
"""simple docstring"""

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

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


SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)


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

SCREAMING_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'''
        ),
    },
}

SCREAMING_SNAKE_CASE_    					=						'''</w>'''
SCREAMING_SNAKE_CASE_    					=						'''@@ '''




def     lowercase__						(					lowerCAmelCase				:					Optional[Any] ) ->      List[str]:






    """simple docstring"""




    UpperCAmelCase									=					set()
    UpperCAmelCase									=					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char) )
        UpperCAmelCase									=					char
    return pairs


# Speech2Text2 has no max input length
SCREAMING_SNAKE_CASE_    					=						{'''facebook/s2t-wav2vec2-large-en-de''': 1024}







class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							Dict							      =	VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE   :							Dict							      =	PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE   :							List[str]							      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE   :							List[str]							      =	["input_ids", "attention_mask"]




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

          UpperCAmelCase									=					do_lower_case

          with open(lowercase_   ,       encoding='utf-8'							) as vocab_handle:
              UpperCAmelCase									=					json.load(lowercase_							)
          UpperCAmelCase									=					{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."							)

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

              UpperCAmelCase									=					[tuple(merge.split()[:2]							) for merge in merges]
              UpperCAmelCase									=					dict(zip(lowercase_   ,       range(len(lowercase_							)							)							)							)
              UpperCAmelCase									=					{}




      @property
      def     a_      (							self							)						->					int:
          return len(self.decoder							)




      def     a_      (							self							)						->					Dict:
          return dict(self.encoder   ,       **self.added_tokens_encoder							)




      def     a_      (							self   ,       lowercase_							)						->					Optional[int]:
          UpperCAmelCase									=					tuple(token[:-1]							) + (token[-1] + BPE_TOKEN_MERGES,)
          if token in self.cache:
              return self.cache[token]
          UpperCAmelCase									=					get_pairs(lowercase_							)

          if not pairs:
              return token

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

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

          if word.endswith(lowercase_							):
              UpperCAmelCase									=					word.replace(lowercase_   ,       ''							)

          UpperCAmelCase									=					word.replace(' '   ,       lowercase_							)
          UpperCAmelCase									=					word
          return word




      def     a_      (							self   ,       lowercase_							)						->					Dict:

          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:
              UpperCAmelCase									=					text.lower()

          UpperCAmelCase									=					text.split()

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

          return split_tokens




      def     a_      (							self   ,       lowercase_							)						->					int:
          return self.encoder.get(lowercase_   ,       self.encoder.get(self.unk_token							)							)




      def     a_      (							self   ,       lowercase_							)						->					str:
          UpperCAmelCase									=					self.decoder.get(lowercase_   ,       self.unk_token							)
          return result




      def     a_      (							self   ,       lowercase_							)						->					str:
          UpperCAmelCase									=					' '.join(lowercase_							)

          # make sure @@ tokens are concatenated
          UpperCAmelCase									=					''.join(string.split(lowercase_							)							)

          return string




      def     a_      (							self   ,       lowercase_   ,       lowercase_ = None							)						->					Tuple[str]:
          if not os.path.isdir(lowercase_							):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
              return
          UpperCAmelCase									=					os.path.join(
              lowercase_   ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)
          UpperCAmelCase									=					os.path.join(
              lowercase_   ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']							)

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

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

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

          return (vocab_file, merges_file)





"""simple docstring"""

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							Union[str, Any]							      =	"encoder-decoder"
      __SCREAMING_SNAKE_CASE   :							Any							      =	True




      def __init__(							self   ,       **lowercase_							)						->					str:
          super().__init__(**lowercase_							)
          assert (
              "encoder" in kwargs and "decoder" in kwargs
          ), "Config has to be initialized with encoder and decoder config"
          UpperCAmelCase									=					kwargs.pop('encoder'							)
          UpperCAmelCase									=					encoder_config.pop('model_type'							)
          UpperCAmelCase									=					kwargs.pop('decoder'							)
          UpperCAmelCase									=					decoder_config.pop('model_type'							)

          from ..auto.configuration_auto import AutoConfig

          UpperCAmelCase									=					AutoConfig.for_model(lowercase_   ,       **lowercase_							)
          UpperCAmelCase									=					AutoConfig.for_model(lowercase_   ,       **lowercase_							)
          UpperCAmelCase									=					True




      @classmethod
      def     a_      (							cls   ,       lowercase_   ,       lowercase_   ,       **lowercase_							)						->					PretrainedConfig:
          logger.info('Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'							)
          UpperCAmelCase									=					True
          UpperCAmelCase									=					True

          return cls(encoder=encoder_config.to_dict()   ,       decoder=decoder_config.to_dict()   ,       **lowercase_							)




      def     a_      (							self							)						->					Optional[int]:
          UpperCAmelCase									=					copy.deepcopy(self.__dict__							)
          UpperCAmelCase									=					self.encoder.to_dict()
          UpperCAmelCase									=					self.decoder.to_dict()
          UpperCAmelCase									=					self.__class__.model_type
          return output



