'''simple docstring'''





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


lowerCAmelCase_	:		Tuple			=     logging.get_logger(__name__)

lowerCAmelCase_	:		List[Any]			=     {
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}




class 		SCREAMING_SNAKE_CASE     (					_snake_case	):







				'''simple docstring'''
				UpperCAmelCase__							=							'deta'
				UpperCAmelCase__							=							{
				    'hidden_size': 'd_model',
				    'num_attention_heads': 'encoder_attention_heads',
				}





				def __init__(						self					:						Tuple       ,		lowercase__					:						List[Any]=None       ,		lowercase__					:						Any=900       ,		lowercase__					:						int=2_048       ,		lowercase__					:						Any=6       ,		lowercase__					:						Optional[Any]=2_048       ,		lowercase__					:						str=8       ,		lowercase__					:						Union[str, Any]=6       ,		lowercase__					:						List[str]=1_024       ,		lowercase__					:						int=8       ,		lowercase__					:						Any=0.0       ,		lowercase__					:						Any=True       ,		lowercase__					:						Optional[int]="relu"       ,		lowercase__					:						int=256       ,		lowercase__					:						Tuple=0.1       ,		lowercase__					:						Optional[Any]=0.0       ,		lowercase__					:						Tuple=0.0       ,		lowercase__					:						List[str]=0.0_2       ,		lowercase__					:						Any=1.0       ,		lowercase__					:						Optional[int]=True       ,		lowercase__					:						int=False       ,		lowercase__					:						Optional[Any]="sine"       ,		lowercase__					:						Dict=5       ,		lowercase__					:						List[Any]=4       ,		lowercase__					:						Optional[Any]=4       ,		lowercase__					:						Any=True       ,		lowercase__					:						int=300       ,		lowercase__					:						Any=True       ,		lowercase__					:						Tuple=True       ,		lowercase__					:						int=1       ,		lowercase__					:						Tuple=5       ,		lowercase__					:						Union[str, Any]=2       ,		lowercase__					:						Tuple=1       ,		lowercase__					:						int=1       ,		lowercase__					:						str=5       ,		lowercase__					:						Optional[Any]=2       ,		lowercase__					:						List[Any]=0.1       ,		lowercase__					:						Union[str, Any]=0.2_5       ,		**lowercase__					:						int       ,		)							->List[str]:


										'''simple docstring'''




										if backbone_config is None:
																logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."					)
																_UpperCamelCase			:			Optional[int]   			=						CONFIG_MAPPING["resnet"](out_features=["stage2", "stage3", "stage4"]					)
										else:
																if isinstance(lowercase__       ,		lowercase__					):
																						_UpperCamelCase			:			List[Any]   			=						backbone_config.pop("model_type"					)
																						_UpperCamelCase			:			Dict   			=						CONFIG_MAPPING[backbone_model_type]
																						_UpperCamelCase			:			Dict   			=						config_class.from_dict(lowercase__					)

										_UpperCamelCase			:			Optional[Any]   			=						backbone_config
										_UpperCamelCase			:			Tuple   			=						num_queries
										_UpperCamelCase			:			Optional[int]   			=						max_position_embeddings
										_UpperCamelCase			:			Tuple   			=						d_model
										_UpperCamelCase			:			Optional[int]   			=						encoder_ffn_dim
										_UpperCamelCase			:			int   			=						encoder_layers
										_UpperCamelCase			:			Optional[Any]   			=						encoder_attention_heads
										_UpperCamelCase			:			Union[str, Any]   			=						decoder_ffn_dim
										_UpperCamelCase			:			str   			=						decoder_layers
										_UpperCamelCase			:			Union[str, Any]   			=						decoder_attention_heads
										_UpperCamelCase			:			List[Any]   			=						dropout
										_UpperCamelCase			:			Optional[Any]   			=						attention_dropout
										_UpperCamelCase			:			Union[str, Any]   			=						activation_dropout
										_UpperCamelCase			:			List[Any]   			=						activation_function
										_UpperCamelCase			:			Any   			=						init_std
										_UpperCamelCase			:			Dict   			=						init_xavier_std
										_UpperCamelCase			:			Union[str, Any]   			=						encoder_layerdrop
										_UpperCamelCase			:			Tuple   			=						auxiliary_loss
										_UpperCamelCase			:			Optional[int]   			=						position_embedding_type
										# deformable attributes
										_UpperCamelCase			:			Dict   			=						num_feature_levels
										_UpperCamelCase			:			List[Any]   			=						encoder_n_points
										_UpperCamelCase			:			Union[str, Any]   			=						decoder_n_points
										_UpperCamelCase			:			str   			=						two_stage
										_UpperCamelCase			:			Any   			=						two_stage_num_proposals
										_UpperCamelCase			:			List[str]   			=						with_box_refine
										_UpperCamelCase			:			Optional[int]   			=						assign_first_stage
										if two_stage is True and with_box_refine is False:
																raise ValueError("If two_stage is True, with_box_refine must be True."					)
										# Hungarian matcher
										_UpperCamelCase			:			List[str]   			=						class_cost
										_UpperCamelCase			:			str   			=						bbox_cost
										_UpperCamelCase			:			List[str]   			=						giou_cost
										# Loss coefficients
										_UpperCamelCase			:			List[str]   			=						mask_loss_coefficient
										_UpperCamelCase			:			Optional[int]   			=						dice_loss_coefficient
										_UpperCamelCase			:			Union[str, Any]   			=						bbox_loss_coefficient
										_UpperCamelCase			:			Any   			=						giou_loss_coefficient
										_UpperCamelCase			:			Optional[int]   			=						eos_coefficient
										_UpperCamelCase			:			Union[str, Any]   			=						focal_alpha
										super().__init__(is_encoder_decoder=lowercase__       ,		**lowercase__					)





				@property
				def  snake_case__				(						self					:						Any					)							->Any:


										'''simple docstring'''




										return self.encoder_attention_heads





				@property
				def  snake_case__				(						self					:						Union[str, Any]					)							->Dict:


										'''simple docstring'''




										return self.d_model







				def  snake_case__				(						self					:						Tuple					)							->str:


										'''simple docstring'''




										_UpperCamelCase			:			Optional[Any]   			=						copy.deepcopy(self.__dict__					)
										_UpperCamelCase			:			Union[str, Any]   			=						self.backbone_config.to_dict()
										_UpperCamelCase			:			Optional[int]   			=						self.__class__.model_type
										return output



'''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)))


