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  :     Tuple       =  logging.getLogger()





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



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


__a  :     Optional[Any]       =  logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)




@require_torch_tpu
class    _UpperCamelCase      (						_UpperCAmelCase ):


			"""simple docstring"""






			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Dict:

							'''simple docstring'''


							import xla_spawn

							__lowercase 			=							self.get_auto_remove_tmp_dir()
							__lowercase 			=							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(lowerCAmelCase__      ,   '''argv'''      ,   lowerCAmelCase__						):
											__lowercase 			=							time()
											xla_spawn.main()
											__lowercase 			=							time()

											__lowercase 			=							get_results(lowerCAmelCase__						)
											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_00						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					int:

							'''simple docstring'''


							import xla_spawn

							__lowercase 			=							'''
            ./tests/test_trainer_tpu.py
            --num_cores=8
            ./tests/test_trainer_tpu.py
            '''.split()
							with patch.object(lowerCAmelCase__      ,   '''argv'''      ,   lowerCAmelCase__						):
											xla_spawn.main()
from ..utils import DummyObject, requires_backends




class    _UpperCamelCase      (						metaclass=_UpperCAmelCase ):


			"""simple docstring"""






			__a  : Dict			 =						['''keras_nlp''']





			def __init__(   self      ,   *lowerCAmelCase__      ,   **lowerCAmelCase__						)     ->					Tuple:

							'''simple docstring'''


							requires_backends(self      ,   ['''keras_nlp''']						)