
from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
lowerCamelCase__     :		Dict        = 1_0

def 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )		->						int:


  '''simple docstring'''






  for i in range(lowercase_			,			lowercase_ ):
    if array[i] == target:
      return i
  return -1

def 		UpperCamelCase						(   lowercase_			,			lowercase_ )		->						int:


  '''simple docstring'''






  lowercase__	: Any     		=   0
  lowercase__	: List[Any]     		=   len(lowercase_ )
  while left <= right:
    if right - left < precision:
      return lin_search(lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )

    lowercase__	: Dict     		=   (left + right) // 3 + 1
    lowercase__	: Union[str, Any]     		=   2 * (left + right) // 3 + 1

    if array[one_third] == target:
      return one_third
    elif array[two_third] == target:
      return two_third

    elif target < array[one_third]:
      lowercase__	: Any     		=   one_third - 1
    elif array[two_third] < target:
      lowercase__	: Tuple     		=   two_third + 1

    else:
      lowercase__	: Dict     		=   one_third + 1
      lowercase__	: Union[str, Any]     		=   two_third - 1
  else:
    return -1

def 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )		->						int:


  '''simple docstring'''






  if left < right:
    if right - left < precision:
      return lin_search(lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )
    lowercase__	: Union[str, Any]     		=   (left + right) // 3 + 1
    lowercase__	: Optional[Any]     		=   2 * (left + right) // 3 + 1

    if array[one_third] == target:
      return one_third
    elif array[two_third] == target:
      return two_third

    elif target < array[one_third]:
      return rec_ternary_search(lowercase_			,			one_third - 1			,			lowercase_			,			lowercase_ )
    elif array[two_third] < target:
      return rec_ternary_search(two_third + 1			,			lowercase_			,			lowercase_			,			lowercase_ )
    else:
      return rec_ternary_search(one_third + 1			,			two_third - 1			,			lowercase_			,			lowercase_ )
  else:
    return -1


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     lowerCamelCase__     :		str        = input("""Enter numbers separated by comma:\n""").strip()
     lowerCamelCase__     :		Dict        = [int(item.strip()) for item in user_input.split(""",""")]
     assert collection == sorted(collection), f"List must be ordered.\n{collection}."
     lowerCamelCase__     :		List[Any]        = int(input("""Enter the number to be found in the list:\n""").strip())
     lowerCamelCase__     :		Union[str, Any]        = ite_ternary_search(collection, target)
     lowerCamelCase__     :		Optional[Any]        = rec_ternary_search(0, len(collection) - 1, collection, target)
     if resulta != -1:
          print(f'''Iterative search: {target} found at positions: {resulta}''')
          print(f'''Recursive search: {target} found at positions: {resulta}''')
     else:
          print("""Not found""")











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)

a__   :					Optional[Any] 						=      logging.getLogger()

def 	_lowerCAmelCase (    ):
      lowercase__  =	argparse.ArgumentParser()
      parser.add_argument('-f'						)
      lowercase__  =	parser.parse_args()
      return args.f



class    UpperCAmelCase__(				lowerCamelCase						):

   '''simple docstring'''




   def       UpperCAmelCase		(    self	:      List[str])						->					None:




         """simple docstring"""

         lowercase__  =	logging.StreamHandler(sys.stdout)
         logger.addHandler(lowerCAmelCase)


   def       UpperCAmelCase		(    self	:      List[str]      ,					lowerCAmelCase	:      Union[str, Any])						->					List[Any]:




         """simple docstring"""

         lowercase__  =	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):
                     lowercase__  =	run_glue_deebert.main()
                     for value in result.values():
                           self.assertGreaterEqual(lowerCAmelCase      ,					0.6_66)



   @slow
   @require_torch_non_multi_gpu
   def       UpperCAmelCase		(    self	:      Optional[Any])						->					Union[str, Any]:




         """simple docstring"""

         lowercase__  =	'\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)

         lowercase__  =	'\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)

         lowercase__  =	'\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)
