





import cva
import numpy as np



class 				_UpperCAmelCase    :

  """simple docstring"""


  def __init__(				self :		Union[str, Any]					,  lowerCAmelCase_ :		float					,  lowerCAmelCase_ :		int     )							->						Optional[Any]:

     if k in (0.04, 0.06):
        __lowerCAmelCase								=	k
        __lowerCAmelCase								=	window_size
     else:
        raise ValueError('invalid k value'     )






  def __str__(				self :		int     )							->						str:
     return str(self.k     )






  def 				lowercase		(				self :		Dict					,  lowerCAmelCase_ :		str     )							->						tuple[cva.Mat, list[list[int]]]:
     __lowerCAmelCase								=	cva.imread(lowerCAmelCase_					,  0     )
     __lowerCAmelCase	,	__lowerCAmelCase								=	img.shape
     __lowerCAmelCase								=	[]
     __lowerCAmelCase								=	img.copy()
     __lowerCAmelCase								=	cva.cvtColor(lowerCAmelCase_					,  cva.COLOR_GRAY2RGB     )
     __lowerCAmelCase	,	__lowerCAmelCase								=	np.gradient(lowerCAmelCase_     )
     __lowerCAmelCase								=	dx**2
     __lowerCAmelCase								=	dy**2
     __lowerCAmelCase								=	dx * dy
     __lowerCAmelCase								=	0.04
     __lowerCAmelCase								=	self.window_size // 2
     for y in range(lowerCAmelCase_					,  h - offset     ):
        for x in range(lowerCAmelCase_					,  w - offset     ):
           __lowerCAmelCase								=	ixx[
               y - offset : y + offset + 1, x - offset : x + offset + 1
           ].sum()
           __lowerCAmelCase								=	iyy[
               y - offset : y + offset + 1, x - offset : x + offset + 1
           ].sum()
           __lowerCAmelCase								=	ixy[
               y - offset : y + offset + 1, x - offset : x + offset + 1
           ].sum()

           __lowerCAmelCase								=	(wxx * wyy) - (wxy**2)
           __lowerCAmelCase								=	wxx + wyy
           __lowerCAmelCase								=	det - k * (trace**2)
           # Can change the value
           if r > 0.5:
              corner_list.append([x, y, r]     )
              color_img.itemset((y, x, 0)					,  0     )
              color_img.itemset((y, x, 1)					,  0     )
              color_img.itemset((y, x, 2)					,  2_5_5     )
     return color_img, corner_list


if __name__ == "__main__":
     _snake_case  :    List[str]						    =  HarrisCorner(0.04, 3)
     _snake_case    , _snake_case  :    str						    =  edge_detect.detect('path_to_image')
     cva.imwrite('detect.png', color_img)








from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case  :    List[Any]						    =  logging.get_logger(__name__)

_snake_case  :    Any						    =  {
    'google/pegasus-large': 'https://huggingface.co/google/pegasus-large/resolve/main/config.json',
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}



class 				_UpperCAmelCase    (    _UpperCamelCase    ):

  """simple docstring"""


  a_        = """pegasus"""
  a_        = ["""past_key_values"""]
  a_        = {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}






  def __init__(				self :		List[str]					,  lowerCAmelCase_ :		Union[str, Any]=5_0_2_6_5					,  lowerCAmelCase_ :		Union[str, Any]=1_0_2_4					,  lowerCAmelCase_ :		Union[str, Any]=1_2					,  lowerCAmelCase_ :		Dict=4_0_9_6					,  lowerCAmelCase_ :		str=1_6					,  lowerCAmelCase_ :		List[Any]=1_2					,  lowerCAmelCase_ :		Union[str, Any]=4_0_9_6					,  lowerCAmelCase_ :		Union[str, Any]=1_6					,  lowerCAmelCase_ :		Any=0.0					,  lowerCAmelCase_ :		Optional[int]=0.0					,  lowerCAmelCase_ :		List[Any]=True					,  lowerCAmelCase_ :		Any=True					,  lowerCAmelCase_ :		Dict="gelu"					,  lowerCAmelCase_ :		Optional[int]=1_0_2_4					,  lowerCAmelCase_ :		List[str]=0.1					,  lowerCAmelCase_ :		str=0.0					,  lowerCAmelCase_ :		Union[str, Any]=0.0					,  lowerCAmelCase_ :		Optional[int]=0.02					,  lowerCAmelCase_ :		Tuple=0					,  lowerCAmelCase_ :		Tuple=False					,  lowerCAmelCase_ :		Union[str, Any]=0					,  lowerCAmelCase_ :		int=1					,  lowerCAmelCase_ :		Tuple=1					,  **lowerCAmelCase_ :		Tuple					,  )							->						List[str]:
     __lowerCAmelCase								=	vocab_size
     __lowerCAmelCase								=	max_position_embeddings
     __lowerCAmelCase								=	d_model
     __lowerCAmelCase								=	encoder_ffn_dim
     __lowerCAmelCase								=	encoder_layers
     __lowerCAmelCase								=	encoder_attention_heads
     __lowerCAmelCase								=	decoder_ffn_dim
     __lowerCAmelCase								=	decoder_layers
     __lowerCAmelCase								=	decoder_attention_heads
     __lowerCAmelCase								=	dropout
     __lowerCAmelCase								=	attention_dropout
     __lowerCAmelCase								=	activation_dropout
     __lowerCAmelCase								=	activation_function
     __lowerCAmelCase								=	init_std
     __lowerCAmelCase								=	encoder_layerdrop
     __lowerCAmelCase								=	decoder_layerdrop
     __lowerCAmelCase								=	use_cache
     __lowerCAmelCase								=	encoder_layers
     __lowerCAmelCase								=	scale_embedding  # scale factor will be sqrt(d_model) if True
     super().__init__(
         pad_token_id=lowerCAmelCase_					,  eos_token_id=lowerCAmelCase_					,  is_encoder_decoder=lowerCAmelCase_					,  decoder_start_token_id=lowerCAmelCase_					,  forced_eos_token_id=lowerCAmelCase_					,  **lowerCAmelCase_					,  )






  @property
  def 				lowercase		(				self :		List[Any]     )							->						int:
     return self.encoder_attention_heads






  @property
  def 				lowercase		(				self :		Optional[Any]     )							->						int:
     return self.d_model

