"""simple docstring"""
from __future__ import annotations

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

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

import requests



class 					lowerCAmelCase_      (     lowerCAmelCase   ):

				def __init__(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

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

				def 						snake_case	(			self						,      lowerCAmelCase						,      lowerCAmelCase      ):






										"""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:
																																		snake_case        =     parse.urljoin(self.domain						,      lowerCAmelCase      )
																																		self.urls.append(lowerCAmelCase      )





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"""






						snake_case        =     get_domain_name(_UpperCamelCase   )

						# Initialize the parser
						snake_case        =     Parser(_UpperCamelCase   )

						try:
												# Open URL
												snake_case        =     requests.get(_UpperCamelCase   )

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

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



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   =					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   =					{
    "microsoft/swinv2-tiny-patch4-window8-256": (
        "https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json"
    ),
}



class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  """swinv2"""

				_lowerCAmelCase       :      Any     					=  {
				    """num_attention_heads""": """num_heads""",
				    """num_hidden_layers""": """num_layers""",
				}

				def __init__(			self						,      lowerCAmelCase=2_24						,      lowerCAmelCase=4						,      lowerCAmelCase=3						,      lowerCAmelCase=96						,      lowerCAmelCase=[2, 2, 6, 2]						,      lowerCAmelCase=[3, 6, 12, 24]						,      lowerCAmelCase=7						,      lowerCAmelCase=4.0						,      lowerCAmelCase=True						,      lowerCAmelCase=0.0						,      lowerCAmelCase=0.0						,      lowerCAmelCase=0.1						,      lowerCAmelCase="gelu"						,      lowerCAmelCase=False						,      lowerCAmelCase=0.02						,      lowerCAmelCase=1E-5						,      lowerCAmelCase=32						,      **lowerCAmelCase						,      ):






										"""simple docstring"""

										super().__init__(**lowerCAmelCase      )

										snake_case        =     image_size
										snake_case        =     patch_size
										snake_case        =     num_channels
										snake_case        =     embed_dim
										snake_case        =     depths
										snake_case        =     len(lowerCAmelCase      )
										snake_case        =     num_heads
										snake_case        =     window_size
										snake_case        =     mlp_ratio
										snake_case        =     qkv_bias
										snake_case        =     hidden_dropout_prob
										snake_case        =     attention_probs_dropout_prob
										snake_case        =     drop_path_rate
										snake_case        =     hidden_act
										snake_case        =     use_absolute_embeddings
										snake_case        =     layer_norm_eps
										snake_case        =     initializer_range
										snake_case        =     encoder_stride
										# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
										# this indicates the channel dimension after the last stage of the model
										snake_case        =     int(embed_dim * 2 ** (len(lowerCAmelCase      ) - 1)      )
										snake_case        =     (0, 0, 0, 0)


