
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


_a   :      Optional[Any]       =				logging.get_logger(__name__)

_a   :      Dict       =				{
    """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					(       _snake_case):
    __lowercase				:			Tuple	=       """electra"""
    def __init__(     self    ,     snake_case_=3_05_22    ,     snake_case_=1_28    ,     snake_case_=2_56    ,     snake_case_=12    ,     snake_case_=4    ,     snake_case_=10_24    ,     snake_case_="gelu"    ,     snake_case_=0.1    ,     snake_case_=0.1    ,     snake_case_=5_12    ,     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_    ,     ):
      super().__init__(pad_token_id=snake_case_    ,     **snake_case_  )

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

      _snake_case  :    Any            = summary_type
      _snake_case  :    Optional[Any]            = summary_use_proj
      _snake_case  :    List[Any]            = summary_activation
      _snake_case  :    List[str]            = summary_last_dropout
      _snake_case  :    Any            = position_embedding_type
      _snake_case  :    str            = use_cache
      _snake_case  :    Any            = classifier_dropout






class   _UpperCAmelCase					(       _snake_case):
    @property
    def        lowerCamelCase__						(     self  ):
      if self.task == "multiple-choice":
        _snake_case  :    Tuple            = {0: "batch", 1: "choice", 2: "sequence"}
      else:
        _snake_case  :    Tuple            = {0: "batch", 1: "sequence"}
      return OrderedDict(
          [
              ("input_ids", dynamic_axis),
              ("attention_mask", dynamic_axis),
              ("token_type_ids", dynamic_axis),
          ]  )






"""simple docstring"""






import math


def 							A__ (     UpperCamelCase__    ):


  '''simple docstring'''


  if not isinstance(UpperCamelCase__       ,							UpperCamelCase__    ):
    _SCREAMING_SNAKE_CASE        =			F'''Input value of [number={number}] must be an integer'''
    raise TypeError(UpperCamelCase__    )
  if number < 1:
    _SCREAMING_SNAKE_CASE        =			F'''Input value of [number={number}] must be a positive integer'''
    raise ValueError(UpperCamelCase__    )
  _SCREAMING_SNAKE_CASE        =			[number]
  while number != 1:
    if number % 2 == 0:
      _SCREAMING_SNAKE_CASE        =			math.floor(math.sqrt(UpperCamelCase__    )    )
    else:
      _SCREAMING_SNAKE_CASE        =			math.floor(
          math.sqrt(UpperCamelCase__    ) * math.sqrt(UpperCamelCase__    ) * math.sqrt(UpperCamelCase__    )    )
    sequence.append(UpperCamelCase__    )
  return sequence


if __name__ == "__main__":
    import doctest

    doctest.testmod()
