





from __future__ import annotations

_snake_case           =			"""Muhammad Umer Farooq"""
_snake_case           =			"""MIT"""
_snake_case           =			"""1.0.0"""
_snake_case           =			"""Muhammad Umer Farooq"""
_snake_case           =			"""contact@muhammadumerfarooq.me"""
_snake_case           =			"""Alpha"""

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

import requests





class  lowerCAmelCase							(       lowercase_ ):







  def __init__(      self  :Tuple   ,							_lowercase  :str ):






     '''simple docstring'''





     super().__init__()
     lowercase__			       =  []
     lowercase__			       =  domain







  def   UpperCAmelCase					(      self  :int   ,							_lowercase  :str   ,							_lowercase  :list[tuple[str, str | None]] ):






     '''simple docstring'''





     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:
                 lowercase__			       =  parse.urljoin(self.domain   ,							_lowercase )
                 self.urls.append(_lowercase )


def _A       (   __magic_name__	):
   return ".".join(get_sub_domain_name(__magic_name__	).split("."	)[-2:]	)


def _A       (   __magic_name__	):
   return parse.urlparse(__magic_name__	).netloc


def _A       (   __magic_name__ = "https://github.com"	):
   lowercase__			       =  get_domain_name(__magic_name__	)

   # Initialize the parser
   lowercase__			       =  Parser(__magic_name__	)

   try:
      # Open URL
      lowercase__			       =  requests.get(__magic_name__	)

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

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

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


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













from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_snake_case           =			{
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case           =			[
      """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """AutoformerForPrediction""",
      """AutoformerModel""",
      """AutoformerPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_autoformer import (
      AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      AutoformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_autoformer import (
        AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        AutoformerForPrediction,
        AutoformerModel,
        AutoformerPreTrainedModel,
    )

else:
  import sys

  _snake_case           =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






