





'''simple docstring'''

from random import randint, random





def 						UpperCamelCase    (							_lowerCamelCase : int						,	_lowerCamelCase : int						,	_lowerCamelCase : int						,	_lowerCamelCase : bool = False						,	_lowerCamelCase : bool = False						,	_lowerCamelCase : int = 5						,	):
    A__    =      [[-1] * number_of_cells]  # Create a highway without any car
    A__    =      0
    A__    =      max(_lowerCamelCase						,	0	)
    while i < number_of_cells:
        A__    =      (
            randint(0						,	_lowerCamelCase	) 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 						UpperCamelCase    (							_lowerCamelCase : list						,	_lowerCamelCase : int	):
    A__    =      0
    A__    =      highway_now[car_index + 1 :]
    for cell in range(len(_lowerCamelCase	)	):  # 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(_lowerCamelCase						,	-1	)





def 						UpperCamelCase    (							_lowerCamelCase : list						,	_lowerCamelCase : float						,	_lowerCamelCase : int	):
    A__    =      len(_lowerCamelCase	)
    # Beforce calculations, the highway is empty
    A__    =      [-1] * number_of_cells

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





def 						UpperCamelCase    (							_lowerCamelCase : list						,	_lowerCamelCase : int						,	_lowerCamelCase : float						,	_lowerCamelCase : int	):
    A__    =      len(highway[0]	)

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

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

    return highway


if __name__ == "__main__":
  import doctest

  doctest.testmod()










'''simple docstring'''

from .imports import is_tqdm_available


if is_tqdm_available():
  from tqdm.auto import tqdm as _tqdm

from ..state import PartialState





def 						UpperCamelCase    (							_lowerCamelCase : bool = True						,	*_lowerCamelCase : Optional[int]						,	**_lowerCamelCase : Optional[Any]	):
    if not is_tqdm_available():
        raise ImportError("Accelerate's `tqdm` module requires `tqdm` to be installed. Please run `pip install tqdm`."	)
    A__    =      False
    if main_process_only:
        A__    =      PartialState().local_process_index == 0
    return _tqdm(*_lowerCamelCase						,	**_lowerCamelCase						,	disable=_lowerCamelCase	)



