

import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase=10_24   ):
						SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			str  		=	[], []

						SCREAMING_SNAKE_CASE_:			List[str]  		=	list(zip(_UpperCAmelCase    ,     _UpperCAmelCase   )   )
						SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	sorted_examples[0]

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

						for src, tgt in tqdm(sorted_examples[1:]   ):
												SCREAMING_SNAKE_CASE_:			str  		=	new_src + " " + src
												SCREAMING_SNAKE_CASE_:			Tuple  		=	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   )
																		SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			int  		=	src, tgt
												else:  # can fit, keep adding
																		SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			List[str]  		=	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       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			List[str]  		=	Path(_UpperCAmelCase   )
						save_path.mkdir(exist_ok=_UpperCAmelCase   )
						for split in ["train"]:
												SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	data_dir / f"{split}.source", data_dir / f"{split}.target"
												SCREAMING_SNAKE_CASE_:			Tuple  		=	[x.rstrip() for x in Path(_UpperCAmelCase   ).open().readlines()]
												SCREAMING_SNAKE_CASE_:			List[Any]  		=	[x.rstrip() for x in Path(_UpperCAmelCase   ).open().readlines()]
												SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			List[str]  		=	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"]:
												SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			List[Any]  		=	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       A_				(   ):
						SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	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=1_28   )
						parser.add_argument("--data_dir"    ,     type=_UpperCAmelCase   )
						parser.add_argument("--save_path"    ,     type=_UpperCAmelCase   )
						SCREAMING_SNAKE_CASE_:			Tuple  		=	parser.parse_args()
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	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()









import os

# Precomputes a list of the 100 first triangular numbers
lowerCAmelCase							:  Optional[int]            =						[int(0.5 * n * (n + 1)) for n in range(1, 101)]







def       A_				(   ):
						SCREAMING_SNAKE_CASE_:			List[str]  		=	os.path.dirname(os.path.realpath(_UpperCAmelCase   )   )
						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	os.path.join(_UpperCAmelCase    ,     "words.txt"   )

						SCREAMING_SNAKE_CASE_:			Dict  		=	""
						with open(_UpperCAmelCase   ) as f:
												SCREAMING_SNAKE_CASE_:			int  		=	f.readline()

						SCREAMING_SNAKE_CASE_:			Optional[int]  		=	[word.strip("\""   ) for word in words.strip("\r\n"   ).split(","   )]
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	[
						    word
						    for word in [sum(ord(_UpperCAmelCase   ) - 64 for x in word   ) for word in words]
						    if word in TRIANGULAR_NUMBERS
						]
						return len(_UpperCAmelCase   )


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






