
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__:    Any      = logging.get_logger(__name__)


lowerCAmelCase__:    Union[str, Any]      = {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

lowerCAmelCase__:    str      = {
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

lowerCAmelCase__:    int      = {
    'allenai/longformer-base-4096': 4096,
    'allenai/longformer-large-4096': 4096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4096,
}



@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def   __SCREAMING_SNAKE_CASE (		)		-> Optional[int]:
		SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			(
		    list(range(ord('!' ) ,    ord('~' ) + 1 ) ) + list(range(ord('¡' ) ,    ord('¬' ) + 1 ) ) + list(range(ord('®' ) ,    ord('ÿ' ) + 1 ) )
		)
		SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			bs[:]
		SCREAMING_SNAKE_CASE_					:	Tuple		  =			0
		for b in range(2**8 ):
				if b not in bs:
						bs.append(SCREAMING_SNAKE_CASE )
						cs.append(2**8 + n )
						n += 1
		SCREAMING_SNAKE_CASE_					:	Tuple		  =			[chr(SCREAMING_SNAKE_CASE ) for n in cs]
		return dict(zip(SCREAMING_SNAKE_CASE ,    SCREAMING_SNAKE_CASE ) )



def   __SCREAMING_SNAKE_CASE (		SCREAMING_SNAKE_CASE )		-> str:
		SCREAMING_SNAKE_CASE_					:	List[Any]		  =			set()
		SCREAMING_SNAKE_CASE_					:	int		  =			word[0]
		for char in word[1:]:
				pairs.add((prev_char, char) )
				SCREAMING_SNAKE_CASE_					:	Tuple		  =			char
		return pairs

class 							snake_case_ (				snake_case_    ):
			__lowerCamelCase							:     str						=			VOCAB_FILES_NAMES
			__lowerCamelCase							:     Optional[Any]						=			PRETRAINED_VOCAB_FILES_MAP
			__lowerCamelCase							:     Optional[int]						=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCamelCase							:     Any						=			['input_ids', 'attention_mask']





			def __init__(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ,						__lowerCAmelCase="replace"      ,						__lowerCAmelCase="<s>"      ,						__lowerCAmelCase="</s>"      ,						__lowerCAmelCase="</s>"      ,						__lowerCAmelCase="<s>"      ,						__lowerCAmelCase="<unk>"      ,						__lowerCAmelCase="<pad>"      ,						__lowerCAmelCase="<mask>"      ,						__lowerCAmelCase=False      ,						**__lowerCAmelCase      ,						):
					SCREAMING_SNAKE_CASE_					:	str		  =			AddedToken(A_      ,						lstrip=A_      ,						rstrip=A_      ) if isinstance(A_      ,						A_      ) else bos_token
					SCREAMING_SNAKE_CASE_					:	Any		  =			AddedToken(A_      ,						lstrip=A_      ,						rstrip=A_      ) if isinstance(A_      ,						A_      ) else eos_token
					SCREAMING_SNAKE_CASE_					:	int		  =			AddedToken(A_      ,						lstrip=A_      ,						rstrip=A_      ) if isinstance(A_      ,						A_      ) else sep_token
					SCREAMING_SNAKE_CASE_					:	List[str]		  =			AddedToken(A_      ,						lstrip=A_      ,						rstrip=A_      ) if isinstance(A_      ,						A_      ) else cls_token
					SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			AddedToken(A_      ,						lstrip=A_      ,						rstrip=A_      ) if isinstance(A_      ,						A_      ) else unk_token
					SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			AddedToken(A_      ,						lstrip=A_      ,						rstrip=A_      ) if isinstance(A_      ,						A_      ) else pad_token

					# Mask token behave like a normal word, i.e. include the space before it
					SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			AddedToken(A_      ,						lstrip=A_      ,						rstrip=A_      ) if isinstance(A_      ,						A_      ) else mask_token

					super().__init__(
					    errors=A_      ,						bos_token=A_      ,						eos_token=A_      ,						unk_token=A_      ,						sep_token=A_      ,						cls_token=A_      ,						pad_token=A_      ,						mask_token=A_      ,						add_prefix_space=A_      ,						**A_      ,						)

					with open(A_      ,						encoding='utf-8'      ) as vocab_handle:
							SCREAMING_SNAKE_CASE_					:	str		  =			json.load(A_      )
					SCREAMING_SNAKE_CASE_					:	str		  =			{v: k for k, v in self.encoder.items()}
					SCREAMING_SNAKE_CASE_					:	int		  =			errors  # how to handle errors in decoding
					SCREAMING_SNAKE_CASE_					:	List[Any]		  =			bytes_to_unicode()
					SCREAMING_SNAKE_CASE_					:	List[str]		  =			{v: k for k, v in self.byte_encoder.items()}
					with open(A_      ,						encoding='utf-8'      ) as merges_handle:
							SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			merges_handle.read().split('\n'      )[1:-1]
					SCREAMING_SNAKE_CASE_					:	List[str]		  =			[tuple(merge.split()      ) for merge in bpe_merges]
					SCREAMING_SNAKE_CASE_					:	Dict		  =			dict(zip(A_      ,						range(len(A_      )      )      )      )
					SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			{}
					SCREAMING_SNAKE_CASE_					:	Tuple		  =			add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'      )





			@property
			def 						__A						(		self      ):
					return len(self.encoder      )





			def 						__A						(		self      ):
					return dict(self.encoder      ,						**self.added_tokens_encoder      )





			def 						__A						(		self      ,						__lowerCAmelCase      ):






					if token in self.cache:
							return self.cache[token]
					SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			tuple(A_      )
					SCREAMING_SNAKE_CASE_					:	Any		  =			get_pairs(A_      )

					if not pairs:
							return token

					while True:
							SCREAMING_SNAKE_CASE_					:	List[Any]		  =			min(A_      ,						key=lambda __lowerCAmelCase      : self.bpe_ranks.get(A_      ,						float('inf'      )      )      )
							if bigram not in self.bpe_ranks:
									break
							SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_					:	List[Any]		  =			bigram
							SCREAMING_SNAKE_CASE_					:	Dict		  =			[]
							SCREAMING_SNAKE_CASE_					:	Tuple		  =			0
							while i < len(A_      ):
									try:
											SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			word.index(A_      ,						A_      )
									except ValueError:
											new_word.extend(word[i:]      )
											break
									else:
											new_word.extend(word[i:j]      )
											SCREAMING_SNAKE_CASE_					:	Tuple		  =			j

									if word[i] == first and i < len(A_      ) - 1 and word[i + 1] == second:
											new_word.append(first + second      )
											i += 2
									else:
											new_word.append(word[i]      )
											i += 1
							SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			tuple(A_      )
							SCREAMING_SNAKE_CASE_					:	Dict		  =			new_word
							if len(A_      ) == 1:
									break
							else:
									SCREAMING_SNAKE_CASE_					:	int		  =			get_pairs(A_      )
					SCREAMING_SNAKE_CASE_					:	Tuple		  =			' '.join(A_      )
					SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			word
					return word





			def 						__A						(		self      ,						__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	List[Any]		  =			[]
					for token in re.findall(self.pat      ,						A_      ):
							SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			''.join(
							    self.byte_encoder[b] for b in token.encode('utf-8'      )      )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
							bpe_tokens.extend(bpe_token for bpe_token in self.bpe(A_      ).split(' '      )      )
					return bpe_tokens





			def 						__A						(		self      ,						__lowerCAmelCase      ):
					return self.encoder.get(A_      ,						self.encoder.get(self.unk_token      )      )





			def 						__A						(		self      ,						__lowerCAmelCase      ):
					return self.decoder.get(A_      )





			def 						__A						(		self      ,						__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	List[Any]		  =			''.join(A_      )
					SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			bytearray([self.byte_decoder[c] for c in text]      ).decode('utf-8'      ,						errors=self.errors      )
					return text





			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase = None      ):






					if not os.path.isdir(A_      ):
							logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
							return
					SCREAMING_SNAKE_CASE_					:	int		  =			os.path.join(
					    A_      ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
					SCREAMING_SNAKE_CASE_					:	List[str]		  =			os.path.join(
					    A_      ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

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

					SCREAMING_SNAKE_CASE_					:	Any		  =			0
					with open(A_      ,						'w'      ,						encoding='utf-8'      ) as writer:
							writer.write('#version: 0.2\n'      )
							for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,						key=lambda __lowerCAmelCase      : kv[1]      ):
									if index != token_index:
											logger.warning(
											    F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
											    ' Please check that the tokenizer is not corrupted!'      )
											SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			token_index
									writer.write(' '.join(A_      ) + '\n'      )
									index += 1

					return vocab_file, merge_file





			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase = None      ):






					if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					SCREAMING_SNAKE_CASE_					:	List[str]		  =			[self.cls_token_id]
					SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep





			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase = None      ,						__lowerCAmelCase = False      ):






					if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=A_      ,						token_ids_a=A_      ,						already_has_special_tokens=A_      )

					if token_ids_a is None:
							return [1] + ([0] * len(A_      )) + [1]
					return [1] + ([0] * len(A_      )) + [1, 1] + ([0] * len(A_      )) + [1]





			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase = None      ):
					SCREAMING_SNAKE_CASE_					:	Dict		  =			[self.sep_token_id]
					SCREAMING_SNAKE_CASE_					:	Any		  =			[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      ,						__lowerCAmelCase      ,						__lowerCAmelCase=False      ,						**__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	List[str]		  =			kwargs.pop('add_prefix_space'      ,						self.add_prefix_space      )
					if (is_split_into_words or add_prefix_space) and (len(A_      ) > 0 and not text[0].isspace()):
							SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			' ' + text
					return (text, kwargs)








'''simple docstring'''
import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
						print('Googling.....')
						lowerCAmelCase					:    List[Any]           = 'https://www.google.com/search?q=' + ' '.join(sys.argv[1:])
						lowerCAmelCase					:    List[Any]           = 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(1_00_00):
																		out_file.write(data)
						lowerCAmelCase					:    Tuple           = BeautifulSoup(res.text, 'html.parser')
						lowerCAmelCase					:    List[Any]           = 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')}""")




