




"""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 						UpperCAmelCase				(			A__:    List[Any]							,				A__:    Union[str, Any]     )  ->     List[Any]:
			__lowerCamelCase					:	List[str]	       =				k_size // 2
			__lowerCamelCase       ,      __lowerCamelCase					:	Dict	       =				mgrid[0 - center : k_size - center, 0 - center : k_size - center]
			__lowerCamelCase					:	str	       =				1 / (2 * pi * sigma) * exp(-(square(A__     ) + square(A__     )) / (2 * square(A__     ))     )
			return g





def 						UpperCAmelCase				(			A__:    Tuple							,				A__:    Any							,				A__:    Union[str, Any]     )  ->     Dict:
			__lowerCamelCase       ,      __lowerCamelCase					:	str	       =				image.shape[0], image.shape[1]
			# dst image height and width
			__lowerCamelCase					:	int	       =				height - k_size + 1
			__lowerCamelCase					:	List[Any]	       =				width - k_size + 1

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

			#  turn the kernel into shape(k*k, 1)
			__lowerCamelCase					:	List[str]	       =				gen_gaussian_kernel(A__							,				A__     )
			__lowerCamelCase					:	Optional[int]	       =				ravel(A__     )

			# reshape and get the dst image
			__lowerCamelCase					:	Tuple	       =				dot(A__							,				A__     ).reshape(A__							,				A__     ).astype(A__     )

			return dst


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

					# get values with two different mask size
					a_				:    Tuple										=     gaussian_filter(gray, 3, sigma=1)
					a_				:    str										=     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

a_				:    Optional[Any]										=     ''''''  # <-- Put your OpenWeatherMap appid here!
a_				:    str										=     '''https://api.openweathermap.org/data/2.5/'''





def 						UpperCAmelCase				(			A__:    str = "Chicago"							,				A__:    str = APPID     )  ->     dict:
			return requests.get(URL_BASE + 'weather'							,				params=locals()     ).json()





def 						UpperCAmelCase				(			A__:    str = "Kolkata, India"							,				A__:    str = APPID     )  ->     dict:
			return requests.get(URL_BASE + 'forecast'							,				params=locals()     ).json()





def 						UpperCAmelCase				(			A__:    float = 55.68							,				A__:    float = 12.57							,				A__:    str = APPID     )  ->     dict:
			return requests.get(URL_BASE + 'onecall'							,				params=locals()     ).json()


if __name__ == "__main__":
					from pprint import pprint

					while True:
										a_				:    List[Any]										=     input('''Enter a location:''').strip()
										if location:
															pprint(current_weather(location))
										else:
															break



