
    Design a function to determine how many different possible daily parking demand patterns exist across 2n time slots, where the total demand during the first n time slots equals the total demand during the last n time slots, with each slot's demand being either high (1) or low (0). This analysis will help establish balanced pricing strategies between morning and evening periods.
    

    
def count_binary_seq(n):
    """
    Design a function to determine how many different possible daily parking demand patterns exist across 2n time slots, where the total demand during the first n time slots equals the total demand during the last n time slots, with each slot's demand being either high (1) or low (0). This analysis will help establish balanced pricing strategies between morning and evening periods.
    

    """
def count_binary_seq(n):
    """
    Design a function to determine how many different possible daily parking demand patterns exist across 2n time slots, where the total demand during the first n time slots equals the total demand during the last n time slots, with each slot's demand being either high (1) or low (0). This analysis will help establish balanced pricing strategies between morning and evening periods.
    

    """
    nCr = 1
    res = 1
    for r in range(1, n + 1):
        nCr = nCr * (n + 1 - r) / r
        res += nCr * nCr
    return res