

import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

a__												=						[
    '''cross_validation.py''',
    '''gradient_accumulation.py''',
    '''local_sgd.py''',
    '''multi_process_metrics.py''',
    '''memory.py''',
    '''automatic_gradient_accumulation.py''',
    '''fsdp_with_peak_mem_tracking.py''',
    '''deepspeed_with_config_support.py''',
    '''megatron_lm_gpt_pretraining.py''',
]

class 							UpperCAmelCase_						(     unittest.TestCase  ):
							"""simple docstring"""







							def 							__lowercase							(     self			,				_a			,				_a			,				_a = None			,				_a = None			)       ->       List[Any]:
												_a      :       Union[str, Any]   =						None
												_a      :       Optional[Any]   =						os.path.abspath(os.path.join('''examples'''			,				'''by_feature'''			)			)
												_a      :       Optional[int]   =						os.path.abspath('''examples'''			)
												for item in os.listdir(_a			):
																	if item not in EXCLUDE_EXAMPLES:
																						_a      :       Any   =						os.path.join(_a			,				_a			)
																						if os.path.isfile(_a			) and ".py" in item_path:
																											with self.subTest(
																											    tested_script=_a			,				feature_script=_a			,				tested_section='''main()''' if parser_only else '''training_function()'''			,				):
																																_a      :       Optional[int]   =						compare_against_test(
																																    os.path.join(_a			,				_a			)			,				_a			,				_a			,				_a			)
																																_a      :       Union[str, Any]   =						'''\n'''.join(_a			)
																																if special_strings is not None:
																																					for string in special_strings:
																																										_a      :       Union[str, Any]   =						diff.replace(_a			,				''''''			)
																																self.assertEqual(_a			,				''''''			)


							def 							__lowercase							(     self			)       ->       Optional[Any]:
												self.one_complete_example('''complete_nlp_example.py'''			,				_a			)
												self.one_complete_example('''complete_nlp_example.py'''			,				_a			)




							def 							__lowercase							(     self			)       ->       Union[str, Any]:
												_a      :       Optional[int]   =						os.path.abspath(os.path.join('''examples'''			,				'''cv_example.py'''			)			)
												_a      :       int   =						[
												    ''' ''' * 1_6 + '''{\n\n''',
												    ''' ''' * 2_0 + '''"accuracy": eval_metric["accuracy"],\n\n''',
												    ''' ''' * 2_0 + '''"f1": eval_metric["f1"],\n\n''',
												    ''' ''' * 2_0 + '''"train_loss": total_loss.item() / len(train_dataloader),\n\n''',
												    ''' ''' * 2_0 + '''"epoch": epoch,\n\n''',
												    ''' ''' * 1_6 + '''},\n\n''',
												    ''' ''' * 1_6 + '''step=epoch,\n''',
												    ''' ''' * 1_2,
												    ''' ''' * 8 + '''for step, batch in enumerate(active_dataloader):\n''',
												]
												self.one_complete_example('''complete_cv_example.py'''			,				_a			,				_a			,				_a			)
												self.one_complete_example('''complete_cv_example.py'''			,				_a			,				_a			,				_a			)



@mock.patch.dict(os.environ							,			{"TESTING_MOCKED_DATALOADERS": "1"}  )
class 							UpperCAmelCase_						(     __lowercase  ):
							"""simple docstring"""







							UpperCAmelCase__			:		Any             =       False


							@classmethod
							def 							__lowercase							(     cls			)       ->       List[Any]:
												super().setUpClass()
												_a      :       str   =						tempfile.mkdtemp()
												_a      :       str   =						os.path.join(cls._tmpdir			,				'''default_config.yml'''			)

												write_basic_config(save_location=cls.configPath			)
												_a      :       int   =						['''accelerate''', '''launch''', '''--config_file''', cls.configPath]


							@classmethod
							def 							__lowercase							(     cls			)       ->       Optional[int]:
												super().tearDownClass()
												shutil.rmtree(cls._tmpdir			)


							def 							__lowercase							(     self			)       ->       Dict:
												_a      :       Union[str, Any]   =						F"""
        examples/by_feature/checkpointing.py
        --checkpointing_steps epoch
        --output_dir {self.tmpdir}
        """.split()
												run_command(self._launch_args + testargs			)
												self.assertTrue(os.path.exists(os.path.join(self.tmpdir			,				'''epoch_0'''			)			)			)


							def 							__lowercase							(     self			)       ->       List[str]:
												_a      :       Union[str, Any]   =						F"""
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        """.split()
												_a      :       List[str]   =						run_command(self._launch_args + testargs			)
												self.assertTrue(os.path.exists(os.path.join(self.tmpdir			,				'''step_2'''			)			)			)


							def 							__lowercase							(     self			)       ->       Any:
												_a      :       Dict   =						F"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir			,				'epoch_0'			)}
        """.split()
												_a      :       str   =						run_command(self._launch_args + testargs			,				return_stdout=_a			)
												self.assertNotIn('''epoch 0:'''			,				_a			)
												self.assertIn('''epoch 1:'''			,				_a			)


							def 							__lowercase							(     self			)       ->       Dict:
												_a      :       Optional[Any]   =						F"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir			,				'step_2'			)}
        """.split()
												_a      :       Optional[int]   =						run_command(self._launch_args + testargs			,				return_stdout=_a			)
												if torch.cuda.is_available():
																	_a      :       List[Any]   =						torch.cuda.device_count()
												else:
																	_a      :       Tuple   =						1
												if num_processes > 1:
																	self.assertNotIn('''epoch 0:'''			,				_a			)
																	self.assertIn('''epoch 1:'''			,				_a			)
												else:
																	self.assertIn('''epoch 0:'''			,				_a			)
																	self.assertIn('''epoch 1:'''			,				_a			)


							@slow
							def 							__lowercase							(     self			)       ->       Union[str, Any]:
												_a      :       List[str]   =						'''
        examples/by_feature/cross_validation.py
        --num_folds 2
        '''.split()
												with mock.patch.dict(os.environ			,				{'''TESTING_MOCKED_DATALOADERS''': '''0'''}			):
																	_a      :       Tuple   =						run_command(self._launch_args + testargs			,				return_stdout=_a			)
																	_a      :       int   =						re.findall('''({.+})'''			,				_a			)
																	_a      :       int   =						[r for r in results if '''accuracy''' in r][-1]
																	_a      :       Optional[Any]   =						ast.literal_eval(_a			)
																	self.assertGreaterEqual(results['''accuracy''']			,				0.75			)


							def 							__lowercase							(     self			)       ->       str:
												_a      :       Optional[int]   =						['''examples/by_feature/multi_process_metrics.py''']
												run_command(self._launch_args + testargs			)


							@require_trackers
							@mock.patch.dict(os.environ			,				{'''WANDB_MODE''': '''offline'''}			)
							def 							__lowercase							(     self			)       ->       Union[str, Any]:
												with tempfile.TemporaryDirectory() as tmpdir:
																	_a      :       str   =						F"""
            examples/by_feature/tracking.py
            --with_tracking
            --project_dir {tmpdir}
            """.split()
																	run_command(self._launch_args + testargs			)
																	self.assertTrue(os.path.exists(os.path.join(_a			,				'''tracking'''			)			)			)


							def 							__lowercase							(     self			)       ->       Optional[int]:
												_a      :       List[str]   =						['''examples/by_feature/gradient_accumulation.py''']
												run_command(self._launch_args + testargs			)




							def 							__lowercase							(     self			)       ->       List[Any]:
												_a      :       Union[str, Any]   =						['''examples/by_feature/local_sgd.py''']
												run_command(self._launch_args + testargs			)









'''simple docstring'''



def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> Dict:




     '''simple docstring'''





     __snake_case            =	[]
     __snake_case            =	[]
     __snake_case            =	{
         '''^''': 3,
         '''*''': 2,
         '''/''': 2,
         '''%''': 2,
         '''+''': 1,
         '''-''': 1,
     }  # Priority of each operator
     __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       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> str:




     '''simple docstring'''





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

     for i in range(len(_lowerCamelCase						)						):
          if infix[i] == "(":
               __snake_case            =	''')'''  # change "(" to ")"
          elif infix[i] == ")":
               __snake_case            =	'''('''  # change ")" to "("

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


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






