


'''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)

__snake_case							      =     logging.getLogger()


def 			a      (			)  ->	Optional[int]:



					'''simple docstring'''






					UpperCamelCase__   :List[Any]												= argparse.ArgumentParser()
					parser.add_argument('''-f'''   )
					UpperCamelCase__   :List[Any]												= parser.parse_args()
					return args.f







class    lowercase	(							A__					):

		"""simple docstring"""

		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :List[Any]												= logging.StreamHandler(sys.stdout							)
							logger.addHandler(UpperCamelCase_							)




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :Union[str, Any]												= 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_    ,   0.666							)




		@slow
		@require_torch_non_multi_gpu
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Union[str, Any]												= '''
            --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__   :Union[str, 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(UpperCamelCase_							)

							UpperCamelCase__   :str												= '''
            --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_							)






from timeit import timeit

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      number &= number - 1
      result += 1
   return result

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      if number % 2 == 1:
         result += 1
      number >>= 1
   return result

def   a_    ( ):

   def do_benchmark(lowerCAmelCase_      :			int	) -> None:
      __lowerCAmelCase								=	'import __main__ as z'
      print(F"""Benchmark when {number = }:"""	)
      print(F"""{get_set_bits_count_using_modulo_operator(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit('z.get_set_bits_count_using_modulo_operator(25)',	setup=lowerCAmelCase_	)
      print(F"""timeit() runs in {timing} seconds"""	)
      print(F"""{get_set_bits_count_using_brian_kernighans_algorithm(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit(
          'z.get_set_bits_count_using_brian_kernighans_algorithm(25)',	setup=lowerCAmelCase_,	)
      print(F"""timeit() runs in {timing} seconds"""	)

   for number in (25, 37, 58, 0):
      do_benchmark(lowerCAmelCase_	)
      print()


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     benchmark()

