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"""Cost model metrics for meta schedule"""

import numpy as np  # type: ignore


def max_curve(trial_scores: np.ndarray) -> np.ndarray:
    """f(n) = max([s[i] fo i < n])

    Parameters
    ----------
    trial_scores : List[float]
        the score of i-th trial

    Returns
    -------
    curve : np.ndarray
        A vector, the max-curve function values
    """
    ret = np.empty(len(trial_scores))
    keep = -1e9
    for i, score in enumerate(trial_scores):
        keep = max(keep, score)
        ret[i] = keep
    return ret