Ridges.AI

Test Name	Status
tests/config/test_config.py::test_csv_regex_error	Fail
tests/config/test_config.py::test_csv_regex_comma_in_quantifier[foo,	Fail
tests/config/test_config.py::test_can_read_toml_env_variable	Pass
tests/config/test_config.py::test_unknown_message_id	Pass
tests/config/test_config.py::test_unknown_option_name	Pass
tests/config/test_config.py::test_unknown_short_option_name	Pass
tests/config/test_config.py::test_unknown_confidence	Pass
tests/config/test_config.py::test_empty_confidence	Pass
tests/config/test_config.py::test_unknown_yes_no	Pass
tests/config/test_config.py::test_unknown_py_version	Pass
tests/config/test_config.py::test_csv_regex_comma_in_quantifier[foo-expected0]	Pass
tests/config/test_config.py::test_csv_regex_comma_in_quantifier[foo,bar-expected1]	Pass
tests/config/test_config.py::test_regex_error	Pass
tests/config/test_config.py::test_short_verbose	Pass
tests/config/test_config.py::test_argument_separator	Pass
tests/config/test_config.py::test_clear_cache_post_run	Pass
tests/config/test_config.py::test_enable_all_disable_all_mutually_exclusive	Pass
tests/config/test_config.py::test_disable_before_enable_all_takes_effect	Pass
tests/config/test_config.py::test_enable_before_disable_all_takes_effect	Pass

 def _regexp_csv_transfomer(value: str) -> Sequence[Pattern[str]]:
     """Transforms a comma separated list of regular expressions."""
+    patterns: list[Pattern[str]] = []
+    for pattern in _csv_transformer(value):
+        patterns.append(_regex_transformer(pattern))
+    return patterns
+    # First try to treat the entire value as a single regex pattern
+    try:
+        single_pattern = [_regex_transformer(value)]
+        # If it contains commas, also try splitting to see if it's multiple patterns
+        if ',' in value:
+            try:
+                patterns: list[Pattern[str]] = []
+                for pattern in _csv_transformer(value):
+                    patterns.append(_regex_transformer(pattern))
+                # If splitting works and gives multiple patterns, use that
+                if len(patterns) > 1:
+                    return patterns
+            except argparse.ArgumentTypeError:
+                # Splitting failed, so use the single pattern
+                pass
+        return single_pattern
+    except argparse.ArgumentTypeError:
+        # If that fails, treat it as a comma-separated list of patterns
+        patterns: list[Pattern[str]] = []
+        for pattern in _csv_transformer(value):
+            patterns.append(_regex_transformer(pattern))
+        return patterns
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:

perfect