qiskit/visualization/interactive/iplot_qsphere.py
def lex_index(n, k, lst):
    """Return  the lex index of a combination..

    Args:
        n (int): the total number of options .
        k (int): The number of elements.
        lst (list): list

    Returns:
        int: returns int index for lex order

    Raises:
        VisualizationError: if length of list is not equal to k
    """
    if len(lst) != k:
        raise VisualizationError("list should have length k")
    comb = list(map(lambda x: n - 1 - x, lst))
    dualm = sum([n_choose_k(comb[k - 1 - i], i + 1) for i in range(k)])
    return int(dualm)
def lex_index(n, k, lst):
    if len(lst) != k:
        raise VisualizationError("list should have length k")
    comb = list(map(lambda x: n - 1 - x, lst))
    dualm = sum([n_choose_k(comb[k - 1 - i], i + 1) for i in range(k)])
    return int(dualm)
def lex_index ( n , k , lst ) : if len ( lst ) != k : raise VisualizationError ( "list should have length k" ) comb = list ( map ( lambda x : n - 1 - x , lst ) ) dualm = sum ( [ n_choose_k ( comb [ k - 1 - i ] , i + 1 ) for i in range ( k ) ] ) return int ( dualm )
Return  the lex index of a combination..

    Args:
        n (int): the total number of options .
        k (int): The number of elements.
        lst (list): list

    Returns:
        int: returns int index for lex order

    Raises:
        VisualizationError: if length of list is not equal to k
Return the lex index of a combination ..