





from __future__ import annotations

__A							:			List[str]         =			"#"







class      lowerCamelCase:
     '''simple docstring'''


     def __init__(    self							):
         _A     =							{}




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							self._trie
         for char in text:
             if char not in trie:
                 _A     =							{}
             _A     =							trie[char]
         _A     =							True




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							self._trie
         for char in prefix:
             if char in trie:
                 _A     =							trie[char]
             else:
                 return []
         return self._elements(snake_case_							)




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							[]
         for c, v in d.items():
             _A     =							[' '] if c == END else [(c + s) for s in self._elements(snake_case_							)]
             result.extend(snake_case_							)
         return tuple(snake_case_							)




__A							:			int         =			Trie()
__A							:			List[str]         =			("depart", "detergent", "daring", "dog", "deer", "deal")
for word in words:
 trie.insert_word(word)





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> tuple:




    """simple docstring"""




    _A     =							trie.find_word(_SCREAMING_SNAKE_CASE				)
    return tuple(string + word for word in suffixes				)





def 				__lowerCAmelCase(       )							-> None:




    """simple docstring"""




    print(autocomplete_using_trie('de'				)				)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()











from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm





def        __UpperCAmelCase						(							lowerCamelCase_ :     np.ndarray  ,							lowerCamelCase_ :     np.ndarray  )       ->  float:







			"""simple docstring"""





			return math.sqrt(sum(pow(a - b  ,							2  ) for a, b in zip(lowerCamelCase_  ,							lowerCamelCase_  )  )  )





def        __UpperCAmelCase						(							lowerCamelCase_ :     np.ndarray  ,							lowerCamelCase_ :     np.ndarray  )       ->  list[list[list[float] | float]]:







			"""simple docstring"""





			if dataset.ndim != value_array.ndim:
						SCREAMING_SNAKE_CASE_   : Optional[int]					  =      (
						    'Wrong input data\'s dimensions... '
						    F'dataset : {dataset.ndim}, value_array : {value_array.ndim}'
						)
						raise ValueError(lowerCamelCase_  )

			try:
						if dataset.shape[1] != value_array.shape[1]:
									SCREAMING_SNAKE_CASE_   : List[Any]					  =      (
									    'Wrong input data\'s shape... '
									    F'dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}'
									)
									raise ValueError(lowerCamelCase_  )
			except IndexError:
						if dataset.ndim != value_array.ndim:
									raise TypeError('Wrong shape'  )

			if dataset.dtype != value_array.dtype:
						SCREAMING_SNAKE_CASE_   : Tuple					  =      (
						    'Input data have different datatype... '
						    F'dataset : {dataset.dtype}, value_array : {value_array.dtype}'
						)
						raise TypeError(lowerCamelCase_  )

			SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      []

			for value in value_array:
						SCREAMING_SNAKE_CASE_   : str					  =      euclidean(lowerCamelCase_  ,							dataset[0]  )
						SCREAMING_SNAKE_CASE_   : List[Any]					  =      dataset[0].tolist()

						for dataset_value in dataset[1:]:
									SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      euclidean(lowerCamelCase_  ,							lowerCamelCase_  )

									if dist > temp_dist:
												SCREAMING_SNAKE_CASE_   : Optional[int]					  =      temp_dist
												SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      dataset_value.tolist()

						answer.append([vector, dist]  )

			return answer





def        __UpperCAmelCase						(							lowerCamelCase_ :     np.ndarray  ,							lowerCamelCase_ :     np.ndarray  )       ->  float:







			"""simple docstring"""





			return np.dot(lowerCamelCase_  ,							lowerCamelCase_  ) / (norm(lowerCamelCase_  ) * norm(lowerCamelCase_  ))


if __name__ == "__main__":
						import doctest

						doctest.testmod()



