




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			):

						def     A__						(		self   :Union[str, Any] ):
										'''simple docstring'''

										super().tearDown()
										gc.collect()

						def     A__						(		self   :Dict ):
										'''simple docstring'''

										__magic_name__				, __magic_name__	:	Dict								=FlaxStableDiffusionPipeline.from_pretrained(
										    """stabilityai/stable-diffusion-2"""    , revision="""bf16"""    , dtype=jnp.bfloataa    , )

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

										__magic_name__	:	Optional[int]								=replicate(__snake_case )
										__magic_name__	:	List[Any]								=shard(__snake_case )

										__magic_name__	:	List[str]								=jax.random.PRNGKey(0 )
										__magic_name__	:	List[str]								=jax.random.split(__snake_case    , jax.device_count() )

										__magic_name__	:	str								=sd_pipe(__snake_case    , __snake_case    , __snake_case    , num_inference_steps=25    , jit=__snake_case )[0]
										assert images.shape == (jax.device_count(), 1, 7_68, 7_68, 3)

										__magic_name__	:	Optional[Any]								=images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:] )
										__magic_name__	:	List[str]								=images[0, 2_53:2_56, 2_53:2_56, -1]

										__magic_name__	:	List[str]								=jnp.asarray(jax.device_get(image_slice.flatten() ) )
										__magic_name__	:	Tuple								=jnp.array([0.4238, 0.4414, 0.4395, 0.4453, 0.4629, 0.4590, 0.4531, 0.45508, 0.4512] )
										print(f"output_slice: {output_slice}" )
										assert jnp.abs(output_slice - expected_slice ).max() < 1E-2


						def     A__						(		self   :List[Any] ):
										'''simple docstring'''

										__magic_name__	:	Union[str, Any]								="""stabilityai/stable-diffusion-2"""
										__magic_name__				, __magic_name__	:	List[str]								=FlaxDPMSolverMultistepScheduler.from_pretrained(__snake_case    , subfolder="""scheduler""" )
										__magic_name__				, __magic_name__	:	Optional[int]								=FlaxStableDiffusionPipeline.from_pretrained(
										    __snake_case    , scheduler=__snake_case    , revision="""bf16"""    , dtype=jnp.bfloataa    , )
										__magic_name__	:	List[str]								=scheduler_params

										__magic_name__	:	Optional[int]								="""A painting of a squirrel eating a burger"""
										__magic_name__	:	str								=jax.device_count()
										__magic_name__	:	Union[str, Any]								=num_samples * [prompt]
										__magic_name__	:	str								=sd_pipe.prepare_inputs(__snake_case )

										__magic_name__	:	Tuple								=replicate(__snake_case )
										__magic_name__	:	List[Any]								=shard(__snake_case )

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

										__magic_name__	:	Dict								=sd_pipe(__snake_case    , __snake_case    , __snake_case    , num_inference_steps=25    , jit=__snake_case )[0]
										assert images.shape == (jax.device_count(), 1, 7_68, 7_68, 3)

										__magic_name__	:	Tuple								=images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:] )
										__magic_name__	:	str								=images[0, 2_53:2_56, 2_53:2_56, -1]

										__magic_name__	:	Tuple								=jnp.asarray(jax.device_get(image_slice.flatten() ) )
										__magic_name__	:	Dict								=jnp.array([0.4336, 0.42969, 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










def 		lowerCAmelCase_   (	lowerCamelCase   ):
				__magic_name__	:	Optional[int]								=[]
				__magic_name__	:	int								=[]
				__magic_name__	:	str								={
				    """^""": 3,
				    """*""": 2,
				    """/""": 2,
				    """%""": 2,
				    """+""": 1,
				    """-""": 1,
				}  # Priority of each operator
				__magic_name__	:	Dict								=len(lowerCamelCase   ) if (len(lowerCamelCase   ) > 7) else 7

				# Print table header for output
				print(
				    """Symbol""".center(8   )	,     """Stack""".center(lowerCamelCase   )	,     """Postfix""".center(lowerCamelCase   )	,     sep=""" | """	,     )
				print("""-""" * (print_width * 3 + 7)   )

				for x in infix:
								if x.isalpha() or x.isdigit():
												post_fix.append(lowerCamelCase   )  # if x is Alphabet / Digit, add it to Postfix
								elif x == "(":
												stack.append(lowerCamelCase   )  # if x is "(" push to Stack
								elif x == ")":  # if x is ")" pop stack until "(" is encountered
												while stack[-1] != "(":
																post_fix.append(stack.pop()   )  # Pop stack & add the content to Postfix
												stack.pop()
								else:
												if len(lowerCamelCase   ) == 0:
																stack.append(lowerCamelCase   )  # If stack is empty, push x to stack
												else:  # while priority of x is not > priority of element in the stack
																while len(lowerCamelCase   ) > 0 and priority[x] <= priority[stack[-1]]:
																				post_fix.append(stack.pop()   )  # pop stack & add to Postfix
																stack.append(lowerCamelCase   )  # push x to stack

								print(
								    x.center(8   )	,     ("""""".join(lowerCamelCase   )).ljust(lowerCamelCase   )	,     ("""""".join(lowerCamelCase   )).ljust(lowerCamelCase   )	,     sep=""" | """	,     )  # Output in tabular format

				while len(lowerCamelCase   ) > 0:  # while stack is not empty
								post_fix.append(stack.pop()   )  # pop stack & add to Postfix
								print(
								    """ """.center(8   )	,     ("""""".join(lowerCamelCase   )).ljust(lowerCamelCase   )	,     ("""""".join(lowerCamelCase   )).ljust(lowerCamelCase   )	,     sep=""" | """	,     )  # Output in tabular format

				return "".join(lowerCamelCase   )  # return Postfix as str




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				__magic_name__	:	Union[str, Any]								=list(infix[::-1]   )  # reverse the infix equation

				for i in range(len(lowerCamelCase   )   ):
								if infix[i] == "(":
												__magic_name__	:	str								=""")"""  # change "(" to ")"
								elif infix[i] == ")":
												__magic_name__	:	int								="""("""  # change ")" to "("

				return (infix_2_postfix("""""".join(lowerCamelCase   )   ))[
				    ::-1
				]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
							UpperCAmelCase_		:				Tuple									=     input("\nEnter an Infix Equation = ")  # Input an Infix equation
							UpperCAmelCase_		:				Dict									=     "".join(Infix.split())  # Remove spaces from the input
							print("\n\t", Infix, "(Infix) -> ", infix_2_prefix(Infix), "(Prefix)")




