


'''simple docstring'''
from pathlib import Path

import fire
from tqdm import tqdm

def 					lowerCamelCase_ ( __UpperCamelCase					:       Optional[int]="ro"							,    __UpperCamelCase					:       Dict="en"							,    __UpperCamelCase					:       Union[str, Any]="wmt16"							,    __UpperCamelCase					:       Optional[Any]=None		)					->	None:







     """simple docstring"""
     try:
          import datasets
     except (ModuleNotFoundError, ImportError):
          raise ImportError('run pip install datasets'		)
     _A				=							F'{src_lang}-{tgt_lang}'
     print(F'Converting {dataset}-{pair}'		)
     _A				=							datasets.load_dataset(__UpperCamelCase							,    __UpperCamelCase		)
     if save_dir is None:
          _A				=							F'{dataset}-{pair}'
     _A				=							Path(__UpperCamelCase		)
     save_dir.mkdir(exist_ok=__UpperCamelCase		)

     for split in ds.keys():
          print(F'Splitting {split} with {ds[split].num_rows} records'		)

          # to save to val.source, val.target like summary datasets
          _A				=							'val' if split == 'validation' else split
          _A				=							save_dir.joinpath(F'{fn}.source'		)
          _A				=							save_dir.joinpath(F'{fn}.target'		)
          _A				=							src_path.open('w+'		)
          _A				=							tgt_path.open('w+'		)

          # reader is the bottleneck so writing one record at a time doesn't slow things down
          for x in tqdm(ds[split]		):
               _A				=							x['translation']
               src_fp.write(ex[src_lang] + '\n'		)
               tgt_fp.write(ex[tgt_lang] + '\n'		)

     print(F'Saved {dataset} dataset to {save_dir}'		)


if __name__ == "__main__":
    fire.Fire(download_wmt_dataset)









'''simple docstring'''
def 					lowerCamelCase_ ( __UpperCamelCase					:       int		)					->	list:







     """simple docstring"""
     _A				=							int(__UpperCamelCase		)
     if n_element < 1:
          _A				=							ValueError('a should be a positive number'		)
          raise my_error

     _A				=							[1]
     _A		,				_A		,				_A				=							(0, 0, 0)
     _A				=							1
     while index < n_element:
          while hamming_list[i] * 2 <= hamming_list[-1]:
               i += 1
          while hamming_list[j] * 3 <= hamming_list[-1]:
               j += 1
          while hamming_list[k] * 5 <= hamming_list[-1]:
               k += 1
          hamming_list.append(
              min(hamming_list[i] * 2							,    hamming_list[j] * 3							,    hamming_list[k] * 5		)		)
          index += 1
     return hamming_list


if __name__ == "__main__":
    lowerCAmelCase						=					input("""Enter the last number (nth term) of the Hamming Number Series: """)
    print("""Formula of Hamming Number Series => 2^i * 3^j * 5^k""")
    lowerCAmelCase						=					hamming(int(n))
    print("""-----------------------------------------------------""")
    print(F'The list with nth numbers is: {hamming_numbers}')
    print("""-----------------------------------------------------""")





