"""# ### 谜题描述 You are given a matrix a consisting of positive integers. It has n rows and m columns. Construct a matrix b consisting of positive integers. It should have the same size as a, and the following conditions should be met: * 1 ≤ b_{i,j} ≤ 10^6; * b_{i,j} is a multiple of a_{i,j}; * the absolute value of the difference between numbers in any adjacent pair of cells (two cells that share the same side) in b is equal to k^4 for some integer k ≥ 1 (k is not necessarily the same for all pairs, it is own for each pair). We can show that the answer always exists. Input The first line contains two integers n and m (2 ≤ n,m ≤ 500). Each of the following n lines contains m integers. The j-th integer in the i-th line is a_{i,j} (1 ≤ a_{i,j} ≤ 16). Output The output should contain n lines each containing m integers. The j-th integer in the i-th line should be b_{i,j}. Examples Input 2 2 1 2 2 3 Output 1 2 2 3 Input 2 3 16 16 16 16 16 16 Output 16 32 48 32 48 64 Input 2 2 3 11 12 8 Output 327 583 408 664 Note In the first example, the matrix a can be used as the matrix b, because the absolute value of the difference between numbers in any adjacent pair of cells is 1 = 1^4. In the third example: * 327 is a multiple of 3, 583 is a multiple of 11, 408 is a multiple of 12, 664 is a multiple of 8; * |408 - 327| = 3^4, |583 - 327| = 4^4, |664 - 408| = 4^4, |664 - 583| = 3^4. Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution. ```python from collections import Counter, defaultdict, deque import bisect from sys import stdin, stdout from itertools import repeat import math def inp(force_list=False): re = map(int, raw_input().split()) if len(re) == 1 and not force_list: return re[0] return re def inst(): return raw_input().strip() def gcd(x, y): while(y): x, y = y, x % y return x mod = int(1e9)+7 def quickm(a, b): base = a re = 1 while b: if b&1: re *= base re %= mod b >>= 1 base *= base base %= mod return re def inv(num): return quickm(num, mod-2) def my_main(): kase = 1 #inp() pans = [] for _ in range(kase): n, m = inp() da = [] for i in range(n): da.append(inp()) for i in range(n): ans = [] for j in range(m): if (i+j)%2: ans.append(720720) else: ans.append(720720+da[i][j]**4) pans.append(' '.join(map(str, ans))) print '\n'.join(pans) my_main() ``` 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 class Dmultiplesandpowerdifferencesbootcamp(Basebootcamp): def __init__(self, n=2, m=2, min_a=1, max_a=16): self.n = n self.m = m self.min_a = min_a self.max_a = max_a def case_generator(self): a_matrix = [ [random.randint(self.min_a, self.max_a) for _ in range(self.m)] for _ in range(self.n) ] return { 'n': self.n, 'm': self.m, 'a_matrix': a_matrix } @staticmethod def prompt_func(question_case): n = question_case['n'] m = question_case['m'] a_matrix = question_case['a_matrix'] problem = ( "你是一名数学谜题的解谜者,需要构造一个满足特定条件的矩阵。给定一个n行m列的矩阵a,其中每个元素都是正整数。你的任务是根据以下规则构造矩阵b:\n\n" "规则说明:\n" "1. 矩阵b的大小必须与a相同,并且每个元素b[i][j]必须是a[i][j]的正整数倍。\n" "2. 矩阵b中任意两个相邻元素(相邻指的是上下左右相邻,即共享同一条边的单元格)的绝对差必须是某个整数的四次方。例如,差可以是1⁴=1,2⁴=16,3⁴=81,依此类推。\n" "3. 每个元素b[i][j]的取值范围必须在1到1,000,000之间(包含1和1,000,000)。\n\n" "输入格式:\n" f"第一行包含两个整数n和m(此处n={n},m={m})。\n" "接下来的n行每行包含m个整数,表示矩阵a的元素。\n\n" "输出格式:\n" "输出n行,每行m个整数,表示满足条件的矩阵b。\n\n" "矩阵a的输入如下:\n" f"{n} {m}\n" ) for row in a_matrix: problem += " ".join(map(str, row)) + "\n" problem += ( "\n请按照输出格式要求,将正确的矩阵b输出,并将答案放置在[answer]标签内。例如:\n" "[answer]\n" "16 32\n" "48 64\n" "[/answer]" ) return problem @staticmethod def extract_output(output): import re pattern = re.compile(r'\[answer\](.*?)\[/answer\]', re.DOTALL) matches = pattern.findall(output) if not matches: return None last_answer = matches[-1].strip() matrix = [] for line in last_answer.split('\n'): line = line.strip() if not line: continue try: elements = list(map(int, line.split())) matrix.append(elements) except ValueError: return None if not matrix: return None cols = len(matrix[0]) for row in matrix: if len(row) != cols: return None return matrix @classmethod def _verify_correction(cls, solution, identity): if not solution or not isinstance(solution, list) or not all(isinstance(row, list) for row in solution): return False n = identity['n'] m = identity['m'] a_matrix = identity['a_matrix'] if len(solution) != n or any(len(row) != m for row in solution): return False for i in range(n): for j in range(m): b_val = solution[i][j] a_val = a_matrix[i][j] if not (1 <= b_val <= 10**6) or b_val % a_val != 0: return False for i in range(n): for j in range(m): current = solution[i][j] if j + 1 < m: right = solution[i][j+1] if not cls.is_k4(abs(current - right)): return False if i + 1 < n: down = solution[i+1][j] if not cls.is_k4(abs(current - down)): return False return True @staticmethod def is_k4(x): if x < 1: return False k = 1 while True: k4 = k ** 4 if k4 == x: return True if k4 > x: return False k += 1