


"""simple docstring"""







import cva
import numpy as np




class 			UpperCamelCase_     :

	"""simple docstring"""





	def __init__(			self      :    Tuple      ,      UpperCAmelCase__      :    Tuple      ,      UpperCAmelCase__      :    Any       )	->     Optional[Any]:

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




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




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

																__SCREAMING_SNAKE_CASE						       =    (wxx * wyy) - (wxy**2)
																__SCREAMING_SNAKE_CASE						       =    wxx + wyy
																__SCREAMING_SNAKE_CASE						       =    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__":
		a__    :							str            =					HarrisCorner(0.04, 3)
		a__      ,					a__    :							int            =					edge_detect.detect('''path_to_image''')
		cva.imwrite('''detect.png''', color_img)




"""simple docstring"""







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


a__    :							int            =					logging.get_logger(__name__)

a__    :							Tuple            =					{'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}




class 			UpperCamelCase_     (			UpperCamelCase):

	"""simple docstring"""





	snake_case__    :  Dict    =      "ctrl"
	snake_case__    :  int    =      ["past_key_values"]
	snake_case__    :  Tuple    =      {
	    "max_position_embeddings": "n_positions",
	    "hidden_size": "n_embd",
	    "num_attention_heads": "n_head",
	    "num_hidden_layers": "n_layer",
	}




	def __init__(			self      :    List[Any]      ,      UpperCAmelCase__      :    Any=2_4_6_5_3_4      ,      UpperCAmelCase__      :    List[Any]=2_5_6      ,      UpperCAmelCase__      :    Optional[int]=1_2_8_0      ,      UpperCAmelCase__      :    Optional[Any]=8_1_9_2      ,      UpperCAmelCase__      :    int=4_8      ,      UpperCAmelCase__      :    Optional[int]=1_6      ,      UpperCAmelCase__      :    Tuple=0.1      ,      UpperCAmelCase__      :    Optional[Any]=0.1      ,      UpperCAmelCase__      :    Any=1E-6      ,      UpperCAmelCase__      :    List[str]=0.02      ,      UpperCAmelCase__      :    Union[str, Any]=True      ,      **UpperCAmelCase__      :    Tuple      ,      )	->     str:
						__SCREAMING_SNAKE_CASE						       =    vocab_size
						__SCREAMING_SNAKE_CASE						       =    n_positions
						__SCREAMING_SNAKE_CASE						       =    n_embd
						__SCREAMING_SNAKE_CASE						       =    n_layer
						__SCREAMING_SNAKE_CASE						       =    n_head
						__SCREAMING_SNAKE_CASE						       =    dff
						__SCREAMING_SNAKE_CASE						       =    resid_pdrop
						__SCREAMING_SNAKE_CASE						       =    embd_pdrop
						__SCREAMING_SNAKE_CASE						       =    layer_norm_epsilon
						__SCREAMING_SNAKE_CASE						       =    initializer_range

						__SCREAMING_SNAKE_CASE						       =    use_cache

						super().__init__(**UpperCAmelCase__       )
