






"""simple docstring"""







import itertools
import os
import re


lowerCAmelCase_	:    List[Any]            =      re.compile(R'''([A-Z]+)([A-Z][a-z])''')
lowerCAmelCase_	:    str            =      re.compile(R'''([a-z\d])([A-Z])''')

lowerCAmelCase_	:    List[str]            =      re.compile(R'''(?<!_)_(?!_)''')
lowerCAmelCase_	:    Optional[Any]            =      re.compile(R'''(_{2,})''')

lowerCAmelCase_	:    str            =      R"^\w+(\.\w+)*$"

lowerCAmelCase_	:    Union[str, Any]            =      R"<>:/\|?*"






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			_uppercase_uppercase_re.sub(r"""\1_\2"""	,      UpperCamelCase__		)
       UpperCAmelCase	    =			_lowercase_uppercase_re.sub(r"""\1_\2"""	,      UpperCamelCase__		)
       return name.lower()






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			_single_underscore_re.split(UpperCamelCase__		)
       UpperCAmelCase	    =			[_multiple_underscores_re.split(UpperCamelCase__		) for n in name]
       return "".join(n.capitalize() for n in itertools.chain.from_iterable(UpperCamelCase__		) if n != """"""		)






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''





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






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''





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






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			filename_prefix_for_split(UpperCamelCase__	,      UpperCamelCase__		)
       if filetype_suffix:
              prefix += F'''.{filetype_suffix}'''
       UpperCAmelCase	    =			os.path.join(UpperCamelCase__	,      UpperCamelCase__		)
       return F'''{filepath}*'''






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase=None	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			filename_prefix_for_split(UpperCamelCase__	,      UpperCamelCase__		)
       UpperCAmelCase	    =			os.path.join(UpperCamelCase__	,      UpperCamelCase__		)

       if shard_lengths:
              UpperCAmelCase	    =			len(UpperCamelCase__		)
              UpperCAmelCase	    =			[F'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(UpperCamelCase__		)]
              if filetype_suffix:
                     UpperCAmelCase	    =			[filename + F'''.{filetype_suffix}''' for filename in filenames]
              return filenames
       else:
              UpperCAmelCase	    =			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


lowerCAmelCase_	:    Tuple            =      logging.get_logger(__name__)

lowerCAmelCase_	:    List[str]            =      {
    '''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   UpperCamelCase_ (       a_  ):
  _A       :					Any				=	'big_bird'



  def __init__(      self ,		snake_case__=5_03_58 ,		snake_case__=7_68 ,		snake_case__=12 ,		snake_case__=12 ,		snake_case__=30_72 ,		snake_case__="gelu_new" ,		snake_case__=0.1 ,		snake_case__=0.1 ,		snake_case__=40_96 ,		snake_case__=2 ,		snake_case__=0.02 ,		snake_case__=1e-12 ,		snake_case__=True ,		snake_case__=0 ,		snake_case__=1 ,		snake_case__=2 ,		snake_case__=66 ,		snake_case__="block_sparse" ,		snake_case__=True ,		snake_case__=False ,		snake_case__=64 ,		snake_case__=3 ,		snake_case__=None ,		**snake_case__ ,		)			->			List[str]:



         """simple docstring"""





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

         UpperCAmelCase	    =			vocab_size
         UpperCAmelCase	    =			max_position_embeddings
         UpperCAmelCase	    =			hidden_size
         UpperCAmelCase	    =			num_hidden_layers
         UpperCAmelCase	    =			num_attention_heads
         UpperCAmelCase	    =			intermediate_size
         UpperCAmelCase	    =			hidden_act
         UpperCAmelCase	    =			hidden_dropout_prob
         UpperCAmelCase	    =			attention_probs_dropout_prob
         UpperCAmelCase	    =			initializer_range
         UpperCAmelCase	    =			type_vocab_size
         UpperCAmelCase	    =			layer_norm_eps
         UpperCAmelCase	    =			use_cache

         UpperCAmelCase	    =			rescale_embeddings
         UpperCAmelCase	    =			attention_type
         UpperCAmelCase	    =			use_bias
         UpperCAmelCase	    =			block_size
         UpperCAmelCase	    =			num_random_blocks
         UpperCAmelCase	    =			classifier_dropout





class   UpperCamelCase_ (       a_  ):



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



         """simple docstring"""





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