



"""simple docstring"""







import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer

def       _lowerCamelCase				(							UpperCAmelCase_ :       Optional[int],	UpperCAmelCase_ :       Tuple,	UpperCAmelCase_ :       str,	UpperCAmelCase_ :       Any=1024     )	-> List[Any]:






	"""simple docstring"""





	A__							,							A__											=					[], []

	A__											=					list(zip(UpperCAmelCase_,	UpperCAmelCase_     )     )
	A__							,							A__											=					sorted_examples[0]

	def is_too_big(UpperCAmelCase_ :       str     ):
		return tok(UpperCAmelCase_,	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(UpperCAmelCase_     ) or is_too_big(UpperCAmelCase_     ):  # cant fit, finalize example
			finished_src.append(UpperCAmelCase_     )
			finished_tgt.append(UpperCAmelCase_     )
			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(UpperCAmelCase_     )
		finished_tgt.append(UpperCAmelCase_     )
	return finished_src, finished_tgt

def       _lowerCamelCase				(							UpperCAmelCase_ :       Union[str, Any],	UpperCAmelCase_ :       Path,	UpperCAmelCase_ :       int,	UpperCAmelCase_ :       Dict     )	-> str:






	"""simple docstring"""





	A__											=					Path(UpperCAmelCase_     )
	save_path.mkdir(exist_ok=UpperCAmelCase_     )
	for split in ["train"]:
		A__							,							A__											=					data_dir / F"""{split}.source""", data_dir / F"""{split}.target"""
		A__											=					[x.rstrip() for x in Path(UpperCAmelCase_     ).open().readlines()]
		A__											=					[x.rstrip() for x in Path(UpperCAmelCase_     ).open().readlines()]
		A__							,							A__											=					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"]:
		A__							,							A__											=					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       _lowerCamelCase				(							)	-> Union[str, Any]:






	"""simple docstring"""





	A__											=					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=128     )
	parser.add_argument("--data_dir",	type=UpperCAmelCase_     )
	parser.add_argument("--save_path",	type=UpperCAmelCase_     )
	A__											=					parser.parse_args()
	A__											=					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()






'''simple docstring'''





SCREAMING_SNAKE_CASE     =       {
    """meter""": """m""",
    """kilometer""": """km""",
    """megametre""": """Mm""",
    """gigametre""": """Gm""",
    """terametre""": """Tm""",
    """petametre""": """Pm""",
    """exametre""": """Em""",
    """zettametre""": """Zm""",
    """yottametre""": """Ym""",
}
# Exponent of the factor(meter)
SCREAMING_SNAKE_CASE     =       {
    """m""": 0,
    """km""": 3,
    """Mm""": 6,
    """Gm""": 9,
    """Tm""": 1_2,
    """Pm""": 1_5,
    """Em""": 1_8,
    """Zm""": 2_1,
    """Ym""": 2_4,
}







def snake_case_     (					lowercase__   ,       lowercase__   ,       lowercase__		):
  UpperCAmelCase__      :					str				       =							from_type.lower().strip("s"		)
  UpperCAmelCase__      :					Any				       =							to_type.lower().strip("s"		)

  UpperCAmelCase__      :					Union[str, Any]				       =							UNIT_SYMBOL.get(lowercase__   ,       lowercase__		)
  UpperCAmelCase__      :					Any				       =							UNIT_SYMBOL.get(lowercase__   ,       lowercase__		)

  if from_sanitized not in METRIC_CONVERSION:
    UpperCAmelCase__      :					str				       =							(
        F"""Invalid 'from_type' value: {from_type!r}.\n"""
        F"""Conversion abbreviations are: {", ".join(lowercase__		)}"""
    )
    raise ValueError(lowercase__		)
  if to_sanitized not in METRIC_CONVERSION:
    UpperCAmelCase__      :					List[str]				       =							(
        F"""Invalid 'to_type' value: {to_type!r}.\n"""
        F"""Conversion abbreviations are: {", ".join(lowercase__		)}"""
    )
    raise ValueError(lowercase__		)
  UpperCAmelCase__      :					Optional[int]				       =							METRIC_CONVERSION[from_sanitized]
  UpperCAmelCase__      :					str				       =							METRIC_CONVERSION[to_sanitized]
  UpperCAmelCase__      :					Tuple				       =							1

  if from_exponent > to_exponent:
    UpperCAmelCase__      :					Tuple				       =							from_exponent - to_exponent
  else:
    UpperCAmelCase__      :					Optional[int]				       =							-(to_exponent - from_exponent)

  return value * pow(1_0   ,       lowercase__		)


if __name__ == "__main__":
      from doctest import testmod

      testmod()



