


"""simple docstring"""







import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser
def  a__      (    SCREAMING_SNAKE_CASE   :   Dict    ):


  '''simple docstring'''







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


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

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

lowerCAmelCase__				    =       time.time()
lowerCAmelCase__				    =       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")

lowerCAmelCase__				    =       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 typing import Any


class 				SCREAMING_SNAKE_CASE__    :
       """simple docstring"""


       def __init__(						self		,					snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[Any]								=							data
         lowerCAmelCase					:					Tuple								=							None


class 				SCREAMING_SNAKE_CASE__    :
       """simple docstring"""


       def __init__(						self						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[int]								=							None

       def 	lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase					:					Optional[Any]								=							self.head
         while temp is not None:
           print(temp.data		,					end=" "						)
           lowerCAmelCase					:					List[str]								=							temp.next
         print()

       def 	lowercase__							(						self		,					snake_case__						):






         """simple docstring"""





         lowerCAmelCase					:					int								=							Node(snake_case__						)
         lowerCAmelCase					:					Union[str, Any]								=							self.head
         lowerCAmelCase					:					Optional[Any]								=							new_node







       def 	lowercase__							(						self		,					snake_case__		,					snake_case__						):






         """simple docstring"""





         if node_data_a == node_data_a:
           return
         else:
           lowerCAmelCase					:					str								=							self.head
           while node_a is not None and node_a.data != node_data_a:
             lowerCAmelCase					:					Union[str, Any]								=							node_a.next

           lowerCAmelCase					:					Any								=							self.head
           while node_a is not None and node_a.data != node_data_a:
             lowerCAmelCase					:					List[Any]								=							node_a.next

           if node_a is None or node_a is None:
             return

           lowerCAmelCase						,  lowerCAmelCase					:					str								=							node_a.data, node_a.data


if __name__ == "__main__":
     lowerCAmelCase__				    =       LinkedList()
     for i in range(5, 0, -1):
          ll.push(i)

     ll.print_list()

     ll.swap_nodes(1, 4)
     print('''After swapping''')
     ll.print_list()





