from bisect import bisect_left, bisect_right, insort class BTreeNode: def __init__(self, B_SIZE): self.B_SIZE = B_SIZE self.keys = [] self.children = [] def split(self): if len(self.keys) != self.B_SIZE * 2: return None ptr = BTreeNode(self.B_SIZE) ptr.keys, self.keys = self.keys[:self.B_SIZE], self.keys[self.B_SIZE:] ptr.children, self.children = self.children[:self.B_SIZE], self.children[self.B_SIZE:] return ptr def shift_lr(self, idx): ptrl, ptrr = self.children[idx], self.children[idx + 1] ptrr.keys.insert(0, ptrl.keys[-1]) del ptrl.keys[-1] if ptrl.children: ptrr.children.insert(0, ptrl.children[-1]) del ptrl.children[-1] self.keys[idx], ptrr.keys[0] = ptrr.keys[0], self.keys[idx] def shift_rl(self, idx): ptrl, ptrr = self.children[idx], self.children[idx + 1] ptrl.keys.append(ptrr.keys[0]) del ptrr.keys[0] if ptrr.children: ptrl.children.append(ptrr.children[0]) del ptrr.children[0] self.keys[idx], ptrl.keys[-1] = ptrl.keys[-1], self.keys[idx] def merge(self, idx): self.children[idx].keys += [self.keys[idx]] + self.children[idx + 1].keys self.children[idx].children += self.children[idx + 1].children del self.keys[idx], self.children[idx + 1] assert(len(self.keys) + 1 == len(self.children)) class SortedSetBTree: def __init__(self, B_SIZE=512): self.B_SIZE = B_SIZE self.root = BTreeNode(self.B_SIZE) self.size = 0 def __contains__(self, key): return self._search(key) def __len__(self): return self.size def __iter__(self): return self._generate_rec(self.root) def _search(self, key): ptr = self.root while True: idx = bisect_left(ptr.keys, key) if idx != len(ptr.keys) and ptr.keys[idx] == key: return True if not ptr.children: return False ptr = ptr.children[idx] def _generate_rec(self, ptr): for idx, chi in enumerate(ptr.children): yield from self._generate_rec(chi) if idx < len(ptr.keys): yield ptr.keys[idx] if not ptr.children: for key in ptr.keys: yield key def _generate_rec_kl(self, ptr, kl, f): idxl = 0 if f else bisect_left(ptr.keys, kl) for idx, chi in enumerate(ptr.children[idxl:], idxl): if idx == idxl: yield from self._generate_rec_kl(chi, kl, f | False) else: yield from self._generate_rec_kl(chi, kl, True) if idx < len(ptr.keys): yield ptr.keys[idx] if not ptr.children: for key in ptr.keys[idxl:]: yield key def _add_rec(self, ptr, key): if not ptr.children: insort(ptr.keys, key) else: i = bisect_right(ptr.keys, key) p = self._add_rec(ptr.children[i], key) if p is not None: ptr.keys.insert(i, p.keys.pop()) ptr.children.insert(i, p) return ptr.split() def _remove_rec(self, ptr, key): idx = bisect_left(ptr.keys, key) if idx != len(ptr.keys) and ptr.keys[idx] == key: if not ptr.children: del ptr.keys[idx] else: ptr.keys[idx] = self._remove_smallest(ptr.children[idx + 1]) self._check_underflow(ptr, idx + 1) return True elif ptr.children and self._remove_rec(ptr.children[idx], key): self._check_underflow(ptr, idx) return True return False def _remove_smallest(self, ptr): if not ptr.children: res = ptr.keys[0] del ptr.keys[0] return res res = self._remove_smallest(ptr.children[0]) self._check_underflow(ptr, 0) return res def _check_underflow(self, ptr, idx): if len(ptr.children[idx].keys) >= self.B_SIZE - 1: return elif idx == 0: if len(ptr.children[idx + 1].keys) > self.B_SIZE: ptr.shift_rl(idx) else: ptr.merge(idx) else: if len(ptr.children[idx - 1].keys) > self.B_SIZE: ptr.shift_lr(idx - 1) else: ptr.merge(idx - 1) def add(self, key): if key in self: return True ptr = self.root p = self._add_rec(ptr, key) if p is not None: root = BTreeNode(self.B_SIZE) root.keys = [p.keys.pop()] root.children = [p, self.root] self.root = root self.size += 1 return True def remove(self, key): flag = self._remove_rec(self.root, key) if len(self.root.children) == 1: self.root = self.root.children[0] if flag: self.size -= 1 return flag def iterate(self, kl): return self._generate_rec_kl(self.root, kl, False) def prev_key(self, key): ptr = self.root res = None while True: idx = bisect_left(ptr.keys, key) if idx - 1 >= 0: res = ptr.keys[idx - 1] if not ptr.children: break ptr = ptr.children[idx] return res class SortedInterval: def __init__(self): self.sset = SortedSetBTree() self.rs = {} self.length = 0 def add(self, l, r): prev_l = self.sset.prev_key(l) if prev_l is not None and l <= self.rs[prev_l]: l = prev_l r = max(r, self.rs[prev_l]) del self.rs[prev_l] self.sset.remove(prev_l) removed = [] for next_l in self.sset.iterate(l): if next_l > r: break removed.append(next_l) for next_l in removed: r = max(r, self.rs[next_l]) del self.rs[next_l] self.sset.remove(next_l) self.sset.add(l) self.rs[l] = r # 新しく生成された区間の大きさを返す return r - l def __iter__(self): for l in self.sset: yield l, self.rs[l] n, q = map(int, input().split()) intervals = [list(map(int, input().split())) for i in range(q)] si = SortedInterval() ans = 0 for l, r in intervals: ans = max(si.add(l, r + 1), ans) print(ans)