



import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Dict					):






 '''simple docstring'''

 a						=		{}
 a						=		tokenizer(example["content"] ,					truncation=UpperCAmelCase__					)["input_ids"]
 a						=		len(example["content"]					) / len(output["input_ids"]					)
 return output


A_		:     Tuple        =     HfArgumentParser(PretokenizationArguments)
A_		:     List[str]        =     parser.parse_args()
if args.num_workers is None:
     A_		:     Union[str, Any]        =     multiprocessing.cpu_count()
A_		:     Tuple        =     AutoTokenizer.from_pretrained(args.tokenizer_dir)

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

A_		:     Union[str, Any]        =     time.time()
A_		:     str        =     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_		:     Optional[Any]        =     time.time()
ds.push_to_hub(args.tokenized_data_repo)




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






from __future__ import annotations

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

A_		:     List[str]        =     (3, 9, -11, 0, 7, 5, 1, -1)
A_		:     Optional[int]        =     (4, 6, 2, 0, 8, 10, 3, -2)



@dataclass
class 		_lowercase		:
   _UpperCAmelCase     	=			42
   _UpperCAmelCase     	=			42



class 		_lowercase		:

   def __init__(      self			:       List[Any]							,   __lowerCAmelCase			:       Iterable[int]							)       ->				None:


    """simple docstring"""






    a						=		None
    for i in sorted(__lowerCAmelCase							,   reverse=__lowerCAmelCase							):
     a						=		Node(__lowerCAmelCase							,   self.head							)

   def __iter__(      self			:       Union[str, Any]							)       ->				Iterator[int]:


    """simple docstring"""






    a						=		self.head
    while node:
     yield node.data
     a						=		node.next_node

   def __len__(      self			:       Tuple							)       ->				int:


    """simple docstring"""






    return sum(1 for _ in self							)




   def __str__(      self			:       Union[str, Any]							)       ->				str:


    """simple docstring"""






    return " -> ".join([str(__lowerCAmelCase							) for node in self]							)


def 	UpperCAmelCase__      (      UpperCAmelCase__ :SortedLinkedList ,					UpperCAmelCase__ :SortedLinkedList					):






 '''simple docstring'''

 return SortedLinkedList(list(UpperCAmelCase__					) + list(UpperCAmelCase__					)					)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     A_		:     Optional[Any]        =     SortedLinkedList
     print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))

