




import json
import os
import re
import unicodedata
from json.encoder import INFINITY
from typing import Any, Dict, List, Optional, Tuple, Union

import numpy as np
import regex

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_flax_available, is_tf_available, is_torch_available, logging
from ...utils.generic import _is_jax, _is_numpy


lowerCamelCase__ :   List[Any]					=							logging.get_logger(__name__)

lowerCamelCase__ :   List[str]					=							{
    'artists_file': 'artists.json',
    'lyrics_file': 'lyrics.json',
    'genres_file': 'genres.json',
}

lowerCamelCase__ :   List[str]					=							{
    'artists_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/artists.json',
    },
    'genres_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/genres.json',
    },
    'lyrics_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/lyrics.json',
    },
}

lowerCamelCase__ :   Optional[int]					=							{
    'jukebox': 512,
}





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 lowercase_				    =    VOCAB_FILES_NAMES
 lowercase_				    =    PRETRAINED_VOCAB_FILES_MAP
 lowercase_				    =    PRETRAINED_LYRIC_TOKENS_SIZES
 lowercase_				    =    ["input_ids", "attention_mask"]



 def __init__(							self  :		Union[str, Any]				,				_lowerCAmelCase  :		List[Any]				,				_lowerCAmelCase  :		Optional[Any]				,				_lowerCAmelCase  :		int				,				_lowerCAmelCase  :		Dict=["v3", "v2", "v2"]				,				_lowerCAmelCase  :		List[Any]=512				,				_lowerCAmelCase  :		List[str]=5				,				_lowerCAmelCase  :		Any="<|endoftext|>"				,				**_lowerCAmelCase  :		List[Any]				,				):
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else unk_token
       super().__init__(
           unk_token=_lowerCAmelCase				,				n_genres=_lowerCAmelCase				,				version=_lowerCAmelCase				,				max_n_lyric_tokens=_lowerCAmelCase				,				**_lowerCAmelCase				,				)
       SCREAMING_SNAKE_CASE_							=			version
       SCREAMING_SNAKE_CASE_							=			max_n_lyric_tokens
       SCREAMING_SNAKE_CASE_							=			n_genres

       with open(_lowerCAmelCase				,				encoding='utf-8'						) as vocab_handle:
             SCREAMING_SNAKE_CASE_							=			json.load(_lowerCAmelCase						)

       with open(_lowerCAmelCase				,				encoding='utf-8'						) as vocab_handle:
             SCREAMING_SNAKE_CASE_							=			json.load(_lowerCAmelCase						)

       with open(_lowerCAmelCase				,				encoding='utf-8'						) as vocab_handle:
             SCREAMING_SNAKE_CASE_							=			json.load(_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			R'[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'
       # In v2, we had a n_vocab=80 and in v3 we missed + and so n_vocab=79 of characters.
       if len(self.lyrics_encoder						) == 79:
             SCREAMING_SNAKE_CASE_							=			oov.replace(R'\-\''				,				R'\-+\''						)

       SCREAMING_SNAKE_CASE_							=			regex.compile(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			{v: k for k, v in self.artists_encoder.items()}
       SCREAMING_SNAKE_CASE_							=			{v: k for k, v in self.genres_encoder.items()}
       SCREAMING_SNAKE_CASE_							=			{v: k for k, v in self.lyrics_encoder.items()}



 @property
 def       lowerCAmelCase_  (							self  :		int						):
       return len(self.artists_encoder						) + len(self.genres_encoder						) + len(self.lyrics_encoder						)



 def       lowerCAmelCase_  (							self  :		str						):
       return dict(self.artists_encoder				,				self.genres_encoder				,				self.lyrics_encoder						)



 def       lowerCAmelCase_  (							self  :		Optional[Any]				,				_lowerCAmelCase  :		List[str]				,				_lowerCAmelCase  :		Optional[Any]				,				_lowerCAmelCase  :		Dict						):
       SCREAMING_SNAKE_CASE_							=			[self.artists_encoder.get(_lowerCAmelCase				,				0						) for artist in list_artists]
       for genres in range(len(_lowerCAmelCase						)						):
             SCREAMING_SNAKE_CASE_							=			[self.genres_encoder.get(_lowerCAmelCase				,				0						) for genre in list_genres[genres]]
             SCREAMING_SNAKE_CASE_							=			list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]						))

       SCREAMING_SNAKE_CASE_							=			[[self.lyrics_encoder.get(_lowerCAmelCase				,				0						) for character in list_lyrics[0]], [], []]
       return artists_id, list_genres, lyric_ids



 def       lowerCAmelCase_  (							self  :		str				,				_lowerCAmelCase  :		Any						):
       return list(_lowerCAmelCase						)



 def       lowerCAmelCase_  (							self  :		List[Any]				,				_lowerCAmelCase  :		int				,				_lowerCAmelCase  :		Dict				,				_lowerCAmelCase  :		Optional[Any]				,				**_lowerCAmelCase  :		int						):
       SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			self.prepare_for_tokenization(_lowerCAmelCase				,				_lowerCAmelCase				,				_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			self._tokenize(_lowerCAmelCase						)
       return artist, genre, lyrics



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		bool = False						):
       for idx in range(len(self.version						)						):
             if self.version[idx] == "v3":
                   SCREAMING_SNAKE_CASE_							=			artists[idx].lower()
                   SCREAMING_SNAKE_CASE_							=			[genres[idx].lower()]
             else:
                   SCREAMING_SNAKE_CASE_							=			self._normalize(artists[idx]						) + '.v2'
                   SCREAMING_SNAKE_CASE_							=			[
                       self._normalize(_lowerCAmelCase						) + '.v2' for genre in genres[idx].split('_'						)
                   ]  # split is for the full dictionary with combined genres

       if self.version[0] == "v2":
             SCREAMING_SNAKE_CASE_							=			regex.compile(R'[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'						)
             SCREAMING_SNAKE_CASE_							=			'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'
             SCREAMING_SNAKE_CASE_							=			{vocab[index]: index + 1 for index in range(len(_lowerCAmelCase						)						)}
             SCREAMING_SNAKE_CASE_							=			0
             SCREAMING_SNAKE_CASE_							=			len(_lowerCAmelCase						) + 1
             SCREAMING_SNAKE_CASE_							=			self.vocab
             SCREAMING_SNAKE_CASE_							=			{v: k for k, v in self.vocab.items()}
             SCREAMING_SNAKE_CASE_							=			''
       else:
             SCREAMING_SNAKE_CASE_							=			regex.compile(R'[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+'						)

       SCREAMING_SNAKE_CASE_							=			self._run_strip_accents(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			lyrics.replace('\\'				,				'\n'						)
       SCREAMING_SNAKE_CASE_							=			self.out_of_vocab.sub(''				,				_lowerCAmelCase						), [], []
       return artists, genres, lyrics



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		List[Any]						):
       SCREAMING_SNAKE_CASE_							=			unicodedata.normalize('NFD'				,				_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			[]
       for char in text:
             SCREAMING_SNAKE_CASE_							=			unicodedata.category(_lowerCAmelCase						)
             if cat == "Mn":
                   continue
             output.append(_lowerCAmelCase						)
       return "".join(_lowerCAmelCase						)



 def       lowerCAmelCase_  (							self  :		str				,				_lowerCAmelCase  :		str						):
       SCREAMING_SNAKE_CASE_							=			(
           [chr(_lowerCAmelCase						) for i in range(ord('a'						)				,				ord('z'						) + 1						)]
           + [chr(_lowerCAmelCase						) for i in range(ord('A'						)				,				ord('Z'						) + 1						)]
           + [chr(_lowerCAmelCase						) for i in range(ord('0'						)				,				ord('9'						) + 1						)]
           + ['.']
       )
       SCREAMING_SNAKE_CASE_							=			frozenset(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			re.compile(R'_+'						)
       SCREAMING_SNAKE_CASE_							=			''.join([c if c in accepted else '_' for c in text.lower()]						)
       SCREAMING_SNAKE_CASE_							=			pattern.sub('_'				,				_lowerCAmelCase						).strip('_'						)
       return text



 def       lowerCAmelCase_  (							self  :		List[Any]				,				_lowerCAmelCase  :		List[str]						):
       return " ".join(_lowerCAmelCase						)



 def       lowerCAmelCase_  (							self  :		Optional[int]				,				_lowerCAmelCase  :		Optional[int]				,				_lowerCAmelCase  :		Optional[Union[str, TensorType]] = None				,				_lowerCAmelCase  :		bool = False						):
       # Convert to TensorType
       if not isinstance(_lowerCAmelCase				,				_lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_							=			TensorType(_lowerCAmelCase						)

       # Get a function reference for the correct framework
       if tensor_type == TensorType.TENSORFLOW:
             if not is_tf_available():
                   raise ImportError(
                       'Unable to convert output to TensorFlow tensors format, TensorFlow is not installed.'						)
             import tensorflow as tf

             SCREAMING_SNAKE_CASE_							=			tf.constant
             SCREAMING_SNAKE_CASE_							=			tf.is_tensor
       elif tensor_type == TensorType.PYTORCH:
             if not is_torch_available():
                   raise ImportError('Unable to convert output to PyTorch tensors format, PyTorch is not installed.'						)
             import torch

             SCREAMING_SNAKE_CASE_							=			torch.tensor
             SCREAMING_SNAKE_CASE_							=			torch.is_tensor
       elif tensor_type == TensorType.JAX:
             if not is_flax_available():
                   raise ImportError('Unable to convert output to JAX tensors format, JAX is not installed.'						)
             import jax.numpy as jnp  # noqa: F811

             SCREAMING_SNAKE_CASE_							=			jnp.array
             SCREAMING_SNAKE_CASE_							=			_is_jax
       else:
             SCREAMING_SNAKE_CASE_							=			np.asarray
             SCREAMING_SNAKE_CASE_							=			_is_numpy

       # Do the tensor conversion in batch

       try:
             if prepend_batch_axis:
                   SCREAMING_SNAKE_CASE_							=			[inputs]

             if not is_tensor(_lowerCAmelCase						):
                   SCREAMING_SNAKE_CASE_							=			as_tensor(_lowerCAmelCase						)
       except:  # noqa E722
             raise ValueError(
                 'Unable to create tensor, you should probably activate truncation and/or padding '
                 'with \'padding=True\' \'truncation=True\' to have batched tensors with the same length.'						)

       return inputs



 def __call__(							self  :		Dict				,				_lowerCAmelCase  :		Union[str, Any]				,				_lowerCAmelCase  :		Tuple				,				_lowerCAmelCase  :		List[Any]=""				,				_lowerCAmelCase  :		Optional[Any]="pt"						):
       SCREAMING_SNAKE_CASE_							=			[0, 0, 0]
       SCREAMING_SNAKE_CASE_							=			[artist] * len(self.version						)
       SCREAMING_SNAKE_CASE_							=			[genres] * len(self.version						)

       SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			self.tokenize(_lowerCAmelCase				,				_lowerCAmelCase				,				_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			self._convert_token_to_id(_lowerCAmelCase				,				_lowerCAmelCase				,				_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			[-INFINITY] * len(full_tokens[-1]						)
       SCREAMING_SNAKE_CASE_							=			[
           self.convert_to_tensors(
               [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]				,				tensor_type=_lowerCAmelCase						)
           for i in range(len(self.version						)						)
       ]
       return BatchEncoding({'input_ids': input_ids, 'attention_masks': attention_masks}						)



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[str] = None						):
       if not os.path.isdir(_lowerCAmelCase						):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
             return

       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['artists_file']						)
       with open(_lowerCAmelCase				,				'w'				,				encoding='utf-8'						) as f:
             f.write(json.dumps(self.artists_encoder				,				ensure_ascii=_lowerCAmelCase						)						)

       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['genres_file']						)
       with open(_lowerCAmelCase				,				'w'				,				encoding='utf-8'						) as f:
             f.write(json.dumps(self.genres_encoder				,				ensure_ascii=_lowerCAmelCase						)						)

       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['lyrics_file']						)
       with open(_lowerCAmelCase				,				'w'				,				encoding='utf-8'						) as f:
             f.write(json.dumps(self.lyrics_encoder				,				ensure_ascii=_lowerCAmelCase						)						)

       return (artists_file, genres_file, lyrics_file)




 def       lowerCAmelCase_  (							self  :		int				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		List[str]				,				_lowerCAmelCase  :		Tuple						):
       SCREAMING_SNAKE_CASE_							=			self.artists_decoder.get(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			[self.genres_decoder.get(_lowerCAmelCase						) for genre in genres_index]
       SCREAMING_SNAKE_CASE_							=			[self.lyrics_decoder.get(_lowerCAmelCase						) for character in lyric_index]
       return artist, genres, lyrics





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

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


lowerCamelCase__ :   List[Any]					=							logging.get_logger(__name__)


lowerCamelCase__ :   List[str]					=							{
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

lowerCamelCase__ :   Union[str, Any]					=							{
    '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'
        ),
    },
}

lowerCamelCase__ :   Optional[Any]					=							'</w>'
lowerCamelCase__ :   Union[str, Any]					=							'@@ '

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]							)					-> Dict:
      SCREAMING_SNAKE_CASE_							=			set()
      SCREAMING_SNAKE_CASE_							=			word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            SCREAMING_SNAKE_CASE_							=			char
      return pairs


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





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 lowercase_				    =    VOCAB_FILES_NAMES
 lowercase_				    =    PRETRAINED_VOCAB_FILES_MAP
 lowercase_				    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_				    =    ["input_ids", "attention_mask"]



 def __init__(							self  :		List[str]				,				_lowerCAmelCase  :		Union[str, Any]				,				_lowerCAmelCase  :		List[Any]="<s>"				,				_lowerCAmelCase  :		Any="<pad>"				,				_lowerCAmelCase  :		List[str]="</s>"				,				_lowerCAmelCase  :		int="<unk>"				,				_lowerCAmelCase  :		Optional[Any]=False				,				_lowerCAmelCase  :		Dict=None				,				**_lowerCAmelCase  :		Tuple				,				):
       super().__init__(
           unk_token=_lowerCAmelCase				,				bos_token=_lowerCAmelCase				,				eos_token=_lowerCAmelCase				,				pad_token=_lowerCAmelCase				,				do_lower_case=_lowerCAmelCase				,				**_lowerCAmelCase				,				)

       SCREAMING_SNAKE_CASE_							=			do_lower_case

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

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

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



 @property
 def       lowerCAmelCase_  (							self  :		List[str]						):
       return len(self.decoder						)



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



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		Tuple						):
       SCREAMING_SNAKE_CASE_							=			tuple(token[:-1]						) + (token[-1] + BPE_TOKEN_MERGES,)
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE_							=			get_pairs(_lowerCAmelCase						)

       if not pairs:
             return token

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

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

       if word.endswith(_lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_							=			word.replace(_lowerCAmelCase				,				''						)

       SCREAMING_SNAKE_CASE_							=			word.replace(' '				,				_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			word
       return word



 def       lowerCAmelCase_  (							self  :		Optional[int]				,				_lowerCAmelCase  :		Optional[int]						):

       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:
             SCREAMING_SNAKE_CASE_							=			text.lower()

       SCREAMING_SNAKE_CASE_							=			text.split()

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

       return split_tokens



 def       lowerCAmelCase_  (							self  :		Union[str, Any]				,				_lowerCAmelCase  :		str						):
       return self.encoder.get(_lowerCAmelCase				,				self.encoder.get(self.unk_token						)						)



 def       lowerCAmelCase_  (							self  :		int				,				_lowerCAmelCase  :		int						):
       SCREAMING_SNAKE_CASE_							=			self.decoder.get(_lowerCAmelCase				,				self.unk_token						)
       return result



 def       lowerCAmelCase_  (							self  :		int				,				_lowerCAmelCase  :		List[str]						):
       SCREAMING_SNAKE_CASE_							=			' '.join(_lowerCAmelCase						)

       # make sure @@ tokens are concatenated
       SCREAMING_SNAKE_CASE_							=			''.join(string.split(_lowerCAmelCase						)						)

       return string




 def       lowerCAmelCase_  (							self  :		int				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[str] = None						):
       if not os.path.isdir(_lowerCAmelCase						):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
             return
       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']						)

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

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

       with open(_lowerCAmelCase				,				'w'				,				encoding='utf-8'						) as writer:
             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 {merges_file}: BPE merge indices are not consecutive."
                             ' Please check that the tokenizer is not corrupted!'						)
                         SCREAMING_SNAKE_CASE_							=			token_index
                   writer.write(' '.join(_lowerCAmelCase						) + '\n'						)
                   index += 1

       return (vocab_file, merges_file)