"""# ### 谜题描述 A tree of size n is an undirected connected graph consisting of n vertices without cycles. Consider some tree with n vertices. We call a tree invariant relative to permutation p = p1p2... pn, if for any two vertices of the tree u and v the condition holds: \"vertices u and v are connected by an edge if and only if vertices pu and pv are connected by an edge\". You are given permutation p of size n. Find some tree size n, invariant relative to the given permutation. Input The first line contains number n (1 ≤ n ≤ 105) — the size of the permutation (also equal to the size of the sought tree). The second line contains permutation pi (1 ≤ pi ≤ n). Output If the sought tree does not exist, print \"NO\" (without the quotes). Otherwise, print \"YES\", and then print n - 1 lines, each of which contains two integers — the numbers of vertices connected by an edge of the tree you found. The vertices are numbered from 1, the order of the edges and the order of the vertices within the edges does not matter. If there are multiple solutions, output any of them. Examples Input 4 4 3 2 1 Output YES 4 1 4 2 1 3 Input 3 3 1 2 Output NO Note In the first sample test a permutation transforms edge (4, 1) into edge (1, 4), edge (4, 2) into edge (1, 3) and edge (1, 3) into edge (4, 2). These edges all appear in the resulting tree. It can be shown that in the second sample test no tree satisfies the given condition. Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution. ```python n=input() a=map(lambda x:int(x)-1,raw_input().split()) p=q=-1 for i in xrange(n): if a[a[i]]==i: p,q=i,a[i] if a[i]==i: print\"YES\" for j in xrange(n): if i!=j: print i+1,j+1 exit() if p<0 or q<0: print\"NO\" exit() r=[(p,q)] v=[0]*n v[p]=v[q]=1 for i in xrange(n): if not v[i]: r.append((p,i)) v[i]=1 t=0 x=a[i] while x!=i: r.append((p if t else q,x)) v[x]=1 t=1-t x=a[x] if not t: print\"NO\" exit() print\"YES\" for x,y in r: print x+1,y+1 ``` 请完成上述谜题的训练场环境类实现,包括所有必要的方法。 """ from bootcamp import Basebootcamp import random from bootcamp import Basebootcamp def solve_permutation_tree(n, p): # 处理n=1的情况 if n == 1: return (True, []) for i in range(n): if p[i] == i: edges = [] for j in range(n): if i != j: edges.append((i, j)) return (True, edges) p_pair = -1 q_pair = -1 for i in range(n): if p[p[i]] == i and i != p[i]: p_pair = i q_pair = p[i] break if p_pair == -1 or q_pair == -1 or p_pair == q_pair: return (False, []) visited = [False] * n visited[p_pair] = visited[q_pair] = True edges = [(p_pair, q_pair)] for i in range(n): if not visited[i]: current_edges = [] current_edges.append((p_pair, i)) visited[i] = True x = p[i] t = 0 while x != i: next_node = p[x] if t % 2 == 0: current_node = q_pair else: current_node = p_pair current_edges.append((current_node, x)) visited[x] = True t += 1 x = next_x = p[x] if next_x == x: # 防止无限循环 break if t % 2 == 0: return (False, []) edges.extend(current_edges) return (True, edges) def is_valid_solution(n, p, edges): if n == 1: return len(edges) == 0 if len(edges) != n - 1: return False parent = list(range(n + 1)) def find(u): while parent[u] != u: parent[u] = parent[parent[u]] u = parent[u] return u for u, v in edges: if u < 1 or u > n or v < 1 or v > n: return False root_u = find(u) root_v = find(v) if root_u == root_v: return False parent[root_v] = root_u for i in range(1, n + 1): if find(i) != find(1): return False edge_set = set(frozenset((u, v)) for u, v in edges) for u, v in edges: pu = p[u - 1] pv = p[v - 1] permuted_edge = frozenset((pu, pv)) if permuted_edge not in edge_set: return False return True class Dinvarianceoftreebootcamp(Basebootcamp): def __init__(self, **params): self.params = params.copy() self.params.setdefault('min_n', 1) self.params.setdefault('max_n', 10) self.params.setdefault('n', None) def case_generator(self): params = self.params n = params['n'] if n is None: min_n = params['min_n'] max_n = params['max_n'] n = random.randint(min_n, max_n) p = list(range(1, n + 1)) random.shuffle(p) p_0based = [x - 1 for x in p] possible, edges = solve_permutation_tree(n, p_0based) case = { 'n': n, 'p': p.copy() } if possible: if n == 1: case['solution'] = [] else: case['solution'] = [(u + 1, v + 1) for u, v in edges] return case @staticmethod def prompt_func(question_case): n = question_case['n'] p = question_case['p'] prompt = f"""Given a permutation p of size {n}, determine if there exists a tree of {n} vertices that remains invariant under p. The permutation p is: {p} Output "YES" followed by the edges of the tree if it exists, otherwise output "NO". Enclose your answer within [answer] tags.""" return prompt @staticmethod def extract_output(output): import re matches = re.findall(r'\[answer\](.*?)\[/answer\]', output, re.DOTALL) if not matches: return None answer_block = matches[-1].strip() lines = [line.strip() for line in answer_block.split('\n') if line.strip()] if not lines: return None first_line = lines[0].upper() if first_line == 'YES': edges = [] for line in lines[1:]: parts = line.split() if len(parts) != 2: return None try: u = int(parts[0]) v = int(parts[1]) except ValueError: return None edges.append((u, v)) if len(edges) != (len(lines)-1) or (len(edges) > 0 and len(edges) != (question_case['n'] -1)): return None return {'answer': 'YES', 'edges': edges} elif first_line == 'NO': return {'answer': 'NO'} else: return None @classmethod def _verify_correction(cls, solution, identity): if solution is None: return False answer = solution.get('answer') n = identity['n'] p_list = identity['p'] if answer == 'NO': return 'solution' not in identity elif answer == 'YES': if 'solution' not in identity: return False submitted_edges = solution.get('edges', []) return is_valid_solution(n, p_list, submitted_edges) return False