def boundaries_to_intervals(boundaries):
    """Convert an array of event times into intervals

    Parameters
    ----------
    boundaries : list-like
        List-like of event times.  These are assumed to be unique
        timestamps in ascending order.

    Returns
    -------
    intervals : np.ndarray, shape=(n_intervals, 2)
        Start and end time for each interval
    """

    if not np.allclose(boundaries, np.unique(boundaries)):
        raise ValueError('Boundary times are not unique or not ascending.')

    intervals = np.asarray(list(zip(boundaries[:-1], boundaries[1:])))

    return intervals
def boundaries_to_intervals ( boundaries ) : if not np . allclose ( boundaries , np . unique ( boundaries ) ) : raise ValueError ( 'Boundary times are not unique or not ascending.' ) intervals = np . asarray ( list ( zip ( boundaries [ : - 1 ] , boundaries [ 1 : ] ) ) ) return intervals
Convert an array of event times into intervals

    Parameters
    ----------
    boundaries : list-like
        List-like of event times.  These are assumed to be unique
        timestamps in ascending order.

    Returns
    -------
    intervals : np.ndarray, shape=(n_intervals, 2)
        Start and end time for each interval