
'''simple docstring'''






import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser







def 		A_       (	_lowerCAmelCase   :    Union[str, Any]							):



      """simple docstring"""




      _lowerCamelCase				:   int								=   {}
      _lowerCamelCase				:   Optional[Any]								=   tokenizer(example["content"]				,	truncation=_lowerCAmelCase							)["input_ids"]
      _lowerCamelCase				:   Any								=   len(example["content"]							) / len(output["input_ids"]							)
      return output


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

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

UpperCAmelCase_       :   Dict   =       time.time()
UpperCAmelCase_       :   List[Any]   =       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_       :   int   =       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'''






import random
from typing import Any







def 		A_       (	_lowerCAmelCase   :    list							):



      """simple docstring"""




      for _ in range(len(_lowerCAmelCase							)							):
            _lowerCamelCase				:   Any								=   random.randint(0				,	len(_lowerCAmelCase							) - 1							)
            _lowerCamelCase				:   List[str]								=   random.randint(0				,	len(_lowerCAmelCase							) - 1							)
            _lowerCamelCase						,		_lowerCamelCase				:   Union[str, Any]								=   data[b], data[a]
      return data


if __name__ == "__main__":
 UpperCAmelCase_       :   Any   =       [0, 1, 2, 3, 4, 5, 6, 7]
 UpperCAmelCase_       :   Dict   =       ['python', 'says', 'hello', '!']
 print('Fisher-Yates Shuffle:')
 print('List', integers, strings)
 print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))