






'''simple docstring'''


from random import randint, random






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ,	lowercase__ = False       ,	lowercase__ = False       ,	lowercase__ = 5       ,	):


     '''simple docstring'''







     a_       		=[[-1] * number_of_cells]  # Create a highway without any car
     a_       		=0
     a_       		=max(lowercase__       ,	0       )
     while i < number_of_cells:
          a_       		=(
              randint(0       ,	lowercase__       ) 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_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







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






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ):


     '''simple docstring'''







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

     for car_index in range(lowercase__       ):
          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       ,	lowercase__       )
               # Number of empty cell before the next car
               a_       		=get_distance(lowercase__       ,	lowercase__       ) - 1
               # We can't have the car causing an accident
               a_       		=min(next_highway[car_index]       ,	lowercase__       )
               if random() < probability:
                    # Randomly, a driver will slow down
                    a_       		=max(next_highway[car_index] - 1       ,	0       )
     return next_highway






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=len(highway[0]       )

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

          for car_index in range(lowercase__       ):
               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(lowercase__       )

     return highway


if __name__ == "__main__":
  import doctest

  doctest.testmod()







'''simple docstring'''


import torch

from diffusers import StableDiffusionPipeline


lowercase							       =			'''path-to-your-trained-model'''
lowercase							       =			StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to('''cuda''')

lowercase							       =			'''A photo of sks dog in a bucket'''
lowercase							       =			pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]

image.save('''dog-bucket.png''')


