






import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser



def     __lowercase					(    a :				int )					->					Optional[int]:
      __snake_case      :    List[str]  			={}
      __snake_case      :    str  			=tokenizer(example['''content''']       ,		truncation=_UpperCAmelCase )['''input_ids''']
      __snake_case      :    Optional[int]  			=len(example['''content'''] ) / len(output['''input_ids'''] )
      return output


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

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

UpperCamelCase_	:				Optional[Any]										= time.time()
UpperCamelCase_	:				Optional[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"""





def     __lowercase					(    a :				str       ,		a :				str )					->					str:
      __snake_case      :    int  			=len(a )
      __snake_case      :    int  			=len(a )
      __snake_case      :    int  			=(
          first_str_length if first_str_length > second_str_length else second_str_length
      )
      __snake_case      :    list  			=[]
      for char_count in range(a ):
            if char_count < first_str_length:
                  output_list.append(first_str[char_count] )
            if char_count < second_str_length:
                  output_list.append(second_str[char_count] )
      return "".join(a )


if __name__ == "__main__":
    print(alternative_string_arrange("""AB""", """XYZ"""), end=""" """)


