





'''simple docstring'''

import json
import logging
import os
import sys
from time import time
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, require_torch_tpu


logging.basicConfig(level=logging.DEBUG)

a   	=    logging.getLogger()

def     __magic_name__							(				__UpperCAmelCase   )    ->       Union[str, Any]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE   				=							{}
   __SCREAMING_SNAKE_CASE   				=							os.path.join(_UpperCAmelCase				,						"""all_results.json"""   )
   if os.path.exists(_UpperCAmelCase   ):
      with open(_UpperCAmelCase				,						"""r"""   ) as f:
         __SCREAMING_SNAKE_CASE   				=							json.load(_UpperCAmelCase   )
   else:
      raise ValueError(f"""can\'t find {path}"""   )
   return results


a   	=    logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







@require_torch_tpu
class __a			( a__      ):





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      import xla_spawn

      __SCREAMING_SNAKE_CASE   				=							self.get_auto_remove_tmp_dir()
      __SCREAMING_SNAKE_CASE   				=							f"""\n            ./examples/pytorch/text-classification/run_glue.py\n            --num_cores=8\n            ./examples/pytorch/text-classification/run_glue.py\n            --model_name_or_path distilbert-base-uncased\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv\n            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv\n            --do_train\n            --do_eval\n            --debug tpu_metrics_debug\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n            --learning_rate=1e-4\n            --max_steps=10\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            """.split()

      with patch.object(_snake_case					,"""argv"""					,_snake_case     ):
         __SCREAMING_SNAKE_CASE   				=							time()
         xla_spawn.main()
         __SCREAMING_SNAKE_CASE   				=							time()

         __SCREAMING_SNAKE_CASE   				=							get_results(_snake_case     )
         self.assertGreaterEqual(result["""eval_accuracy"""]					,0.75     )

         # Assert that the script takes less than 500 seconds to make sure it doesn't hang.
         self.assertLess(end - start					,500     )





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      import xla_spawn

      __SCREAMING_SNAKE_CASE   				=							"""\n            ./tests/test_trainer_tpu.py\n            --num_cores=8\n            ./tests/test_trainer_tpu.py\n            """.split()
      with patch.object(_snake_case					,"""argv"""					,_snake_case     ):
         xla_spawn.main()












"""simple docstring"""
from __future__ import annotations

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    list[float]			):
 lowerCAmelCase    				= 0.00
 lowerCAmelCase    				= 0
 for resistor in resistors:
  if resistor <= 0:
   lowerCAmelCase    				= F'Resistor at index {index} has a negative or zero value!'
   raise ValueError(_UpperCAmelCase			)
  first_sum += 1 / float(_UpperCAmelCase			)
  index += 1
 return 1 / first_sum

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    list[float]			):
 lowerCAmelCase    				= 0.00
 lowerCAmelCase    				= 0
 for resistor in resistors:
  sum_r += resistor
  if resistor < 0:
   lowerCAmelCase    				= F'Resistor at index {index} has a negative value!'
   raise ValueError(_UpperCAmelCase			)
  index += 1
 return sum_r


if __name__ == "__main__":
       import doctest

       doctest.testmod()





