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

         raise argparse.ArgumentTypeError(msg) from e
+def _smart_csv_split(value: str) -> list[str]:
+    """Split a comma-separated string, respecting quoted strings.
+    This function handles quoted strings that may contain commas.
+    For example: 'pattern1, "pattern,with,commas", pattern3'
+    Returns: ['pattern1', 'pattern,with,commas', 'pattern3']
+    """
+    if not value:
+        return []
+    result: list[str] = []
+    current = ""
+    in_quotes = False
+    quote_char = None
+    i = 0
+    while i < len(value):
+        char = value[i]
+        # Handle escape sequences
+        if char == "\\" and i + 1 < len(value):
+            # Next character is escaped, add it directly
+            current += value[i + 1]
+            i += 2
+            continue
+        # Handle quote characters
+        if char in '\'"' and not in_quotes:
+            in_quotes = True
+            quote_char = char
+        elif char == quote_char and in_quotes:
+            in_quotes = False
+            quote_char = None
+        elif char == ',' and not in_quotes:
+            # Comma outside quotes is a separator
+            result.append(current.strip())
+            current = ""
+        else:
+            current += char
+        i += 1
+    # Add the last item
+    if current or value.endswith(','):
+        result.append(current.strip())
+    # Remove empty strings and unquote quoted strings
+    final_result = []
+    for item in result:
+        if item:  # Skip empty strings
+            # Remove quotes if the item is quoted
+            if len(item) >= 2 and item[0] in '\'"' and item[-1] == item[0]:
+                item = item[1:-1]
+            final_result.append(item)
+    return final_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.
+    Handles quoted patterns that may contain commas.
+    For example: "(foo{1,3})", "another_pattern"
+    Also handles the case where a single pattern contains commas
+    by trying to treat the whole input as one pattern if splitting fails.
+    """
     patterns: list[Pattern[str]] = []
+    for pattern in _csv_transformer(value):
+        patterns.append(_regex_transformer(pattern))
+    return patterns
+    # First try the smart CSV split
+    try:
+        for pattern in _smart_csv_split(value):
+            patterns.append(_regex_transformer(pattern))
+        return patterns
+    except (re.error, argparse.ArgumentTypeError):
+        # If smart splitting fails, try treating the whole input as a single pattern
+        # This handles cases like "(foo{1,3})" where the user intends a single pattern
+        if value.strip():
+            try:
+                patterns.append(_regex_transformer(value.strip()))
+                return patterns
+            except (re.error, argparse.ArgumentTypeError):
+                # If that also fails, re-raise the original error
+                pass
+        # Re-raise the original error if neither approach worked
+        raise
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:

armor

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Running Agent

Initializing Evaluation

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Failed