Exemplo n.º 1
0
def test_thumbnail():
    """Test the image thumbnail for square data."""
    np.random.seed(0)
    data = np.random.random((10, 2, 2))
    data[:, 0, :] = 18 * data[:, 0, :] + 1
    data[0, :, :] = [0, 0]
    data[-1, 0, :] = [20, 20]
    data[-1, 1, :] = [0, 0]
    layer = Vectors(data)
    layer._update_thumbnail()
    assert layer.thumbnail.shape == layer._thumbnail_shape
Exemplo n.º 2
0
def test_big_thumbail():
    """Test the image thumbnail with n_vectors > _max_vectors_thumbnail"""
    np.random.seed(0)
    n_vectors = int(1.5 * Vectors._max_vectors_thumbnail)
    data = np.random.random((n_vectors, 2, 2))
    data[:, 0, :] = 18 * data[:, 0, :] + 1
    data[0, :, :] = [0, 0]
    data[-1, 0, :] = [20, 20]
    data[-1, 1, :] = [0, 0]
    layer = Vectors(data)
    layer._update_thumbnail()
    assert layer.thumbnail.shape == layer._thumbnail_shape
Exemplo n.º 3
0
class Vectors2DSuite:
    """Benchmarks for the Vectors layer with 2D data"""

    params = [2**i for i in range(4, 18, 2)]

    def setup(self, n):
        np.random.seed(0)
        self.data = np.random.random((n, 2, 2))
        self.layer = Vectors(self.data)

    def time_create_layer(self, n):
        """Time to create an image layer."""
        Vectors(self.data)

    def time_refresh(self, n):
        """Time to refresh view."""
        self.layer.refresh()

    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, ) * 2)

    def time_width(self, n):
        """Time to update width."""
        self.layer.width = 2

    def time_length(self, n):
        """Time to update length."""
        self.layer.length = 2

    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