
"""simple docstring"""

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_nllb import NllbTokenizer
else:
       UpperCamelCase     :    Tuple       =			None


UpperCamelCase     :    Union[str, Any]       =			logging.get_logger(__name__)


UpperCamelCase     :    Optional[int]       =			{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase     :    Tuple       =			{
    'vocab_file': {
        'facebook/nllb-200-distilled-600M': (
            'https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'facebook/nllb-200-distilled-600M': (
            'https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/tokenizer.json'
        ),
    },
}

UpperCamelCase     :    List[Any]       =			{
    'facebook/nllb-large-en-ro': 1_0_2_4,
    'facebook/nllb-200-distilled-600M': 1_0_2_4,
}

# fmt: off
UpperCamelCase     :    Dict       =			['ace_Arab', 'ace_Latn', 'acm_Arab', 'acq_Arab', 'aeb_Arab', 'afr_Latn', 'ajp_Arab', 'aka_Latn', 'amh_Ethi', 'apc_Arab', 'arb_Arab', 'ars_Arab', 'ary_Arab', 'arz_Arab', 'asm_Beng', 'ast_Latn', 'awa_Deva', 'ayr_Latn', 'azb_Arab', 'azj_Latn', 'bak_Cyrl', 'bam_Latn', 'ban_Latn', 'bel_Cyrl', 'bem_Latn', 'ben_Beng', 'bho_Deva', 'bjn_Arab', 'bjn_Latn', 'bod_Tibt', 'bos_Latn', 'bug_Latn', 'bul_Cyrl', 'cat_Latn', 'ceb_Latn', 'ces_Latn', 'cjk_Latn', 'ckb_Arab', 'crh_Latn', 'cym_Latn', 'dan_Latn', 'deu_Latn', 'dik_Latn', 'dyu_Latn', 'dzo_Tibt', 'ell_Grek', 'eng_Latn', 'epo_Latn', 'est_Latn', 'eus_Latn', 'ewe_Latn', 'fao_Latn', 'pes_Arab', 'fij_Latn', 'fin_Latn', 'fon_Latn', 'fra_Latn', 'fur_Latn', 'fuv_Latn', 'gla_Latn', 'gle_Latn', 'glg_Latn', 'grn_Latn', 'guj_Gujr', 'hat_Latn', 'hau_Latn', 'heb_Hebr', 'hin_Deva', 'hne_Deva', 'hrv_Latn', 'hun_Latn', 'hye_Armn', 'ibo_Latn', 'ilo_Latn', 'ind_Latn', 'isl_Latn', 'ita_Latn', 'jav_Latn', 'jpn_Jpan', 'kab_Latn', 'kac_Latn', 'kam_Latn', 'kan_Knda', 'kas_Arab', 'kas_Deva', 'kat_Geor', 'knc_Arab', 'knc_Latn', 'kaz_Cyrl', 'kbp_Latn', 'kea_Latn', 'khm_Khmr', 'kik_Latn', 'kin_Latn', 'kir_Cyrl', 'kmb_Latn', 'kon_Latn', 'kor_Hang', 'kmr_Latn', 'lao_Laoo', 'lvs_Latn', 'lij_Latn', 'lim_Latn', 'lin_Latn', 'lit_Latn', 'lmo_Latn', 'ltg_Latn', 'ltz_Latn', 'lua_Latn', 'lug_Latn', 'luo_Latn', 'lus_Latn', 'mag_Deva', 'mai_Deva', 'mal_Mlym', 'mar_Deva', 'min_Latn', 'mkd_Cyrl', 'plt_Latn', 'mlt_Latn', 'mni_Beng', 'khk_Cyrl', 'mos_Latn', 'mri_Latn', 'zsm_Latn', 'mya_Mymr', 'nld_Latn', 'nno_Latn', 'nob_Latn', 'npi_Deva', 'nso_Latn', 'nus_Latn', 'nya_Latn', 'oci_Latn', 'gaz_Latn', 'ory_Orya', 'pag_Latn', 'pan_Guru', 'pap_Latn', 'pol_Latn', 'por_Latn', 'prs_Arab', 'pbt_Arab', 'quy_Latn', 'ron_Latn', 'run_Latn', 'rus_Cyrl', 'sag_Latn', 'san_Deva', 'sat_Beng', 'scn_Latn', 'shn_Mymr', 'sin_Sinh', 'slk_Latn', 'slv_Latn', 'smo_Latn', 'sna_Latn', 'snd_Arab', 'som_Latn', 'sot_Latn', 'spa_Latn', 'als_Latn', 'srd_Latn', 'srp_Cyrl', 'ssw_Latn', 'sun_Latn', 'swe_Latn', 'swh_Latn', 'szl_Latn', 'tam_Taml', 'tat_Cyrl', 'tel_Telu', 'tgk_Cyrl', 'tgl_Latn', 'tha_Thai', 'tir_Ethi', 'taq_Latn', 'taq_Tfng', 'tpi_Latn', 'tsn_Latn', 'tso_Latn', 'tuk_Latn', 'tum_Latn', 'tur_Latn', 'twi_Latn', 'tzm_Tfng', 'uig_Arab', 'ukr_Cyrl', 'umb_Latn', 'urd_Arab', 'uzn_Latn', 'vec_Latn', 'vie_Latn', 'war_Latn', 'wol_Latn', 'xho_Latn', 'ydd_Hebr', 'yor_Latn', 'yue_Hant', 'zho_Hans', 'zho_Hant', 'zul_Latn']

class __lowerCAmelCase		(				_A      ):
     lowercase						       =						VOCAB_FILES_NAMES
     lowercase						       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowercase						       =						PRETRAINED_VOCAB_FILES_MAP
     lowercase						       =						["input_ids", "attention_mask"]
     lowercase						       =						NllbTokenizer

     lowercase						       =						[]
     lowercase						       =						[]





     def __init__(     self     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase="<s>"     ,					__UpperCAmelCase="</s>"     ,					__UpperCAmelCase="</s>"     ,					__UpperCAmelCase="<s>"     ,					__UpperCAmelCase="<unk>"     ,					__UpperCAmelCase="<pad>"     ,					__UpperCAmelCase="<mask>"     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase=False     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	AddedToken(__SCREAMING_SNAKE_CASE     ,					lstrip=__SCREAMING_SNAKE_CASE     ,					rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     ,					__SCREAMING_SNAKE_CASE				) else mask_token
      __UpperCamelCase      =	legacy_behaviour
      super().__init__(
          vocab_file=__SCREAMING_SNAKE_CASE     ,					tokenizer_file=__SCREAMING_SNAKE_CASE     ,					bos_token=__SCREAMING_SNAKE_CASE     ,					eos_token=__SCREAMING_SNAKE_CASE     ,					sep_token=__SCREAMING_SNAKE_CASE     ,					cls_token=__SCREAMING_SNAKE_CASE     ,					unk_token=__SCREAMING_SNAKE_CASE     ,					pad_token=__SCREAMING_SNAKE_CASE     ,					mask_token=__SCREAMING_SNAKE_CASE     ,					src_lang=__SCREAMING_SNAKE_CASE     ,					tgt_lang=__SCREAMING_SNAKE_CASE     ,					additional_special_tokens=__SCREAMING_SNAKE_CASE     ,					legacy_behaviour=__SCREAMING_SNAKE_CASE     ,					**__SCREAMING_SNAKE_CASE     ,					)

      __UpperCamelCase      =	vocab_file
      __UpperCamelCase      =	False if not self.vocab_file else True

      __UpperCamelCase      =	FAIRSEQ_LANGUAGE_CODES.copy()

      if additional_special_tokens is not None:
       # Only add those special tokens if they are not already there.
       _additional_special_tokens.extend(
           [t for t in additional_special_tokens if t not in _additional_special_tokens]				)

      self.add_special_tokens({'additional_special_tokens': _additional_special_tokens}				)
      __UpperCamelCase      =	{
          lang_code: self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE				) for lang_code in FAIRSEQ_LANGUAGE_CODES
      }

      __UpperCamelCase      =	src_lang if src_lang is not None else 'eng_Latn'
      __UpperCamelCase      =	self.convert_tokens_to_ids(self._src_lang				)
      __UpperCamelCase      =	tgt_lang
      self.set_src_lang_special_tokens(self._src_lang				)





     @property
     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      return self._src_lang





     @src_lang.setter
     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	new_src_lang
      self.set_src_lang_special_tokens(self._src_lang				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      if token_ids_a is None:
       return self.prefix_tokens + token_ids_a + self.suffix_tokens
      # We don't expect to process pairs, but leave the pair logic for API consistency
      return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      __UpperCamelCase      =	[self.sep_token_id]
      __UpperCamelCase      =	[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]





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      if src_lang is None or tgt_lang is None:
       raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model'				)
      __UpperCamelCase      =	src_lang
      __UpperCamelCase      =	self(__SCREAMING_SNAKE_CASE     ,					add_special_tokens=__SCREAMING_SNAKE_CASE     ,					return_tensors=__SCREAMING_SNAKE_CASE     ,					**__SCREAMING_SNAKE_CASE				)
      __UpperCamelCase      =	self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE				)
      __UpperCamelCase      =	tgt_lang_id
      return inputs





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = "eng_Latn"     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = "fra_Latn"     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	src_lang
      __UpperCamelCase      =	tgt_lang
      return super().prepare_seqaseq_batch(__SCREAMING_SNAKE_CASE     ,					__SCREAMING_SNAKE_CASE     ,					**__SCREAMING_SNAKE_CASE				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      return self.set_src_lang_special_tokens(self.src_lang				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      return self.set_tgt_lang_special_tokens(self.tgt_lang				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE				)

      if self.legacy_behaviour:
       __UpperCamelCase      =	[]
       __UpperCamelCase      =	[self.eos_token_id, self.cur_lang_code]
      else:
       __UpperCamelCase      =	[self.cur_lang_code]
       __UpperCamelCase      =	[self.eos_token_id]

      __UpperCamelCase      =	self.convert_ids_to_tokens(self.prefix_tokens				)
      __UpperCamelCase      =	self.convert_ids_to_tokens(self.suffix_tokens				)

      __UpperCamelCase      =	processors.TemplateProcessing(
          single=prefix_tokens_str + ['$A'] + suffix_tokens_str     ,					pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str     ,					special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str     ,					self.prefix_tokens + self.suffix_tokens				)				)     ,					)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	self.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE				)
      if self.legacy_behaviour:
       __UpperCamelCase      =	[]
       __UpperCamelCase      =	[self.eos_token_id, self.cur_lang_code]
      else:
       __UpperCamelCase      =	[self.cur_lang_code]
       __UpperCamelCase      =	[self.eos_token_id]

      __UpperCamelCase      =	self.convert_ids_to_tokens(self.prefix_tokens				)
      __UpperCamelCase      =	self.convert_ids_to_tokens(self.suffix_tokens				)

      __UpperCamelCase      =	processors.TemplateProcessing(
          single=prefix_tokens_str + ['$A'] + suffix_tokens_str     ,					pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str     ,					special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str     ,					self.prefix_tokens + self.suffix_tokens				)				)     ,					)







     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      if not self.can_save_slow_tokenizer:
       raise ValueError(
           'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
           'tokenizer.'				)

      if not os.path.isdir(__SCREAMING_SNAKE_CASE				):
       logger.error(F'Vocabulary path ({save_directory}) should be a directory.'				)
       return
      __UpperCamelCase      =	os.path.join(
          __SCREAMING_SNAKE_CASE     ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)

      if os.path.abspath(self.vocab_file				) != os.path.abspath(__SCREAMING_SNAKE_CASE				):
       copyfile(self.vocab_file     ,					__SCREAMING_SNAKE_CASE				)

      return (out_vocab_file,)





"""simple docstring"""

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


UpperCamelCase     :    Tuple       =			logging.get_logger(__name__)

UpperCamelCase     :    int       =			{
    "artists_file": "artists.json",
    "lyrics_file": "lyrics.json",
    "genres_file": "genres.json",
}

UpperCamelCase     :    Optional[Any]       =			{
    "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",
    },
}

UpperCamelCase     :    Any       =			{
    "jukebox": 5_1_2,
}

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):
     lowercase						       =						VOCAB_FILES_NAMES
     lowercase						       =						PRETRAINED_VOCAB_FILES_MAP
     lowercase						       =						PRETRAINED_LYRIC_TOKENS_SIZES
     lowercase						       =						["input_ids", "attention_mask"]





     def __init__(     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase=["v3", "v2", "v2"]     ,					__UpperCAmelCase=512     ,					__UpperCAmelCase=5     ,					__UpperCAmelCase="<|endoftext|>"     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	AddedToken(__UpperCAmelCase     ,					lstrip=__UpperCAmelCase     ,					rstrip=__UpperCAmelCase				) if isinstance(__UpperCAmelCase     ,					__UpperCAmelCase				) else unk_token
      super().__init__(
          unk_token=__UpperCAmelCase     ,					n_genres=__UpperCAmelCase     ,					version=__UpperCAmelCase     ,					max_n_lyric_tokens=__UpperCAmelCase     ,					**__UpperCAmelCase     ,					)
      __UpperCamelCase      =	version
      __UpperCamelCase      =	max_n_lyric_tokens
      __UpperCamelCase      =	n_genres

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

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

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

      __UpperCamelCase      =	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:
       __UpperCamelCase      =	oov.replace(R'\-\''     ,					R'\-+\''				)

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





     @property
     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      return len(self.artists_encoder				) + len(self.genres_encoder				) + len(self.lyrics_encoder				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      return dict(self.artists_encoder     ,					self.genres_encoder     ,					self.lyrics_encoder				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	[self.artists_encoder.get(__UpperCAmelCase     ,					0				) for artist in list_artists]
      for genres in range(len(__UpperCAmelCase				)				):
       __UpperCamelCase      =	[self.genres_encoder.get(__UpperCAmelCase     ,					0				) for genre in list_genres[genres]]
       __UpperCamelCase      =	list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]				))

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





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      return list(__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase  ,     __UpperCamelCase  ,     __UpperCamelCase      =	self.prepare_for_tokenization(__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)
      __UpperCamelCase      =	self._tokenize(__UpperCAmelCase				)
      return artist, genre, lyrics





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase = False				):

      '''simple docstring'''




      for idx in range(len(self.version				)				):
       if self.version[idx] == "v3":
        __UpperCamelCase      =	artists[idx].lower()
        __UpperCamelCase      =	[genres[idx].lower()]
       else:
        __UpperCamelCase      =	self._normalize(artists[idx]				) + '.v2'
        __UpperCamelCase      =	[
            self._normalize(__UpperCAmelCase				) + '.v2' for genre in genres[idx].split('_'				)
        ]  # split is for the full dictionary with combined genres

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

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





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	unicodedata.normalize('NFD'     ,					__UpperCAmelCase				)
      __UpperCamelCase      =	[]
      for char in text:
       __UpperCamelCase      =	unicodedata.category(__UpperCAmelCase				)
       if cat == "Mn":
        continue
       output.append(__UpperCAmelCase				)
      return "".join(__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




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





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      return " ".join(__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = False				):

      '''simple docstring'''




      if not isinstance(__UpperCAmelCase     ,					__UpperCAmelCase				):
       __UpperCamelCase      =	TensorType(__UpperCAmelCase				)

      # 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

       __UpperCamelCase      =	tf.constant
       __UpperCamelCase      =	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

       __UpperCamelCase      =	torch.tensor
       __UpperCamelCase      =	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

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

      # Do the tensor conversion in batch

      try:
       if prepend_batch_axis:
        __UpperCamelCase      =	[inputs]

       if not is_tensor(__UpperCAmelCase				):
        __UpperCamelCase      =	as_tensor(__UpperCAmelCase				)
      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     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase=""     ,					__UpperCAmelCase="pt"				):

      '''simple docstring'''




      __UpperCamelCase      =	[0, 0, 0]
      __UpperCamelCase      =	[artist] * len(self.version				)
      __UpperCamelCase      =	[genres] * len(self.version				)

      __UpperCamelCase  ,     __UpperCamelCase  ,     __UpperCamelCase      =	self.tokenize(__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)
      __UpperCamelCase  ,     __UpperCamelCase  ,     __UpperCamelCase      =	self._convert_token_to_id(__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)

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





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      if not os.path.isdir(__UpperCAmelCase				):
       logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
       return

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

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

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

      return (artists_file, genres_file, lyrics_file)







     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	self.artists_decoder.get(__UpperCAmelCase				)
      __UpperCamelCase      =	[self.genres_decoder.get(__UpperCAmelCase				) for genre in genres_index]
      __UpperCamelCase      =	[self.lyrics_decoder.get(__UpperCAmelCase				) for character in lyric_index]
      return artist, genres, lyrics



