

'''simple docstring'''




_lowerCAmelCase         =						[4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
_lowerCAmelCase         =						[3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
_lowerCAmelCase         =						{
    0: "Sunday",
    1: "Monday",
    2: "Tuesday",
    3: "Wednesday",
    4: "Thursday",
    5: "Friday",
    6: "Saturday",
}




def 						UpperCamelCase	(			a		,						a		,						a			)				->     List[str]:






     '''simple docstring'''
     assert len(str(A__			)			) > 2, "year should be in YYYY format"
     assert 1 <= month <= 12, "month should be between 1 to 12"
     assert 1 <= day <= 31, "day should be between 1 to 31"

     # Doomsday algorithm:
     __magic_name__						       =year // 100
     __magic_name__						       =(5 * (century % 4) + 2) % 7
     __magic_name__						       =year % 100
     __magic_name__						       =centurian % 12
     __magic_name__						       =(
         (centurian // 12) + centurian_m + (centurian_m // 4) + century_anchor
     ) % 7
     __magic_name__						       =(
         DOOMSDAY_NOT_LEAP[month - 1]
         if (year % 4 != 0) or (centurian == 0 and (year % 400) == 0)
         else DOOMSDAY_LEAP[month - 1]
     )
     __magic_name__						       =(dooms_day + day - day_anchor) % 7
     return WEEK_DAY_NAMES[week_day]


if __name__ == "__main__":
      import doctest

      doctest.testmod()









'''simple docstring'''




from pathlib import Path

import fire
from tqdm import tqdm




def 						UpperCamelCase	(			a="ro"		,						a="en"		,						a="wmt16"		,						a=None			)				->     None:






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

     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
          __magic_name__						       =    '''val''' if split == '''validation''' else split
          __magic_name__						       =    save_dir.joinpath(F'''{fn}.source'''			)
          __magic_name__						       =    save_dir.joinpath(F'''{fn}.target'''			)
          __magic_name__						       =    src_path.open('''w+'''			)
          __magic_name__						       =    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]			):
               __magic_name__						       =    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)






