Restore more complex point approximator tests

Author: han-ol

tests/test_compatibility/test_approximators/test_point_approximator/conftest.py

@@ -47,13 +47,3 @@ def approximator(adapter, point_inference_network, summary_network, standardize)
         summary_network=summary_network,
         standardize=standardize,
     )
-
-
-@pytest.fixture()
-def adapter():
-    from bayesflow import ContinuousApproximator
-
-    return ContinuousApproximator.build_adapter(
-        inference_variables=["mean", "std"],
-        inference_conditions=["x"],
-    )

tests/test_compatibility/test_approximators/test_point_approximator/test_point_approximator.py

@@ -5,9 +5,10 @@
 
 
 @pytest.mark.parametrize(
-    "summary_network,simulator,standardize",
+    "summary_network,simulator,adapter,standardize",
     [
-        [None, "normal", "all"],
+        ["deep_set", "sir", "summary", "all"],  # use deep_set for speed
+        [None, "two_moons", "direct", None],
     ],
     indirect=True,
 )