





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


__lowerCamelCase :  int										=  logging.get_logger(__name__)

__lowerCamelCase :  str										=  {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__lowerCamelCase :  Dict										=  {
    """vocab_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"""
        ),
        """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt""",
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"""
        ),
    },
}

__lowerCamelCase :  List[str]										=  {
    """squeezebert/squeezebert-uncased""": 512,
    """squeezebert/squeezebert-mnli""": 512,
    """squeezebert/squeezebert-mnli-headless""": 512,
}


__lowerCamelCase :  Tuple										=  {
    """squeezebert/squeezebert-uncased""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli-headless""": {"""do_lower_case""": True},
}



class       A__     ( lowercase__    ):

      '''simple docstring'''





      _UpperCAmelCase			:List[Any]							=     VOCAB_FILES_NAMES
      _UpperCAmelCase			:Union[str, Any]							=     PRETRAINED_VOCAB_FILES_MAP
      _UpperCAmelCase			:int							=     PRETRAINED_INIT_CONFIGURATION
      _UpperCAmelCase			:List[Any]							=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _UpperCAmelCase			:Dict							=     SqueezeBertTokenizer





      def __init__(				self ,							A_=None ,							A_=None ,							A_=True ,							A_="[UNK]" ,							A_="[SEP]" ,							A_="[PAD]" ,							A_="[CLS]" ,							A_="[MASK]" ,							A_=True ,							A_=None ,							**A_ ,							):
       '''simple docstring'''




       super().__init__(
           __lowercase ,							tokenizer_file=__lowercase ,							do_lower_case=__lowercase ,							unk_token=__lowercase ,							sep_token=__lowercase ,							pad_token=__lowercase ,							cls_token=__lowercase ,							mask_token=__lowercase ,							tokenize_chinese_chars=__lowercase ,							strip_accents=__lowercase ,							**__lowercase ,							)

       UpperCamelCase			:      Any 			=     json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
       if (
           normalizer_state.get("lowercase" ,							__lowercase     ) != do_lower_case
           or normalizer_state.get("strip_accents" ,							__lowercase     ) != strip_accents
           or normalizer_state.get("handle_chinese_chars" ,							__lowercase     ) != tokenize_chinese_chars
       ):
        UpperCamelCase			:      str 			=     getattr(__lowercase ,							normalizer_state.pop("type"     )     )
        UpperCamelCase			:      Optional[Any] 			=     do_lower_case
        UpperCamelCase			:      Any 			=     strip_accents
        UpperCamelCase			:      Optional[Any] 			=     tokenize_chinese_chars
        UpperCamelCase			:      Optional[Any] 			=     normalizer_class(**__lowercase     )

       UpperCamelCase			:      Any 			=     do_lower_case





      def  __UpperCamelCase(				self ,							A_ ,							A_=None     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[Any] 			=     [self.cls_token_id] + token_ids_a + [self.sep_token_id]

       if token_ids_a:
        output += token_ids_a + [self.sep_token_id]

       return output





      def  __UpperCamelCase(				self ,							A_ ,							A_ = None     ):
       '''simple docstring'''




       UpperCamelCase			:      List[Any] 			=     [self.sep_token_id]
       UpperCamelCase			:      Union[str, Any] 			=     [self.cls_token_id]
       if token_ids_a is None:
        return len(cls + token_ids_a + sep     ) * [0]
       return len(cls + token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]





      def  __UpperCamelCase(				self ,							A_ ,							A_ = None     ):
       '''simple docstring'''




       UpperCamelCase			:      int 			=     self._tokenizer.model.save(__lowercase ,							name=__lowercase     )
       return tuple(__lowercase     )







from __future__ import annotations

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

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

import requests



class       A__     ( __snake_case    ):





      def __init__(				self ,							A_     ):
       '''simple docstring'''




       super().__init__()
       UpperCamelCase			:      list[str] 			=     []
       UpperCamelCase			:      str 			=     domain





      def  __UpperCamelCase(				self ,							A_ ,							A_     ):
       '''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:
           UpperCamelCase			:      Any 			=     parse.urljoin(self.domain ,							A_     )
           self.urls.append(A_     )



def 	A_       (  _lowerCAmelCase  )		->				str:
 return ".".join(get_sub_domain_name(_lowerCAmelCase  ).split("."  )[-2:]  )



def 	A_       (  _lowerCAmelCase  )		->				str:
 return parse.urlparse(_lowerCAmelCase  ).netloc



def 	A_       (  _lowerCAmelCase = "https://github.com"  )		->				list[str]:
 UpperCamelCase			:      int 			=     get_domain_name(_lowerCAmelCase  )

 # Initialize the parser
 UpperCamelCase			:      str 			=     Parser(_lowerCAmelCase  )

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

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

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