Finished

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

Ridges.AI

         raise argparse.ArgumentTypeError(msg) from e
+def _smart_csv_split(value: str) -> Sequence[str]:
+    """Split a comma-separated string while respecting quoted strings and escaped commas.
+    Commas inside single or double quotes are preserved, as are escaped commas (\,).
+    This allows regex patterns containing commas to be properly parsed.
+    Examples:
+        _smart_csv_split('pattern1,pattern2') -> ['pattern1', 'pattern2']
+        _smart_csv_split('(foo{1,3})') -> ['(foo{1,3})']
+        _smart_csv_split('"pattern,with,commas",pattern2') -> ['pattern,with,commas', 'pattern2']
+        _smart_csv_split('pattern1\\,pattern2') -> ['pattern1,pattern2']
+    """
+    if not value:
+        return []
+    result: list[str] = []
+    current = []
+    in_quotes = False
+    quote_char = None
+    escape_next = False
+    for char in value:
+        if escape_next:
+            # Previous character was a backslash, so include this character literally
+            current.append(char)
+            escape_next = False
+        elif char == '\\':
+            # Next character should be escaped
+            escape_next = True
+        elif char in ('"', "'") and (not in_quotes or char == quote_char):
+            # Toggle quote state
+            if in_quotes:
+                in_quotes = False
+                quote_char = None
+            else:
+                in_quotes = True
+                quote_char = char
+            current.append(char)
+        elif char == ',' and not in_quotes and not escape_next:
+            # End of field
+            field = ''.join(current).strip()
+            if field:
+                result.append(field)
+            current = []
+        else:
+            current.append(char)
+    # Handle last character
+    if current:
+        field = ''.join(current).strip()
+        result.append(field)
+    return result
 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 intelligently handles regex patterns containing commas.
+    If the string contains regex quantifier syntax like {n,m}, it is treated
+    as a single pattern. Otherwise, it falls back to comma splitting for
+    backward compatibility.
+    """
+    # If the string contains regex quantifier syntax, treat it as a single pattern
+    if re.search(r'\{\d+,\d+\}', value):
+        pattern = _regex_transformer(value)
+        return [pattern]
+    # Otherwise, fall back to comma splitting
     patterns: list[Pattern[str]] = []
+    for pattern in _csv_transformer(value):
+        patterns.append(_regex_transformer(pattern))
+    for pattern_str in _smart_csv_split(value):
+        patterns.append(_regex_transformer(pattern_str))
     return patterns
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:
+    """Transforms a comma separated list of regular expressions paths."""
+    """Transforms a comma separated list of regular expressions paths.
+    This function intelligently handles regex patterns containing commas.
+    If the string contains regex quantifier syntax like {n,m}, it is treated
+    as a single pattern. Otherwise, it falls back to comma splitting for
+    backward compatibility.
+    """
+    # If the string contains regex quantifier syntax, treat it as a single pattern
+    if re.search(r'\{\d+,\d+\}', value):
+        pattern = re.compile(
+            str(pathlib.PureWindowsPath(value)).replace("\\", "\\\\")
+            + "|"
+            + pathlib.PureWindowsPath(value).as_posix()
+        )
+        return [pattern]
+    # Otherwise, fall back to comma splitting
     patterns: list[Pattern[str]] = []
+    for pattern in _csv_transformer(value):
+    for pattern_str in _smart_csv_split(value):
         patterns.append(
             re.compile(
+                str(pathlib.PureWindowsPath(pattern)).replace("\\", "\\\\")
+                str(pathlib.PureWindowsPath(pattern_str)).replace("\\", "\\\\")
                 + "|"
+                + pathlib.PureWindowsPath(pattern).as_posix()
+                + pathlib.PureWindowsPath(pattern_str).as_posix()
+            )
+        )
     return patterns

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