Skip to content

Clean test_Elemwise #1536

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jul 13, 2025
Merged

Clean test_Elemwise #1536

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
40 changes: 20 additions & 20 deletions tests/link/numba/test_elemwise.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,55 +31,47 @@


@pytest.mark.parametrize(
"inputs, input_vals, output_fn, exc",
"inputs, input_vals, output_fn",
[
(
[pt.vector()],
[rng.uniform(size=100).astype(config.floatX)],
lambda x: pt.gammaln(x),
None,
),
(
[pt.vector()],
[rng.standard_normal(100).astype(config.floatX)],
lambda x: pt.sigmoid(x),
None,
),
(
[pt.vector()],
[rng.standard_normal(100).astype(config.floatX)],
lambda x: pt.log1mexp(x),
None,
),
(
[pt.vector()],
[rng.standard_normal(100).astype(config.floatX)],
lambda x: pt.erf(x),
None,
),
(
[pt.vector()],
[rng.standard_normal(100).astype(config.floatX)],
lambda x: pt.erfc(x),
None,
),
(
[pt.vector()],
[rng.standard_normal(100).astype(config.floatX)],
lambda x: pt.erfcx(x),
None,
),
(
[pt.vector() for i in range(4)],
[rng.standard_normal(100).astype(config.floatX) for i in range(4)],
lambda x, y, x1, y1: (x + y) * (x1 + y1) * y,
None,
),
(
[pt.matrix(), pt.scalar()],
[rng.normal(size=(2, 2)).astype(config.floatX), 0.0],
lambda a, b: pt.switch(a, b, a),
None,
),
(
[pt.scalar(), pt.scalar()],
Expand All @@ -88,7 +80,6 @@
np.array(1.0, dtype=config.floatX),
],
lambda x, y: pti.add_inplace(deep_copy_op(x), deep_copy_op(y)),
None,
),
(
[pt.vector(), pt.vector()],
Expand All @@ -97,7 +88,6 @@
rng.standard_normal(100).astype(config.floatX),
],
lambda x, y: pti.add_inplace(deep_copy_op(x), deep_copy_op(y)),
None,
),
(
[pt.vector(), pt.vector()],
Expand All @@ -106,20 +96,30 @@
rng.standard_normal(100).astype(config.floatX),
],
lambda x, y: scalar_my_multi_out(x, y),
None,
),
],
ids=[
"gammaln",
"sigmoid",
"log1mexp",
"erf",
"erfc",
"erfcx",
"complex_arithmetic",
"switch",
"add_inplace_scalar",
"add_inplace_vector",
"scalar_multi_out",
],
)
def test_Elemwise(inputs, input_vals, output_fn, exc):
def test_Elemwise(inputs, input_vals, output_fn):
outputs = output_fn(*inputs)

cm = contextlib.suppress() if exc is None else pytest.raises(exc)
with cm:
compare_numba_and_py(
inputs,
outputs,
input_vals,
)
compare_numba_and_py(
inputs,
outputs,
input_vals,
)


@pytest.mark.xfail(reason="Logic had to be reversed due to surprising segfaults")
Expand Down