import numpy as np
N = int(input())
mod = 10**9 + 7
cycle = 2000000016


def matrix_power(A, N, mod):
    # returnA^N %moｄ in O(K**3 log N). (K is the size of A.)
    assert A.shape[0] == A.shape[1]
    K = A.shape[0]
    if N == 0:
        return np.eye(K, dtype=np.int64)
    else:
        if N % 2 == 0:
            mat = matrix_power(A, N//2, mod)
            return np.dot(mat, mat) % mod
        else:
            mat = matrix_power(A, N//2, mod)
            return np.dot(np.dot(mat, mat) % mod, A) % mod


def Fibonacci(N, mod):
    # return the n-th term of the fivonacci sequence  in O(logN).
    # F0=0,F1=1
    d = np.array([1, 0])
    A = np.array([[1, 1], [1, 0]], dtype=np.int64)
    res = np.dot(matrix_power(A, N, mod), d)
    return int(res[-1]) % mod


fibN = Fibonacci(N ,cycle)
print(Fibonacci(fibN, mod))