




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 	A	(						unittest.TestCase	,  _lowerCAmelCase						):
     """simple docstring"""

     def        __snake_case      (			self     :      int	) ->				Optional[int]:
           lowerCamelCase__					     = load_tool('image-question-answering'	)
           self.tool.setup()
           lowerCamelCase__					     = load_tool('image-question-answering'		,     remote=A__	)




     def        __snake_case      (			self     :      Optional[int]	) ->				Tuple:
           lowerCamelCase__					     = Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
           lowerCamelCase__					     = self.tool(A__		,     'How many cats are sleeping on the couch?'	)
           self.assertEqual(A__		,     '2'	)




     def        __snake_case      (			self     :      Tuple	) ->				str:
           lowerCamelCase__					     = Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
           lowerCamelCase__					     = self.remote_tool(A__		,     'How many cats are sleeping on the couch?'	)
           self.assertEqual(A__		,     '2'	)




     def        __snake_case      (			self     :      Any	) ->				Optional[int]:
           lowerCamelCase__					     = Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
           lowerCamelCase__					     = self.tool(image=A__		,     question='How many cats are sleeping on the couch?'	)
           self.assertEqual(A__		,     '2'	)




     def        __snake_case      (			self     :      List[Any]	) ->				List[Any]:
           lowerCamelCase__					     = Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
           lowerCamelCase__					     = self.remote_tool(image=A__		,     question='How many cats are sleeping on the couch?'	)
           self.assertEqual(A__		,     '2'	)

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

from collections.abc import Callable




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__ = 100      ,    )   ->				float:


		'''simple docstring'''


		snake_case   :    int			       =		x_start
		snake_case   :    Tuple			       =		fnc(SCREAMING_SNAKE_CASE__       )
		snake_case   :    Dict			       =		0.0

		for _ in range(SCREAMING_SNAKE_CASE__       ):
				# Approximates small segments of curve as linear and solve
				# for trapezoidal area
				snake_case   :    str			       =		(x_end - x_start) / steps + xa
				snake_case   :    str			       =		fnc(SCREAMING_SNAKE_CASE__       )
				area += abs(fxa + fxa       ) * (xa - xa) / 2

				# Increment step
				snake_case   :    Any			       =		xa
				snake_case   :    List[str]			       =		fxa
		return area


if __name__ == "__main__":




						def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__       )   ->				str:


								'''simple docstring'''


								return x**3

						print("f(x) = x^3")
						print("The area between the curve, x = -10, x = 10 and the x axis is:")
						lowercase__		    =	1_0
						while i <= 1_0_0_0_0_0:
												lowercase__		    =	trapezoidal_area(f, -5, 5, i)
												print(f"with {i} steps: {area}")
												i *= 1_0


