
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


lowercase__       =logging.get_logger(__name__)

lowercase__       ={
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}



class 		UpperCamelCase__  (       _UpperCamelCase    ):
   _SCREAMING_SNAKE_CASE      :							Optional[Any]	       =      "beit"
   def __init__(self :					List[Any]					,				snake_case_ :					Tuple=8_1_9_2					,				snake_case_ :					Optional[int]=7_6_8					,				snake_case_ :					int=1_2					,				snake_case_ :					Optional[int]=1_2					,				snake_case_ :					Any=3_0_7_2					,				snake_case_ :					Optional[int]="gelu"					,				snake_case_ :					Any=0.0					,				snake_case_ :					Any=0.0					,				snake_case_ :					Any=0.02					,				snake_case_ :					int=1E-12					,				snake_case_ :					int=2_2_4					,				snake_case_ :					str=1_6					,				snake_case_ :					int=3					,				snake_case_ :					Dict=False					,				snake_case_ :					int=False					,				snake_case_ :					List[Any]=False					,				snake_case_ :					int=False					,				snake_case_ :					List[str]=0.1					,				snake_case_ :					Union[str, Any]=0.1					,				snake_case_ :					List[str]=True					,				snake_case_ :					List[Any]=[3, 5, 7, 1_1]					,				snake_case_ :					Optional[Any]=[1, 2, 3, 6]					,				snake_case_ :					Tuple=True					,				snake_case_ :					Dict=0.4					,				snake_case_ :					Tuple=2_5_6					,				snake_case_ :					Any=1					,				snake_case_ :					Any=False					,				snake_case_ :					Optional[int]=2_5_5					,				**snake_case_ :					Any					,				):
    super().__init__(**lowerCAmelCase_   )

    __a :  Optional[int]						=  vocab_size
    __a :  Union[str, Any]						=  hidden_size
    __a :  Optional[Any]						=  num_hidden_layers
    __a :  Tuple						=  num_attention_heads
    __a :  List[str]						=  intermediate_size
    __a :  Optional[Any]						=  hidden_act
    __a :  str						=  hidden_dropout_prob
    __a :  Optional[int]						=  attention_probs_dropout_prob
    __a :  Tuple						=  initializer_range
    __a :  List[str]						=  layer_norm_eps

    __a :  Optional[Any]						=  image_size
    __a :  Dict						=  patch_size
    __a :  Tuple						=  num_channels
    __a :  Union[str, Any]						=  use_mask_token
    __a :  int						=  use_absolute_position_embeddings
    __a :  str						=  use_relative_position_bias
    __a :  Union[str, Any]						=  use_shared_relative_position_bias
    __a :  str						=  layer_scale_init_value
    __a :  Dict						=  drop_path_rate
    __a :  Dict						=  use_mean_pooling
    # decode head attributes (semantic segmentation)
    __a :  List[str]						=  out_indices
    __a :  Tuple						=  pool_scales
    # auxiliary head attributes (semantic segmentation)
    __a :  Optional[int]						=  use_auxiliary_head
    __a :  Tuple						=  auxiliary_loss_weight
    __a :  str						=  auxiliary_channels
    __a :  Dict						=  auxiliary_num_convs
    __a :  List[Any]						=  auxiliary_concat_input
    __a :  Dict						=  semantic_loss_ignore_index





class 		UpperCamelCase__  (       _UpperCamelCase    ):
   _SCREAMING_SNAKE_CASE      :							int	       =      version.parse("1.11"    )
   @property
   def       lowerCAmelCase			(self :					Tuple   ):
    return OrderedDict(
        [
            ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
        ]   )







   @property
   def       lowerCAmelCase			(self :					Optional[Any]   ):
    return 1E-4







def   a_    ( lowerCAmelCase_      :			int	):

   if p < 2:
      raise ValueError('p should not be less than 2!'	)
   elif p == 2:
      return True

   __lowerCAmelCase								=	4
   __lowerCAmelCase								=	(1 << p) - 1
   for _ in range(p - 2	):
      __lowerCAmelCase								=	((s * s) - 2) % m
   return s == 0


if __name__ == "__main__":
     print(lucas_lehmer_test(7))
     print(lucas_lehmer_test(11))

