




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_barthez import BarthezTokenizer
else:
			__SCREAMING_SNAKE_CASE 						=None

__SCREAMING_SNAKE_CASE 						=logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE 						={"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

__SCREAMING_SNAKE_CASE 						={
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"""
        ),
    },
}

__SCREAMING_SNAKE_CASE 						={
    """moussaKam/mbarthez""": 1_024,
    """moussaKam/barthez""": 1_024,
    """moussaKam/barthez-orangesum-title""": 1_024,
}

__SCREAMING_SNAKE_CASE 						="""▁"""






class  __magic_name__						(  __UpperCAmelCase):
				'''simple docstring'''







				SCREAMING_SNAKE_CASE__					:							List[Any]	      =					VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE__					:							Optional[int]	      =					PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE__					:							int	      =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE__					:							Optional[int]	      =					["input_ids", "attention_mask"]
				SCREAMING_SNAKE_CASE__					:							int	      =					BarthezTokenizer


				def __init__(							self:   str		,					_lowerCamelCase:   Optional[int]=None		,					_lowerCamelCase:   List[Any]=None		,					_lowerCamelCase:   Optional[Any]="<s>"		,					_lowerCamelCase:   Any="</s>"		,					_lowerCamelCase:   Optional[Any]="</s>"		,					_lowerCamelCase:   Dict="<s>"		,					_lowerCamelCase:   str="<unk>"		,					_lowerCamelCase:   Optional[Any]="<pad>"		,					_lowerCamelCase:   Any="<mask>"		,					**_lowerCamelCase:   Any		,					):
											# Mask token behave like a normal word, i.e. include the space before it
											SCREAMING_SNAKE_CASE_   	=    AddedToken(_lowerCamelCase		,					lstrip=_lowerCamelCase		,					rstrip=_lowerCamelCase		) if isinstance(_lowerCamelCase		,					_lowerCamelCase		) else mask_token

											super().__init__(
											    _lowerCamelCase		,					tokenizer_file=_lowerCamelCase		,					bos_token=_lowerCamelCase		,					eos_token=_lowerCamelCase		,					unk_token=_lowerCamelCase		,					sep_token=_lowerCamelCase		,					cls_token=_lowerCamelCase		,					pad_token=_lowerCamelCase		,					mask_token=_lowerCamelCase		,					**_lowerCamelCase		,					)

											SCREAMING_SNAKE_CASE_   	=    vocab_file
											SCREAMING_SNAKE_CASE_   	=    False if not self.vocab_file else True


				def     _A							(							self:   Optional[Any]		,					_lowerCamelCase:   List[int]		,					_lowerCamelCase:   Optional[List[int]] = None		):

											if token_ids_a is None:
																		return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											SCREAMING_SNAKE_CASE_   	=    [self.cls_token_id]
											SCREAMING_SNAKE_CASE_   	=    [self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep


				def     _A							(							self:   int		,					_lowerCamelCase:   List[int]		,					_lowerCamelCase:   Optional[List[int]] = None		):
											SCREAMING_SNAKE_CASE_   	=    [self.sep_token_id]
											SCREAMING_SNAKE_CASE_   	=    [self.cls_token_id]

											if token_ids_a is None:
																		return len(cls + token_ids_a + sep		) * [0]
											return len(cls + token_ids_a + sep + sep + token_ids_a + sep		) * [0]





				def     _A							(							self:   Optional[int]		,					_lowerCamelCase:   str		,					_lowerCamelCase:   Optional[str] = None		):
											if not self.can_save_slow_tokenizer:
																		raise ValueError(
																		    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
																		    '''tokenizer.'''		)

											if not os.path.isdir(_lowerCamelCase		):
																		logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
																		return
											SCREAMING_SNAKE_CASE_   	=    os.path.join(
											    _lowerCamelCase		,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)

											if os.path.abspath(self.vocab_file		) != os.path.abspath(_lowerCamelCase		):
																		copyfile(self.vocab_file		,					_lowerCamelCase		)

											return (out_vocab_file,)












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__":
			__SCREAMING_SNAKE_CASE 						="""%20""".join(argv[1:]) if len(argv) > 1 else quote(str(input("""Search: """)))

			print("""Googling.....""")

			__SCREAMING_SNAKE_CASE 						=f"""https://www.google.com/search?q={query}&num=100"""

			__SCREAMING_SNAKE_CASE 						=requests.get(
			    url,
			    headers={"""User-Agent""": str(UserAgent().random)},
			)

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

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

			webbrowser.open(link)


