

'''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 :       int			   =     logging.get_logger(__name__)

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

UpperCAmelCase :       int			   =     {
    '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 :       Dict			   =     {
    'jukebox': 5_1_2,
}







class 						lowerCAmelCase__   (      a					):



 """simple docstring"""



 lowerCAmelCase__  					=      VOCAB_FILES_NAMES
 lowerCAmelCase__  					=      PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__  					=      PRETRAINED_LYRIC_TOKENS_SIZES
 lowerCAmelCase__  					=      ["input_ids", "attention_mask"]
 def __init__(		self					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       Tuple					,							__SCREAMING_SNAKE_CASE					:       int					,							__SCREAMING_SNAKE_CASE					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       List[str]=["v3", "v2", "v2"]					,							__SCREAMING_SNAKE_CASE					:       Optional[Any]=512					,							__SCREAMING_SNAKE_CASE					:       Optional[int]=5					,							__SCREAMING_SNAKE_CASE					:       Optional[Any]="<|endoftext|>"					,							**__SCREAMING_SNAKE_CASE					:       str					,							)  -> List[Any]:


      """simple docstring"""




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

      with open(__SCREAMING_SNAKE_CASE					,							encoding="""utf-8"""			) as vocab_handle:
           __SCREAMING_SNAKE_CASE     =      json.load(__SCREAMING_SNAKE_CASE			)

      with open(__SCREAMING_SNAKE_CASE					,							encoding="""utf-8"""			) as vocab_handle:
           __SCREAMING_SNAKE_CASE     =      json.load(__SCREAMING_SNAKE_CASE			)

      with open(__SCREAMING_SNAKE_CASE					,							encoding="""utf-8"""			) as vocab_handle:
           __SCREAMING_SNAKE_CASE     =      json.load(__SCREAMING_SNAKE_CASE			)

      __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(__SCREAMING_SNAKE_CASE			)
      __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       UpperCAmelCase__		(		self					:       Optional[int]			)  -> Dict:


      """simple docstring"""




      return len(self.artists_encoder			) + len(self.genres_encoder			) + len(self.lyrics_encoder			)
 def       UpperCAmelCase__		(		self					:       Dict			)  -> Any:


      """simple docstring"""




      return dict(self.artists_encoder					,							self.genres_encoder					,							self.lyrics_encoder			)
 def       UpperCAmelCase__		(		self					:       Optional[int]					,							__SCREAMING_SNAKE_CASE					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       Dict					,							__SCREAMING_SNAKE_CASE					:       Any			)  -> Optional[int]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      [self.artists_encoder.get(__SCREAMING_SNAKE_CASE					,							0			) for artist in list_artists]
      for genres in range(len(__SCREAMING_SNAKE_CASE			)			):
           __SCREAMING_SNAKE_CASE     =      [self.genres_encoder.get(__SCREAMING_SNAKE_CASE					,							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(__SCREAMING_SNAKE_CASE					,							0			) for character in list_lyrics[0]], [], []]
      return artists_id, list_genres, lyric_ids
 def       UpperCAmelCase__		(		self					:       int					,							__SCREAMING_SNAKE_CASE					:       int			)  -> Tuple:


      """simple docstring"""




      return list(__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       Optional[Any]					,							__SCREAMING_SNAKE_CASE					:       List[Any]					,							**__SCREAMING_SNAKE_CASE					:       Optional[Any]			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE     =      self.prepare_for_tokenization(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)
      __SCREAMING_SNAKE_CASE     =      self._tokenize(__SCREAMING_SNAKE_CASE			)
      return artist, genre, lyrics
 def       UpperCAmelCase__		(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       bool = False			)  -> Tuple[str, str, str, Dict[str, Any]]:


      """simple docstring"""




      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(__SCREAMING_SNAKE_CASE			) + """.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(__SCREAMING_SNAKE_CASE			)			)}
           __SCREAMING_SNAKE_CASE     =      0
           __SCREAMING_SNAKE_CASE     =      len(__SCREAMING_SNAKE_CASE			) + 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(__SCREAMING_SNAKE_CASE			)
      __SCREAMING_SNAKE_CASE     =      lyrics.replace("""\\"""					,							"""\n"""			)
      __SCREAMING_SNAKE_CASE     =      self.out_of_vocab.sub(""""""					,							__SCREAMING_SNAKE_CASE			), [], []
      return artists, genres, lyrics
 def       UpperCAmelCase__		(		self					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       List[str]			)  -> str:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      unicodedata.normalize("""NFD"""					,							__SCREAMING_SNAKE_CASE			)
      __SCREAMING_SNAKE_CASE     =      []
      for char in text:
           __SCREAMING_SNAKE_CASE     =      unicodedata.category(__SCREAMING_SNAKE_CASE			)
           if cat == "Mn":
                continue
           output.append(__SCREAMING_SNAKE_CASE			)
      return "".join(__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       str			)  -> str:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      (
          [chr(__SCREAMING_SNAKE_CASE			) for i in range(ord("""a"""			)					,							ord("""z"""			) + 1			)]
          + [chr(__SCREAMING_SNAKE_CASE			) for i in range(ord("""A"""			)					,							ord("""Z"""			) + 1			)]
          + [chr(__SCREAMING_SNAKE_CASE			) for i in range(ord("""0"""			)					,							ord("""9"""			) + 1			)]
          + ["""."""]
      )
      __SCREAMING_SNAKE_CASE     =      frozenset(__SCREAMING_SNAKE_CASE			)
      __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("""_"""					,							__SCREAMING_SNAKE_CASE			).strip("""_"""			)
      return text
 def       UpperCAmelCase__		(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       List[str]			)  -> str:


      """simple docstring"""




      return " ".join(__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       str					,							__SCREAMING_SNAKE_CASE					:       Any					,							__SCREAMING_SNAKE_CASE					:       Optional[Union[str, TensorType]] = None					,							__SCREAMING_SNAKE_CASE					:       bool = False			)  -> Tuple:


      """simple docstring"""




      if not isinstance(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			):
           __SCREAMING_SNAKE_CASE     =      TensorType(__SCREAMING_SNAKE_CASE			)

      # 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(__SCREAMING_SNAKE_CASE			):
                __SCREAMING_SNAKE_CASE     =      as_tensor(__SCREAMING_SNAKE_CASE			)
      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					:       Any					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       int=""					,							__SCREAMING_SNAKE_CASE					:       List[Any]="pt"			)  -> BatchEncoding:


      """simple docstring"""




      __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(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)
      __SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE     =      self._convert_token_to_id(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)

      __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=__SCREAMING_SNAKE_CASE			)
          for i in range(len(self.version			)			)
      ]
      return BatchEncoding({"""input_ids""": input_ids, """attention_masks""": attention_masks}			)
 def       UpperCAmelCase__		(		self					:       List[str]					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       Optional[str] = None			)  -> Tuple[str]:


      """simple docstring"""




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

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

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

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

      return (artists_file, genres_file, lyrics_file)


 def       UpperCAmelCase__		(		self					:       List[str]					,							__SCREAMING_SNAKE_CASE					:       Dict					,							__SCREAMING_SNAKE_CASE					:       List[str]					,							__SCREAMING_SNAKE_CASE					:       int			)  -> Union[str, Any]:


      """simple docstring"""




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









'''simple docstring'''



import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
  import jax







@require_flax
class 						lowerCAmelCase__   (      a ,					unittest.TestCase					):



 """simple docstring"""



 lowerCAmelCase__  					=      FlaxAutoencoderKL
 @property
 def       UpperCAmelCase__		(		self					:       Tuple			)  -> List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      4
      __SCREAMING_SNAKE_CASE     =      3
      __SCREAMING_SNAKE_CASE     =      (32, 32)

      __SCREAMING_SNAKE_CASE     =      jax.random.PRNGKey(0			)
      __SCREAMING_SNAKE_CASE     =      jax.random.uniform(__SCREAMING_SNAKE_CASE					,							((batch_size, num_channels) + sizes)			)

      return {"sample": image, "prng_key": prng_key}


 def       UpperCAmelCase__		(		self					:       Union[str, Any]			)  -> Any:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      {
          """block_out_channels""": [32, 64],
          """in_channels""": 3,
          """out_channels""": 3,
          """down_block_types""": ["""DownEncoderBlock2D""", """DownEncoderBlock2D"""],
          """up_block_types""": ["""UpDecoderBlock2D""", """UpDecoderBlock2D"""],
          """latent_channels""": 4,
      }
      __SCREAMING_SNAKE_CASE     =      self.dummy_input
      return init_dict, inputs_dict






