



"""simple docstring"""







import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


UpperCamelCase     =							logging.get_logger(__name__)  # pylint: disable=invalid-name






class       UpperCamelCase__			(   _lowerCAmelCase      ):

			"""simple docstring"""


			def __init__(      self						,	SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__=768		)      ->	str:
				super().__init__(SCREAMING_SNAKE_CASE__		)
				A__											=					proj_size

				A__											=					CLIPVisionModel(SCREAMING_SNAKE_CASE__		)
				A__											=					PaintByExampleMapper(SCREAMING_SNAKE_CASE__		)
				A__											=					nn.LayerNorm(config.hidden_size		)
				A__											=					nn.Linear(config.hidden_size						,	self.proj_size		)

				# uncondition for scaling
				A__											=					nn.Parameter(torch.randn((1, 1, self.proj_size)		)		)







			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__=False		)      ->	Dict:
				A__											=					self.model(pixel_values=SCREAMING_SNAKE_CASE__		)
				A__											=					clip_output.pooler_output
				A__											=					self.mapper(latent_states[:, None]		)
				A__											=					self.final_layer_norm(SCREAMING_SNAKE_CASE__		)
				A__											=					self.proj_out(SCREAMING_SNAKE_CASE__		)
				if return_uncond_vector:
					return latent_states, self.uncond_vector

				return latent_states






class       UpperCamelCase__			(   nn.Module      ):

			"""simple docstring"""


			def __init__(      self						,	SCREAMING_SNAKE_CASE__		)      ->	int:
				super().__init__()
				A__											=					(config.num_hidden_layers + 1) // 5
				A__											=					config.hidden_size
				A__											=					1
				A__											=					nn.ModuleList(
				    [
				        BasicTransformerBlock(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__						,	activation_fn="gelu"						,	attention_bias=SCREAMING_SNAKE_CASE__		)
				        for _ in range(SCREAMING_SNAKE_CASE__		)
				    ]		)







			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__		)      ->	str:
				for block in self.blocks:
					A__											=					block(SCREAMING_SNAKE_CASE__		)

				return hidden_states






from __future__ import annotations

lowercase   =	'''Muhammad Umer Farooq'''
lowercase   =	'''MIT'''
lowercase   =	'''1.0.0'''
lowercase   =	'''Muhammad Umer Farooq'''
lowercase   =	'''contact@muhammadumerfarooq.me'''
lowercase   =	'''Alpha'''

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

import requests





class    __A(					UpperCAmelCase							):

					def __init__(						self       :  Tuple ,       __UpperCamelCase       :  str ):
												super().__init__()
												lowerCamelCase_					=       []
												lowerCamelCase_					=       domain



					def  lowercase__   (						self       :  Any ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  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_					=       parse.urljoin(self.domain ,       __UpperCamelCase )
																																								self.urls.append(__UpperCamelCase )



def   __lowerCAmelCase    (				UpperCAmelCase__					:   str							)	->     str:
							return ".".join(get_sub_domain_name(UpperCAmelCase__							).split("""."""							)[-2:]							)



def   __lowerCAmelCase    (				UpperCAmelCase__					:   str							)	->     str:
							return parse.urlparse(UpperCAmelCase__							).netloc



def   __lowerCAmelCase    (				UpperCAmelCase__					:   str = "https://github.com"							)	->     list[str]:
							lowerCamelCase_					=       get_domain_name(UpperCAmelCase__							)

							# Initialize the parser
							lowerCamelCase_					=       Parser(UpperCAmelCase__							)

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

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

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





