

'''simple docstring'''
from __future__ import annotations

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

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

import requests







class 							A__   (	A__  ):





  def __init__(		self				:     int							, _a				:     str			)     ->   None:





       '''simple docstring'''






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





  def 						A  (		self				:     Optional[int]							, _a				:     str							, _a				:     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:
                           _SCREAMING_SNAKE_CASE							   =parse.urljoin(self.domain							, _a			)
                           self.urls.append(_a			)


def 	_lowerCAmelCase (						_UpperCamelCase						:					str    )				->      str:
     """simple docstring"""




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


def 	_lowerCAmelCase (						_UpperCamelCase						:					str    )				->      str:
     """simple docstring"""




     return parse.urlparse(_UpperCamelCase    ).netloc


def 	_lowerCAmelCase (						_UpperCamelCase						:					str = "https://github.com"    )				->      list[str]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =get_domain_name(_UpperCamelCase    )

     # Initialize the parser
     _SCREAMING_SNAKE_CASE							   =Parser(_UpperCamelCase    )

     try:
          # Open URL
          _SCREAMING_SNAKE_CASE							   =requests.get(_UpperCamelCase    )

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

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

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


if __name__ == "__main__":
     lowerCamelCase			:				Optional[int] 			=					emails_from_url("https://github.com")
     print(f'''{len(emails)} emails found:''')
     print("\n".join(sorted(emails)))



'''simple docstring'''
import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", datefmt="%m/%d/%Y %H:%M:%S", level=logging.INFO
)
lowerCamelCase			:				int 			=					logging.getLogger(__name__)

if __name__ == "__main__":
     lowerCamelCase			:				Optional[Any] 			=					argparse.ArgumentParser(
         description="Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)"
     )
     parser.add_argument(
         "--data_file", type=str, default="data/dump.bert-base-uncased.pickle", help="The binarized dataset."
     )
     parser.add_argument(
         "--token_counts_dump", type=str, default="data/token_counts.bert-base-uncased.pickle", help="The dump file."
     )
     parser.add_argument("--vocab_size", default=3_0_5_2_2, type=int)
     lowerCamelCase			:				Optional[Any] 			=					parser.parse_args()

     logger.info(f'''Loading data from {args.data_file}''')
     with open(args.data_file, "rb") as fp:
          lowerCamelCase			:				Optional[int] 			=					pickle.load(fp)

     logger.info("Counting occurrences for MLM.")
     lowerCamelCase			:				Dict 			=					Counter()
     for tk_ids in data:
          counter.update(tk_ids)
     lowerCamelCase			:				Tuple 			=					[0] * args.vocab_size
     for k, v in counter.items():
          lowerCamelCase			:				Any 			=					v

     logger.info(f'''Dump to {args.token_counts_dump}''')
     with open(args.token_counts_dump, "wb") as handle:
          pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)
