from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

__lowerCamelCase			: Optional[int]							   =		{
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}







class __snake_case				(						lowerCamelCase_		):
   lowerCAmelCase_														=							"mgp-str"




   def __init__(    self			:				Union[str, Any]       ,	_lowercase			:				List[Any]=[32, 1_28]       ,	_lowercase			:				Union[str, Any]=4       ,	_lowercase			:				Tuple=3       ,	_lowercase			:				Dict=27       ,	_lowercase			:				Tuple=38       ,	_lowercase			:				List[Any]=5_02_57       ,	_lowercase			:				Optional[int]=3_05_22       ,	_lowercase			:				Optional[Any]=7_68       ,	_lowercase			:				Dict=12       ,	_lowercase			:				Optional[Any]=12       ,	_lowercase			:				Tuple=4.0       ,	_lowercase			:				Union[str, Any]=True       ,	_lowercase			:				Optional[int]=False       ,	_lowercase			:				Optional[Any]=1E-5       ,	_lowercase			:				Tuple=0.0       ,	_lowercase			:				List[str]=0.0       ,	_lowercase			:				Union[str, Any]=0.0       ,	_lowercase			:				Dict=False       ,	_lowercase			:				Union[str, Any]=0.02       ,	**_lowercase			:				List[str]       ,	):



     """simple docstring"""






     super().__init__(**_lowercase      )

     SCREAMING_SNAKE_CASE__										=      image_size
     SCREAMING_SNAKE_CASE__										=      patch_size
     SCREAMING_SNAKE_CASE__										=      num_channels
     SCREAMING_SNAKE_CASE__										=      max_token_length
     SCREAMING_SNAKE_CASE__										=      num_character_labels
     SCREAMING_SNAKE_CASE__										=      num_bpe_labels
     SCREAMING_SNAKE_CASE__										=      num_wordpiece_labels
     SCREAMING_SNAKE_CASE__										=      hidden_size
     SCREAMING_SNAKE_CASE__										=      num_hidden_layers
     SCREAMING_SNAKE_CASE__										=      num_attention_heads
     SCREAMING_SNAKE_CASE__										=      mlp_ratio
     SCREAMING_SNAKE_CASE__										=      distilled
     SCREAMING_SNAKE_CASE__										=      layer_norm_eps
     SCREAMING_SNAKE_CASE__										=      drop_rate
     SCREAMING_SNAKE_CASE__										=      qkv_bias
     SCREAMING_SNAKE_CASE__										=      attn_drop_rate
     SCREAMING_SNAKE_CASE__										=      drop_path_rate
     SCREAMING_SNAKE_CASE__										=      output_aa_attentions
     SCREAMING_SNAKE_CASE__										=      initializer_range

from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
   __lowerCamelCase			: str							   =		input('''Enter image url: ''').strip()
   print(F"""Downloading image from {url} ...""")
   __lowerCamelCase			: Any							   =		BeautifulSoup(requests.get(url).content, '''html.parser''')
   # The image URL is in the content field of the first meta tag with property og:image
   __lowerCamelCase			: List[Any]							   =		soup.find('''meta''', {'''property''': '''og:image'''})['''content''']
   __lowerCamelCase			: Tuple							   =		requests.get(image_url).content
   __lowerCamelCase			: Union[str, Any]							   =		F"""{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg"""
   with open(file_name, '''wb''') as fp:
      fp.write(image_data)
   print(F"""Done. Image saved to disk as {file_name}.""")
