Function _nanquantile_unchecked

numpy/lib/_nanfunctions_impl.py:1577–1602

Assumes that q is in [0, 1], and is an ndarray

(
        a,
        q,
        axis=None,
        out=None,
        overwrite_input=False,
        method="linear",
        keepdims=np._NoValue,
        weights=None,
        weak_q=False,
)

def _nanquantile_unchecked(
        a,
        q,
        axis=None,
        out=None,
        overwrite_input=False,
        method="linear",
        keepdims=np._NoValue,
        weights=None,
        weak_q=False,
):
    """Assumes that q is in [0, 1], and is an ndarray"""
    # apply_along_axis in _nanpercentile doesn't handle empty arrays well,
    # so deal them upfront
    if a.size == 0:
        return np.nanmean(a, axis, out=out, keepdims=keepdims)
    return fnb._ureduce(a,
                        func=_nanquantile_ureduce_func,
                        q=q,
                        weights=weights,
                        keepdims=keepdims,
                        axis=axis,
                        out=out,
                        overwrite_input=overwrite_input,
                        method=method,
                        weak_q=weak_q)


def _nanquantile_ureduce_func(