import itertools
import os
import re


SCREAMING_SNAKE_CASE__		:       int       						=       re.compile(r"([A-Z]+)([A-Z][a-z])")
SCREAMING_SNAKE_CASE__		:       List[Any]       						=       re.compile(r"([a-z\d])([A-Z])")

SCREAMING_SNAKE_CASE__		:       List[Any]       						=       re.compile(r"(?<!_)_(?!_)")
SCREAMING_SNAKE_CASE__		:       int       						=       re.compile(r"(_{2,})")

SCREAMING_SNAKE_CASE__		:       Dict       						=       r"^\w+(\.\w+)*$"

SCREAMING_SNAKE_CASE__		:       str       						=       r"<>:/\|?*"







def      _a					(   lowercase__	:      Union[str, Any]			):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					Optional[Any]      =		_uppercase_uppercase_re.sub(r'\1_\2'  ,	_SCREAMING_SNAKE_CASE			)
     SCREAMING_SNAKE_CASE__					:					str      =		_lowercase_uppercase_re.sub(r'\1_\2'  ,	_SCREAMING_SNAKE_CASE			)
     return name.lower()







def      _a					(   lowercase__	:      int			):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					int      =		_single_underscore_re.split(_SCREAMING_SNAKE_CASE			)
     SCREAMING_SNAKE_CASE__					:					Optional[int]      =		[_multiple_underscores_re.split(_SCREAMING_SNAKE_CASE			) for n in name]
     return "".join(n.capitalize() for n in itertools.chain.from_iterable(_SCREAMING_SNAKE_CASE			) if n != ''			)







def      _a					(   lowercase__	:      str			):







     '''simple docstring'''


     if os.path.basename(_SCREAMING_SNAKE_CASE			) != name:
          raise ValueError(f'''Should be a dataset name, not a path: {name}'''			)
     return camelcase_to_snakecase(_SCREAMING_SNAKE_CASE			)







def      _a					(   lowercase__	:      Union[str, Any]  ,	lowercase__	:      str			):







     '''simple docstring'''


     if os.path.basename(_SCREAMING_SNAKE_CASE			) != name:
          raise ValueError(f'''Should be a dataset name, not a path: {name}'''			)
     if not re.match(_split_re  ,	_SCREAMING_SNAKE_CASE			):
          raise ValueError(f'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''			)
     return f'''{filename_prefix_for_name(_SCREAMING_SNAKE_CASE			)}-{split}'''







def      _a					(   lowercase__	:      Union[str, Any]  ,	lowercase__	:      Optional[Any]  ,	lowercase__	:      Optional[int]  ,	lowercase__	:      Union[str, Any]=None			):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					Union[str, Any]      =		filename_prefix_for_split(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE			)
     if filetype_suffix:
          prefix += f'''.{filetype_suffix}'''
     SCREAMING_SNAKE_CASE__					:					Dict      =		os.path.join(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE			)
     return f'''{filepath}*'''







def      _a					(   lowercase__	:      int  ,	lowercase__	:      List[str]  ,	lowercase__	:      int  ,	lowercase__	:      List[Any]=None  ,	lowercase__	:      List[str]=None			):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					List[str]      =		filename_prefix_for_split(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE			)
     SCREAMING_SNAKE_CASE__					:					Dict      =		os.path.join(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE			)

     if shard_lengths:
          SCREAMING_SNAKE_CASE__					:					List[Any]      =		len(_SCREAMING_SNAKE_CASE			)
          SCREAMING_SNAKE_CASE__					:					Union[str, Any]      =		[f'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(_SCREAMING_SNAKE_CASE			)]
          if filetype_suffix:
               SCREAMING_SNAKE_CASE__					:					Union[str, Any]      =		[filename + f'''.{filetype_suffix}''' for filename in filenames]
          return filenames
     else:
          SCREAMING_SNAKE_CASE__					:					Optional[int]      =		prefix
          if filetype_suffix:
               filename += f'''.{filetype_suffix}'''
          return [filename]







'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__  			=				logging.get_logger(__name__)

UpperCAmelCase__  			=				{
    '''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 						a__					(					a_   ):





			'''simple docstring'''

			A						:				Union[str, Any]					      =			'''roberta'''
			def __init__(  self							:			Any			,    lowerCAmelCase_							:			int=50_265			,    lowerCAmelCase_							:			int=768			,    lowerCAmelCase_							:			Optional[Any]=12			,    lowerCAmelCase_							:			Tuple=12			,    lowerCAmelCase_							:			Optional[int]=3_072			,    lowerCAmelCase_							:			List[str]="gelu"			,    lowerCAmelCase_							:			List[str]=0.1			,    lowerCAmelCase_							:			Tuple=0.1			,    lowerCAmelCase_							:			List[Any]=512			,    lowerCAmelCase_							:			Union[str, Any]=2			,    lowerCAmelCase_							:			List[Any]=0.02			,    lowerCAmelCase_							:			Optional[int]=1E-12			,    lowerCAmelCase_							:			str=1			,    lowerCAmelCase_							:			Dict=0			,    lowerCAmelCase_							:			Any=2			,    lowerCAmelCase_							:			List[str]="absolute"			,    lowerCAmelCase_							:			Any=True			,    lowerCAmelCase_							:			Dict=None			,    **lowerCAmelCase_							:			Any			,    )      ->		int:
						super().__init__(pad_token_id=lowerCAmelCase_			,    bos_token_id=lowerCAmelCase_			,    eos_token_id=lowerCAmelCase_			,    **lowerCAmelCase_	)

						__A=	vocab_size
						__A=	hidden_size
						__A=	num_hidden_layers
						__A=	num_attention_heads
						__A=	hidden_act
						__A=	intermediate_size
						__A=	hidden_dropout_prob
						__A=	attention_probs_dropout_prob
						__A=	max_position_embeddings
						__A=	type_vocab_size
						__A=	initializer_range
						__A=	layer_norm_eps
						__A=	position_embedding_type
						__A=	use_cache
						__A=	classifier_dropout


class 						a__					(					a_   ):





			'''simple docstring'''

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



