
'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


snake_case									=    logging.get_logger(__name__)

snake_case									=    {
    """facebook/xlm-roberta-xl""": """https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json""",
    """facebook/xlm-roberta-xxl""": """https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json""",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				Dict	=			"""xlm-roberta-xl"""


 def __init__(    self  : List[str]			,							a__  : Union[str, Any]=25_0880			,							a__  : Tuple=2560			,							a__  : List[Any]=36			,							a__  : Optional[Any]=32			,							a__  : Optional[Any]=1_0240			,							a__  : List[str]="gelu"			,							a__  : Dict=0.1			,							a__  : Optional[int]=0.1			,							a__  : Dict=514			,							a__  : Tuple=1			,							a__  : List[Any]=0.02			,							a__  : Optional[Any]=1e-05			,							a__  : Any=1			,							a__  : Union[str, Any]=0			,							a__  : Union[str, Any]=2			,							a__  : int="absolute"			,							a__  : Union[str, Any]=True			,							a__  : List[Any]=None			,							**a__  : Optional[int]			,							):
  '''simple docstring'''

  super().__init__(pad_token_id=a__			,							bos_token_id=a__			,							eos_token_id=a__			,							**a__    )
  lowerCAmelCase__     :   List[str]     		=	vocab_size
  lowerCAmelCase__     :   Union[str, Any]     		=	hidden_size
  lowerCAmelCase__     :   Tuple     		=	num_hidden_layers
  lowerCAmelCase__     :   str     		=	num_attention_heads
  lowerCAmelCase__     :   Tuple     		=	hidden_act
  lowerCAmelCase__     :   Optional[int]     		=	intermediate_size
  lowerCAmelCase__     :   List[str]     		=	hidden_dropout_prob
  lowerCAmelCase__     :   Optional[int]     		=	attention_probs_dropout_prob
  lowerCAmelCase__     :   Optional[Any]     		=	max_position_embeddings
  lowerCAmelCase__     :   Optional[Any]     		=	type_vocab_size
  lowerCAmelCase__     :   Optional[Any]     		=	initializer_range
  lowerCAmelCase__     :   Any     		=	layer_norm_eps
  lowerCAmelCase__     :   int     		=	position_embedding_type
  lowerCAmelCase__     :   Union[str, Any]     		=	use_cache
  lowerCAmelCase__     :   Union[str, Any]     		=	classifier_dropout




class    lowerCAmelCase       (     UpperCamelCase_  ):


 @property
 def    _A	(    self  : Dict    ):
  '''simple docstring'''

  if self.task == "multiple-choice":
   lowerCAmelCase__     :   str     		=	{0: "batch", 1: "choice", 2: "sequence"}
  else:
   lowerCAmelCase__     :   List[str]     		=	{0: "batch", 1: "sequence"}
  return OrderedDict(
      [
          ("input_ids", dynamic_axis),
          ("attention_mask", dynamic_axis),
      ]    )







'''simple docstring'''

import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
snake_case									=    """."""


if __name__ == "__main__":
     snake_case									=    os.path.join(REPO_PATH, """utils/documentation_tests.txt""")
     snake_case									=    []
     snake_case									=    []
     with open(doctest_file_path) as fp:
          for line in fp:
               snake_case									=    line.strip()
               snake_case									=    os.path.join(REPO_PATH, line)
               if not (os.path.isfile(path) or os.path.isdir(path)):
                    non_existent_paths.append(line)
               all_paths.append(path)
     if len(non_existent_paths) > 0:
          snake_case									=    """\n""".join(non_existent_paths)
          raise ValueError(f'`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}')
     if all_paths != sorted(all_paths):
          raise ValueError("""Files in `utils/documentation_tests.txt` are not in alphabetical order.""")





