Finished

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

Ridges.AI

 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.
+    Supports regex patterns containing commas by allowing them to be quoted
+    or by escaping commas with backslashes.
+    """
     patterns: list[Pattern[str]] = []
+    for pattern in _csv_transformer(value):
+    for pattern in _parse_regex_csv(value):
         patterns.append(_regex_transformer(pattern))
     return patterns
+def _parse_regex_csv(value: str) -> Sequence[str]:
+    """Parse comma-separated regex patterns, intelligently handling commas within regex syntax.
+    This function uses a smart parsing approach:
+. First tries to parse the entire string as a single regex pattern
+. If that succeeds and the pattern contains regex syntax that suggests it's a single pattern
+       (like parentheses, quantifiers, etc.), treat it as a single pattern
+. Otherwise, fall back to comma splitting for backward compatibility
+. Supports quoted patterns and escaped commas for explicit control
+    This allows patterns like "(foo{1,3})" to work without requiring quotes,
+    while maintaining backward compatibility with comma-separated lists.
+    Args:
+        value: The comma-separated string to parse
+    Returns:
+        List of individual regex patterns
+    """
+    if not value:
+        return []
+    # Check if there are any commas at all
+    if ',' not in value:
+        return [value]
+    # First, try to parse the entire string as a single regex pattern
+    # This handles cases like "(foo{1,3})" where commas are part of regex syntax
+    try:
+        re.compile(value)
+        # If it compiles successfully, check if it looks like a single regex pattern
+        # by looking for regex-specific syntax that suggests it's not just a comma-separated list
+        if _looks_like_single_regex_pattern(value):
+            return [value]
+    except re.error:
+        # If the entire string is not a valid regex, proceed with comma parsing
+        pass
+    # Use the original CSV parsing for backward compatibility
+    # but with support for quoted patterns and escaped commas
+    patterns: list[str] = []
+    current_pattern = []
+    in_quotes = False
+    quote_char = None
+    i = 0
+    while i < len(value):
+        char = value[i]
+        # Handle quote start/end
+        if char in ('"', "'") and not in_quotes:
+            in_quotes = True
+            quote_char = char
+            current_pattern.append(char)
+        elif char == quote_char and in_quotes:
+            in_quotes = False
+            quote_char = None
+            current_pattern.append(char)
+        # Handle escaped characters
+        elif char == '\\' and i + 1 < len(value):
+            # Add both the backslash and the next character
+            current_pattern.append(char)
+            current_pattern.append(value[i + 1])
+            i += 1
+        # Handle comma separator (only when not in quotes)
+        elif char == ',' and not in_quotes:
+            pattern_str = ''.join(current_pattern).strip()
+            if pattern_str:
+                patterns.append(pattern_str)
+            current_pattern = []
+        else:
+            current_pattern.append(char)
+        i += 1
+    # Add the last pattern
+    pattern_str = ''.join(current_pattern).strip()
+    if pattern_str:
+        patterns.append(pattern_str)
+    # Remove quotes from quoted patterns
+    cleaned_patterns = []
+    for pattern in patterns:
+        if (pattern.startswith('"') and pattern.endswith('"')) or \
+           (pattern.startswith("'") and pattern.endswith("'")):
+            cleaned_patterns.append(pattern[1:-1])
+        else:
+            cleaned_patterns.append(pattern)
+    return cleaned_patterns
+def _looks_like_single_regex_pattern(pattern: str) -> bool:
+    """Determine if a pattern looks like a single regex pattern rather than a comma-separated list.
+    This heuristic looks for regex-specific syntax that suggests the commas are part
+    of regex syntax rather than separators between multiple patterns.
+    Args:
+        pattern: The pattern to analyze
+    Returns:
+        True if the pattern looks like a single regex pattern, False otherwise
+    """
+    # Look for common regex syntax that suggests commas are part of the pattern
+    regex_indicators = [
+        r'\(.*\{.*\,.*\}.*\)',  # Parentheses with quantifiers containing commas like (foo{1,3})
+        r'\[.*\,.*\]',            # Character classes with commas like [a,b,c]
+        r'\\,'                     # Escaped commas
+    ]
+    for indicator in regex_indicators:
+        if re.search(indicator, pattern):
+            return True
+    # If the pattern contains commas but no clear regex indicators,
+    # it's more likely to be a comma-separated list
+    return False
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:
     """Transforms a comma separated list of regular expressions paths."""
     patterns: list[Pattern[str]] = []

unicode

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