


"""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)

lowerCamelCase_   :   Tuple									=  logging.getLogger()
def _A						(						):







    """simple docstring"""
    a 		=argparse.ArgumentParser()
    parser.add_argument('''-f'''		)
    a 		=parser.parse_args()
    return args.f






class       __A				(       _SCREAMING_SNAKE_CASE			):






 """simple docstring"""




 def       SCREAMING_SNAKE_CASE							(		self						)					->     None:
     a 		=logging.StreamHandler(sys.stdout						)
     logger.addHandler(lowerCamelCase__						)


 def       SCREAMING_SNAKE_CASE							(		self ,    __A						)					->     Dict:
     a 		=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(lowerCamelCase__ ,    '''argv''' ,    lowerCamelCase__						):
             a 		=run_glue_deebert.main()
             for value in result.values():
                 self.assertGreaterEqual(lowerCamelCase__ ,    0.666						)





 @slow
 @require_torch_non_multi_gpu
 def       SCREAMING_SNAKE_CASE							(		self						)					->     Dict:
     a 		='''\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(lowerCamelCase__						)

     a 		='''\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(lowerCamelCase__						)

     a 		='''\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(lowerCamelCase__						)





import baseaa







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       bytes:





				"""simple docstring"""


				return baseaa.aaaencode(string.encode('utf-8'      )      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      bytes      )     ->       str:





				"""simple docstring"""


				return baseaa.aaadecode(UpperCamelCase__      ).decode('utf-8'      )


if __name__ == "__main__":
					import doctest

					doctest.testmod()


