
from collections import OrderedDict
from typing import Mapping

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


lowercase__       =logging.get_logger(__name__)

lowercase__       ={
    '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__  (       __lowercase    ):
   _SCREAMING_SNAKE_CASE      :							List[Any]	       =      "roformer"
   def __init__(self :					Optional[Any]					,				snake_case_ :					Optional[int]=5_0_0_0_0					,				snake_case_ :					Tuple=None					,				snake_case_ :					Optional[int]=7_6_8					,				snake_case_ :					Tuple=1_2					,				snake_case_ :					Any=1_2					,				snake_case_ :					str=3_0_7_2					,				snake_case_ :					Any="gelu"					,				snake_case_ :					Tuple=0.1					,				snake_case_ :					Dict=0.1					,				snake_case_ :					List[Any]=1_5_3_6					,				snake_case_ :					int=2					,				snake_case_ :					Any=0.02					,				snake_case_ :					Dict=1E-12					,				snake_case_ :					Optional[int]=0					,				snake_case_ :					List[Any]=False					,				snake_case_ :					str=True					,				**snake_case_ :					Optional[Any]					,				):
    super().__init__(pad_token_id=snake_case_					,				**snake_case_   )

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





class 		UpperCamelCase__  (       __lowercase    ):
   @property
   def       lowerCAmelCase			(self :					Tuple   ):
    if self.task == "multiple-choice":
     __a :  Optional[int]						=  {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
    else:
     __a :  List[str]						=  {0: '''batch''', 1: '''sequence'''}
    __a :  Dict						=  {0: '''batch''', 1: '''sequence'''}
    return OrderedDict(
        [
            ('''input_ids''', dynamic_axis),
            ('''attention_mask''', dynamic_axis),
            ('''token_type_ids''', dynamic_axis),
        ]   )


from __future__ import annotations




def    __UpperCamelCase     (				lowerCAmelCase__							:				list[float]  ,   lowerCAmelCase__							:				list[float]  ):
 __a :  Dict						=  sorted(numsa + numsa  )
 __a				,       __a :  Optional[Any]						=  divmod(len(lowerCAmelCase__  )  ,   2  )
 if mod == 1:
  return all_numbers[div]
 else:
  return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      lowercase__       =[float(x) for x in input('Enter the elements of first array: ').split()]
      lowercase__       =[float(x) for x in input('Enter the elements of second array: ').split()]
      print(F"""The median of two arrays is: {median_of_two_arrays(array_a, array_a)}""")
