



import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			Optional[int]				,     _SCREAMING_SNAKE_CASE       :			List[Any]=1024    ):
				"""simple docstring"""







				__a     ,					__a       =		[], []

				__a       =		list(zip(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )    )
				__a     ,					__a       =		sorted_examples[0]

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

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

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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			int				,     _SCREAMING_SNAKE_CASE       :			Path				,     _SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			Optional[int]    ):
				"""simple docstring"""







				__a       =		Path(_SCREAMING_SNAKE_CASE    )
				save_path.mkdir(exist_ok=_SCREAMING_SNAKE_CASE    )
				for split in ["train"]:
								__a     ,					__a       =		data_dir / f"{split}.source", data_dir / f"{split}.target"
								__a       =		[x.rstrip() for x in Path(_SCREAMING_SNAKE_CASE    ).open().readlines()]
								__a       =		[x.rstrip() for x in Path(_SCREAMING_SNAKE_CASE    ).open().readlines()]
								__a     ,					__a       =		pack_examples(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )
								print(f"packed {split} split from {len(_SCREAMING_SNAKE_CASE    )} examples -> {len(_SCREAMING_SNAKE_CASE    )}."    )
								Path(save_path / f"{split}.source"    ).open("""w"""    ).write("""\n""".join(_SCREAMING_SNAKE_CASE    )    )
								Path(save_path / f"{split}.target"    ).open("""w"""    ).write("""\n""".join(_SCREAMING_SNAKE_CASE    )    )
				for split in ["val", "test"]:
								__a     ,					__a       =		data_dir / f"{split}.source", data_dir / f"{split}.target"
								shutil.copyfile(_SCREAMING_SNAKE_CASE				,     save_path / f"{split}.source"    )
								shutil.copyfile(_SCREAMING_SNAKE_CASE				,     save_path / f"{split}.target"    )

def   lowerCAmelCase__						(							):
				"""simple docstring"""







				__a       =		argparse.ArgumentParser()
				parser.add_argument("""--tok_name"""				,     type=_SCREAMING_SNAKE_CASE				,     help="""like facebook/bart-large-cnn,t5-base, etc."""    )
				parser.add_argument("""--max_seq_len"""				,     type=_SCREAMING_SNAKE_CASE				,     default=128    )
				parser.add_argument("""--data_dir"""				,     type=_SCREAMING_SNAKE_CASE    )
				parser.add_argument("""--save_path"""				,     type=_SCREAMING_SNAKE_CASE    )
				__a       =		parser.parse_args()
				__a       =		AutoTokenizer.from_pretrained(args.tok_name    )
				return pack_data_dir(_SCREAMING_SNAKE_CASE				,     Path(args.data_dir    )				,     args.max_seq_len				,     args.save_path    )


if __name__ == "__main__":
						packer_cli()





import os

def   lowerCAmelCase__						(							):
				"""simple docstring"""







				__a       =		os.path.dirname(os.path.realpath(_SCREAMING_SNAKE_CASE    )    )
				__a       =		os.path.join(_SCREAMING_SNAKE_CASE				,     """triangle.txt"""    )

				with open(_SCREAMING_SNAKE_CASE    ) as f:
								__a       =		f.readlines()

				__a       =		[]
				for line in triangle:
								__a       =		[]
								for number in line.strip().split(""" """    ):
												numbers_from_line.append(int(_SCREAMING_SNAKE_CASE    )    )
								a.append(_SCREAMING_SNAKE_CASE    )

				for i in range(1				,     len(_SCREAMING_SNAKE_CASE    )    ):
								for j in range(len(a[i]    )    ):
												__a       =		a[i - 1][j] if j != len(a[i - 1]    ) else 0
												__a       =		a[i - 1][j - 1] if j > 0 else 0
												a[i][j] += max(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )
				return max(a[-1]    )


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