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
+    # Check if the value contains regex syntax that uses commas
+    # This includes quantifiers like {n,m} and character classes like [a,b,c]
+    # If it does, treat it as a single regex pattern
+    if re.search(r'\{\d+,\d+\}|\[[^\]]*,[^\]]*\]', value):
+        # Contains regex syntax with commas, treat as single pattern
+        patterns.append(_regex_transformer(value))
+        return patterns
+    else:
+        # No regex syntax with commas found, treat as comma-separated list
+        # This maintains backward compatibility with existing configurations
+        for pattern in _csv_transformer(value):
+            patterns.append(_regex_transformer(pattern))
+        return patterns
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:

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