





import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer







def       UpperCAmelCase							(     _lowerCamelCase      :  List[str]			,   _lowerCamelCase      :  Optional[Any]			,   _lowerCamelCase      :  Dict			,   _lowerCamelCase      :  Any=1_024     ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__,							SCREAMING_SNAKE_CASE__     :				Optional[int]   =					[], []

						SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					list(zip(_lowerCamelCase			,   _lowerCamelCase     )     )
						SCREAMING_SNAKE_CASE__,							SCREAMING_SNAKE_CASE__     :				List[Any]   =					sorted_examples[0]

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

						for src, tgt in tqdm(sorted_examples[1:]     ):
												SCREAMING_SNAKE_CASE__     :				int   =					new_src + " " + src
												SCREAMING_SNAKE_CASE__     :				str   =					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     )
																		SCREAMING_SNAKE_CASE__,							SCREAMING_SNAKE_CASE__     :				Optional[int]   =					src, tgt
												else:  # can fit, keep adding
																		SCREAMING_SNAKE_CASE__,							SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					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       UpperCAmelCase							(     _lowerCamelCase      :  List[Any]			,   _lowerCamelCase      :  Path			,   _lowerCamelCase      :  Optional[Any]			,   _lowerCamelCase      :  Optional[Any]     ):





						'''simple docstring'''


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





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__     :				Dict   =					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     )
						SCREAMING_SNAKE_CASE__     :				List[str]   =					parser.parse_args()
						SCREAMING_SNAKE_CASE__     :				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

from fractions import Fraction







def       UpperCAmelCase							(     _lowerCamelCase      :  int			,   _lowerCamelCase      :  int     ):





						'''simple docstring'''


						return (
						    num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
						)







def       UpperCAmelCase							(     _lowerCamelCase      :  int     ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__     :				int   =					[]
						SCREAMING_SNAKE_CASE__     :				str   =					11
						SCREAMING_SNAKE_CASE__     :				Any   =					int("1" + "0" * digit_len     )
						for num in range(_lowerCamelCase			,   _lowerCamelCase     ):
												while den <= 99:
																		if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
																								if is_digit_cancelling(_lowerCamelCase			,   _lowerCamelCase     ):
																														solutions.append(f"""{num}/{den}"""     )
																		den += 1
												num += 1
												SCREAMING_SNAKE_CASE__     :				str   =					10
						return solutions







def       UpperCAmelCase							(     _lowerCamelCase      :  int = 2     ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__     :				Optional[int]   =					1.0
						for fraction in fraction_list(_lowerCamelCase     ):
												SCREAMING_SNAKE_CASE__     :				Any   =					Fraction(_lowerCamelCase     )
												result *= frac.denominator / frac.numerator
						return int(_lowerCamelCase     )


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