


"""simple docstring"""
from pathlib import Path

import fire
from tqdm import tqdm






def 		lowercase							(     _snake_case						:      int="ro"     ,   _snake_case						:      Dict="en"     ,   _snake_case						:      int="wmt16"     ,   _snake_case						:      List[str]=None     )     ->None:
	"""simple docstring"""





	try:
		import datasets
	except (ModuleNotFoundError, ImportError):
		raise ImportError('''run pip install datasets'''     )
	__snake_case	:						Union[str, Any]						=				f"""{src_lang}-{tgt_lang}"""
	print(f"""Converting {dataset}-{pair}"""     )
	__snake_case	:						Optional[Any]						=				datasets.load_dataset(_snake_case     ,   _snake_case     )
	if save_dir is None:
		__snake_case	:						int						=				f"""{dataset}-{pair}"""
	__snake_case	:						Union[str, Any]						=				Path(_snake_case     )
	save_dir.mkdir(exist_ok=_snake_case     )

	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
		__snake_case	:						Union[str, Any]						=				'''val''' if split == '''validation''' else split
		__snake_case	:						List[str]						=				save_dir.joinpath(f"""{fn}.source"""     )
		__snake_case	:						int						=				save_dir.joinpath(f"""{fn}.target"""     )
		__snake_case	:						Union[str, Any]						=				src_path.open('''w+'''     )
		__snake_case	:						Union[str, Any]						=				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]     ):
			__snake_case	:						List[str]						=				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'''




import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs
@pytest.mark.parametrize(
    "kwargs, expected"			,     [
        ({"num_shards": 0, "max_num_jobs": 1}, []),
        ({"num_shards": 10, "max_num_jobs": 1}, [range(10       )]),
        ({"num_shards": 10, "max_num_jobs": 10}, [range(__lowercase			,     i + 1       ) for i in range(10       )]),
        ({"num_shards": 1, "max_num_jobs": 10}, [range(1       )]),
        ({"num_shards": 10, "max_num_jobs": 3}, [range(0			,     4       ), range(4			,     7       ), range(7			,     10       )]),
        ({"num_shards": 3, "max_num_jobs": 10}, [range(0			,     1       ), range(1			,     2       ), range(2			,     3       )]),
    ]			,     )
def 	UpperCAmelCase_							(					__lowercase							:      int			,     __lowercase							:      Dict       )		->       List[Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   _distribute_shards(**__lowercase       )
     assert out == expected
@pytest.mark.parametrize(
    "gen_kwargs, max_num_jobs, expected"			,     [
        ({"foo": 0}, 10, [{"foo": 0}]),
        ({"shards": [0, 1, 2, 3]}, 1, [{"shards": [0, 1, 2, 3]}]),
        ({"shards": [0, 1, 2, 3]}, 4, [{"shards": [0]}, {"shards": [1]}, {"shards": [2]}, {"shards": [3]}]),
        ({"shards": [0, 1]}, 4, [{"shards": [0]}, {"shards": [1]}]),
        ({"shards": [0, 1, 2, 3]}, 2, [{"shards": [0, 1]}, {"shards": [2, 3]}]),
    ]			,     )
def 	UpperCAmelCase_							(					__lowercase							:      Dict			,     __lowercase							:      Optional[Any]			,     __lowercase							:      int       )		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   _split_gen_kwargs(__lowercase			,     __lowercase       )
     assert out == expected






@pytest.mark.parametrize(
    "gen_kwargs, expected"			,     [
        ({"foo": 0}, 1),
        ({"shards": [0]}, 1),
        ({"shards": [0, 1, 2, 3]}, 4),
        ({"shards": [0, 1, 2, 3], "foo": 0}, 4),
        ({"shards": [0, 1, 2, 3], "other": (0, 1)}, 4),
        ({"shards": [0, 1, 2, 3], "shards2": [0, 1]}, RuntimeError),
    ]			,     )
def 	UpperCAmelCase_							(					__lowercase							:      Optional[Any]			,     __lowercase							:      List[Any]       )		->       List[Any]:


     '''simple docstring'''



     if expected is RuntimeError:
          with pytest.raises(__lowercase       ):
               _number_of_shards_in_gen_kwargs(__lowercase       )
     else:
          _UpperCAmelCase     							=   _number_of_shards_in_gen_kwargs(__lowercase       )
          assert out == expected




