Problem: You are given a grid of N rows and M columns. The square at the i-th row and j-th column will be denoted as (i,j). Some of the squares contain an object. All the remaining squares are empty. The state of the grid is represented by strings S_1,S_2,\cdots,S_N. The square (i,j) contains an object if S_{i,j}= `#` and is empty if S_{i,j}= `.`.

Consider placing 1 \times 2 tiles on the grid. Tiles can be placed vertically or horizontally to cover two adjacent empty squares. Tiles must not stick out of the grid, and no two different tiles may intersect. Tiles cannot occupy the square with an object.

Calculate the maximum number of tiles that can be placed and any configulation that acheives the maximum.

Constraints

* 1 \leq N \leq 100
* 1 \leq M \leq 100
* S_i is a string with length M consists of `#` and `.`.

Input

Input is given from Standard Input in the following format:


N M
S_1
S_2
\vdots
S_N


Output

On the first line, print the maximum number of tiles that can be placed.

On the next N lines, print a configulation that achieves the maximum. Precisely, output the strings t_1,t_2,\cdots,t_N constructed by the following way.

* t_i is initialized to S_i.
* For each (i,j), if there is a tile that occupies (i,j) and (i+1,j), change t_{i,j}:=`v`, t_{i+1,j}:=`^`.
* For each (i,j), if there is a tile that occupies (i,j) and (i,j+1), change t_{i,j}:=`>`, t_{i,j+1}:=`<`.



See samples for further information.

You may print any configulation that maximizes the number of tiles.

Examples

Input

3 3
#..
..#
...


Output

3
#><
vv#
^^.


Input

3 3
..
..#
...


Output

3
><
vv#
^^.

Solution (in PYTHON3):

Solution:
# thanks: https://atcoder.jp/contests/practice2/submissions/16784996

#!usr/bin/env python3
from collections import defaultdict, deque, Counter, OrderedDict
from bisect import bisect_left, bisect_right
from functools import reduce, lru_cache
from heapq import heappush, heappop, heapify

import itertools
import math, fractions
import sys, copy

def L(): return sys.stdin.readline().split()
def I(): return int(sys.stdin.readline().rstrip())
def SL(): return list(sys.stdin.readline().rstrip())
def LI(): return [int(x) for x in sys.stdin.readline().split()]
def LI1(): return [int(x) - 1 for x in sys.stdin.readline().split()]
def LS(): return [list(x) for x in sys.stdin.readline().split()]
def R(n): return [sys.stdin.readline().strip() for _ in range(n)]
def LR(n): return [L() for _ in range(n)]
def IR(n): return [I() for _ in range(n)]
def LIR(n): return [LI() for _ in range(n)]
def LIR1(n): return [LI1() for _ in range(n)]
def SLR(n): return [SL() for _ in range(n)]
def LSR(n): return [LS() for _ in range(n)]

def perm(n, r): return math.factorial(n) // math.factorial(r)
def comb(n, r): return math.factorial(n) // (math.factorial(r) * math.factorial(n-r))

def make_list(n, *args, default=0): return [make_list(*args, default=default) for _ in range(n)] if args else [default for _ in range(n)]

dire = [[1, 0], [0, 1], [-1, 0], [0, -1]]
dire8 = [[1, 0], [1, 1], [0, 1], [-1, 1], [-1, 0], [-1, -1], [0, -1], [1, -1]]
alphabets = "abcdefghijklmnopqrstuvwxyz"
ALPHABETS = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
MOD = 1000000007
INF = float("inf")

sys.setrecursionlimit(1000000)

class MaxFlowGraph:
    def __init__(self, N):
        self.N = N
        self.graph = [[] for _ in range(N)]
        self.paths = []
        self.capacities = [dict() for _ in range(N)]

    def add_edge(self, v, w, cap=1):
        self.graph[v].append(w)
        self.graph[w].append(v)
        self.capacities[v][w] = cap
        self.capacities[w][v] = 0

    def dinic_bfs(self, s, t):
        self.level = [-1] * self.N
        q = deque([s])
        self.level[s] = 0
        while q:
            v = q.popleft()
            for w, cap in self.capacities[v].items():
                if cap and self.level[w] == -1:
                    self.level[w] = self.level[v] + 1
                    if w == t: return True
                    q.append(w)
        return False

    def dinic_dfs(self, s, t, limit):
        st = [t]
        while st:
            v = st[-1]
            if v == s: break
            #vから行ける全ての頂点について
            while self.it[v] < len(self.graph[v]):
                # w -> v の cap
                w = self.graph[v][self.it[v]]
                cap = self.capacities[w][v]
                if cap and self.level[w] != -1 and self.level[v] > self.level[w]:
                    st.append(w)
                    break
                self.it[v] += 1
            else:
                st.pop()
                self.level[v] = self.N
        else: return 0

        flow = min(limit, min(self.capacities[st[i + 1]][st[i]] for i in range(len(st) - 2)))
        for i in range(len(st) - 1):
            self.capacities[st[i]][st[i+1]] += flow
            self.capacities[st[i+1]][st[i]] -= flow
        self.paths.append(st)
        return flow

    def dinic_flow(self, s, t, flow_limit=18446744073709551615):
        flow = 0
        while flow < flow_limit and self.dinic_bfs(s, t):
            self.it = [0]*self.N
            while flow < flow_limit:
                f = self.dinic_dfs(s, t, flow_limit - flow)
                if not f: break
                flow += f
        return flow

    def min_cut(self, s):
        visited = [False]*self.N
        q = [s]
        while q:
            v = q.pop()
            visited[v] = True
            for w, cap in self.capacities[v].items():
                if cap and not visited[w]:
                    q.append(w)

def main():
    N, M = LI()
    S = SLR(N)
    g = MaxFlowGraph(N*M+2)

    s = N*M
    t = N*M+1

    # 偶数はblack, 奇数はwhiteとして市松模様に塗る、二部グラフの最大マッチング問題
    # s -> black -> white -> t の辺を張って最大流を求める
    for y in range(N):
        for x in range(M):
            # black
            if (y+x) % 2 == 0:
                g.add_edge(s, M*y+x)
                for dy, dx in [[1, 0], [0, 1]]:
                    ny, nx = y + dy, x + dx
                    if 0 <= ny < N and 0 <= nx < M and S[y][x] == "." and S[ny][nx] == ".":
                        g.add_edge(M*y+x, M*ny+nx)
            # white
            else:
                g.add_edge(M*y+x, t)
                for dy, dx in [[1, 0], [0, 1]]:
                    ny, nx = y + dy, x + dx
                    if 0 <= ny < N and 0 <= nx < M and S[y][x] == "." and S[ny][nx] == ".":
                        g.add_edge(M*ny+nx, M*y+x)

    print(g.dinic_flow(s, t))
    # print(paths)
    # for path in g.paths:
    #     u, v = path[1:-1]
    #     uy, ux = divmod(u, M)
    #     vy, vx = divmod(v, M)
    #     if uy - 1 == vy:
    #         S[uy][ux], S[vy][vx] = "^", "v"
    #     elif uy + 1 == vy:
    #         S[uy][ux], S[vy][vx] = "v", "^"
    #     elif ux + 1 == vx:
    #         S[uy][ux], S[vy][vx] = ">", "<"
    #     elif ux - 1 == vx:
    #         S[uy][ux], S[vy][vx] = "<", ">"
    # for p in S:
    #     print("".join(p))

    # blackから考える
    for u in range(N*M+2):
        uy, ux = divmod(u, M)
        if (uy + ux) % 2 == 1: continue

        for v, cap in g.capacities[u].items():
            if cap != 0: continue
            vy, vx = divmod(v, M)
            if u != s and u != t and v != s and v != t:
                if uy - 1 == vy:
                    S[uy][ux], S[vy][vx] = "^", "v"
                elif uy + 1 == vy:
                    S[uy][ux], S[vy][vx] = "v", "^"
                elif ux + 1 == vx:
                    S[uy][ux], S[vy][vx] = ">", "<"
                elif ux - 1 == vx:
                    S[uy][ux], S[vy][vx] = "<", ">"

    for p in S:
        print("".join(p))



if __name__ == '__main__':
    main()