

'''simple docstring'''







from pathlib import Path

import fire
from tqdm import tqdm
def  UpperCAmelCase__      ( UpperCAmelCase__="ro",    UpperCAmelCase__="en",    UpperCAmelCase__="wmt16",    UpperCAmelCase__=None			)     ->     None:
       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  UpperCAmelCase__      ( UpperCAmelCase__,    UpperCAmelCase__			)     ->     bool:
       A_		   = len(UpperCAmelCase__			)
       A_		   = [[False] * (required_sum + 1) for _ in range(arr_len + 1			)]

       # for each arr value, a sum of zero(0) can be formed by not taking any element
       # hence True/1
       for i in range(arr_len + 1			):
              A_		   = True

       # sum is not zero and set is empty then false
       for i in range(1,    required_sum + 1			):
              A_		   = False

       for i in range(1,    arr_len + 1			):
              for j in range(1,    required_sum + 1			):
                     if arr[i - 1] > j:
                            A_		   = subset[i - 1][j]
                     if arr[i - 1] <= j:
                            A_		   = subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

       return subset[arr_len][required_sum]


if __name__ == "__main__":
      import doctest

      doctest.testmod()
