import cva
import numpy as np






class 		a__						:

					def __init__(    self      :       Any,_A      :       float,_A      :       int    ):







							"""simple docstring"""






							if k in (0.04, 0.06):
									SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    k
									SCREAMING_SNAKE_CASE_  :		str				      =    window_size
							else:
									raise ValueError("invalid k value"    )

					def __str__(    self      :       Union[str, Any]    ):







							"""simple docstring"""






							return str(self.k    )






					def 				__UpperCamelCase   (    self      :       Optional[int],_A      :       str    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Dict				      =    cva.imread(_A,0    )
							SCREAMING_SNAKE_CASE_      ,    SCREAMING_SNAKE_CASE_  :		int				      =    img.shape
							SCREAMING_SNAKE_CASE_  :		list[list[int]]				      =    []
							SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    img.copy()
							SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    cva.cvtColor(_A,cva.COLOR_GRAY2RGB    )
							SCREAMING_SNAKE_CASE_      ,    SCREAMING_SNAKE_CASE_  :		List[Any]				      =    np.gradient(_A    )
							SCREAMING_SNAKE_CASE_  :		str				      =    dx**2
							SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    dy**2
							SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    dx * dy
							SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    0.04
							SCREAMING_SNAKE_CASE_  :		str				      =    self.window_size // 2
							for y in range(_A,h - offset    ):
									for x in range(_A,w - offset    ):
											SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    ixx[
											    y - offset : y + offset + 1, x - offset : x + offset + 1
											].sum()
											SCREAMING_SNAKE_CASE_  :		int				      =    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_  :		int				      =    (wxx * wyy) - (wxy**2)
											SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    wxx + wyy
											SCREAMING_SNAKE_CASE_  :		List[Any]				      =    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__":
		__lowerCamelCase					:	Optional[int]       =  HarrisCorner(0.04, 3)
		__lowerCamelCase   ,						__lowerCamelCase					:	List[Any]       =  edge_detect.detect('''path_to_image''')
		cva.imwrite('''detect.png''', color_img)





"""simple docstring"""

import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
     import torch

if is_soundfile_availble():
     import soundfile as sf

if is_vision_available():
     from PIL import Image




def __lowercase			(							_a=""    ):
    snake_case_ :     List[str]				=	tempfile.mkdtemp()
    return os.path.join(_a		,			str(uuid.uuida()    ) + suffix    )




@require_soundfile
@require_torch
class        _UpperCAmelCase       (			unittest.TestCase):

 def 						_snake_case					(     self		:       str				):
     snake_case_ :     int				=	torch.rand(12  ,     dtype=torch.floataa				) - 0.5
     snake_case_ :     Optional[int]				=	AgentAudio(lowercase_				)
     snake_case_ :     List[str]				=	str(agent_type.to_string()				)

     # Ensure that the tensor and the agent_type's tensor are the same
     self.assertTrue(torch.allclose(lowercase_  ,     agent_type.to_raw()  ,     atol=1E-4				)				)

     del agent_type

     # Ensure the path remains even after the object deletion
     self.assertTrue(os.path.exists(lowercase_				)				)

     # Ensure that the file contains the same value as the original tensor
     snake_case_,	snake_case_ :     int				=	sf.read(lowercase_				)
     self.assertTrue(torch.allclose(lowercase_  ,     torch.tensor(lowercase_				)  ,     atol=1E-4				)				)






 def 						_snake_case					(     self		:       Optional[int]				):
     snake_case_ :     Any				=	torch.rand(12  ,     dtype=torch.floataa				) - 0.5
     snake_case_ :     List[str]				=	get_new_path(suffix='''.wav'''				)
     sf.write(lowercase_  ,     lowercase_  ,     16000				)

     snake_case_ :     Tuple				=	AgentAudio(lowercase_				)

     self.assertTrue(torch.allclose(lowercase_  ,     agent_type.to_raw()  ,     atol=1E-4				)				)
     self.assertEqual(agent_type.to_string()  ,     lowercase_				)





@require_vision
@require_torch
class        _UpperCAmelCase       (			unittest.TestCase):

 def 						_snake_case					(     self		:       Tuple				):
     snake_case_ :     List[Any]				=	torch.randint(0  ,     256  ,     (64, 64, 3)				)
     snake_case_ :     str				=	AgentImage(lowercase_				)
     snake_case_ :     Union[str, Any]				=	str(agent_type.to_string()				)

     # Ensure that the tensor and the agent_type's tensor are the same
     self.assertTrue(torch.allclose(lowercase_  ,     agent_type._tensor  ,     atol=1E-4				)				)

     self.assertIsInstance(agent_type.to_raw()  ,     Image.Image				)

     # Ensure the path remains even after the object deletion
     del agent_type
     self.assertTrue(os.path.exists(lowercase_				)				)

 def 						_snake_case					(     self		:       str				):
     snake_case_ :     Any				=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
     snake_case_ :     Optional[int]				=	Image.open(lowercase_				)
     snake_case_ :     Tuple				=	AgentImage(lowercase_				)

     self.assertTrue(path.samefile(agent_type.to_string()				)				)
     self.assertTrue(image == agent_type.to_raw()				)

     # Ensure the path remains even after the object deletion
     del agent_type
     self.assertTrue(os.path.exists(lowercase_				)				)






 def 						_snake_case					(     self		:       str				):
     snake_case_ :     int				=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
     snake_case_ :     Dict				=	Image.open(lowercase_				)
     snake_case_ :     List[str]				=	AgentImage(lowercase_				)

     self.assertFalse(path.samefile(agent_type.to_string()				)				)
     self.assertTrue(image == agent_type.to_raw()				)

     # Ensure the path remains even after the object deletion
     del agent_type
     self.assertTrue(os.path.exists(lowercase_				)				)





class        _UpperCAmelCase       (			unittest.TestCase):

 def 						_snake_case					(     self		:       Any				):
     snake_case_ :     Tuple				=	'''Hey!'''
     snake_case_ :     Optional[Any]				=	AgentText(lowercase_				)

     self.assertEqual(lowercase_  ,     agent_type.to_string()				)
     self.assertEqual(lowercase_  ,     agent_type.to_raw()				)
     self.assertEqual(lowercase_  ,     lowercase_				)





