"""simple docstring"""




from __future__ import annotations

_a				:		Tuple	   =       'Muhammad Umer Farooq'
_a				:		Tuple	   =       'MIT'
_a				:		Optional[Any]	   =       '1.0.0'
_a				:		Tuple	   =       'Muhammad Umer Farooq'
_a				:		int	   =       'contact@muhammadumerfarooq.me'
_a				:		str	   =       'Alpha'

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

import requests
class 						__A							(			SCREAMING_SNAKE_CASE_		):






     def __init__(		self    ,					a__  ):
       super().__init__()
       _lowerCAmelCase						:	list[str]        =					[]
       _lowerCAmelCase						:	Dict        =					domain






     def    __A  (		self    ,					a__    ,					a__  ):
       # 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:
               _lowerCAmelCase						:	str        =					parse.urljoin(self.domain    ,					a__  )
               self.urls.append(a__  )







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





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	str     )	->				str:
  return parse.urlparse(_lowerCamelCase     ).netloc





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	str = "https://github.com"     )	->				list[str]:
  _lowerCAmelCase						:	Any        =					get_domain_name(_lowerCamelCase     )

  # Initialize the parser
  _lowerCAmelCase						:	Any        =					Parser(_lowerCamelCase     )

  try:
    # Open URL
    _lowerCAmelCase						:	List[Any]        =					requests.get(_lowerCamelCase     )

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

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





"""simple docstring"""




import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


_a				:		List[Any]	   =       logging.get_logger(__name__)
class 						__A							:
     _UpperCamelCase							:      str		 =		None







@experimental
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Optional[int]      ,_lowerCamelCase						:	Any      ,_lowerCamelCase						:	Optional[int]      ,_lowerCamelCase						:	List[str]      ,_lowerCamelCase						:	List[Any]      ,_lowerCamelCase						:	Tuple      ,_lowerCamelCase						:	Optional[int]     )	->				List[Any]:
  if ParallelBackendConfig.backend_name is None:
    return _map_with_multiprocessing_pool(
        _lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase     )

  return _map_with_joblib(_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase      ,_lowerCamelCase     )





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	List[str]      ,_lowerCamelCase						:	Optional[Any]      ,_lowerCamelCase						:	str      ,_lowerCamelCase						:	Tuple      ,_lowerCamelCase						:	Any      ,_lowerCamelCase						:	Optional[int]      ,_lowerCamelCase						:	Tuple     )	->				Union[str, Any]:
  _lowerCAmelCase						:	int        =					num_proc if num_proc <= len(_lowerCamelCase     ) else len(_lowerCamelCase     )
  _lowerCAmelCase						:	Union[str, Any]        =					[]  # We organize the splits ourselve (contiguous splits)
  for index in range(_lowerCamelCase     ):
    _lowerCAmelCase						:	List[str]        =					len(_lowerCamelCase     ) // num_proc
    _lowerCAmelCase						:	str        =					len(_lowerCamelCase     ) % num_proc
    _lowerCAmelCase						:	Tuple        =					div * index + min(_lowerCamelCase      ,_lowerCamelCase     )
    _lowerCAmelCase						:	int        =					start + div + (1 if index < mod else 0)
    split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)     )

  if len(_lowerCamelCase     ) != sum(len(i[1]     ) for i in split_kwds     ):
    raise ValueError(
        f"Error dividing inputs iterable among processes. "
        f"Total number of objects {len(_lowerCamelCase     )}, "
        f"length: {sum(len(i[1]     ) for i in split_kwds     )}"     )

  logger.info(
      f"Spawning {num_proc} processes for {len(_lowerCamelCase     )} objects in slices of {[len(i[1]     ) for i in split_kwds]}"     )
  _lowerCAmelCase      ,     _lowerCAmelCase						:	List[str]        =					None, None
  if not disable_tqdm:
    _lowerCAmelCase      ,     _lowerCAmelCase						:	Optional[Any]        =					(RLock(),), tqdm.set_lock
  with Pool(_lowerCamelCase      ,initargs=_lowerCamelCase      ,initializer=_lowerCamelCase     ) as pool:
    _lowerCAmelCase						:	str        =					pool.map(_lowerCamelCase      ,_lowerCamelCase     )
  logger.info(f"Finished {num_proc} processes"     )
  _lowerCAmelCase						:	int        =					[obj for proc_res in mapped for obj in proc_res]
  logger.info(f"Unpacked {len(_lowerCamelCase     )} objects"     )

  return mapped





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	List[str]      ,_lowerCamelCase						:	Union[str, Any]      ,_lowerCamelCase						:	int      ,_lowerCamelCase						:	Dict      ,_lowerCamelCase						:	Tuple      ,_lowerCamelCase						:	Any      ,_lowerCamelCase						:	str     )	->				Optional[Any]:
  # progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib,
  # and it requires monkey-patching joblib internal classes which is subject to change
  import joblib

  with joblib.parallel_backend(ParallelBackendConfig.backend_name      ,n_jobs=_lowerCamelCase     ):
    return joblib.Parallel()(
        joblib.delayed(_lowerCamelCase     )((function, obj, types, None, True, None)     ) for obj in iterable     )






@experimental
@contextlib.contextmanager
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	str     )	->				Any:
  _lowerCAmelCase						:	List[Any]        =					backend_name

  if backend_name == "spark":
    from joblibspark import register_spark

    register_spark()

    # TODO: call create_cache_and_write_probe if "download" in steps
    # TODO: raise NotImplementedError when Dataset.map etc is called

  try:
    yield
  finally:
    _lowerCAmelCase						:	Optional[Any]        =					None




