






"""simple docstring"""





from __future__ import annotations



def     __lowercase					(    a :				list[int] )					->					list[int]:  # This function is recursive
      __snake_case      :    str  			=len(a )
      # If the array contains only one element, we return it (it's the stop condition of
      # recursion)
      if array_length <= 1:
            return array
            # Else
      __snake_case      :    Dict  			=array[0]
      __snake_case      :    Dict  			=False
      __snake_case      :    List[str]  			=1
      __snake_case      :    list[int]  			=[]
      while not is_found and i < array_length:
            if array[i] < pivot:
                  __snake_case      :    Dict  			=True
                  __snake_case      :    Dict  			=[element for element in array[i:] if element >= array[i]]
                  __snake_case      :    Dict  			=longest_subsequence(a )
                  if len(a ) > len(a ):
                        __snake_case      :    Tuple  			=temp_array
            else:
                  i += 1

      __snake_case      :    Optional[Any]  			=[element for element in array[1:] if element >= pivot]
      __snake_case      :    Any  			=[pivot, *longest_subsequence(a )]
      if len(a ) > len(a ):
            return temp_array
      else:
            return longest_subseq


if __name__ == "__main__":
    import doctest

    doctest.testmod()










"""simple docstring"""





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


UpperCamelCase_	:				Optional[int]										= logging.get_logger(__name__)

UpperCamelCase_	:				Union[str, Any]										= {"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}


class      _lowercase (     lowerCAmelCase						):
      _a   :     str								=   '''ctrl'''
      _a   :     Optional[int]								=   ['''past_key_values''']
      _a   :     List[Any]								=   {
          '''max_position_embeddings''': '''n_positions''',
          '''hidden_size''': '''n_embd''',
          '''num_attention_heads''': '''n_head''',
          '''num_hidden_layers''': '''n_layer''',
      }


      def __init__(    self				:	str							,   a				:	Optional[int]=2_4_6_5_3_4							,   a				:	Optional[int]=2_5_6							,   a				:	Optional[int]=1_2_8_0							,   a				:	Any=8_1_9_2							,   a				:	int=4_8							,   a				:	Optional[Any]=1_6							,   a				:	str=0.1							,   a				:	str=0.1							,   a				:	Any=1e-6							,   a				:	Optional[int]=0.0_2							,   a				:	int=True							,   **a				:	str							,   ):





            """simple docstring"""







            __snake_case      :    Tuple  			=vocab_size
            __snake_case      :    Optional[Any]  			=n_positions
            __snake_case      :    List[Any]  			=n_embd
            __snake_case      :    Any  			=n_layer
            __snake_case      :    Any  			=n_head
            __snake_case      :    str  			=dff
            __snake_case      :    List[str]  			=resid_pdrop
            __snake_case      :    str  			=embd_pdrop
            __snake_case      :    Union[str, Any]  			=layer_norm_epsilon
            __snake_case      :    List[Any]  			=initializer_range

            __snake_case      :    Any  			=use_cache

            super().__init__(**a						)


