

'''simple docstring'''


from random import randint, random




def 	_a       (				__lowerCAmelCase		:      int   ,							__lowerCAmelCase		:      int   ,							__lowerCAmelCase		:      int   ,							__lowerCAmelCase		:      bool = False   ,							__lowerCAmelCase		:      bool = False   ,							__lowerCAmelCase		:      int = 5   ,							):

		"""simple docstring"""

		snake_case__						:       Optional[int]       						=  [[-1] * number_of_cells]  # Create a highway without any car
		snake_case__						:       int       						=  0
		snake_case__						:       int       						=  max(__lowerCAmelCase   ,							0     )
		while i < number_of_cells:
				snake_case__						:       Any       						=  (
				    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 	_a       (				__lowerCAmelCase		:      list   ,							__lowerCAmelCase		:      int     ):

		"""simple docstring"""

		snake_case__						:       List[str]       						=  0
		snake_case__						:       Optional[int]       						=  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 	_a       (				__lowerCAmelCase		:      list   ,							__lowerCAmelCase		:      float   ,							__lowerCAmelCase		:      int     ):

		"""simple docstring"""

		snake_case__						:       Any       						=  len(__lowerCAmelCase     )
		# Beforce calculations, the highway is empty
		snake_case__						:       Union[str, Any]       						=  [-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
						snake_case__						:       Dict       						=  min(highway_now[car_index] + 1   ,							__lowerCAmelCase     )
						# Number of empty cell before the next car
						snake_case__						:       Union[str, Any]       						=  get_distance(__lowerCAmelCase   ,							__lowerCAmelCase     ) - 1
						# We can't have the car causing an accident
						snake_case__						:       Tuple       						=  min(next_highway[car_index]   ,							__lowerCAmelCase     )
						if random() < probability:
								# Randomly, a driver will slow down
								snake_case__						:       int       						=  max(next_highway[car_index] - 1   ,							0     )
		return next_highway




def 	_a       (				__lowerCAmelCase		:      list   ,							__lowerCAmelCase		:      int   ,							__lowerCAmelCase		:      float   ,							__lowerCAmelCase		:      int     ):

		"""simple docstring"""

		snake_case__						:       int       						=  len(highway[0]     )

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

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

		return highway


if __name__ == "__main__":
					import doctest

					doctest.testmod()






'''simple docstring'''


import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
					import jax




@require_flax
class     a			(				SCREAMING_SNAKE_CASE			,			unittest.TestCase       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    FlaxAutoencoderKL







						@property
						def       __magic_name__							(							self					:      str  ):



								'''simple docstring'''



								snake_case__						:       Any       						=  4
								snake_case__						:       Optional[Any]       						=  3
								snake_case__						:       Optional[int]       						=  (3_2, 3_2)

								snake_case__						:       Optional[int]       						=  jax.random.PRNGKey(0  )
								snake_case__						:       Union[str, Any]       						=  jax.random.uniform(snake_case_			,			((batch_size, num_channels) + sizes)  )

								return {"sample": image, "prng_key": prng_key}







						def       __magic_name__							(							self					:      Union[str, Any]  ):



								'''simple docstring'''



								snake_case__						:       Any       						=  {
								    '''block_out_channels''': [3_2, 6_4],
								    '''in_channels''': 3,
								    '''out_channels''': 3,
								    '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
								    '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
								    '''latent_channels''': 4,
								}
								snake_case__						:       Dict       						=  self.dummy_input
								return init_dict, inputs_dict



