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

+import sys, pytest, collections, collections.abc, urllib3.exceptions, _pytest.pytester, numpy;
+collections.Mapping = collections.abc.Mapping;
+collections.MutableMapping = collections.abc.MutableMapping;
+collections.MutableSet = collections.abc.MutableSet;
+collections.Sequence = collections.abc.Sequence;
+collections.Callable = collections.abc.Callable;
+collections.Iterable = collections.abc.Iterable;
+collections.Iterator = collections.abc.Iterator;
+urllib3.exceptions.SNIMissingWarning = urllib3.exceptions.DependencyWarning;
+pytest.RemovedInPytest4Warning = DeprecationWarning;
+_pytest.pytester.Testdir = _pytest.pytester.Pytester;
+numpy.PINF = numpy.inf;
+numpy.unicode_ = numpy.str_;
+numpy.bytes_ = numpy.bytes_;
+numpy.float_ = numpy.float64;
+numpy.string_ = numpy.bytes_;
+numpy.NaN = numpy.nan;
+import re
+import argparse
+from typing import Sequence, Pattern
+# Replicate the fixed _regexp_csv_transfomer function
+def _regex_transformer(value: str) -> Pattern[str]:
+    """Return `re.compile(value)`."""
+    try:
+        return re.compile(value)
+    except re.error as e:
+        msg = f"Error in provided regular expression: {value} beginning at index {e.pos}: {e.msg}"
+        raise argparse.ArgumentTypeError(msg) from e
+def _splitstrip(string: str, sep: str = ",") -> list[str]:
+    """Return a list of stripped string by splitting the string given as
+    argument on `sep` (',' by default), empty strings are discarded.
+    """
+    return [word.strip() for word in string.split(sep) if word.strip()]
+def _check_csv(value) -> Sequence[str]:
+    if isinstance(value, (list, tuple)):
+        return value
+    return _splitstrip(value)
+def _regexp_csv_transfomer(value: str) -> Sequence[Pattern[str]]:
+    """Transforms a comma separated list of regular expressions."""
+    # First, try to split on commas and compile each part
+    # If any part fails to compile, treat the entire value as a single pattern
+    split_patterns = _check_csv(value)
+    patterns: list[Pattern[str]] = []
+    # Try to compile each split part
+    split_compilation_errors = []
+    for pattern in split_patterns:
+        try:
+            patterns.append(_regex_transformer(pattern))
+        except argparse.ArgumentTypeError as e:
+            split_compilation_errors.append(e)
+            break
+    # If all split parts compiled successfully, return them
+    if not split_compilation_errors:
+        return patterns
+    # If any split part failed to compile, treat the entire value as a single pattern
+    return [_regex_transformer(value)]
+# Test cases
+test_cases = [
+    # Original problematic case
+    {
+        "input": "(foo{1,3})",
+        "expected_count": 1,
+        "expected_patterns": ["(foo{1,3})"],
+        "description": "Single regex with quantifier containing comma"
+    },
+    # Multiple valid patterns
+    {
+        "input": "foo,bar",
+        "expected_count": 2,
+        "expected_patterns": ["foo", "bar"],
+        "description": "Two simple patterns"
+    },
+    # Multiple valid patterns with wildcards
+    {
+        "input": "explicit.*,disallowed.*",
+        "expected_count": 2,
+        "expected_patterns": ["explicit.*", "disallowed.*"],
+        "description": "Two patterns with wildcards"
+    },
+    # Single pattern that could be interpreted as multiple but should be one
+    {
+        "input": "a,b,c",
+        "expected_count": 3,
+        "expected_patterns": ["a", "b", "c"],
+        "description": "Three simple patterns"
+    },
+    # Complex regex with multiple commas
+    {
+        "input": "(a{1,2}|b{3,4}),c{5,6}",
+        "expected_count": 1,
+        "expected_patterns": ["(a{1,2}|b{3,4}),c{5,6}"],
+        "description": "Complex regex that would be mangled by splitting"
+    }
+]
+print("Testing _regexp_csv_transfomer function with various inputs:")
+print("=" * 60)
+all_passed = True
+for i, test_case in enumerate(test_cases, 1):
+    print(f"\nTest {i}: {test_case['description']}")
+    print(f"Input: {test_case['input']}")
+    try:
+        result = _regexp_csv_transfomer(test_case['input'])
+        # Check count
+        if len(result) != test_case['expected_count']:
+            print(f"❌ FAIL: Expected {test_case['expected_count']} patterns, got {len(result)}")
+            all_passed = False
+            continue
+        # Check patterns
+        actual_patterns = [p.pattern for p in result]
+        if actual_patterns != test_case['expected_patterns']:
+            print(f"❌ FAIL: Expected patterns {test_case['expected_patterns']}, got {actual_patterns}")
+            all_passed = False
+            continue
+        print(f"✅ PASS: Got {len(result)} pattern(s) as expected")
+        for j, pattern in enumerate(actual_patterns):
+            print(f"  Pattern {j}: {pattern}")
+    except Exception as e:
+        print(f"❌ FAIL: Exception occurred: {e}")
+        all_passed = False
+print("\n" + "=" * 60)
+if all_passed:
+    print("🎉 All tests passed! The fix works correctly.")
+else:
+    print("❌ Some tests failed. The fix needs more work.")

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