






"""simple docstring"""





import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types







class 						_a  (		unittest.TestCase							,	lowercase_       ):





   '''simple docstring'''






   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          lowercase__:							Dict         =     load_tool("translation")
          self.tool.setup()
          lowercase__:							Tuple         =     load_tool("translation"					, remote=UpperCAmelCase_)





   def __lowercase							(       self)			->   str:




          '''simple docstring'''




          lowercase__:							Union[str, Any]         =     self.tool("Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   int:




          '''simple docstring'''




          lowercase__:							int         =     self.remote_tool("Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          lowercase__:							Dict         =     self.tool(text="Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          lowercase__:							Tuple         =     self.remote_tool(text="Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   Dict:




          '''simple docstring'''




          lowercase__:							Optional[Any]         =     ["Hey, what's up?", "English", "Spanish"]
          lowercase__:							Any         =     self.tool(*UpperCAmelCase_)

          # There is a single output
          if len(self.tool.outputs) == 1:
                 lowercase__:							Dict         =     [outputs]

          self.assertListEqual(output_types(UpperCAmelCase_)					, self.tool.outputs)





   def __lowercase							(       self)			->   Tuple:




          '''simple docstring'''




          lowercase__:							Dict         =     ["Hey, what's up?", "English", "Spanish"]
          lowercase__:							Tuple         =     self.tool(*UpperCAmelCase_)

          if not isinstance(UpperCAmelCase_					, UpperCAmelCase_):
                 lowercase__:							Optional[int]         =     [outputs]

          self.assertEqual(len(UpperCAmelCase_)					, len(self.tool.outputs))

          for output, output_type in zip(UpperCAmelCase_					, self.tool.outputs):
                 lowercase__:							Tuple         =     AGENT_TYPE_MAPPING[output_type]
                 self.assertTrue(isinstance(UpperCAmelCase_					, UpperCAmelCase_))





   def __lowercase							(       self)			->   List[Any]:




          '''simple docstring'''




          lowercase__:							List[str]         =     ["Hey, what's up?", "English", "Spanish"]

          lowercase__:							Tuple         =     []

          for _input, input_type in zip(UpperCAmelCase_					, self.tool.inputs):
                 if isinstance(UpperCAmelCase_					, UpperCAmelCase_):
                        _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input) for _input_type in input_type])
                 else:
                        _inputs.append(AGENT_TYPE_MAPPING[input_type](_input))

        # Should not raise an error
          lowercase__:							Tuple         =     self.tool(*UpperCAmelCase_)

          if not isinstance(UpperCAmelCase_					, UpperCAmelCase_):
                 lowercase__:							Union[str, Any]         =     [outputs]

          self.assertEqual(len(UpperCAmelCase_)					, len(self.tool.outputs))














"""simple docstring"""





from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like






def 							A(    snake_case_		,  snake_case_=3						):
       """simple docstring"""





       lowercase__:							Tuple         =     int(mask / 2						)
       # copy image size
       lowercase__:							str         =     zeros_like(snake_case_						)
       for i in range(snake_case_		,  gray_img.shape[0] - bd						):
              for j in range(snake_case_		,  gray_img.shape[1] - bd						):
                     # get mask according with mask
                     lowercase__:							Optional[int]         =     ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]						)
                     # calculate mask median
                     lowercase__:							Union[str, Any]         =     sort(snake_case_						)[inta(divide((multiply(snake_case_		,  snake_case_						))		,  2						) + 1						)]
                     lowercase__:							Optional[Any]         =     median
       return median_img


if __name__ == "__main__":
  # read original image
  UpperCamelCase					=     imread("""../image_data/lena.jpg""")
  # turn image in gray scale value
  UpperCamelCase					=     cvtColor(img, COLOR_BGR2GRAY)

  # get values with two different mask size
  UpperCamelCase					=     median_filter(gray, 3)
  UpperCamelCase					=     median_filter(gray, 5)

  # show result images
  imshow("""median filter with 3x3 mask""", medianaxa)
  imshow("""median filter with 5x5 mask""", medianaxa)
  waitKey(0)






