




"""simple docstring"""







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






class    SCREAMING_SNAKE_CASE__       :


						def __init__(				self					:      Union[str, Any]    ,    lowerCAmelCase					:      List[Any]    ,    lowerCAmelCase					:      Dict    ,    lowerCAmelCase					:      List[Any]       ):







										if dst_width < 0 or dst_height < 0:
														raise ValueError("""Destination width/height should be > 0"""       )

										lowerCAmelCase						=					img
										lowerCAmelCase						=					img.shape[1]
										lowerCAmelCase						=					img.shape[0]
										lowerCAmelCase						=					dst_width
										lowerCAmelCase						=					dst_height

										lowerCAmelCase						=					self.src_w / self.dst_w
										lowerCAmelCase						=					self.src_h / self.dst_h

										lowerCAmelCase						=					(
										    np.ones((self.dst_h, self.dst_w, 3)    ,    np.uinta       ) * 255
										)


						def 	__lowercase			(				self					:      List[Any]       ):







										for i in range(self.dst_h       ):
														for j in range(self.dst_w       ):
																		lowerCAmelCase						=					self.img[self.get_y(__lowercase       )][self.get_x(__lowercase       )]


						def 	__lowercase			(				self					:      int    ,    lowerCAmelCase					:      str       ):
										return int(self.ratio_x * x       )




						def 	__lowercase			(				self					:      str    ,    lowerCAmelCase					:      str       ):
										return int(self.ratio_y * y       )


if __name__ == "__main__":
		a  =				8_0_0, 6_0_0
		a  =				imread('image_data/lena.jpg', 1)
		a  =				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()









'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase_			:  int										=   logging.get_logger(__name__)

UpperCAmelCase_			:  List[Any]										=   {
    'facebook/deit-base-distilled-patch16-224': (
        'https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}

class     _lowerCamelCase       (     snake_case_					):




 '''simple docstring'''
 __lowercase					:		Union[str, Any]     				=    '''deit'''


 def __init__(   self   ,   __lowercase=768   ,   __lowercase=12   ,   __lowercase=12   ,   __lowercase=3_072   ,   __lowercase="gelu"   ,   __lowercase=0.0   ,   __lowercase=0.0   ,   __lowercase=0.0_2   ,   __lowercase=1E-12   ,   __lowercase=224   ,   __lowercase=16   ,   __lowercase=3   ,   __lowercase=True   ,   __lowercase=16   ,   **__lowercase   ,   ):

  """simple docstring"""







  super().__init__(**__lowercase    )

  __A	:		Union[str, Any]	  =      hidden_size
  __A	:		int	  =      num_hidden_layers
  __A	:		str	  =      num_attention_heads
  __A	:		Optional[int]	  =      intermediate_size
  __A	:		List[str]	  =      hidden_act
  __A	:		str	  =      hidden_dropout_prob
  __A	:		str	  =      attention_probs_dropout_prob
  __A	:		int	  =      initializer_range
  __A	:		Tuple	  =      layer_norm_eps
  __A	:		List[Any]	  =      image_size
  __A	:		Dict	  =      patch_size
  __A	:		Optional[Any]	  =      num_channels
  __A	:		List[Any]	  =      qkv_bias
  __A	:		str	  =      encoder_stride


class     _lowerCamelCase       (     snake_case_					):




 '''simple docstring'''
 __lowercase					:		Optional[int]     				=    version.parse('''1.11'''					)


 @property
 def 			snake_case__ (   self    ):

  """simple docstring"""







  return OrderedDict(
      [
          ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
      ]    )







 @property
 def 			snake_case__ (   self    ):

  """simple docstring"""







  return 1E-4






