




from __future__ import annotations

_lowerCAmelCase						:   List[str]		=   "Muhammad Umer Farooq"
_lowerCAmelCase						:   List[Any]		=   "MIT"
_lowerCAmelCase						:   Any		=   "1.0.0"
_lowerCAmelCase						:   List[str]		=   "Muhammad Umer Farooq"
_lowerCAmelCase						:   Optional[int]		=   "contact@muhammadumerfarooq.me"
_lowerCAmelCase						:   Optional[Any]		=   "Alpha"

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

import requests



class 			_UpperCamelCase      (				lowerCAmelCase		):
      def __init__(			self   :Optional[Any] ,      lowerCamelCase   :str      )     ->			None:
       super().__init__()
       UpperCAmelCase__							 =						[]
       UpperCAmelCase__							 =						domain







      def 	UpperCAmelCase_						(			self   :Dict ,      lowerCamelCase   :str ,      lowerCamelCase   :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__							 =						parse.urljoin(self.domain ,      lowerCamelCase      )
           self.urls.append(lowerCamelCase      )



def 						lowerCAmelCase		(		_lowerCAmelCase							:   str	):




 """simple docstring"""







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



def 						lowerCAmelCase		(		_lowerCAmelCase							:   str	):




 """simple docstring"""







 return parse.urlparse(_lowerCAmelCase	).netloc



def 						lowerCAmelCase		(		_lowerCAmelCase							:   str = "https://github.com"	):




 """simple docstring"""







 UpperCAmelCase__							 =						get_domain_name(_lowerCAmelCase	)

 # Initialize the parser
 UpperCAmelCase__							 =						Parser(_lowerCAmelCase	)

 try:
  # Open URL
  UpperCAmelCase__							 =						requests.get(_lowerCAmelCase	)

  # 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(_lowerCAmelCase	)
    # 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(_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__":
  _lowerCAmelCase						:   List[Any]		=   emails_from_url("https://github.com")
  print(F'''{len(emails)} emails found:''')
  print("\n".join(sorted(emails)))











import torch

from transformers import AutoModel
class 			_UpperCamelCase      (				torch.nn.Module		):
      def __init__(			self   :str ,      lowerCamelCase   :Tuple="sayef/fsner-bert-base-uncased"      )     ->			int:
       super(lowerCamelCase ,      self      ).__init__()

       UpperCAmelCase__							 =						AutoModel.from_pretrained(lowerCamelCase ,      return_dict=lowerCamelCase      )
       UpperCAmelCase__							 =						torch.nn.CosineSimilarity(3 ,      1e-08      )
       UpperCAmelCase__							 =						torch.nn.Softmax(dim=1      )
      def 	UpperCAmelCase_						(			self   :Union[str, Any] ,      **lowerCamelCase   :Tuple      )     ->			Dict:
       return self.bert(**lowerCamelCase      ).last_hidden_state
      def 	UpperCAmelCase_						(			self   :Any ,      lowerCamelCase   :Union[str, Any]      )     ->			Union[str, Any]:
       return token_embeddings.sum(2 ,      keepdim=lowerCamelCase      )
      def 	UpperCAmelCase_						(			self   :Dict ,      lowerCamelCase   :List[Any] ,      lowerCamelCase   :int ,      lowerCamelCase   :Union[str, Any]=1      )     ->			Dict:
       return self.softmax(T * self.cos(lowerCamelCase ,      lowerCamelCase      )      )







      def 	UpperCAmelCase_						(			self   :Union[str, Any] ,      lowerCamelCase   :Any ,      lowerCamelCase   :Any      )     ->			Union[str, Any]:
       UpperCAmelCase__							 =						W_supports["sizes"].tolist()
       UpperCAmelCase__							 =						W_supports["start_token_id"].item()
       UpperCAmelCase__							 =						W_supports["end_token_id"].item()

       del W_supports["sizes"]
       del W_supports["start_token_id"]
       del W_supports["end_token_id"]

       UpperCAmelCase__							 =						self.BERT(**lowerCamelCase      )
       UpperCAmelCase__							 =						self.BERT(**lowerCamelCase      )

       UpperCAmelCase__							 =						None
       UpperCAmelCase__							 =						None

       UpperCAmelCase__							 =						W_supports["input_ids"] == start_token_id
       UpperCAmelCase__							 =						W_supports["input_ids"] == end_token_id

       for i, size in enumerate(lowerCamelCase      ):
        if i == 0:
         UpperCAmelCase__							 =						0
        else:
         UpperCAmelCase__							 =						support_sizes[i - 1]

        UpperCAmelCase__							 =						S[s : s + size][start_token_masks[s : s + size]]
        UpperCAmelCase__							 =						S[s : s + size][end_token_masks[s : s + size]]

        UpperCAmelCase__							 =						torch.matmul(q[i] ,      s_start.T      ).sum(1      ).softmax(0      )
        UpperCAmelCase__							 =						torch.matmul(q[i] ,      s_end.T      ).sum(1      ).softmax(0      )

        if p_starts is not None:
         UpperCAmelCase__							 =						torch.vstack((p_starts, p_start)      )
         UpperCAmelCase__							 =						torch.vstack((p_ends, p_end)      )
        else:
         UpperCAmelCase__							 =						p_start
         UpperCAmelCase__							 =						p_end

       return p_starts, p_ends





