import gc
import unittest

from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
from diffusers.utils import is_flax_available, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
						import jax
						import jax.numpy as jnp
						from flax.jax_utils import replicate
						from flax.training.common_utils import shard



@slow
@require_flax
class __A     (      unittest.TestCase						):

							'''simple docstring'''

							def 	SCREAMING_SNAKE_CASE__			(				self ):
												# clean up the VRAM after each test
												super().tearDown()
												gc.collect()






							def 	SCREAMING_SNAKE_CASE__			(				self ):
												_lowerCAmelCase      ,	_lowerCAmelCase			:		Optional[Any]          = FlaxStableDiffusionPipeline.from_pretrained(
												    "stabilityai/stable-diffusion-2"   ,	revision="bf16"   ,	dtype=jnp.bfloataa   ,	)

												_lowerCAmelCase			:		Optional[Any]          = "A painting of a squirrel eating a burger"
												_lowerCAmelCase			:		int          = jax.device_count()
												_lowerCAmelCase			:		Optional[int]          = num_samples * [prompt]
												_lowerCAmelCase			:		Optional[Any]          = sd_pipe.prepare_inputs(lowercase_ )

												_lowerCAmelCase			:		Optional[Any]          = replicate(lowercase_ )
												_lowerCAmelCase			:		List[str]          = shard(lowercase_ )

												_lowerCAmelCase			:		Optional[int]          = jax.random.PRNGKey(0 )
												_lowerCAmelCase			:		List[str]          = jax.random.split(lowercase_   ,	jax.device_count() )

												_lowerCAmelCase			:		Union[str, Any]          = sd_pipe(lowercase_   ,	lowercase_   ,	lowercase_   ,	num_inference_steps=25   ,	jit=lowercase_ )[0]
												assert images.shape == (jax.device_count(), 1, 768, 768, 3)

												_lowerCAmelCase			:		List[Any]          = images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:] )
												_lowerCAmelCase			:		int          = images[0, 253:256, 253:256, -1]

												_lowerCAmelCase			:		Optional[int]          = jnp.asarray(jax.device_get(image_slice.flatten() ) )
												_lowerCAmelCase			:		str          = jnp.array([0.4238, 0.4414, 0.4395, 0.4453, 0.4629, 0.4590, 0.4531, 0.4_5508, 0.4512] )
												print(F"""output_slice: {output_slice}""" )
												assert jnp.abs(output_slice - expected_slice ).max() < 1E-2






							def 	SCREAMING_SNAKE_CASE__			(				self ):
												_lowerCAmelCase			:		Dict          = "stabilityai/stable-diffusion-2"
												_lowerCAmelCase      ,	_lowerCAmelCase			:		Dict          = FlaxDPMSolverMultistepScheduler.from_pretrained(lowercase_   ,	subfolder="scheduler" )
												_lowerCAmelCase      ,	_lowerCAmelCase			:		Optional[Any]          = FlaxStableDiffusionPipeline.from_pretrained(
												    lowercase_   ,	scheduler=lowercase_   ,	revision="bf16"   ,	dtype=jnp.bfloataa   ,	)
												_lowerCAmelCase			:		Tuple          = scheduler_params

												_lowerCAmelCase			:		Optional[Any]          = "A painting of a squirrel eating a burger"
												_lowerCAmelCase			:		List[str]          = jax.device_count()
												_lowerCAmelCase			:		int          = num_samples * [prompt]
												_lowerCAmelCase			:		Any          = sd_pipe.prepare_inputs(lowercase_ )

												_lowerCAmelCase			:		int          = replicate(lowercase_ )
												_lowerCAmelCase			:		Optional[int]          = shard(lowercase_ )

												_lowerCAmelCase			:		List[str]          = jax.random.PRNGKey(0 )
												_lowerCAmelCase			:		Any          = jax.random.split(lowercase_   ,	jax.device_count() )

												_lowerCAmelCase			:		str          = sd_pipe(lowercase_   ,	lowercase_   ,	lowercase_   ,	num_inference_steps=25   ,	jit=lowercase_ )[0]
												assert images.shape == (jax.device_count(), 1, 768, 768, 3)

												_lowerCAmelCase			:		List[str]          = images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:] )
												_lowerCAmelCase			:		Optional[Any]          = images[0, 253:256, 253:256, -1]

												_lowerCAmelCase			:		Optional[Any]          = jnp.asarray(jax.device_get(image_slice.flatten() ) )
												_lowerCAmelCase			:		Optional[Any]          = jnp.array([0.4336, 0.4_2969, 0.4453, 0.4199, 0.4297, 0.4531, 0.4434, 0.4434, 0.4297] )
												print(F"""output_slice: {output_slice}""" )
												assert jnp.abs(output_slice - expected_slice ).max() < 1E-2












'''simple docstring'''

import operator as op


def 						__magic_name__       (      __UpperCAmelCase      )						->   Dict:

					'''simple docstring'''

					snake_case_		     =							[]
					snake_case_		     =							lambda __UpperCAmelCase, __UpperCAmelCase      : int(x / y      )  # noqa: E731 integer division operation
					snake_case_		     =							{
					    '''^''': op.pow,
					    '''*''': op.mul,
					    '''/''': div,
					    '''+''': op.add,
					    '''-''': op.sub,
					}  # operators & their respective operation

					# print table header
					print('''Symbol'''.center(8      ), '''Action'''.center(12      ), '''Stack''', sep=''' | '''      )
					print('''-''' * (30 + len(__UpperCAmelCase      ))      )

					for x in post_fix:
										if x.isdigit():  # if x in digit
															stack.append(__UpperCAmelCase      )  # append x to stack
															# output in tabular format
															print(x.rjust(8      ), ('''push(''' + x + ''')''').ljust(12      ), ''','''.join(__UpperCAmelCase      ), sep=''' | '''      )
										else:
															snake_case_		     =							stack.pop()  # pop stack
															# output in tabular format
															print(''''''.rjust(8      ), ('''pop(''' + b + ''')''').ljust(12      ), ''','''.join(__UpperCAmelCase      ), sep=''' | '''      )

															snake_case_		     =							stack.pop()  # pop stack
															# output in tabular format
															print(''''''.rjust(8      ), ('''pop(''' + a + ''')''').ljust(12      ), ''','''.join(__UpperCAmelCase      ), sep=''' | '''      )

															stack.append(
															    str(opr[x](int(__UpperCAmelCase      ), int(__UpperCAmelCase      )      )      )      )  # evaluate the 2 values popped from stack & push result to stack
															# output in tabular format
															print(
															    x.rjust(8      ), ('''push(''' + a + x + b + ''')''').ljust(12      ), ''','''.join(__UpperCAmelCase      ), sep=''' | ''', )

					return int(stack[0]      )


if __name__ == "__main__":
							a    :							Any										=    input('\n\nEnter a Postfix Equation (space separated) = ').split(' ')
							print('\n\tResult = ', solve(Postfix))

