


'''simple docstring'''



import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format



class 			a       :


     """simple docstring"""






     SCREAMING_SNAKE_CASE :				Optional[int]							     =     None

     def 				lowerCamelCase__				(       self  :	Tuple    )		->							List[str]:
          __UpperCAmelCase			:				Any													=    self.feature_extraction_class(**self.feat_extract_dict    )
          __UpperCAmelCase			:				Tuple													=    json.loads(feat_extract.to_json_string()    )
          for key, value in self.feat_extract_dict.items():
               self.assertEqual(obj[key]							,				snake_case    )

     def 				lowerCamelCase__				(       self  :	List[Any]    )		->							Dict:
          __UpperCAmelCase			:				Optional[int]													=    self.feature_extraction_class(**self.feat_extract_dict    )

          with tempfile.TemporaryDirectory() as tmpdirname:
               __UpperCAmelCase			:				Dict													=    os.path.join(snake_case							,				'''feat_extract.json'''    )
               feat_extract_first.to_json_file(snake_case    )
               __UpperCAmelCase			:				Tuple													=    self.feature_extraction_class.from_json_file(snake_case    )

          self.assertEqual(feat_extract_second.to_dict()							,				feat_extract_first.to_dict()    )

     def 				lowerCamelCase__				(       self  :	Tuple    )		->							int:
          __UpperCAmelCase			:				List[str]													=    self.feature_extraction_class(**self.feat_extract_dict    )

          with tempfile.TemporaryDirectory() as tmpdirname:
               __UpperCAmelCase			:				Any													=    feat_extract_first.save_pretrained(snake_case    )[0]
               check_json_file_has_correct_format(snake_case    )
               __UpperCAmelCase			:				Tuple													=    self.feature_extraction_class.from_pretrained(snake_case    )

          self.assertEqual(feat_extract_second.to_dict()							,				feat_extract_first.to_dict()    )






     def 				lowerCamelCase__				(       self  :	Tuple    )		->							Optional[Any]:
          __UpperCAmelCase			:				Dict													=    self.feature_extraction_class()
          self.assertIsNotNone(snake_case    )



'''simple docstring'''



import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey



class 			a       :


     """simple docstring"""






     def __init__(       self  :	Union[str, Any]							,				snake_case  :	List[Any]							,				snake_case  :	int							,				snake_case  :	int    )		->							List[Any]:
          if dst_width < 0 or dst_height < 0:
               raise ValueError('''Destination width/height should be > 0'''    )

          __UpperCAmelCase			:				str													=    img
          __UpperCAmelCase			:				List[Any]													=    img.shape[1]
          __UpperCAmelCase			:				Optional[Any]													=    img.shape[0]
          __UpperCAmelCase			:				Dict													=    dst_width
          __UpperCAmelCase			:				List[str]													=    dst_height

          __UpperCAmelCase			:				Union[str, Any]													=    self.src_w / self.dst_w
          __UpperCAmelCase			:				List[str]													=    self.src_h / self.dst_h

          __UpperCAmelCase			:				Optional[int]													=    (
              np.ones((self.dst_h, self.dst_w, 3)							,				np.uinta    ) * 255
          )

     def 				lowerCamelCase__				(       self  :	Any    )		->							str:
          for i in range(self.dst_h    ):
               for j in range(self.dst_w    ):
                    __UpperCAmelCase			:				Any													=    self.img[self.get_y(snake_case    )][self.get_x(snake_case    )]

     def 				lowerCamelCase__				(       self  :	int							,				snake_case  :	int    )		->							int:
          return int(self.ratio_x * x    )






     def 				lowerCamelCase__				(       self  :	Optional[Any]							,				snake_case  :	int    )		->							int:
          return int(self.ratio_y * y    )


if __name__ == "__main__":
      __UpperCAmelCase       ,					__UpperCAmelCase    :int				       =     8_0_0, 6_0_0
      __UpperCAmelCase    :Dict				       =     imread("image_data/lena.jpg", 1)
      __UpperCAmelCase    :int				       =     NearestNeighbour(im, dst_w, dst_h)
      n.process()

      imshow(
          f"""Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}""", n.output
      )
      waitKey(0)
      destroyAllWindows()