






import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser




def      lowercase__      (     __snake_case    :							Dict  ):


					'''simple docstring'''


					UpperCAmelCase_    :      int            =						{}
					UpperCAmelCase_    :      Tuple            =						tokenizer(example['content']     ,       truncation=__snake_case  )['input_ids']
					UpperCAmelCase_    :      List[Any]            =						len(example['content']  ) / len(output['input_ids']  )
					return output


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

__UpperCAmelCase								=						time.time()
__UpperCAmelCase								=						load_dataset(args.dataset_name, split='train')
print(F'Dataset loaded in {time.time()-t_start:.2f}s')

__UpperCAmelCase								=						time.time()
__UpperCAmelCase								=						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								=						time.time()
ds.push_to_hub(args.tokenized_data_repo)






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









def 		_lowercase (     lowercase__   ,	lowercase__						):
      if a < 0 or b < 0:
            raise ValueError('''the value of both inputs must be positive'''						)
      __lowerCAmelCase					:						int					=					str(bin(lowercase__						)						)[2:]  # remove the leading "0b"
      __lowerCAmelCase					:						Any					=					str(bin(lowercase__						)						)[2:]
      __lowerCAmelCase					:						List[str]					=					max(len(lowercase__						)   ,	len(lowercase__						)						)
      return "0b" + "".join(
          str(int('''1''' in (char_a, char_b)						)						)
          for char_a, char_b in zip(a_binary.zfill(lowercase__						)   ,	b_binary.zfill(lowercase__						)						)						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()


