

"""simple docstring"""



import math



class     a  :



    """simple docstring"""



    def  UpperCamelCase		(   self:       int			,  UpperCamelCase:       list[list[float]]			,  UpperCamelCase:       list[int]				):






         """simple docstring"""


         A__								=     0.0
         A__								=     0.0
         for i in range(len(lowercase_				)				):
              da += math.pow((sample[i] - weights[0][i])			,  2				)
              da += math.pow((sample[i] - weights[1][i])			,  2				)
              return 0 if da > da else 1
         return 0





    def  UpperCamelCase		(   self:       List[str]			,  UpperCamelCase:       list[list[int | float]]			,  UpperCamelCase:       list[int]			,  UpperCamelCase:       int			,  UpperCamelCase:       float				):






         """simple docstring"""


         for i in range(len(lowercase_				)				):
              weights[j][i] += alpha * (sample[i] - weights[j][i])
         return weights





def        _snake_case   (			):
     # Training Examples ( m, n )
     A__								=     [[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

     # weight initialization ( n, C )
     A__								=     [[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

     # training
     A__								=     SelfOrganizingMap()
     A__								=     3
     A__								=     0.5

     for _ in range(UpperCAmelCase__	):
          for j in range(len(UpperCAmelCase__	)	):
               # training sample
               A__								=     training_samples[j]

               # Compute the winning vector
               A__								=     self_organizing_map.get_winner(UpperCAmelCase__    ,      UpperCAmelCase__	)

               # Update the winning vector
               A__								=     self_organizing_map.update(UpperCAmelCase__    ,      UpperCAmelCase__    ,      UpperCAmelCase__    ,      UpperCAmelCase__	)

    # classify test sample
     A__								=     [0, 0, 0, 1]
     A__								=     self_organizing_map.get_winner(UpperCAmelCase__    ,      UpperCAmelCase__	)

     # results
     print(F"""Clusters that the test sample belongs to : {winner}"""	)
     print(F"""Weights that have been trained : {weights}"""	)


# running the main() function
if __name__ == "__main__":
 main()







'''simple docstring'''




from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url




@pytest.mark.parametrize("""repo_id"""      ,      ["""canonical_dataset_name""", """org-name/dataset-name"""] )
@pytest.mark.parametrize("""path"""      ,      ["""filename.csv""", """filename with blanks.csv"""] )
@pytest.mark.parametrize("""revision"""      ,      [None, """v2"""] )
def 							lowerCamelCase	(      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					Optional[int]      ,      UpperCAmelCase__       :					Optional[int] )			->      Optional[int]:
							lowercase_					:			Union[str, Any]										=       hf_hub_url(repo_id=UpperCAmelCase__      ,      path=UpperCAmelCase__      ,      revision=UpperCAmelCase__ )
							assert url == F'''https://huggingface.co/datasets/{repo_id}/resolve/{revision or 'main'}/{quote(UpperCAmelCase__ )}'''





