




'''simple docstring'''






import sys






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE		)    ->   Optional[Any]:
      snake_case__       :   str	      =    len(__lowerCAmelCase		)
      snake_case__       :   Union[str, Any]	      =    [[0 for x in range(__lowerCAmelCase		)] for x in range(__lowerCAmelCase		)]
      snake_case__       :   List[str]	      =    [[0 for x in range(__lowerCAmelCase		)] for x in range(__lowerCAmelCase		)]

      for chain_length in range(2				,      __lowerCAmelCase		):
            for a in range(1				,      n - chain_length + 1		):
                  snake_case__       :   Tuple	      =    a + chain_length - 1

                  snake_case__       :   List[str]	      =    sys.maxsize
                  for c in range(__lowerCAmelCase				,      __lowerCAmelCase		):
                        snake_case__       :   List[Any]	      =    (
                            matrix[a][c] + matrix[c + 1][b] + array[a - 1] * array[c] * array[b]
                        )
                        if cost < matrix[a][b]:
                              snake_case__       :   List[Any]	      =    cost
                              snake_case__       :   List[Any]	      =    c
      return matrix, sol






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		)    ->   List[Any]:
      if i == j:
            print('A' + str(__lowerCAmelCase		)				,      end=' '		)
      else:
            print('('				,      end=' '		)
            print_optiomal_solution(__lowerCAmelCase				,      __lowerCAmelCase				,      optimal_solution[i][j]		)
            print_optiomal_solution(__lowerCAmelCase				,      optimal_solution[i][j] + 1				,      __lowerCAmelCase		)
            print(')'				,      end=' '		)






def 		UpperCamelCase__      (		)    ->   int:
      snake_case__       :   List[Any]	      =    [30, 35, 15, 5, 10, 20, 25]
      snake_case__       :   Union[str, Any]	      =    len(__lowerCAmelCase		)
      # Size of matrix created from above array will be
      # 30*35 35*15 15*5 5*10 10*20 20*25
      snake_case__       :   int	      =    matrix_chain_order(__lowerCAmelCase		)

      print('No. of Operation required: ' + str(matrix[1][n - 1]		)		)
      print_optiomal_solution(__lowerCAmelCase				,      1				,      n - 1		)


if __name__ == "__main__":
      main()





import numpy as np
from sklearn.datasets import fetch_california_housing
from sklearn.metrics import mean_absolute_error, mean_squared_error
from sklearn.model_selection import train_test_split
from xgboost import XGBRegressor

def        __a			(   __lowerCAmelCase   )     ->     tuple:
					return (data["data"], data["target"])

def        __a			(   __lowerCAmelCase      ,	__lowerCAmelCase      ,	__lowerCAmelCase   )     ->     np.ndarray:
					SCREAMING_SNAKE_CASE							:     int						=				XGBRegressor(verbosity=0      ,	random_state=42   )
					xgb.fit(__lowerCAmelCase      ,	__lowerCAmelCase   )
					# Predict target for test data
					SCREAMING_SNAKE_CASE							:     List[Any]						=				xgb.predict(__lowerCAmelCase   )
					SCREAMING_SNAKE_CASE							:     str						=				predictions.reshape(len(__lowerCAmelCase   )      ,	1   )
					return predictions

def        __a			(   )     ->     None:
					SCREAMING_SNAKE_CASE							:     Dict						=				fetch_california_housing()
					SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE							:     Any						=				data_handling(__lowerCAmelCase   )
					SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE							:     str						=				train_test_split(
					    __lowerCAmelCase      ,	__lowerCAmelCase      ,	test_size=0.25      ,	random_state=1   )
					SCREAMING_SNAKE_CASE							:     int						=				xgboost(__lowerCAmelCase      ,	__lowerCAmelCase      ,	__lowerCAmelCase   )
					# Error printing
					print(F'''Mean Absolute Error : {mean_absolute_error(__lowerCAmelCase      ,	__lowerCAmelCase   )}'''   )
					print(F'''Mean Square Error  : {mean_squared_error(__lowerCAmelCase      ,	__lowerCAmelCase   )}'''   )


if __name__ == "__main__":
			import doctest

			doctest.testmod(verbose=True)
			main()