

import doctest
import sys
import warnings
from os.path import abspath, dirname, join

import _pytest

from transformers.testing_utils import HfDoctestModule, HfDocTestParser


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCAmelCase   :      int     =     abspath(join(dirname(__file__), 'src'))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)

def       A_     (							a     ):

      """simple docstring"""



      config.addinivalue_line(
          'markers'    ,      'is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested'     )
      config.addinivalue_line(
          'markers'    ,      'is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested'     )
      config.addinivalue_line('markers'    ,      'is_pipeline_test: mark test to run only when pipelines are tested'     )
      config.addinivalue_line('markers'    ,      'is_staging_test: mark test to run only in the staging environment'     )
      config.addinivalue_line('markers'    ,      'accelerate_tests: mark test that require accelerate'     )
      config.addinivalue_line('markers'    ,      'tool_tests: mark the tool tests that are run on their specific schedule'     )

def       A_     (							a     ):

      """simple docstring"""



      from transformers.testing_utils import pytest_addoption_shared

      pytest_addoption_shared(lowerCAmelCase__     )

def       A_     (							a     ):

      """simple docstring"""



      from transformers.testing_utils import pytest_terminal_summary_main

      SCREAMING_SNAKE_CASE_ :     Optional[int]							=   terminalreporter.config.getoption('--make-reports'     )
      if make_reports:
            pytest_terminal_summary_main(lowerCAmelCase__    ,      id=lowerCAmelCase__     )

def       A_     (							a    ,      a     ):

      """simple docstring"""



      if exitstatus == 5:
            SCREAMING_SNAKE_CASE_ :     Union[str, Any]							=   0


# Doctest custom flag to ignore output.
lowerCAmelCase   :      Tuple     =     doctest.register_optionflag('IGNORE_RESULT')

lowerCAmelCase   :      str     =     doctest.OutputChecker
class        _A						(     lowercase_):

  def        UpperCAmelCase			( self       ,    _SCREAMING_SNAKE_CASE       ,    _SCREAMING_SNAKE_CASE       ,    _SCREAMING_SNAKE_CASE    ):





        """simple docstring"""







        if IGNORE_RESULT & optionflags:
              return True
        return OutputChecker.check_output(self       ,    SCREAMING_SNAKE_CASE_       ,    SCREAMING_SNAKE_CASE_       ,    SCREAMING_SNAKE_CASE_    )

lowerCAmelCase   :      int     =     CustomOutputChecker
lowerCAmelCase   :      Dict     =     HfDoctestModule



lowerCAmelCase   :      Union[str, Any]     =     HfDocTestParser











"""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)

lowercase__		:				List[str]          =	logging.getLogger()

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str						)						->   Dict:

  """simple docstring"""




  lowerCAmelCase_   :				Dict								= {}
  lowerCAmelCase_   :				Union[str, Any]								= os.path.join(lowerCAmelCase__    ,   'all_results.json'						)
  if os.path.exists(lowerCAmelCase__						):
    with open(lowerCAmelCase__    ,   'r'						) as f:
      lowerCAmelCase_   :				Any								= json.load(lowerCAmelCase__						)
  else:
    raise ValueError(f"can't find {path}"						)
  return results


lowercase__		:				Optional[int]          =	logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







@require_torch_tpu
class       UpperCamelCase__   (	lowercase_  ):




      """simple docstring"""




      def      SCREAMING_SNAKE_CASE__ (      self				:      Any       ):
        import xla_spawn

        lowerCAmelCase_   :				Union[str, Any]								= self.get_auto_remove_tmp_dir()
        lowerCAmelCase_   :				Optional[Any]								= 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(SCREAMING_SNAKE_CASE_    ,			'argv'    ,			SCREAMING_SNAKE_CASE_       ):
          lowerCAmelCase_   :				Optional[Any]								= time()
          xla_spawn.main()
          lowerCAmelCase_   :				Any								= time()

          lowerCAmelCase_   :				Dict								= get_results(SCREAMING_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    ,			5_0_0       )





      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]       ):
        import xla_spawn

        lowerCAmelCase_   :				Dict								= '\n            ./tests/test_trainer_tpu.py\n            --num_cores=8\n            ./tests/test_trainer_tpu.py\n            '.split()
        with patch.object(SCREAMING_SNAKE_CASE_    ,			'argv'    ,			SCREAMING_SNAKE_CASE_       ):
          xla_spawn.main()





