import pytest

from datasets import inspect_metric, list_metrics, load_metric


@pytest.fixture
def 				lowerCAmelCase__       (			a__ )      ->Any:




  '''simple docstring'''

  monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"    ,     set() )


@pytest.fixture
def 				lowerCAmelCase__       (			a__ )      ->int:




  '''simple docstring'''

  class 					_UpperCAmelCase			:



   '''simple docstring'''




   def __init__(		self				:   Tuple							, lowercase_				:   List[Any])						->	List[Any]:


     """simple docstring"""







     _UpperCamelCase           =    metric_id




  class 					_UpperCAmelCase			:



   '''simple docstring'''




   __A			       =					[MetricMock(__SCREAMING_SNAKE_CASE  ) for metric_id in ['''accuracy''', '''mse''', '''precision''', '''codeparrot/apps_metric''']]







   def 		__UpperCAmelCase				(		self				:   Optional[int])						->	str:


     """simple docstring"""







     return self._metrics


  monkeypatch.setattr("datasets.inspect.huggingface_hub"    ,     HfhMock() )







@pytest.mark.parametrize(
    "func, args"    ,     [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))] )
def 				lowerCAmelCase__       (			a__    ,     a__    ,     a__    ,     a__    ,     a__ )      ->Optional[int]:




  '''simple docstring'''

  if "tmp_path" in args:
    _UpperCamelCase           =    tuple(arg if arg != "tmp_path" else tmp_path for arg in args )
  with pytest.warns(SCREAMING_SNAKE_CASE__    ,     match="https://huggingface.co/docs/evaluate" ):
    func(*SCREAMING_SNAKE_CASE__ )






'''simple docstring'''
from __future__ import annotations

from math import ceil, floor, sqrt




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ = 200_0000			)  ->							int:


		'''simple docstring'''


		snake_case  :       list[int]     			=						[0]
		snake_case  :       int

		for idx in range(1 ,       ceil(sqrt(target * 2			) * 1.1			)			):
				triangle_numbers.append(triangle_numbers[-1] + idx			)

		# we want this to be as close as possible to target
		snake_case  :       int     			=						0
		# the area corresponding to the grid that gives the product closest to target
		snake_case  :       int     			=						0
		# an estimate of b, using the quadratic formula
		snake_case  :       float
		# the largest integer less than b_estimate
		snake_case  :       int
		# the largest integer less than b_estimate
		snake_case  :       int
		# the triangle number corresponding to b_floor
		snake_case  :       int
		# the triangle number corresponding to b_ceil
		snake_case  :       int

		for idx_a, triangle_a in enumerate(triangle_numbers[1:] ,       1			):
				snake_case  :       int     			=						(-1 + sqrt(1 + 8 * target / triangle_a			)) / 2
				snake_case  :       Optional[int]     			=						floor(SCREAMING_SNAKE_CASE__			)
				snake_case  :       int     			=						ceil(SCREAMING_SNAKE_CASE__			)
				snake_case  :       Optional[Any]     			=						triangle_numbers[b_floor]
				snake_case  :       Union[str, Any]     			=						triangle_numbers[b_ceil]

				if abs(target - triangle_b_first_guess * triangle_a			) < abs(
				    target - best_product			):
						snake_case  :       str     			=						triangle_b_first_guess * triangle_a
						snake_case  :       int     			=						idx_a * b_floor

				if abs(target - triangle_b_second_guess * triangle_a			) < abs(
				    target - best_product			):
						snake_case  :       List[Any]     			=						triangle_b_second_guess * triangle_a
						snake_case  :       Any     			=						idx_a * b_ceil

		return area


if __name__ == "__main__":
						print(f"{solution() = }")


