
from random import randint, random


def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__ = False			,		UpperCamelCase__ = False			,		UpperCamelCase__ = 5			,		):
      UpperCamelCase__     : int											=					[[-1] * number_of_cells]  # Create a highway without any car
      UpperCamelCase__     : Union[str, Any]											=					0
      UpperCamelCase__     : Dict											=					max(UpperCamelCase__			,		0		)
      while i < number_of_cells:
            UpperCamelCase__     : Dict											=					(
                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 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__		):
      UpperCamelCase__     : List[str]											=					0
      UpperCamelCase__     : Optional[int]											=					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 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__		):
      UpperCamelCase__     : Tuple											=					len(UpperCamelCase__		)
      # Beforce calculations, the highway is empty
      UpperCamelCase__     : Optional[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
                  UpperCamelCase__     : Union[str, Any]											=					min(highway_now[car_index] + 1			,		UpperCamelCase__		)
                  # Number of empty cell before the next car
                  UpperCamelCase__     : Tuple											=					get_distance(UpperCamelCase__			,		UpperCamelCase__		) - 1
                  # We can't have the car causing an accident
                  UpperCamelCase__     : List[str]											=					min(next_highway[car_index]			,		UpperCamelCase__		)
                  if random() < probability:
                        # Randomly, a driver will slow down
                        UpperCamelCase__     : Optional[int]											=					max(next_highway[car_index] - 1			,		0		)
      return next_highway


def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__		):
      UpperCamelCase__     : Tuple											=					len(highway[0]		)

      for i in range(UpperCamelCase__		):
            UpperCamelCase__     : Optional[int]											=					update(highway[i]			,		UpperCamelCase__			,		UpperCamelCase__		)
            UpperCamelCase__     : Any											=					[-1] * number_of_cells

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

      return highway


if __name__ == "__main__":
    import doctest

    doctest.testmod()




# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    "pipelines_utils",
    "0.22.0",
    "Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.",
    standard_warn=False,
    stacklevel=3,
)


