from __future__ import annotations

_lowercase							:      Optional[Any]      							='''Muhammad Umer Farooq'''
_lowercase							:      Dict      							='''MIT'''
_lowercase							:      Optional[int]      							='''1.0.0'''
_lowercase							:      Union[str, Any]      							='''Muhammad Umer Farooq'''
_lowercase							:      Optional[Any]      							='''contact@muhammadumerfarooq.me'''
_lowercase							:      Dict      							='''Alpha'''

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

import requests



class  SCREAMING_SNAKE_CASE_ (					lowerCAmelCase_			):
  '''simple docstring'''


  def __init__(				self    :					Dict      ,	SCREAMING_SNAKE_CASE__    :					str     )    ->				None:
         super().__init__()
         A						:     list[str]         =[]
         A						:     List[Any]         =domain







  def 		SCREAMING_SNAKE_CASE_		(				self    :					int      ,	SCREAMING_SNAKE_CASE__    :					str      ,	SCREAMING_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:
                                     A						:     int         =parse.urljoin(self.domain      ,	SCREAMING_SNAKE_CASE__     )
                                     self.urls.append(SCREAMING_SNAKE_CASE__     )







def A__  (			lowercase:     str					)				->		str:
       return ".".join(get_sub_domain_name(lowercase					).split('.'					)[-2:]					)



def A__  (			lowercase:     str					)				->		str:
       return parse.urlparse(lowercase					).netloc



def A__  (			lowercase:     str = "https://github.com"					)				->		list[str]:
       A						:     List[str]         =get_domain_name(lowercase					)

       # Initialize the parser
       A						:     str         =Parser(lowercase					)

       try:
              # Open URL
              A						:     Tuple         =requests.get(lowercase					)

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

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







import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


_lowercase							:      Any      							=logging.getLogger(__name__)



@dataclass
class  SCREAMING_SNAKE_CASE_ (					lowerCAmelCase_			):
  '''simple docstring'''


  lowercase		:     Optional[float]            =				field(
      default=0.0   ,						metadata={"help": "The label smoothing epsilon to apply (if not zero)."}			)
  lowercase		:     bool            =				field(default=lowerCAmelCase_   ,						metadata={"help": "Whether to SortishSamler or not."}			)
  lowercase		:     bool            =				field(
      default=lowerCAmelCase_   ,						metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}			)
  lowercase		:     bool            =				field(default=lowerCAmelCase_   ,						metadata={"help": "whether to use adafactor"}			)
  lowercase		:     Optional[float]            =				field(
      default=lowerCAmelCase_   ,						metadata={"help": "Encoder layer dropout probability. Goes into model.config."}			)
  lowercase		:     Optional[float]            =				field(
      default=lowerCAmelCase_   ,						metadata={"help": "Decoder layer dropout probability. Goes into model.config."}			)
  lowercase		:     Optional[float]            =				field(default=lowerCAmelCase_   ,						metadata={"help": "Dropout probability. Goes into model.config."}			)
  lowercase		:     Optional[float]            =				field(
      default=lowerCAmelCase_   ,						metadata={"help": "Attention dropout probability. Goes into model.config."}			)
  lowercase		:     Optional[str]            =				field(
      default="linear"   ,						metadata={"help": f'Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()			)}'}   ,						)






