
"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__   :					List[Any]												=				logging.get_logger(__name__)

UpperCAmelCase__   :					Any												=				{
    'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json',
    'google/bigbird-roberta-large': 'https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json',
    'google/bigbird-base-trivia-itc': 'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json',
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}



class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				__UpperCamelCase   :		Dict       =     '''big_bird'''



				def __init__(self     , SCREAMING_SNAKE_CASE__=5_03_58     , SCREAMING_SNAKE_CASE__=7_68     , SCREAMING_SNAKE_CASE__=12     , SCREAMING_SNAKE_CASE__=12     , SCREAMING_SNAKE_CASE__=30_72     , SCREAMING_SNAKE_CASE__="gelu_new"     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=40_96     , SCREAMING_SNAKE_CASE__=2     , SCREAMING_SNAKE_CASE__=0.02     , SCREAMING_SNAKE_CASE__=1E-12     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=0     , SCREAMING_SNAKE_CASE__=1     , SCREAMING_SNAKE_CASE__=2     , SCREAMING_SNAKE_CASE__=66     , SCREAMING_SNAKE_CASE__="block_sparse"     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=64     , SCREAMING_SNAKE_CASE__=3     , SCREAMING_SNAKE_CASE__=None     , **SCREAMING_SNAKE_CASE__     , )      ->	Any:



											"""simple docstring"""




											super().__init__(
											    pad_token_id=SCREAMING_SNAKE_CASE__     , bos_token_id=SCREAMING_SNAKE_CASE__     , eos_token_id=SCREAMING_SNAKE_CASE__     , sep_token_id=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__     , )

											SCREAMING_SNAKE_CASE__		: List[Any]     =     vocab_size
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     max_position_embeddings
											SCREAMING_SNAKE_CASE__		: Tuple     =     hidden_size
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     num_hidden_layers
											SCREAMING_SNAKE_CASE__		: List[str]     =     num_attention_heads
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     intermediate_size
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     hidden_act
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     hidden_dropout_prob
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     attention_probs_dropout_prob
											SCREAMING_SNAKE_CASE__		: Tuple     =     initializer_range
											SCREAMING_SNAKE_CASE__		: int     =     type_vocab_size
											SCREAMING_SNAKE_CASE__		: Tuple     =     layer_norm_eps
											SCREAMING_SNAKE_CASE__		: Tuple     =     use_cache

											SCREAMING_SNAKE_CASE__		: List[Any]     =     rescale_embeddings
											SCREAMING_SNAKE_CASE__		: List[Any]     =     attention_type
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     use_bias
											SCREAMING_SNAKE_CASE__		: int     =     block_size
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     num_random_blocks
											SCREAMING_SNAKE_CASE__		: List[str]     =     classifier_dropout






class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				@property
				def 			__magic_name__					(self					)      ->	Mapping[str, Mapping[int, str]]:



											"""simple docstring"""




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






"""simple docstring"""




UpperCAmelCase__   :					Dict												=				[
    (1_0_0_0, 'M'),
    (9_0_0, 'CM'),
    (5_0_0, 'D'),
    (4_0_0, 'CD'),
    (1_0_0, 'C'),
    (9_0, 'XC'),
    (5_0, 'L'),
    (4_0, 'XL'),
    (1_0, 'X'),
    (9, 'IX'),
    (5, 'V'),
    (4, 'IV'),
    (1, 'I'),
]

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     {"""I""": 1, """V""": 5, """X""": 10, """L""": 50, """C""": 100, """D""": 500, """M""": 1_000}
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     0
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     0
							while place < len(_snake_case		):
														if (place + 1 < len(_snake_case		)) and (vals[roman[place]] < vals[roman[place + 1]]):
																					total += vals[roman[place + 1]] - vals[roman[place]]
																					place += 2
														else:
																					total += vals[roman[place]]
																					place += 1
							return total

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Optional[Any]     =     []
							for arabic, roman in ROMAN:
														((SCREAMING_SNAKE_CASE__)   ,   (SCREAMING_SNAKE_CASE__))		: List[Any]     =     divmod(_snake_case     ,_snake_case		)
														result.append(roman * factor		)
														if number == 0:
																					break
							return "".join(_snake_case		)


if __name__ == "__main__":
					import doctest

					doctest.testmod()




