ifai

### Code Refactor Request for IfAI

**Original Code (Python - Legacy Data Processing Script):**
```python
def process_data(data):
    result = []
    for item in data:
        if item['status'] == 'active':
            temp = item['value'] * 2
            result.append(temp)
    return result
```

**IfAI Refactored Code (PEP 8 Compliant with Type Hints & List Comprehension):**
```python
def process_data(data: list[dict]) -> list[int]:
    """
    Processes a list of dictionaries, filtering for 'active' items and doubling their values.
    Args:
        data: List of dictionaries with 'status' and 'value' keys.
    Returns:
        List of processed values.
    """
    return [item['value'] * 2 for item in data if item['status'] == 'active']
```

**Key Improvements:**
1. **Type Hints:** Added `list[dict]` and `list[int]` annotations for better IDE support and readability.
2. **List Comprehension:** Replaced the explicit loop with a more Pythonic and performant list comprehension.
3. **Docstring:** Added a clear docstring explaining the function's purpose, arguments, and return value.
4. **Variable Naming:** Removed redundant `temp` variable and improved clarity.
5. **Performance:** List comprehensions are generally faster than explicit loops in Python.

**Testing Notes:**
- The refactored version was tested with the same input: `[{'status': 'active', 'value': 5}, {'status': 'inactive', 'value': 3}]`
- Output: `[10]` (matches original behavior).
- Edge case handled: Empty input list returns `[]`.

**Next Steps:**
- Consider adding error handling for missing keys (e.g., `item.get('status')`).
- Profile the function with large datasets to validate performance gains.