'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


lowerCAmelCase_	:		Optional[Any]			=     {
    """albert-base-v1""": """https://huggingface.co/albert-base-v1/resolve/main/config.json""",
    """albert-large-v1""": """https://huggingface.co/albert-large-v1/resolve/main/config.json""",
    """albert-xlarge-v1""": """https://huggingface.co/albert-xlarge-v1/resolve/main/config.json""",
    """albert-xxlarge-v1""": """https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json""",
    """albert-base-v2""": """https://huggingface.co/albert-base-v2/resolve/main/config.json""",
    """albert-large-v2""": """https://huggingface.co/albert-large-v2/resolve/main/config.json""",
    """albert-xlarge-v2""": """https://huggingface.co/albert-xlarge-v2/resolve/main/config.json""",
    """albert-xxlarge-v2""": """https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json""",
}




class 		SCREAMING_SNAKE_CASE     (					SCREAMING_SNAKE_CASE	):







				'''simple docstring'''
				UpperCAmelCase__							=							'''albert'''





				def __init__(						self					:						List[str]       ,		lowercase__					:						Tuple=30_000       ,		lowercase__					:						Union[str, Any]=128       ,		lowercase__					:						Optional[int]=4_096       ,		lowercase__					:						Optional[int]=12       ,		lowercase__					:						Dict=1       ,		lowercase__					:						Union[str, Any]=64       ,		lowercase__					:						int=16_384       ,		lowercase__					:						Dict=1       ,		lowercase__					:						Optional[int]="gelu_new"       ,		lowercase__					:						List[str]=0       ,		lowercase__					:						Optional[Any]=0       ,		lowercase__					:						List[Any]=512       ,		lowercase__					:						List[str]=2       ,		lowercase__					:						int=0.0_2       ,		lowercase__					:						List[str]=1e-12       ,		lowercase__					:						Union[str, Any]=0.1       ,		lowercase__					:						List[str]="absolute"       ,		lowercase__					:						Tuple=0       ,		lowercase__					:						Optional[int]=2       ,		lowercase__					:						List[str]=3       ,		**lowercase__					:						Dict       ,		)							->Dict:


										'''simple docstring'''




										super().__init__(pad_token_id=lowercase__       ,		bos_token_id=lowercase__       ,		eos_token_id=lowercase__       ,		**lowercase__					)

										_UpperCamelCase			:			Optional[Any]   			=						vocab_size
										_UpperCamelCase			:			Optional[int]   			=						embedding_size
										_UpperCamelCase			:			int   			=						hidden_size
										_UpperCamelCase			:			Any   			=						num_hidden_layers
										_UpperCamelCase			:			Any   			=						num_hidden_groups
										_UpperCamelCase			:			Dict   			=						num_attention_heads
										_UpperCamelCase			:			List[Any]   			=						inner_group_num
										_UpperCamelCase			:			List[str]   			=						hidden_act
										_UpperCamelCase			:			Optional[int]   			=						intermediate_size
										_UpperCamelCase			:			Tuple   			=						hidden_dropout_prob
										_UpperCamelCase			:			Tuple   			=						attention_probs_dropout_prob
										_UpperCamelCase			:			Any   			=						max_position_embeddings
										_UpperCamelCase			:			Dict   			=						type_vocab_size
										_UpperCamelCase			:			Union[str, Any]   			=						initializer_range
										_UpperCamelCase			:			str   			=						layer_norm_eps
										_UpperCamelCase			:			Dict   			=						classifier_dropout_prob
										_UpperCamelCase			:			List[Any]   			=						position_embedding_type





class 		SCREAMING_SNAKE_CASE     (					SCREAMING_SNAKE_CASE	):







				'''simple docstring'''





				@property
				def  snake_case__				(						self					:						Optional[Any]					)							->Mapping[str, Mapping[int, str]]:


										'''simple docstring'''




										if self.task == "multiple-choice":
																_UpperCamelCase			:			int   			=						{0: "batch", 1: "choice", 2: "sequence"}
										else:
																_UpperCamelCase			:			Optional[Any]   			=						{0: "batch", 1: "sequence"}
										return OrderedDict(
										    [
										        ("input_ids", dynamic_axis),
										        ("attention_mask", dynamic_axis),
										        ("token_type_ids", dynamic_axis),
										    ]					)



'''simple docstring'''





from __future__ import annotations

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

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

import requests




class 		SCREAMING_SNAKE_CASE     (					SCREAMING_SNAKE_CASE	):







				'''simple docstring'''





				def __init__(						self					:						List[Any]       ,		lowercase__					:						str					)							->None:


										'''simple docstring'''




										super().__init__()
										_UpperCamelCase			:			list[str]   			=						[]
										_UpperCamelCase			:			int   			=						domain







				def  snake_case__				(						self					:						str       ,		lowercase__					:						str       ,		lowercase__					:						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:
																																		_UpperCamelCase			:			Optional[Any]   			=						parse.urljoin(self.domain       ,		lowercase__					)
																																		self.urls.append(lowercase__					)





def 						__A							(     UpperCAmelCase					)     ->			str:




						'''simple docstring'''
						return ".".join(get_sub_domain_name(UpperCAmelCase					).split("."					)[-2:]					)
def 						__A							(     UpperCAmelCase					)     ->			str:




						'''simple docstring'''
						return parse.urlparse(UpperCAmelCase					).netloc
def 						__A							(     UpperCAmelCase = "https://github.com"					)     ->			list[str]:




						'''simple docstring'''
						_UpperCamelCase			:			int   			=						get_domain_name(UpperCAmelCase					)

						# Initialize the parser
						_UpperCamelCase			:			Any   			=						Parser(UpperCAmelCase					)

						try:
												# Open URL
												_UpperCamelCase			:			Union[str, Any]   			=						requests.get(UpperCAmelCase					)

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

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


