



'''simple docstring'''
from pathlib import Path

import fire
from tqdm import tqdm


def      lowercase_		(      lowerCAmelCase__		:     Optional[Any]="ro"	,							lowerCAmelCase__		:     str="en"	,							lowerCAmelCase__		:     Union[str, Any]="wmt16"	,							lowerCAmelCase__		:     Tuple=None       ):

			"""simple docstring"""





			try:
						import datasets
			except (ModuleNotFoundError, ImportError):
						raise ImportError("""run pip install datasets"""       )
			__UpperCAmelCase      :					Optional[Any]   =   f'{src_lang}-{tgt_lang}'
			print(f'Converting {dataset}-{pair}'       )
			__UpperCAmelCase      :					str   =   datasets.load_dataset(UpperCamelCase_	,							UpperCamelCase_       )
			if save_dir is None:
						__UpperCAmelCase      :					Optional[int]   =   f'{dataset}-{pair}'
			__UpperCAmelCase      :					Tuple   =   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
						__UpperCAmelCase      :					Optional[Any]   =   """val""" if split == """validation""" else split
						__UpperCAmelCase      :					int   =   save_dir.joinpath(f'{fn}.source'       )
						__UpperCAmelCase      :					List[Any]   =   save_dir.joinpath(f'{fn}.target'       )
						__UpperCAmelCase      :					Dict   =   src_path.open("""w+"""       )
						__UpperCAmelCase      :					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      :					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)







"""simple docstring"""





import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


_a       =							'__DUMMY_TRANSFORMERS_USER__'
_a       =							'Dummy User'
_a       =							'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'

_a       =							'https://hub-ci.huggingface.co'
_a       =							CI_HUB_ENDPOINT + '/datasets/{repo_id}/resolve/{revision}/{path}'
_a       =							CI_HUB_ENDPOINT + '/{repo_id}/resolve/{revision}/{filename}'
_a       =							Path('~/.huggingface/hub_ci_token').expanduser()




@pytest.fixture
def   _A  (  UpperCamelCase_     :       List[Any])	->						Tuple:
   '''simple docstring'''


   monkeypatch.setattr(
       "huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE",			UpperCamelCase_)




@pytest.fixture
def   _A  (  UpperCamelCase_     :       int)	->						List[Any]:
   '''simple docstring'''


   monkeypatch.setattr("datasets.config.HF_ENDPOINT",			UpperCamelCase_)
   monkeypatch.setattr("datasets.config.HUB_DATASETS_URL",			UpperCamelCase_)




@pytest.fixture
def   _A  (  UpperCamelCase_     :       str)	->						Dict:
   '''simple docstring'''


   monkeypatch.setattr("huggingface_hub.hf_api.HfFolder.path_token",			UpperCamelCase_)




@pytest.fixture
def   _A  (  UpperCamelCase_     :       Optional[Any],			UpperCamelCase_     :       List[Any])	->						List[str]:
   '''simple docstring'''


   HfFolder.save_token(UpperCamelCase_)
   yield
   HfFolder.delete_token()




@pytest.fixture(scope="session")
def   _A  (  )	->						List[Any]:
   '''simple docstring'''


   return HfApi(endpoint=UpperCamelCase_)




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi)	->						List[Any]:
   '''simple docstring'''


   __lowercase								=						HfFolder.get_token()
   HfFolder.save_token(UpperCamelCase_)
   yield CI_HUB_USER_TOKEN
   if previous_token is not None:
      HfFolder.save_token(UpperCamelCase_)




@pytest.fixture
def   _A  (  UpperCamelCase_     :       Dict)	->						int:
   '''simple docstring'''


   def _cleanup_repo(UpperCamelCase_     :       Optional[int]):
      hf_api.delete_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset")

   return _cleanup_repo




@pytest.fixture
def   _A  (  UpperCamelCase_     :       str)	->						Any:
   '''simple docstring'''


   @contextmanager
   def _temporary_repo(UpperCamelCase_     :       Any):
      try:
         yield repo_id
      finally:
         cleanup_repo(UpperCamelCase_)

   return _temporary_repo




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi,			UpperCamelCase_     :       str,			UpperCamelCase_     :       Optional[int])	->						List[Any]:
   '''simple docstring'''


   __lowercase								=						F"""repo_txt_data-{int(time.time() * 10E3)}"""
   __lowercase								=						F"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset",			private=UpperCamelCase_)
   hf_api.upload_file(
       token=UpperCamelCase_,			path_or_fileobj=str(UpperCamelCase_),			path_in_repo="data/text_data.txt",			repo_id=UpperCamelCase_,			repo_type="dataset",			)
   yield repo_id
   try:
      hf_api.delete_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset")
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass




@pytest.fixture()
def   _A  (  UpperCamelCase_     :       Tuple,			UpperCamelCase_     :       Any,			UpperCamelCase_     :       Dict)	->						Optional[int]:
   '''simple docstring'''


   return hf_private_dataset_repo_txt_data_




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi,			UpperCamelCase_     :       int,			UpperCamelCase_     :       Optional[int])	->						int:
   '''simple docstring'''


   __lowercase								=						F"""repo_zipped_txt_data-{int(time.time() * 10E3)}"""
   __lowercase								=						F"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset",			private=UpperCamelCase_)
   hf_api.upload_file(
       token=UpperCamelCase_,			path_or_fileobj=str(UpperCamelCase_),			path_in_repo="data.zip",			repo_id=UpperCamelCase_,			repo_type="dataset",			)
   yield repo_id
   try:
      hf_api.delete_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset")
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass




@pytest.fixture()
def   _A  (  UpperCamelCase_     :       List[str],			UpperCamelCase_     :       Dict,			UpperCamelCase_     :       Any)	->						int:
   '''simple docstring'''


   return hf_private_dataset_repo_zipped_txt_data_




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi,			UpperCamelCase_     :       List[str],			UpperCamelCase_     :       List[str])	->						List[Any]:
   '''simple docstring'''


   __lowercase								=						F"""repo_zipped_img_data-{int(time.time() * 10E3)}"""
   __lowercase								=						F"""{CI_HUB_USER}/{repo_name}"""
   hf_api.create_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset",			private=UpperCamelCase_)
   hf_api.upload_file(
       token=UpperCamelCase_,			path_or_fileobj=str(UpperCamelCase_),			path_in_repo="data.zip",			repo_id=UpperCamelCase_,			repo_type="dataset",			)
   yield repo_id
   try:
      hf_api.delete_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset")
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass




@pytest.fixture()
def   _A  (  UpperCamelCase_     :       Union[str, Any],			UpperCamelCase_     :       List[str],			UpperCamelCase_     :       List[str])	->						str:
   '''simple docstring'''


   return hf_private_dataset_repo_zipped_img_data_




