





'''simple docstring'''




from cva import destroyAllWindows, imread, imshow, waitKey




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_       )      ->Union[str, Any]:
	snake_case__  					=      img.shape[0], img.shape[1]

	def to_grayscale(UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_       ):
		return 0.2126 * red + 0.587 * green + 0.114 * blue

	def normalize(UpperCAmelCase_       ):
		return min(UpperCAmelCase_				,							2_55       )

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

	return img


if __name__ == "__main__":
			# read original image
			a__				: List[str]									=    {
			    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()











'''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


a__				: Dict									=    logging.get_logger(__name__)

a__				: Tuple									=    {
    '''apple/mobilevitv2-1.0''': '''https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json''',
}






class 							__snake_case    (				__magic_name__       ):
	__lowerCAmelCase						=     '''mobilevitv2'''





	def __init__(		self			,					UpperCamelCase_=3			,					UpperCamelCase_=256			,					UpperCamelCase_=2			,					UpperCamelCase_=2.0			,					UpperCamelCase_="swish"			,					UpperCamelCase_=3			,					UpperCamelCase_=32			,					UpperCamelCase_=0.1			,					UpperCamelCase_=0.0_2			,					UpperCamelCase_=1E-5			,					UpperCamelCase_=512			,					UpperCamelCase_=[6, 12, 18]			,					UpperCamelCase_=0.1			,					UpperCamelCase_=255			,					UpperCamelCase_=[2, 4, 3]			,					UpperCamelCase_=[128, 192, 256]			,					UpperCamelCase_=1.0			,					UpperCamelCase_=2			,					UpperCamelCase_=0.0			,					UpperCamelCase_=0.0			,					**UpperCamelCase_			,					)			->		Union[str, Any]:
		super().__init__(**UpperCamelCase_		)

		snake_case__  					=      num_channels
		snake_case__  					=      image_size
		snake_case__  					=      patch_size
		snake_case__  					=      expand_ratio
		snake_case__  					=      hidden_act
		snake_case__  					=      conv_kernel_size
		snake_case__  					=      output_stride
		snake_case__  					=      initializer_range
		snake_case__  					=      layer_norm_eps
		snake_case__  					=      n_attn_blocks
		snake_case__  					=      base_attn_unit_dims
		snake_case__  					=      width_multiplier
		snake_case__  					=      ffn_multiplier
		snake_case__  					=      ffn_dropout
		snake_case__  					=      attn_dropout
		snake_case__  					=      classifier_dropout_prob

		# decode head attributes for semantic segmentation
		snake_case__  					=      aspp_out_channels
		snake_case__  					=      atrous_rates
		snake_case__  					=      aspp_dropout_prob
		snake_case__  					=      semantic_loss_ignore_index






class 							__snake_case    (				__magic_name__       ):
	__lowerCAmelCase						=     version.parse('''1.11'''       )





	@property
	def      _snake_case      (		self		)			->		Mapping[str, Mapping[int, str]]:
		return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]		)





	@property
	def      _snake_case      (		self		)			->		Mapping[str, Mapping[int, str]]:
		if self.task == "image-classification":
			return OrderedDict([('logits', {0: 'batch'})]		)
		else:
			return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]		)





	@property
	def      _snake_case      (		self		)			->		float:
		return 1E-4



