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Readable Name Check

Refactoringeasyscorer: contains_any

Code transformation while preserving behavior and intent.

How it is scored

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

User prompt
Refactor for readability without behavior change. Return only Python code.

def has_name(user):
    if "name" in user and len(user["name"].strip()) > 0:
        return True
    return False
Scorer config
{
  "expected_contains": [
    "bool(user.get(\"name\"",
    "return"
  ]
}
Run parameters

temperature

0

max_tokens

180

timeout (s)

120

type

scored

file

refactoring_easy_19.json

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