



'''simple docstring'''






from pathlib import Path

import fire
from tqdm import tqdm


def  snake_case_     (					_lowerCAmelCase  :						int="ro"   ,      _lowerCAmelCase  :						Dict="en"   ,      _lowerCAmelCase  :						Union[str, Any]="wmt16"   ,      _lowerCAmelCase  :						Optional[int]=None  )      ->   None:
							try:
														import datasets
							except (ModuleNotFoundError, ImportError):
														raise ImportError('''run pip install datasets'''  )
							UpperCAmelCase :       Tuple 							=		f"""{src_lang}-{tgt_lang}"""
							print(f"""Converting {dataset}-{pair}"""  )
							UpperCAmelCase :       int 							=		datasets.load_dataset(_lowerCAmelCase   ,      _lowerCAmelCase  )
							if save_dir is None:
														UpperCAmelCase :       Optional[int] 							=		f"""{dataset}-{pair}"""
							UpperCAmelCase :       str 							=		Path(_lowerCAmelCase  )
							save_dir.mkdir(exist_ok=_lowerCAmelCase  )

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









import sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

snake_case				:    Union[str, Any]       				=     '''python tqdm regex requests packaging filelock numpy tokenizers'''.split()
if sys.version_info < (3, 7):
     pkgs_to_check_at_runtime.append('''dataclasses''')
if sys.version_info < (3, 8):
     pkgs_to_check_at_runtime.append('''importlib_metadata''')

for pkg in pkgs_to_check_at_runtime:
     if pkg in deps:
          if pkg == "tokenizers":
               # must be loaded here, or else tqdm check may fail
               from .utils import is_tokenizers_available

               if not is_tokenizers_available():
                    continue  # not required, check version only if installed

          require_version_core(deps[pkg])
     else:
          raise ValueError(F"""can't find {pkg} in {deps.keys()}, check dependency_versions_table.py""")
def 				__lowerCamelCase						( UpperCAmelCase_						:		Any ,  UpperCAmelCase_						:		Optional[int]=None						):




      """simple docstring"""





      require_version(deps[pkg] ,  UpperCAmelCase_						)





