





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


SCREAMING_SNAKE_CASE_						       =	logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE_						       =	{
    """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""",
    },
}

SCREAMING_SNAKE_CASE_						       =	{
    """jukebox""": 5_1_2,
}

class 		UpperCamelCase__			(				lowerCAmelCase_       ):



     '''simple docstring'''

     __snake_case   :     Tuple		     =      VOCAB_FILES_NAMES
     __snake_case   :     int		     =      PRETRAINED_VOCAB_FILES_MAP
     __snake_case   :     int		     =      PRETRAINED_LYRIC_TOKENS_SIZES
     __snake_case   :     Optional[int]		     =      ["""input_ids""", """attention_mask"""]






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




           '''simple docstring'''


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

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

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

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

           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(_lowercase	)
           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     SCREAMING_SNAKE_CASE__  (							self						:   Tuple	)					->		List[str]:




           '''simple docstring'''


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






     def     SCREAMING_SNAKE_CASE__  (							self						:   str	)					->		Tuple:




           '''simple docstring'''


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






     def     SCREAMING_SNAKE_CASE__  (							self						:   int						,lowerCamelCase__						:   str						,lowerCamelCase__						:   Optional[Any]						,lowerCamelCase__						:   List[str]	)					->		List[str]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						[self.artists_encoder.get(_lowercase						,0	) for artist in list_artists]
           for genres in range(len(_lowercase	)	):
                 SCREAMING_SNAKE_CASE		=						[self.genres_encoder.get(_lowercase						,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(_lowercase						,0	) for character in list_lyrics[0]], [], []]
           return artists_id, list_genres, lyric_ids






     def     SCREAMING_SNAKE_CASE__  (							self						:   List[Any]						,lowerCamelCase__						:   List[Any]	)					->		Optional[int]:




           '''simple docstring'''


           return list(_lowercase	)






     def     SCREAMING_SNAKE_CASE__  (							self						:   Optional[Any]						,lowerCamelCase__						:   str						,lowerCamelCase__						:   Dict						,lowerCamelCase__						:   str						,**lowerCamelCase__						:   Optional[Any]	)					->		Optional[Any]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE, SCREAMING_SNAKE_CASE, SCREAMING_SNAKE_CASE		=						self.prepare_for_tokenization(_lowercase						,_lowercase						,_lowercase	)
           SCREAMING_SNAKE_CASE		=						self._tokenize(_lowercase	)
           return artist, genre, lyrics






     def     SCREAMING_SNAKE_CASE__  (							self						:   List[str]						,lowerCamelCase__						:   str						,lowerCamelCase__						:   Dict						,lowerCamelCase__						:   Optional[Any]						,lowerCamelCase__						:   str = 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(_lowercase	) + """.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(_lowercase	)	)}
                 SCREAMING_SNAKE_CASE		=						0
                 SCREAMING_SNAKE_CASE		=						len(_lowercase	) + 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(_lowercase	)
           SCREAMING_SNAKE_CASE		=						lyrics.replace("""\\"""						,"""\n"""	)
           SCREAMING_SNAKE_CASE		=						self.out_of_vocab.sub(""""""						,_lowercase	), [], []
           return artists, genres, lyrics






     def     SCREAMING_SNAKE_CASE__  (							self						:   Optional[Any]						,lowerCamelCase__						:   Optional[int]	)					->		Any:




           '''simple docstring'''


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






     def     SCREAMING_SNAKE_CASE__  (							self						:   int						,lowerCamelCase__						:   Tuple	)					->		str:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						(
               [chr(_lowercase	) for i in range(ord("""a"""	)						,ord("""z"""	) + 1	)]
               + [chr(_lowercase	) for i in range(ord("""A"""	)						,ord("""Z"""	) + 1	)]
               + [chr(_lowercase	) for i in range(ord("""0"""	)						,ord("""9"""	) + 1	)]
               + ["""."""]
           )
           SCREAMING_SNAKE_CASE		=						frozenset(_lowercase	)
           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("""_"""						,_lowercase	).strip("""_"""	)
           return text






     def     SCREAMING_SNAKE_CASE__  (							self						:   List[str]						,lowerCamelCase__						:   int	)					->		str:




           '''simple docstring'''


           return " ".join(_lowercase	)






     def     SCREAMING_SNAKE_CASE__  (							self						:   int						,lowerCamelCase__						:   Optional[Any]						,lowerCamelCase__						:   Tuple = None						,lowerCamelCase__						:   Optional[int] = False	)					->		Any:




           '''simple docstring'''


           if not isinstance(_lowercase						,_lowercase	):
                 SCREAMING_SNAKE_CASE		=						TensorType(_lowercase	)

           # 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(_lowercase	):
                       SCREAMING_SNAKE_CASE		=						as_tensor(_lowercase	)
           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]						,lowerCamelCase__						:   Optional[int]						,lowerCamelCase__						:   Tuple						,lowerCamelCase__						:   Tuple=""						,lowerCamelCase__						:   List[str]="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(_lowercase						,_lowercase						,_lowercase	)
           SCREAMING_SNAKE_CASE, SCREAMING_SNAKE_CASE, SCREAMING_SNAKE_CASE		=						self._convert_token_to_id(_lowercase						,_lowercase						,_lowercase	)

           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=_lowercase	)
               for i in range(len(self.version	)	)
           ]
           return BatchEncoding({"""input_ids""": input_ids, """attention_masks""": attention_masks}	)






     def     SCREAMING_SNAKE_CASE__  (							self						:   Tuple						,lowerCamelCase__						:   Dict						,lowerCamelCase__						:   int = None	)					->		Tuple[str]:




           '''simple docstring'''


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

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

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

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

           return (artists_file, genres_file, lyrics_file)






     def     SCREAMING_SNAKE_CASE__  (							self						:   Tuple						,lowerCamelCase__						:   Optional[Any]						,lowerCamelCase__						:   Optional[Any]						,lowerCamelCase__						:   Dict	)					->		Dict:




           '''simple docstring'''


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









from PIL import Image



def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Image:


      '''simple docstring'''


      def brightness(_SCREAMING_SNAKE_CASE     ) -> float:
            return 1_28 + level + (c - 1_28)

      if not -255.0 <= level <= 255.0:
            raise ValueError("""level must be between -255.0 (black) and 255.0 (white)"""     )
      return img.point(_SCREAMING_SNAKE_CASE     )


if __name__ == "__main__":
      # Load image
      with Image.open("""image_data/lena.jpg""") as img:
            # Change brightness to 100
            SCREAMING_SNAKE_CASE_						       =	change_brightness(img, 1_0_0)
            brigt_img.save("""image_data/lena_brightness.png""", format="""png""")


