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 intelligently handles regex patterns containing commas:
+    - Patterns with regex syntax that uses commas (like {n,m}) are treated as single patterns
+    - Simple comma-separated patterns are split for backward compatibility
+    Examples:
+    - "pattern1,pattern2" -> [pattern1, pattern2] (backward compatibility)
+    - "(foo{1,3})" -> [(foo{1,3})] (single pattern with comma)
+    - "pattern1,(foo{1,3}),pattern2" -> [pattern1, (foo{1,3}), pattern2] (mixed)
+    """
+    if not value:
+        return []
+    # Check if this looks like a single pattern with regex syntax that uses commas
+    # Common case: quantifiers like {1,3}
+    if '{' in value and ',' in value:
+        # Look for patterns like {n,m} where n and m are numbers
+        import re as regex_mod
+        if regex_mod.search(r'\{\d*,\d*\}', value) or regex_mod.search(r'\{\d+,\s*\d*\}', value):
+            # This looks like it contains quantifier syntax, treat as single pattern
+            try:
+                pattern = _regex_transformer(value)
+                return [pattern]
+            except (re.error, argparse.ArgumentTypeError):
+                # If it fails, fall through to normal processing
+                pass
+    # Try normal comma-separated processing for backward compatibility
+    split_parts = pylint_utils._check_csv(value)
     patterns: list[Pattern[str]] = []
+    for pattern in _csv_transformer(value):
+        patterns.append(_regex_transformer(pattern))
+    return patterns
+    split_compilation_failed = False
+    # Try to compile each split part
+    for pattern_str in split_parts:
+        try:
+            patterns.append(_regex_transformer(pattern_str))
+        except (re.error, argparse.ArgumentTypeError):
+            split_compilation_failed = True
+            break
+    # If all parts compiled successfully, return them
+    if not split_compilation_failed:
+        return patterns
+    # If compilation failed, try treating the entire string as a single pattern
+    try:
+        pattern = _regex_transformer(value)
+        return [pattern]
+    except (re.error, argparse.ArgumentTypeError):
+        # If that also fails, re-raise the original error from the split attempt
+        # Try again to get the proper error message
+        patterns = []
+        for pattern_str in split_parts:
+            patterns.append(_regex_transformer(pattern_str))
+        return patterns  # This line should never be reached due to the exception above
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:

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