
from collections import OrderedDict
from typing import Mapping

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


_lowercase											=    logging.get_logger(__name__)

_lowercase											=    {
    """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 			lowercase_		(      A       ):
       __lowerCamelCase				       =						"roberta"


       def __init__(    self						,       __A=50_265						,       __A=768						,       __A=12						,       __A=12						,       __A=3_072						,       __A="gelu"						,       __A=0.1						,       __A=0.1						,       __A=512						,       __A=2						,       __A=0.02						,       __A=1e-1_2						,       __A=1						,       __A=0						,       __A=2						,       __A="absolute"						,       __A=True						,       __A=None						,       **__A						,       )						->    Union[str, Any]:
              super().__init__(pad_token_id=__A						,       bos_token_id=__A						,       eos_token_id=__A						,       **__A				)

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






class 			lowercase_		(      A       ):


       @property
       def 	_snake_case				(    self				)						->    Mapping[str, Mapping[int, str]]:
              if self.task == "multiple-choice":
                     SCREAMING_SNAKE_CASE_							:				List[str]		={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
              else:
                     SCREAMING_SNAKE_CASE_							:				Tuple		={0: '''batch''', 1: '''sequence'''}
              return OrderedDict(
                  [
                      ('''input_ids''', dynamic_axis),
                      ('''attention_mask''', dynamic_axis),
                  ]				)


from __future__ import annotations
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     list[int | float]			,							UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     int				)			->						int | float:
       if len(UpperCAmelCase_				) == 0:
              raise ValueError('''find_max() arg is an empty sequence'''				)
       if (
           left >= len(UpperCAmelCase_				)
           or left < -len(UpperCAmelCase_				)
           or right >= len(UpperCAmelCase_				)
           or right < -len(UpperCAmelCase_				)
       ):
              raise IndexError('''list index out of range'''				)
       if left == right:
              return nums[left]
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=(left + right) >> 1  # the middle
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							UpperCAmelCase_			,							UpperCAmelCase_				)  # find max in range[left, mid]
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							mid + 1			,							UpperCAmelCase_				)  # find max in range[mid + 1, right]

       return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)
