Fix.

src/estimagic/parameters/parameter_groups.py

@@ -38,7 +38,6 @@ def get_params_groups_and_short_names(params, free_mask, max_group_size=8):
     if len(pd.unique(groups)) == len(groups):
         groups = ["Parameters"] * len(groups)
 
-    groups = groups
     counts = pd.value_counts(groups)
     to_be_split = counts[counts > max_group_size]
     for group_name, n_occurrences in to_be_split.items():

tests/optimization/test_tao_optimizers.py

@@ -78,7 +78,7 @@ def test_max_iters():
         algo_options={"stopping.max_iterations": 25},
     )
 
-    assert result.message == "user defined" or result.message == "step size small"
+    assert result.message in ("user defined", "step size small")
 
 
 def test_grtol():
@@ -99,9 +99,9 @@ def test_grtol():
         },
     )
 
-    assert (
-        result.message == "relative_gradient_tolerance below critical value"
-        or result.message == "step size small"
+    assert result.message in (
+        "relative_gradient_tolerance below critical value",
+        "step size small",
     )
 
 
@@ -123,9 +123,9 @@ def test_gatol():
         },
     )
 
-    assert (
-        result.message == "absolute_gradient_tolerance below critical value"
-        or result.message == "step size small"
+    assert result.message in (
+        "absolute_gradient_tolerance below critical value",
+        "step size small",
     )
 
 
@@ -147,9 +147,9 @@ def test_gttol():
         },
     )
 
-    assert (
-        result.message == "gradient_total_tolerance below critical value"
-        or result.message == "step size small"
+    assert result.message in (
+        "gradient_total_tolerance below critical value",
+        "step size small",
     )