Clean test_Elemwise

tests/link/numba/test_elemwise.py

@@ -31,55 +31,47 @@ rng = np.random.default_rng(42849)
 
 
 @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()],
@@ -88,7 +80,6 @@ rng = np.random.default_rng(42849)
                 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()],
@@ -97,7 +88,6 @@ rng = np.random.default_rng(42849)
                 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()],
@@ -106,15 +96,25 @@ rng = np.random.default_rng(42849)
                 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,