






'''simple docstring'''

import cva
import numpy as np




class     A    :






 """simple docstring"""





 def __init__(							self			,     __lowerCAmelCase			,     __lowerCAmelCase ):





       if k in (0.04, 0.06):
             UpperCamelCase_				:   List[Any]					    =							k
             UpperCamelCase_				:   Union[str, Any]					    =							window_size
       else:
             raise ValueError("""invalid k value""" )
 def __str__(							self ):
       return str(self.k )





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

                   UpperCamelCase_				:   int					    =							(wxx * wyy) - (wxy**2)
                   UpperCamelCase_				:   Union[str, Any]					    =							wxx + wyy
                   UpperCamelCase_				:   Optional[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)			,     2_55 )
       return color_img, corner_list


if __name__ == "__main__":
      UpperCamelCase							=HarrisCorner(0.0_4, 3)
      UpperCamelCase				,		UpperCamelCase							=edge_detect.detect("path_to_image")
      cva.imwrite("detect.png", color_img)










'''simple docstring'''

import pytest

import datasets


# Import fixture modules as plugins
UpperCamelCase							=["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]



def 							snake_case					(     a_							: List[str]    ,   a_							: Optional[Any]	)       ->				Union[str, Any]:





      """simple docstring"""

      for item in items:
            if any(marker in item.keywords for marker in ["""integration""", """unit"""]	):
                  continue
            item.add_marker(pytest.mark.unit	)



def 							snake_case					(     a_							: Optional[int]	)       ->				Optional[Any]:





      """simple docstring"""

      config.addinivalue_line("""markers"""    ,   """torchaudio_latest: mark test to run with torchaudio>=0.12"""	)



@pytest.fixture(autouse=a_	)
def 							snake_case					(     a_							: Any    ,   a_							: Optional[int]	)       ->				Tuple:





      """simple docstring"""

      UpperCamelCase_				:   Optional[Any]					    =							tmp_path_factory.getbasetemp() / """cache"""
      UpperCamelCase_				:   str					    =							test_hf_cache_home / """datasets"""
      UpperCamelCase_				:   Any					    =							test_hf_cache_home / """metrics"""
      UpperCamelCase_				:   List[Any]					    =							test_hf_cache_home / """modules"""
      monkeypatch.setattr("""datasets.config.HF_DATASETS_CACHE"""    ,   str(a_	)	)
      monkeypatch.setattr("""datasets.config.HF_METRICS_CACHE"""    ,   str(a_	)	)
      monkeypatch.setattr("""datasets.config.HF_MODULES_CACHE"""    ,   str(a_	)	)
      UpperCamelCase_				:   List[Any]					    =							test_hf_datasets_cache / """downloads"""
      monkeypatch.setattr("""datasets.config.DOWNLOADED_DATASETS_PATH"""    ,   str(a_	)	)
      UpperCamelCase_				:   Any					    =							test_hf_datasets_cache / """downloads""" / """extracted"""
      monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""    ,   str(a_	)	)



@pytest.fixture(autouse=a_    ,   scope="""session"""	)
def 							snake_case					(     )       ->				Any:





      """simple docstring"""

      datasets.disable_progress_bar()



@pytest.fixture(autouse=a_	)
def 							snake_case					(     a_							: Optional[int]	)       ->				Union[str, Any]:





      """simple docstring"""

      monkeypatch.setattr("""datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"""    ,   a_	)



@pytest.fixture
def 							snake_case					(     a_							: int	)       ->				Union[str, Any]:





      """simple docstring"""

      monkeypatch.setattr("""sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"""    ,   a_	)






