




"""simple docstring"""

from cva import destroyAllWindows, imread, imshow, waitKey

def 		lowercase_   (		_UpperCAmelCase	,   _UpperCAmelCase						):




	"""simple docstring"""






	A_	:					Optional[int]						 =		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	,   255						)

	for i in range(_UpperCAmelCase						):
		for j in range(_UpperCAmelCase						):
			A_	:					Tuple						 =		int(to_grayscale(*img[i][j]						)						)
			A_	:					Dict						 =		[
			    normalize(_UpperCAmelCase						),
			    normalize(greyscale + factor						),
			    normalize(greyscale + 2 * factor						),
			]

	return img


if __name__ == "__main__":
		# read original image
		_lowerCamelCase	:      Optional[Any]   =							{
		    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 ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase       :     Any			=    logging.get_logger(__name__)

UpperCamelCase       :     Optional[int]			=    {
    """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json"""
    # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
}



class   UpperCamelCase					(       a_       ):







    """simple docstring"""





    A     :    List[str]				=			"cpmant"





    def __init__(					self     :						Tuple							,							UpperCAmelCase_     :						int = 3_0_7_2_0							,							UpperCAmelCase_     :						int = 4_0_9_6							,							UpperCAmelCase_     :						int = 3_2							,							UpperCAmelCase_     :						int = 1_2_8							,							UpperCAmelCase_     :						int = 1_0_2_4_0							,							UpperCAmelCase_     :						int = 4_8							,							UpperCAmelCase_     :						int = 0.0							,							UpperCAmelCase_     :						int = 5_1_2							,							UpperCAmelCase_     :						int = 2_0_4_8							,							UpperCAmelCase_     :						int = 1e-6							,							UpperCAmelCase_     :						float = 1.0							,							UpperCAmelCase_     :						int = 3_2							,							UpperCAmelCase_     :						int = 3_2							,							UpperCAmelCase_     :						int = 3_2							,							UpperCAmelCase_     :						bool = True							,							**UpperCAmelCase_     :						Tuple							,							):


         """simple docstring"""







         super().__init__(**UpperCAmelCase_)
         a					:							Union[str, Any]							= prompt_types
         a					:							List[str]							= prompt_length
         a					:							List[Any]							= segment_types
         a					:							Any							= hidden_size
         a					:							Optional[int]							= num_attention_heads
         a					:							Union[str, Any]							= dim_head
         a					:							int							= dim_ff
         a					:							Union[str, Any]							= num_hidden_layers
         a					:							List[Any]							= position_bias_num_buckets
         a					:							Optional[int]							= position_bias_max_distance
         a					:							str							= dropout_p
         a					:							List[str]							= eps
         a					:							Dict							= use_cache
         a					:							Tuple							= vocab_size
         a					:							Optional[Any]							= init_std

