"""simple docstring"""





import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer





def 				a_     (      _lowerCAmelCase  : Tuple   , _lowerCAmelCase  : List[str]   , _lowerCAmelCase  : str   , _lowerCAmelCase  : str=1024     ):





       '''simple docstring'''

       lowercase__    ,      lowercase__			:		Any       =	[], []

       lowercase__			:		str       =	list(zip(_lowerCAmelCase   , _lowerCAmelCase     )     )
       lowercase__    ,      lowercase__			:		List[str]       =	sorted_examples[0]

       def is_too_big(_lowerCAmelCase  : int     ):
              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__			:		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     )
                     lowercase__    ,      lowercase__			:		Any       =	src, tgt
              else:  # can fit, keep adding
                     lowercase__    ,      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 				a_     (      _lowerCAmelCase  : Tuple   , _lowerCAmelCase  : Path   , _lowerCAmelCase  : Dict   , _lowerCAmelCase  : Union[str, Any]     ):





       '''simple docstring'''

       lowercase__			:		Dict       =	Path(_lowerCAmelCase     )
       save_path.mkdir(exist_ok=_lowerCAmelCase     )
       for split in ["train"]:
              lowercase__    ,      lowercase__			:		Dict       =	data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
              lowercase__			:		Tuple       =	[x.rstrip() for x in Path(_lowerCAmelCase     ).open().readlines()]
              lowercase__			:		Union[str, Any]       =	[x.rstrip() for x in Path(_lowerCAmelCase     ).open().readlines()]
              lowercase__    ,      lowercase__			:		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"]:
              lowercase__    ,      lowercase__			:		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'''

       lowercase__			:		List[Any]       =	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__			:		List[str]       =	parser.parse_args()
       lowercase__			:		Tuple       =	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 _SCREAMING_SNAKE_CASE      (A  , A       )       ->       list[list[int]]:






       """simple docstring"""







       lowercase__      			= []
       create_all_state(1  , A  , A  , []  , A       )
       return result

def _SCREAMING_SNAKE_CASE      (A  , A  , A  , A  , A  , )       ->       None:






       """simple docstring"""







       if level == 0:
              total_list.append(current_list[:]       )
              return

       for i in range(A  , total_number - level + 2       ):
              current_list.append(A       )
              create_all_state(i + 1  , A  , level - 1  , A  , A       )
              current_list.pop()

def _SCREAMING_SNAKE_CASE      (A       )       ->       None:






       """simple docstring"""







       for i in total_list:
              print(*A       )


if __name__ == "__main__":
 lowerCamelCase							:   Tuple  						=	4
 lowerCamelCase							:   Union[str, Any]  						=	2
 lowerCamelCase							:   Dict  						=	generate_all_combinations(n, k)
 print_all_state(total_list)




