





import cva
import numpy as np





class 				A_				:







       """simple docstring"""





       def __init__(    self	:	str						,__A	:	str						,__A	:	Tuple  )						->					int:






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







       def __str__(    self	:	List[Any]  )						->					str:
         return str(self.k  )







       def    __UpperCAmelCase (    self	:	Optional[Any]						,__A	:	Any  )						->					tuple[cva.Mat, list[list[int]]]:
         _lowercase							= cva.imread(__a						,0  )
         _lowercase							= img.shape
         _lowercase							= []
         _lowercase							= img.copy()
         _lowercase							= cva.cvtColor(__a						,cva.COLOR_GRAY2RGB  )
         _lowercase							= np.gradient(__a  )
         _lowercase							= dx**2
         _lowercase							= dy**2
         _lowercase							= dx * dy
         _lowercase							= 0.04
         _lowercase							= self.window_size // 2
         for y in range(__a						,h - offset  ):
           for x in range(__a						,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__":
    snake_case 				=       HarrisCorner(0.04, 3)
    snake_case				,snake_case 				=       edge_detect.detect("""path_to_image""")
    cva.imwrite("""detect.png""", color_img)






import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
      import torch

      from transformers.generation import DisjunctiveConstraint





@require_torch
class 				A_				(      unittest.TestCase	):







       """simple docstring"""





       def    __UpperCAmelCase (    self	:	Union[str, Any]  )						->					List[Any]:
         # For consistency across different places the DisjunctiveConstraint is called,
         # dc.token_ids is a list of integers. It is also initialized only by integers.

         _lowercase							= [[1, 2, 4], [1, 2, 3, 4]]
         _lowercase							= DisjunctiveConstraint(__A  )
         self.assertTrue(isinstance(dc.token_ids						,__A  )  )

         with self.assertRaises(__A  ):
           DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]  )  )

         with self.assertRaises(__A  ):
           DisjunctiveConstraint([torch.LongTensor([1, 2, 4]  ), torch.LongTensor([1, 2, 3, 4, 5]  )]  )







       def    __UpperCAmelCase (    self	:	List[Any]  )						->					str:
         # We can't have constraints that are complete subsets of another. This leads to a preverse
         # interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
         # It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
         # fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
         # will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
         _lowercase							= [[1, 2], [1, 2, 3, 4]]

         with self.assertRaises(__A  ):
           DisjunctiveConstraint(__A  )  # fails here







       def    __UpperCAmelCase (    self	:	Dict  )						->					Optional[Any]:
         _lowercase							= [[1, 2, 3], [1, 2, 4]]

         _lowercase							= DisjunctiveConstraint(__A  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(1  )
         _lowercase							= stepped is True and completed is False and reset is False
         self.assertTrue(__A  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(2  )
         _lowercase							= stepped is True and completed is False and reset is False
         self.assertTrue(__A  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1, 2]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(3  )
         _lowercase							= stepped is True and completed is True and reset is False
         self.assertTrue(__A  )
         self.assertTrue(dc.completed  )  # Completed!
         self.assertTrue(dc.current_seq == [1, 2, 3]  )







       def    __UpperCAmelCase (    self	:	List[Any]  )						->					Any:
         _lowercase							= [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

         _lowercase							= DisjunctiveConstraint(__A  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(1  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(2  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1, 2]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(4  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1, 2, 4]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(5  )
         self.assertTrue(dc.completed  )  # Completed!
         self.assertTrue(dc.current_seq == [1, 2, 4, 5]  )

         dc.reset()

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(1  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.remaining() == 3  )
         self.assertTrue(dc.current_seq == [1]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(2  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.remaining() == 2  )
         self.assertTrue(dc.current_seq == [1, 2]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(5  )
         self.assertTrue(dc.completed  )  # Completed!
         self.assertTrue(dc.remaining() == 0  )
         self.assertTrue(dc.current_seq == [1, 2, 5]  )