def test_always_slices(self):
array = biggus.ConstantArray((3, 5), dtype=np.float32)
chunk_size = 5 - 1
with set_chunk_size(chunk_size):
slices = _all_slices_inner(array.shape, always_slices=True)
expected = [[slice(0, 1, None), slice(1, 2, None), slice(2, 3, None)],
[slice(0, 4, None), slice(4, 5, None)]]
self.assertEqual(slices, expected)
def test(self):
shape = (3, 5, 10)
a = biggus.ConstantArray(shape, dtype=np.float32)
b = biggus.ConstantArray(shape, dtype=np.float64)
with set_chunk_size(32//8*10-1):
result = biggus.sum(a * b, axis=0).ndarray()
self.assertEqual(result.shape, shape[1:])
def test(self):
shape = (3, 5, 10)
a = biggus.ConstantArray(shape, dtype=np.float32)
b = biggus.ConstantArray(shape, dtype=np.float64)
with set_chunk_size(32 // 8 * 10 - 1):
result = biggus.sum(a * b, axis=0).ndarray()
self.assertEqual(result.shape, shape[1:])
def test_all_cases(self):
array = biggus.ConstantArray((4, 3, 5), dtype=np.float32)
# Chunk size set to fit in two items from the second dimension into a
# single chunk, but not the whole dimension.
chunk_size = 5 * 3 - 1
with set_chunk_size(chunk_size):
slices = _all_slices(array)
expected = [[0, 1, 2, 3],
[slice(0, 2, None), slice(2, 3, None)],
(slice(None, None, None),)]
self.assertEqual(slices, expected)