
'''simple docstring'''



import cva
import numpy as np

class    _a				:





       """simple docstring"""




       def __init__(							self       ,							A__       ,							A__      )    ->			List[Any]:

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






       def __str__(							self      )    ->			str:
          return str(self.k      )






       def        UpperCamelCase				(							self       ,							A__      )    ->			Union[str, Any]:
          _SCREAMING_SNAKE_CASE            =				cva.imread(_lowerCAmelCase       ,							0      )
          _SCREAMING_SNAKE_CASE       ,							_SCREAMING_SNAKE_CASE            =				img.shape
          _SCREAMING_SNAKE_CASE            =				[]
          _SCREAMING_SNAKE_CASE            =				img.copy()
          _SCREAMING_SNAKE_CASE            =				cva.cvtColor(_lowerCAmelCase       ,							cva.COLOR_GRAY2RGB      )
          _SCREAMING_SNAKE_CASE       ,							_SCREAMING_SNAKE_CASE            =				np.gradient(_lowerCAmelCase      )
          _SCREAMING_SNAKE_CASE            =				dx**2
          _SCREAMING_SNAKE_CASE            =				dy**2
          _SCREAMING_SNAKE_CASE            =				dx * dy
          _SCREAMING_SNAKE_CASE            =				0.04
          _SCREAMING_SNAKE_CASE            =				self.window_size // 2
          for y in range(_lowerCAmelCase       ,							h - offset      ):
             for x in range(_lowerCAmelCase       ,							w - offset      ):
                _SCREAMING_SNAKE_CASE            =				ixx[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()
                _SCREAMING_SNAKE_CASE            =				iyy[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()
                _SCREAMING_SNAKE_CASE            =				ixy[
                    y - offset : y + offset + 1, x - offset : x + offset + 1
                ].sum()

                _SCREAMING_SNAKE_CASE            =				(wxx * wyy) - (wxy**2)
                _SCREAMING_SNAKE_CASE            =				wxx + wyy
                _SCREAMING_SNAKE_CASE            =				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__      :		Optional[Any]       							=  HarrisCorner(0.04, 3)
     UpperCamelCase__      :		Tuple       							=  edge_detect.detect("path_to_image")
     cva.imwrite("detect.png", color_img)








'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


UpperCamelCase__      :		int       							=  {"tokenization_herbert": ["HerbertTokenizer"]}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase__      :		Tuple       							=  ["HerbertTokenizerFast"]


if TYPE_CHECKING:
     from .tokenization_herbert import HerbertTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_herbert_fast import HerbertTokenizerFast

else:
     import sys

     UpperCamelCase__      :		Tuple       							=  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






