


from collections import OrderedDict
from typing import Mapping

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


a					:				Tuple       =      logging.get_logger(__name__)

a					:				Union[str, Any]       =      {
    """google/mobilebert-uncased""": """https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json"""
}

class   lowerCamelCase						(	__snake_case  ):
       _UpperCamelCase     		=   MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
       _UpperCamelCase     		=   """mobilebert"""

       def __init__(      self						,    a__=3_05_22						,    a__=5_12						,    a__=24						,    a__=4						,    a__=5_12						,    a__="relu"						,    a__=0.0						,    a__=0.1						,    a__=5_12						,    a__=2						,    a__=0.02						,    a__=1e-12						,    a__=0						,    a__=1_28						,    a__=True						,    a__=True						,    a__=1_28						,    a__=False						,    a__=True						,    a__=4						,    a__="no_norm"						,    a__=True						,    a__=None						,    **a__						,    ):






        '''simple docstring'''






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

        snake_case :			Tuple							=   vocab_size
        snake_case :			Optional[int]							=   hidden_size
        snake_case :			int							=   num_hidden_layers
        snake_case :			Optional[int]							=   num_attention_heads
        snake_case :			str							=   hidden_act
        snake_case :			Any							=   intermediate_size
        snake_case :			Dict							=   hidden_dropout_prob
        snake_case :			Tuple							=   attention_probs_dropout_prob
        snake_case :			Any							=   max_position_embeddings
        snake_case :			Optional[int]							=   type_vocab_size
        snake_case :			Any							=   initializer_range
        snake_case :			Union[str, Any]							=   layer_norm_eps
        snake_case :			Dict							=   embedding_size
        snake_case :			int							=   trigram_input
        snake_case :			Union[str, Any]							=   use_bottleneck
        snake_case :			Any							=   intra_bottleneck_size
        snake_case :			int							=   use_bottleneck_attention
        snake_case :			List[Any]							=   key_query_shared_bottleneck
        snake_case :			Optional[int]							=   num_feedforward_networks
        snake_case :			Optional[int]							=   normalization_type
        snake_case :			Optional[int]							=   classifier_activation

        if self.use_bottleneck:
         snake_case :			Optional[int]							=   intra_bottleneck_size
        else:
         snake_case :			str							=   hidden_size

        snake_case :			Union[str, Any]							=   classifier_dropout







class   lowerCamelCase						(	__snake_case  ):

       @property
       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






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







'''simple docstring'''

from __future__ import annotations

_lowerCamelCase :				Optional[int]														= """Alexander Joslin"""



def  _lowerCAmelCase				(				__a      )  ->      int:
     '''simple docstring'''







     if number <= 0:
          _UpperCamelCase  :Optional[Any]       =F'''n must be greater than 0. Got n = {number}'''
          raise ValueError(__a      )

     _UpperCamelCase  :Optional[Any]       =[number + 1] * (number + 1)

     # starting position
     _UpperCamelCase  :int       =0
     for i in range(1			,      __a      ):
          _UpperCamelCase  :List[str]       =min(table[i + 1]			,      table[i] + 1      )
          # check if out of bounds
          if i * 2 <= number:
               _UpperCamelCase  :int       =min(table[i * 2]			,      table[i] + 1      )
          # check if out of bounds
          if i * 3 <= number:
               _UpperCamelCase  :Tuple       =min(table[i * 3]			,      table[i] + 1      )
     return table[number]


if __name__ == "__main__":
      import doctest

      doctest.testmod()