





from __future__ import annotations

_lowercase		:  List[Any]			       ="""Muhammad Umer Farooq"""
_lowercase		:  Any			       ="""MIT"""
_lowercase		:  List[Any]			       ="""1.0.0"""
_lowercase		:  Dict			       ="""Muhammad Umer Farooq"""
_lowercase		:  int			       ="""contact@muhammadumerfarooq.me"""
_lowercase		:  Tuple			       ="""Alpha"""

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

import requests






class 						UpperCamelCase_  (  snake_case__							):



					def __init__(		self     :     Union[str, Any]       ,      lowerCamelCase     :     str						):
							super().__init__()
							lowerCamelCase_	:     list[str] 						=      []
							lowerCamelCase_	:     Dict 						=      domain





					def   __a     (		self     :     Optional[int]       ,      lowerCamelCase     :     str       ,      lowerCamelCase     :     list[tuple[str, str | 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:
															lowerCamelCase_	:     List[str] 						=      parse.urljoin(self.domain       ,      lowerCamelCase						)
															self.urls.append(lowerCamelCase						)


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):
		return ".".join(get_sub_domain_name(lowerCAmelCase__						).split('.'						)[-2:]						)


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):
		return parse.urlparse(lowerCAmelCase__						).netloc


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__ = "https://github.com"						):
		lowerCamelCase_	:     Optional[int] 						=      get_domain_name(lowerCAmelCase__						)

		# Initialize the parser
		lowerCamelCase_	:     Tuple 						=      Parser(lowerCAmelCase__						)

		try:
				# Open URL
				lowerCamelCase_	:     Any 						=      requests.get(lowerCAmelCase__						)

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

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







from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


if TYPE_CHECKING:
		from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


_lowercase		:  Tuple			       =logging.get_logger(__name__)

_lowercase		:  Any			       ={
    """microsoft/deberta-v2-xlarge""": """https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xxlarge""": """https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json"""
    ),
    """microsoft/deberta-v2-xxlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json"""
    ),
}






class 						UpperCamelCase_  (  snake_case__							):
					_a      :						int						    =					'deberta-v2'



					def __init__(		self     :     Any       ,      lowerCamelCase     :     Dict=12_81_00       ,      lowerCamelCase     :     List[Any]=15_36       ,      lowerCamelCase     :     Union[str, Any]=24       ,      lowerCamelCase     :     Union[str, Any]=24       ,      lowerCamelCase     :     Optional[int]=61_44       ,      lowerCamelCase     :     Any="gelu"       ,      lowerCamelCase     :     int=0.1       ,      lowerCamelCase     :     str=0.1       ,      lowerCamelCase     :     Optional[int]=5_12       ,      lowerCamelCase     :     str=0       ,      lowerCamelCase     :     Union[str, Any]=0.02       ,      lowerCamelCase     :     List[str]=1E-7       ,      lowerCamelCase     :     Dict=False       ,      lowerCamelCase     :     List[Any]=-1       ,      lowerCamelCase     :     Union[str, Any]=0       ,      lowerCamelCase     :     Optional[int]=True       ,      lowerCamelCase     :     Optional[int]=None       ,      lowerCamelCase     :     Tuple=0       ,      lowerCamelCase     :     Tuple="gelu"       ,      **lowerCamelCase     :     Optional[int]       ,      ):
							super().__init__(**lowerCamelCase						)

							lowerCamelCase_	:     Any 						=      hidden_size
							lowerCamelCase_	:     Dict 						=      num_hidden_layers
							lowerCamelCase_	:     Optional[int] 						=      num_attention_heads
							lowerCamelCase_	:     Optional[int] 						=      intermediate_size
							lowerCamelCase_	:     str 						=      hidden_act
							lowerCamelCase_	:     int 						=      hidden_dropout_prob
							lowerCamelCase_	:     Tuple 						=      attention_probs_dropout_prob
							lowerCamelCase_	:     Union[str, Any] 						=      max_position_embeddings
							lowerCamelCase_	:     Union[str, Any] 						=      type_vocab_size
							lowerCamelCase_	:     List[Any] 						=      initializer_range
							lowerCamelCase_	:     Optional[Any] 						=      relative_attention
							lowerCamelCase_	:     List[Any] 						=      max_relative_positions
							lowerCamelCase_	:     Optional[int] 						=      pad_token_id
							lowerCamelCase_	:     int 						=      position_biased_input

							# Backwards compatibility
							if type(lowerCamelCase						) == str:
									lowerCamelCase_	:     Dict 						=      [x.strip() for x in pos_att_type.lower().split('|'						)]

							lowerCamelCase_	:     Optional[Any] 						=      pos_att_type
							lowerCamelCase_	:     List[Any] 						=      vocab_size
							lowerCamelCase_	:     Any 						=      layer_norm_eps

							lowerCamelCase_	:     int 						=      kwargs.get('pooler_hidden_size'       ,      lowerCamelCase						)
							lowerCamelCase_	:     Dict 						=      pooler_dropout
							lowerCamelCase_	:     Tuple 						=      pooler_hidden_act






class 						UpperCamelCase_  (  snake_case__							):



					@property
					def   __a     (		self     :     Optional[int]						):
							if self.task == "multiple-choice":
									lowerCamelCase_	:     Optional[Any] 						=      {0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
									lowerCamelCase_	:     Any 						=      {0: 'batch', 1: 'sequence'}
							if self._config.type_vocab_size > 0:
									return OrderedDict(
									    [('input_ids', dynamic_axis), ('attention_mask', dynamic_axis), ('token_type_ids', dynamic_axis)]						)
							else:
									return OrderedDict([('input_ids', dynamic_axis), ('attention_mask', dynamic_axis)]						)



					@property
					def   __a     (		self     :     List[Any]						):
							return 12





					def   __a     (		self     :     Tuple       ,      lowerCamelCase     :     Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]       ,      lowerCamelCase     :     int = -1       ,      lowerCamelCase     :     int = -1       ,      lowerCamelCase     :     int = -1       ,      lowerCamelCase     :     bool = False       ,      lowerCamelCase     :     Optional["TensorType"] = None       ,      lowerCamelCase     :     int = 3       ,      lowerCamelCase     :     int = 40       ,      lowerCamelCase     :     int = 40       ,      lowerCamelCase     :     "PreTrainedTokenizerBase" = None       ,      ):
							lowerCamelCase_	:     Union[str, Any] 						=      super().generate_dummy_inputs(preprocessor=lowerCamelCase       ,      framework=lowerCamelCase						)
							if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
									del dummy_inputs["token_type_ids"]
							return dummy_inputs
