Process Users Refactor

The model receives the prompt (and optional system message). The run uses scorer contains_all with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Refactor the following Python code to improve readability and structure without changing its behavior. Return only the refactored code.

```python
def process(users):
    result = []
    for i in range(len(users)):
        if users[i]["active"] == True:
            if users[i]["age"] >= 18:
                if users[i]["country"] == "DE":
                    result.append(users[i]["name"].strip().lower())
    return result
```

{
  "expected_contains": [
    "for user in users:",
    "result.append(user[\"name\"].strip().lower())",
    "return result"
  ]
}