






"""simple docstring"""



import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser




def      _lowerCAmelCase		(							UpperCAmelCase__       :					List[str]      )		->str:
						A__						:  Tuple		  =  {}
						A__						:  Union[str, Any]		  =  tokenizer(example["""content"""],						truncation=UpperCAmelCase__      )["""input_ids"""]
						A__						:  Any		  =  len(example["""content"""]      ) / len(output["""input_ids"""]      )
						return output


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

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

A_    =							time.time()
A_    =							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')

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

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














"""simple docstring"""



def      _lowerCAmelCase		(							UpperCAmelCase__       :					str,						UpperCAmelCase__       :					List[Any]      )		->List[Any]:
						A__						:  Union[str, Any]		  =  [1]
						for i in range(2,						UpperCAmelCase__      ):
												factorials.append(factorials[-1] * i      )
						assert 0 <= k < factorials[-1] * n, "k out of bounds"

						A__						:  Optional[int]		  =  []
						A__						:  List[str]		  =  list(range(UpperCAmelCase__      )      )

						# Find permutation
						while factorials:
												A__						:  Optional[int]		  =  factorials.pop()
												A__  ,  A__						:  Optional[int]		  =  divmod(UpperCAmelCase__,						UpperCAmelCase__      )
												permutation.append(elements[number]      )
												elements.remove(elements[number]      )
						permutation.append(elements[0]      )

						return permutation


if __name__ == "__main__":
						import doctest

						doctest.testmod()






