
"""simple docstring"""



import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer


def  _UpperCamelCase	(						_A					,      _A					,      _A					,      _A=1_0_2_4      )    ->  Dict:





    """simple docstring"""

    _UpperCAmelCase          =   [], []

    _UpperCAmelCase          =   list(zip(UpperCAmelCase__					,      UpperCAmelCase__      )      )
    _UpperCAmelCase          =   sorted_examples[0]

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

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

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


def  _UpperCamelCase	(						_A					,      _A					,      _A					,      _A      )    ->  Union[str, Any]:





    """simple docstring"""

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


def  _UpperCamelCase	(						)    ->  Tuple:





    """simple docstring"""

    _UpperCAmelCase          =   argparse.ArgumentParser()
    parser.add_argument("""--tok_name"""					,      type=UpperCAmelCase__					,      help="""like facebook/bart-large-cnn,t5-base, etc."""      )
    parser.add_argument("""--max_seq_len"""					,      type=UpperCAmelCase__					,      default=1_2_8      )
    parser.add_argument("""--data_dir"""					,      type=UpperCAmelCase__      )
    parser.add_argument("""--save_path"""					,      type=UpperCAmelCase__      )
    _UpperCAmelCase          =   parser.parse_args()
    _UpperCAmelCase          =   AutoTokenizer.from_pretrained(args.tok_name      )
    return pack_data_dir(UpperCAmelCase__					,      Path(args.data_dir      )					,      args.max_seq_len					,      args.save_path      )


if __name__ == "__main__":
 packer_cli()

"""simple docstring"""



from __future__ import annotations


def  _UpperCamelCase	(						_A      )    ->  None:





    """simple docstring"""

    create_state_space_tree(_A					,      []					,      0					,      [0 for i in range(len(_A      )      )]      )


def  _UpperCamelCase	(						_A					,      _A					,      _A					,      _A					,      )    ->  None:





    """simple docstring"""

    if index == len(_A      ):
        print(_A      )
        return

    for i in range(len(_A      )      ):
        if not index_used[i]:
            current_sequence.append(sequence[i]      )
            _UpperCAmelCase          =   True
            create_state_space_tree(_A					,      _A					,      index + 1					,      _A      )
            current_sequence.pop()
            _UpperCAmelCase          =   False
a					:	list[int | str]							=		[3, 1, 2, 4]
generate_all_permutations(sequence)

a					:	list[int | str]							=		["A", "B", "C"]







generate_all_permutations(sequence_a)