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Change hh.mutually_broadcastable_shapes() defaults to generate more interesting shapes #75

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Merged
merged 1 commit into from
Jan 17, 2022
Merged

Change hh.mutually_broadcastable_shapes() defaults to generate more interesting shapes #75

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21 changes: 19 additions & 2 deletions array_api_tests/hypothesis_helpers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -165,10 +165,27 @@ def matrix_shapes(draw, stack_shapes=shapes()):
allow_infinity=False))

def mutually_broadcastable_shapes(
num_shapes: int, **kw
num_shapes: int,
*,
base_shape: Shape = (),
min_dims: int = 0,
max_dims: Optional[int] = None,
min_side: int = 0,
max_side: Optional[int] = None,
) -> SearchStrategy[Tuple[Shape, ...]]:
if max_dims is None:
max_dims = min(max(len(base_shape), min_dims) + 5, 32)
if max_side is None:
max_side = max(base_shape[-max_dims:] + (min_side,)) + 5
return (
xps.mutually_broadcastable_shapes(num_shapes, **kw)
xps.mutually_broadcastable_shapes(
num_shapes,
base_shape=base_shape,
min_dims=min_dims,
max_dims=max_dims,
min_side=min_side,
max_side=max_side,
)
.map(lambda BS: BS.input_shapes)
.filter(lambda shapes: all(
prod(i for i in s if i > 0) < MAX_ARRAY_SIZE for s in shapes
Expand Down