




'''simple docstring'''



from random import randint, random




def   lowercase__(			__UpperCamelCase:					int      ,__UpperCamelCase:					int      ,__UpperCamelCase:					int      ,__UpperCamelCase:					bool = False      ,__UpperCamelCase:					bool = False      ,__UpperCamelCase:					int = 5      ,):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						[[-1] * number_of_cells]  # Create a highway without any car
      SCREAMING_SNAKE_CASE   :      int    					=						0
      SCREAMING_SNAKE_CASE   :      Dict    					=						max(__UpperCamelCase      ,0    )
      while i < number_of_cells:
            SCREAMING_SNAKE_CASE   :      int    					=						(
                randint(0      ,__UpperCamelCase    ) if random_speed else initial_speed
            )  # Place the cars
            i += (
                randint(1      ,max_speed * 2    ) if random_frequency else frequency
            )  # Arbitrary number, may need tuning
      return highway




def   lowercase__(			__UpperCamelCase:					list      ,__UpperCamelCase:					int    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Any    					=						0
      SCREAMING_SNAKE_CASE   :      List[Any]    					=						highway_now[car_index + 1 :]
      for cell in range(len(__UpperCamelCase    )    ):  # May need a better name for this
            if cells[cell] != -1:  # If the cell is not empty then
                  return distance  # we have the distance we wanted
            distance += 1
      # Here if the car is near the end of the highway
      return distance + get_distance(__UpperCamelCase      ,-1    )




def   lowercase__(			__UpperCamelCase:					list      ,__UpperCamelCase:					float      ,__UpperCamelCase:					int    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      int    					=						len(__UpperCamelCase    )
      # Beforce calculations, the highway is empty
      SCREAMING_SNAKE_CASE   :      int    					=						[-1] * number_of_cells

      for car_index in range(__UpperCamelCase    ):
            if highway_now[car_index] != -1:
                  # Add 1 to the current speed of the car and cap the speed
                  SCREAMING_SNAKE_CASE   :      List[Any]    					=						min(highway_now[car_index] + 1      ,__UpperCamelCase    )
                  # Number of empty cell before the next car
                  SCREAMING_SNAKE_CASE   :      Dict    					=						get_distance(__UpperCamelCase      ,__UpperCamelCase    ) - 1
                  # We can't have the car causing an accident
                  SCREAMING_SNAKE_CASE   :      Dict    					=						min(next_highway[car_index]      ,__UpperCamelCase    )
                  if random() < probability:
                        # Randomly, a driver will slow down
                        SCREAMING_SNAKE_CASE   :      List[str]    					=						max(next_highway[car_index] - 1      ,0    )
      return next_highway




def   lowercase__(			__UpperCamelCase:					list      ,__UpperCamelCase:					int      ,__UpperCamelCase:					float      ,__UpperCamelCase:					int    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      List[Any]    					=						len(highway[0]    )

      for i in range(__UpperCamelCase    ):
            SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						update(highway[i]      ,__UpperCamelCase      ,__UpperCamelCase    )
            SCREAMING_SNAKE_CASE   :      Tuple    					=						[-1] * number_of_cells

            for car_index in range(__UpperCamelCase    ):
                  SCREAMING_SNAKE_CASE   :      int    					=						next_speeds_calculated[car_index]
                  if speed != -1:
                        # Change the position based on the speed (with % to create the loop)
                        SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						(car_index + speed) % number_of_cells
                        # Commit the change of position
                        SCREAMING_SNAKE_CASE   :      List[Any]    					=						speed
            highway.append(__UpperCamelCase    )

      return highway


if __name__ == "__main__":
      import doctest

      doctest.testmod()










import warnings

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


_SCREAMING_SNAKE_CASE   =  logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   =  {
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}






class 					SCREAMING_SNAKE_CASE_  (       _a ):
       """simple docstring"""


       __lowerCAmelCase    :		List[str]					='''mvp'''
       __lowerCAmelCase    :		List[Any]					=['''past_key_values''']
       __lowerCAmelCase    :		Optional[Any]					={'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}





       def __init__(				self	:Any,      snake_case	:Any=5_0267,      snake_case	:List[str]=1024,      snake_case	:List[str]=12,      snake_case	:List[Any]=4096,      snake_case	:List[Any]=16,      snake_case	:Optional[int]=12,      snake_case	:Optional[int]=4096,      snake_case	:List[str]=16,      snake_case	:Optional[Any]=0.0,      snake_case	:Tuple=0.0,      snake_case	:str="gelu",      snake_case	:int=1024,      snake_case	:Any=0.1,      snake_case	:Dict=0.0,      snake_case	:Optional[Any]=0.0,      snake_case	:int=0.0_2,      snake_case	:Union[str, Any]=0.0,      snake_case	:Tuple=False,      snake_case	:Optional[int]=True,      snake_case	:Any=1,      snake_case	:Union[str, Any]=0,      snake_case	:Optional[Any]=2,      snake_case	:Union[str, Any]=True,      snake_case	:Tuple=2,      snake_case	:Any=2,      snake_case	:List[Any]=False,      snake_case	:Optional[int]=100,      snake_case	:Union[str, Any]=800,      **snake_case	:Tuple,      ):



          """simple docstring"""

          _lowercase              =vocab_size
          _lowercase              =max_position_embeddings
          _lowercase              =d_model
          _lowercase              =encoder_ffn_dim
          _lowercase              =encoder_layers
          _lowercase              =encoder_attention_heads
          _lowercase              =decoder_ffn_dim
          _lowercase              =decoder_layers
          _lowercase              =decoder_attention_heads
          _lowercase              =dropout
          _lowercase              =attention_dropout
          _lowercase              =activation_dropout
          _lowercase              =activation_function
          _lowercase              =init_std
          _lowercase              =encoder_layerdrop
          _lowercase              =decoder_layerdrop
          _lowercase              =classifier_dropout
          _lowercase              =use_cache
          _lowercase              =encoder_layers
          _lowercase              =scale_embedding  # scale factor will be sqrt(d_model) if True
          _lowercase              =use_prompt
          _lowercase              =prompt_length
          _lowercase              =prompt_mid_dim

          super().__init__(
              pad_token_id=snake_case,      bos_token_id=snake_case,      eos_token_id=snake_case,      is_encoder_decoder=snake_case,      decoder_start_token_id=snake_case,      forced_eos_token_id=snake_case,      **snake_case,      )

          if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated',      snake_case):
             _lowercase              =self.bos_token_id
             warnings.warn(
                 f'''Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '''
                 'The config can simply be saved and uploaded again to be fixed.')


