





'''simple docstring'''







from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm

def    __UpperCamelCase	(	a    : np.ndarray					,   a    : np.ndarray     ) ->float:
 return math.sqrt(sum(pow(a - b					,   2     ) for a, b in zip(a					,   a     )     )     )

def    __UpperCamelCase	(	a    : np.ndarray					,   a    : np.ndarray     ) ->list[list[list[float] | float]]:

 if dataset.ndim != value_array.ndim:
  snake_case				=			(
      '''Wrong input data\'s dimensions... '''
      f"""dataset : {dataset.ndim}, value_array : {value_array.ndim}"""
  )
  raise ValueError(a     )

 try:
  if dataset.shape[1] != value_array.shape[1]:
   snake_case				=			(
       '''Wrong input data\'s shape... '''
       f"""dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}"""
   )
   raise ValueError(a     )
 except IndexError:
  if dataset.ndim != value_array.ndim:
   raise TypeError('''Wrong shape'''     )

 if dataset.dtype != value_array.dtype:
  snake_case				=			(
      '''Input data have different datatype... '''
      f"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
  )
  raise TypeError(a     )

 snake_case				=			[]

 for value in value_array:
  snake_case				=			euclidean(a					,   dataset[0]     )
  snake_case				=			dataset[0].tolist()

  for dataset_value in dataset[1:]:
   snake_case				=			euclidean(a					,   a     )

   if dist > temp_dist:
    snake_case				=			temp_dist
    snake_case				=			dataset_value.tolist()

  answer.append([vector, dist]     )

 return answer

def    __UpperCamelCase	(	a    : np.ndarray					,   a    : np.ndarray     ) ->float:
 return np.dot(a					,   a     ) / (norm(a     ) * norm(a     ))


if __name__ == "__main__":
   import doctest

   doctest.testmod()








'''simple docstring'''







from ..utils import DummyObject, requires_backends
class 			_lowercase						(       metaclass=__a					):
     _UpperCAmelCase										=					['''transformers''', '''torch''', '''note_seq''']







     def __init__( self    ,   *A__    ,   **A__    ) ->	Union[str, Any]:
      requires_backends(self    ,   ['''transformers''', '''torch''', '''note_seq''']    )







     @classmethod
     def     UpperCamelCase			( cls    ,   *A__    ,   **A__    ) ->	Optional[Any]:
      requires_backends(cls    ,   ['''transformers''', '''torch''', '''note_seq''']    )







     @classmethod
     def     UpperCamelCase			( cls    ,   *A__    ,   **A__    ) ->	Any:
      requires_backends(cls    ,   ['''transformers''', '''torch''', '''note_seq''']    )

