


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case__				:	Optional[int]					       =					logging.get_logger(__name__)

snake_case__				:	Tuple					       =					{
    'facebook/levit-128S': 'https://huggingface.co/facebook/levit-128S/resolve/main/config.json',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}





class   SCREAMING_SNAKE_CASE_			(a__						):




       '''simple docstring'''



       _a   							=							"levit"



       def __init__(						self				:				str		,				__a				:				List[str]=224		,				__a				:				Tuple=3		,				__a				:				Tuple=3		,				__a				:				Optional[int]=2		,				__a				:				List[Any]=1		,				__a				:				Optional[int]=16		,				__a				:				Union[str, Any]=[128, 256, 384]		,				__a				:				int=[4, 8, 12]		,				__a				:				List[Any]=[4, 4, 4]		,				__a				:				Optional[Any]=[16, 16, 16]		,				__a				:				List[str]=0		,				__a				:				str=[2, 2, 2]		,				__a				:				Any=[2, 2, 2]		,				__a				:				Any=0.02		,				**__a				:				Dict		,				)					->Dict:
          super().__init__(**__a							)
          lowerCamelCase_						:   str		= image_size
          lowerCamelCase_						:   Optional[Any]		= num_channels
          lowerCamelCase_						:   Dict		= kernel_size
          lowerCamelCase_						:   Tuple		= stride
          lowerCamelCase_						:   Any		= padding
          lowerCamelCase_						:   List[str]		= hidden_sizes
          lowerCamelCase_						:   Any		= num_attention_heads
          lowerCamelCase_						:   Union[str, Any]		= depths
          lowerCamelCase_						:   Optional[int]		= key_dim
          lowerCamelCase_						:   List[str]		= drop_path_rate
          lowerCamelCase_						:   Optional[int]		= patch_size
          lowerCamelCase_						:   List[Any]		= attention_ratio
          lowerCamelCase_						:   List[str]		= mlp_ratio
          lowerCamelCase_						:   Optional[Any]		= initializer_range
          lowerCamelCase_						:   Dict		= [
              ["""Subsample""", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
              ["""Subsample""", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
          ]







class   SCREAMING_SNAKE_CASE_			(a__						):




       '''simple docstring'''



       _a   							=							version.parse("1.11"						)



       @property
       def 				_lowerCAmelCase							(						self				:				Any							)					->Mapping[str, Mapping[int, str]]:
          return OrderedDict(
              [
                  ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
              ]							)




       @property
       def 				_lowerCAmelCase							(						self				:				Optional[int]							)					->float:
          return 1e-4









import requests
from bsa import BeautifulSoup


def    __lowerCamelCase   (      A__						: str = "https://www.worldometers.info/coronavirus"					)     ->    dict:
   lowerCamelCase_						:   List[str]		= BeautifulSoup(requests.get(A__					).text						,						"""html.parser"""					)
   lowerCamelCase_						:   Tuple		= soup.findAll("""h1"""					)
   lowerCamelCase_						:   Tuple		= 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(A__						,						A__					)}


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')





