"""simple docstring"""


import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin


@require_jieba
class 				a (						lowerCAmelCase_		,							unittest.TestCase      ):
    _snake_case   :     Dict   							=							CpmAntTokenizer
    _snake_case   :     List[str]   							=							False


    def    lowerCAmelCase_     (    self		:     List[str]    ):
      super().setUp()

      _UpperCAmelCase         =					[
          """<d>""",
          """</d>""",
          """<s>""",
          """</s>""",
          """</_>""",
          """<unk>""",
          """<pad>""",
          """</n>""",
          """我""",
          """是""",
          """C""",
          """P""",
          """M""",
          """A""",
          """n""",
          """t""",
      ]
      _UpperCAmelCase         =					os.path.join(self.tmpdirname      , VOCAB_FILES_NAMES["""vocab_file"""]    )
      with open(self.vocab_file      , """w"""      , encoding="""utf-8"""    ) as vocab_writer:
        vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]    )    )


    @tooslow
    def    lowerCAmelCase_     (    self		:     Optional[int]    ):
      _UpperCAmelCase         =					CpmAntTokenizer.from_pretrained("""openbmb/cpm-ant-10b"""    )
      _UpperCAmelCase         =					"""今天天气真好！"""
      _UpperCAmelCase         =					["""今天""", """天气""", """真""", """好""", """！"""]
      _UpperCAmelCase         =					tokenizer.tokenize(__lowerCAmelCase    )
      self.assertListEqual(__lowerCAmelCase      , __lowerCAmelCase    )
      _UpperCAmelCase         =					"""今天天气真好！"""
      _UpperCAmelCase         =					[tokenizer.bos_token] + tokens

      _UpperCAmelCase         =					[6, 9802, 1_4962, 2082, 831, 244]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase    )      , __lowerCAmelCase    )

      _UpperCAmelCase         =					tokenizer.decode(__lowerCAmelCase    )
      self.assertEqual(__lowerCAmelCase      , __lowerCAmelCase    )

"""simple docstring"""


import math


class 				a :


    def    lowerCAmelCase_     (    self		:     Tuple      , __lowerCAmelCase		:     list[list[float]]      , __lowerCAmelCase		:     list[int]    ):
      _UpperCAmelCase         =					0.0
      _UpperCAmelCase         =					0.0
      for i in range(len(__lowerCAmelCase    )    ):
        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    lowerCAmelCase_     (    self		:     Union[str, Any]      , __lowerCAmelCase		:     list[list[int | float]]      , __lowerCAmelCase		:     list[int]      , __lowerCAmelCase		:     int      , __lowerCAmelCase		:     float    ):
      for i in range(len(__lowerCAmelCase    )    ):
        weights[j][i] += alpha * (sample[i] - weights[j][i])
      return weights






def 			__UpperCAmelCase    (	):







  """simple docstring"""
  # Training Examples ( m, n )
  _UpperCAmelCase         =					[[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

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

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

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

      # Compute the winning vector
      _UpperCAmelCase         =					self_organizing_map.get_winner(lowercase      ,lowercase						)

      # Update the winning vector
      _UpperCAmelCase         =					self_organizing_map.update(lowercase      ,lowercase      ,lowercase      ,lowercase						)

    # classify test sample
  _UpperCAmelCase         =					[0, 0, 0, 1]
  _UpperCAmelCase         =					self_organizing_map.get_winner(lowercase      ,lowercase						)

  # 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()
