Problem:
 Score : 100 points    Problem Statement 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.        Sample Input 1 3 3
#..
..#
...      Sample Output 1 3
#><
vv#
^^.  The following output is also treated as a correct answer.  3
#><
v.#
^><

Solution (Python):



code_mf_graph = r"""




// 元のライブラリの private を剥がした

// >>> AtCoder >>>











namespace atcoder {

namespace internal {

template <class T> struct simple_queue {
    std::vector<T> payload;
    int pos = 0;
    void reserve(int n) { payload.reserve(n); }
    int size() const { return int(payload.size()) - pos; }
    bool empty() const { return pos == int(payload.size()); }
    void push(const T& t) { payload.push_back(t); }
    T& front() { return payload[pos]; }
    void clear() {
        payload.clear();
        pos = 0;
    }
    void pop() { pos++; }
};

}  // namespace internal

}  // namespace atcoder








namespace atcoder {

template <class Cap> struct mf_graph {
  public:
    mf_graph() : _n(0) {}
    mf_graph(int n) : _n(n), g(n) {}

    int add_edge(int from, int to, Cap cap) {
        assert(0 <= from && from < _n);
        assert(0 <= to && to < _n);
        assert(0 <= cap);
        int m = int(pos.size());
        pos.push_back({from, int(g[from].size())});
        int from_id = int(g[from].size());
        int to_id = int(g[to].size());
        if (from == to) to_id++;
        g[from].push_back(_edge{to, to_id, cap});
        g[to].push_back(_edge{from, from_id, 0});
        return m;
    }

    struct edge {
        int from, to;
        Cap cap, flow;
    };

    edge get_edge(int i) {
        int m = int(pos.size());
        assert(0 <= i && i < m);
        auto _e = g[pos[i].first][pos[i].second];
        auto _re = g[_e.to][_e.rev];
        return edge{pos[i].first, _e.to, _e.cap + _re.cap, _re.cap};
    }
    std::vector<edge> edges() {
        int m = int(pos.size());
        std::vector<edge> result;
        for (int i = 0; i < m; i++) {
            result.push_back(get_edge(i));
        }
        return result;
    }
    void change_edge(int i, Cap new_cap, Cap new_flow) {
        int m = int(pos.size());
        assert(0 <= i && i < m);
        assert(0 <= new_flow && new_flow <= new_cap);
        auto& _e = g[pos[i].first][pos[i].second];
        auto& _re = g[_e.to][_e.rev];
        _e.cap = new_cap - new_flow;
        _re.cap = new_flow;
    }

    Cap flow(int s, int t) {
        return flow(s, t, std::numeric_limits<Cap>::max());
    }
    Cap flow(int s, int t, Cap flow_limit) {
        assert(0 <= s && s < _n);
        assert(0 <= t && t < _n);
        assert(s != t);

        std::vector<int> level(_n), iter(_n);
        internal::simple_queue<int> que;

        auto bfs = [&]() {
            std::fill(level.begin(), level.end(), -1);
            level[s] = 0;
            que.clear();
            que.push(s);
            while (!que.empty()) {
                int v = que.front();
                que.pop();
                for (auto e : g[v]) {
                    if (e.cap == 0 || level[e.to] >= 0) continue;
                    level[e.to] = level[v] + 1;
                    if (e.to == t) return;
                    que.push(e.to);
                }
            }
        };
        auto dfs = [&](auto self, int v, Cap up) {
            if (v == s) return up;
            Cap res = 0;
            int level_v = level[v];
            for (int& i = iter[v]; i < int(g[v].size()); i++) {
                _edge& e = g[v][i];
                if (level_v <= level[e.to] || g[e.to][e.rev].cap == 0) continue;
                Cap d =
                    self(self, e.to, std::min(up - res, g[e.to][e.rev].cap));
                if (d <= 0) continue;
                g[v][i].cap += d;
                g[e.to][e.rev].cap -= d;
                res += d;
                if (res == up) break;
            }
            return res;
        };

        Cap flow = 0;
        while (flow < flow_limit) {
            bfs();
            if (level[t] == -1) break;
            std::fill(iter.begin(), iter.end(), 0);
            while (flow < flow_limit) {
                Cap f = dfs(dfs, t, flow_limit - flow);
                if (!f) break;
                flow += f;
            }
        }
        return flow;
    }

    std::vector<bool> min_cut(int s) {
        std::vector<bool> visited(_n);
        internal::simple_queue<int> que;
        que.push(s);
        while (!que.empty()) {
            int p = que.front();
            que.pop();
            visited[p] = true;
            for (auto e : g[p]) {
                if (e.cap && !visited[e.to]) {
                    visited[e.to] = true;
                    que.push(e.to);
                }
            }
        }
        return visited;
    }

//  private:
    int _n;
    struct _edge {
        int to, rev;
        Cap cap;
    };
    std::vector<std::pair<int, int>> pos;
    std::vector<std::vector<_edge>> g;
};

}  // namespace atcoder



// <<< AtCoder <<<

using namespace std;
using namespace atcoder;



struct MFGraph{
    PyObject_HEAD
    mf_graph<long long>* graph;
    //unique_ptr<mf_graph<long long>> graph;
};

struct MFGraphEdge{
    PyObject_HEAD
    mf_graph<long long>::edge* edge;
    //unique_ptr<mf_graph<long long>::edge> edge;
};


extern PyTypeObject MFGraphType;
extern PyTypeObject MFGraphEdgeType;


// >>> MFGraph definition >>>

static void MFGraph_dealloc(MFGraph* self){
    delete self->graph;
    Py_TYPE(self)->tp_free((PyObject*)self);
}
static PyObject* MFGraph_new(PyTypeObject* type, PyObject* args, PyObject* kwds){
    MFGraph* self;
    self = (MFGraph*)type->tp_alloc(type, 0);
    return (PyObject*)self;
}
static int MFGraph_init(MFGraph* self, PyObject* args){
    long n;
    if(!PyArg_ParseTuple(args, "l", &n)) return -1;
    if(n < 0 || n > (long)1e8){
        PyErr_Format(PyExc_IndexError,
            "constraint error in MFGraph constructor (constraint: 0<=n<=1e8, got n=%d)", n);
        return -1;
    }
    //self->graph = make_unique<mf_graph<long long>>(n);
    self->graph = new mf_graph<long long>(n);
    return 0;
}
static PyObject* MFGraph_add_edge(MFGraph* self, PyObject* args){
    long from, to;
    long long cap;
    PARSE_ARGS("llL", &from, &to, &cap);
    if(from < 0 || from >= self->graph->_n || to < 0 || to >= self->graph->_n){
        PyErr_Format(PyExc_IndexError,
            "MFGraph add_edge index out of range (n=%d, from=%d, to=%d)", self->graph->_n, from, to);
        return (PyObject*)NULL;
    }
    if(from == to){
        PyErr_Format(PyExc_IndexError, "got self-loop (from=%d, to=%d)", from, to);
        return (PyObject*)NULL;
    }
    if(cap < 0){
        PyErr_Format(PyExc_IndexError, "got negative cap (cap=%d)", cap);
        return (PyObject*)NULL;
    }
    const int res = self->graph->add_edge(from, to, cap);
    return Py_BuildValue("l", res);
}
static PyObject* MFGraph_flow(MFGraph* self, PyObject* args){
    long s, t;
    long long flow_limit = numeric_limits<long long>::max();
    PARSE_ARGS("ll|L", &s, &t, &flow_limit);
    if(s < 0 || s >= self->graph->_n || t < 0 || t >= self->graph->_n){
        PyErr_Format(PyExc_IndexError,
            "MFGraph flow index out of range (n=%d, s=%d, t=%d)", self->graph->_n, s, t);
        return (PyObject*)NULL;
    }
    if(s == t){
        PyErr_Format(PyExc_IndexError, "got s == t (s=%d, t=%d)", s, t);
        return (PyObject*)NULL;
    }
    const long long& flow = self->graph->flow(s, t, flow_limit);
    return Py_BuildValue("L", flow);
}
static PyObject* MFGraph_min_cut(MFGraph* self, PyObject* args){
    long s;
    PARSE_ARGS("l", &s);
    if(s < 0 || s >= self->graph->_n){
        PyErr_Format(PyExc_IndexError,
            "MFGraph min_cut index out of range (n=%d, s=%d)", self->graph->_n, s);
        return (PyObject*)NULL;
    }
    const vector<bool>& vec = self->graph->min_cut(s);
    PyObject* list = PyList_New(vec.size());
    for(int i = 0; i < (int)vec.size(); i++){
        PyObject* b = vec[i] ? Py_True : Py_False;
        Py_INCREF(b);
        PyList_SET_ITEM(list, i, b);
    }
    return list;
}
static PyObject* MFGraph_get_edge(MFGraph* self, PyObject* args){
    long i;
    PARSE_ARGS("l", &i);
    const int m = (int)self->graph->pos.size();
    if(i < 0 || i >= m){
        PyErr_Format(PyExc_IndexError,
            "MFGraph get_edge index out of range (m=%d, i=%d)", m, i);
        return (PyObject*)NULL;
    }
    MFGraphEdge* edge = PyObject_NEW(MFGraphEdge, &MFGraphEdgeType);
    //edge->edge = make_unique<mf_graph<long long>::edge>(self->graph->get_edge(i));  // なぜか edge に値が入っていて詰まる
    edge->edge = new mf_graph<long long>::edge(self->graph->get_edge(i));
    return (PyObject*)edge;
}
static PyObject* MFGraph_edges(MFGraph* self, PyObject* args){
    const auto& edges = self->graph->edges();
    const int m = (int)edges.size();
    PyObject* list = PyList_New(m);
    for(int i = 0; i < m; i++){
        MFGraphEdge* edge = PyObject_NEW(MFGraphEdge, &MFGraphEdgeType);
        //edge->edge = make_unique<mf_graph<long long>::edge>(edges[i]);
        edge->edge = new mf_graph<long long>::edge(edges[i]);
        PyList_SET_ITEM(list, i, (PyObject*)edge);
    }
    return list;
}
static PyObject* MFGraph_change_edge(MFGraph* self, PyObject* args){
    long i;
    long long new_cap, new_flow;
    PARSE_ARGS("lLL", &i, &new_cap, &new_flow);
    const int m = (int)self->graph->pos.size();
    if(i < 0 || i >= m){
        PyErr_Format(PyExc_IndexError,
            "MFGraph change_edge index out of range (m=%d, i=%d)", m, i);
        return (PyObject*)NULL;
    }
    if(new_flow < 0 || new_cap < new_flow){
        PyErr_Format(
            PyExc_IndexError,
            "MFGraph change_edge constraint error (constraint: 0<=new_flow<=new_cap, got new_flow=%lld, new_cap=%lld)",
            new_flow, new_cap
        );
        return (PyObject*)NULL;
    }
    self->graph->change_edge(i, new_cap, new_flow);
    Py_RETURN_NONE;
}
static PyObject* MFGraph_repr(PyObject* self){
    PyObject* edges = MFGraph_edges((MFGraph*)self, NULL);
    PyObject* res = PyUnicode_FromFormat("MFGraph(%R)", edges);
    Py_DECREF(edges);
    return res;
}
static PyMethodDef MFGraph_methods[] = {
    {"add_edge", (PyCFunction)MFGraph_add_edge, METH_VARARGS, "Add edge"},
    {"flow", (PyCFunction)MFGraph_flow, METH_VARARGS, "Flow"},
    {"min_cut", (PyCFunction)MFGraph_min_cut, METH_VARARGS, "Get vertices those can be reached from source"},
    {"get_edge", (PyCFunction)MFGraph_get_edge, METH_VARARGS, "Get edge"},
    {"edges", (PyCFunction)MFGraph_edges, METH_VARARGS, "Get edges"},
    {"change_edge", (PyCFunction)MFGraph_change_edge, METH_VARARGS, "Change edge"},
    {NULL}  /* Sentinel */
};
PyTypeObject MFGraphType = {
    PyObject_HEAD_INIT(NULL)
    "atcoder.MFGraph",                  /*tp_name*/
    sizeof(MFGraph),                    /*tp_basicsize*/
    0,                                  /*tp_itemsize*/
    (destructor)MFGraph_dealloc,        /*tp_dealloc*/
    0,                                  /*tp_print*/
    0,                                  /*tp_getattr*/
    0,                                  /*tp_setattr*/
    0,                                  /*reserved*/
    MFGraph_repr,                       /*tp_repr*/
    0,                                  /*tp_as_number*/
    0,                                  /*tp_as_sequence*/
    0,                                  /*tp_as_mapping*/
    0,                                  /*tp_hash*/
    0,                                  /*tp_call*/
    0,                                  /*tp_str*/
    0,                                  /*tp_getattro*/
    0,                                  /*tp_setattro*/
    0,                                  /*tp_as_buffer*/
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/
    0,                                  /*tp_doc*/
    0,                                  /*tp_traverse*/
    0,                                  /*tp_clear*/
    0,                                  /*tp_richcompare*/
    0,                                  /*tp_weaklistoffset*/
    0,                                  /*tp_iter*/
    0,                                  /*tp_iternext*/
    MFGraph_methods,                    /*tp_methods*/
    0,                                  /*tp_members*/
    0,                                  /*tp_getset*/
    0,                                  /*tp_base*/
    0,                                  /*tp_dict*/
    0,                                  /*tp_descr_get*/
    0,                                  /*tp_descr_set*/
    0,                                  /*tp_dictoffset*/
    (initproc)MFGraph_init,             /*tp_init*/
    0,                                  /*tp_alloc*/
    MFGraph_new,                        /*tp_new*/
    0,                                  /*tp_free*/
    0,                                  /*tp_is_gc*/
    0,                                  /*tp_bases*/
    0,                                  /*tp_mro*/
    0,                                  /*tp_cache*/
    0,                                  /*tp_subclasses*/
    0,                                  /*tp_weaklist*/
    0,                                  /*tp_del*/
    0,                                  /*tp_version_tag*/
    0,                                  /*tp_finalize*/
};

// <<< MFGraph definition <<<


// >>> MFGraphEdge definition >>>

static void MFGraphEdge_dealloc(MFGraphEdge* self){
    delete self->edge;
    Py_TYPE(self)->tp_free((PyObject*)self);
}
static PyObject* MFGraphEdge_new(PyTypeObject* type, PyObject* args, PyObject* kwds){
    //MFGraphEdge* self;
    //self = (MFGraphEdge*)type->tp_alloc(type, 0);
    //return (PyObject*)self;
    return type->tp_alloc(type, 0);
}
static int MFGraphEdge_init(MFGraphEdge* self, PyObject* args){
    int from, to;
    long long cap, flow;
    if(!PyArg_ParseTuple(args, "llLL", &from, &to, &cap, &flow)) return -1;
    //self->edge = make_unique<mf_graph<long long>::edge>(mf_graph<long long>::edge{from, to, cap, flow});
    self->edge = new mf_graph<long long>::edge(mf_graph<long long>::edge{from, to, cap, flow});
    return 0;
}
static PyObject* MFGraphEdge_get_from(MFGraphEdge* self, PyObject* args){
    return PyLong_FromLong(self->edge->from);
}
static PyObject* MFGraphEdge_get_to(MFGraphEdge* self, PyObject* args){
    return PyLong_FromLong(self->edge->to);
}
static PyObject* MFGraphEdge_get_flow(MFGraphEdge* self, PyObject* args){
    return PyLong_FromLongLong(self->edge->flow);
}
static PyObject* MFGraphEdge_get_cap(MFGraphEdge* self, PyObject* args){
    return PyLong_FromLongLong(self->edge->cap);
}
static PyObject* MFGraphEdge_repr(PyObject* self){
    MFGraphEdge* self_ = (MFGraphEdge*)self;
    PyObject* res = PyUnicode_FromFormat("MFGraphEdge(%2d -> %2d, %2lld / %2lld)",
        self_->edge->from, self_->edge->to, self_->edge->flow, self_->edge->cap);
    return res;
}
PyGetSetDef MFGraphEdge_getsets[] = {
    {"from_", (getter)MFGraphEdge_get_from, NULL, NULL, NULL},
    {"to", (getter)MFGraphEdge_get_to, NULL, NULL, NULL},
    {"flow", (getter)MFGraphEdge_get_flow, NULL, NULL, NULL},
    {"cap", (getter)MFGraphEdge_get_cap, NULL, NULL, NULL},
    {NULL}
};
PyTypeObject MFGraphEdgeType = {
    PyObject_HEAD_INIT(NULL)
    "atcoder.MFGraphEdge",              /*tp_name*/
    sizeof(MFGraphEdge),                /*tp_basicsize*/
    0,                                  /*tp_itemsize*/
    (destructor)MFGraphEdge_dealloc,    /*tp_dealloc*/
    0,                                  /*tp_print*/
    0,                                  /*tp_getattr*/
    0,                                  /*tp_setattr*/
    0,                                  /*reserved*/
    MFGraphEdge_repr,                   /*tp_repr*/
    0,                                  /*tp_as_number*/
    0,                                  /*tp_as_sequence*/
    0,                                  /*tp_as_mapping*/
    0,                                  /*tp_hash*/
    0,                                  /*tp_call*/
    0,                                  /*tp_str*/
    0,                                  /*tp_getattro*/
    0,                                  /*tp_setattro*/
    0,                                  /*tp_as_buffer*/
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/
    0,                                  /*tp_doc*/
    0,                                  /*tp_traverse*/
    0,                                  /*tp_clear*/
    0,                                  /*tp_richcompare*/
    0,                                  /*tp_weaklistoffset*/
    0,                                  /*tp_iter*/
    0,                                  /*tp_iternext*/
    0,                                  /*tp_methods*/
    0,                                  /*tp_members*/
    MFGraphEdge_getsets,                /*tp_getset*/
    0,                                  /*tp_base*/
    0,                                  /*tp_dict*/
    0,                                  /*tp_descr_get*/
    0,                                  /*tp_descr_set*/
    0,                                  /*tp_dictoffset*/
    (initproc)MFGraphEdge_init,         /*tp_init*/
    0,                                  /*tp_alloc*/
    MFGraphEdge_new,                    /*tp_new*/
    0,                                  /*tp_free*/
    0,                                  /*tp_is_gc*/
    0,                                  /*tp_bases*/
    0,                                  /*tp_mro*/
    0,                                  /*tp_cache*/
    0,                                  /*tp_subclasses*/
    0,                                  /*tp_weaklist*/
    0,                                  /*tp_del*/
    0,                                  /*tp_version_tag*/
    0,                                  /*tp_finalize*/
};

// <<< MFGraphEdge definition <<<


static PyModuleDef atcodermodule = {
    PyModuleDef_HEAD_INIT,
    "atcoder",
    NULL,
    -1,
};

PyMODINIT_FUNC PyInit_atcoder(void)
{
    PyObject* m;
    if(PyType_Ready(&MFGraphType) < 0) return NULL;
    if(PyType_Ready(&MFGraphEdgeType) < 0) return NULL;

    m = PyModule_Create(&atcodermodule);
    if(m == NULL) return NULL;

    Py_INCREF(&MFGraphType);
    if (PyModule_AddObject(m, "MFGraph", (PyObject*)&MFGraphType) < 0) {
        Py_DECREF(&MFGraphType);
        Py_DECREF(m);
        return NULL;
    }
    
    Py_INCREF(&MFGraphEdgeType);
    if (PyModule_AddObject(m, "MFGraphEdge", (PyObject*)&MFGraphEdgeType) < 0) {
        Py_DECREF(&MFGraphEdgeType);
        Py_DECREF(m);
        return NULL;
    }
    return m;
}
"""
code_mf_graph_setup = r"""
from distutils.core import setup, Extension
module = Extension(
    "atcoder",
    sources=["mf_graph.cpp"],
    extra_compile_args=["-O3", "-march=native", "-std=c++14"]
)
setup(
    name="atcoder-library",
    version="0.0.1",
    description="wrapper for atcoder library",
    ext_modules=[module]
)
"""

import os
import sys

if sys.argv[-1] == "ONLINE_JUDGE" or os.getcwd() != "/imojudge/sandbox":
    with open("mf_graph.cpp", "w") as f:
        f.write(code_mf_graph)
    with open("mf_graph_setup.py", "w") as f:
        f.write(code_mf_graph_setup)
    os.system(f"{sys.executable} mf_graph_setup.py build_ext --inplace")

from atcoder import MFGraph, MFGraphEdge


def main():
    N, M = map(int, input().split())
    grid = [list(input()) for _ in range(N)]
    g = MFGraph(N * M + 2)
    s = N * M
    t = N * M + 1
    for i in range(N):
        for j in range(M):
            if grid[i][j] == "
                continue
            v = i * M + j
            if (i + j) % 2 == 0:
                g.add_edge(s, v, 1)
            else:
                g.add_edge(v, t, 1)
    for i in range(N):
        for j in range(M):
            if (i + j) % 2 or grid[i][j] == "
                continue
            v0 = i * M + j
            if i and grid[i-1][j] == ".":
                g.add_edge(v0, v0-M, 1)
            if j and grid[i][j-1] == ".":
                g.add_edge(v0, v0-1, 1)
            if i + 1 < N and grid[i+1][j] == ".":
                g.add_edge(v0, v0+M, 1)
            if j + 1 < M and grid[i][j+1] == ".":
                g.add_edge(v0, v0+1, 1)
    print(g.flow(s, t))
    edges = g.edges()
    for e in edges:
        if e.from_ == s or e.to == t or e.flow == 0:
            continue
        i0, j0 = divmod(e.from_, M)
        i1, j1 = divmod(e.to, M)
        if i0 == i1 + 1:
            grid[i1][j1] = "v"
            grid[i0][j0] = "^"
        elif j0 == j1 + 1:
            grid[i1][j1] = ">"
            grid[i0][j0] = "<"
        elif i0 == i1 - 1:
            grid[i0][j0] = "v"
            grid[i1][j1] = "^"
        else:
            grid[i0][j0] = ">"
            grid[i1][j1] = "<"
    for gr in grid:
        print("".join(gr))

main()

Solution (Python):
import types

_atcoder_code = """


__version__ = '0.0.1'
"""

atcoder = types.ModuleType('atcoder')
exec(_atcoder_code, atcoder.__dict__)

_atcoder_maxflow_code = """
from __future__ import annotations

from typing import NamedTuple, Optional, List


class MFGraph:
    class Edge(NamedTuple):
        src: int
        dst: int
        cap: int
        flow: int

    class _Edge:
        def __init__(self, dst: int, cap: int) -> None:
            self.dst = dst
            self.cap = cap
            self.rev: Optional[MFGraph._Edge] = None

    def __init__(self, n: int) -> None:
        self._n = n
        self._g: List[List[MFGraph._Edge]] = [[] for _ in range(n)]
        self._edges: List[MFGraph._Edge] = []

    def add_edge(self, src: int, dst: int, cap: int) -> int:
        assert 0 <= src < self._n
        assert 0 <= dst < self._n
        assert 0 <= cap
        m = len(self._edges)
        e = MFGraph._Edge(dst, cap)
        re = MFGraph._Edge(src, 0)
        e.rev = re
        re.rev = e
        self._g[src].append(e)
        self._g[dst].append(re)
        self._edges.append(e)
        return m

    def get_edge(self, i: int) -> Edge:
        assert 0 <= i < len(self._edges)
        e = self._edges[i]
        re = e.rev
        return MFGraph.Edge(
            re.dst,
            e.dst,
            e.cap + re.cap,
            re.cap
        )

    def edges(self) -> List[Edge]:
        return [self.get_edge(i) for i in range(len(self._edges))]

    def change_edge(self, i: int, new_cap: int, new_flow: int) -> None:
        assert 0 <= i < len(self._edges)
        assert 0 <= new_flow <= new_cap
        e = self._edges[i]
        e.cap = new_cap - new_flow
        e.rev.cap = new_flow

    def flow(self, s: int, t: int, flow_limit: Optional[int] = None) -> int:
        assert 0 <= s < self._n
        assert 0 <= t < self._n
        assert s != t
        if flow_limit is None:
            flow_limit = sum(e.cap for e in self._g[s])

        current_edge = [0] * self._n
        level = [0] * self._n

        def fill(arr: List[int], value: int) -> None:
            for i in range(len(arr)):
                arr[i] = value

        def bfs() -> bool:
            fill(level, self._n)
            queue = []
            q_front = 0
            queue.append(s)
            level[s] = 0
            while q_front < len(queue):
                v = queue[q_front]
                q_front += 1
                next_level = level[v] + 1
                for e in self._g[v]:
                    if e.cap == 0 or level[e.dst] <= next_level:
                        continue
                    level[e.dst] = next_level
                    if e.dst == t:
                        return True
                    queue.append(e.dst)
            return False

        def dfs(lim: int) -> int:
            stack = []
            edge_stack = []
            stack.append(t)
            while stack:
                v = stack[-1]
                if v == s:
                    flow = min(lim, min(e.cap for e in edge_stack))
                    for e in edge_stack:
                        e.cap -= flow
                        e.rev.cap += flow
                    return flow
                next_level = level[v] - 1
                while current_edge[v] < len(self._g[v]):
                    e = self._g[v][current_edge[v]]
                    re = e.rev
                    if level[e.dst] != next_level or re.cap == 0:
                        current_edge[v] += 1
                        continue
                    stack.append(e.dst)
                    edge_stack.append(re)
                    break
                else:
                    stack.pop()
                    if edge_stack:
                        edge_stack.pop()
                    level[v] = self._n
            return 0

        flow = 0
        while flow < flow_limit:
            if not bfs():
                break
            fill(current_edge, 0)
            while flow < flow_limit:
                f = dfs(flow_limit - flow)
                flow += f
                if f == 0:
                    break
        return flow

    def min_cut(self, s: int) -> List[bool]:
        visited = [False] * self._n
        stack = [s]
        visited[s] = True
        while stack:
            v = stack.pop()
            for e in self._g[v]:
                if e.cap > 0 and not visited[e.dst]:
                    visited[e.dst] = True
                    stack.append(e.dst)
        return visited
"""

atcoder.maxflow = types.ModuleType('atcoder.maxflow')
exec(_atcoder_maxflow_code, atcoder.maxflow.__dict__)
MFGraph = atcoder.maxflow.MFGraph



import sys




def main() -> None:
    n, m = map(int, sys.stdin.readline().split())
    s = n * m
    t = s + 1
    g = MFGraph(t + 1)
    grid = [list(sys.stdin.readline().strip()) for _ in range(n)]

    def enc(i: int, j: int) -> int:
        return i * m + j

    def dec(v: int) -> (int, int):
        return v // m, v % m

    for i in range(n):
        for j in range(m):
            if grid[i][j] == '
                continue
            if (i + j) % 2 == 0:
                g.add_edge(s, enc(i, j), 1)
            else:
                g.add_edge(enc(i, j), t, 1)

    dx = [1, 0, -1, 0]
    dy = [0, 1, 0, -1]
    for i in range(n):
        for j in range(m):
            if (i + j) % 2 == 1 or grid[i][j] == '
                continue
            for direction in range(4):
                ii = i + dx[direction]
                jj = j + dy[direction]
                if 0 <= ii < n and 0 <= jj < m and grid[ii][jj] == '.':
                    g.add_edge(enc(i, j), enc(ii, jj), 1)

    print(g.flow(s, t))
    for e in g.edges():
        if e.src == s or e.dst == t or e.flow == 0:
            continue
        (i, j) = dec(e.src)
        (ii, jj) = dec(e.dst)
        if i == ii + 1:
            grid[ii][jj] = 'v'
            grid[i][j] = '^'
        elif j == jj + 1:
            grid[ii][jj] = '>'
            grid[i][j] = '<'
        elif i == ii - 1:
            grid[i][j] = 'v'
            grid[ii][jj] = '^'
        else:
            grid[i][j] = '>'
            grid[ii][jj] = '<'

    for s in grid:
        print("".join(s))


if __name__ == '__main__':
    main()

Solution (Python):
"""
とても雑な計測で

import 330ms
ノード・エッジリストの計算 400ms
Graph オブジェクト生成 420ms
マッチングの計算 510ms
加工して出力 530ms
"""
import sys
import itertools
import numpy as np
import networkx as nx

read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines

N, M = map(int, readline().split())
S = np.frombuffer(read(), 'S1').reshape(N, -1)[:, :M].astype('U1')

A = []
B = []
E = []

for i, j in itertools.product(range(N), range(M)):
    if S[i, j] == '
        continue
    elif (i + j) & 1:
        A.append((i, j))
    else:
        B.append((i, j))

for i, j in A:
    for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
        i1, j1 = i + dx, j + dy
        if 0 <= i1 < N and 0 <= j1 < M and S[i1, j1] != '
            E.append(((i, j), (i1, j1)))

G = nx.Graph()
G.add_nodes_from(A, bipartite=0)
G.add_nodes_from(B, bipartite=1)
G.add_edges_from(E)

M = nx.bipartite.maximum_matching(G, A)
for key, item in M.items():
    i, j = key
    i1, j1 = item
    if i1 == i + 1:
        a, b = 'v', '^'
    elif i1 == i - 1:
        a, b = '^', 'v'
    elif j1 == j + 1:
        a, b = '>', '<'
    else:
        a, b = '<', '>'
    S[i, j], S[i1, j1] = a, b

print(len(M) // 2)
for row in S:
    print(''.join(row))

Solution (Python):
import sys
import itertools
import numpy as np
import networkx as nx

read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines

H, W = map(int, readline().split())
S = np.frombuffer(read(), 'S1').reshape(H, -1)[:, :W].astype('U1')

A = []
B = []
E = []

for i, j in itertools.product(range(H), range(W)):
    if S[i, j] == '
        continue
    elif (i + j) & 1:
        A.append(W*i+j)
    else:
        B.append(W*i+j)

for a in A:
    i,j = divmod(a,W)
    for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
        i1, j1 = i + dx, j + dy
        if 0 <= i1 < H and 0 <= j1 < W and S[i1, j1] != '
            b = W*i1+j1
            E.append((a,b))

G = nx.Graph()
G.add_nodes_from(A, bipartite=0)
G.add_nodes_from(B, bipartite=1)
G.add_edges_from(E)

M = nx.bipartite.maximum_matching(G, A)
for a, b in M.items():
    i,j = divmod(a,W)
    i1, j1 = divmod(b,W)
    if i1 == i + 1:
        a, b = 'v', '^'
    elif i1 == i - 1:
        a, b = '^', 'v'
    elif j1 == j + 1:
        a, b = '>', '<'
    else:
        a, b = '<', '>'
    S[i, j], S[i1, j1] = a, b

print(len(M) // 2)
for row in S:
    print(''.join(row))