
import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer



def 		lowercase_    (     A__				,	A__				,	A__				,	A__=1024	)							->							Dict:
    """simple docstring"""

    snake_case				  =      [], []

    snake_case				  =      list(zip(UpperCAmelCase__				,	UpperCAmelCase__	)	)
    snake_case				  =      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:]	):
        snake_case				  =      new_src + """ """ + src
        snake_case				  =      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__	)
            snake_case				  =      src, tgt
        else:  # can fit, keep adding
            snake_case				  =      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 		lowercase_    (     A__				,	A__				,	A__				,	A__	)							->							Union[str, Any]:
    """simple docstring"""

    snake_case				  =      Path(UpperCAmelCase__	)
    save_path.mkdir(exist_ok=UpperCAmelCase__	)
    for split in ["train"]:
        snake_case				  =      data_dir / F'{split}.source', data_dir / F'{split}.target'
        snake_case				  =      [x.rstrip() for x in Path(UpperCAmelCase__	).open().readlines()]
        snake_case				  =      [x.rstrip() for x in Path(UpperCAmelCase__	).open().readlines()]
        snake_case				  =      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"]:
        snake_case				  =      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 		lowercase_    (     )							->							Tuple:
    """simple docstring"""

    snake_case				  =      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=128	)
    parser.add_argument("--data_dir"				,	type=UpperCAmelCase__	)
    parser.add_argument("--save_path"				,	type=UpperCAmelCase__	)
    snake_case				  =      parser.parse_args()
    snake_case				  =      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()



def 		lowercase_    (     A__ = 1000	)							->							int:
    """simple docstring"""

    snake_case				  =      -1
    snake_case				  =      0
    for a in range(1				,	n // 3	):
        # Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
        snake_case				  =      (n * n - 2 * a * n) // (2 * n - 2 * a)
        snake_case				  =      n - a - b
        if c * c == (a * a + b * b):
            snake_case				  =      a * b * c
            if candidate >= product:
                snake_case				  =      candidate
    return product


if __name__ == "__main__":
   print(f"{solution() = }")

