





'''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    lowerCAmelCase_		(		a__						,unittest.TestCase		):
 __lowerCamelCase						:							Tuple         =					RoFormerTokenizer
 __lowerCamelCase						:							Tuple         =					RoFormerTokenizerFast
 __lowerCamelCase						:							Optional[Any]         =					True
 __lowerCamelCase						:							int         =					True




 def 							_snake_case   (	self		)    ->							Union[str, Any]:
     super().setUp()




 def 							_snake_case   (	self			,     **_lowerCAmelCase		)    ->							Union[str, Any]:
     return self.tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"			,     **lowerCamelCase_		)




 def 							_snake_case   (	self			,     **_lowerCAmelCase		)    ->							int:
     return self.rust_tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"			,     **lowerCamelCase_		)




 def 							_snake_case   (	self		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      "永和服装饰品有限公司,今天天气非常好"
     _lowerCAmelCase				=      "永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"
     return input_text, output_text




 def 							_snake_case   (	self		)    ->							int:
     _lowerCAmelCase				=      self.get_tokenizer()
     _lowerCAmelCase			,			_lowerCAmelCase				=      self.get_chinese_input_output_texts()
     _lowerCAmelCase				=      tokenizer.tokenize(lowerCamelCase_		)

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

     _lowerCAmelCase				=      tokens + [tokenizer.unk_token]
     _lowerCAmelCase				=      [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_		)			,     lowerCamelCase_		)




 def 							_snake_case   (	self		)    ->							str:
     _lowerCAmelCase				=      self.get_rust_tokenizer()
     _lowerCAmelCase			,			_lowerCAmelCase				=      self.get_chinese_input_output_texts()
     _lowerCAmelCase				=      tokenizer.tokenize(lowerCamelCase_		)
     self.assertListEqual(lowerCamelCase_			,     output_text.split()		)
     _lowerCAmelCase				=      tokens + [tokenizer.unk_token]
     _lowerCAmelCase				=      [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_		)			,     lowerCamelCase_		)




 def 							_snake_case   (	self		)    ->							Optional[int]:
     pass




 def 							_snake_case   (	self		)    ->							List[str]:
     pass





 def 							_snake_case   (	self		)    ->							str:
     pass






'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_SCREAMING_SNAKE_CASE	 =							{
    "configuration_bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
        "BigBirdPegasusOnnxConfig",
    ],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							[
           "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
           "BigBirdPegasusForCausalLM",
           "BigBirdPegasusForConditionalGeneration",
           "BigBirdPegasusForQuestionAnswering",
           "BigBirdPegasusForSequenceClassification",
           "BigBirdPegasusModel",
           "BigBirdPegasusPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_bigbird_pegasus import (
           BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
           BigBirdPegasusConfig,
           BigBirdPegasusOnnxConfig,
       )

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_bigbird_pegasus import (
                  BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
                  BigBirdPegasusForCausalLM,
                  BigBirdPegasusForConditionalGeneration,
                  BigBirdPegasusForQuestionAnswering,
                  BigBirdPegasusForSequenceClassification,
                  BigBirdPegasusModel,
                  BigBirdPegasusPreTrainedModel,
              )


else:
       import sys

       _SCREAMING_SNAKE_CASE	 =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


