






"""simple docstring"""




class 			_UpperCAmelCase  :



      '''simple docstring'''

      def __init__(					self  ):

        """simple docstring"""

        A_  :	Dict    						=  {}
        # indexmap keys are an index and it's values are the number at that index
        A_  :	Dict    						=  {}

      def  lowerCamelCase_      (					self ,				snake_case_ ,				snake_case_  ):

        """simple docstring"""

        if isinstance(SCREAMING_SNAKE_CASE_ ,				(range, str)  ):
          A_  :	List[str]    						=  list(SCREAMING_SNAKE_CASE_  )
        elif not isinstance(SCREAMING_SNAKE_CASE_ ,				SCREAMING_SNAKE_CASE_  ):
          raise TypeError(
              'binary_search_delete() only accepts either a list, range or str'  )

        A_  :	List[Any]    						=  0
        A_  :	Dict    						=  len(SCREAMING_SNAKE_CASE_  ) - 1

        while low <= high:
          A_  :	int    						=  (low + high) // 2
          if array[mid] == item:
            array.pop(SCREAMING_SNAKE_CASE_  )
            return array
          elif array[mid] < item:
            A_  :	int    						=  mid + 1
          else:
            A_  :	Dict    						=  mid - 1
        raise ValueError(
            'Either the item is not in the array or the array was unsorted'  )

      def  lowerCamelCase_      (					self ,				snake_case_ ,				snake_case_  ):

        """simple docstring"""

        if isinstance(SCREAMING_SNAKE_CASE_ ,				(range, str)  ):
          A_  :	int    						=  list(SCREAMING_SNAKE_CASE_  )
        elif not isinstance(SCREAMING_SNAKE_CASE_ ,				SCREAMING_SNAKE_CASE_  ):
          raise TypeError(
              'binary_search_insert() only accepts either a list, range or str'  )

        A_  :	Any    						=  0
        A_  :	Any    						=  len(SCREAMING_SNAKE_CASE_  ) - 1

        while low <= high:
          A_  :	Union[str, Any]    						=  (low + high) // 2
          if array[mid] == index:
            # If the item already exists in the array,
            # insert it after the existing item
            array.insert(mid + 1 ,				SCREAMING_SNAKE_CASE_  )
            return array
          elif array[mid] < index:
            A_  :	Optional[Any]    						=  mid + 1
          else:
            A_  :	Optional[Any]    						=  mid - 1

        # If the item doesn't exist in the array, insert it at the appropriate position
        array.insert(SCREAMING_SNAKE_CASE_ ,				SCREAMING_SNAKE_CASE_  )
        return array

      def  lowerCamelCase_      (					self ,				snake_case_ ,				snake_case_  ):

        """simple docstring"""

        if index in self.indexmap:
          A_  :	int    						=  self.indexmap[index]
          if len(self.numbermap[n]  ) == 1:
            del self.numbermap[n]
          else:
            A_  :	str    						=  self.binary_search_delete(self.numbermap[n] ,				SCREAMING_SNAKE_CASE_  )

        # Set new index
        A_  :	int    						=  number

        # Number not seen before or empty so insert number value
        if number not in self.numbermap:
          A_  :	Any    						=  [index]

        # Here we need to perform a binary search insertion in order to insert
        # The item in the correct place
        else:
          A_  :	Dict    						=  self.binary_search_insert(
              self.numbermap[number] ,				SCREAMING_SNAKE_CASE_  )

      def  lowerCamelCase_      (					self ,				snake_case_  ):

        """simple docstring"""

        return self.numbermap.get(SCREAMING_SNAKE_CASE_ ,				[-1]  )[0]


if __name__ == "__main__":
   import doctest

   doctest.testmod()






"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase_					:						List[str]      = logging.get_logger(__name__)

lowerCamelCase_					:						Optional[int]      = {
    'google/electra-small-generator': 'https://huggingface.co/google/electra-small-generator/resolve/main/config.json',
    'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/config.json',
    'google/electra-large-generator': 'https://huggingface.co/google/electra-large-generator/resolve/main/config.json',
    'google/electra-small-discriminator': (
        'https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json'
    ),
    'google/electra-base-discriminator': (
        'https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json'
    ),
    'google/electra-large-discriminator': (
        'https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json'
    ),
}

class 			_UpperCAmelCase  (       UpperCAmelCase__		):



      '''simple docstring'''
      lowercase_				:			Tuple        =       """electra"""

      def __init__(					self ,				snake_case_=3_0_5_2_2 ,				snake_case_=1_2_8 ,				snake_case_=2_5_6 ,				snake_case_=1_2 ,				snake_case_=4 ,				snake_case_=1_0_2_4 ,				snake_case_="gelu" ,				snake_case_=0.1 ,				snake_case_=0.1 ,				snake_case_=5_1_2 ,				snake_case_=2 ,				snake_case_=0.02 ,				snake_case_=1E-12 ,				snake_case_="first" ,				snake_case_=True ,				snake_case_="gelu" ,				snake_case_=0.1 ,				snake_case_=0 ,				snake_case_="absolute" ,				snake_case_=True ,				snake_case_=None ,				**snake_case_ ,				):

        """simple docstring"""

        super().__init__(pad_token_id=snake_case_ ,				**snake_case_  )

        A_  :	Optional[Any]    						=  vocab_size
        A_  :	Any    						=  embedding_size
        A_  :	Optional[int]    						=  hidden_size
        A_  :	Tuple    						=  num_hidden_layers
        A_  :	Tuple    						=  num_attention_heads
        A_  :	List[Any]    						=  intermediate_size
        A_  :	Any    						=  hidden_act
        A_  :	str    						=  hidden_dropout_prob
        A_  :	Any    						=  attention_probs_dropout_prob
        A_  :	str    						=  max_position_embeddings
        A_  :	Optional[Any]    						=  type_vocab_size
        A_  :	Dict    						=  initializer_range
        A_  :	Optional[int]    						=  layer_norm_eps

        A_  :	int    						=  summary_type
        A_  :	List[str]    						=  summary_use_proj
        A_  :	Optional[Any]    						=  summary_activation
        A_  :	Optional[Any]    						=  summary_last_dropout
        A_  :	List[Any]    						=  position_embedding_type
        A_  :	Union[str, Any]    						=  use_cache
        A_  :	Tuple    						=  classifier_dropout


class 			_UpperCAmelCase  (       UpperCAmelCase__		):



      '''simple docstring'''

      @property
      def  lowerCamelCase_      (					self  ):

        """simple docstring"""

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