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import numpy as np 


# Adding type hints for better code clarity and numpy style comments for documentation  
def mae(y_true: np.ndarray, y_pred: np.ndarray) -> float:
    """Mean Absolute Error

    Parameters

    ----------

    y_true : np.ndarray

        True values

    y_pred : np.ndarray

        Predicted values

    Returns

    -------

    float

        Mean Absolute Error

    """
    y_true = np.array(y_true)
    y_pred = np.array(y_pred)
    return np.mean(np.abs(y_true - y_pred))

def bias(y_true: np.ndarray, y_pred: np.ndarray) -> float:
    """Bias

    Parameters

    ----------

    y_true : np.ndarray

        True values

    y_pred : np.ndarray

        Predicted values

    Returns

    -------

    float

        Bias

    """
    y_true = np.array(y_true)
    y_pred = np.array(y_pred)
    return np.mean(y_pred - y_true)