def test_rechunk_blockshape():
""" Test that blockshape can be used."""
new_shape, new_chunks = (10, 10), (4, 3)
new_blockdims = normalize_chunks(new_chunks, new_shape)
old_chunks = ((4, 4, 2), (3, 3, 3, 1))
a = np.random.uniform(0, 1, 100).reshape((10, 10))
x = da.from_array(a, chunks=old_chunks)
check1 = rechunk(x, chunks=new_chunks)
assert check1.chunks == new_blockdims
assert np.all(check1.compute() == a)
def test_rechunk_blockshape():
""" Test that blockshape can be used."""
new_shape, new_chunks = (10, 10), (4, 3)
new_blockdims = normalize_chunks(new_chunks, new_shape)
old_chunks = ((4, 4, 2), (3, 3, 3, 1))
a = np.random.uniform(0,1,100).reshape((10, 10))
x = da.from_array(a, chunks=old_chunks)
check1 = rechunk(x, chunks=new_chunks)
assert check1.chunks == new_blockdims
assert np.all(check1.compute() == a)
