from random import randint, random



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[int]				,  __UpperCamelCase					: Tuple				,  __UpperCamelCase					: Dict				,  __UpperCamelCase					: Union[str, Any] = False				,  __UpperCamelCase					: Optional[int] = False				,  __UpperCamelCase					: Any = 5				,  )							->      list:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   [[-1] * number_of_cells]  # Create a highway without any car
  SCREAMING_SNAKE_CASE__    							=   0
  SCREAMING_SNAKE_CASE__    							=   max(_A				,  0			)
  while i < number_of_cells:
    SCREAMING_SNAKE_CASE__    							=   (
        randint(0				,  _A			) 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 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Dict				,  __UpperCamelCase					: Tuple			)							->      int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   0
  SCREAMING_SNAKE_CASE__    							=   highway_now[car_index + 1 :]
  for cell in range(len(_A			)			):  # 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(_A				,  -1			)



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Dict				,  __UpperCamelCase					: List[Any]				,  __UpperCamelCase					: Optional[int]			)							->      list:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   len(_A			)
  # Beforce calculations, the highway is empty
  SCREAMING_SNAKE_CASE__    							=   [-1] * number_of_cells

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



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: List[str]				,  __UpperCamelCase					: str				,  __UpperCamelCase					: Any				,  __UpperCamelCase					: Union[str, Any]			)							->      list:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   len(highway[0]			)

  for i in range(_A			):
    SCREAMING_SNAKE_CASE__    							=   update(highway[i]				,  _A				,  _A			)
    SCREAMING_SNAKE_CASE__    							=   [-1] * number_of_cells

    for car_index in range(_A			):
      SCREAMING_SNAKE_CASE__    							=   next_speeds_calculated[car_index]
      if speed != -1:
        # Change the position based on the speed (with % to create the loop)
        SCREAMING_SNAKE_CASE__    							=   (car_index + speed) % number_of_cells
        # Commit the change of position
        SCREAMING_SNAKE_CASE__    							=   speed
    highway.append(_A			)

  return highway


if __name__ == "__main__":
   import doctest

   doctest.testmod()

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


__lowerCamelCase    :				List[Any]							     =	logging.get_logger(__name__)

__lowerCamelCase    :				str							     =	{
    '''facebook/timesformer''': '''https://huggingface.co/facebook/timesformer/resolve/main/config.json''',
}







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							"timesformer"




   def __init__(					self    :       Any ,			_lowercase    :       Tuple=2_24 ,			_lowercase    :       Tuple=16 ,			_lowercase    :       List[Any]=3 ,			_lowercase    :       str=8 ,			_lowercase    :       Optional[Any]=7_68 ,			_lowercase    :       List[str]=12 ,			_lowercase    :       List[str]=12 ,			_lowercase    :       Dict=30_72 ,			_lowercase    :       List[str]="gelu" ,			_lowercase    :       List[str]=0.0 ,			_lowercase    :       List[str]=0.0 ,			_lowercase    :       Tuple=0.02 ,			_lowercase    :       List[Any]=1E-6 ,			_lowercase    :       List[str]=True ,			_lowercase    :       Dict="divided_space_time" ,			_lowercase    :       Union[str, Any]=0 ,			**_lowercase    :       Union[str, Any] ,			):



     """simple docstring"""






     super().__init__(**_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   image_size
     SCREAMING_SNAKE_CASE__    							=   patch_size
     SCREAMING_SNAKE_CASE__    							=   num_channels
     SCREAMING_SNAKE_CASE__    							=   num_frames

     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__    							=   layer_norm_eps
     SCREAMING_SNAKE_CASE__    							=   qkv_bias

     SCREAMING_SNAKE_CASE__    							=   attention_type
     SCREAMING_SNAKE_CASE__    							=   drop_path_rate
