from __future__ import annotations

a  :      Optional[Any]            =    """Muhammad Umer Farooq"""
a  :      Dict            =    """MIT"""
a  :      Tuple            =    """1.0.0"""
a  :      Optional[Any]            =    """Muhammad Umer Farooq"""
a  :      Dict            =    """contact@muhammadumerfarooq.me"""
a  :      Optional[int]            =    """Alpha"""

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

import requests

class 					_lowercase    (     UpperCAmelCase__			):






    '''simple docstring'''




    def __init__(    self       ,						lowerCamelCase__ ):
       super().__init__()
       lowerCAmelCase_:							list[str]       =	[]
       lowerCAmelCase_:							int       =	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:
                   lowerCAmelCase_:							Optional[Any]       =	parse.urljoin(self.domain       ,						lowerCamelCase__ )
                   self.urls.append(lowerCamelCase__ )





def 		snake_case__	(		lowercase					):
   return ".".join(get_sub_domain_name(lowercase					).split("."					)[-2:]					)
def 		snake_case__	(		lowercase					):
   return parse.urlparse(lowercase					).netloc
def 		snake_case__	(		lowercase = "https://github.com"					):
   lowerCAmelCase_:							int       =	get_domain_name(lowercase					)

   # Initialize the parser
   lowerCAmelCase_:							Optional[int]       =	Parser(lowercase					)

   try:
      # Open URL
      lowerCAmelCase_:							int       =	requests.get(lowercase					)

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

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

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


if __name__ == "__main__":
 a  :      int            =    emails_from_url("""https://github.com""")
 print(f'''{len(emails)} emails found:''')
 print("""\n""".join(sorted(emails)))
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a  :      int            =    {
    """configuration_bridgetower""": [
        """BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BridgeTowerConfig""",
        """BridgeTowerTextConfig""",
        """BridgeTowerVisionConfig""",
    ],
    """processing_bridgetower""": ["""BridgeTowerProcessor"""],
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a  :      Any            =    ["""BridgeTowerImageProcessor"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a  :      str            =    [
     """BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """BridgeTowerForContrastiveLearning""",
     """BridgeTowerForImageAndTextRetrieval""",
     """BridgeTowerForMaskedLM""",
     """BridgeTowerModel""",
     """BridgeTowerPreTrainedModel""",
 ]


if TYPE_CHECKING:
 from .configuration_bridgetower import (
     BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BridgeTowerConfig,
     BridgeTowerTextConfig,
     BridgeTowerVisionConfig,
 )
 from .processing_bridgetower import BridgeTowerProcessor

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .image_processing_bridgetower import BridgeTowerImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bridgetower import (
      BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
      BridgeTowerForContrastiveLearning,
      BridgeTowerForImageAndTextRetrieval,
      BridgeTowerForMaskedLM,
      BridgeTowerModel,
      BridgeTowerPreTrainedModel,
  )


else:
 import sys

 a  :      List[Any]            =    _LazyModule(__name__, globals()["""__file__"""], _import_structure)