
"""simple docstring"""




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer



def 							a__ (				lowerCAmelCase	:       int       ,    lowerCAmelCase	:       Dict       ,    lowerCAmelCase	:       Tuple       ,    lowerCAmelCase	:       Union[str, Any]=1024		):






     '''simple docstring'''
     UpperCAmelCase__							,	UpperCAmelCase__							: List[Any] 							=						[], []

     UpperCAmelCase__							: Optional[Any] 							=						list(zip(lowerCAmelCase       ,    lowerCAmelCase		)		)
     UpperCAmelCase__							,	UpperCAmelCase__							: Optional[int] 							=						sorted_examples[0]

     def is_too_big(lowerCAmelCase	:       List[Any]		):
          return tok(lowerCAmelCase       ,    return_tensors="pt"		).input_ids.shape[1] > max_tokens

     for src, tgt in tqdm(sorted_examples[1:]		):
          UpperCAmelCase__							: Tuple 							=						new_src + " " + src
          UpperCAmelCase__							: str 							=						new_tgt + " " + tgt
          if is_too_big(lowerCAmelCase		) or is_too_big(lowerCAmelCase		):  # cant fit, finalize example
               finished_src.append(lowerCAmelCase		)
               finished_tgt.append(lowerCAmelCase		)
               UpperCAmelCase__							,	UpperCAmelCase__							: int 							=						src, tgt
          else:  # can fit, keep adding
               UpperCAmelCase__							,	UpperCAmelCase__							: int 							=						cand_src, cand_tgt

    # cleanup
     if new_src:
          assert new_tgt
          finished_src.append(lowerCAmelCase		)
          finished_tgt.append(lowerCAmelCase		)
     return finished_src, finished_tgt



def 							a__ (				lowerCAmelCase	:       Optional[Any]       ,    lowerCAmelCase	:       Path       ,    lowerCAmelCase	:       Optional[Any]       ,    lowerCAmelCase	:       Any		):






     '''simple docstring'''
     UpperCAmelCase__							: List[Any] 							=						Path(lowerCAmelCase		)
     save_path.mkdir(exist_ok=lowerCAmelCase		)
     for split in ["train"]:
          UpperCAmelCase__							,	UpperCAmelCase__							: Dict 							=						data_dir / F"{split}.source", data_dir / F"{split}.target"
          UpperCAmelCase__							: Any 							=						[x.rstrip() for x in Path(lowerCAmelCase		).open().readlines()]
          UpperCAmelCase__							: str 							=						[x.rstrip() for x in Path(lowerCAmelCase		).open().readlines()]
          UpperCAmelCase__							,	UpperCAmelCase__							: int 							=						pack_examples(lowerCAmelCase       ,    lowerCAmelCase       ,    lowerCAmelCase       ,    lowerCAmelCase		)
          print(F"packed {split} split from {len(lowerCAmelCase		)} examples -> {len(lowerCAmelCase		)}."		)
          Path(save_path / F"{split}.source"		).open("w"		).write("\n".join(lowerCAmelCase		)		)
          Path(save_path / F"{split}.target"		).open("w"		).write("\n".join(lowerCAmelCase		)		)
     for split in ["val", "test"]:
          UpperCAmelCase__							,	UpperCAmelCase__							: List[str] 							=						data_dir / F"{split}.source", data_dir / F"{split}.target"
          shutil.copyfile(lowerCAmelCase       ,    save_path / F"{split}.source"		)
          shutil.copyfile(lowerCAmelCase       ,    save_path / F"{split}.target"		)



def 							a__ (				):






     '''simple docstring'''
     UpperCAmelCase__							: List[str] 							=						argparse.ArgumentParser()
     parser.add_argument("--tok_name"       ,    type=lowerCAmelCase       ,    help="like facebook/bart-large-cnn,t5-base, etc."		)
     parser.add_argument("--max_seq_len"       ,    type=lowerCAmelCase       ,    default=128		)
     parser.add_argument("--data_dir"       ,    type=lowerCAmelCase		)
     parser.add_argument("--save_path"       ,    type=lowerCAmelCase		)
     UpperCAmelCase__							: str 							=						parser.parse_args()
     UpperCAmelCase__							: Dict 							=						AutoTokenizer.from_pretrained(args.tok_name		)
     return pack_data_dir(lowerCAmelCase       ,    Path(args.data_dir		)       ,    args.max_seq_len       ,    args.save_path		)


if __name__ == "__main__":
    packer_cli()





"""simple docstring"""




from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url







class   _lowercase						(       lowerCAmelCase_				):


     '''simple docstring'''





     _A								=							''
     _A								=							'hf-legacy'  # "hf://"" is reserved for hffs



     def __init__(      self ,			__UpperCamelCase = None ,			__UpperCamelCase = None ,			**__UpperCamelCase ,			)->					str:
          super().__init__(self ,			**__UpperCamelCase  )
          UpperCAmelCase__							: int 							=						repo_info
          UpperCAmelCase__							: Optional[int] 							=						token
          UpperCAmelCase__							: Optional[Any] 							=						None



     def  lowerCAmelCase__       (      self  )->					Optional[Any]:
          if self.dir_cache is None:
               UpperCAmelCase__							: str 							=						{}
               for hf_file in self.repo_info.siblings:
                    # TODO(QL): add sizes
                    UpperCAmelCase__							: str 							=						{
                        "name": hf_file.rfilename,
                        "size": None,
                        "type": "file",
                    }
                    self.dir_cache.update(
                        {
                            str(__UpperCamelCase  ): {"name": str(__UpperCamelCase  ), "size": None, "type": "directory"}
                            for d in list(PurePosixPath(hf_file.rfilename  ).parents  )[:-1]
                        }  )



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase = "rb" ,			**__UpperCamelCase ,			)->					List[Any]:
          if not isinstance(self.repo_info ,			__UpperCamelCase  ):
               raise NotImplementedError(F"Open is only implemented for dataset repositories, but got {self.repo_info}"  )
          UpperCAmelCase__							: Union[str, Any] 							=						hf_hub_url(self.repo_info.id ,			__UpperCamelCase ,			revision=self.repo_info.sha  )
          return fsspec.open(
              __UpperCamelCase ,			mode=__UpperCamelCase ,			headers=get_authentication_headers_for_url(__UpperCamelCase ,			use_auth_token=self.token  ) ,			client_kwargs={"trust_env": True} ,			).open()



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			**__UpperCamelCase  )->					List[str]:
          self._get_dirs()
          UpperCAmelCase__							: Union[str, Any] 							=						self._strip_protocol(__UpperCamelCase  )
          if path in self.dir_cache:
               return self.dir_cache[path]
          else:
               raise FileNotFoundError(__UpperCamelCase  )



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase=False ,			**__UpperCamelCase  )->					str:
          self._get_dirs()
          UpperCAmelCase__							: str 							=						PurePosixPath(path.strip("/"  )  )
          UpperCAmelCase__							: Optional[Any] 							=						{}
          for p, f in self.dir_cache.items():
               UpperCAmelCase__							: Optional[int] 							=						PurePosixPath(p.strip("/"  )  )
               UpperCAmelCase__							: Dict 							=						p.parent
               if root == path:
                    UpperCAmelCase__							: Tuple 							=						f
          UpperCAmelCase__							: List[Any] 							=						list(paths.values()  )
          if detail:
               return out
          else:
               return sorted(f["name"] for f in out  )



