


"""simple docstring"""







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__			(				SCREAMING_SNAKE_CASE    :    dict				):


  '''simple docstring'''







  return (data["data"], data["target"])
def 					a__			(				SCREAMING_SNAKE_CASE    :    np.ndarray				,      SCREAMING_SNAKE_CASE    :    np.ndarray				,      SCREAMING_SNAKE_CASE    :    np.ndarray				):


  '''simple docstring'''







  lowerCAmelCase     :     Union[str, Any]								=							XGBRegressor(verbosity=0				,      random_state=4_2				)
  xgb.fit(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				)
  # Predict target for test data
  lowerCAmelCase     :     str								=							xgb.predict(SCREAMING_SNAKE_CASE				)
  lowerCAmelCase     :     Any								=							predictions.reshape(len(SCREAMING_SNAKE_CASE				)				,      1				)
  return predictions
def 					a__			(				):


  '''simple docstring'''







  lowerCAmelCase     :     Any								=							fetch_california_housing()
  lowerCAmelCase						,  lowerCAmelCase     :     List[str]								=							data_handling(SCREAMING_SNAKE_CASE				)
  lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase     :     Dict								=							train_test_split(
      SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				,      test_size=0.25				,      random_state=1				)
  lowerCAmelCase     :     str								=							xgboost(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				)
  # Error printing
  print(f"""Mean Absolute Error : {mean_absolute_error(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				)}"""				)
  print(f"""Mean Square Error  : {mean_squared_error(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				)}"""				)


if __name__ == "__main__":
     import doctest

     doctest.testmod(verbose=True)
     main()












UpperCAmelCase_     							= 'Input must be a string of 8 numbers plus letter'
UpperCAmelCase_     							= 'TRWAGMYFPDXBNJZSQVHLCKE'




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str      )      ->	bool:

    if not isinstance(__UpperCAmelCase		,   __UpperCAmelCase      ):
        UpperCamelCase__							:				Any          =      f"Expected string as input, found {type(__UpperCAmelCase      ).__name__}"
        raise TypeError(__UpperCAmelCase      )

    UpperCamelCase__							:				int          =      spanish_id.replace('''-'''		,   ''''''      ).upper()
    if len(__UpperCAmelCase      ) != 9:
        raise ValueError(__UpperCAmelCase      )

    try:
        UpperCamelCase__							:				List[str]          =      int(spanish_id_clean[0:8]      )
        UpperCamelCase__							:				Optional[int]          =      spanish_id_clean[8]
    except ValueError as ex:
        raise ValueError(__UpperCAmelCase      ) from ex

    if letter.isdigit():
        raise ValueError(__UpperCAmelCase      )

    return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
  import doctest

  doctest.testmod()

