


"""simple docstring"""


import operator as op


def _lowerCamelCase			(	_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    []
			__lowerCAmelCase       					=    lambda _UpperCamelCase					,				_UpperCamelCase   : int(x / y   )  # noqa: E731 integer division operation
			__lowerCAmelCase       					=    {
			    "^": 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:
									__lowerCAmelCase       					=    stack.pop()  # pop stack
									# output in tabular format
									print("".rjust(8   )					,				("pop(" + b + ")").ljust(12   )					,				",".join(_UpperCamelCase   )					,				sep=" | "   )

									__lowerCAmelCase       					=    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  :     Union[str, Any]    					=    input("\n\nEnter a Postfix Equation (space separated) = ").split(" ")
	print("\n\tResult = ", solve(Postfix))








"""simple docstring"""


import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


A  :     Dict    					=    logging.get_logger(__name__)  # pylint: disable=invalid-name
class 						_UpperCamelCase						(     lowerCAmelCase__	):
							'''simple docstring'''







							def __init__(  self					,     __a					,     __a=7_68			):
										super().__init__(__a			)
										__lowerCAmelCase       					=    proj_size

										__lowerCAmelCase       					=    CLIPVisionModel(__a			)
										__lowerCAmelCase       					=    PaintByExampleMapper(__a			)
										__lowerCAmelCase       					=    nn.LayerNorm(config.hidden_size			)
										__lowerCAmelCase       					=    nn.Linear(config.hidden_size					,     self.proj_size			)

										# uncondition for scaling
										__lowerCAmelCase       					=    nn.Parameter(torch.randn((1, 1, self.proj_size)			)			)



							def     snake_case       (  self					,     __a					,     __a=False			):
										__lowerCAmelCase       					=    self.model(pixel_values=__a			)
										__lowerCAmelCase       					=    clip_output.pooler_output
										__lowerCAmelCase       					=    self.mapper(latent_states[:, None]			)
										__lowerCAmelCase       					=    self.final_layer_norm(__a			)
										__lowerCAmelCase       					=    self.proj_out(__a			)
										if return_uncond_vector:
													return latent_states, self.uncond_vector

										return latent_states
class 						_UpperCamelCase						(     nn.Module	):
							'''simple docstring'''







							def __init__(  self					,     __a			):
										super().__init__()
										__lowerCAmelCase       					=    (config.num_hidden_layers + 1) // 5
										__lowerCAmelCase       					=    config.hidden_size
										__lowerCAmelCase       					=    1
										__lowerCAmelCase       					=    nn.ModuleList(
										    [
										        BasicTransformerBlock(__a					,     __a					,     __a					,     activation_fn="gelu"					,     attention_bias=__a			)
										        for _ in range(__a			)
										    ]			)



							def     snake_case       (  self					,     __a			):
										for block in self.blocks:
													__lowerCAmelCase       					=    block(__a			)

										return hidden_states




