


'''simple docstring'''

import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser





def lowerCamelCase      (      lowerCAmelCase    :     str		):





	"""simple docstring"""







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


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

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

lowerCAmelCase				:Union[str, Any]        =      time.time()
lowerCAmelCase				: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')

lowerCAmelCase				:str        =      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 math





def lowerCamelCase      (      lowerCAmelCase    :     float		,		lowerCAmelCase    :     float		):





	"""simple docstring"""







	return math.pow(lowerCAmelCase		,		2		) - a





def lowerCamelCase      (      lowerCAmelCase    :     float		):





	"""simple docstring"""







	return 2 * x





def lowerCamelCase      (      lowerCAmelCase    :     float		):





	"""simple docstring"""







	__magic_name__	:   List[Any]					     =					2.0

	while start <= a:
		__magic_name__	:   List[str]					     =					math.pow(lowerCAmelCase		,		2		)

	return start





def lowerCamelCase      (      lowerCAmelCase    :     float		,		lowerCAmelCase    :     int = 9999		,		lowerCAmelCase    :     float = 0.00_0000_0000_0001		):





	"""simple docstring"""







	if a < 0:
		raise ValueError('math domain error'		)

	__magic_name__	:   Any					     =					get_initial_point(lowerCAmelCase		)

	for _ in range(lowerCAmelCase		):
		__magic_name__	:   List[str]					     =					value
		__magic_name__	:   Optional[int]					     =					value - fx(lowerCAmelCase		,		lowerCAmelCase		) / fx_derivative(lowerCAmelCase		)
		if abs(prev_value - value		) < tolerance:
			return value

	return value


if __name__ == "__main__":
							from doctest import testmod

							testmod()