
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           =   10

def a__    (       A_,     A_,     A_,     A_					):






  '''simple docstring'''





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

def a__    (       A_,     A_					):






  '''simple docstring'''





  __magic_name__				     =       0
  __magic_name__				     =       len(A_					)
  while left <= right:
    if right - left < precision:
      return lin_search(A_,     A_,     A_,     A_					)

    __magic_name__				     =       (left + right) // 3 + 1
    __magic_name__				     =       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]:
      __magic_name__				     =       one_third - 1
    elif array[two_third] < target:
      __magic_name__				     =       two_third + 1

    else:
      __magic_name__				     =       one_third + 1
      __magic_name__				     =       two_third - 1
  else:
    return -1

def a__    (       A_,     A_,     A_,     A_					):






  '''simple docstring'''





  if left < right:
    if right - left < precision:
      return lin_search(A_,     A_,     A_,     A_					)
    __magic_name__				     =       (left + right) // 3 + 1
    __magic_name__				     =       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(A_,     one_third - 1,     A_,     A_					)
    elif array[two_third] < target:
      return rec_ternary_search(two_third + 1,     A_,     A_,     A_					)
    else:
      return rec_ternary_search(one_third + 1,     two_third - 1,     A_,     A_					)
  else:
    return -1


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    __lowerCAmelCase			:     Dict           =   input('Enter numbers separated by comma:\n').strip()
    __lowerCAmelCase			:     Optional[int]           =   [int(item.strip()) for item in user_input.split(',')]
    assert collection == sorted(collection), F"List must be ordered.\n{collection}."
    __lowerCAmelCase			:     str           =   int(input('Enter the number to be found in the list:\n').strip())
    __lowerCAmelCase			:     Optional[int]           =   ite_ternary_search(collection, target)
    __lowerCAmelCase			:     Optional[int]           =   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 pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu




@require_cpu
class        UpperCAmelCase_			( unittest.TestCase     ):


  '''simple docstring'''







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







    """simple docstring"""






    __magic_name__				     =       torch.nn.Linear(10			,							10    )
    __magic_name__				     =       torch.optim.SGD(model.parameters()			,							0.1    )
    __magic_name__				     =       Accelerator()
    __magic_name__				     =       accelerator.prepare(UpperCamelCase__    )
    try:
      pickle.loads(pickle.dumps(UpperCamelCase__    )    )
    except Exception as e:
      self.fail(F'''Accelerated optimizer pickling failed with {e}'''    )
    AcceleratorState._reset_state()

