
"""simple docstring"""




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer


def     __magic_name__      ( __snake_case							:			Optional[Any]	,					__snake_case							:			Dict	,					__snake_case							:			str	,					__snake_case							:			Dict=1024    )					->							List[str]:
       lowercase       :							int									=				[], []

       lowercase       :							List[str]									=				list(zip(_lowerCamelCase	,					_lowerCamelCase    )    )
       lowercase       :							Union[str, Any]									=				sorted_examples[0]

       def is_too_big(__snake_case							:			Dict    ):
              return tok(_lowerCamelCase	,					return_tensors="pt"    ).input_ids.shape[1] > max_tokens

       for src, tgt in tqdm(sorted_examples[1:]    ):
              lowercase       :							Union[str, Any]									=				new_src + """ """ + src
              lowercase       :							List[Any]									=				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    )
                     lowercase       :							Optional[int]									=				src, tgt
              else:  # can fit, keep adding
                     lowercase       :							Dict									=				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     __magic_name__      ( __snake_case							:			Union[str, Any]	,					__snake_case							:			Optional[Any]	,					__snake_case							:			Dict	,					__snake_case							:			Optional[Any]    )					->							Dict:
       lowercase       :							Optional[Any]									=				Path(_lowerCamelCase    )
       save_path.mkdir(exist_ok=_lowerCamelCase    )
       for split in ["train"]:
              lowercase       :							int									=				data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
              lowercase       :							Union[str, Any]									=				[x.rstrip() for x in Path(_lowerCamelCase    ).open().readlines()]
              lowercase       :							str									=				[x.rstrip() for x in Path(_lowerCamelCase    ).open().readlines()]
              lowercase       :							Optional[Any]									=				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"]:
              lowercase       :							Any									=				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     __magic_name__      ( )					->							int:
       lowercase       :							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    )
       lowercase       :							int									=				parser.parse_args()
       lowercase       :							List[str]									=				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 __future__ import annotations







def 					_a						(       _lowerCamelCase    ,	_lowerCamelCase = None    ,	_lowerCamelCase = None ) ->				None:



			"""simple docstring"""


			if start is None:
						__snake_case					:      Optional[Any]							      =     0

			if end is None:
						__snake_case					:      Optional[Any]							      =     len(_lowerCamelCase ) - 1

			if start >= end:
						return

			__snake_case					:      Tuple							      =     (start + end) // 2

			slowsort(_lowerCamelCase    ,	_lowerCamelCase    ,	_lowerCamelCase )
			slowsort(_lowerCamelCase    ,	mid + 1    ,	_lowerCamelCase )

			if sequence[end] < sequence[mid]:
						__snake_case      ,     __snake_case					:      str							      =     sequence[mid], sequence[end]

			slowsort(_lowerCamelCase    ,	_lowerCamelCase    ,	end - 1 )


if __name__ == "__main__":
	from doctest import testmod

	testmod()


