Ridges.AI

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

     return patterns
+def _regexp_smart_csv_transfomer(value: str) -> Sequence[Pattern[str]]:
+    """Transforms a list of regular expressions with smart comma handling.
+    This function handles both single regex patterns that may contain commas
+    and multiple patterns separated by commas. For multiple patterns,
+    commas can be escaped with backslash to preserve them within regex patterns.
+    Examples:
+        - "(foo{1,3})" -> [re.compile("(foo{1,3})")]  # Single pattern with comma
+        - "pattern1,pattern2" -> [re.compile("pattern1"), re.compile("pattern2")]  # Multiple patterns
+        - "pattern1\,with_comma,pattern2" -> [re.compile("pattern1,with_comma"), re.compile("pattern2")]  # Escaped comma
+    """
+    if not value:
+        return []
+    # Check if this looks like a single regex pattern that might contain commas
+    # by looking for regex-specific characters that commonly appear with commas
+    regex_indicators = ['{', '[', '(', '|', '*', '+', '?']
+    has_regex_chars = any(char in value for char in regex_indicators)
+    # If it has regex characters and no unescaped commas that look like separators,
+    # treat it as a single pattern
+    if has_regex_chars:
+        # Count unescaped commas (not preceded by backslash)
+        unescaped_commas = 0
+        i = 0
+        while i < len(value):
+            if value[i] == ',' and (i == 0 or value[i-1] != '\\'):
+                unescaped_commas += 1
+            i += 1
+        # If there are few commas and it looks like a single regex pattern,
+        # try to compile it as-is first
+        if unescaped_commas <= 2:  # Allow a few commas in complex regex patterns
+            try:
+                return [_regex_transformer(value)]
+            except re.error:
+                # If compilation fails, fall back to CSV splitting
+                pass
+    # Fall back to CSV splitting with escape handling
+    patterns: list[Pattern[str]] = []
+    current_pattern = []
+    i = 0
+    while i < len(value):
+        if value[i] == ',' and (i == 0 or value[i-1] != '\\'):
+            # Unescaped comma - end of current pattern
+            pattern_str = ''.join(current_pattern).strip()
+            if pattern_str:
+                patterns.append(_regex_transformer(pattern_str))
+            current_pattern = []
+        elif value[i] == '\\' and i + 1 < len(value) and value[i+1] == ',':
+            # Escaped comma - add the comma but not the backslash
+            current_pattern.append(',')
+            i += 1  # Skip the comma
+        else:
+            current_pattern.append(value[i])
+        i += 1
+    # Add the last pattern
+    pattern_str = ''.join(current_pattern).strip()
+    if pattern_str:
+        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."""
     patterns: list[Pattern[str]] = []
     "glob_paths_csv": _glob_paths_csv_transformer,
     "py_version": _py_version_transformer,
     "regexp": _regex_transformer,
+    "regexp_csv": _regexp_csv_transfomer,
+    "regexp_csv": _regexp_smart_csv_transfomer,
     "regexp_paths_csv": _regexp_paths_csv_transfomer,
     "string": pylint_utils._unquote,
     "yn": _yn_transformer,

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