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

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


A						=			logging.get_logger(__name__)


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

A						=			{
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

A						=			'</w>'
A						=			'@@ '


def 	lowerCamelCase					(	UpperCamelCase     :				Optional[int]							)   ->    Union[str, Any]:
		_lowerCamelCase				   =  set()
		_lowerCamelCase				   =  word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)							)
				_lowerCamelCase				   =  char
		return pairs


# Speech2Text2 has no max input length
A						=			{'facebook/s2t-wav2vec2-large-en-de': 1_0_2_4}





class     lowerCAmelCase__     (				__snake_case			):


		'''simple docstring'''






		lowerCAmelCase_     =   VOCAB_FILES_NAMES
		lowerCAmelCase_     =   PRETRAINED_VOCAB_FILES_MAP
		lowerCAmelCase_     =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCAmelCase_     =   ["""input_ids""", """attention_mask"""]
		def __init__(       self     :     str     ,  snake_case__     :     Optional[Any]     ,  snake_case__     :     Union[str, Any]="<s>"     ,  snake_case__     :     Optional[Any]="<pad>"     ,  snake_case__     :     List[str]="</s>"     ,  snake_case__     :     List[Any]="<unk>"     ,  snake_case__     :     List[Any]=False     ,  snake_case__     :     List[Any]=None     ,  **snake_case__     :     str     ,  )      ->	Optional[Any]:
				super().__init__(
				    unk_token=snake_case__     ,  bos_token=snake_case__     ,  eos_token=snake_case__     ,  pad_token=snake_case__     ,  do_lower_case=snake_case__     ,  **snake_case__     ,  )

				_lowerCamelCase				   =  do_lower_case

				with open(snake_case__     ,  encoding='utf-8'		) as vocab_handle:
						_lowerCamelCase				   =  json.load(snake_case__		)
				_lowerCamelCase				   =  {v: k for k, v in self.encoder.items()}

				if merges_file is None:
						logger.info(f"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""		)

						_lowerCamelCase				   =  None
						_lowerCamelCase				   =  None
				else:
						with open(snake_case__     ,  encoding='utf-8'		) as merges_handle:
								_lowerCamelCase				   =  merges_handle.read().split('\n'		)[:-1]

						_lowerCamelCase				   =  [tuple(merge.split()[:2]		) for merge in merges]
						_lowerCamelCase				   =  dict(zip(snake_case__     ,  range(len(snake_case__		)		)		)		)
						_lowerCamelCase				   =  {}
		@property
		def   _snake_case       (       self     :     Tuple		)      ->	int:
				return len(self.decoder		)
		def   _snake_case       (       self     :     int		)      ->	Dict:
				return dict(self.encoder     ,  **self.added_tokens_encoder		)
		def   _snake_case       (       self     :     List[Any]     ,  snake_case__     :     Optional[int]		)      ->	Tuple:
				_lowerCamelCase				   =  tuple(token[:-1]		) + (token[-1] + BPE_TOKEN_MERGES,)
				if token in self.cache:
						return self.cache[token]
				_lowerCamelCase				   =  get_pairs(snake_case__		)

				if not pairs:
						return token

				while True:
						_lowerCamelCase				   =  min(snake_case__     ,  key=lambda snake_case__		: self.bpe_ranks.get(snake_case__     ,  float('inf'		)		)		)
						if bigram not in self.bpe_ranks:
								break
						_lowerCamelCase				   =  bigram
						_lowerCamelCase				   =  []
						_lowerCamelCase				   =  0
						while i < len(snake_case__		):
								try:
										_lowerCamelCase				   =  word.index(snake_case__     ,  snake_case__		)
								except ValueError:
										new_word.extend(word[i:]		)
										break
								else:
										new_word.extend(word[i:j]		)
										_lowerCamelCase				   =  j

								if word[i] == first and i < len(snake_case__		) - 1 and word[i + 1] == second:
										new_word.append(first + second		)
										i += 2
								else:
										new_word.append(word[i]		)
										i += 1
						_lowerCamelCase				   =  tuple(snake_case__		)
						_lowerCamelCase				   =  new_word
						if len(snake_case__		) == 1:
								break
						else:
								_lowerCamelCase				   =  get_pairs(snake_case__		)
				_lowerCamelCase				   =  """ """.join(snake_case__		)
				if word == "\n  " + BPE_TOKEN_MERGES:
						_lowerCamelCase				   =  """\n""" + BPE_TOKEN_MERGES

				if word.endswith(snake_case__		):
						_lowerCamelCase				   =  word.replace(snake_case__     ,  ''		)

				_lowerCamelCase				   =  word.replace(' '     ,  snake_case__		)
				_lowerCamelCase				   =  word
				return word
		def   _snake_case       (       self     :     int     ,  snake_case__     :     Union[str, Any]		)      ->	Union[str, Any]:

				if self.bpe_ranks is None:
						raise ValueError(
						    'This tokenizer was instantiated without a `merges.txt` file, so'
						    ' that it can only be used for decoding, not for encoding.'
						    'Make sure to provide `merges.txt` file at instantiation to enable '
						    'encoding.'		)

				if self.do_lower_case:
						_lowerCamelCase				   =  text.lower()

				_lowerCamelCase				   =  text.split()

				_lowerCamelCase				   =  []
				for token in text:
						if token:
								split_tokens.extend(list(self.bpe(snake_case__		).split(' '		)		)		)

				return split_tokens
		def   _snake_case       (       self     :     Optional[Any]     ,  snake_case__     :     str		)      ->	int:
				return self.encoder.get(snake_case__     ,  self.encoder.get(self.unk_token		)		)
		def   _snake_case       (       self     :     Union[str, Any]     ,  snake_case__     :     int		)      ->	str:
				_lowerCamelCase				   =  self.decoder.get(snake_case__     ,  self.unk_token		)
				return result
		def   _snake_case       (       self     :     str     ,  snake_case__     :     List[str]		)      ->	str:
				_lowerCamelCase				   =  """ """.join(snake_case__		)

				# make sure @@ tokens are concatenated
				_lowerCamelCase				   =  """""".join(string.split(snake_case__		)		)

				return string



		def   _snake_case       (       self     :     List[Any]     ,  snake_case__     :     str     ,  snake_case__     :     Optional[str] = None		)      ->	Tuple[str]:
				if not os.path.isdir(snake_case__		):
						logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
						return
				_lowerCamelCase				   =  os.path.join(
				    snake_case__     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
				_lowerCamelCase				   =  os.path.join(
				    snake_case__     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']		)

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

				_lowerCamelCase				   =  0
				if self.bpe_ranks is None:
						return (vocab_file,)

				with open(snake_case__     ,  'w'     ,  encoding='utf-8'		) as writer:
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,  key=lambda snake_case__		: kv[1]		):
								if index != token_index:
										logger.warning(
										    f"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
										    ' Please check that the tokenizer is not corrupted!'		)
										_lowerCamelCase				   =  token_index
								writer.write(' '.join(snake_case__		) + '\n'		)
								index += 1

				return (vocab_file, merges_file)







"""simple docstring"""







import requests
from bsa import BeautifulSoup


def      UpperCamelCase       ( _A = "AAPL" )     ->       str:
				lowercase    :      Optional[Any]       = F"""https://in.finance.yahoo.com/quote/{symbol}?s={symbol}"""
				lowercase    :      str       = BeautifulSoup(requests.get(_A ).text  ,				"""html.parser""" )
				lowercase    :      int       = """My(6px) Pos(r) smartphone_Mt(6px)"""
				return soup.find("""div"""  ,				class_=class_ ).find("""span""" ).text


if __name__ == "__main__":
				for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
								print(F'Current {symbol:<4} stock price is {stock_price(symbol):>8}')
