


"""simple docstring"""





from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url


@pytest.mark.parametrize('''repo_id''' ,   ['''canonical_dataset_name''', '''org-name/dataset-name''']			)
@pytest.mark.parametrize('''path''' ,   ['''filename.csv''', '''filename with blanks.csv''']			)
@pytest.mark.parametrize('''revision''' ,   [None, '''v2''']			)
def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			List[Any] ,   _snake_case				:			Union[str, Any]			):
      lowerCAmelCase					:	int       =   hf_hub_url(repo_id=_snake_case ,   path=_snake_case ,   revision=_snake_case			)
      assert url == f'''https://huggingface.co/datasets/{repo_id}/resolve/{revision or "main"}/{quote(_snake_case			)}'''






"""simple docstring"""





from __future__ import annotations


def      _snake_case						(						_snake_case				:			list[int] ,   _snake_case				:			int			):
      if len(_snake_case			) == 0:
            return False
      lowerCAmelCase					:	List[Any]       =   len(_snake_case			) // 2
      if a_list[midpoint] == item:
            return True
      if item < a_list[midpoint]:
            return binary_search(a_list[:midpoint] ,   _snake_case			)
      else:
            return binary_search(a_list[midpoint + 1 :] ,   _snake_case			)


if __name__ == "__main__":
 snake_case__		:     List[str]    				=				input('''Enter numbers separated by comma:\n''').strip()
 snake_case__		:     Optional[int]    				=				[int(item.strip()) for item in user_input.split(''',''')]
 snake_case__		:     Dict    				=				int(input('''Enter the number to be found in the list:\n''').strip())
 snake_case__		:     str    				=				'''''' if binary_search(sequence, target) else '''not '''
 print(f"""{target} was {not_str}found in {sequence}""")


