src/estimagic/inference/bootstrap_ci.py
def _eqf(sample):
    """Return empirical quantile function of the given sample.

    Args:
        sample (pd.DataFrame): sample to base quantile function on.

    Returns:
        f (callable): quantile function for given sample.

    """

    def f(x):
        return np.quantile(sample, x)

    return f
Return empirical quantile function of the given sample.

    Args:
        sample (pd.DataFrame): sample to base quantile function on.

    Returns:
        f (callable): quantile function for given sample.

    
Return empirical quantile function of the given sample.
Return empirical quantile function of the given sample .
def _eqf(sample):
    def f(x):
        return np.quantile(sample, x)
    return f
def _eqf ( sample ) : def f ( x ) : return np . quantile ( sample , x ) return f
Return empirical quantile function of the given sample.
Return empirical quantile function of the given sample .
"""Return empirical quantile function of the given sample.

    Args:
        sample (pd.DataFrame): sample to base quantile function on.

    Returns:
        f (callable): quantile function for given sample.

    """
f (callable): quantile function for given sample.
f ( callable ) : quantile function for given sample .
sample
sample to base quantile function on.
sample to base quantile function on .