

"""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)

__UpperCAmelCase =				logging.getLogger()
def   lowerCAmelCase						(					):
 '''simple docstring'''





 UpperCAmelCase__					:  List[Any]					   =					argparse.ArgumentParser()
 parser.add_argument("""-f"""      )
 UpperCAmelCase__					:  Optional[int]					   =					parser.parse_args()
 return args.f







class      __lowercase			(    lowercase_					):

  def    __lowercase       (  self		:			int    ):






   '''simple docstring'''
   UpperCAmelCase__					:  List[Any]					   =					logging.StreamHandler(sys.stdout    )
   logger.addHandler(UpperCamelCase__    )

  def    __lowercase       (  self		:			Union[str, Any]					,A		:			List[str]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  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__    ):
     UpperCAmelCase__					:  Tuple					   =					run_glue_deebert.main()
     for value in result.values():
      self.assertGreaterEqual(UpperCamelCase__					,0.6_6_6    )




  @slow
  @require_torch_non_multi_gpu
  def    __lowercase       (  self		:			str    ):






   '''simple docstring'''
   UpperCAmelCase__					:  int					   =					"""
            --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(UpperCamelCase__    )

   UpperCAmelCase__					:  Dict					   =					"""
            --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(UpperCamelCase__    )

   UpperCAmelCase__					:  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(UpperCamelCase__    )








"""simple docstring"""




def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  str					   =					[]
 if len(__UpperCamelCase      ) == 1:
  return [nums.copy()]
 for _ in range(len(__UpperCamelCase      )      ):
  UpperCAmelCase__					:  Tuple					   =					nums.pop(0      )
  UpperCAmelCase__					:  List[str]					   =					permute(__UpperCamelCase      )
  for perm in permutations:
   perm.append(__UpperCamelCase      )
  result.extend(__UpperCamelCase      )
  nums.append(__UpperCamelCase      )
 return result
def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 def backtrack(__UpperCamelCase      ):
  if start == len(__UpperCamelCase      ) - 1:
   output.append(nums[:]      )
  else:
   for i in range(__UpperCamelCase							,    len(__UpperCamelCase      )      ):
    UpperCAmelCase__   ,      UpperCAmelCase__					:  Union[str, Any]					   =					nums[i], nums[start]
    backtrack(start + 1      )
    UpperCAmelCase__   ,      UpperCAmelCase__					:  Union[str, Any]					   =					nums[i], nums[start]  # backtrack

 UpperCAmelCase__					:  List[str]					   =					[]
 backtrack(0      )
 return output


if __name__ == "__main__":
      import doctest

      # use res to print the data in permute2 function
      __UpperCAmelCase =				permutea([1, 2, 3])
      print(res)
      doctest.testmod()





