



import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer


def 		_UpperCAmelCase				(      snake_case	,						snake_case	,						snake_case	,						snake_case=10_24			):





					"""simple docstring"""

					_lowerCAmelCase	,	_lowerCAmelCase						=    [], []

					_lowerCAmelCase						=    list(zip(snake_case	,						snake_case			)			)
					_lowerCAmelCase	,	_lowerCAmelCase						=    sorted_examples[0]

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

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

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


def 		_UpperCAmelCase				(      snake_case	,						snake_case	,						snake_case	,						snake_case			):





					"""simple docstring"""

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


def 		_UpperCAmelCase				(      ):





					"""simple docstring"""

					_lowerCAmelCase						=    argparse.ArgumentParser()
					parser.add_argument("""--tok_name"""	,						type=snake_case	,						help="""like facebook/bart-large-cnn,t5-base, etc."""			)
					parser.add_argument("""--max_seq_len"""	,						type=snake_case	,						default=1_28			)
					parser.add_argument("""--data_dir"""	,						type=snake_case			)
					parser.add_argument("""--save_path"""	,						type=snake_case			)
					_lowerCAmelCase						=    parser.parse_args()
					_lowerCAmelCase						=    AutoTokenizer.from_pretrained(args.tok_name			)
					return pack_data_dir(snake_case	,						Path(args.data_dir			)	,						args.max_seq_len	,						args.save_path			)


if __name__ == "__main__":
	packer_cli()










def 		lowerCAmelCase_    (  __UpperCAmelCase:			float		,   __UpperCAmelCase:			int      )      ->	float:
    if digit_amount > 0:
        return round(number - int(__UpperCAmelCase      )		,   __UpperCAmelCase      )
    return number - int(__UpperCAmelCase      )


if __name__ == "__main__":
  print(decimal_isolate(1.53, 0))
  print(decimal_isolate(35.345, 1))
  print(decimal_isolate(35.345, 2))
  print(decimal_isolate(35.345, 3))
  print(decimal_isolate(-14.789, 3))
  print(decimal_isolate(0, 2))
  print(decimal_isolate(-14.123, 1))
  print(decimal_isolate(-14.123, 2))
  print(decimal_isolate(-14.123, 3))

