

"""simple docstring"""






from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_tf_available():
	import tensorflow as tf


_lowerCamelCase     =  logging.get_logger(__name__)


@dataclass
class 			lowerCamelCase_		(			lowercase   ):





				"""simple docstring"""







				_lowerCAmelCase      :      Tuple      							=					[
				    "no_inference",
				    "no_cuda",
				    "no_tpu",
				    "no_speed",
				    "no_memory",
				    "no_env_print",
				    "no_multi_process",
				]



				def __init__(						self       ,		**UpperCAmelCase__     ):
								for deprecated_arg in self.deprecated_args:
												if deprecated_arg in kwargs:
																SCREAMING_SNAKE_CASE__     							=				deprecated_arg[3:]
																SCREAMING_SNAKE_CASE__     							=				not kwargs.pop(UpperCAmelCase__     )
																logger.warning(
																    f'''{deprecated_arg} is depreciated. Please use --no-{positive_arg} or'''
																    f''' {positive_arg}={kwargs[positive_arg]}'''     )
								SCREAMING_SNAKE_CASE__     							=				kwargs.pop("tpu_name"       ,		self.tpu_name     )
								SCREAMING_SNAKE_CASE__     							=				kwargs.pop("device_idx"       ,		self.device_idx     )
								SCREAMING_SNAKE_CASE__     							=				kwargs.pop("eager_mode"       ,		self.eager_mode     )
								SCREAMING_SNAKE_CASE__     							=				kwargs.pop("use_xla"       ,		self.use_xla     )
								super().__init__(**UpperCAmelCase__     )

				_lowerCAmelCase      :      str      							=					field(
				    default=lowercase       ,  metadata={"help": "Name of TPU"}       ,  )
				_lowerCAmelCase      :      int      							=					field(
				    default=0       ,  metadata={"help": "CPU / GPU device index. Defaults to 0."}       ,  )
				_lowerCAmelCase      :      bool      							=					field(default=lowercase       ,  metadata={"help": "Benchmark models in eager model."}   )
				_lowerCAmelCase      :      bool      							=					field(
				    default=lowercase       ,  metadata={
				        "help": "Benchmark models using XLA JIT compilation. Note that `eager_model` has to be set to `False`."
				    }       ,  )



				@cached_property
				def   lowerCAmelCase__		(						self     ):
								requires_backends(self       ,		["tf"]     )
								SCREAMING_SNAKE_CASE__     							=				None
								if self.tpu:
												try:
																if self.tpu_name:
																				SCREAMING_SNAKE_CASE__     							=				tf.distribute.cluster_resolver.TPUClusterResolver(self.tpu_name     )
																else:
																				SCREAMING_SNAKE_CASE__     							=				tf.distribute.cluster_resolver.TPUClusterResolver()
												except ValueError:
																SCREAMING_SNAKE_CASE__     							=				None
								return tpu



				@cached_property
				def   lowerCAmelCase__		(						self     ):
								requires_backends(self       ,		["tf"]     )
								if self.is_tpu:
												tf.config.experimental_connect_to_cluster(self._setup_tpu     )
												tf.tpu.experimental.initialize_tpu_system(self._setup_tpu     )

												SCREAMING_SNAKE_CASE__     							=				tf.distribute.TPUStrategy(self._setup_tpu     )
								else:
												# currently no multi gpu is allowed
												if self.is_gpu:
																# TODO: Currently only single GPU is supported
																tf.config.set_visible_devices(self.gpu_list[self.device_idx]       ,		"GPU"     )
																SCREAMING_SNAKE_CASE__     							=				tf.distribute.OneDeviceStrategy(device=f'''/gpu:{self.device_idx}'''     )
												else:
																tf.config.set_visible_devices([]       ,		"GPU"     )  # disable GPU
																SCREAMING_SNAKE_CASE__     							=				tf.distribute.OneDeviceStrategy(device=f'''/cpu:{self.device_idx}'''     )

								return strategy



				@property
				def   lowerCAmelCase__		(						self     ):
								requires_backends(self       ,		["tf"]     )
								return self._setup_tpu is not None



				@property
				def   lowerCAmelCase__		(						self     ):
								requires_backends(self       ,		["tf"]     )
								return self._setup_strategy



				@property
				def   lowerCAmelCase__		(						self     ):
								requires_backends(self       ,		["tf"]     )
								return tf.config.list_physical_devices("GPU"     )



				@property
				def   lowerCAmelCase__		(						self     ):
								requires_backends(self       ,		["tf"]     )
								if self.cuda:
												return len(self.gpu_list     )
								return 0






				@property
				def   lowerCAmelCase__		(						self     ):
								return self.n_gpu > 0




"""simple docstring"""






def __lowercase     (      lowerCamelCase_  :      Tuple  ):
				SCREAMING_SNAKE_CASE__     							=				[]
				SCREAMING_SNAKE_CASE__     							=				[]
				SCREAMING_SNAKE_CASE__     							=				{
				    "^": 3,
				    "*": 2,
				    "/": 2,
				    "%": 2,
				    "+": 1,
				    "-": 1,
				}  # Priority of each operator
				SCREAMING_SNAKE_CASE__     							=				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 __lowercase     (      lowerCamelCase_  :      str  ):
				SCREAMING_SNAKE_CASE__     							=				list(infix[::-1]  )  # reverse the infix equation

				for i in range(len(lowerCamelCase_  )  ):
								if infix[i] == "(":
												SCREAMING_SNAKE_CASE__     							=				")"  # change "(" to ")"
								elif infix[i] == ")":
												SCREAMING_SNAKE_CASE__     							=				"("  # change ")" to "("

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


if __name__ == "__main__":
	_lowerCamelCase     =  input('\nEnter an Infix Equation = ')  # Input an Infix equation
	_lowerCamelCase     =  ''.join(Infix.split())  # Remove spaces from the input
	print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')
