

from __future__ import annotations

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

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

import requests






class 						__magic_name__					(							snake_case				):






     def __init__(				self		,						_lowercase	)->     None:
         super().__init__()
         UpperCamelCase_			  =						[]
         UpperCamelCase_			  =						domain






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase	)->     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:
                         UpperCamelCase_			  =						parse.urljoin(self.domain		,						_lowercase	)
                         self.urls.append(_lowercase	)




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						str:



    """simple docstring"""






    return ".".join(get_sub_domain_name(SCREAMING_SNAKE_CASE_			).split("."			)[-2:]			)




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						str:



    """simple docstring"""






    return parse.urlparse(SCREAMING_SNAKE_CASE_			).netloc




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_ = "https://github.com"			)->						list[str]:



    """simple docstring"""






    UpperCamelCase_			  =						get_domain_name(SCREAMING_SNAKE_CASE_			)

    # Initialize the parser
    UpperCamelCase_			  =						Parser(SCREAMING_SNAKE_CASE_			)

    try:
        # Open URL
        UpperCamelCase_			  =						requests.get(SCREAMING_SNAKE_CASE_			)

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

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

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


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE		:List[str]						=     emails_from_url("""https://github.com""")
 print(F'''{len(emails)} emails found:''')
 print("""\n""".join(sorted(emails)))



import copy
from typing import Dict, List, Optional

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


SCREAMING_SNAKE_CASE		:Optional[Any]						=     {
    """facebook/mask2former-swin-small-coco-instance""": (
        """https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json"""
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

SCREAMING_SNAKE_CASE		:Union[str, Any]						=     logging.get_logger(__name__)






class 						__magic_name__					(							snake_case				):
     UpperCamelCase_	:Optional[int]										=      """mask2former"""
     UpperCamelCase_	:Dict										=      ["""swin"""]
     UpperCamelCase_	:List[Any]										=      {"""hidden_size""": """hidden_dim"""}






     def __init__(				self		,						_lowercase = None		,						_lowercase = 256		,						_lowercase = 256		,						_lowercase = 256		,						_lowercase = 1_024		,						_lowercase = "relu"		,						_lowercase = 6		,						_lowercase = 10		,						_lowercase = 8		,						_lowercase = 0.0		,						_lowercase = 2_048		,						_lowercase = False		,						_lowercase = False		,						_lowercase = 4		,						_lowercase = 255		,						_lowercase = 100		,						_lowercase = 0.1		,						_lowercase = 2.0		,						_lowercase = 5.0		,						_lowercase = 5.0		,						_lowercase = 12_544		,						_lowercase = 3.0		,						_lowercase = 0.75		,						_lowercase = 0.02		,						_lowercase = 1.0		,						_lowercase = True		,						_lowercase = [4, 8, 16, 32]		,						_lowercase = None		,						**_lowercase		,						)->     Union[str, Any]:
         if backbone_config is None:
             logger.info("`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."	)
             UpperCamelCase_			  =						CONFIG_MAPPING["swin"](
                 image_size=224		,						in_channels=3		,						patch_size=4		,						embed_dim=96		,						depths=[2, 2, 18, 2]		,						num_heads=[3, 6, 12, 24]		,						window_size=7		,						drop_path_rate=0.3		,						use_absolute_embeddings=_lowercase		,						out_features=["stage1", "stage2", "stage3", "stage4"]		,						)

         if isinstance(_lowercase		,						_lowercase	):
             UpperCamelCase_			  =						backbone_config.pop("model_type"	)
             UpperCamelCase_			  =						CONFIG_MAPPING[backbone_model_type]
             UpperCamelCase_			  =						config_class.from_dict(_lowercase	)

         # verify that the backbone is supported
         if backbone_config.model_type not in self.backbones_supported:
             logger.warning_once(
                 F"Backbone {backbone_config.model_type} is not a supported model and may not be compatible with Mask2Former. "
                 F"Supported model types: {','.join(self.backbones_supported	)}"	)

         UpperCamelCase_			  =						backbone_config
         UpperCamelCase_			  =						feature_size
         UpperCamelCase_			  =						mask_feature_size
         UpperCamelCase_			  =						hidden_dim
         UpperCamelCase_			  =						encoder_feedforward_dim
         UpperCamelCase_			  =						activation_function
         UpperCamelCase_			  =						encoder_layers
         UpperCamelCase_			  =						decoder_layers
         UpperCamelCase_			  =						num_attention_heads
         UpperCamelCase_			  =						dropout
         UpperCamelCase_			  =						dim_feedforward
         UpperCamelCase_			  =						pre_norm
         UpperCamelCase_			  =						enforce_input_projection
         UpperCamelCase_			  =						common_stride
         UpperCamelCase_			  =						ignore_value
         UpperCamelCase_			  =						num_queries
         UpperCamelCase_			  =						no_object_weight
         UpperCamelCase_			  =						class_weight
         UpperCamelCase_			  =						mask_weight
         UpperCamelCase_			  =						dice_weight
         UpperCamelCase_			  =						train_num_points
         UpperCamelCase_			  =						oversample_ratio
         UpperCamelCase_			  =						importance_sample_ratio
         UpperCamelCase_			  =						init_std
         UpperCamelCase_			  =						init_xavier_std
         UpperCamelCase_			  =						use_auxiliary_loss
         UpperCamelCase_			  =						feature_strides
         UpperCamelCase_			  =						output_auxiliary_logits
         UpperCamelCase_			  =						decoder_layers

         super().__init__(**_lowercase	)






     @classmethod
     def 	UpperCAmelCase_				(				cls		,						_lowercase		,						**_lowercase	)->     Optional[int]:
         return cls(
             backbone_config=_lowercase		,						**_lowercase		,						)






     def 	UpperCAmelCase_				(				self	)->     Dict[str, any]:
         UpperCamelCase_			  =						copy.deepcopy(self.__dict__	)
         UpperCamelCase_			  =						self.backbone_config.to_dict()
         UpperCamelCase_			  =						self.__class__.model_type
         return output
