


'''simple docstring'''



from ...configuration_utils import PretrainedConfig



class      a    (		_a	):


     """simple docstring"""






     SCREAMING_SNAKE_CASE	:			Dict							       =       "bert-generation"

     def __init__(    self					:		List[Any]							,			snake_case					:		Optional[int]=5_0358							,			snake_case					:		int=1024							,			snake_case					:		List[Any]=24							,			snake_case					:		Tuple=16							,			snake_case					:		List[Any]=4096							,			snake_case					:		List[Any]="gelu"							,			snake_case					:		Tuple=0.1							,			snake_case					:		List[str]=0.1							,			snake_case					:		str=512							,			snake_case					:		Tuple=0.02							,			snake_case					:		Dict=1E-12							,			snake_case					:		List[str]=0							,			snake_case					:		List[str]=2							,			snake_case					:		List[str]=1							,			snake_case					:		Optional[Any]="absolute"							,			snake_case					:		Tuple=True							,			**snake_case					:		Union[str, Any]							,			)						->							Any:
          super().__init__(pad_token_id=snake_case							,			bos_token_id=snake_case							,			eos_token_id=snake_case							,			**snake_case      )

          __UpperCAmelCase     :			Optional[Any]  							=      vocab_size
          __UpperCAmelCase     :			List[Any]  							=      hidden_size
          __UpperCAmelCase     :			Optional[int]  							=      num_hidden_layers
          __UpperCAmelCase     :			Optional[Any]  							=      num_attention_heads
          __UpperCAmelCase     :			Tuple  							=      hidden_act
          __UpperCAmelCase     :			Any  							=      intermediate_size
          __UpperCAmelCase     :			str  							=      hidden_dropout_prob
          __UpperCAmelCase     :			str  							=      attention_probs_dropout_prob
          __UpperCAmelCase     :			Dict  							=      max_position_embeddings
          __UpperCAmelCase     :			int  							=      initializer_range
          __UpperCAmelCase     :			Union[str, Any]  							=      layer_norm_eps
          __UpperCAmelCase     :			Optional[int]  							=      position_embedding_type
          __UpperCAmelCase     :			int  							=      use_cache



'''simple docstring'''



from __future__ import annotations

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

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

import requests



class      a    (		_a	):


     """simple docstring"""






     def __init__(    self					:		Tuple							,			snake_case					:		str      )						->							None:
          super().__init__()
          __UpperCAmelCase     :			list[str]  							=      []
          __UpperCAmelCase     :			Optional[int]  							=      domain






     def 			lowerCamelCase__			(    self					:		Union[str, Any]							,			snake_case					:		str							,			snake_case					:		list[tuple[str, str | None]]      )						->							None:
          # 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     :			Optional[Any]  							=      parse.urljoin(self.domain							,			snake_case      )
                              self.urls.append(snake_case      )




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






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




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






     return parse.urlparse(_lowercase  ).netloc




def      _a     (						_lowercase :     str = "https://github.com"  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      get_domain_name(_lowercase  )

     # Initialize the parser
     __UpperCAmelCase     :			Dict  							=      Parser(_lowercase  )

     try:
          # Open URL
          __UpperCAmelCase     :			Dict  							=      requests.get(_lowercase  )

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

          # Get links and loop through
          __UpperCAmelCase     :			str  							=      set()
          for link in parser.urls:
               # open URL.
               # read = requests.get(link)
               try:
                    __UpperCAmelCase     :			Tuple  							=      requests.get(_lowercase  )
                    # Get the valid email.
                    __UpperCAmelCase     :			Dict  							=      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__":
      __UpperCAmelCase      :List[str]			    =       emails_from_url("https://github.com")
      print(f"""{len(emails)} emails found:""")
      print("\n".join(sorted(emails)))