
'''simple docstring'''
import pytest

from datasets import inspect_metric, list_metrics, load_metric




@pytest.fixture
def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							Any:


		'''simple docstring'''


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




@pytest.fixture
def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							int:


		'''simple docstring'''


		class 	snake_case__       :







				"""simple docstring"""

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






						"""simple docstring"""







						snake_case  :       Any     			=						metric_id







		class 	snake_case__       :







				"""simple docstring"""

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



				def       lowerCAmelCase				(      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    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)  ->							Optional[int]:


		'''simple docstring'''


		if "tmp_path" in args:
				snake_case  :       Dict     			=						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() = }")


