A data scientist is tuning an XGBoost model on a single-node Databricks cluster using Hyperopt. They define a search space, an objective function that returns a dictionary with keys 'loss' and 'status', and call fmin() with the TPE algorithm. They want the optimization to try exactly 60 different hyperparameter configurations before stopping. Which fmin() argument controls this behavior?