



'''simple docstring'''






import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser




def     snake_case_					(     lowerCAmelCase_		)->		Tuple:





       '''simple docstring'''


       _UpperCAmelCase  :						Union[str, Any]			     = {}
       _UpperCAmelCase  :						Optional[Any]			     = tokenizer(example["""content"""]       ,   truncation=lowerCAmelCase_		)["""input_ids"""]
       _UpperCAmelCase  :						List[str]			     = len(example["""content"""]		) / len(output["""input_ids"""]		)
       return output


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

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

A_							: int						 =	time.time()
A_							: Dict						 =	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_							: 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""")








'''simple docstring'''






from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray




def     snake_case_					(     lowerCAmelCase_       ,   lowerCAmelCase_       ,   lowerCAmelCase_ = False		)->		list[float]:





       '''simple docstring'''


       if radian_mode:
              return [magnitude * cos(lowerCAmelCase_		), magnitude * sin(lowerCAmelCase_		)]
       return [magnitude * cos(radians(lowerCAmelCase_		)		), magnitude * sin(radians(lowerCAmelCase_		)		)]




def     snake_case_					(     lowerCAmelCase_       ,   lowerCAmelCase_       ,   lowerCAmelCase_ = 10**-1		)->		bool:





       '''simple docstring'''


       _UpperCAmelCase  :						NDArray[floataa]			     = cross(lowerCAmelCase_       ,   lowerCAmelCase_		)
       _UpperCAmelCase  :						float			     = sum(lowerCAmelCase_		)
       return abs(lowerCAmelCase_		) < eps


if __name__ == "__main__":
   # Test to check if it works
   A_							: str						 =	array(
       [
           polar_force(718.4, 1_8_0 - 3_0),
           polar_force(879.54, 4_5),
           polar_force(1_0_0, -9_0),
       ]
   )

   A_							: NDArray[floataa]						 =	array([[0, 0], [0, 0], [0, 0]])

   assert in_static_equilibrium(forces, location)

   # Problem 1 in image_data/2D_problems.jpg
   A_							: List[str]						 =	array(
       [
           polar_force(3_0 * 9.81, 1_5),
           polar_force(2_1_5, 1_8_0 - 4_5),
           polar_force(2_6_4, 9_0 - 3_0),
       ]
   )

   A_							: Tuple						 =	array([[0, 0], [0, 0], [0, 0]])

   assert in_static_equilibrium(forces, location)

   # Problem in image_data/2D_problems_1.jpg
   A_							: Dict						 =	array([[0, -2_0_0_0], [0, -1_2_0_0], [0, 1_5_6_0_0], [0, -1_2_4_0_0]])

   A_							: Union[str, Any]						 =	array([[0, 0], [6, 0], [1_0, 0], [1_2, 0]])

   assert in_static_equilibrium(forces, location)

   import doctest

   doctest.testmod()



