
from __future__ import annotations

a					  =     '#'







class        UpperCamelCase__   :

					def __init__(     self       :   List[Any]       ):






										'''simple docstring'''






										lowercase_  							=			{}

					def   UpperCAmelCase__       (     self       :   Optional[int]							,					UpperCamelCase__       :   List[Any]       ):






										'''simple docstring'''






										lowercase_  							=			self._trie
										for char in text:
															if char not in trie:
																				lowercase_  							=			{}
															lowercase_  							=			trie[char]
										lowercase_  							=			True

					def   UpperCAmelCase__       (     self       :   Optional[Any]							,					UpperCamelCase__       :   str       ):






										'''simple docstring'''






										lowercase_  							=			self._trie
										for char in prefix:
															if char in trie:
																				lowercase_  							=			trie[char]
															else:
																				return []
										return self._elements(UpperCamelCase__       )







					def   UpperCAmelCase__       (     self       :   Union[str, Any]							,					UpperCamelCase__       :   str       ):






										'''simple docstring'''






										lowercase_  							=			[]
										for c, v in d.items():
															lowercase_  							=			[' '] if c == END else [(c + s) for s in self._elements(UpperCamelCase__       )]
															result.extend(UpperCamelCase__       )
										return tuple(UpperCamelCase__       )



a					  =     Trie()
a					  =     ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
							trie.insert_word(word)


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					lowercase_  							=			trie.find_word(lowerCAmelCase__  )
					return tuple(string + word for word in suffixes  )


def 			UpperCAmelCase_				(      ):
					print(autocomplete_using_trie("""de"""  )  )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()






import cva
import numpy as np







class        UpperCamelCase__   :

					def __init__(     self       :   List[str]							,					UpperCamelCase__       :   float							,					UpperCamelCase__       :   int       ):






										'''simple docstring'''






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

					def __str__(     self       :   Optional[int]       ):






										'''simple docstring'''






										return str(self.k       )







					def   UpperCAmelCase__       (     self       :   Optional[Any]							,					UpperCamelCase__       :   str       ):






										'''simple docstring'''






										lowercase_  							=			cva.imread(UpperCamelCase__							,					0       )
										lowercase_							,					lowercase_  							=			img.shape
										lowercase_  							=			[]
										lowercase_  							=			img.copy()
										lowercase_  							=			cva.cvtColor(UpperCamelCase__							,					cva.COLOR_GRAY2RGB       )
										lowercase_							,					lowercase_  							=			np.gradient(UpperCamelCase__       )
										lowercase_  							=			dx**2
										lowercase_  							=			dy**2
										lowercase_  							=			dx * dy
										lowercase_  							=			0.04
										lowercase_  							=			self.window_size // 2
										for y in range(UpperCamelCase__							,					h - offset       ):
															for x in range(UpperCamelCase__							,					w - offset       ):
																				lowercase_  							=			ixx[
																				    y - offset : y + offset + 1, x - offset : x + offset + 1
																				].sum()
																				lowercase_  							=			iyy[
																				    y - offset : y + offset + 1, x - offset : x + offset + 1
																				].sum()
																				lowercase_  							=			ixy[
																				    y - offset : y + offset + 1, x - offset : x + offset + 1
																				].sum()

																				lowercase_  							=			(wxx * wyy) - (wxy**2)
																				lowercase_  							=			wxx + wyy
																				lowercase_  							=			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)							,					255       )
										return color_img, corner_list


if __name__ == "__main__":
							a					  =     HarrisCorner(0.04, 3)
							a  ,					a					  =     edge_detect.detect('path_to_image')
							cva.imwrite('detect.png', color_img)


