


import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs







@pytest.mark.parametrize(
    'kwargs, expected'  ,   [
        ({'num_shards': 0, 'max_num_jobs': 1}, []),
        ({'num_shards': 10, 'max_num_jobs': 1}, [range(10    )]),
        ({'num_shards': 10, 'max_num_jobs': 10}, [range(__A  ,   i + 1    ) for i in range(10    )]),
        ({'num_shards': 1, 'max_num_jobs': 10}, [range(1    )]),
        ({'num_shards': 10, 'max_num_jobs': 3}, [range(0  ,   4    ), range(4  ,   7    ), range(7  ,   10    )]),
        ({'num_shards': 3, 'max_num_jobs': 10}, [range(0  ,   1    ), range(1  ,   2    ), range(2  ,   3    )]),
    ]  ,   )
def 	SCREAMING_SNAKE_CASE_						(      __A			:      Optional[int]  ,   __A			:      str    )     ->		Any:

       """simple docstring"""

       a_ :		Union[str, Any]							=  _distribute_shards(**__A    )
       assert out == expected







@pytest.mark.parametrize(
    'gen_kwargs, max_num_jobs, expected'  ,   [
        ({'foo': 0}, 10, [{'foo': 0}]),
        ({'shards': [0, 1, 2, 3]}, 1, [{'shards': [0, 1, 2, 3]}]),
        ({'shards': [0, 1, 2, 3]}, 4, [{'shards': [0]}, {'shards': [1]}, {'shards': [2]}, {'shards': [3]}]),
        ({'shards': [0, 1]}, 4, [{'shards': [0]}, {'shards': [1]}]),
        ({'shards': [0, 1, 2, 3]}, 2, [{'shards': [0, 1]}, {'shards': [2, 3]}]),
    ]  ,   )
def 	SCREAMING_SNAKE_CASE_						(      __A			:      Optional[int]  ,   __A			:      Tuple  ,   __A			:      Dict    )     ->		List[Any]:

       """simple docstring"""

       a_ :		List[Any]							=  _split_gen_kwargs(__A  ,   __A    )
       assert out == expected







@pytest.mark.parametrize(
    'gen_kwargs, expected'  ,   [
        ({'foo': 0}, 1),
        ({'shards': [0]}, 1),
        ({'shards': [0, 1, 2, 3]}, 4),
        ({'shards': [0, 1, 2, 3], 'foo': 0}, 4),
        ({'shards': [0, 1, 2, 3], 'other': (0, 1)}, 4),
        ({'shards': [0, 1, 2, 3], 'shards2': [0, 1]}, RuntimeError),
    ]  ,   )
def 	SCREAMING_SNAKE_CASE_						(      __A			:      Tuple  ,   __A			:      int    )     ->		Any:

       """simple docstring"""

       if expected is RuntimeError:
              with pytest.raises(__A    ):
                     _number_of_shards_in_gen_kwargs(__A    )
       else:
              a_ :		str							=  _number_of_shards_in_gen_kwargs(__A    )
              assert out == expected






from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
UpperCAmelCase_				:			str   =	1.054571817e-34  # unit of ℏ : J * s

UpperCAmelCase_				:			Dict   =	3e8  # unit of c : m * s^-1







def 	SCREAMING_SNAKE_CASE_						(      __A			:      float  ,   __A			:      float  ,   __A			:      float    )     ->		dict[str, float]:

       """simple docstring"""

       if (force, area, distance).count(0    ) != 1:
              raise ValueError('One and only one argument must be 0'    )
       if force < 0:
              raise ValueError('Magnitude of force can not be negative'    )
       if distance < 0:
              raise ValueError('Distance can not be negative'    )
       if area < 0:
              raise ValueError('Area can not be negative'    )
       if force == 0:
              a_ :		Optional[Any]							=  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
                  2_40 * (distance) ** 4
              )
              return {"force": force}
       elif area == 0:
              a_ :		List[str]							=  (2_40 * force * (distance) ** 4) / (
                  REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
              )
              return {"area": area}
       elif distance == 0:
              a_ :		Tuple							=  (
                  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_40 * force)
              ) ** (1 / 4)
              return {"distance": distance}
       raise ValueError('One and only one argument must be 0'    )


# Run doctest
if __name__ == "__main__":
   import doctest

   doctest.testmod()


