






'''simple docstring'''







from typing import Mapping

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


_A	:			str         =logging.get_logger(__name__)

_A	:			List[str]         ={
    '''t5-small''': '''https://huggingface.co/t5-small/resolve/main/config.json''',
    '''t5-base''': '''https://huggingface.co/t5-base/resolve/main/config.json''',
    '''t5-large''': '''https://huggingface.co/t5-large/resolve/main/config.json''',
    '''t5-3b''': '''https://huggingface.co/t5-3b/resolve/main/config.json''',
    '''t5-11b''': '''https://huggingface.co/t5-11b/resolve/main/config.json''',
}

class _lowercase	(				_lowercase		):
							a				      =       """t5"""
							a				      =       ["""past_key_values"""]
							a				      =       {"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}




							def __init__(							self:				Optional[Any]			,							UpperCamelCase__:				Optional[Any]=32_128			,							UpperCamelCase__:				List[Any]=512			,							UpperCamelCase__:				Dict=64			,							UpperCamelCase__:				Tuple=2_048			,							UpperCamelCase__:				int=6			,							UpperCamelCase__:				Optional[int]=None			,							UpperCamelCase__:				Optional[int]=8			,							UpperCamelCase__:				str=32			,							UpperCamelCase__:				Tuple=128			,							UpperCamelCase__:				Optional[Any]=0.1			,							UpperCamelCase__:				int=1e-6			,							UpperCamelCase__:				int=1.0			,							UpperCamelCase__:				List[str]="relu"			,							UpperCamelCase__:				int=True			,							UpperCamelCase__:				int=True			,							UpperCamelCase__:				List[Any]=0			,							UpperCamelCase__:				int=1			,							**UpperCamelCase__:				str			,							):
														lowerCamelCase__					:	Tuple         =       vocab_size
														lowerCamelCase__					:	Union[str, Any]         =       d_model
														lowerCamelCase__					:	Any         =       d_kv
														lowerCamelCase__					:	List[Any]         =       d_ff
														lowerCamelCase__					:	Optional[int]         =       num_layers
														lowerCamelCase__					:	Dict         =       (
														    num_decoder_layers if num_decoder_layers is not None else self.num_layers
														)  # default = symmetry
														lowerCamelCase__					:	str         =       num_heads
														lowerCamelCase__					:	int         =       relative_attention_num_buckets
														lowerCamelCase__					:	Tuple         =       relative_attention_max_distance
														lowerCamelCase__					:	Any         =       dropout_rate
														lowerCamelCase__					:	Optional[Any]         =       layer_norm_epsilon
														lowerCamelCase__					:	List[str]         =       initializer_factor
														lowerCamelCase__					:	Tuple         =       feed_forward_proj
														lowerCamelCase__					:	List[Any]         =       use_cache

														lowerCamelCase__					:	Tuple         =       self.feed_forward_proj.split("""-"""     )
														lowerCamelCase__					:	List[str]         =       act_info[-1]
														lowerCamelCase__					:	List[str]         =       act_info[0] == """gated"""

														if len(__UpperCAmelCase     ) > 1 and act_info[0] != "gated" or len(__UpperCAmelCase     ) > 2:
																					raise ValueError(
																					    F'''`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'''
																					    """Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. """
																					    """\'gated-gelu\' or \'relu\'"""     )

														# for backwards compatibility
														if feed_forward_proj == "gated-gelu":
																					lowerCamelCase__					:	Optional[Any]         =       """gelu_new"""

														super().__init__(
														    pad_token_id=__UpperCAmelCase			,							eos_token_id=__UpperCAmelCase			,							is_encoder_decoder=__UpperCAmelCase			,							**__UpperCAmelCase			,							)



class _lowercase	(				_lowercase		):




							@property
							def 		lowerCamelCase_				(							self:				Optional[Any]     ):
														lowerCamelCase__					:	Optional[int]         =       {
														    """input_ids""": {0: """batch""", 1: """encoder_sequence"""},
														    """attention_mask""": {0: """batch""", 1: """encoder_sequence"""},
														}
														if self.use_past:
																					lowerCamelCase__					:	str         =       """past_encoder_sequence + sequence"""
																					lowerCamelCase__					:	List[Any]         =       {0: """batch"""}
																					lowerCamelCase__					:	int         =       {0: """batch""", 1: """past_decoder_sequence + sequence"""}
														else:
																					lowerCamelCase__					:	Tuple         =       {0: """batch""", 1: """decoder_sequence"""}
																					lowerCamelCase__					:	Tuple         =       {0: """batch""", 1: """decoder_sequence"""}

														if self.use_past:
																					self.fill_with_past_key_values_(__UpperCAmelCase			,							direction="""inputs"""     )

														return common_inputs




							@property
							def 		lowerCamelCase_				(							self:				Union[str, Any]     ):
														return 13









from __future__ import annotations

UpperCAmelCase__				   =		"Muhammad Umer Farooq"
UpperCAmelCase__				   =		"MIT"
UpperCAmelCase__				   =		"1.0.0"
UpperCAmelCase__				   =		"Muhammad Umer Farooq"
UpperCAmelCase__				   =		"contact@muhammadumerfarooq.me"
UpperCAmelCase__				   =		"Alpha"

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

import requests






class 		lowercase_					(	lowercase   ):






      '''simple docstring'''




      def __init__(      self      :						Union[str, Any] ,					__UpperCAmelCase      :						str  )    ->None:




       """simple docstring"""


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







      def       __lowerCAmelCase					(      self      :						List[str] ,					__UpperCAmelCase      :						str ,					__UpperCAmelCase      :						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:
           a		  =      parse.urljoin(self.domain ,					__UpperCAmelCase  )
           self.urls.append(__UpperCAmelCase  )
def 						_a    (      a :str )							->			str:
 return ".".join(get_sub_domain_name(a ).split('''.''' )[-2:] )
def 						_a    (      a :str )							->			str:
 return parse.urlparse(a ).netloc
def 						_a    (      a :str = "https://github.com" )							->			list[str]:
 a		  =      get_domain_name(a )

 # Initialize the parser
 a		  =      Parser(a )

 try:
  # Open URL
  a		  =      requests.get(a )

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

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

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


if __name__ == "__main__":
     UpperCAmelCase__				   =		emails_from_url("https://github.com")
     print(f"""{len(emails)} emails found:""")
     print("\n".join(sorted(emails)))


