


import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput

@dataclass
class      lowerCamelCase	(  SCREAMING_SNAKE_CASE     ):
       _UpperCamelCase    		=      42
       _UpperCamelCase    		=      None
       _UpperCamelCase    		=      None







class      lowerCamelCase	(  unittest.TestCase     ):

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Optional[int]	  =      ModelOutputTest(a=30					)
        self.assertEqual(x.a	,						30					)
        self.assertIsNone(x.b					)
        self.assertIsNone(x.c					)
        with self.assertRaises(a__					):
         snake_case   : List[str]	  =      x.d

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : List[str]	  =      ModelOutputTest(a=30	,						b=10					)
        self.assertEqual(x[0]	,						30					)
        self.assertEqual(x[1]	,						10					)
        self.assertEqual(x[:2]	,						(30, 10)					)
        self.assertEqual(x[:]	,						(30, 10)					)

        snake_case   : str	  =      ModelOutputTest(a=30	,						c=10					)
        self.assertEqual(x[0]	,						30					)
        self.assertEqual(x[1]	,						10					)
        self.assertEqual(x[:2]	,						(30, 10)					)
        self.assertEqual(x[:]	,						(30, 10)					)

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Optional[Any]	  =      ModelOutputTest(a=30	,						b=10					)
        self.assertEqual(x['''a''']	,						30					)
        self.assertEqual(x['''b''']	,						10					)
        with self.assertRaises(a__					):
         snake_case   : Tuple	  =      x['''c''']

        snake_case   : List[Any]	  =      ModelOutputTest(a=30	,						c=10					)
        self.assertEqual(x['''a''']	,						30					)
        self.assertEqual(x['''c''']	,						10					)
        with self.assertRaises(a__					):
         snake_case   : str	  =      x['''b''']

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : str	  =      ModelOutputTest(a=30					)
        self.assertEqual(list(x.keys()					)	,						['''a''']					)
        self.assertEqual(list(x.values()					)	,						[30]					)
        self.assertEqual(list(x.items()					)	,						[('''a''', 30)]					)
        self.assertEqual(list(a__					)	,						['''a''']					)

        snake_case   : Union[str, Any]	  =      ModelOutputTest(a=30	,						b=10					)
        self.assertEqual(list(x.keys()					)	,						['''a''', '''b''']					)
        self.assertEqual(list(x.values()					)	,						[30, 10]					)
        self.assertEqual(list(x.items()					)	,						[('''a''', 30), ('''b''', 10)]					)
        self.assertEqual(list(a__					)	,						['''a''', '''b''']					)

        snake_case   : Tuple	  =      ModelOutputTest(a=30	,						c=10					)
        self.assertEqual(list(x.keys()					)	,						['''a''', '''c''']					)
        self.assertEqual(list(x.values()					)	,						[30, 10]					)
        self.assertEqual(list(x.items()					)	,						[('''a''', 30), ('''c''', 10)]					)
        self.assertEqual(list(a__					)	,						['''a''', '''c''']					)

        with self.assertRaises(a__					):
         snake_case   : Union[str, Any]	  =      x.update({'''d''': 20}					)
        with self.assertRaises(a__					):
         del x["a"]
        with self.assertRaises(a__					):
         snake_case   : List[Any]	  =      x.pop('''a'''					)
        with self.assertRaises(a__					):
         snake_case   : List[Any]	  =      x.setdefault('''d'''	,						32					)

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Tuple	  =      ModelOutputTest(a=30					)
        snake_case   : List[str]	  =      10
        self.assertEqual(x.a	,						10					)
        self.assertEqual(x['''a''']	,						10					)

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : List[str]	  =      ModelOutputTest(a=30					)
        snake_case   : List[str]	  =      10
        self.assertEqual(x.a	,						10					)
        self.assertEqual(x['''a''']	,						10					)

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Tuple	  =      ModelOutputTest({'''a''': 30, '''b''': 10}					)
        self.assertEqual(list(x.keys()					)	,						['''a''', '''b''']					)
        self.assertEqual(x.a	,						30					)
        self.assertEqual(x.b	,						10					)



       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Dict	  =      ModelOutputTest([('''a''', 30), ('''b''', 10)]					)
        self.assertEqual(list(x.keys()					)	,						['''a''', '''b''']					)
        self.assertEqual(x.a	,						30					)
        self.assertEqual(x.b	,						10					)

        with self.assertRaises(a__					):
         snake_case   : int	  =      ModelOutputTest([('''a''', 30), (10, 10)]					)

        snake_case   : str	  =      ModelOutputTest(a=(30, 30)					)
        self.assertEqual(list(x.keys()					)	,						['''a''']					)
        self.assertEqual(x.a	,						(30, 30)					)










import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp






def    _UpperCAmelCase	(   )		->str:


 '''simple docstring'''
 snake_case   : List[str]	  =      ArgumentParser(
     description=(
         '''PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes'''
     )       )

 # Optional arguments for the launch helper
 parser.add_argument('''--num_cores''' ,     type=__lowerCamelCase ,     default=1 ,     help='''Number of TPU cores to use (1 or 8).'''       )

 # positional
 parser.add_argument(
     '''training_script''' ,     type=__lowerCamelCase ,     help=(
         '''The full path to the single TPU training '''
         '''program/script to be launched in parallel, '''
         '''followed by all the arguments for the '''
         '''training script'''
     ) ,     )

 # rest from the training program
 parser.add_argument('''training_script_args''' ,     nargs=__lowerCamelCase       )

 return parser.parse_args()






def    _UpperCAmelCase	(   )		->Optional[int]:


 '''simple docstring'''
 snake_case   : Optional[Any]	  =      parse_args()

 # Import training_script as a module.
 snake_case   : str	  =      Path(args.training_script       )
 sys.path.append(str(script_fpath.parent.resolve()       )       )
 snake_case   : str	  =      script_fpath.stem
 snake_case   : Optional[int]	  =      importlib.import_module(__lowerCamelCase       )

 # Patch sys.argv
 snake_case   : int	  =      [args.training_script] + args.training_script_args + ['''--tpu_num_cores''', str(args.num_cores       )]

 xmp.spawn(mod._mp_fn ,     args=() ,     nprocs=args.num_cores       )


if __name__ == "__main__":
  main()






