

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__     :					Optional[Any]								=			logging.get_logger(__name__)

UpperCamelCase__     :					Optional[Any]								=			{
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}



class 					__snake_case     (			lowerCAmelCase__				):
  __lowerCAmelCase   :		str         =     'qdqbert'

  def __init__(    self  ,						_A=30522  ,						_A=768  ,						_A=12  ,						_A=12  ,						_A=3072  ,						_A="gelu"  ,						_A=0.1  ,						_A=0.1  ,						_A=512  ,						_A=2  ,						_A=0.0_2  ,						_A=1E-12  ,						_A=True  ,						_A=1  ,						_A=0  ,						_A=2  ,						**_A  ,						):
      super().__init__(pad_token_id=_A  ,						bos_token_id=_A  ,						eos_token_id=_A  ,						**_A)

      SCREAMING_SNAKE_CASE_													=  vocab_size
      SCREAMING_SNAKE_CASE_													=  max_position_embeddings
      SCREAMING_SNAKE_CASE_													=  hidden_size
      SCREAMING_SNAKE_CASE_													=  num_hidden_layers
      SCREAMING_SNAKE_CASE_													=  num_attention_heads
      SCREAMING_SNAKE_CASE_													=  intermediate_size
      SCREAMING_SNAKE_CASE_													=  hidden_act
      SCREAMING_SNAKE_CASE_													=  hidden_dropout_prob
      SCREAMING_SNAKE_CASE_													=  attention_probs_dropout_prob
      SCREAMING_SNAKE_CASE_													=  initializer_range
      SCREAMING_SNAKE_CASE_													=  type_vocab_size
      SCREAMING_SNAKE_CASE_													=  layer_norm_eps
      SCREAMING_SNAKE_CASE_													=  use_cache





from itertools import permutations


def     _UpperCAmelCase				(     ):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_													=  list(map(''.join       ,      permutations('0123456789'				)				)				)
    return result[999_999]


if __name__ == "__main__":
       print(solution())


