test: isolate EP output directories for parallel runs

test_autofit/graphical/conftest.py

@@ -3,6 +3,33 @@
 
 import autofit.mapper.variable
 from autofit import graphical as graph
+from autonerves import conf
+
+
+@pytest.fixture
+def output_directory(tmp_path):
+    """Each test owns its output, even when model identifiers coincide."""
+    return tmp_path / "output"
+
+
+@pytest.fixture(autouse=True)
+def set_config_path(test_directory, output_directory):
+    previous_configs = conf.instance.configs
+    previous_output = conf.instance.output_path
+    conf.instance.push(
+        new_path=str(test_directory / "config"),
+        output_path=str(output_directory),
+    )
+    yield
+    conf.instance.configs = previous_configs
+    conf.instance.output_path = previous_output
+
+
+@pytest.fixture(autouse=True)
+def do_remove_output():
+    # tmp_path owns cleanup. The parent fixture removes the shared output tree,
+    # which may belong to another worker running a non-graphical test.
+    yield
 
 
 @pytest.fixture(autouse=True)

test_autofit/graphical/gaussian/test_optimizer.py

@@ -2,7 +2,6 @@
 
 import autofit as af
 import autofit.graphical as g
-from autonerves.conf import output_path_for_test
 from autofit.graphical.utils import Status
 from test_autofit.graphical.gaussian.model import Analysis
 
@@ -50,7 +49,6 @@ def _test_set_model_identifier(dynesty, prior_model, analysis):
 
 class TestDynesty:
     @pytest.mark.filterwarnings("ignore::RuntimeWarning")
-    @output_path_for_test()
     def test_optimisation(self, factor_model, laplace, dynesty):
         factor_model.optimiser = dynesty
         factor_model.optimise(laplace)
@@ -66,7 +64,6 @@ def test_null_paths(self, factor_model):
         assert isinstance(status, Status)
 
     @pytest.mark.filterwarnings("ignore::RuntimeWarning")
-    @output_path_for_test()
     def test_optimise(self, factor_model, dynesty):
         result, status = dynesty.optimise(
             factor_model.mean_field_approximation().factor_approximation(factor_model)