


'''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   (   _lowerCAmelCase     , unittest.TestCase				):
 _lowerCAmelCase           =		RoFormerTokenizer
 _lowerCAmelCase           =		RoFormerTokenizerFast
 _lowerCAmelCase           =		True
 _lowerCAmelCase           =		True
 def 							__UpperCAmelCase						(       self  )    ->							Dict:
      super().setUp()
 def 							__UpperCAmelCase						(       self					, **__magic_name__  )    ->							Optional[Any]:
      return self.tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'					, **__magic_name__  )
 def 							__UpperCAmelCase						(       self					, **__magic_name__  )    ->							Optional[int]:
      return self.rust_tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'					, **__magic_name__  )
 def 							__UpperCAmelCase						(       self  )    ->							Any:
      _a						=							"永和服装饰品有限公司,今天天气非常好"
      _a						=							"永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"
      return input_text, output_text
 def 							__UpperCAmelCase						(       self  )    ->							List[str]:
      _a						=							self.get_tokenizer()
      _a						=							self.get_chinese_input_output_texts()
      _a						=							tokenizer.tokenize(__magic_name__  )

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

      _a						=							tokens + [tokenizer.unk_token]
      _a						=							[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(__magic_name__  )					, __magic_name__  )
 def 							__UpperCAmelCase						(       self  )    ->							Any:
      _a						=							self.get_rust_tokenizer()
      _a						=							self.get_chinese_input_output_texts()
      _a						=							tokenizer.tokenize(__magic_name__  )
      self.assertListEqual(__magic_name__					, output_text.split()  )
      _a						=							tokens + [tokenizer.unk_token]
      _a						=							[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(__magic_name__  )					, __magic_name__  )
 def 							__UpperCAmelCase						(       self  )    ->							str:
      pass
 def 							__UpperCAmelCase						(       self  )    ->							Union[str, Any]:
      pass




 def 							__UpperCAmelCase						(       self  )    ->							Dict:
      pass








'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase					:     Optional[Any]												={
    '''configuration_x_clip''': [
        '''XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XCLIPConfig''',
        '''XCLIPTextConfig''',
        '''XCLIPVisionConfig''',
    ],
    '''processing_x_clip''': ['''XCLIPProcessor'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase					:     Tuple												=[
     '''XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''XCLIPModel''',
     '''XCLIPPreTrainedModel''',
     '''XCLIPTextModel''',
     '''XCLIPVisionModel''',
 ]

if TYPE_CHECKING:
 from .configuration_x_clip import (
     XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
     XCLIPConfig,
     XCLIPTextConfig,
     XCLIPVisionConfig,
 )
 from .processing_x_clip import XCLIPProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_x_clip import (
      XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
      XCLIPModel,
      XCLIPPreTrainedModel,
      XCLIPTextModel,
      XCLIPVisionModel,
  )

else:
 import sys

 lowerCAmelCase					:     str												=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


