'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE	:					Union[str, Any]					=  logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE	:					Any					=  {
    """google/mobilebert-uncased""": """https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json"""
}

class      lowerCamelCase_     (snake_case__   ):
      '''simple docstring'''

      __UpperCamelCase:  int      =						MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
      __UpperCamelCase:  int      =						"mobilebert"




      def __init__(	self						:    Dict						, A						:    Union[str, Any]=30522						, A						:    str=512						, A						:    int=24						, A						:    Dict=4						, A						:    List[Any]=512						, A						:    List[Any]="relu"						, A						:    str=0.0						, A						:    Optional[Any]=0.1						, A						:    str=512						, A						:    str=2						, A						:    Tuple=0.02						, A						:    Optional[int]=1E-12						, A						:    int=0						, A						:    Optional[Any]=128						, A						:    Optional[int]=True						, A						:    Optional[int]=True						, A						:    Optional[Any]=128						, A						:    Union[str, Any]=False						, A						:    List[str]=True						, A						:    Optional[int]=4						, A						:    int="no_norm"						, A						:    Union[str, Any]=True						, A						:    int=None						, **A						:    Optional[int]						, ):
             super().__init__(pad_token_id=A						, **A	)

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

             if self.use_bottleneck:
                    _UpperCAmelCase					:  int											=   intra_bottleneck_size
             else:
                    _UpperCAmelCase					:  Tuple											=   hidden_size

             _UpperCAmelCase					:  str											=   classifier_dropout

class      lowerCamelCase_     (snake_case__   ):
      '''simple docstring'''

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


'''simple docstring'''




import warnings

from .generation import FlaxGenerationMixin

class      lowerCamelCase_     (snake_case__   ):
      '''simple docstring'''

      warnings.warn(
          "Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will "
          "be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."							,			snake_case__							,			)

