






"""simple docstring"""

import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin

class     A_				(   unittest.TestCase       ,				snake_case_	):







				def      _snake_case       (				self				:    int						)					->       Any:
										__magic_name__      =  load_tool("document-question-answering"						)
										self.tool.setup()
										__magic_name__      =  load_tool("document-question-answering"    ,     remote=__lowerCamelCase						)







				def      _snake_case       (				self				:    int						)					->       Optional[int]:
										__magic_name__      =  load_dataset("hf-internal-testing/example-documents"    ,     split="test"						)
										__magic_name__      =  dataset[0]["image"]

										__magic_name__      =  self.tool(__lowerCamelCase    ,     "When is the coffee break?"						)
										self.assertEqual(__lowerCamelCase    ,     "11-14 to 11:39 a.m."						)







				def      _snake_case       (				self				:    List[Any]						)					->       Optional[Any]:
										__magic_name__      =  load_dataset("hf-internal-testing/example-documents"    ,     split="test"						)
										__magic_name__      =  dataset[0]["image"]

										__magic_name__      =  self.remote_tool(__lowerCamelCase    ,     "When is the coffee break?"						)
										self.assertEqual(__lowerCamelCase    ,     "11-14 to 11:39 a.m."						)







				def      _snake_case       (				self				:    Tuple						)					->       Tuple:
										__magic_name__      =  load_dataset("hf-internal-testing/example-documents"    ,     split="test"						)
										__magic_name__      =  dataset[0]["image"]

										self.tool(document=__lowerCamelCase    ,     question="When is the coffee break?"						)







				def      _snake_case       (				self				:    Optional[Any]						)					->       Optional[Any]:
										__magic_name__      =  load_dataset("hf-internal-testing/example-documents"    ,     split="test"						)
										__magic_name__      =  dataset[0]["image"]

										__magic_name__      =  self.remote_tool(document=__lowerCamelCase    ,     question="When is the coffee break?"						)
										self.assertEqual(__lowerCamelCase    ,     "11-14 to 11:39 a.m."						)











"""simple docstring"""

from cva import destroyAllWindows, imread, imshow, waitKey






def _lowerCAmelCase						(	__lowerCamelCase:Tuple			,    __lowerCamelCase:int ):

						'''simple docstring'''






						__magic_name__   ,     __magic_name__      =  img.shape[0], img.shape[1]

						def to_grayscale(__lowerCamelCase:List[str]			,    __lowerCamelCase:Optional[Any]			,    __lowerCamelCase:int ):
												return 0.2_1_2_6 * red + 0.5_8_7 * green + 0.1_1_4 * blue

						def normalize(__lowerCamelCase:Union[str, Any] ):
												return min(__lowerCamelCase			,    2_5_5 )

						for i in range(__lowerCamelCase ):
												for j in range(__lowerCamelCase ):
																		__magic_name__      =  int(to_grayscale(*img[i][j] ) )
																		__magic_name__      =  [
																		    normalize(__lowerCamelCase ),
																		    normalize(greyscale + factor ),
																		    normalize(greyscale + 2 * factor ),
																		]

						return img


if __name__ == "__main__":
			# read original image
			lowercase           =							{
			    percentage: imread('''image_data/lena.jpg''', 1) for percentage in (10, 20, 30, 40)
			}

			for percentage, img in images.items():
						make_sepia(img, percentage)

			for percentage, img in images.items():
						imshow(f'''Original image with sepia (factor: {percentage})''', img)

			waitKey(0)
			destroyAllWindows()



