
'''simple docstring'''

import copy
from typing import Dict, List, Optional

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


UpperCAmelCase__ :			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
}

UpperCAmelCase__ :			Optional[Any]											=		logging.get_logger(__name__)






class  A  (						SCREAMING_SNAKE_CASE__     ):
	snake_case__   :List[str]   =  'mask2former'
	snake_case__   :Dict   =  ['swin']
	snake_case__   :List[str]   =  {'hidden_size': 'hidden_dim'}





	def __init__(       self      :							Tuple   ,				__magic_name__      :							Optional[Dict] = None   ,				__magic_name__      :							int = 256   ,				__magic_name__      :							int = 256   ,				__magic_name__      :							int = 256   ,				__magic_name__      :							int = 1024   ,				__magic_name__      :							str = "relu"   ,				__magic_name__      :							int = 6   ,				__magic_name__      :							int = 10   ,				__magic_name__      :							int = 8   ,				__magic_name__      :							float = 0.0   ,				__magic_name__      :							int = 2048   ,				__magic_name__      :							bool = False   ,				__magic_name__      :							bool = False   ,				__magic_name__      :							int = 4   ,				__magic_name__      :							int = 255   ,				__magic_name__      :							int = 100   ,				__magic_name__      :							float = 0.1   ,				__magic_name__      :							float = 2.0   ,				__magic_name__      :							float = 5.0   ,				__magic_name__      :							float = 5.0   ,				__magic_name__      :							int = 12544   ,				__magic_name__      :							float = 3.0   ,				__magic_name__      :							float = 0.75   ,				__magic_name__      :							float = 0.02   ,				__magic_name__      :							float = 1.0   ,				__magic_name__      :							bool = True   ,				__magic_name__      :							List[int] = [4, 8, 16, 32]   ,				__magic_name__      :							bool = None   ,				**__magic_name__      :							str   ,				):


				"""simple docstring"""

				if backbone_config is None:
							logger.info("`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."				)
							lowerCAmelCase__										=				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=__magic_name__   ,				out_features=["stage1", "stage2", "stage3", "stage4"]   ,				)

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

				# 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				)}"""				)

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

				super().__init__(**__magic_name__				)





	@classmethod
	def 				__SCREAMING_SNAKE_CASE	(       cls      :							Any   ,				__magic_name__      :							PretrainedConfig   ,				**__magic_name__      :							str				):


				"""simple docstring"""

				return cls(
				    backbone_config=__magic_name__   ,				**__magic_name__   ,				)







	def 				__SCREAMING_SNAKE_CASE	(       self      :							str				):


				"""simple docstring"""

				lowerCAmelCase__										=				copy.deepcopy(self.__dict__				)
				lowerCAmelCase__										=				self.backbone_config.to_dict()
				lowerCAmelCase__										=				self.__class__.model_type
				return output









import requests
from bsa import BeautifulSoup





def 	_lowerCAmelCase					( UpperCamelCase__:  str = "https://www.worldometers.info/coronavirus"    )			-> dict:





	"""simple docstring"""







	A             =					BeautifulSoup(requests.get(UpperCamelCase__    ).text				,       """html.parser"""    )
	A             =					soup.findAll("""h1"""    )
	A             =					soup.findAll("""div"""				,       {"""class""": """maincounter-number"""}    )
	keys += soup.findAll("""span"""				,       {"""class""": """panel-title"""}    )
	values += soup.findAll("""div"""				,       {"""class""": """number-table-main"""}    )
	return {key.text.strip(): value.text.strip() for key, value in zip(UpperCamelCase__				,       UpperCamelCase__    )}


if __name__ == "__main__":
				print("\033[1m" + "COVID-19 Status of the World" + "\033[0m\n")
				for key, value in world_covidaa_stats().items():
								print(f'''{key}\n{value}\n''')



