





'''simple docstring'''






from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros
def 							_lowerCamelCase(  UpperCamelCase__    : Tuple    ,       UpperCamelCase__    : Any		)		->  Optional[Any]:
    A       :       Union[str, Any]							=						k_size // 2
    A,	A       :       Any							=						mgrid[0 - center : k_size - center, 0 - center : k_size - center]
    A       :       Tuple							=						1 / (2 * pi * sigma) * exp(-(square(UpperCamelCase__		) + square(UpperCamelCase__		)) / (2 * square(UpperCamelCase__		))		)
    return g
def 							_lowerCamelCase(  UpperCamelCase__    : Union[str, Any]    ,       UpperCamelCase__    : Optional[int]    ,       UpperCamelCase__    : Any		)		->  int:
    A,	A       :       int							=						image.shape[0], image.shape[1]
    # dst image height and width
    A       :       List[Any]							=						height - k_size + 1
    A       :       Any							=						width - k_size + 1

    # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
    A       :       List[Any]							=						zeros((dst_height * dst_width, k_size * k_size)		)
    A       :       int							=						0
    for i, j in product(range(UpperCamelCase__		)    ,       range(UpperCamelCase__		)		):
        A       :       int							=						ravel(image[i : i + k_size, j : j + k_size]		)
        A       :       Any							=						window
        row += 1

    #  turn the kernel into shape(k*k, 1)
    A       :       List[Any]							=						gen_gaussian_kernel(UpperCamelCase__    ,       UpperCamelCase__		)
    A       :       Dict							=						ravel(UpperCamelCase__		)

    # reshape and get the dst image
    A       :       Union[str, Any]							=						dot(UpperCamelCase__    ,       UpperCamelCase__		).reshape(UpperCamelCase__    ,       UpperCamelCase__		).astype(UpperCamelCase__		)

    return dst


if __name__ == "__main__":
     # read original image
     snake_case_     =	imread(R"""../image_data/lena.jpg""")
     # turn image in gray scale value
     snake_case_     =	cvtColor(img, COLOR_BGR2GRAY)

     # get values with two different mask size
     snake_case_     =	gaussian_filter(gray, 3, sigma=1)
     snake_case_     =	gaussian_filter(gray, 5, sigma=0.8)

     # show result images
     imshow("""gaussian filter with 3x3 mask""", gaussianaxa)
     imshow("""gaussian filter with 5x5 mask""", gaussianaxa)
     waitKey()







'''simple docstring'''






import requests

snake_case_     =	"""YOUR API KEY"""
def 							_lowerCamelCase(  UpperCamelCase__    : str    ,       UpperCamelCase__    : str = giphy_api_key		)		->  list:
    A       :       Optional[Any]							=						'''+'''.join(query.split()		)
    A       :       List[Any]							=						F'''https://api.giphy.com/v1/gifs/search?q={formatted_query}&api_key={api_key}'''
    A       :       int							=						requests.get(UpperCamelCase__		).json()['''data''']
    return [gif["url"] for gif in gifs]


if __name__ == "__main__":
     print("""\n""".join(get_gifs("""space ship""")))
