


"""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)

lowerCAmelCase__				    =       logging.getLogger()
def  a__      (    SCREAMING_SNAKE_CASE   :   Tuple    ):


  '''simple docstring'''







  lowerCAmelCase					:					List[Any]								=							{}
  lowerCAmelCase					:					Dict								=							os.path.join(SCREAMING_SNAKE_CASE    ,				"all_results.json"    )
  if os.path.exists(SCREAMING_SNAKE_CASE    ):
    with open(SCREAMING_SNAKE_CASE    ,				"r"    ) as f:
      lowerCAmelCase					:					Optional[int]								=							json.load(SCREAMING_SNAKE_CASE    )
  else:
    raise ValueError(f"""can't find {path}"""    )
  return results


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




@require_torch_tpu
class 				SCREAMING_SNAKE_CASE__    (		lowercase    ):
       """simple docstring"""


       def 	lowercase__							(						self						):






         """simple docstring"""





         import xla_spawn

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

         with patch.object(snake_case__		,					"argv"		,					snake_case__						):
           lowerCAmelCase					:					Tuple								=							time()
           xla_spawn.main()
           lowerCAmelCase					:					Tuple								=							time()

           lowerCAmelCase					:					int								=							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 	lowercase__							(						self						):






         """simple docstring"""





         import xla_spawn

         lowerCAmelCase					:					Any								=							"\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

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase__				    =       1.0_5_4_5_7_1_8_1_7e-3_4  # unit of ℏ : J * s

lowerCAmelCase__				    =       3e8  # unit of c : m * s^-1
def  a__      (    SCREAMING_SNAKE_CASE   :   float    ,				SCREAMING_SNAKE_CASE   :   float    ,				SCREAMING_SNAKE_CASE   :   float    ):


  '''simple docstring'''







  if (force, area, distance).count(0    ) != 1:
    raise ValueError("One and only one argument must be 0"    )
  if force < 0:
    raise ValueError("Magnitude of force can not be negative"    )
  if distance < 0:
    raise ValueError("Distance can not be negative"    )
  if area < 0:
    raise ValueError("Area can not be negative"    )
  if force == 0:
    lowerCAmelCase					:					Any								=							(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
        2_4_0 * (distance) ** 4
    )
    return {"force": force}
  elif area == 0:
    lowerCAmelCase					:					Any								=							(2_4_0 * force * (distance) ** 4) / (
        REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
    )
    return {"area": area}
  elif distance == 0:
    lowerCAmelCase					:					Dict								=							(
        (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_4_0 * force)
    ) ** (1 / 4)
    return {"distance": distance}
  raise ValueError("One and only one argument must be 0"    )


# Run doctest
if __name__ == "__main__":
     import doctest

     doctest.testmod()





