



'''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											=						logging.get_logger(__name__)

_UpperCamelCase											=						{
    'artists_file': 'artists.json',
    'lyrics_file': 'lyrics.json',
    'genres_file': 'genres.json',
}

_UpperCamelCase											=						{
    '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											=						{
    'jukebox': 512,
}






class 					lowerCamelCase_    (				SCREAMING_SNAKE_CASE_     ):
  """simple docstring"""




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




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

    with open(_a			,	encoding='utf-8'   ) as vocab_handle:
      __lowerCamelCase       :       Tuple           = json.load(_a   )

    with open(_a			,	encoding='utf-8'   ) as vocab_handle:
      __lowerCamelCase       :       Tuple           = json.load(_a   )

    with open(_a			,	encoding='utf-8'   ) as vocab_handle:
      __lowerCamelCase       :       Dict           = json.load(_a   )

    __lowerCamelCase       :       int           = 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:
      __lowerCamelCase       :       List[Any]           = oov.replace(R'\-\''			,	R'\-+\''   )

    __lowerCamelCase       :       int           = regex.compile(_a   )
    __lowerCamelCase       :       Optional[int]           = {v: k for k, v in self.artists_encoder.items()}
    __lowerCamelCase       :       Optional[Any]           = {v: k for k, v in self.genres_encoder.items()}
    __lowerCamelCase       :       str           = {v: k for k, v in self.lyrics_encoder.items()}




  @property
  def 						_lowercase     ( self      :	Dict   )					->					List[str]:
    return len(self.artists_encoder   ) + len(self.genres_encoder   ) + len(self.lyrics_encoder   )




  def 						_lowercase     ( self      :	int   )					->					Any:
    return dict(self.artists_encoder			,	self.genres_encoder			,	self.lyrics_encoder   )




  def 						_lowercase     ( self      :	int			,	_a      :	Any			,	_a      :	List[Any]			,	_a      :	Union[str, Any]   )					->					List[str]:
    __lowerCamelCase       :       List[Any]           = [self.artists_encoder.get(_a			,	0   ) for artist in list_artists]
    for genres in range(len(_a   )   ):
      __lowerCamelCase       :       Optional[int]           = [self.genres_encoder.get(_a			,	0   ) for genre in list_genres[genres]]
      __lowerCamelCase       :       int           = list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]   ))

    __lowerCamelCase       :       Dict           = [[self.lyrics_encoder.get(_a			,	0   ) for character in list_lyrics[0]], [], []]
    return artists_id, list_genres, lyric_ids




  def 						_lowercase     ( self      :	int			,	_a      :	Any   )					->					int:
    return list(_a   )




  def 						_lowercase     ( self      :	List[Any]			,	_a      :	Optional[Any]			,	_a      :	Any			,	_a      :	List[str]			,	**_a      :	Optional[Any]   )					->					Any:
    __lowerCamelCase       ,__lowerCamelCase       ,__lowerCamelCase       :       Union[str, Any]           = self.prepare_for_tokenization(_a			,	_a			,	_a   )
    __lowerCamelCase       :       List[Any]           = self._tokenize(_a   )
    return artist, genre, lyrics




  def 						_lowercase     ( self      :	Union[str, Any]			,	_a      :	str			,	_a      :	str			,	_a      :	str			,	_a      :	bool = False   )					->					Tuple[str, str, str, Dict[str, Any]]:
    for idx in range(len(self.version   )   ):
      if self.version[idx] == "v3":
        __lowerCamelCase       :       Optional[Any]           = artists[idx].lower()
        __lowerCamelCase       :       Optional[Any]           = [genres[idx].lower()]
      else:
        __lowerCamelCase       :       List[Any]           = self._normalize(artists[idx]   ) + '.v2'
        __lowerCamelCase       :       str           = [
            self._normalize(_a   ) + '.v2' for genre in genres[idx].split('_'   )
        ]  # split is for the full dictionary with combined genres

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

    __lowerCamelCase       :       Optional[int]           = self._run_strip_accents(_a   )
    __lowerCamelCase       :       Optional[int]           = lyrics.replace('\\'			,	'\n'   )
    __lowerCamelCase       :       Optional[Any]           = self.out_of_vocab.sub(''			,	_a   ), [], []
    return artists, genres, lyrics




  def 						_lowercase     ( self      :	List[Any]			,	_a      :	Optional[int]   )					->					int:
    __lowerCamelCase       :       List[Any]           = unicodedata.normalize('NFD'			,	_a   )
    __lowerCamelCase       :       Dict           = []
    for char in text:
      __lowerCamelCase       :       Any           = unicodedata.category(_a   )
      if cat == "Mn":
        continue
      output.append(_a   )
    return "".join(_a   )




  def 						_lowercase     ( self      :	int			,	_a      :	str   )					->					str:
    __lowerCamelCase       :       Optional[Any]           = (
        [chr(_a   ) for i in range(ord('a'   )			,	ord('z'   ) + 1   )]
        + [chr(_a   ) for i in range(ord('A'   )			,	ord('Z'   ) + 1   )]
        + [chr(_a   ) for i in range(ord('0'   )			,	ord('9'   ) + 1   )]
        + ['.']
    )
    __lowerCamelCase       :       Optional[Any]           = frozenset(_a   )
    __lowerCamelCase       :       Any           = re.compile(R'_+'   )
    __lowerCamelCase       :       Union[str, Any]           = ''.join([c if c in accepted else '_' for c in text.lower()]   )
    __lowerCamelCase       :       int           = pattern.sub('_'			,	_a   ).strip('_'   )
    return text




  def 						_lowercase     ( self      :	Any			,	_a      :	List[str]   )					->					str:
    return " ".join(_a   )




  def 						_lowercase     ( self      :	Tuple			,	_a      :	Optional[int]			,	_a      :	Optional[Union[str, TensorType]] = None			,	_a      :	bool = False   )					->					List[Any]:
    # Convert to TensorType
    if not isinstance(_a			,	_a   ):
      __lowerCamelCase       :       List[Any]           = TensorType(_a   )

    # 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

      __lowerCamelCase       :       Dict           = tf.constant
      __lowerCamelCase       :       Union[str, Any]           = 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

      __lowerCamelCase       :       Union[str, Any]           = torch.tensor
      __lowerCamelCase       :       List[str]           = 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

      __lowerCamelCase       :       List[Any]           = jnp.array
      __lowerCamelCase       :       Any           = _is_jax
    else:
      __lowerCamelCase       :       Union[str, Any]           = np.asarray
      __lowerCamelCase       :       Tuple           = _is_numpy

    # Do the tensor conversion in batch

    try:
      if prepend_batch_axis:
        __lowerCamelCase       :       str           = [inputs]

      if not is_tensor(_a   ):
        __lowerCamelCase       :       Optional[Any]           = as_tensor(_a   )
    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      :	List[str]			,	_a      :	List[str]			,	_a      :	List[str]			,	_a      :	str=""			,	_a      :	Dict="pt"   )					->					BatchEncoding:
    __lowerCamelCase       :       Optional[int]           = [0, 0, 0]
    __lowerCamelCase       :       Union[str, Any]           = [artist] * len(self.version   )
    __lowerCamelCase       :       List[Any]           = [genres] * len(self.version   )

    __lowerCamelCase       ,__lowerCamelCase       ,__lowerCamelCase       :       Dict           = self.tokenize(_a			,	_a			,	_a   )
    __lowerCamelCase       ,__lowerCamelCase       ,__lowerCamelCase       :       Union[str, Any]           = self._convert_token_to_id(_a			,	_a			,	_a   )

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




  def 						_lowercase     ( self      :	Union[str, Any]			,	_a      :	str			,	_a      :	Optional[str] = None   )					->					Tuple[str]:
    if not os.path.isdir(_a   ):
      logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
      return

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

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

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

    return (artists_file, genres_file, lyrics_file)




  def 						_lowercase     ( self      :	Optional[int]			,	_a      :	str			,	_a      :	str			,	_a      :	Tuple   )					->					int:
    __lowerCamelCase       :       List[str]           = self.artists_decoder.get(_a   )
    __lowerCamelCase       :       Any           = [self.genres_decoder.get(_a   ) for genre in genres_index]
    __lowerCamelCase       :       Optional[int]           = [self.lyrics_decoder.get(_a   ) for character in lyric_index]
    return artist, genres, lyrics











'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


_UpperCamelCase											=						{'configuration_speech_encoder_decoder': ['SpeechEncoderDecoderConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase											=						['SpeechEncoderDecoderModel']

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase											=						['FlaxSpeechEncoderDecoderModel']

if TYPE_CHECKING:
   from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
   import sys

   _UpperCamelCase											=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






