从数据文件中读取矩阵，然后计算它们的乘积，然后将结果矩阵打印到数据文件的代码

# 读取数据文件中的矩阵
def read_matrix_from_file(file_path):
    matrix = []
    with open(file_path, 'r') as file:
        for line in file:
            row = [int(num) for num in line.strip().split()]
            matrix.append(row)
    return matrix

# 计算矩阵乘积
def matrix_multiply(matrix1, matrix2):
    rows1 = len(matrix1)
    cols1 = len(matrix1[0])
    rows2 = len(matrix2)
    cols2 = len(matrix2[0])

    if cols1 != rows2:
        raise ValueError("The number of columns in matrix1 must be equal to the number of rows in matrix2.")

    result = [[0] * cols2 for _ in range(rows1)]
    for i in range(rows1):
        for j in range(cols2):
            for k in range(cols1):
                result[i][j] += matrix1[i][k] * matrix2[k][j]

    return result

# 将结果矩阵打印到数据文件
def print_matrix_to_file(matrix, file_path):
    with open(file_path, 'w') as file:
        for row in matrix:
            file.write(' '.join(str(num) for num in row))
            file.write('\n')

# 主函数
def main():
    input_file = 'input.txt'
    output_file = 'output.txt'

    # 从数据文件中读取矩阵
    matrix1 = read_matrix_from_file(input_file)
    matrix2 = read_matrix_from_file(input_file)

    # 计算矩阵乘积
    result_matrix = matrix_multiply(matrix1, matrix2)

    # 将结果矩阵打印到数据文件
    print_matrix_to_file(result_matrix, output_file)

if __name__ == '__main__':
    main()