





"""simple docstring"""






import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer






def      lowercase__ (					lowerCAmelCase__   :			Any							,			lowerCAmelCase__   :			Optional[int]							,			lowerCAmelCase__   :			Any							,			lowerCAmelCase__   :			Tuple=1_0_2_4			)    ->			List[str]:



			'''simple docstring'''
			a__ ,	a__  :	Union[str, Any]		 =			[], []

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

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

			for src, tgt in tqdm(sorted_examples[1:]			):
						a__  :	str		 =			new_src + " " + src
						a__  :	Optional[Any]		 =			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__			)
									a__ ,	a__  :	List[Any]		 =			src, tgt
						else:  # can fit, keep adding
									a__ ,	a__  :	List[str]		 =			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      lowercase__ (					lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			Path							,			lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			Optional[int]			)    ->			int:



			'''simple docstring'''
			a__  :	Optional[int]		 =			Path(lowerCAmelCase__			)
			save_path.mkdir(exist_ok=lowerCAmelCase__			)
			for split in ["train"]:
						a__ ,	a__  :	Dict		 =			data_dir / F"{split}.source", data_dir / F"{split}.target"
						a__  :	Optional[int]		 =			[x.rstrip() for x in Path(lowerCAmelCase__			).open().readlines()]
						a__  :	List[Any]		 =			[x.rstrip() for x in Path(lowerCAmelCase__			).open().readlines()]
						a__ ,	a__  :	List[str]		 =			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"]:
						a__ ,	a__  :	str		 =			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      lowercase__ (					)    ->			List[str]:



			'''simple docstring'''
			a__  :	Any		 =			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=1_2_8			)
			parser.add_argument("--data_dir"							,			type=lowerCAmelCase__			)
			parser.add_argument("--save_path"							,			type=lowerCAmelCase__			)
			a__  :	Optional[Any]		 =			parser.parse_args()
			a__  :	List[str]		 =			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()






"""simple docstring"""






import os






def      lowercase__ (					)    ->			Optional[Any]:



			'''simple docstring'''
			with open(os.path.dirname(lowerCAmelCase__			) + "/p022_names.txt"			) as file:
						a__  :	Optional[int]		 =			str(file.readlines()[0]			)
						a__  :	Optional[int]		 =			names.replace("\""							,			""			).split(","			)

			names.sort()

			a__  :	int		 =			0
			a__  :	Dict		 =			0

			for i, name in enumerate(lowerCAmelCase__			):
						for letter in name:
									name_score += ord(lowerCAmelCase__			) - 6_4

						total_score += (i + 1) * name_score
						a__  :	Tuple		 =			0
			return total_score


if __name__ == "__main__":
		print(solution())