TST: more warnings dealt with

andyfaff · andyfaff · commit 8fa3f1ff6955 · 2025-09-26T15:45:59.000+10:00
diff --git a/refnx/analysis/tests/test_curvefitter.py b/refnx/analysis/tests/test_curvefitter.py
@@ -1,5 +1,6 @@
 from importlib import resources
 import pickle
+import multiprocessing as mp
 import sys
 
 import numpy as np
@@ -654,6 +655,7 @@ def test_pymc_sample(self):
             # can't run test if pymc/pytensor not installed
             return
 
+        ctx = mp.get_context("spawn")
         with pymc_model(self.objective):
             s = pm.NUTS()
             pm.sample(
@@ -663,6 +665,7 @@ def test_pymc_sample(self):
                 discard_tuned_samples=True,
                 compute_convergence_checks=False,
                 random_seed=1,
+                mp_ctx=ctx,
             )
             # don't check for accuracy because it requires a heap more
             # draws.
diff --git a/refnx/reflect/_app/tests/test_app.py b/refnx/reflect/_app/tests/test_app.py
@@ -2,7 +2,7 @@
 from pathlib import Path
 import pickle
 from importlib import resources
-
+import warnings
 
 import pytest
 from qtpy import QtWidgets, QtCore, QtGui
@@ -137,7 +137,12 @@ def test_mcmc_fit_and_reprocess(qtbot, tmp_path):
     data_objects = [datastore[name] for name in names_to_fit]
 
     kwds = {"nsteps": 5, "folder": tmp_path, "nplot": 20}
-    myapp.fit_data_objects(data_objects, mcmc_kws=kwds)
+    with warnings.catch_warnings():
+        warnings.simplefilter(
+            "ignore",
+            RuntimeWarning
+        )
+        myapp.fit_data_objects(data_objects, mcmc_kws=kwds)
     assert (tmp_path / "steps_corner.png").exists()
 
 
