
import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

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


lowerCAmelCase__:    str      = logging.get_logger(__name__)


lowerCAmelCase__:    Tuple      = {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowerCAmelCase__:    Dict      = {
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

lowerCAmelCase__:    Optional[int]      = {'facebook/blenderbot_small-90M': 512}



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

		SCREAMING_SNAKE_CASE_					:	int		  =			set(SCREAMING_SNAKE_CASE )
		return pairs

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





			def __init__(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ,						__lowerCAmelCase="__start__"      ,						__lowerCAmelCase="__end__"      ,						__lowerCAmelCase="__unk__"      ,						__lowerCAmelCase="__null__"      ,						**__lowerCAmelCase      ,						):
					super().__init__(unk_token=A_      ,						bos_token=A_      ,						eos_token=A_      ,						pad_token=A_      ,						**A_      )

					with open(A_      ,						encoding='utf-8'      ) as vocab_handle:
							SCREAMING_SNAKE_CASE_					:	str		  =			json.load(A_      )
					SCREAMING_SNAKE_CASE_					:	Tuple		  =			{v: k for k, v in self.encoder.items()}
					with open(A_      ,						encoding='utf-8'      ) as merges_handle:
							SCREAMING_SNAKE_CASE_					:	Any		  =			merges_handle.read().split('\n'      )[1:-1]
					SCREAMING_SNAKE_CASE_					:	int		  =			[tuple(merge.split()      ) for merge in merges]
					SCREAMING_SNAKE_CASE_					:	List[str]		  =			dict(zip(A_      ,						range(len(A_      )      )      )      )
					SCREAMING_SNAKE_CASE_					:	str		  =			{}





			@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_					:	str		  =			re.sub('([.,!?()])'      ,						r' \1'      ,						A_      )
					SCREAMING_SNAKE_CASE_					:	int		  =			re.sub('(\')'      ,						r' \1 '      ,						A_      )
					SCREAMING_SNAKE_CASE_					:	str		  =			re.sub(r'\s{2,}'      ,						' '      ,						A_      )
					if "\n" in token:
							SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			token.replace('\n'      ,						' __newln__'      )

					SCREAMING_SNAKE_CASE_					:	Any		  =			token.split(' '      )
					SCREAMING_SNAKE_CASE_					:	Tuple		  =			[]
					for token in tokens:
							if not len(A_      ):
									continue

							SCREAMING_SNAKE_CASE_					:	List[str]		  =			token.lower()
							SCREAMING_SNAKE_CASE_					:	Any		  =			tuple(A_      )
							SCREAMING_SNAKE_CASE_					:	int		  =			tuple(list(word[:-1]      ) + [word[-1] + '</w>']      )
							SCREAMING_SNAKE_CASE_					:	Dict		  =			get_pairs(A_      )

							if not pairs:
									words.append(A_      )
									continue

							while True:
									SCREAMING_SNAKE_CASE_					:	Tuple		  =			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_					:	Union[str, Any]		  =			bigram
									SCREAMING_SNAKE_CASE_					:	str		  =			[]
									SCREAMING_SNAKE_CASE_					:	List[str]		  =			0

									while i < len(A_      ):
											try:
													SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			word.index(A_      ,						A_      )
													new_word.extend(word[i:j]      )
													SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			j
											except ValueError:
													new_word.extend(word[i:]      )
													break

											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_					:	Dict		  =			tuple(A_      )
									SCREAMING_SNAKE_CASE_					:	Any		  =			new_word
									if len(A_      ) == 1:
											break
									else:
											SCREAMING_SNAKE_CASE_					:	str		  =			get_pairs(A_      )
							SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			'@@ '.join(A_      )
							SCREAMING_SNAKE_CASE_					:	str		  =			word[:-4]

							SCREAMING_SNAKE_CASE_					:	List[Any]		  =			word
							words.append(A_      )
					return " ".join(A_      )





			def 						__A						(		self      ,						__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	str		  =			[]

					SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			re.findall(r'\S+\n?'      ,						A_      )

					for token in words:
							split_tokens.extend(list(self.bpe(A_      ).split(' '      )      )      )
					return split_tokens





			def 						__A						(		self      ,						__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			token.lower()
					return self.encoder.get(A_      ,						self.encoder.get(self.unk_token      )      )





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





			def 						__A						(		self      ,						__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	Tuple		  =			' '.join(A_      ).replace('@@ '      ,						''      ).strip()
					return out_string






			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_					:	Any		  =			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_					:	Optional[int]		  =			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_					:	Tuple		  =			token_index
									writer.write(' '.join(A_      ) + '\n'      )
									index += 1

					return vocab_file, merge_file








'''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')}""")




