




'''simple docstring'''


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.
_lowercase  =			10
def 						lowerCamelCase__   (				a    ,	a    ,	a    ,	a							):


						for i in range(_A    ,	_A							):
												if array[i] == target:
																		return i
						return -1
def 						lowerCamelCase__   (				a    ,	a							):
						__snake_case						 =   0
						__snake_case						 =   len(_A							)
						while left <= right:
												if right - left < precision:
																		return lin_search(_A    ,	_A    ,	_A    ,	_A							)

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

												else:
																		__snake_case						 =   one_third + 1
																		__snake_case						 =   two_third - 1
						else:
												return -1
def 						lowerCamelCase__   (				a    ,	a    ,	a    ,	a							):


						if left < right:
												if right - left < precision:
																		return lin_search(_A    ,	_A    ,	_A    ,	_A							)
												__snake_case						 =   (left + right) // 3 + 1
												__snake_case						 =   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()

	_lowercase  =			input("""Enter numbers separated by comma:\n""").strip()
	_lowercase  =			[int(item.strip()) for item in user_input.split(""",""")]
	assert collection == sorted(collection), f"List must be ordered.\n{collection}."
	_lowercase  =			int(input("""Enter the number to be found in the list:\n""").strip())
	_lowercase  =			ite_ternary_search(collection, target)
	_lowercase  =			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 os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		namedtuple(
    """_TestCommandArgs""",
    [
        """dataset""",
        """name""",
        """cache_dir""",
        """data_dir""",
        """all_configs""",
        """save_infos""",
        """ignore_verifications""",
        """force_redownload""",
        """clear_cache""",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)



def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 return (abs(source - target       ) / target) < 0.01






@pytest.mark.integration
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	_TestCommandArgs(dataset=_A				,					all_configs=_A				,					save_infos=_A       )
 __a							=	TestCommand(*_A       )
 test_command.run()
 __a							=	os.path.join(_A				,					"README.md"       )
 assert os.path.exists(_A       )
 __a							=	DatasetInfosDict.from_directory(_A       )
 __a							=	DatasetInfosDict(
     {
         "default": DatasetInfo(
             features=Features(
                 {
                     "tokens": Sequence(Value("string"       )       ),
                     "ner_tags": Sequence(
                         ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]       )       ),
                     "langs": Sequence(Value("string"       )       ),
                     "spans": Sequence(Value("string"       )       ),
                 }       )				,					splits=[
                 {
                     "name": "train",
                     "num_bytes": 235_1563,
                     "num_examples": 1_0000,
                 },
                 {
                     "name": "validation",
                     "num_bytes": 23_8418,
                     "num_examples": 1000,
                 },
             ]				,					download_size=394_0680				,					dataset_size=258_9981				,					)
     }       )
 assert dataset_infos.keys() == expected_dataset_infos.keys()
 for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
  __a							,  __a							=	getattr(dataset_infos["default"]				,					_A       ), getattr(expected_dataset_infos["default"]				,					_A       )
  if key == "num_bytes":
   assert is_apercent_close(_A				,					_A       )
  elif key == "splits":
   assert list(_A       ) == list(_A       )
   for split in result:
    assert result[split].name == expected[split].name
    assert result[split].num_examples == expected[split].num_examples
    assert is_apercent_close(result[split].num_bytes				,					expected[split].num_bytes       )
  else:
   result == expected


