




'''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_      :  List[str]				     =  logging.getLogger()



def  _SCREAMING_SNAKE_CASE     (      ):




     """simple docstring"""


     a_     :							Union[str, Any]     						=  argparse.ArgumentParser()
     parser.add_argument("""-f"""				)
     a_     :							Tuple     						=  parser.parse_args()
     return args.f







class      SCREAMING_SNAKE_CASE    (						snake_case_				):






      def 							lowercase_						( self   :  Any       ):


           '''simple docstring'''

           a_     :							Any     						=  logging.StreamHandler(sys.stdout       )
           logger.addHandler(lowercase__       )






      def 							lowercase_						( self   :  Any						,						lowercase__   :  Dict       ):


           '''simple docstring'''

           a_     :							int     						=  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(lowercase__						,						"""argv"""						,						lowercase__       ):
                     a_     :							int     						=  run_glue_deebert.main()
                     for value in result.values():
                          self.assertGreaterEqual(lowercase__						,						0.666       )






      @slow
      @require_torch_non_multi_gpu
      def 							lowercase_						( self   :  Dict       ):


           '''simple docstring'''

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

           a_     :							Any     						=  """
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --eval_each_highway
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            """.split()
           self.run_and_check(lowercase__       )

           a_     :							Any     						=  """
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --early_exit_entropy 0.1
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            """.split()
           self.run_and_check(lowercase__       )






'''simple docstring'''


from ..utils import DummyObject, requires_backends







class      SCREAMING_SNAKE_CASE    (						metaclass=snake_case_				):
      __magic_name__  :       Dict   							=					['''transformers''', '''torch''', '''note_seq''']






      def __init__( self   :  List[str]						,						*lowercase__   :  Dict						,						**lowercase__   :  int       ):


           '''simple docstring'''

           requires_backends(self						,						["""transformers""", """torch""", """note_seq"""]       )






      @classmethod
      def 							lowercase_						( cls   :  Dict						,						*lowercase__   :  List[str]						,						**lowercase__   :  str       ):


           '''simple docstring'''

           requires_backends(cls						,						["""transformers""", """torch""", """note_seq"""]       )






      @classmethod
      def 							lowercase_						( cls   :  str						,						*lowercase__   :  Optional[int]						,						**lowercase__   :  Any       ):


           '''simple docstring'''

           requires_backends(cls						,						["""transformers""", """torch""", """note_seq"""]       )
