



import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
      from PIL import Image

class    _SCREAMING_SNAKE_CASE						(unittest.TestCase      ,     UpperCamelCase			):





     def 						__snake_case     (							self			:				Optional[Any]					)->Optional[int]:
      __SCREAMING_SNAKE_CASE							:     Optional[int]							=						load_tool("image-segmentation"					)
      self.tool.setup()
      __SCREAMING_SNAKE_CASE							:     Any							=						load_tool("image-segmentation"  ,	remote=UpperCamelCase					)





     def 						__snake_case     (							self			:				int					)->str:
      __SCREAMING_SNAKE_CASE							:     Optional[int]							=						Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      __SCREAMING_SNAKE_CASE							:     Tuple							=						self.tool(UpperCamelCase  ,	"cat"					)
      self.assertTrue(isinstance(UpperCamelCase  ,	Image.Image					)					)





     def 						__snake_case     (							self			:				List[str]					)->List[Any]:
      __SCREAMING_SNAKE_CASE							:     List[Any]							=						Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      __SCREAMING_SNAKE_CASE							:     str							=						self.remote_tool(UpperCamelCase  ,	"cat"					)
      self.assertTrue(isinstance(UpperCamelCase  ,	Image.Image					)					)





     def 						__snake_case     (							self			:				str					)->List[Any]:
      __SCREAMING_SNAKE_CASE							:     int							=						Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      __SCREAMING_SNAKE_CASE							:     Dict							=						self.tool(image=UpperCamelCase  ,	label="cat"					)
      self.assertTrue(isinstance(UpperCamelCase  ,	Image.Image					)					)






     def 						__snake_case     (							self			:				List[str]					)->Tuple:
      __SCREAMING_SNAKE_CASE							:     List[str]							=						Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      __SCREAMING_SNAKE_CASE							:     Dict							=						self.remote_tool(image=UpperCamelCase  ,	label="cat"					)
      self.assertTrue(isinstance(UpperCamelCase  ,	Image.Image					)					)












'''simple docstring'''





import math
from decimal import Decimal, getcontext


def 					UpperCamelCase						(	snake_case = 4_00_00_00 ):




   '''simple docstring'''

   try:
      SCREAMING_SNAKE_CASE__      :					List[Any]							    =			int(snake_case )
   except (TypeError, ValueError):
      raise TypeError('''Parameter n must be int or castable to int.''' )
   if n <= 0:
      raise ValueError('''Parameter n must be greater than or equal to one.''' )
   SCREAMING_SNAKE_CASE__      :					Optional[int]							    =			1_00
   SCREAMING_SNAKE_CASE__      :					int							    =			(Decimal(5 ) ** Decimal(0.5 ) + 1) / Decimal(2 )

   SCREAMING_SNAKE_CASE__      :					int							    =			(math.floor(math.log(n * (phi + 2)						,  snake_case ) - 1 ) // 3) * 3 + 2
   SCREAMING_SNAKE_CASE__      :					int							    =			Decimal(round(phi ** Decimal(index + 1 ) ) ) / (phi + 2)
   SCREAMING_SNAKE_CASE__      :					Any							    =			num // 2
   return int(snake_case )


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

