
from __future__ import annotations

__magic_name__            =  '''Muhammad Umer Farooq'''
__magic_name__            =  '''MIT'''
__magic_name__            =  '''1.0.0'''
__magic_name__            =  '''Muhammad Umer Farooq'''
__magic_name__            =  '''contact@muhammadumerfarooq.me'''
__magic_name__            =  '''Alpha'''

import re
from html.parser import HTMLParser
from urllib import parse

import requests




class 					_SCREAMING_SNAKE_CASE  (      __UpperCamelCase ):
      def __init__(			self		,	lowerCamelCase ):
          super().__init__()
          snake_case__						=				[]
          snake_case__						=				domain



      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase ):
          # Only parse the 'anchor' tag.
          if tag == "a":
              # Check the list of defined attributes.
              for name, value in attrs:
                  # If href is defined, and not empty nor # print it.
                  if name == "href" and value != "#" and value != "":
                      # If not already in urls.
                      if value not in self.urls:
                          snake_case__						=				parse.urljoin(self.domain		,	lowerCamelCase )
                          self.urls.append(lowerCamelCase )





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return ".".join(get_sub_domain_name(__lowerCAmelCase							).split("."							)[-2:]							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    return parse.urlparse(__lowerCAmelCase							).netloc





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase = "https://github.com"							):
    snake_case__						=				get_domain_name(__lowerCAmelCase							)

    # Initialize the parser
    snake_case__						=				Parser(__lowerCAmelCase							)

    try:
        # Open URL
        snake_case__						=				requests.get(__lowerCAmelCase							)

        # pass the raw HTML to the parser to get links
        parser.feed(r.text							)

        # Get links and loop through
        snake_case__						=				set()
        for link in parser.urls:
            # open URL.
            # read = requests.get(link)
            try:
                snake_case__						=				requests.get(__lowerCAmelCase							)
                # Get the valid email.
                snake_case__						=				re.findall("[a-zA-Z0-9]+@" + domain    ,		read.text							)
                # If not in list then append it.
                for email in emails:
                    valid_emails.add(__lowerCAmelCase							)
            except ValueError:
                pass
    except ValueError:
        raise SystemExit(1							)

    # Finally return a sorted list of email addresses with no duplicates.
    return sorted(__lowerCAmelCase							)


if __name__ == "__main__":
     __magic_name__            =  emails_from_url('''https://github.com''')
     print(F'''{len(emails)} emails found:''')
     print('''\n'''.join(sorted(emails)))





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





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase    ,		__lowerCAmelCase    ,		__lowerCAmelCase    ,		__lowerCAmelCase    ,		__lowerCAmelCase							):

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

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

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

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

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

            # fill kernel
            snake_case__						=				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
     __magic_name__            =  imread('''../image_data/lena.jpg''')
     # turn image in gray scale value
     __magic_name__            =  cvtColor(img, COLOR_BGR2GRAY)

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

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

     waitKey(0)



