



"""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     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE,unittest.TestCase  ):
   A__		:	List[Any]           =  RoFormerTokenizer
   A__		:	Tuple           =  RoFormerTokenizerFast
   A__		:	Union[str, Any]           =  True
   A__		:	Optional[Any]           =  True



   def    __UpperCAmelCase    (       self    :	Union[str, Any]				):



     """simple docstring"""
     super().setUp()



   def    __UpperCAmelCase    (       self    :	Any							,       **__lowerCamelCase    :	Optional[Any]				):



     """simple docstring"""
     return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''							,       **__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	Dict							,       **__lowerCamelCase    :	List[str]				):



     """simple docstring"""
     return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''							,       **__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	Any				):



     """simple docstring"""
     _snake_case   	=      '''永和服装饰品有限公司,今天天气非常好'''
     _snake_case   	=      '''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]				):



     """simple docstring"""
     _snake_case   	=      self.get_tokenizer()
     _snake_case	,     _snake_case   	=      self.get_chinese_input_output_texts()
     _snake_case   	=      tokenizer.tokenize(__lowerCamelCase				)

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

     _snake_case   	=      tokens + [tokenizer.unk_token]
     _snake_case   	=      [2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase				)							,       __lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	Any				):



     """simple docstring"""
     _snake_case   	=      self.get_rust_tokenizer()
     _snake_case	,     _snake_case   	=      self.get_chinese_input_output_texts()
     _snake_case   	=      tokenizer.tokenize(__lowerCamelCase				)
     self.assertListEqual(__lowerCamelCase							,       output_text.split()				)
     _snake_case   	=      tokens + [tokenizer.unk_token]
     _snake_case   	=      [2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase				)							,       __lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	int				):



     """simple docstring"""
     pass



   def    __UpperCAmelCase    (       self    :	str				):



     """simple docstring"""
     pass





   def    __UpperCAmelCase    (       self    :	Any				):



     """simple docstring"""
     pass






'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__snake_case						  =		logging.get_logger(__name__)

__snake_case						  =		{
    """microsoft/table-transformer-detection""": (
        """https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json"""
    ),
}





class       _a    (		__a      ):


  """simple docstring"""

  A_    							=						'''table-transformer'''
  A_    							=						['''past_key_values''']
  A_    							=						{
      '''hidden_size''': '''d_model''',
      '''num_attention_heads''': '''encoder_attention_heads''',
  }




  def __init__(		self      :       str   ,				lowercase_      :       str=True   ,				lowercase_      :       List[str]=None   ,				lowercase_      :       Dict=3   ,				lowercase_      :       Optional[Any]=100   ,				lowercase_      :       Optional[int]=6   ,				lowercase_      :       Optional[Any]=2_048   ,				lowercase_      :       List[Any]=8   ,				lowercase_      :       Optional[Any]=6   ,				lowercase_      :       int=2_048   ,				lowercase_      :       Any=8   ,				lowercase_      :       Optional[Any]=0.0   ,				lowercase_      :       int=0.0   ,				lowercase_      :       Dict=True   ,				lowercase_      :       int="relu"   ,				lowercase_      :       Tuple=256   ,				lowercase_      :       Dict=0.1   ,				lowercase_      :       List[str]=0.0   ,				lowercase_      :       List[str]=0.0   ,				lowercase_      :       int=0.0_2   ,				lowercase_      :       List[str]=1.0   ,				lowercase_      :       Optional[int]=False   ,				lowercase_      :       List[Any]="sine"   ,				lowercase_      :       Optional[int]="resnet50"   ,				lowercase_      :       Union[str, Any]=True   ,				lowercase_      :       Union[str, Any]=False   ,				lowercase_      :       List[str]=1   ,				lowercase_      :       Any=5   ,				lowercase_      :       Optional[int]=2   ,				lowercase_      :       Dict=1   ,				lowercase_      :       Optional[int]=1   ,				lowercase_      :       Dict=5   ,				lowercase_      :       Optional[int]=2   ,				lowercase_      :       Optional[Any]=0.1   ,				**lowercase_      :       List[str]   ,				):







    '''simple docstring'''


    if backbone_config is not None and use_timm_backbone:
      raise ValueError("""You can't specify both `backbone_config` and `use_timm_backbone`."""      )

    if not use_timm_backbone:
      if backbone_config is None:
        logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""      )
        lowercase_     =       CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]      )
      elif isinstance(lowercase_   ,				lowercase_      ):
        lowercase_     =       backbone_config.get("""model_type"""      )
        lowercase_     =       CONFIG_MAPPING[backbone_model_type]
        lowercase_     =       config_class.from_dict(lowercase_      )
      # set timm attributes to None
      lowercase_     ,	lowercase_     ,	lowercase_     =       None, None, None

    lowercase_     =       use_timm_backbone
    lowercase_     =       backbone_config
    lowercase_     =       num_channels
    lowercase_     =       num_queries
    lowercase_     =       d_model
    lowercase_     =       encoder_ffn_dim
    lowercase_     =       encoder_layers
    lowercase_     =       encoder_attention_heads
    lowercase_     =       decoder_ffn_dim
    lowercase_     =       decoder_layers
    lowercase_     =       decoder_attention_heads
    lowercase_     =       dropout
    lowercase_     =       attention_dropout
    lowercase_     =       activation_dropout
    lowercase_     =       activation_function
    lowercase_     =       init_std
    lowercase_     =       init_xavier_std
    lowercase_     =       encoder_layerdrop
    lowercase_     =       decoder_layerdrop
    lowercase_     =       encoder_layers
    lowercase_     =       auxiliary_loss
    lowercase_     =       position_embedding_type
    lowercase_     =       backbone
    lowercase_     =       use_pretrained_backbone
    lowercase_     =       dilation
    # Hungarian matcher
    lowercase_     =       class_cost
    lowercase_     =       bbox_cost
    lowercase_     =       giou_cost
    # Loss coefficients
    lowercase_     =       mask_loss_coefficient
    lowercase_     =       dice_loss_coefficient
    lowercase_     =       bbox_loss_coefficient
    lowercase_     =       giou_loss_coefficient
    lowercase_     =       eos_coefficient
    super().__init__(is_encoder_decoder=lowercase_   ,				**lowercase_      )




  @property
  def 		lowerCamelCase__  (		self      :       Tuple      ):







    '''simple docstring'''


    return self.encoder_attention_heads





  @property
  def 		lowerCamelCase__  (		self      :       Dict      ):







    '''simple docstring'''


    return self.d_model






class       _a    (		__a      ):


  """simple docstring"""

  A_    							=						version.parse('''1.11'''      )




  @property
  def 		lowerCamelCase__  (		self      :       int      ):







    '''simple docstring'''


    return OrderedDict(
        [
            ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
            ("""pixel_mask""", {0: """batch"""}),
        ]      )




  @property
  def 		lowerCamelCase__  (		self      :       List[Any]      ):







    '''simple docstring'''


    return 1e-5





  @property
  def 		lowerCamelCase__  (		self      :       Union[str, Any]      ):







    '''simple docstring'''


    return 12

