





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 							SCREAMING_SNAKE_CASE__  (			__a      ):
	return (data["data"], data["target"])


def 							SCREAMING_SNAKE_CASE__  (			__a      ,       __a      ,       __a      ):
	snake_case_						:	Optional[Any]      =		XGBRegressor(verbosity=0      ,       random_state=42      )
	xgb.fit(A__      ,       A__      )
	# Predict target for test data
	snake_case_						:	List[Any]      =		xgb.predict(A__      )
	snake_case_						:	List[str]      =		predictions.reshape(len(A__      )      ,       1      )
	return predictions


def 							SCREAMING_SNAKE_CASE__  (			):
	snake_case_						:	Any      =		fetch_california_housing()
	snake_case_  ,snake_case_						:	Dict      =		data_handling(A__      )
	snake_case_  ,snake_case_  ,snake_case_  ,snake_case_						:	Union[str, Any]      =		train_test_split(
	    A__      ,       A__      ,       test_size=0.25      ,       random_state=1      )
	snake_case_						:	Tuple      =		xgboost(A__      ,       A__      ,       A__      )
	# Error printing
	print(f"""Mean Absolute Error : {mean_absolute_error(A__      ,       A__      )}"""      )
	print(f"""Mean Square Error  : {mean_squared_error(A__      ,       A__      )}"""      )


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)
						main()






'''simple docstring'''


def 				__lowerCamelCase				(   A__ = 10**9    )       ->	int:






   """simple docstring"""
   UpperCamelCase					=  1
   UpperCamelCase					=  2

   UpperCamelCase					=  0
   UpperCamelCase					=  0
   UpperCamelCase					=  0
   while perimeter <= max_perimeter:
      perimeters_sum += perimeter

      prev_value += 2 * value
      value += prev_value

      UpperCamelCase					=  2 * value + 2 if i % 2 == 0 else 2 * value - 2
      i += 1

   return perimeters_sum


if __name__ == "__main__":
   print(f'''{solution() = }''')

