



'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


__a          =		logging.get_logger(__name__)

__a          =		{
    "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json",
    "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json",
    "junnyu/roformer_chinese_char_small": (
        "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"
    ),
    "junnyu/roformer_chinese_char_base": (
        "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"
    ),
    "junnyu/roformer_small_discriminator": (
        "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"
    ),
    "junnyu/roformer_small_generator": (
        "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    lowercase					=		"roformer"




    def __init__(    self					:     List[Any] ,     snake_case_					:     Dict=50_000 ,     snake_case_					:     Dict=None ,     snake_case_					:     str=768 ,     snake_case_					:     List[Any]=12 ,     snake_case_					:     Optional[int]=12 ,     snake_case_					:     Any=3_072 ,     snake_case_					:     str="gelu" ,     snake_case_					:     Tuple=0.1 ,     snake_case_					:     List[str]=0.1 ,     snake_case_					:     Tuple=1_536 ,     snake_case_					:     Optional[Any]=2 ,     snake_case_					:     Dict=0.02 ,     snake_case_					:     Union[str, Any]=1E-1_2 ,     snake_case_					:     List[Any]=0 ,     snake_case_					:     Optional[Any]=False ,     snake_case_					:     List[Any]=True ,     **snake_case_					:     Dict ,     ):
          super().__init__(pad_token_id=snake_case_ ,     **snake_case_						)

          snake_case__  :    Dict    						=      vocab_size
          snake_case__  :    str    						=      hidden_size if embedding_size is None else embedding_size
          snake_case__  :    Any    						=      hidden_size
          snake_case__  :    List[Any]    						=      num_hidden_layers
          snake_case__  :    Any    						=      num_attention_heads
          snake_case__  :    str    						=      hidden_act
          snake_case__  :    List[Any]    						=      intermediate_size
          snake_case__  :    List[Any]    						=      hidden_dropout_prob
          snake_case__  :    Dict    						=      attention_probs_dropout_prob
          snake_case__  :    Tuple    						=      max_position_embeddings
          snake_case__  :    Optional[int]    						=      type_vocab_size
          snake_case__  :    Any    						=      initializer_range
          snake_case__  :    str    						=      layer_norm_eps
          snake_case__  :    Optional[Any]    						=      rotary_value
          snake_case__  :    Any    						=      use_cache







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







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





'''simple docstring'''





import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__a          =		logging.get_logger(__name__)







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    def __init__(    self					:     List[str] ,     *snake_case_					:     str ,     **snake_case_					:     List[str]						):
          warnings.warn(
              """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
              """ use BeitImageProcessor instead.""" ,     snake_case_ ,     )
          super().__init__(*snake_case_ ,     **snake_case_						)
