"""simple docstring"""







import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_deebert

from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow


logging.basicConfig(level=logging.DEBUG)

__SCREAMING_SNAKE_CASE								=logging.getLogger()



def     lowercase__( ):
     lowercase_			:       Any									=			argparse.ArgumentParser()
     parser.add_argument('-f'   )
     lowercase_			:       Union[str, Any]									=			parser.parse_args()
     return args.f







class  UpperCamelCase	(    lowercase_						):
   def     _UpperCAmelCase     (    self    )			->   None:


        '''simple docstring'''


        lowercase_			:       List[Any]									=			logging.StreamHandler(sys.stdout    )
        logger.addHandler(__UpperCamelCase    )
   def     _UpperCAmelCase     (    self  ,__UpperCamelCase    )			->   Tuple:


        '''simple docstring'''


        lowercase_			:       str									=			get_gpu_count()

        if n_gpu > 1:
             pass
             # XXX: doesn't quite work with n_gpu > 1 https://github.com/huggingface/transformers/issues/10560
             # script = f"{self.examples_dir_str}/research_projects/deebert/run_glue_deebert.py"
             # distributed_args = f"-m torch.distributed.launch --nproc_per_node={n_gpu} {script}".split()
             # cmd = [sys.executable] + distributed_args + args
             # execute_subprocess_async(cmd, env=self.get_env())
             # XXX: test the results - need to save them first into .json file
        else:
             args.insert(0  ,'run_glue_deebert.py'    )
             with patch.object(__UpperCamelCase  ,'argv'  ,__UpperCamelCase    ):
                  lowercase_			:       Tuple									=			run_glue_deebert.main()
                  for value in result.values():
                       self.assertGreaterEqual(__UpperCamelCase  ,0.666    )







   @slow
   @require_torch_non_multi_gpu
   def     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


        lowercase_			:       Any									=			'\n            --model_type roberta\n            --model_name_or_path roberta-base\n            --task_name MRPC\n            --do_train\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --max_seq_length 128\n            --per_gpu_eval_batch_size=1\n            --per_gpu_train_batch_size=8\n            --learning_rate 2e-4\n            --num_train_epochs 3\n            --overwrite_output_dir\n            --seed 42\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --save_steps 0\n            --overwrite_cache\n            --eval_after_first_stage\n            '.split()
        self.run_and_check(__UpperCamelCase    )

        lowercase_			:       str									=			'\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --eval_each_highway\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            '.split()
        self.run_and_check(__UpperCamelCase    )

        lowercase_			:       Union[str, Any]									=			'\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --early_exit_entropy 0.1\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            '.split()
        self.run_and_check(__UpperCamelCase    )


"""simple docstring"""







from diffusers.utils.testing_utils import require_onnxruntime







@require_onnxruntime
class  UpperCamelCase	:
   pass

