





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_					     =	logging.get_logger(__name__)

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

lowercase_					     =	{
    "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_					     =	{
    "jukebox": 512,
}
class        SCREAMING_SNAKE_CASE     (_SCREAMING_SNAKE_CASE   ):
   _UpperCamelCase					:	Optional[Any]				      = VOCAB_FILES_NAMES
   _UpperCamelCase					:	Tuple				      = PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase					:	str				      = PRETRAINED_LYRIC_TOKENS_SIZES
   _UpperCamelCase					:	Union[str, Any]				      = ["input_ids", "attention_mask"]


   def __init__(					self    :       str    ,  a    :       int    ,  a    :       Tuple    ,  a    :       str    ,  a    :       List[Any]=["v3", "v2", "v2"]    ,  a    :       Tuple=512    ,  a    :       List[Any]=5    ,  a    :       Union[str, Any]="<|endoftext|>"    ,  **a    :       List[Any]    ,  )->     List[str]:





      """simple docstring"""







      lowercase__			    =						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_    ,  )
      lowercase__			    =						version
      lowercase__			    =						max_n_lyric_tokens
      lowercase__			    =						n_genres

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

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

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

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

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


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     str:





      """simple docstring"""







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


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict )->     Tuple:





      """simple docstring"""







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


   def  SCREAMING_SNAKE_CASE_							(					self    :       Union[str, Any]    ,  a    :       List[str]    ,  a    :       Optional[Any]    ,  a    :       Dict )->     Optional[Any]:





      """simple docstring"""







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

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


   def  SCREAMING_SNAKE_CASE_							(					self    :       int    ,  a    :       List[str] )->     Optional[Any]:





      """simple docstring"""







      return list(A_ )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  a    :       Optional[int]    ,  a    :       List[str]    ,  a    :       str    ,  **a    :       Union[str, Any] )->     Optional[int]:





      """simple docstring"""







      lowercase__    ,					lowercase__    ,					lowercase__			    =						self.prepare_for_tokenization(A_    ,  A_    ,  A_ )
      lowercase__			    =						self._tokenize(A_ )
      return artist, genre, lyrics


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple    ,  a    :       Tuple    ,  a    :       int    ,  a    :       List[str]    ,  a    :       List[str] = False )->     Tuple[str, str, str, Dict[str, Any]]:





      """simple docstring"""







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

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

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


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[Any]    ,  a    :       str )->     Union[str, Any]:





      """simple docstring"""







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


   def  SCREAMING_SNAKE_CASE_							(					self    :       int    ,  a    :       List[Any] )->     str:





      """simple docstring"""







      lowercase__			    =						(
          [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 )]
          + ['.']
      )
      lowercase__			    =						frozenset(A_ )
      lowercase__			    =						re.compile(R'_+' )
      lowercase__			    =						''.join([c if c in accepted else '_' for c in text.lower()] )
      lowercase__			    =						pattern.sub('_'    ,  A_ ).strip('_' )
      return text


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       Optional[Any] )->     str:





      """simple docstring"""







      return " ".join(A_ )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str]    ,  a    :       Dict    ,  a    :       Any = None    ,  a    :       str = False )->     Optional[int]:





      """simple docstring"""







      if not isinstance(A_    ,  A_ ):
         lowercase__			    =						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

         lowercase__			    =						tf.constant
         lowercase__			    =						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

         lowercase__			    =						torch.tensor
         lowercase__			    =						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

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

      # Do the tensor conversion in batch

      try:
         if prepend_batch_axis:
            lowercase__			    =						[inputs]

         if not is_tensor(A_ ):
            lowercase__			    =						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    :       Dict    ,  a    :       Dict    ,  a    :       Optional[int]    ,  a    :       List[Any]=""    ,  a    :       Union[str, Any]="pt" )->     BatchEncoding:





      """simple docstring"""







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

      lowercase__    ,					lowercase__    ,					lowercase__			    =						self.tokenize(A_    ,  A_    ,  A_ )
      lowercase__    ,					lowercase__    ,					lowercase__			    =						self._convert_token_to_id(A_    ,  A_    ,  A_ )

      lowercase__			    =						[-INFINITY] * len(full_tokens[-1] )
      lowercase__			    =						[
          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  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int]    ,  a    :       Dict    ,  a    :       Optional[Any] = None )->     Tuple[str]:





      """simple docstring"""







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

      lowercase__			    =						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_ ) )

      lowercase__			    =						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_ ) )

      lowercase__			    =						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  SCREAMING_SNAKE_CASE_							(					self    :       Tuple    ,  a    :       Union[str, Any]    ,  a    :       str    ,  a    :       List[str] )->     str:





      """simple docstring"""







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









from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_					     =	logging.get_logger(__name__)

lowercase_					     =	{
    """facebook/deit-base-distilled-patch16-224""": (
        """https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json"""
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}
class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):
   _UpperCamelCase					:	Any				      = 'deit'


   def __init__(					self    :       Any    ,  a    :       Union[str, Any]=768    ,  a    :       Optional[Any]=12    ,  a    :       Union[str, Any]=12    ,  a    :       Optional[int]=3_072    ,  a    :       Optional[int]="gelu"    ,  a    :       Optional[Any]=0.0    ,  a    :       List[Any]=0.0    ,  a    :       int=0.02    ,  a    :       List[str]=1E-1_2    ,  a    :       Optional[int]=224    ,  a    :       Tuple=16    ,  a    :       List[Any]=3    ,  a    :       List[str]=True    ,  a    :       Any=16    ,  **a    :       Union[str, Any]    ,  )->     int:





     """simple docstring"""







     super().__init__(**a )

     lowercase__			    =						hidden_size
     lowercase__			    =						num_hidden_layers
     lowercase__			    =						num_attention_heads
     lowercase__			    =						intermediate_size
     lowercase__			    =						hidden_act
     lowercase__			    =						hidden_dropout_prob
     lowercase__			    =						attention_probs_dropout_prob
     lowercase__			    =						initializer_range
     lowercase__			    =						layer_norm_eps
     lowercase__			    =						image_size
     lowercase__			    =						patch_size
     lowercase__			    =						num_channels
     lowercase__			    =						qkv_bias
     lowercase__			    =						encoder_stride






class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):
   _UpperCamelCase					:	List[Any]				      = version.parse('1.11'   )


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       int )->     Mapping[str, Mapping[int, str]]:





     """simple docstring"""







     return OrderedDict(
         [
             ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
         ] )


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       Any )->     float:





     """simple docstring"""







     return 1E-4


