
from unittest.mock import patch

import datasets
from datasets import Dataset







def 				A__    (  )     ->		List[str]:
				UpperCamelCase_:							List[Any]		=  Dataset.from_dict({"""col_1""": [3, 2, 0, 1]}  )

				with patch("""tqdm.auto.tqdm"""  ) as mock_tqdm:
								datasets.disable_progress_bar()
								dset.map(lambda lowerCamelCase  : {"col_2": x["col_1"] + 1}  )
								mock_tqdm.assert_not_called()

								mock_tqdm.reset_mock()

								datasets.enable_progress_bar()
								dset.map(lambda lowerCamelCase  : {"col_2": x["col_1"] + 1}  )
								mock_tqdm.assert_called()








def 				A__    (  lowerCamelCase = 20  )     ->		int:

				try:
								UpperCamelCase_:							int		=  int(lowerCamelCase  )
				except (TypeError, ValueError):
								raise TypeError("""Parameter n must be int or castable to int."""  )
				if n <= 0:
								raise ValueError("""Parameter n must be greater than or equal to one."""  )
				UpperCamelCase_:							Any		=  0
				while 1:
								i += n * (n - 1)
								UpperCamelCase_:							List[Any]		=  0
								for j in range(2   ,			lowerCamelCase  ):
												if i % j != 0:
																UpperCamelCase_:							Union[str, Any]		=  1
																break
								if nfound == 0:
												if i == 0:
																UpperCamelCase_:							List[str]		=  1
												return i
				return None


if __name__ == "__main__":
							print(F"""{solution() = }""")






