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 suggests it's a single pattern
+    regex_syntax_chars = set("{[()]}*+?.^$|\\")
+    has_regex_syntax = any(char in value for char in regex_syntax_chars)
+    # If it has regex syntax, try to compile the entire value as a single pattern
+    if has_regex_syntax:
+        try:
+            return [_regex_transformer(value)]
+        except (argparse.ArgumentTypeError, re.error):
+            # # If that fails, fall back to comma-separated parsing
+            pass
+    # Try comma-separated parsing
+    csv_patterns = _csv_transformer(value)
+    if len(csv_patterns) > 1:
+        # Try to compile all patterns
+        try:
+            patterns: list[Pattern[str]] = []
+            for pattern in csv_patterns:
+                patterns.append(_regex_transformer(pattern))
+            return patterns
+        except (argparse.ArgumentTypeError, re.error):
+            # If any pattern fails to compile, treat the whole value as a single pattern
+            pass
+    # Treat the entire value as a single regex pattern
+    return [_regex_transformer(value)]
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:

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