




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_		(       UpperCamelCase__				:      dict      )     ->       tuple:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      np.ndarray ,     UpperCamelCase__				:      np.ndarray ,     UpperCamelCase__				:      np.ndarray      )     ->       np.ndarray:





				"""simple docstring"""


				__lowerCamelCase		       =    XGBRegressor(verbosity=0 ,     random_state=42      )
				xgb.fit(UpperCamelCase__ ,     UpperCamelCase__      )
				# Predict target for test data
				__lowerCamelCase		       =    xgb.predict(UpperCamelCase__      )
				__lowerCamelCase		       =    predictions.reshape(len(UpperCamelCase__      ) ,     1      )
				return predictions







def 			lowerCamelCase_		(       )     ->       None:





				"""simple docstring"""


				__lowerCamelCase		       =    fetch_california_housing()
				__lowerCamelCase       ,						__lowerCamelCase		       =    data_handling(UpperCamelCase__      )
				__lowerCamelCase       ,						__lowerCamelCase       ,						__lowerCamelCase       ,						__lowerCamelCase		       =    train_test_split(
				    UpperCamelCase__ ,     UpperCamelCase__ ,     test_size=0.25 ,     random_state=1      )
				__lowerCamelCase		       =    xgboost(UpperCamelCase__ ,     UpperCamelCase__ ,     UpperCamelCase__      )
				# Error printing
				print(F"""Mean Absolute Error : {mean_absolute_error(UpperCamelCase__ ,     UpperCamelCase__      )}"""      )
				print(F"""Mean Square Error  : {mean_squared_error(UpperCamelCase__ ,     UpperCamelCase__      )}"""      )


if __name__ == "__main__":
					import doctest

					doctest.testmod(verbose=True)
					main()








from math import sqrt







def 			lowerCamelCase_		(       UpperCamelCase__				:      int      )     ->       bool:





				"""simple docstring"""


				if 1 < number < 4:
								# 2 and 3 are primes
								return True
				elif number < 2 or number % 2 == 0 or number % 3 == 0:
								# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
								return False

				# All primes number are in format of 6k +/- 1
				for i in range(5 ,     int(sqrt(UpperCamelCase__      ) + 1      ) ,     6      ):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True







def 			lowerCamelCase_		(       UpperCamelCase__				:      int = 1_0001      )     ->       int:





				"""simple docstring"""


				__lowerCamelCase		       =    0
				__lowerCamelCase		       =    1
				while count != nth and number < 3:
								number += 1
								if is_prime(UpperCamelCase__      ):
												count += 1
				while count != nth:
								number += 2
								if is_prime(UpperCamelCase__      ):
												count += 1
				return number


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


