





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey


def _A       (   __magic_name__  , __magic_name__  , __magic_name__  , __magic_name__  , __magic_name__  , __magic_name__	):

   # prepare kernel
   # the kernel size have to be odd
   if (ksize % 2) == 0:
      lowercase__			       =  ksize + 1
   lowercase__			       =  np.zeros((ksize, ksize)  , dtype=np.floataa	)

   # each value
   for y in range(__magic_name__	):
      for x in range(__magic_name__	):
         # distance from center
         lowercase__			       =  x - ksize // 2
         lowercase__			       =  y - ksize // 2

         # degree to radiant
         lowercase__			       =  theta / 180 * np.pi
         lowercase__			       =  np.cos(_theta	)
         lowercase__			       =  np.sin(_theta	)

         # get kernel x
         lowercase__			       =  cos_theta * px + sin_theta * py

         # get kernel y
         lowercase__			       =  -sin_theta * px + cos_theta * py

         # fill kernel
         lowercase__			       =  np.exp(
             -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)	) * np.cos(2 * np.pi * _x / lambd + psi	)

   return gabor


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  # read original image
  _snake_case           =			imread("""../image_data/lena.jpg""")
  # turn image in gray scale value
  _snake_case           =			cvtColor(img, COLOR_BGR2GRAY)

  # Apply multiple Kernel to detect edges
  _snake_case           =			np.zeros(gray.shape[:2])
  for theta in [0, 30, 60, 90, 120, 150]:
    _snake_case           =			gabor_filter_kernel(10, 8, theta, 10, 0, 0)
    out += filteraD(gray, CV_8UC3, kernel_aa)
  _snake_case           =			out / out.max() * 255
  _snake_case           =			out.astype(np.uinta)

  imshow("""Original""", gray)
  imshow("""Gabor filter with 20x20 mask and 6 directions""", out)

  waitKey(0)













from collections import namedtuple

import requests
from lxml import html  # type: ignore

_snake_case           =			namedtuple("""covid_data""", """cases deaths recovered""")


def _A       (   __magic_name__ = "https://www.worldometers.info/coronavirus/"	):
   lowercase__			       =  "//div[@class = \"maincounter-number\"]/span/text()"
   return covid_data(*html.fromstring(requests.get(__magic_name__	).content	).xpath(__magic_name__	)	)


_snake_case           =			"""Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""







print(fmt.format(*covid_stats()))






