





from pathlib import Path

import fire
from tqdm import tqdm





def  __magic_name__  (				lowercase="ro"				,       lowercase="en"				,       lowercase="wmt16"				,       lowercase=None				)				-> None:

							"""simple docstring"""



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

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






UpperCAmelCase_							=				{"""a""": ["""c""", """b"""], """b""": ["""d""", """e"""], """c""": [], """d""": [], """e""": []}
UpperCAmelCase_							=				["""a""", """b""", """c""", """d""", """e"""]





def  __magic_name__  (				lowercase				,       lowercase				,       lowercase				)				-> Union[str, Any]:

							"""simple docstring"""



							lowercase_	:   Tuple  				=     start
							# add current to visited
							visited.append(lowercase				)
							lowercase_	:   Any  				=     edges[current]
							for neighbor in neighbors:
														# if neighbor not in visited, visit
														if neighbor not in visited:
																					lowercase_	:   List[str]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # if all neighbors visited add current to sort
							sort.append(lowercase				)
							# if all vertices haven't been visited select a new one to visit
							if len(lowercase				) != len(lowercase				):
														for vertice in vertices:
																					if vertice not in visited:
																												lowercase_	:   Optional[Any]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # return sort
							return sort


if __name__ == "__main__":
							UpperCAmelCase_							=				topological_sort("""a""", [], [])
							print(sort)