

from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


snake_case_        =			logging.get_logger(__name__)

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

snake_case_        =			{
    '''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'''
        )
    },
}

snake_case_        =			{
    '''facebook/blenderbot_small-90M''': 512,
}


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):
    __lowerCamelCase						:	Tuple														=					VOCAB_FILES_NAMES
    __lowerCamelCase						:	Optional[int]														=					PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:	List[str]														=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase						:	Optional[Any]														=					BlenderbotSmallTokenizer





    def __init__(				self						,       a=None						,       a=None						,       a="<|endoftext|>"						,       a="<|endoftext|>"						,       a="<|endoftext|>"						,       a=False						,       a=True						,       **a						,       ):
         super().__init__(
             ByteLevelBPETokenizer(
                 vocab=a						,       merges=a						,       add_prefix_space=a						,       trim_offsets=a						,       )						,       bos_token=a						,       eos_token=a						,       unk_token=a						,       **a						,       )
         lowercase__   :       Optional[int]				=	add_prefix_space





    def 				snake_case_    (				self						,       a						,       a=None):
         lowercase__   :       List[Any]				=	[self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
              return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





    def 				snake_case_    (				self						,       a						,       a = None):
         lowercase__   :       Dict				=	[self.sep_token_id]
         lowercase__   :       Optional[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]




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

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


snake_case_        =			logging.get_logger(__name__)


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

snake_case_        =			{
    '''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'''
        ),
    },
}

snake_case_        =			'''</w>'''
snake_case_        =			'''@@ '''

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



     '''simple docstring'''





     lowercase__   :       Optional[Any]				=	set()
     lowercase__   :       Optional[Any]				=	word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)      )
          lowercase__   :       Optional[int]				=	char
     return pairs


# Speech2Text2 has no max input length
snake_case_        =			{'''facebook/s2t-wav2vec2-large-en-de''': 1_024}


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):
    __lowerCamelCase						:	List[str]														=					VOCAB_FILES_NAMES
    __lowerCamelCase						:	int														=					PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:	Dict														=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase						:	Union[str, Any]														=					["""input_ids""", """attention_mask"""]





    def __init__(				self						,       a						,       a="<s>"						,       a="<pad>"						,       a="</s>"						,       a="<unk>"						,       a=False						,       a=None						,       **a						,       ):
         super().__init__(
             unk_token=a						,       bos_token=a						,       eos_token=a						,       pad_token=a						,       do_lower_case=a						,       **a						,       )

         lowercase__   :       str				=	do_lower_case

         with open(a						,       encoding='utf-8') as vocab_handle:
              lowercase__   :       Tuple				=	json.load(a)
         lowercase__   :       Union[str, Any]				=	{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.""")

              lowercase__   :       int				=	None
              lowercase__   :       List[Any]				=	None
         else:
              with open(a						,       encoding='utf-8') as merges_handle:
                   lowercase__   :       List[Any]				=	merges_handle.read().split('\n')[:-1]

              lowercase__   :       Optional[int]				=	[tuple(merge.split()[:2]) for merge in merges]
              lowercase__   :       Tuple				=	dict(zip(a						,       range(len(a))))
              lowercase__   :       List[str]				=	{}





    @property
    def 				snake_case_    (				self):
         return len(self.decoder)





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





    def 				snake_case_    (				self						,       a):
         lowercase__   :       int				=	tuple(token[:-1]) + (token[-1] + BPE_TOKEN_MERGES,)
         if token in self.cache:
              return self.cache[token]
         lowercase__   :       Any				=	get_pairs(a)

         if not pairs:
              return token

         while True:
              lowercase__   :       List[str]				=	min(a						,       key=lambda a: self.bpe_ranks.get(a						,       float('inf')))
              if bigram not in self.bpe_ranks:
                   break
              lowercase__				,			lowercase__   :       Dict				=	bigram
              lowercase__   :       Union[str, Any]				=	[]
              lowercase__   :       int				=	0
              while i < len(a):
                   try:
                        lowercase__   :       Dict				=	word.index(a						,       a)
                   except ValueError:
                        new_word.extend(word[i:])
                        break
                   else:
                        new_word.extend(word[i:j])
                        lowercase__   :       Optional[int]				=	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
              lowercase__   :       str				=	tuple(a)
              lowercase__   :       Union[str, Any]				=	new_word
              if len(a) == 1:
                   break
              else:
                   lowercase__   :       Optional[Any]				=	get_pairs(a)
         lowercase__   :       List[str]				=	' '.join(a)
         if word == "\n  " + BPE_TOKEN_MERGES:
              lowercase__   :       Optional[int]				=	'\n' + BPE_TOKEN_MERGES

         if word.endswith(a):
              lowercase__   :       Dict				=	word.replace(a						,       '')

         lowercase__   :       int				=	word.replace(' '						,       a)
         lowercase__   :       List[str]				=	word
         return word





    def 				snake_case_    (				self						,       a):

         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:
              lowercase__   :       int				=	text.lower()

         lowercase__   :       Optional[int]				=	text.split()

         lowercase__   :       Optional[int]				=	[]
         for token in text:
              if token:
                   split_tokens.extend(list(self.bpe(a).split(' ')))

         return split_tokens





    def 				snake_case_    (				self						,       a):
         return self.encoder.get(a						,       self.encoder.get(self.unk_token))





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Union[str, Any]				=	self.decoder.get(a						,       self.unk_token)
         return result





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Union[str, Any]				=	' '.join(a)

         # make sure @@ tokens are concatenated
         lowercase__   :       Optional[int]				=	''.join(string.split(a))

         return string





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

         lowercase__   :       Optional[Any]				=	0
         if self.bpe_ranks is None:
              return (vocab_file,)

         with open(a						,       'w'						,       encoding='utf-8') as writer:
              for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,       key=lambda a: 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!')
                        lowercase__   :       Dict				=	token_index
                   writer.write(' '.join(a) + '\n')
                   index += 1

         return (vocab_file, merges_file)

