




'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


A     ={
    'configuration_graphormer': ['GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GraphormerConfig'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A     =[
       'GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'GraphormerForGraphClassification',
       'GraphormerModel',
       'GraphormerPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_graphormer import (
          GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          GraphormerForGraphClassification,
          GraphormerModel,
          GraphormerPreTrainedModel,
      )


else:
   import sys

   A     =_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










'''simple docstring'''







from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
   A     =input('Enter image url: ').strip()
   print(f"""Downloading image from {url} ...""")
   A     =BeautifulSoup(requests.get(url).content, 'html.parser')
   # The image URL is in the content field of the first meta tag with property og:image
   A     =soup.find('meta', {'property': 'og:image'})['content']
   A     =requests.get(image_url).content
   A     =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}.""")




