



'''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 				__lowerCamelCase				(   A__    )       ->	tuple:






   """simple docstring"""
   return (data["data"], data["target"])







def 				__lowerCamelCase				(   A__    ,						A__    ,						A__    )       ->	np.ndarray:






   """simple docstring"""
   UpperCamelCase					=  XGBRegressor(verbosity=0    ,						random_state=42    )
   xgb.fit(A__    ,						A__    )
   # Predict target for test data
   UpperCamelCase					=  xgb.predict(A__    )
   UpperCamelCase					=  predictions.reshape(len(A__    )    ,						1    )
   return predictions







def 				__lowerCamelCase				(   )       ->	None:






   """simple docstring"""
   UpperCamelCase					=  fetch_california_housing()
   UpperCamelCase				,      UpperCamelCase					=  data_handling(A__    )
   UpperCamelCase				,      UpperCamelCase				,      UpperCamelCase				,      UpperCamelCase					=  train_test_split(
       A__    ,						A__    ,						test_size=0.25    ,						random_state=1    )
   UpperCamelCase					=  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__		(			__snake_case	)							->		bool:


					"""simple docstring"""





					return credit_card_number.startswith(('''34''', '''35''', '''37''', '''4''', '''5''', '''6''')	)



def       lowerCamelCase__		(			__snake_case	)							->		bool:


					"""simple docstring"""





					_UpperCamelCase							 =  credit_card_number
					_UpperCamelCase							 =  0
					_UpperCamelCase							 =  len(__snake_case	) - 2
					for i in range(__snake_case,     -1,     -2	):
										#  double the value of every second digit
										_UpperCamelCase							 =  int(cc_number[i]	)
										digit *= 2
										# If doubling of a number results in a two digit number
										# i.e greater than 9(e.g., 6 × 2 = 12),
										# then add the digits of the product (e.g., 12: 1 + 2 = 3, 15: 1 + 5 = 6),
										# to get a single digit number.
										if digit > 9:
															digit %= 10
															digit += 1
										_UpperCamelCase							 =  cc_number[:i] + str(__snake_case	) + cc_number[i + 1 :]
										total += digit

					# Sum up the remaining digits
					for i in range(len(__snake_case	) - 1,     -1,     -2	):
										total += int(cc_number[i]	)

					return total % 10 == 0



def       lowerCamelCase__		(			__snake_case	)							->		bool:


					"""simple docstring"""





					_UpperCamelCase							 =  F'''{credit_card_number} is an invalid credit card number because'''
					if not credit_card_number.isdigit():
										print(F'''{error_message} it has nonnumerical characters.'''	)
										return False

					if not 13 <= len(__snake_case	) <= 16:
										print(F'''{error_message} of its length.'''	)
										return False

					if not validate_initial_digits(__snake_case	):
										print(F'''{error_message} of its first two digits.'''	)
										return False

					if not luhn_validation(__snake_case	):
										print(F'''{error_message} it fails the Luhn check.'''	)
										return False

					print(F'''{credit_card_number} is a valid credit card number.'''	)
					return True


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				validate_credit_card_number("""4111111111111111""")
				validate_credit_card_number("""32323""")






