def _perlin_dask_numpy(data: da.Array, freq: tuple, seed: int) -> da.Array:
np.random.seed(seed)
p = np.random.permutation(2**20)
p = np.append(p, p)
height, width = data.shape
linx = da.linspace(0, freq[0], width, endpoint=False, dtype=np.float32)
liny = da.linspace(0, freq[1], height, endpoint=False, dtype=np.float32)
x, y = da.meshgrid(linx, liny)
_func = partial(_perlin, p)
data = da.map_blocks(_func, x, y, meta=np.array((), dtype=np.float32))
data = (data - da.min(data)) / da.ptp(data)
return data
def test_ptp(shape, axis):
a = np.random.randint(0, 10, shape)
d = da.from_array(a, chunks=(len(shape) * (5, )))
assert_eq(da.ptp(d, axis), np.ptp(a, axis))
def test_ptp(shape, axis):
a = np.random.randint(0, 10, shape)
d = da.from_array(a, chunks=(len(shape) * (5,)))
assert_eq(da.ptp(d, axis), np.ptp(a, axis))
