

'''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'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase			:				Tuple 			=					{
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				Optional[int] 			=					["BlenderbotTokenizerFast"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				Tuple 			=					[
         "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "BlenderbotForCausalLM",
         "BlenderbotForConditionalGeneration",
         "BlenderbotModel",
         "BlenderbotPreTrainedModel",
     ]


try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				Tuple 			=					[
         "TFBlenderbotForConditionalGeneration",
         "TFBlenderbotModel",
         "TFBlenderbotPreTrainedModel",
     ]


try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				str 			=					[
         "FlaxBlenderbotForConditionalGeneration",
         "FlaxBlenderbotModel",
         "FlaxBlenderbotPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_blenderbot import (
         BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         BlenderbotConfig,
         BlenderbotOnnxConfig,
     )
     from .tokenization_blenderbot import BlenderbotTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_blenderbot import (
              BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BlenderbotForCausalLM,
              BlenderbotForConditionalGeneration,
              BlenderbotModel,
              BlenderbotPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_blenderbot import (
              TFBlenderbotForConditionalGeneration,
              TFBlenderbotModel,
              TFBlenderbotPreTrainedModel,
          )

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_blenderbot import (
              FlaxBlenderbotForConditionalGeneration,
              FlaxBlenderbotModel,
              FlaxBlenderbotPreTrainedModel,
          )

else:
     import sys

     lowerCamelCase			:				Dict 			=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
