






'''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_    (    UpperCamelCase_		,      unittest.TestCase							):
   _snake_case        =							CpmAntTokenizer
   _snake_case        =							False







   def     SCREAMING_SNAKE_CASE__					(self)			->      List[Any]:
      """simple docstring"""






      super().setUp()

      __snake_case				:      List[Any]     							= [
          '<d>',
          '</d>',
          '<s>',
          '</s>',
          '</_>',
          '<unk>',
          '<pad>',
          '</n>',
          '我',
          '是',
          'C',
          'P',
          'M',
          'A',
          'n',
          't',
      ]
      __snake_case				:      List[Any]     							= 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     SCREAMING_SNAKE_CASE__					(self)			->      int:
      """simple docstring"""






      __snake_case				:      Any     							= CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b')
      __snake_case				:      Union[str, Any]     							= '今天天气真好！'
      __snake_case				:      Tuple     							= ['今天', '天气', '真', '好', '！']
      __snake_case				:      Tuple     							= tokenizer.tokenize(__a)
      self.assertListEqual(__a					,   __a)
      __snake_case				:      Optional[int]     							= '今天天气真好！'
      __snake_case				:      str     							= [tokenizer.bos_token] + tokens

      __snake_case				:      Any     							= [6, 9_8_0_2, 1_4_9_6_2, 2_0_8_2, 8_3_1, 2_4_4]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__a)					,   __a)

      __snake_case				:      List[Any]     							= tokenizer.decode(__a)
      self.assertEqual(__a					,   __a)









'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__A    	=   {
    '''configuration_biogpt''': ['''BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BioGptConfig'''],
    '''tokenization_biogpt''': ['''BioGptTokenizer'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __A    	=   [
          '''BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''BioGptForCausalLM''',
          '''BioGptForTokenClassification''',
          '''BioGptForSequenceClassification''',
          '''BioGptModel''',
          '''BioGptPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
      from .tokenization_biogpt import BioGptTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_biogpt import (
                BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
                BioGptForCausalLM,
                BioGptForSequenceClassification,
                BioGptForTokenClassification,
                BioGptModel,
                BioGptPreTrainedModel,
            )


else:
      import sys

      __A    	=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)