


import cva
import numpy as np







class 		_snake_case  :




 def __init__(		self ,  _lowerCamelCase ,  _lowerCamelCase   ):

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




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




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

                   a						:Any										=	(wxx * wyy) - (wxy**2)
                   a						:Optional[Any]										=	wxx + wyy
                   a						:Dict										=	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    :   str	    =					HarrisCorner(0.04, 3)
     snake_case    :   Optional[Any]	    =					edge_detect.detect('''path_to_image''')
     cva.imwrite('''detect.png''', color_img)









import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


snake_case    :   Any	    =					pytest.mark.integration
@pytest.mark.parametrize('''path'''			,  ['''paws''', '''csv''']						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		Optional[Any]						):




      """simple docstring"""





      inspect_dataset(UpperCAmelCase_			,  UpperCAmelCase_						)
      a						:List[Any]										=	path + '''.py'''
      assert script_name in os.listdir(UpperCAmelCase_						)
      assert "__pycache__" not in os.listdir(UpperCAmelCase_						)
@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''						)
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''						)
@pytest.mark.parametrize('''path'''			,  ['''accuracy''']						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		Any						):




      """simple docstring"""





      inspect_metric(UpperCAmelCase_			,  UpperCAmelCase_						)
      a						:Dict										=	path + '''.py'''
      assert script_name in os.listdir(UpperCAmelCase_						)
      assert "__pycache__" not in os.listdir(UpperCAmelCase_						)
@pytest.mark.parametrize(
    '''path, config_name, expected_splits'''			,  [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      a						:List[str]										=	get_dataset_config_info(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)
      assert info.config_name == config_name
      assert list(info.splits.keys()						) == expected_splits
@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''			,  [
        ('''paws''', None, ValueError),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		str			,  UpperCAmelCase_						:		Tuple						):




      """simple docstring"""





      with pytest.raises(UpperCAmelCase_						):
            get_dataset_config_info(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)
@pytest.mark.parametrize(
    '''path, expected'''			,  [
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		int						):




      """simple docstring"""





      a						:List[str]										=	get_dataset_config_names(UpperCAmelCase_						)
      assert expected in config_names
@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config'''			,  [
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      a						:Optional[int]										=	get_dataset_infos(UpperCAmelCase_						)
      assert list(infos.keys()						) == expected_configs
      a						:Union[str, Any]										=	expected_configs[0]
      assert expected_config in infos
      a						:List[Any]										=	infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()						) == expected_splits_in_first_config
@pytest.mark.parametrize(
    '''path, expected_config, expected_splits'''			,  [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		Any			,  UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      a						:Union[str, Any]										=	get_dataset_infos(UpperCAmelCase_						)
      assert expected_config in infos
      a						:int										=	infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()						) == expected_splits






@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''			,  [
        ('''paws''', None, ValueError),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Union[str, Any]			,  UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      with pytest.raises(UpperCAmelCase_						):
            get_dataset_split_names(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)





