


'''simple docstring'''



import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


__UpperCAmelCase      :Any			    =       NewType("DataClass", Any)
__UpperCAmelCase      :Optional[int]			    =       NewType("DataClassType", Any)




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






     if isinstance(_lowercase      , _lowercase  ):
          return v
     if v.lower() in ("yes", "true", "t", "y", "1"):
          return True
     elif v.lower() in ("no", "false", "f", "n", "0"):
          return False
     else:
          raise ArgumentTypeError(
              F'Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'  )




def      _a     (						_lowercase :     list  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Tuple  							=      {str(_lowercase  ): choice for choice in choices}
     return lambda _lowercase  : str_to_choice.get(_lowercase      , _lowercase  )




def      _a     (						*,
    _lowercase :     Union[str, List[str]] = None      , _lowercase :     str = None      , _lowercase :     Any = dataclasses.MISSING      , _lowercase :     Callable[[], Any] = dataclasses.MISSING      , _lowercase :     dict = None      , **_lowercase :     int      , ):





     '''simple docstring'''






     if metadata is None:
          # Important, don't use as default param in function signature because dict is mutable and shared across function calls
          __UpperCAmelCase     :			Dict  							=      {}
     if aliases is not None:
          __UpperCAmelCase     :			Any  							=      aliases
     if help is not None:
          __UpperCAmelCase     :			Optional[int]  							=      help

     return dataclasses.field(metadata=_lowercase      , default=_lowercase      , default_factory=_lowercase      , **_lowercase  )



class      a    (		_a	):


     """simple docstring"""






     SCREAMING_SNAKE_CASE	:			Iterable[DataClassType]

     def __init__(    self					:		Tuple							,			snake_case					:		Union[DataClassType, Iterable[DataClassType]]							,			**snake_case					:		Any      )						->							Optional[int]:
          # To make the default appear when using --help
          if "formatter_class" not in kwargs:
               __UpperCAmelCase     :			List[Any]  							=      ArgumentDefaultsHelpFormatter
          super().__init__(**snake_case      )
          if dataclasses.is_dataclass(snake_case      ):
               __UpperCAmelCase     :			Union[str, Any]  							=      [dataclass_types]
          __UpperCAmelCase     :			Any  							=      list(snake_case      )
          for dtype in self.dataclass_types:
               self._add_dataclass_arguments(snake_case      )

     @staticmethod
     def 			lowerCamelCase__			(    snake_case					:		ArgumentParser							,			snake_case					:		dataclasses.Field      )						->							Union[str, Any]:
          __UpperCAmelCase     :			Tuple  							=      f'--{field.name}'
          __UpperCAmelCase     :			Dict  							=      field.metadata.copy()
          # field.metadata is not used at all by Data Classes,
          # it is provided as a third-party extension mechanism.
          if isinstance(field.type							,			snake_case      ):
               raise RuntimeError(
                   '''Unresolved type detected, which should have been done with the help of '''
                   '''`typing.get_type_hints` method by default'''      )

          __UpperCAmelCase     :			Optional[int]  							=      kwargs.pop('''aliases'''							,			[]      )
          if isinstance(snake_case							,			snake_case      ):
               __UpperCAmelCase     :			Tuple  							=      [aliases]

          __UpperCAmelCase     :			Tuple  							=      getattr(field.type							,			'''__origin__'''							,			field.type      )
          if origin_type is Union or (hasattr(snake_case							,			'''UnionType'''      ) and isinstance(snake_case							,			types.UnionType      )):
               if str not in field.type.__args__ and (
                   len(field.type.__args__      ) != 2 or type(snake_case      ) not in field.type.__args__
               ):
                    raise ValueError(
                        '''Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because'''
                        ''' the argument parser only supports one type per argument.'''
                        f' Problem encountered in field \'{field.name}\'.'      )
               if type(snake_case      ) not in field.type.__args__:
                    # filter `str` in Union
                    __UpperCAmelCase     :			str  							=      field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
                    __UpperCAmelCase     :			List[str]  							=      getattr(field.type							,			'''__origin__'''							,			field.type      )
               elif bool not in field.type.__args__:
                    # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
                    __UpperCAmelCase     :			Union[str, Any]  							=      (
                        field.type.__args__[0] if isinstance(snake_case							,			field.type.__args__[1]      ) else field.type.__args__[1]
                    )
                    __UpperCAmelCase     :			Dict  							=      getattr(field.type							,			'''__origin__'''							,			field.type      )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
          __UpperCAmelCase     :			Optional[Any]  							=      {}
          if origin_type is Literal or (isinstance(field.type							,			snake_case      ) and issubclass(field.type							,			snake_case      )):
               if origin_type is Literal:
                    __UpperCAmelCase     :			str  							=      field.type.__args__
               else:
                    __UpperCAmelCase     :			int  							=      [x.value for x in field.type]

               __UpperCAmelCase     :			List[str]  							=      make_choice_type_function(kwargs['''choices''']      )

               if field.default is not dataclasses.MISSING:
                    __UpperCAmelCase     :			Union[str, Any]  							=      field.default
               else:
                    __UpperCAmelCase     :			List[Any]  							=      True
          elif field.type is bool or field.type == Optional[bool]:
               # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
               # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
               __UpperCAmelCase     :			Optional[Any]  							=      copy(snake_case      )

               # Hack because type=bool in argparse does not behave as we want.
               __UpperCAmelCase     :			Tuple  							=      string_to_bool
               if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
                    # Default value is False if we have no default when of type bool.
                    __UpperCAmelCase     :			Optional[Any]  							=      False if field.default is dataclasses.MISSING else field.default
                    # This is the value that will get picked if we don't include --field_name in any way
                    __UpperCAmelCase     :			Optional[int]  							=      default
                    # This tells argparse we accept 0 or 1 value after --field_name
                    __UpperCAmelCase     :			Optional[Any]  							=      '''?'''
                    # This is the value that will get picked if we do --field_name (without value)
                    __UpperCAmelCase     :			Optional[int]  							=      True
          elif isclass(snake_case      ) and issubclass(snake_case							,			snake_case      ):
               __UpperCAmelCase     :			str  							=      field.type.__args__[0]
               __UpperCAmelCase     :			Union[str, Any]  							=      '''+'''
               if field.default_factory is not dataclasses.MISSING:
                    __UpperCAmelCase     :			Any  							=      field.default_factory()
               elif field.default is dataclasses.MISSING:
                    __UpperCAmelCase     :			Dict  							=      True
          else:
               __UpperCAmelCase     :			List[str]  							=      field.type
               if field.default is not dataclasses.MISSING:
                    __UpperCAmelCase     :			Any  							=      field.default
               elif field.default_factory is not dataclasses.MISSING:
                    __UpperCAmelCase     :			Dict  							=      field.default_factory()
               else:
                    __UpperCAmelCase     :			Union[str, Any]  							=      True
          parser.add_argument(snake_case							,			*snake_case							,			**snake_case      )

          # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
          # Order is important for arguments with the same destination!
          # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
          # here and we do not need those changes/additional keys.
          if field.default is True and (field.type is bool or field.type == Optional[bool]):
               __UpperCAmelCase     :			int  							=      False
               parser.add_argument(f'--no_{field.name}'							,			action='''store_false'''							,			dest=field.name							,			**snake_case      )

     def 			lowerCamelCase__			(    self					:		int							,			snake_case					:		DataClassType      )						->							str:
          if hasattr(snake_case							,			'''_argument_group_name'''      ):
               __UpperCAmelCase     :			Optional[int]  							=      self.add_argument_group(dtype._argument_group_name      )
          else:
               __UpperCAmelCase     :			Any  							=      self

          try:
               __UpperCAmelCase     :			Dict[str, type]  							=      get_type_hints(snake_case      )
          except NameError:
               raise RuntimeError(
                   f'Type resolution failed for {dtype}. Try declaring the class in global scope or '
                   '''removing line of `from __future__ import annotations` which opts in Postponed '''
                   '''Evaluation of Annotations (PEP 563)'''      )
          except TypeError as ex:
               # Remove this block when we drop Python 3.9 support
               if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(snake_case      ):
                    __UpperCAmelCase     :			Optional[Any]  							=      '''.'''.join(map(snake_case							,			sys.version_info[:3]      )      )
                    raise RuntimeError(
                        f'Type resolution failed for {dtype} on Python {python_version}. Try removing '
                        '''line of `from __future__ import annotations` which opts in union types as '''
                        '''`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To '''
                        '''support Python versions that lower than 3.10, you need to use '''
                        '''`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of '''
                        '''`X | None`.'''      ) from ex
               raise

          for field in dataclasses.fields(snake_case      ):
               if not field.init:
                    continue
               __UpperCAmelCase     :			int  							=      type_hints[field.name]
               self._parse_dataclass_field(snake_case							,			snake_case      )

     def 			lowerCamelCase__			(    self					:		Any							,			snake_case					:		Dict=None							,			snake_case					:		Any=False							,			snake_case					:		Dict=True							,			snake_case					:		Dict=None							,			snake_case					:		Optional[Any]=None							,			)						->							Tuple[DataClass, ...]:

          if args_file_flag or args_filename or (look_for_args_file and len(sys.argv      )):
               __UpperCAmelCase     :			Tuple  							=      []

               if args_filename:
                    args_files.append(Path(snake_case      )      )
               elif look_for_args_file and len(sys.argv      ):
                    args_files.append(Path(sys.argv[0]      ).with_suffix('''.args'''      )      )

               # args files specified via command line flag should overwrite default args files so we add them last
               if args_file_flag:
                    # Create special parser just to extract the args_file_flag values
                    __UpperCAmelCase     :			str  							=      ArgumentParser()
                    args_file_parser.add_argument(snake_case							,			type=snake_case							,			action='''append'''      )

                    # Use only remaining args for further parsing (remove the args_file_flag)
                    __UpperCAmelCase							,       __UpperCAmelCase     :			List[Any]  							=      args_file_parser.parse_known_args(args=snake_case      )
                    __UpperCAmelCase     :			List[Any]  							=      vars(snake_case      ).get(args_file_flag.lstrip('''-'''      )							,			snake_case      )

                    if cmd_args_file_paths:
                         args_files.extend([Path(snake_case      ) for p in cmd_args_file_paths]      )

               __UpperCAmelCase     :			Dict  							=      []
               for args_file in args_files:
                    if args_file.exists():
                         file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
               __UpperCAmelCase     :			int  							=      file_args + args if args is not None else file_args + sys.argv[1:]
          __UpperCAmelCase							,       __UpperCAmelCase     :			Tuple  							=      self.parse_known_args(args=snake_case      )
          __UpperCAmelCase     :			Union[str, Any]  							=      []
          for dtype in self.dataclass_types:
               __UpperCAmelCase     :			int  							=      {f.name for f in dataclasses.fields(snake_case      ) if f.init}
               __UpperCAmelCase     :			Optional[int]  							=      {k: v for k, v in vars(snake_case      ).items() if k in keys}
               for k in keys:
                    delattr(snake_case							,			snake_case      )
               __UpperCAmelCase     :			Any  							=      dtype(**snake_case      )
               outputs.append(snake_case      )
          if len(namespace.__dict__      ) > 0:
               # additional namespace.
               outputs.append(snake_case      )
          if return_remaining_strings:
               return (*outputs, remaining_args)
          else:
               if remaining_args:
                    raise ValueError(f'Some specified arguments are not used by the HfArgumentParser: {remaining_args}'      )

               return (*outputs,)

     def 			lowerCamelCase__			(    self					:		int							,			snake_case					:		Dict[str, Any]							,			snake_case					:		bool = False      )						->							Tuple[DataClass, ...]:
          __UpperCAmelCase     :			Any  							=      set(args.keys()      )
          __UpperCAmelCase     :			Union[str, Any]  							=      []
          for dtype in self.dataclass_types:
               __UpperCAmelCase     :			int  							=      {f.name for f in dataclasses.fields(snake_case      ) if f.init}
               __UpperCAmelCase     :			int  							=      {k: v for k, v in args.items() if k in keys}
               unused_keys.difference_update(inputs.keys()      )
               __UpperCAmelCase     :			Dict  							=      dtype(**snake_case      )
               outputs.append(snake_case      )
          if not allow_extra_keys and unused_keys:
               raise ValueError(f'Some keys are not used by the HfArgumentParser: {sorted(snake_case      )}'      )
          return tuple(snake_case      )

     def 			lowerCamelCase__			(    self					:		Optional[int]							,			snake_case					:		str							,			snake_case					:		bool = False      )						->							Tuple[DataClass, ...]:
          with open(Path(snake_case      )							,			encoding='''utf-8'''      ) as open_json_file:
               __UpperCAmelCase     :			int  							=      json.loads(open_json_file.read()      )
          __UpperCAmelCase     :			Optional[int]  							=      self.parse_dict(snake_case							,			allow_extra_keys=snake_case      )
          return tuple(snake_case      )






     def 			lowerCamelCase__			(    self					:		Union[str, Any]							,			snake_case					:		str							,			snake_case					:		bool = False      )						->							Tuple[DataClass, ...]:
          __UpperCAmelCase     :			Optional[int]  							=      self.parse_dict(yaml.safe_load(Path(snake_case      ).read_text()      )							,			allow_extra_keys=snake_case      )
          return tuple(snake_case      )



'''simple docstring'''



from __future__ import annotations

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

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

import requests



class      a    (		_a	):


     """simple docstring"""






     def __init__(    self					:		Tuple							,			snake_case					:		str      )						->							None:
          super().__init__()
          __UpperCAmelCase     :			list[str]  							=      []
          __UpperCAmelCase     :			Optional[int]  							=      domain






     def 			lowerCamelCase__			(    self					:		Union[str, Any]							,			snake_case					:		str							,			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:
                              __UpperCAmelCase     :			Optional[Any]  							=      parse.urljoin(self.domain							,			snake_case      )
                              self.urls.append(snake_case      )




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






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




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






     return parse.urlparse(_lowercase  ).netloc




def      _a     (						_lowercase :     str = "https://github.com"  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      get_domain_name(_lowercase  )

     # Initialize the parser
     __UpperCAmelCase     :			Dict  							=      Parser(_lowercase  )

     try:
          # Open URL
          __UpperCAmelCase     :			Dict  							=      requests.get(_lowercase  )

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

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