






'''simple docstring'''







import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
			from transformers.pipelines.conversational import Conversation


_A	:			Union[str, Any]         =logging.get_logger(__name__)

_A	:			Union[str, Any]         ={'''tokenizer_file''': '''tokenizer.json'''}

_A	:			List[Any]         ={
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}

class _lowercase	(				_lowercase		):
							a				      =       VOCAB_FILES_NAMES
							a				      =       PRETRAINED_VOCAB_FILES_MAP
							a				      =       ["""input_ids""", """attention_mask"""]
							a				      =       None




							def __init__(							self:				Dict			,							UpperCamelCase__:				str=None			,							UpperCamelCase__:				Dict=None			,							UpperCamelCase__:				Dict=None			,							UpperCamelCase__:				int="<unk>"			,							UpperCamelCase__:				str="<s>"			,							UpperCamelCase__:				str="</s>"			,							UpperCamelCase__:				Dict="<pad>"			,							UpperCamelCase__:				Optional[int]=False			,							UpperCamelCase__:				Union[str, Any]=False			,							**UpperCamelCase__:				Optional[int]			,							):
														super().__init__(
														    __UpperCAmelCase			,							__UpperCAmelCase			,							tokenizer_file=__UpperCAmelCase			,							unk_token=__UpperCAmelCase			,							bos_token=__UpperCAmelCase			,							eos_token=__UpperCAmelCase			,							pad_token=__UpperCAmelCase			,							add_prefix_space=__UpperCAmelCase			,							clean_up_tokenization_spaces=__UpperCAmelCase			,							**__UpperCAmelCase			,							)
														lowerCamelCase__					:	Tuple         =       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
														if pre_tok_state.get("""add_prefix_space"""			,							__UpperCAmelCase     ) != add_prefix_space:
																					lowerCamelCase__					:	List[Any]         =       getattr(__UpperCAmelCase			,							pre_tok_state.pop("""type"""     )     )
																					lowerCamelCase__					:	str         =       add_prefix_space
																					lowerCamelCase__					:	List[Any]         =       pre_tok_class(**__UpperCAmelCase     )

														lowerCamelCase__					:	Tuple         =       add_prefix_space




							def 		lowerCamelCase_				(							self:				Optional[int]			,							*UpperCamelCase__:				Optional[int]			,							**UpperCamelCase__:				int     ):
														lowerCamelCase__					:	str         =       kwargs.get("""is_split_into_words"""			,							__UpperCAmelCase     )
														if not (self.add_prefix_space or not is_split_into_words):
																					raise Exception(
																					    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
																					    """ pretokenized inputs."""     )

														return super()._batch_encode_plus(*__UpperCAmelCase			,							**__UpperCAmelCase     )




							def 		lowerCamelCase_				(							self:				Optional[int]			,							*UpperCamelCase__:				Tuple			,							**UpperCamelCase__:				Optional[int]     ):
														lowerCamelCase__					:	Union[str, Any]         =       kwargs.get("""is_split_into_words"""			,							__UpperCAmelCase     )

														if not (self.add_prefix_space or not is_split_into_words):
																					raise Exception(
																					    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
																					    """ pretokenized inputs."""     )

														return super()._encode_plus(*__UpperCAmelCase			,							**__UpperCAmelCase     )




							def 		lowerCamelCase_				(							self:				Union[str, Any]			,							UpperCamelCase__:				str			,							UpperCamelCase__:				Optional[str] = None     ):
														lowerCamelCase__					:	Dict         =       self._tokenizer.model.save(__UpperCAmelCase			,							name=__UpperCAmelCase     )
														return tuple(__UpperCAmelCase     )




							def 		lowerCamelCase_				(							self:				Optional[int]			,							UpperCamelCase__:				"Conversation"     ):
														lowerCamelCase__					:	Optional[Any]         =       []
														for is_user, text in conversation.iter_texts():
																					input_ids.extend(self.encode(__UpperCAmelCase			,							add_special_tokens=__UpperCAmelCase     ) + [self.eos_token_id]     )

														if len(__UpperCAmelCase     ) > self.model_max_length:
																					lowerCamelCase__					:	List[Any]         =       input_ids[-self.model_max_length :]
														return input_ids









from __future__ import annotations

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

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

import requests






class 		lowercase_					(	lowercase   ):






      '''simple docstring'''




      def __init__(      self      :						Union[str, Any] ,					__UpperCAmelCase      :						str  )    ->None:




       """simple docstring"""


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







      def       __lowerCAmelCase					(      self      :						List[str] ,					__UpperCAmelCase      :						str ,					__UpperCAmelCase      :						list[tuple[str, str | None]]  )    ->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:
           a		  =      parse.urljoin(self.domain ,					__UpperCAmelCase  )
           self.urls.append(__UpperCAmelCase  )
def 						_a    (      a :str )							->			str:
 return ".".join(get_sub_domain_name(a ).split('''.''' )[-2:] )
def 						_a    (      a :str )							->			str:
 return parse.urlparse(a ).netloc
def 						_a    (      a :str = "https://github.com" )							->			list[str]:
 a		  =      get_domain_name(a )

 # Initialize the parser
 a		  =      Parser(a )

 try:
  # Open URL
  a		  =      requests.get(a )

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

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

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


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


