'''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


lowercase__  :      Optional[int]        =					logging.get_logger(__name__)

lowercase__  :      Union[str, Any]        =					{
    "artists_file": "artists.json",
    "lyrics_file": "lyrics.json",
    "genres_file": "genres.json",
}

lowercase__  :      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",
    },
}

lowercase__  :      Optional[int]        =					{
    "jukebox": 512,
}







class lowerCamelCase							(	lowerCamelCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	VOCAB_FILES_NAMES
  lowerCAmelCase__										=	PRETRAINED_VOCAB_FILES_MAP
  lowerCAmelCase__										=	PRETRAINED_LYRIC_TOKENS_SIZES
  lowerCAmelCase__										=	['''input_ids''', '''attention_mask''']






  def __init__(      self			:       Optional[int]  ,							UpperCAmelCase__			:       int  ,							UpperCAmelCase__			:       List[str]  ,							UpperCAmelCase__			:       Optional[int]  ,							UpperCAmelCase__			:       Optional[int]=["v3", "v2", "v2"]  ,							UpperCAmelCase__			:       Tuple=512  ,							UpperCAmelCase__			:       Tuple=5  ,							UpperCAmelCase__			:       Any="<|endoftext|>"  ,							**UpperCAmelCase__			:       Union[str, Any]  ,							)				->List[str]:
        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  lowerCAmelCase__ (      self			:       List[Any]  )				->Optional[int]:
        return len(self.artists_encoder  ) + len(self.genres_encoder  ) + len(self.lyrics_encoder  )






  def  lowerCAmelCase__ (      self			:       str  )				->List[str]:
        return dict(self.artists_encoder  ,							self.genres_encoder  ,							self.lyrics_encoder  )






  def  lowerCAmelCase__ (      self			:       Tuple  ,							UpperCAmelCase__			:       List[str]  ,							UpperCAmelCase__			:       List[Any]  ,							UpperCAmelCase__			:       List[Any]  )				->Optional[int]:
        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  lowerCAmelCase__ (      self			:       Dict  ,							UpperCAmelCase__			:       List[str]  )				->Tuple:
        return list(UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       int  ,							UpperCAmelCase__			:       Any  ,							UpperCAmelCase__			:       Tuple  ,							UpperCAmelCase__			:       Optional[int]  ,							**UpperCAmelCase__			:       str  )				->Optional[int]:
        UpperCAmelCase_      ,		UpperCAmelCase_      ,		UpperCAmelCase_            =  self.prepare_for_tokenization(UpperCAmelCase__  ,							UpperCAmelCase__  ,							UpperCAmelCase__  )
        UpperCAmelCase_            =  self._tokenize(UpperCAmelCase__  )
        return artist, genre, lyrics






  def  lowerCAmelCase__ (      self			:       Optional[Any]  ,							UpperCAmelCase__			:       str  ,							UpperCAmelCase__			:       str  ,							UpperCAmelCase__			:       str  ,							UpperCAmelCase__			:       bool = False  )				->Tuple[str, str, str, Dict[str, Any]]:
        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  lowerCAmelCase__ (      self			:       Tuple  ,							UpperCAmelCase__			:       Optional[int]  )				->Dict:
        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  lowerCAmelCase__ (      self			:       Tuple  ,							UpperCAmelCase__			:       str  )				->str:
        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  lowerCAmelCase__ (      self			:       Union[str, Any]  ,							UpperCAmelCase__			:       List[str]  )				->str:
        return " ".join(UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Tuple  ,							UpperCAmelCase__			:       Optional[Any]  ,							UpperCAmelCase__			:       Optional[Union[str, TensorType]] = None  ,							UpperCAmelCase__			:       bool = False  )				->List[str]:
        # Convert to TensorType
        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			:       int  ,							UpperCAmelCase__			:       str  ,							UpperCAmelCase__			:       Tuple  ,							UpperCAmelCase__			:       int=""  ,							UpperCAmelCase__			:       int="pt"  )				->BatchEncoding:
        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  lowerCAmelCase__ (      self			:       str  ,							UpperCAmelCase__			:       str  ,							UpperCAmelCase__			:       Optional[str] = None  )				->Tuple[str]:
        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  lowerCAmelCase__ (      self			:       int  ,							UpperCAmelCase__			:       int  ,							UpperCAmelCase__			:       Dict  ,							UpperCAmelCase__			:       str  )				->Dict:
        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






'''simple docstring'''
lowercase__  :      Union[str, Any]        =					"\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

lowercase__  :      str        =					[{"type": "code", "content": INSTALL_CONTENT}]
lowercase__  :      Any        =					{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}





