from bisect import * from copy import * def compress(lst): B = [] D = dict() vals = deepcopy(lst) vals = list(set(vals)) vals.sort() for i in range(len(lst)): ind = bisect_left(vals, lst[i]) B.append(ind) for i in range(len(B)): D[lst[i]] = B[i] return B, D, vals class SegmentTree: def __init__(self, n, identity_e, combine_f, ): self._n = n self._size = 1 while self._size < self._n: self._size <<= 1 self._identity_e = identity_e self._combine_f = combine_f self._node = [self._identity_e] * (2 * self._size) def build(self, array): assert len(array) == self._n for index, value in enumerate(array, start=self._size): self._node[index] = value for index in range(self._size - 1, 0, -1): self._node[index] = self._combine_f( self._node[index << 1 | 0], self._node[index << 1 | 1] ) def update(self, index, value): i = self._size + index self._node[i] = value while i > 1: i >>= 1 self._node[i] = self._combine_f( self._node[i << 1 | 0], self._node[i << 1 | 1] ) def fold(self, L, R): L += self._size R += self._size value_L = self._identity_e value_R = self._identity_e while L < R: if L & 1: value_L = self._combine_f(value_L, self._node[L]) L += 1 if R & 1: R -= 1 value_R = self._combine_f(self._node[R], value_R) L >>= 1 R >>= 1 return self._combine_f(value_L, value_R) N = int(input()) A = list(map(int, input().split())) + [-10**18] A = compress(A)[0] mod = 10 ** 9 + 7 def op(t1, t2): m1, v1 = t1 m2, v2 = t2 if m1 == m2: return m1, (v1 + v2) % mod elif m1 > m2: return t1 else: return t2 T = SegmentTree(N + 1, (0, 0), op) T.update(0, (1, 1)) for i in range(N): t = T.fold(0, A[i]) now = T.fold(A[i], A[i] + 1) T.update(A[i], op((t[0] + 1, t[1]), now)) print(T.fold(0, N + 1)[1] % mod)