..

tests/benchmark-models/test_petab_benchmark.py

@@ -92,7 +92,7 @@ class GradientCheckSettings:
     rtol_sim=1e-14,
     noise_level=0.01,
 )
-settings["Okuonghae_ChaosSolitonsFractals2020"].step_sizes.insert(0, 0.2)
+settings["Okuonghae_ChaosSolitonsFractals2020"].step_sizes.extend([0.2, 0.005])
 settings["Oliveira_NatCommun2021"] = GradientCheckSettings(
     # Avoid "root after reinitialization"
     atol_sim=1e-12,
@@ -107,6 +107,7 @@ class GradientCheckSettings:
     rtol_sim=1e-12,
     atol_check=1e-5,
     rtol_check=1e-4,
+    rng_seed=7,
 )
 settings["Weber_BMC2015"] = GradientCheckSettings(
     atol_sim=1e-12,
@@ -291,16 +292,12 @@ def assert_gradient_check_success(
     with pd.option_context("display.max_columns", None, "display.width", None):
         message = (
             f"Gradient check failed:\n{df}\n\n"
-            f"Maximum absolute difference: {max_adiff}\n"
-            f"Maximum relative difference: {max_rdiff}"
+            f"Maximum absolute difference: {max_adiff} (tolerance: {atol})\n"
+            f"Maximum relative difference: {max_rdiff} (tolerance: {rtol})"
         )
 
     if check_result.success is False:
-        raise AssertionError(
-            f"Gradient check failed:\n{df}\n\n"
-            f"Maximum absolute difference: {max_adiff}\n"
-            f"Maximum relative difference: {max_rdiff}"
-        )
+        raise AssertionError(message)
 
     if always_print:
         print(message)