
from __future__ import annotations


def       a			(   a		,	a  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   '''''', '''''', ''''''
			SCREAMING_SNAKE_CASE    	=   []

			for character in message_part:
						tmp.append(character_to_number[character]  )

			for each in tmp:
						one += each[0]
						two += each[1]
						three += each[2]

			return one + two + three


def       a			(   a		,	a  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   '''''', ''''''
			SCREAMING_SNAKE_CASE    	=   []

			for character in message_part:
						this_part += character_to_number[character]

			for digit in this_part:
						tmp += digit
						if len(a  ) == len(a  ):
									result.append(a  )
									SCREAMING_SNAKE_CASE    	=   ''''''

			return result[0], result[1], result[2]


def       a			(   a		,	a  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   alphabet.replace(''' '''		,	''''''  ).upper()
			SCREAMING_SNAKE_CASE    	=   message.replace(''' '''		,	''''''  ).upper()

			# Check length and characters
			if len(a  ) != 27:
						raise KeyError('''Length of alphabet has to be 27.'''  )
			for each in message:
						if each not in alphabet:
									raise ValueError('''Each message character has to be included in alphabet!'''  )

    # Generate dictionares
			SCREAMING_SNAKE_CASE    	=   (
			    '''111''',
			    '''112''',
			    '''113''',
			    '''121''',
			    '''122''',
			    '''123''',
			    '''131''',
			    '''132''',
			    '''133''',
			    '''211''',
			    '''212''',
			    '''213''',
			    '''221''',
			    '''222''',
			    '''223''',
			    '''231''',
			    '''232''',
			    '''233''',
			    '''311''',
			    '''312''',
			    '''313''',
			    '''321''',
			    '''322''',
			    '''323''',
			    '''331''',
			    '''332''',
			    '''333''',
			)
			SCREAMING_SNAKE_CASE    	=   {}
			SCREAMING_SNAKE_CASE    	=   {}
			for letter, number in zip(a		,	a  ):
						SCREAMING_SNAKE_CASE    	=   number
						SCREAMING_SNAKE_CASE    	=   letter

			return message, alphabet, character_to_number, number_to_character


def       a			(   a		,	a = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."		,	a = 5  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   __prepare(
			    a		,	a  )
			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   '''''', ''''''

			for i in range(0		,	len(a  ) + 1		,	a  ):
						encrypted_numeric += __encrypt_part(
						    message[i : i + period]		,	a  )

			for i in range(0		,	len(a  )		,	3  ):
						encrypted += number_to_character[encrypted_numeric[i : i + 3]]

			return encrypted


def       a			(   a		,	a = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."		,	a = 5  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   __prepare(
			    a		,	a  )
			SCREAMING_SNAKE_CASE    	=   []
			SCREAMING_SNAKE_CASE    	=   ''''''

			for i in range(0		,	len(a  ) + 1		,	a  ):
						SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   __decrypt_part(message[i : i + period]		,	a  )

						for j in range(0		,	len(a  )  ):
									decrypted_numeric.append(a[j] + b[j] + c[j]  )

			for each in decrypted_numeric:
						decrypted += number_to_character[each]

			return decrypted


if __name__ == "__main__":
							__lowerCAmelCase				      =					'DEFEND THE EAST WALL OF THE CASTLE.'
							__lowerCAmelCase				      =					encrypt_message(msg, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
							__lowerCAmelCase				      =					decrypt_message(encrypted, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
							print(F'''Encrypted: {encrypted}\nDecrypted: {decrypted}''')

import numpy as np





class 						lowerCamelCase			:







	def __init__(    self			:Any      ,    lowercase			:List[Any]=5      ,    lowercase			:Optional[Any]=5 )		->			Tuple:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE    	=   depth
				SCREAMING_SNAKE_CASE    	=   0
				SCREAMING_SNAKE_CASE    	=   None
				SCREAMING_SNAKE_CASE    	=   None
				SCREAMING_SNAKE_CASE    	=   min_leaf_size
				SCREAMING_SNAKE_CASE    	=   None







	def    snake_case__    (    self			:str      ,    lowercase			:int      ,    lowercase			:int )		->			str:







				"""simple docstring"""






				if labels.ndim != 1:
							print('''Error: Input labels must be one dimensional''' )

				return np.mean((labels - prediction) ** 2 )







	def    snake_case__    (    self			:Union[str, Any]      ,    lowercase			:int      ,    lowercase			:Dict )		->			Tuple:







				"""simple docstring"""






				if x.ndim != 1:
							print('''Error: Input data set must be one dimensional''' )
							return
				if len(lowercase ) != len(lowercase ):
							print('''Error: X and y have different lengths''' )
							return
				if y.ndim != 1:
							print('''Error: Data set labels must be one dimensional''' )
							return

				if len(lowercase ) < 2 * self.min_leaf_size:
							SCREAMING_SNAKE_CASE    	=   np.mean(lowercase )
							return

				if self.depth == 1:
							SCREAMING_SNAKE_CASE    	=   np.mean(lowercase )
							return

				SCREAMING_SNAKE_CASE    	=   0
				SCREAMING_SNAKE_CASE    	=   self.mean_squared_error(lowercase      ,    np.mean(lowercase ) ) * 2
				for i in range(len(lowercase ) ):
							if len(x[:i] ) < self.min_leaf_size:
										continue
							elif len(x[i:] ) < self.min_leaf_size:
										continue
							else:
										SCREAMING_SNAKE_CASE    	=   self.mean_squared_error(x[:i]      ,    np.mean(y[:i] ) )
										SCREAMING_SNAKE_CASE    	=   self.mean_squared_error(x[i:]      ,    np.mean(y[i:] ) )
										SCREAMING_SNAKE_CASE    	=   error_left + error_right
										if error < min_error:
													SCREAMING_SNAKE_CASE    	=   i
													SCREAMING_SNAKE_CASE    	=   error

				if best_split != 0:
							SCREAMING_SNAKE_CASE    	=   x[:best_split]
							SCREAMING_SNAKE_CASE    	=   y[:best_split]
							SCREAMING_SNAKE_CASE    	=   x[best_split:]
							SCREAMING_SNAKE_CASE    	=   y[best_split:]

							SCREAMING_SNAKE_CASE    	=   x[best_split]
							SCREAMING_SNAKE_CASE    	=   DecisionTree(
							    depth=self.depth - 1      ,    min_leaf_size=self.min_leaf_size )
							SCREAMING_SNAKE_CASE    	=   DecisionTree(
							    depth=self.depth - 1      ,    min_leaf_size=self.min_leaf_size )
							self.left.train(lowercase      ,    lowercase )
							self.right.train(lowercase      ,    lowercase )
				else:
							SCREAMING_SNAKE_CASE    	=   np.mean(lowercase )

				return







	def    snake_case__    (    self			:Optional[int]      ,    lowercase			:List[Any] )		->			str:







				"""simple docstring"""






				if self.prediction is not None:
							return self.prediction
				elif self.left or self.right is not None:
							if x >= self.decision_boundary:
										return self.right.predict(lowercase )
							else:
										return self.left.predict(lowercase )
				else:
							print('''Error: Decision tree not yet trained''' )
							return None





class 						lowerCamelCase			:







	@staticmethod
	def    snake_case__    (    lowercase			:Optional[int]      ,    lowercase			:Optional[Any] )		->			Dict:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE    	=   float(0 )
				for label in labels:
							squared_error_sum += (label - prediction) ** 2

				return float(squared_error_sum / labels.size )



def       a			(   )    ->Any:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   np.arange(-1.0		,	1.0		,	0.0_05  )
			SCREAMING_SNAKE_CASE    	=   np.sin(a  )

			SCREAMING_SNAKE_CASE    	=   DecisionTree(depth=10		,	min_leaf_size=10  )
			tree.train(a		,	a  )

			SCREAMING_SNAKE_CASE    	=   (np.random.rand(10  ) * 2) - 1
			SCREAMING_SNAKE_CASE    	=   np.array([tree.predict(a  ) for x in test_cases]  )
			SCREAMING_SNAKE_CASE    	=   np.mean((predictions - test_cases) ** 2  )

			print('''Test values: ''' + str(a  )  )
			print('''Predictions: ''' + str(a  )  )
			print('''Average error: ''' + str(a  )  )


if __name__ == "__main__":
							main()
							import doctest

							doctest.testmod(name='mean_squarred_error', verbose=True)