






from collections import OrderedDict
from typing import Mapping

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


_a    :   int        =			logging.get_logger(__name__)

_a    :   List[Any]        =			{
    """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/config.json""",
    """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/config.json""",
    """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/config.json""",
    """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/config.json""",
    """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json""",
    """roberta-large-openai-detector""": """https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json""",
}







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    '''roberta'''
      def __init__(   self    ,	_lowerCAmelCase=50_265    ,	_lowerCAmelCase=768    ,	_lowerCAmelCase=12    ,	_lowerCAmelCase=12    ,	_lowerCAmelCase=3_072    ,	_lowerCAmelCase="gelu"    ,	_lowerCAmelCase=0.1    ,	_lowerCAmelCase=0.1    ,	_lowerCAmelCase=512    ,	_lowerCAmelCase=2    ,	_lowerCAmelCase=0.02    ,	_lowerCAmelCase=1e-12    ,	_lowerCAmelCase=1    ,	_lowerCAmelCase=0    ,	_lowerCAmelCase=2    ,	_lowerCAmelCase="absolute"    ,	_lowerCAmelCase=True    ,	_lowerCAmelCase=None    ,	**_lowerCAmelCase    ,	):



          '''simple docstring'''
          super().__init__(pad_token_id=_lowerCAmelCase    ,	bos_token_id=_lowerCAmelCase    ,	eos_token_id=_lowerCAmelCase    ,	**_lowerCAmelCase		)

          lowerCAmelCase__   :Tuple      							=				vocab_size
          lowerCAmelCase__   :Optional[int]      							=				hidden_size
          lowerCAmelCase__   :Tuple      							=				num_hidden_layers
          lowerCAmelCase__   :Optional[int]      							=				num_attention_heads
          lowerCAmelCase__   :List[str]      							=				hidden_act
          lowerCAmelCase__   :Any      							=				intermediate_size
          lowerCAmelCase__   :Any      							=				hidden_dropout_prob
          lowerCAmelCase__   :Optional[int]      							=				attention_probs_dropout_prob
          lowerCAmelCase__   :int      							=				max_position_embeddings
          lowerCAmelCase__   :Optional[int]      							=				type_vocab_size
          lowerCAmelCase__   :Optional[int]      							=				initializer_range
          lowerCAmelCase__   :List[Any]      							=				layer_norm_eps
          lowerCAmelCase__   :Any      							=				position_embedding_type
          lowerCAmelCase__   :Dict      							=				use_cache
          lowerCAmelCase__   :Any      							=				classifier_dropout







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      @property
      def 			snake_case_      (   self		):



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











from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

_a    :   Optional[Any]        =			[
    """python""",
    """tqdm""",
    """regex""",
    """requests""",
    """packaging""",
    """filelock""",
    """numpy""",
    """tokenizers""",
    """huggingface-hub""",
    """safetensors""",
    """accelerate""",
    """pyyaml""",
]

for pkg in pkgs_to_check_at_runtime:
 if pkg in deps:
  if pkg == "tokenizers":
   # must be loaded here, or else tqdm check may fail
   from .utils import is_tokenizers_available

   if not is_tokenizers_available():
    continue  # not required, check version only if installed
  elif pkg == "accelerate":
   # must be loaded here, or else tqdm check may fail
   from .utils import is_accelerate_available

   # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
   # Transformers with PyTorch
   if not is_accelerate_available():
    continue  # not required, check version only if installed

  require_version_core(deps[pkg])
 else:
  raise ValueError(f"""can't find {pkg} in {deps.keys()}, check dependency_versions_table.py""")


def 				snake_case__							(							UpperCAmelCase							:  Any    ,			UpperCAmelCase							:  Union[str, Any]=None       ):
    require_version(deps[pkg]    ,			UpperCAmelCase       )



