


import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
     snake_case    :   List[str]	    =					'''%20'''.join(argv[1:]) if len(argv) > 1 else quote(str(input('''Search: ''')))

     print('''Googling.....''')

     snake_case    :   Tuple	    =					F"""https://www.google.com/search?q={query}&num=100"""

     snake_case    :   Any	    =					requests.get(
         url,
         headers={'''User-Agent''': str(UserAgent().random)},
     )

     try:
          snake_case    :   int	    =					(
              BeautifulSoup(res.text, '''html.parser''')
              .find('''div''', attrs={'''class''': '''yuRUbf'''})
              .find('''a''')
              .get('''href''')
          )

     except AttributeError:
          snake_case    :   Any	    =					parse_qs(
              BeautifulSoup(res.text, '''html.parser''')
              .find('''div''', attrs={'''class''': '''kCrYT'''})
              .find('''a''')
              .get('''href''')
          )['''url'''][0]

     webbrowser.open(link)









from typing import TYPE_CHECKING

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


snake_case    :   Any	    =					{'''configuration_van''': ['''VAN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VanConfig''']}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case    :   Union[str, Any]	    =					[
         '''VAN_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''VanForImageClassification''',
         '''VanModel''',
         '''VanPreTrainedModel''',
     ]

if TYPE_CHECKING:
     from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_van import (
              VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
              VanForImageClassification,
              VanModel,
              VanPreTrainedModel,
          )

else:
     import sys

     snake_case    :   Optional[Any]	    =					_LazyModule(__name__, globals()['''__file__'''], _import_structure)





