



'''simple docstring'''





import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer






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





				'''simple docstring'''

				lowerCAmelCase__  :       Optional[int]				=  [], []

				lowerCAmelCase__  :       Union[str, Any]				=  list(zip(lowerCamelCase_ ,lowerCamelCase_))
				lowerCAmelCase__  :       Union[str, Any]				=  sorted_examples[0]

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

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





				'''simple docstring'''

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





				'''simple docstring'''

				lowerCAmelCase__  :       Optional[int]				=  str(lowerCamelCase_)
				return len(lowerCamelCase_) == 9 and set(lowerCamelCase_) == set('''123456789''')






def 			lowerCAmelCase__	(					):





				'''simple docstring'''

				for base_num in range(9999 ,4999 ,-1):
								lowerCAmelCase__  :       Union[str, Any]				=  100002 * base_num
								if is_9_pandigital(lowerCamelCase_):
												return candidate

				for base_num in range(333 ,99 ,-1):
								lowerCAmelCase__  :       Any				=  1002003 * base_num
								if is_9_pandigital(lowerCamelCase_):
												return candidate

				return None


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

