..

tests/benchmark-models/test_petab_benchmark.py

@@ -41,7 +41,6 @@
     "Fujita_SciSignal2010",
     # FIXME: re-enable
     "Raia_CancerResearch2011",
-    # "Zheng_PNAS2012",
 }
 models = list(sorted(models))
 
@@ -91,6 +90,7 @@ class GradientCheckSettings:
 settings["Okuonghae_ChaosSolitonsFractals2020"] = GradientCheckSettings(
     atol_sim=1e-14,
     rtol_sim=1e-14,
+    noise_level=0.01,
 )
 settings["Okuonghae_ChaosSolitonsFractals2020"].step_sizes.insert(0, 0.2)
 settings["Oliveira_NatCommun2021"] = GradientCheckSettings(
@@ -120,6 +120,7 @@ class GradientCheckSettings:
     rtol_sim=1e-15,
     atol_check=5e-4,
     rtol_check=4e-3,
+    noise_level=0.01,
 )
 
 
@@ -150,7 +151,7 @@ def test_benchmark_gradient(model, scale, sensitivity_method, request):
         "Borghans_BiophysChem1997",
         "Sneyd_PNAS2002",
         "Bertozzi_PNAS2020",
-        "Okuonghae_ChaosSolitonsFractals2020",
+        "Zheng_PNAS2012",
     ):
         # not really worth the effort trying to fix these cases if they
         # only fail on linear scale