





"""simple docstring"""






import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer

def      __A   (      a_    :Any ,							a_    :Optional[int] ,							a_    :str ,							a_    :Optional[Any]=10_24)		->		Dict:
				__a							,    __a			:    int      							=	[], []

				__a			:    Optional[Any]      							=	list(zip(a_ ,							a_))
				__a							,    __a			:    int      							=	sorted_examples[0]

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

				for src, tgt in tqdm(sorted_examples[1:]):
								__a			:    int      							=	new_src + ''' ''' + src
								__a			:    Optional[int]      							=	new_tgt + ''' ''' + tgt
								if is_too_big(a_) or is_too_big(a_):  # cant fit, finalize example
												finished_src.append(a_)
												finished_tgt.append(a_)
												__a							,    __a			:    List[str]      							=	src, tgt
								else:  # can fit, keep adding
												__a							,    __a			:    Dict      							=	cand_src, cand_tgt

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

def      __A   (      a_    :Any ,							a_    :Path ,							a_    :int ,							a_    :int)		->		Optional[int]:
				__a			:    Tuple      							=	Path(a_)
				save_path.mkdir(exist_ok=a_)
				for split in ["train"]:
								__a							,    __a			:    Optional[int]      							=	data_dir / F"""{split}.source""", data_dir / F"""{split}.target"""
								__a			:    Optional[Any]      							=	[x.rstrip() for x in Path(a_).open().readlines()]
								__a			:    Union[str, Any]      							=	[x.rstrip() for x in Path(a_).open().readlines()]
								__a							,    __a			:    Optional[int]      							=	pack_examples(a_ ,							a_ ,							a_ ,							a_)
								print(F"""packed {split} split from {len(a_)} examples -> {len(a_)}.""")
								Path(save_path / F"""{split}.source""").open('''w''').write('''\n'''.join(a_))
								Path(save_path / F"""{split}.target""").open('''w''').write('''\n'''.join(a_))
				for split in ["val", "test"]:
								__a							,    __a			:    List[str]      							=	data_dir / F"""{split}.source""", data_dir / F"""{split}.target"""
								shutil.copyfile(a_ ,							save_path / F"""{split}.source""")
								shutil.copyfile(a_ ,							save_path / F"""{split}.target""")

def      __A   (      )		->		Dict:
				__a			:    List[str]      							=	argparse.ArgumentParser()
				parser.add_argument('''--tok_name''' ,							type=a_ ,							help='''like facebook/bart-large-cnn,t5-base, etc.''')
				parser.add_argument('''--max_seq_len''' ,							type=a_ ,							default=1_28)
				parser.add_argument('''--data_dir''' ,							type=a_)
				parser.add_argument('''--save_path''' ,							type=a_)
				__a			:    Tuple      							=	parser.parse_args()
				__a			:    Union[str, Any]      							=	AutoTokenizer.from_pretrained(args.tok_name)
				return pack_data_dir(a_ ,							Path(args.data_dir) ,							args.max_seq_len ,							args.save_path)


if __name__ == "__main__":
		packer_cli()






def   __lowerCamelCase   (				__a  :Optional[Any]       )						->							Tuple:






		"""simple docstring"""

		A__     =  len(__a       )
		while cur > 1:
				# Find the maximum number in arr
				A__     =  arr.index(max(arr[0:cur]       )       )
				# Reverse from 0 to mi
				A__     =  arr[mi::-1] + arr[mi + 1 : len(__a       )]
				# Reverse whole list
				A__     =  arr[cur - 1 :: -1] + arr[cur : len(__a       )]
				cur -= 1
		return arr


if __name__ == "__main__":
					A       :   List[str]					= input('''Enter numbers separated by a comma:\n''').strip()
					A       :   int					= [int(item) for item in user_input.split(''',''')]
					print(pancake_sort(unsorted))



