



import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer






def 			lowerCAmelCase__	(					lowerCamelCase_	:	Optional[Any] ,lowerCamelCase_	:	int ,lowerCamelCase_	:	List[Any] ,lowerCamelCase_	:	Union[str, Any]=1024):





    '''simple docstring'''

    lowerCAmelCase__		,	lowerCAmelCase__  :       List[str]				=  [], []

    lowerCAmelCase__  :       Tuple				=  list(zip(lowerCamelCase_ ,lowerCamelCase_))
    lowerCAmelCase__		,	lowerCAmelCase__  :       Optional[Any]				=  sorted_examples[0]

    def is_too_big(lowerCamelCase_	:	Tuple):
        return tok(lowerCamelCase_ ,return_tensors='''pt''').input_ids.shape[1] > max_tokens

    for src, tgt in tqdm(sorted_examples[1:]):
        lowerCAmelCase__  :       Tuple				=  new_src + ''' ''' + src
        lowerCAmelCase__  :       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_)
            lowerCAmelCase__		,	lowerCAmelCase__  :       List[Any]				=  src, tgt
        else:  # can fit, keep adding
            lowerCAmelCase__		,	lowerCAmelCase__  :       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 			lowerCAmelCase__	(					lowerCamelCase_	:	List[str] ,lowerCamelCase_	:	Path ,lowerCamelCase_	:	Union[str, Any] ,lowerCamelCase_	:	Optional[int]):





    '''simple docstring'''

    lowerCAmelCase__  :       List[str]				=  Path(lowerCamelCase_)
    save_path.mkdir(exist_ok=lowerCamelCase_)
    for split in ["train"]:
        lowerCAmelCase__		,	lowerCAmelCase__  :       Any				=  data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
        lowerCAmelCase__  :       Tuple				=  [x.rstrip() for x in Path(lowerCamelCase_).open().readlines()]
        lowerCAmelCase__  :       Optional[int]				=  [x.rstrip() for x in Path(lowerCamelCase_).open().readlines()]
        lowerCAmelCase__		,	lowerCAmelCase__  :       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"]:
        lowerCAmelCase__		,	lowerCAmelCase__  :       List[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 			lowerCAmelCase__	(					):





    '''simple docstring'''

    lowerCAmelCase__  :       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_)
    lowerCAmelCase__  :       Optional[int]				=  parser.parse_args()
    lowerCAmelCase__  :       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()






from __future__ import annotations






def 			lowerCAmelCase__	(					lowerCamelCase_	:	list[int]):





				'''simple docstring'''

				return len(set(lowerCamelCase_)) == len(lowerCamelCase_)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

