_level][target_position]))
# Test position at outside image
value = layer.get_value((40, 20))
assert value[1] is None
