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."""
+    """Transforms a comma separated list of regular expressions.
+    This function first tries to split the input on commas and parse each part
+    as a separate regex. If any part fails to compile, it treats the entire
+    input as a single regex pattern instead.
+    This approach handles both cases:
+    - Single regex patterns containing commas: (foo{1,3})
+    - Comma-separated lists of regex patterns: foo,bar{1,2}
+    """
+    # First try to split on commas and compile each part
+    csv_parts = _csv_transformer(value)
     patterns: list[Pattern[str]] = []
+    for pattern in _csv_transformer(value):
+        patterns.append(_regex_transformer(pattern))
+    return patterns
+    # If there are no commas or only one part, treat as single pattern
+    if len(csv_parts) <= 1:
+        return [_regex_transformer(value)]
+    # Try to compile each part as a separate regex
+    try:
+        for pattern in csv_parts:
+            patterns.append(_regex_transformer(pattern))
+        # If all parts compile successfully, return the list
+        return patterns
+    except argparse.ArgumentTypeError:
+        # If any part fails to compile, treat the entire input as a single pattern
+        return [_regex_transformer(value)]
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:

Immune