



# XXX: we want transformers master here - in the absense of conftest manipulating sys.path:
# hack it in for now:
import sys
from pathlib import Path


a_						:     Optional[int]	     =		Path(__file__).resolve().parents[3] / 'src'
sys.path.insert(1, str(git_repo_path))

import dataclasses  # noqa
import io  # noqa
import itertools  # noqa
import json  # noqa
import os  # noqa
import unittest  # noqa
from copy import deepcopy  # noqa

from parameterized import parameterized  # noqa
from transformers import TrainingArguments, is_torch_available  # noqa
from transformers.deepspeed import is_deepspeed_available  # noqa
from transformers.file_utils import WEIGHTS_NAME  # noqa
from transformers.testing_utils import (  # noqa
    CaptureLogger,
    ExtendSysPath,
    TestCasePlus,
    execute_subprocess_async,
    get_gpu_count,
    mockenv_context,
    require_deepspeed,
    require_torch_gpu,
    require_torch_multi_gpu,
    slow,
)
from transformers.trainer_utils import set_seed  # noqa


set_seed(4_2)

a_						:     Union[str, Any]	     =		{'base': 'patrickvonplaten/wav2vec2_tiny_random', 'robust': 'patrickvonplaten/wav2vec2_tiny_random_robust'}

a_						:     Union[str, Any]	     =		'zero2'
a_						:     Optional[Any]	     =		'zero3'
a_						:     Any	     =		[ZEROa, ZEROa]

def     __lowercase(	UpperCAmelCase__   ,   UpperCAmelCase__   ,   UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		parameterized.to_safe_name("_".join(str(UpperCAmelCase__ ) for x in param.args ) )
      return F"""{func.__name__}_{param_based_name}"""


# Cartesian-product of zero stages with models to test
a_						:     Dict	     =		list(itertools.product(stages, models.keys()))






@slow
@require_deepspeed
@require_torch_gpu
class    lowerCamelCase__  (						UpperCAmelCase_):
     """simple docstring"""



     @parameterized.expand(__a				,			name_func=__a    )
     def 						_a      (self				,			__a				,			__a    ):






           '''simple docstring'''



           self.run_and_check(
               stage=__a				,			model=__a				,			distributed=__a				,			fpaa=__a				,			)







     @require_torch_multi_gpu
     @parameterized.expand(__a				,			name_func=__a    )
     def 						_a      (self				,			__a				,			__a    ):






           '''simple docstring'''



           self.run_and_check(
               stage=__a				,			model=__a				,			distributed=__a				,			fpaa=__a				,			)







     @parameterized.expand(__a				,			name_func=__a    )
     def 						_a      (self				,			__a				,			__a    ):






           '''simple docstring'''



           self.run_and_check(
               stage=__a				,			model=__a				,			distributed=__a				,			fpaa=__a				,			)







     @require_torch_multi_gpu
     @parameterized.expand(__a				,			name_func=__a    )
     def 						_a      (self				,			__a				,			__a    ):






           '''simple docstring'''



           self.run_and_check(
               stage=__a				,			model=__a				,			distributed=__a				,			fpaa=__a				,			)







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



           pass







     def 						_a      (self				,			__a				,			__a				,			__a = 10				,			__a = True				,			__a = True				,			__a = True				,			):






           '''simple docstring'''



           lowerCamelCase								=		models[model]

           lowerCamelCase								=		self.run_trainer(
               stage=__a				,			model_name=__a				,			eval_steps=__a				,			num_train_epochs=1				,			distributed=__a				,			fpaa=__a				,			)

           self.do_checks(__a    )

           return output_dir







     def 						_a      (self				,			__a				,			__a				,			__a = 10				,			__a = 1				,			__a = True				,			__a = True				,			):






           '''simple docstring'''



           lowerCamelCase								=		self.get_auto_remove_tmp_dir("./xxx"				,			after=__a    )
           lowerCamelCase								=		F"""
            --model_name_or_path {model_name}
            --dataset_name hf-internal-testing/librispeech_asr_dummy
            --dataset_config_name clean
            --train_split_name validation
            --validation_split_name validation
            --output_dir {output_dir}
            --num_train_epochs {str(__a    )}
            --per_device_train_batch_size 2
            --per_device_eval_batch_size 2
            --evaluation_strategy steps
            --learning_rate 5e-4
            --warmup_steps 8
            --orthography timit
            --preprocessing_num_workers 1
            --group_by_length
            --freeze_feature_extractor
            --report_to none
            --save_steps 0
            --eval_steps {eval_steps}
            --report_to none
        """.split()

           if fpaa:
                 args.extend(["--fp16"]    )

           # currently ds_config_wav2vec2_zero.json requires "zero_optimization.find_unused_parameters": true,
           # hence the separate config files
           lowerCamelCase								=		F"""--deepspeed {self.test_file_dir_str}/ds_config_wav2vec2_{stage}.json""".split()
           lowerCamelCase								=		[F"""{self.examples_dir_str}/research_projects/wav2vec2/run_asr.py"""]
           lowerCamelCase								=		self.get_launcher(__a    )

           lowerCamelCase								=		launcher + script + args + ds_args
           # keep for quick debug
           # print(" ".join([f"\nPYTHONPATH={self.src_dir_str}"] +cmd)); die
           execute_subprocess_async(__a				,			env=self.get_env()    )

           return output_dir







     def 						_a      (self				,			__a=False    ):






           '''simple docstring'''



           lowerCamelCase								=		min(2				,			get_gpu_count()    ) if distributed else 1
           return F"""deepspeed --num_nodes 1 --num_gpus {num_gpus}""".split()








def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		[]
      lowerCamelCase								=		[]
      lowerCamelCase								=		{
          "^": 3,
          "*": 2,
          "/": 2,
          "%": 2,
          "+": 1,
          "-": 1,
      }  # Priority of each operator
      lowerCamelCase								=		len(UpperCAmelCase__ ) if (len(UpperCAmelCase__ ) > 7) else 7

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

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

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

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

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

def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		list(infix[::-1] )  # reverse the infix equation

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

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


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