


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

def  lowerCAmelCase__				(    a__:	Optional[Any]    ,						a__:	Optional[Any]=3 )						->	Optional[Any]:


							'''simple docstring'''





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


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

		# get values with two different mask size
		lowerCAmelCase__						:Optional[int]         =							median_filter(gray, 3)
		lowerCAmelCase__						:int         =							median_filter(gray, 5)

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




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					,   UpperCAmelCase    ):
		def 			UpperCAmelCase__       (    self		)				-> str:




									"""simple docstring"""





									_UpperCAmelCase					=    load_tool('translation'		)
									self.tool.setup()
									_UpperCAmelCase					=    load_tool('translation'    ,					remote=_SCREAMING_SNAKE_CASE		)
		def 			UpperCAmelCase__       (    self		)				-> Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase					=    self.tool('Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> Tuple:




									"""simple docstring"""





									_UpperCAmelCase					=    self.remote_tool('Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase					=    self.tool(text='Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> int:




									"""simple docstring"""





									_UpperCAmelCase					=    self.remote_tool(text='Hey, what\'s up?'    ,					src_lang='English'    ,					tgt_lang='French'		)
									self.assertEqual(_SCREAMING_SNAKE_CASE    ,					'- Hé, comment ça va?'		)
		def 			UpperCAmelCase__       (    self		)				-> Tuple:




									"""simple docstring"""





									_UpperCAmelCase					=    ['Hey, what\'s up?', 'English', 'Spanish']
									_UpperCAmelCase					=    self.tool(*_SCREAMING_SNAKE_CASE		)

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

									self.assertListEqual(output_types(_SCREAMING_SNAKE_CASE		)    ,					self.tool.outputs		)
		def 			UpperCAmelCase__       (    self		)				-> Union[str, Any]:




									"""simple docstring"""





									_UpperCAmelCase					=    ['Hey, what\'s up?', 'English', 'Spanish']
									_UpperCAmelCase					=    self.tool(*_SCREAMING_SNAKE_CASE		)

									if not isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		):
																_UpperCAmelCase					=    [outputs]

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

									for output, output_type in zip(_SCREAMING_SNAKE_CASE    ,					self.tool.outputs		):
																_UpperCAmelCase					=    AGENT_TYPE_MAPPING[output_type]
																self.assertTrue(isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		)		)






		def 			UpperCAmelCase__       (    self		)				-> Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase					=    ['Hey, what\'s up?', 'English', 'Spanish']

									_UpperCAmelCase					=    []

									for _input, input_type in zip(_SCREAMING_SNAKE_CASE    ,					self.tool.inputs		):
																if isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		):
																							_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
									_UpperCAmelCase					=    self.tool(*_SCREAMING_SNAKE_CASE		)

									if not isinstance(_SCREAMING_SNAKE_CASE    ,					_SCREAMING_SNAKE_CASE		):
																_UpperCAmelCase					=    [outputs]

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