






"""simple docstring"""






def       _A    (__a							)				-> str:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_   :						Any							=	0

    # if input_string is "aba" than new_input_string become "a|b|a"
    SCREAMING_SNAKE_CASE_   :						str							=	''''''
    SCREAMING_SNAKE_CASE_   :						str							=	''''''

    # append each character + "|" in new_string for range(0, length-1)
    for i in input_string[: len(__a							) - 1]:
        new_input_string += i + "|"
    # append last character
    new_input_string += input_string[-1]

    # we will store the starting and ending of previous furthest ending palindromic
    # substring
    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_   :						Any							=	0, 0

    # length[i] shows the length of palindromic substring with center i
    SCREAMING_SNAKE_CASE_   :						Any							=	[1 for i in range(len(__a							)							)]

    # for each character in new_string find corresponding palindromic string
    SCREAMING_SNAKE_CASE_   :						List[Any]							=	0
    for j in range(len(__a							)							):
        SCREAMING_SNAKE_CASE_   :						List[str]							=	1 if j > r else min(length[l + r - j] // 2					,       r - j + 1							)
        while (
            j - k >= 0
            and j + k < len(__a							)
            and new_input_string[k + j] == new_input_string[j - k]
        ):
            k += 1

        SCREAMING_SNAKE_CASE_   :						int							=	2 * k - 1

        # does this string is ending after the previously explored end (that is r) ?
        # if yes the update the new r to the last index of this
        if j + k - 1 > r:
            SCREAMING_SNAKE_CASE_   :						str							=	j - k + 1  # noqa: E741
            SCREAMING_SNAKE_CASE_   :						str							=	j + k - 1

        # update max_length and start position
        if max_length < length[j]:
            SCREAMING_SNAKE_CASE_   :						Tuple							=	length[j]
            SCREAMING_SNAKE_CASE_   :						Optional[int]							=	j

    # create that string
    SCREAMING_SNAKE_CASE_   :						str							=	new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
    for i in s:
        if i != "|":
            output_string += i

    return output_string


if __name__ == "__main__":
  import doctest

  doctest.testmod()










"""simple docstring"""






import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser



def       _A    (__a							)				-> Optional[int]:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	{}
    SCREAMING_SNAKE_CASE_   :						List[Any]							=	tokenizer(example['''content''']					,       truncation=__a							)['''input_ids''']
    SCREAMING_SNAKE_CASE_   :						List[Any]							=	len(example['''content''']							) / len(output['''input_ids''']							)
    return output


UpperCAmelCase_     :				Tuple         =				HfArgumentParser(PretokenizationArguments)
UpperCAmelCase_     :				Tuple         =				parser.parse_args()
if args.num_workers is None:
  UpperCAmelCase_     :				Tuple         =				multiprocessing.cpu_count()
UpperCAmelCase_     :				str         =				AutoTokenizer.from_pretrained(args.tokenizer_dir)

UpperCAmelCase_     :				Tuple         =				time.time()
UpperCAmelCase_     :				List[Any]         =				load_dataset(args.dataset_name, split="""train""")
print(f'''Dataset loaded in {time.time()-t_start:.2f}s''')

UpperCAmelCase_     :				Dict         =				time.time()
UpperCAmelCase_     :				Dict         =				ds.map(
    tokenize,
    num_proc=args.num_workers,
    remove_columns=[
        """repo_name""",
        """path""",
        """copies""",
        """size""",
        """content""",
        """license""",
        """hash""",
        """line_mean""",
        """line_max""",
        """alpha_frac""",
        """autogenerated""",
    ],
)
print(f'''Dataset tokenized in {time.time()-t_start:.2f}s''')

UpperCAmelCase_     :				str         =				time.time()
ds.push_to_hub(args.tokenized_data_repo)





print(f'''Data pushed to the hub in {time.time()-t_start:.2f}s''')


