Fix.

src/estimagic/batch_evaluators.py

@@ -143,8 +143,8 @@ def _check_inputs(func, arguments, n_cores, error_handling, unpack_symbol):
 
     try:
         int(n_cores)
-    except Exception:
-        ValueError("n_cores must be an integer.")
+    except Exception as e:
+        raise ValueError("n_cores must be an integer.") from e
 
     if unpack_symbol not in (None, "*", "**"):
         raise ValueError(

src/estimagic/benchmarking/get_benchmark_problems.py

@@ -105,7 +105,7 @@ def get_benchmark_problems(
         scaling_options = None
 
     problems = {}
-    for name, specification in raw_problems.items():
+    for prob_name, specification in raw_problems.items():
         inputs = _create_problem_inputs(
             specification,
             additive_options=additive_options,
@@ -114,7 +114,7 @@ def get_benchmark_problems(
             rng=rng,
         )
 
-        problems[name] = {
+        problems[prob_name] = {
             "inputs": inputs,
             "noise_free_criterion": specification["criterion"],
             "solution": _create_problem_solution(

src/estimagic/visualization/estimation_table.py

@@ -1226,7 +1226,7 @@ def _process_frame_indices(
         elif isinstance(custom_index_names, dict):
             df.rename_axis(index=custom_index_names, inplace=True)
         else:
-            TypeError(
+            raise TypeError(
                 f"""Invalid custom_index_names can be of type either list or dict,
                 or NoneType. Not: {type(custom_index_names)}."""
             )