DeepSeek V3.2 LLM API (x402 Gateway)

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      "content": "Write a Python function that parses a nested JSON object and flattens it into a single-level dictionary. Include comments explaining the logic and handle edge cases like empty objects and null values."
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  "content": "Here's a Python function that flattens nested JSON objects with detailed comments and edge case handling:\n\n```python\nimport json\nfrom typing import Dict, Any, Optional\n\ndef flatten_json(nested_dict: Dict[str, Any], \n                 parent_key: str = '', \n                 sep: str = '_') -> Dict[str, Any]:\n    \"\"\"\n    Recursively flattens a nested JSON/dictionary object into a single-level dictionary.\n    \n    Args:\n        nested_dict: The nested dictionary/JSON object to flatten\n        parent_key: The base key for the current recursion level (used internally)\n        sep: Separator to use between nested keys (default is '_')\n    \n    Returns:\n        A flattened single-level dictionary\n        \n    Examples:\n        >>> nested = {'a': 1, 'b': {'c': 2, 'd': {'e': 3}}}\n        >>> flatten_json(nested)\n        {'a': 1, 'b_c': 2, 'b_d_e': 3}\n    \"\"\"\n    items = {}\n    \n    # Edge case: Handle None or empty input\n    if nested_dict is None:\n        return {}\n    \n    if not isinstance(nested_dict, dict):\n        raise TypeError(\"Input must be a dictionary or JSON object\")\n    \n    # Edge case: Handle empty dictionary\n    if not nested_dict:\n        return {}\n    \n    for key, value in nested_dict.items():\n        # Create the new key by combining parent key and current key\n        new_key = f\"{parent_key}{sep}{key}\" if parent_key else key\n        \n        # Handle different types of values\n        if isinstance(value, dict) and value:\n            # Recursively flatten nested dictionaries\n            items.update(flatten_json(value, new_key, sep))\n        elif isinstance(value, list):\n            # Handle lists by converting them to indexed keys\n            for i, item in enumerate(value):\n                list_key = f\"{new_key}{sep}{i}\"\n                if isinstance(item, dict):\n                    items.update(flatten_json(item, list_key, sep))\n                else:\n                    items[list_key] = item\n        else:\n            # Handle primitive values (including None, strings, numbers, booleans)\n            # Note: None values are preserved in the output\n            items[new_key] = value\n    \n    return items\n\n\ndef flatten_json_safe(nested_dict: Dict[str, Any], \n                      sep: str = '_',\n                      max_depth: int = 10) -> Optional[Dict[str, Any]]:\n    \"\"\"\n    A safer version with depth limiting and more robust error handling.\n    \n    Args:\n        nested_dict: The nested dictionary/JSON object to flatten\n        sep: Separator to use between nested keys\n        max_depth: Maximum recursion depth to prevent stack overflow\n    \n    Returns:\n        Flattened dictionary or None if error occurs\n    \"\"\"\n    def _flatten_recursive(current_dict: Dict[str, Any], \n                          parent_key: str = '', \n                          current_depth: int = 0) -> Dict[str, Any]:\n        \"\"\"Inner recursive function with depth checking.\"\"\"\n        # Prevent infinite recursion\n        if current_depth >= max_depth:\n            raise RecursionError(f\"Maximum recursion depth ({max_depth}) exceeded\")\n        \n        items = {}\n        \n        for key, value in current_dict.items():\n            new_key = f\"{parent_key}{sep}{key}\" if parent_key else key\n            \n            if isinstance(value, dict) and value:\n                items.update(_flatten_recursive(value, new_key, current_depth + 1))\n            elif isinstance(value, list):\n                for i, item in enumerate(value):\n                    list_key = f\"{new_key}{sep}{i}\"\n                    if isinstance(item, dict):\n                        items.update(_flatten_recursive(item, list_key, current_depth + 1))\n                    else:\n                        items[list_key] = item\n            else:\n                items[new_key] = value\n        \n        return items\n    \n    try:\n        # Handle edge cases\n        if nested_dict is None:\n            return {}\n        \n        if not isinstance(nested_dict, dict):\n            raise TypeError(\"Input must be a dictionary\")\n        \n        return _flatten_recursive(nested_dict, '', 0)\n    \n    except (RecursionError, TypeError) as e:\n        print(f\"Error flattening JSON: {e}\")\n        return None\n\n\n# Example usage and demonstration\nif __name__ == \"__main__\":\n    # Test cases demonstrating various edge cases\n    \n    # Example 1: Basic nested JSON\n    sample_json = {\n        \"name\": \"John\",\n        \"age\": 30,\n        \"address\": {\n            \"street\": \"123 Main St\",\n            \"city\": \"New York\",\n            \"coordinates\": {\n                \"lat\": 40.7128,\n                \"lng\": -"
}