MOD = 10**9 + 7

class FenwickTree:
    def __init__(self, size):
        self.n = size
        self.tree = [0] * (self.n + 1)
    
    def update(self, idx, delta):
        while idx <= self.n:
            self.tree[idx] += delta
            idx += idx & -idx
    
    def query(self, idx):
        res = 0
        while idx > 0:
            res += self.tree[idx]
            idx -= idx & -idx
        return res

n = int(input())
p = list(map(int, input().split()))

# Precompute factorials modulo MOD
fact = [1] * (n + 1)
for i in range(1, n + 1):
    fact[i] = fact[i-1] * i % MOD

# Initialize Fenwick Tree with all elements present
ft = FenwickTree(n)
for x in range(1, n + 1):
    ft.update(x, 1)

result = 0
for i in range(n):
    x = p[i]
    # Number of elements less than x that are still available
    count = ft.query(x - 1)
    # Multiply by the factorial of remaining elements
    result = (result + count * fact[n - i - 1]) % MOD
    # Mark x as used
    ft.update(x, -1)

# The rank is result + 1 (1-based indexing)
print((result + 1) % MOD)