Problem: Write a program which manipulates a sequence A = {a0, a1, . . . , an−1} with the following operations:

* update(s, t, x): change as, as+1, ..., at to x.
* find(s, t): report the minimum element in as, as+1, ..., at.



Note that the initial values of ai (i = 0, 1, . . . , n−1) are 231-1.

Constraints

* 1 ≤ n ≤ 100000
* 1 ≤ q ≤ 100000
* 0 ≤ s ≤ t < n
* 0 ≤ x < 231−1

Input


n q
query1
query2
:
queryq


In the first line, n (the number of elements in A) and q (the number of queries) are given. Then, ith query queryi is given in the following format:


0 s t x


or


1 s t


The first digit represents the type of the query. '0' denotes update(s, t, x) and '1' denotes find(s, t).

Output

For each find operation, print the minimum value.

Examples

Input

3 5
0 0 1 1
0 1 2 3
0 2 2 2
1 0 2
1 1 2


Output

1
2


Input

1 3
1 0 0
0 0 0 5
1 0 0


Output

2147483647
5

Solution (in PYTHON3):

Solution:
#####segfunc#####
def segfunc(x, y):
    return min(x, y)
#################

#####ide_ele#####
ide_ele = 2**31 - 1
#################

class LazySegmentTree:
    """
    init(init_val, ide_ele): 配列init_valで初期化 O(N)
    update(l, r, x): 区間[l, r)をxに更新 O(logN)
    query(l, r): 区間[l, r)をsegfuncしたものを返す O(logN)
    """
    def __init__(self, init_val, segfunc, ide_ele):
        """
        init_val: 配列の初期値
        segfunc: 区間にしたい操作
        ide_ele: 単位元
        num: n以上の最小の2のべき乗
        data: 値配列(1-index)
        lazy: 遅延配列(1-index)
        """
        n = len(init_val)
        self.segfunc = segfunc
        self.ide_ele = ide_ele
        self.num = 1 << (n - 1).bit_length()
        self.data = [ide_ele] * 2 * self.num
        self.lazy = [None] * 2 * self.num
        # 配列の値を葉にセット
        for i in range(n):
            self.data[self.num + i] = init_val[i]
        # 構築していく
        for i in range(self.num - 1, 0, -1):
            self.data[i] = self.segfunc(self.data[2 * i], self.data[2 * i + 1])

    def gindex(self, l, r):
            """
            伝搬する対象の区間を求める
            lm: 伝搬する必要のある最大の左閉区間
            rm: 伝搬する必要のある最大の右開区間
            """
            l += self.num
            r += self.num
            lm = l >> (l & -l).bit_length()
            rm = r >> (r & -r).bit_length()

            while r > l:
                if l <= lm:
                    yield l
                if r <= rm:
                    yield r
                r >>= 1
                l >>= 1
            while l:
                yield l
                l >>= 1

    def propagates(self, *ids):
        """
        遅延伝搬処理
        ids: 伝搬する対象の区間 
        """
        for i in reversed(ids):
            v = self.lazy[i]
            if v is None:
                continue
            self.lazy[2 * i] = v
            self.lazy[2 * i + 1] = v
            self.data[2 * i] = v
            self.data[2 * i + 1] = v
            self.lazy[i] = None

    def update(self, l, r, x):
        """
        区間[l, r)の値をxに更新
        l, r: index(0-index)
        x: update value
        """
        *ids, = self.gindex(l, r)
        self.propagates(*ids)
        l += self.num
        r += self.num
        while l < r:
            if l & 1:
                self.lazy[l] = x
                self.data[l] = x
                l += 1
            if r & 1:
                self.lazy[r - 1] = x
                self.data[r - 1] = x
            r >>= 1
            l >>= 1
        for i in ids:
            self.data[i] = self.segfunc(self.data[2 * i], self.data[2 * i + 1])


    def query(self, l, r):
        """
        [l, r)のsegfuncしたものを得る
        l: index(0-index)
        r: index(0-index)
        """
        *ids, = self.gindex(l, r)
        self.propagates(*ids)

        res = self.ide_ele

        l += self.num
        r += self.num
        while l < r:
            if l & 1:
                res = self.segfunc(res, self.data[l])
                l += 1
            if r & 1:
                res = self.segfunc(res, self.data[r - 1])
            l >>= 1
            r >>= 1
        return res
n, q = [int(x) for x in input().split()]
seg = LazySegmentTree([ide_ele]*n, segfunc, ide_ele)
for _ in range(q):
    a, *b = [int(x) for x in input().split()]
    if a == 1:
        s, t = b
        print(seg.query(s, t + 1))
    else:
        s, t, x = b
        seg.update(s, t + 1, x)