



'''simple docstring'''



import cva
import numpy as np
class 	lowerCamelCase_							:







						def __init__(  self   :      Optional[int]				,    lowerCAmelCase__   :      float				,    lowerCAmelCase__   :      int				):

													"""simple docstring"""

													if k in (0.04, 0.06):
																				SCREAMING_SNAKE_CASE					:      str     					=			k
																				SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			window_size
													else:
																				raise ValueError('''invalid k value'''				)







						def __str__(  self   :      List[Any]				):

													"""simple docstring"""
													return str(self.k				)







						def 					__lowercase    (  self   :      Tuple				,    lowerCAmelCase__   :      str				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      str     					=			cva.imread(lowerCAmelCase__				,    0				)
													SCREAMING_SNAKE_CASE					,SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			img.shape
													SCREAMING_SNAKE_CASE					:      list[list[int]]     					=			[]
													SCREAMING_SNAKE_CASE					:      Dict     					=			img.copy()
													SCREAMING_SNAKE_CASE					:      List[str]     					=			cva.cvtColor(lowerCAmelCase__				,    cva.COLOR_GRAY2RGB				)
													SCREAMING_SNAKE_CASE					,SCREAMING_SNAKE_CASE					:      int     					=			np.gradient(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      str     					=			dx**2
													SCREAMING_SNAKE_CASE					:      Any     					=			dy**2
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			dx * dy
													SCREAMING_SNAKE_CASE					:      str     					=			0.04
													SCREAMING_SNAKE_CASE					:      str     					=			self.window_size // 2
													for y in range(lowerCAmelCase__				,    h - offset				):
																				for x in range(lowerCAmelCase__				,    w - offset				):
																											SCREAMING_SNAKE_CASE					:      Any     					=			ixx[
																											    y - offset : y + offset + 1, x - offset : x + offset + 1
																											].sum()
																											SCREAMING_SNAKE_CASE					:      List[Any]     					=			iyy[
																											    y - offset : y + offset + 1, x - offset : x + offset + 1
																											].sum()
																											SCREAMING_SNAKE_CASE					:      Optional[int]     					=			ixy[
																											    y - offset : y + offset + 1, x - offset : x + offset + 1
																											].sum()

																											SCREAMING_SNAKE_CASE					:      Dict     					=			(wxx * wyy) - (wxy**2)
																											SCREAMING_SNAKE_CASE					:      Dict     					=			wxx + wyy
																											SCREAMING_SNAKE_CASE					:      Tuple     					=			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_55				)
													return color_img, corner_list


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









'''simple docstring'''



import string
from math import logaa
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			document.translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				).replace('''\n'''					,		''''''				)
							SCREAMING_SNAKE_CASE					:      Tuple     					=			document_without_punctuation.split(''' '''				)  # word tokenization
							return len([word for word in tokenize_document if word.lower() == term.lower()]				)
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      int     					=			corpus.lower().translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				)  # strip all punctuation and replace it with ''
							SCREAMING_SNAKE_CASE					:      Any     					=			corpus_without_punctuation.split('''\n'''				)
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			term.lower()
							return (len([doc for doc in docs if term in doc]				), len(A				))
def 					UpperCAmelCase   (						A  :				int					,		A  :				int					,		A  :				str=False				):
							if smoothing:
														if n == 0:
																					raise ValueError('''log10(0) is undefined.'''				)
														return round(1 + logaa(n / (1 + df)				)					,		3				)

							if df == 0:
														raise ZeroDivisionError('''df must be > 0'''				)
							elif n == 0:
														raise ValueError('''log10(0) is undefined.'''				)
							return round(logaa(n / df				)					,		3				)






def 					UpperCAmelCase   (						A  :				int					,		A  :				int				):
							return round(tf * idf					,		3				)




