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:
from collections import deque
class mf_graph:
    n=1
    g=[[] for i in range(1)]
    pos=[]
    def __init__(self,N):
        self.n=N
        self.g=[[] for i in range(N)]
    def add_edge(self,From,To,cap):
        assert 0<=From and From<self.n
        assert 0<=To and To<self.n
        assert 0<=cap
        m=len(self.pos)
        self.pos.append((From,len(self.g[From])))
        self.g[From].append({"to":To,"rev":len(self.g[To]),"cap":cap})
        self.g[To].append({"to":From,"rev":len(self.g[From])-1,"cap":0})
        return m
    def get_edge(self,i):
        m=len(self.pos)
        assert 0<=i and i<m
        _e=self.g[self.pos[i][0]][self.pos[i][1]]
        _re=self.g[_e["to"]][_e["rev"]]
        return {"from":self.pos[i][0],
                "to":_e["to"],
                "cap":_e["cap"]+_re["cap"],
                "flow":_re["cap"]}
    def edges(self):
        m=len(self.pos)
        result=[]
        for i in range(m):
            result.append(self.get_edge(i))
        return result
    def change_edge(self,i,new_cap,new_flow):
        m=len(self.pos)
        assert 0<=i and i<m
        assert 0<=new_flow and new_flow<=new_cap
        _e=self.g[self.pos[i][0]][self.pos[i][1]]
        _re=self.g[_e["to"]][_e["rev"]]
        _e["cap"]=new_cap-new_flow
        _re["cap"]=new_flow
    def flow(self,s,t,flow_limit=(2**31)-1):
        assert 0<=s and s<self.n
        assert 0<=t and t<self.n
        level=[0 for i in range(self.n)]
        Iter=[0 for i in range(self.n)]
        que=deque([])
        def bfs():
            for i in range(self.n):
                level[i]=-1
            level[s]=0
            que=deque([])
            que.append(s)
            while(len(que)>0):
                v=que.popleft()
                for e in self.g[v]:
                    if e["cap"]==0 or level[e["to"]]>=0:continue
                    level[e["to"]]=level[v]+1
                    if e["to"]==t:return
                    que.append(e["to"])
        def dfs(func,v,up):
            if (v==s):return up
            res=0
            level_v=level[v]
            for i in range(Iter[v],len(self.g[v])):
                e=self.g[v][i]
                if (level_v<=level[e["to"]] or self.g[e["to"]][e["rev"]]["cap"]==0):continue
                d=func(func,e["to"],min(up-res,self.g[e["to"]][e["rev"]]["cap"]))
                if d<=0:continue
                self.g[v][i]["cap"]+=d
                self.g[e["to"]][e["rev"]]["cap"]-=d
                res+=d
                if res==up:break
            return res
        flow=0
        while(flow<flow_limit):
            bfs()
            if level[t]==-1:
                break
            for i in range(self.n):
                Iter[i]=0
            while(flow<flow_limit):
                f=dfs(dfs,t,flow_limit-flow)
                if not(f):break
                flow+=f
        return flow
    def min_cut(s):
        visited=[False for i in range(self.n)]
        que=deque([])
        que.append(s)
        while(len(que)>0):
            p=que.popleft()
            visited[p]=True
            for e in self.g[p]:
                if e["cap"] and not(visited[e["to"]]):
                    visited[e["to"]]=True
                    que.append(e["to"])
        return visited

N,M=map(int,input().split())
S=[list(input()) for i in range(N)]
G=mf_graph(N*M+2)
for i in range(N):
    for j in range(M):
        if S[i][j]=="#":continue
        v=i*M+j
        if (i+j)%2==0:
            G.add_edge(N*M,v,1)
        else:
            G.add_edge(v,N*M+1,1)
for i in range(N):
    for j in range(M):
        if (i+j)%2 or S[i][j]=="#":continue
        v0=i*M+j
        if i>0 and S[i-1][j]==".":
            v1=(i-1)*M+j
            G.add_edge(v0,v1,1)
        if j>0 and S[i][j-1]==".":
            v1=i*M+(j-1)
            G.add_edge(v0,v1,1)
        if i+1<N and S[i+1][j]==".":
            v1=(i+1)*M+j
            G.add_edge(v0,v1,1)
        if j+1<M and S[i][j+1]==".":
            v1=i*M+(j+1)
            G.add_edge(v0,v1,1)

print(G.flow(N*M,N*M+1))

T=[[S[i][j] for j in range(M)] for i in range(N)]
for e in G.edges():
    if e["from"]==N*M or e["to"]==N*M+1 or e["flow"]==0:
        continue
    i0=e["from"]//M
    j0=e["from"]%M
    i1=e["to"]//M
    j1=e["to"]%M
    if i0==i1+1:
        T[i1][j1]="v"
        T[i0][j0]="^"
    elif j0==j1+1:
        T[i1][j1]=">";T[i0][j0]="<"
    elif i0==i1-1:
        T[i0][j0]="v"
        T[i1][j1]="^"
    else:
        T[i0][j0]=">";T[i1][j1]="<"

for i in range(N):
    print("".join(T[i]))