

"""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_					:	Tuple							  =						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_					:	List[str]							  =						{
    '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 					a						(       lowercase__				):



    """simple docstring"""



    UpperCAmelCase						 =					"""roformer"""

    def __init__(     self: Optional[int]    ,						UpperCamelCase: Union[str, Any]=5_00_00    ,						UpperCamelCase: Tuple=None    ,						UpperCamelCase: Union[str, Any]=7_68    ,						UpperCamelCase: Union[str, Any]=12    ,						UpperCamelCase: Any=12    ,						UpperCamelCase: int=30_72    ,						UpperCamelCase: Tuple="gelu"    ,						UpperCamelCase: Optional[int]=0.1    ,						UpperCamelCase: List[Any]=0.1    ,						UpperCamelCase: Union[str, Any]=15_36    ,						UpperCamelCase: List[Any]=2    ,						UpperCamelCase: Optional[int]=0.02    ,						UpperCamelCase: List[Any]=1e-1_2    ,						UpperCamelCase: int=0    ,						UpperCamelCase: List[Any]=False    ,						UpperCamelCase: Any=True    ,						**UpperCamelCase: Dict    ,						):






         """simple docstring"""


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

         A__										=  vocab_size
         A__										=  hidden_size if embedding_size is None else embedding_size
         A__										=  hidden_size
         A__										=  num_hidden_layers
         A__										=  num_attention_heads
         A__										=  hidden_act
         A__										=  intermediate_size
         A__										=  hidden_dropout_prob
         A__										=  attention_probs_dropout_prob
         A__										=  max_position_embeddings
         A__										=  type_vocab_size
         A__										=  initializer_range
         A__										=  layer_norm_eps
         A__										=  rotary_value
         A__										=  use_cache



class 					a						(       lowercase__				):



    """simple docstring"""



    @property
    def 				UpperCamelCase	(     self: Dict       ):






         """simple docstring"""


         if self.task == "multiple-choice":
              A__										=  {0: """batch""", 1: """choice""", 2: """sequence"""}
         else:
              A__										=  {0: """batch""", 1: """sequence"""}
         A__										=  {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_videomae import VideoMAEImageProcessor


SCREAMING_SNAKE_CASE_					:	List[Any]							  =						logging.get_logger(__name__)



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    def __init__(     self: Tuple    ,						*UpperCamelCase: Optional[int]    ,						**UpperCamelCase: Tuple       ):






         """simple docstring"""


         warnings.warn(
             """The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
             """ Please use VideoMAEImageProcessor instead."""    ,						UpperCamelCase    ,						)
         super().__init__(*UpperCamelCase    ,						**UpperCamelCase       )






