



'''simple docstring'''






import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_rjieba
@require_tokenizers
class 							a__(					_a		, unittest.TestCase	):
    lowercase__ =    RoFormerTokenizer
    lowercase__ =    RoFormerTokenizerFast
    lowercase__ =    True
    lowercase__ =    True







    def 			lowercase_       (      self :  Dict	):
      super().setUp()







    def 			lowercase_       (      self :  Optional[Any]						,			**__snake_case :  List[str]	):
      return self.tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'						,			**UpperCamelCase__	)







    def 			lowercase_       (      self :  Any						,			**__snake_case :  Union[str, Any]	):
      return self.rust_tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'						,			**UpperCamelCase__	)







    def 			lowercase_       (      self :  str	):
      a						:					Any        =     '永和服装饰品有限公司,今天天气非常好'
      a						:					List[str]        =     '永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'
      return input_text, output_text







    def 			lowercase_       (      self :  Dict	):
      a						:					List[str]        =     self.get_tokenizer()
      a   ,	a						:					Dict        =     self.get_chinese_input_output_texts()
      a						:					Union[str, Any]        =     tokenizer.tokenize(UpperCamelCase__	)

      self.assertListEqual(UpperCamelCase__						,			output_text.split()	)

      a						:					int        =     tokens + [tokenizer.unk_token]
      a						:					Optional[int]        =     [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__	)						,			UpperCamelCase__	)







    def 			lowercase_       (      self :  Union[str, Any]	):
      a						:					Union[str, Any]        =     self.get_rust_tokenizer()
      a   ,	a						:					Dict        =     self.get_chinese_input_output_texts()
      a						:					Any        =     tokenizer.tokenize(UpperCamelCase__	)
      self.assertListEqual(UpperCamelCase__						,			output_text.split()	)
      a						:					Dict        =     tokens + [tokenizer.unk_token]
      a						:					int        =     [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__	)						,			UpperCamelCase__	)







    def 			lowercase_       (      self :  Dict	):
      pass







    def 			lowercase_       (      self :  List[Any]	):
      pass







    def 			lowercase_       (      self :  Union[str, Any]	):
      pass




'''simple docstring'''


from typing import TYPE_CHECKING

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


_lowerCamelCase	:       List[Any]      	=	{
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowerCamelCase	:       int      	=	[
       "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
       "M2M100ForConditionalGeneration",
       "M2M100Model",
       "M2M100PreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
   from .tokenization_mam_aaa import MaMaaaTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mam_aaa import (
          M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
          MaMaaaForConditionalGeneration,
          MaMaaaModel,
          MaMaaaPreTrainedModel,
      )


else:
   import sys

   _lowerCamelCase	:       Optional[int]      	=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

