


"""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__					={
    "facebook/data2vec-text-base": "https://huggingface.co/data2vec/resolve/main/config.json",
}





class  lowerCamelCase__    (		_a     ):
      a			:  Dict           =		"""data2vec-text"""
      def __init__(		self						:						List[Any]   ,							A_						:						Dict=3_0_5_2_2   ,							A_						:						List[Any]=7_6_8   ,							A_						:						Union[str, Any]=1_2   ,							A_						:						str=1_2   ,							A_						:						int=3_0_7_2   ,							A_						:						Optional[int]="gelu"   ,							A_						:						Tuple=0.1   ,							A_						:						Dict=0.1   ,							A_						:						Union[str, Any]=5_1_2   ,							A_						:						List[Any]=2   ,							A_						:						Optional[Any]=0.02   ,							A_						:						int=1e-1_2   ,							A_						:						Union[str, Any]=1   ,							A_						:						Tuple=0   ,							A_						:						Any=2   ,							A_						:						Optional[Any]="absolute"   ,							A_						:						List[str]=True   ,							A_						:						Optional[Any]=None   ,							**A_						:						Optional[Any]   ,							):






       '''simple docstring'''


       super().__init__(pad_token_id=A_   ,							bos_token_id=A_   ,							eos_token_id=A_   ,							**A_				)

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






class  lowerCamelCase__    (		_a     ):
      @property
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[Any]				):






       '''simple docstring'''


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




"""simple docstring"""

def lowerCAmelCase_   (					UpperCamelCase__						:			int			):






 """simple docstring"""







 assert (
     isinstance(UpperCamelCase__					, UpperCamelCase__			) and number_of_steps > 0
 ), f'''number_of_steps needs to be positive integer, your input {number_of_steps}'''
 if number_of_steps == 1:
  return 1
 __lowercase				,		__lowercase						=						1, 1
 for _ in range(number_of_steps - 1			):
  __lowercase				,		__lowercase						=						current + previous, current
 return current


if __name__ == "__main__":
       import doctest

       doctest.testmod()
