
'''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'''






from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

UpperCAmelCase_       :   str   =       (3, 9, -11, 0, 7, 5, 1, -1)
UpperCAmelCase_       :   int   =       (4, 6, 2, 0, 8, 10, 3, -2)

@dataclass
class  UpperCAmelCase__						:
    lowerCAmelCase_				    =		42
    lowerCAmelCase_				    =		42


class  UpperCAmelCase__						:



    def __init__(	self      :       Optional[int],__A      :       Iterable[int]     ):
          _lowerCamelCase				:   Node | None								=   None
          for i in sorted(__A,reverse=__A     ):
                _lowerCamelCase				:   Dict								=   Node(__A,self.head     )



    def __iter__(	self      :       str     ):
          _lowerCamelCase				:   Dict								=   self.head
          while node:
                yield node.data
                _lowerCamelCase				:   Optional[Any]								=   node.next_node



    def __len__(	self      :       str     ):
          return sum(1 for _ in self     )



    def __str__(	self      :       str     ):
          return " -> ".join([str(__A     ) for node in self]     )







def 		A_       (	_lowerCAmelCase   :    SortedLinkedList				,	_lowerCAmelCase   :    SortedLinkedList							):



      """simple docstring"""




      return SortedLinkedList(list(_lowerCAmelCase							) + list(_lowerCAmelCase							)							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 UpperCAmelCase_       :   List[str]   =       SortedLinkedList
 print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))