"""simple docstring"""




from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       Optional[Any]	)       ->      Tuple:
  return getitem, k





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       List[Any]			,_lowerCamelCase						:       Dict	)       ->      Optional[Any]:
  return setitem, k, v





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int	)       ->      Tuple:
  return delitem, k





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       str			,_lowerCamelCase						:       Optional[int]			,*_lowerCamelCase						:       str	)       ->      List[Any]:
  try:
    return fun(_lowerCamelCase			,*_lowerCamelCase	), None
  except Exception as e:
    return None, e


_a      :		Union[str, Any]           =   (
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
)

_a      :		Optional[Any]           =   [
    _set('key_a', 'val_a'),
    _set('key_a', 'val_b'),
]

_a      :		Dict           =   [
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
    _del('key_a'),
    _del('key_b'),
    _set('key_a', 'val_a'),
    _del('key_a'),
]

_a      :		Union[str, Any]           =   [
    _get('key_a'),
    _del('key_a'),
    _set('key_a', 'val_a'),
    _del('key_a'),
    _del('key_a'),
    _get('key_a'),
]

_a      :		int           =   [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

_a      :		Tuple           =   [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set('key_a', 'val_b'),
]





@pytest.mark.parametrize(
    """operations"""			,(
        pytest.param(_add_items			,id="""add items"""	),
        pytest.param(_overwrite_items			,id="""overwrite items"""	),
        pytest.param(_delete_items			,id="""delete items"""	),
        pytest.param(_access_absent_items			,id="""access absent items"""	),
        pytest.param(_add_with_resize_up			,id="""add with resize up"""	),
        pytest.param(_add_with_resize_down			,id="""add with resize down"""	),
    )			,)
def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       List[Any]	)       ->      Optional[int]:
  _lowerCAmelCase						:       Dict  			=     HashMap(initial_block_size=4	)
  _lowerCAmelCase						:       Optional[Any]  			=     {}
  for _, (fun, *args) in enumerate(_lowerCamelCase	):
    _lowerCAmelCase			,	_lowerCAmelCase						:       List[Any]  			=     _run_operation(_lowerCamelCase			,_lowerCamelCase			,*_lowerCamelCase	)
    _lowerCAmelCase			,	_lowerCAmelCase						:       Optional[int]  			=     _run_operation(_lowerCamelCase			,_lowerCamelCase			,*_lowerCamelCase	)
    assert my_res == py_res
    assert str(_lowerCamelCase	) == str(_lowerCamelCase	)
    assert set(_lowerCamelCase	) == set(_lowerCamelCase	)
    assert len(_lowerCamelCase	) == len(_lowerCamelCase	)
    assert set(my.items()	) == set(py.items()	)






def 							SCREAMING_SNAKE_CASE     (			)       ->      List[Any]:
  def is_public(_lowerCamelCase						:       List[str]	) -> bool:
    return not name.startswith("""_"""	)

  _lowerCAmelCase						:       Any  			=     {name for name in dir({}	) if is_public(_lowerCamelCase	)}
  _lowerCAmelCase						:       Dict  			=     {name for name in dir(HashMap()	) if is_public(_lowerCamelCase	)}

  assert dict_public_names > hash_public_names





"""simple docstring"""






import requests
from bsa import BeautifulSoup



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							BeautifulSoup(requests.get(lowerCamelCase					,			params=lowerCamelCase       ).content					,			'html.parser'       )
				UpperCAmelCase__             =							soup.find('div'					,			attrs={'class': 'gs_ri'}       )
				UpperCAmelCase__             =							div.find('div'					,			attrs={'class': 'gs_fl'}       ).find_all('a'       )
				return anchors[2].get_text()


if __name__ == "__main__":
						lowerCAmelCase__  :  Optional[int]						     =	{
						    'title': (
						        'Precisely geometry controlled microsupercapacitors for ultrahigh areal '
						        'capacitance, volumetric capacitance, and energy density'
						    ),
						    'journal': 'Chem. Mater.',
						    'volume': 30,
						    'pages': '3979-3990',
						    'year': 2_018,
						    'hl': 'en',
						}
						print(get_citation('https://scholar.google.com/scholar_lookup', params=params))



