






"""simple docstring"""





from __future__ import annotations

A__					: Tuple=	"""Muhammad Umer Farooq"""
A__					: Any=	"""MIT"""
A__					: Optional[Any]=	"""1.0.0"""
A__					: Dict=	"""Muhammad Umer Farooq"""
A__					: Optional[Any]=	"""contact@muhammadumerfarooq.me"""
A__					: Union[str, Any]=	"""Alpha"""

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

import requests
class    __lowerCamelCase    (  _UpperCAmelCase  ):

   def __init__(					self ,				snake_case_      )		->       List[str]:
       super().__init__()
       UpperCamelCase__         =    []
       UpperCamelCase__         =    domain







   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       List[str]:
       # 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:
                       UpperCamelCase__         =    parse.urljoin(self.domain ,				lowercase__      )
                       self.urls.append(lowercase__      )







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[str]:
    """simple docstring"""

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







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[str]:
    """simple docstring"""

    return parse.urlparse(SCREAMING_SNAKE_CASE__					).netloc







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE = "https://github.com"					)					->	str:
    """simple docstring"""

    UpperCamelCase__         =    get_domain_name(SCREAMING_SNAKE_CASE__					)

    # Initialize the parser
    UpperCamelCase__         =    Parser(SCREAMING_SNAKE_CASE__					)

    try:
        # Open URL
        UpperCamelCase__         =    requests.get(SCREAMING_SNAKE_CASE__					)

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

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

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


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











"""simple docstring"""





import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("""9.1.0"""):
  A__					: str=	{
      """linear""": PIL.Image.Resampling.BILINEAR,
      """bilinear""": PIL.Image.Resampling.BILINEAR,
      """bicubic""": PIL.Image.Resampling.BICUBIC,
      """lanczos""": PIL.Image.Resampling.LANCZOS,
      """nearest""": PIL.Image.Resampling.NEAREST,
  }
else:
  A__					: str=	{
      """linear""": PIL.Image.LINEAR,
      """bilinear""": PIL.Image.BILINEAR,
      """bicubic""": PIL.Image.BICUBIC,
      """lanczos""": PIL.Image.LANCZOS,
      """nearest""": PIL.Image.NEAREST,
  }







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	int:
    """simple docstring"""

    UpperCamelCase__         =    (images / 2 + 0.5).clamp(0 ,	1					)
    UpperCamelCase__         =    images.cpu().permute(0 ,	2 ,	3 ,	1					).float().numpy()
    UpperCamelCase__         =    numpy_to_pil(SCREAMING_SNAKE_CASE					)
    return images







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    if images.ndim == 3:
        UpperCamelCase__         =    images[None, ...]
    UpperCamelCase__         =    (images * 2_55).round().astype('uint8'					)
    if images.shape[-1] == 1:
        # special case for grayscale (single channel) images
        UpperCamelCase__         =    [Image.fromarray(image.squeeze() ,	mode='L'					) for image in images]
    else:
        UpperCamelCase__         =    [Image.fromarray(SCREAMING_SNAKE_CASE					) for image in images]

    return pil_images




