



import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__UpperCAmelCase			  =			logging.get_logger(__name__)

__UpperCAmelCase			  =			{'''vocab_file''': '''vocab.json'''}

__UpperCAmelCase			  =			{
    '''vocab_file''': {
        '''mgp-str''': '''https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json''',
    }
}

__UpperCAmelCase			  =			{'''mgp-str''': 27}



class 							lowerCAmelCase_						(    a__				):
       UpperCAmelCase__							:   List[str]  	=    VOCAB_FILES_NAMES
       UpperCAmelCase__							:   Tuple  	=    PRETRAINED_VOCAB_FILES_MAP
       UpperCAmelCase__							:   int  	=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       def __init__(     self,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_="[GO]",     SCREAMING_SNAKE_CASE_="[GO]",     SCREAMING_SNAKE_CASE_="[s]",     SCREAMING_SNAKE_CASE_="[GO]",     **SCREAMING_SNAKE_CASE_			)	->						int:
          super().__init__(
              unk_token=SCREAMING_SNAKE_CASE_,     bos_token=SCREAMING_SNAKE_CASE_,     eos_token=SCREAMING_SNAKE_CASE_,     pad_token=SCREAMING_SNAKE_CASE_,     **SCREAMING_SNAKE_CASE_,     )

          with open(SCREAMING_SNAKE_CASE_,     encoding='utf-8'			) as vocab_handle:
             UpperCamelCase       :    Optional[int]		      =      json.load(SCREAMING_SNAKE_CASE_			)
          UpperCamelCase       :    Optional[int]		      =      {v: k for k, v in self.vocab.items()}
       @property
       def    snake_case_			(     self			)	->						Any:
          return len(self.vocab			)
       def    snake_case_			(     self			)	->						List[Any]:
          return dict(self.vocab,     **self.added_tokens_encoder			)
       def    snake_case_			(     self,     SCREAMING_SNAKE_CASE_			)	->						str:
          UpperCamelCase       :    List[Any]		      =      []
          for s in text:
             char_tokens.extend(SCREAMING_SNAKE_CASE_			)
          return char_tokens
       def    snake_case_			(     self,     SCREAMING_SNAKE_CASE_			)	->						Dict:
          return self.vocab.get(SCREAMING_SNAKE_CASE_,     self.vocab.get(self.unk_token			)			)
       def    snake_case_			(     self,     SCREAMING_SNAKE_CASE_			)	->						str:
          return self.decoder.get(SCREAMING_SNAKE_CASE_			)






       def    snake_case_			(     self,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_ = None			)	->						Tuple[str]:
          if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
             logger.error('Vocabulary path ({}) should be a directory'.format(SCREAMING_SNAKE_CASE_			)			)
             return
          UpperCamelCase       :    Dict		      =      os.path.join(
              SCREAMING_SNAKE_CASE_,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

          with open(SCREAMING_SNAKE_CASE_,     'w',     encoding='utf-8'			) as f:
             f.write(json.dumps(self.vocab,     indent=2,     sort_keys=SCREAMING_SNAKE_CASE_,     ensure_ascii=SCREAMING_SNAKE_CASE_			) + '\n'			)

          return (vocab_file,)





'''simple docstring'''



import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
						print("""Googling.....""")
						_lowercase          =						"""https://www.google.com/search?q=""" + """ """.join(sys.argv[1:])
						_lowercase          =						requests.get(url, headers={"""UserAgent""": UserAgent().random})
						# res.raise_for_status()
						with open("""project1a.html""", """wb""") as out_file:  # only for knowing the class
												for data in res.iter_content(10000):
																		out_file.write(data)
						_lowercase          =						BeautifulSoup(res.text, """html.parser""")
						_lowercase          =						list(soup.select(""".eZt8xd"""))[:5]

						print(len(links))
						for link in links:
												if link.text == "Maps":
																		webbrowser.open(link.get("""href"""))
												else:
																		webbrowser.open(F"""https://google.com{link.get('href')}""")
