




def 							_UpperCAmelCase  (UpperCamelCase_ : str       ):
    '''simple docstring'''
    _lowerCAmelCase    :    Optional[int]										=      """"""
    for ch in key:
        if ch == " " or ch not in key_no_dups and ch.isalpha():
            key_no_dups += ch
    return key_no_dups




def 							_UpperCAmelCase  (UpperCamelCase_ : List[str]       ):
    '''simple docstring'''
    _lowerCAmelCase    :    int										=      [chr(i + 65       ) for i in range(26       )]
    # Remove duplicate characters from key
    _lowerCAmelCase    :    str										=      remove_duplicates(key.upper()       )
    _lowerCAmelCase    :    int										=      len(lowerCamelCase__       )
    # First fill cipher with key characters
    _lowerCAmelCase    :    Optional[Any]										=      {alphabet[i]: char for i, char in enumerate(lowerCamelCase__       )}
    # Then map remaining characters in alphabet to
    # the alphabet from the beginning
    for i in range(len(lowerCamelCase__       )      ,    26       ):
        _lowerCAmelCase    :    List[Any]										=      alphabet[i - offset]
        # Ensure we are not mapping letters to letters previously mapped
        while char in key:
            offset -= 1
            _lowerCAmelCase    :    Any										=      alphabet[i - offset]
        _lowerCAmelCase    :    List[Any]										=      char
    return cipher_alphabet




def 							_UpperCAmelCase  (UpperCamelCase_ : int      ,    UpperCamelCase_ : List[str]       ):
    '''simple docstring'''
    return "".join(cipher_map.get(lowerCamelCase__      ,    lowerCamelCase__       ) for ch in message.upper()       )




def 							_UpperCAmelCase  (UpperCamelCase_ : Optional[int]      ,    UpperCamelCase_ : Union[str, Any]       ):
    '''simple docstring'''
    _lowerCAmelCase    :    str										=      {v: k for k, v in cipher_map.items()}
    return "".join(rev_cipher_map.get(lowerCamelCase__      ,    lowerCamelCase__       ) for ch in message.upper()       )




def 							_UpperCAmelCase  ():
    '''simple docstring'''
    _lowerCAmelCase    :    Optional[Any]										=      input("""Enter message to encode or decode: """       ).strip()
    _lowerCAmelCase    :    Optional[Any]										=      input("""Enter keyword: """       ).strip()
    _lowerCAmelCase    :    Tuple										=      input("""Encipher or decipher? E/D:"""       ).strip()[0].lower()
    try:
        _lowerCAmelCase    :    List[Any]										=      {"""e""": encipher, """d""": decipher}[option]
    except KeyError:
        raise KeyError("""invalid input option"""       )
    _lowerCAmelCase    :    List[Any]										=      create_cipher_map(lowerCamelCase__       )
    print(func(lowerCamelCase__      ,    lowerCamelCase__       )       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()







import cva
import numpy as np
class        __snake_case  :



				def __init__(      self      :		List[str]		,	_UpperCAmelCase      :		float		,	_UpperCAmelCase      :		int      )  ->    int:





								'''simple docstring'''




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



				def __str__(      self      :		int      )  ->    str:





								'''simple docstring'''




								return str(self.k      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Optional[int]		,	_UpperCAmelCase      :		str      )  ->    tuple[cva.Mat, list[list[int]]]:





								'''simple docstring'''




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

																_lowerCAmelCase    :    Dict										=      (wxx * wyy) - (wxy**2)
																_lowerCAmelCase    :    Union[str, Any]										=      wxx + wyy
																_lowerCAmelCase    :    int										=      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      :  int      						=						HarrisCorner(0.0_4, 3)
	_lowerCamelCase						, _lowerCamelCase      :  Any      						=						edge_detect.detect("path_to_image")
	cva.imwrite("detect.png", color_img)

