
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 		UpperCamelCase__  (       __lowercase    ):
   _SCREAMING_SNAKE_CASE      :							Optional[int]	       =      VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE      :							List[Any]	       =      PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE      :							str	       =      PRETRAINED_LYRIC_TOKENS_SIZES
   _SCREAMING_SNAKE_CASE      :							int	       =      ["input_ids", "attention_mask"]
   def __init__(self :					Union[str, Any]					,				snake_case_ :					Tuple					,				snake_case_ :					int					,				snake_case_ :					str					,				snake_case_ :					int=["v3", "v2", "v2"]					,				snake_case_ :					Union[str, Any]=5_1_2					,				snake_case_ :					Tuple=5					,				snake_case_ :					int="<|endoftext|>"					,				**snake_case_ :					int					,				):
    __a :  str						=  AddedToken(snake_case_					,				lstrip=snake_case_					,				rstrip=snake_case_   ) if isinstance(snake_case_					,				snake_case_   ) else unk_token
    super().__init__(
        unk_token=snake_case_					,				n_genres=snake_case_					,				version=snake_case_					,				max_n_lyric_tokens=snake_case_					,				**snake_case_					,				)
    __a :  Any						=  version
    __a :  Any						=  max_n_lyric_tokens
    __a :  List[str]						=  n_genres

    with open(snake_case_					,				encoding='''utf-8'''   ) as vocab_handle:
     __a :  int						=  json.load(snake_case_   )

    with open(snake_case_					,				encoding='''utf-8'''   ) as vocab_handle:
     __a :  List[str]						=  json.load(snake_case_   )

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

    __a :  Optional[Any]						=  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   ) == 7_9:
     __a :  str						=  oov.replace(r'''\-\''''					,				r'''\-+\''''   )

    __a :  Dict						=  regex.compile(snake_case_   )
    __a :  Union[str, Any]						=  {v: k for k, v in self.artists_encoder.items()}
    __a :  Optional[int]						=  {v: k for k, v in self.genres_encoder.items()}
    __a :  Optional[Any]						=  {v: k for k, v in self.lyrics_encoder.items()}
   @property
   def       lowerCAmelCase			(self :					Tuple   ):
    return len(self.artists_encoder   ) + len(self.genres_encoder   ) + len(self.lyrics_encoder   )
   def       lowerCAmelCase			(self :					Union[str, Any]   ):
    return dict(self.artists_encoder					,				self.genres_encoder					,				self.lyrics_encoder   )
   def       lowerCAmelCase			(self :					List[str]					,				snake_case_ :					Union[str, Any]					,				snake_case_ :					Optional[Any]					,				snake_case_ :					List[str]   ):
    __a :  List[Any]						=  [self.artists_encoder.get(snake_case_					,				0   ) for artist in list_artists]
    for genres in range(len(snake_case_   )   ):
     __a :  List[str]						=  [self.genres_encoder.get(snake_case_					,				0   ) for genre in list_genres[genres]]
     __a :  str						=  list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]   ))

    __a :  str						=  [[self.lyrics_encoder.get(snake_case_					,				0   ) for character in list_lyrics[0]], [], []]
    return artists_id, list_genres, lyric_ids
   def       lowerCAmelCase			(self :					List[str]					,				snake_case_ :					Any   ):
    return list(snake_case_   )
   def       lowerCAmelCase			(self :					Optional[int]					,				snake_case_ :					int					,				snake_case_ :					Optional[Any]					,				snake_case_ :					int					,				**snake_case_ :					Dict   ):
    __a				,       __a				,       __a :  Optional[Any]						=  self.prepare_for_tokenization(snake_case_					,				snake_case_					,				snake_case_   )
    __a :  Tuple						=  self._tokenize(snake_case_   )
    return artist, genre, lyrics
   def       lowerCAmelCase			(self :					Optional[Any]					,				snake_case_ :					str					,				snake_case_ :					str					,				snake_case_ :					str					,				snake_case_ :					bool = False   ):
    for idx in range(len(self.version   )   ):
     if self.version[idx] == "v3":
      __a :  Union[str, Any]						=  artists[idx].lower()
      __a :  List[Any]						=  [genres[idx].lower()]
     else:
      __a :  Dict						=  self._normalize(artists[idx]   ) + '''.v2'''
      __a :  List[Any]						=  [
          self._normalize(snake_case_   ) + '''.v2''' for genre in genres[idx].split('''_'''   )
      ]  # split is for the full dictionary with combined genres

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

    __a :  Optional[int]						=  self._run_strip_accents(snake_case_   )
    __a :  int						=  lyrics.replace('''\\'''					,				'''\n'''   )
    __a :  List[Any]						=  self.out_of_vocab.sub(''''''					,				snake_case_   ), [], []
    return artists, genres, lyrics
   def       lowerCAmelCase			(self :					Tuple					,				snake_case_ :					List[str]   ):
    __a :  str						=  unicodedata.normalize('''NFD'''					,				snake_case_   )
    __a :  str						=  []
    for char in text:
     __a :  Optional[Any]						=  unicodedata.category(snake_case_   )
     if cat == "Mn":
      continue
     output.append(snake_case_   )
    return "".join(snake_case_   )
   def       lowerCAmelCase			(self :					Dict					,				snake_case_ :					str   ):
    __a :  List[str]						=  (
        [chr(snake_case_   ) for i in range(ord('''a'''   )					,				ord('''z'''   ) + 1   )]
        + [chr(snake_case_   ) for i in range(ord('''A'''   )					,				ord('''Z'''   ) + 1   )]
        + [chr(snake_case_   ) for i in range(ord('''0'''   )					,				ord('''9'''   ) + 1   )]
        + ['''.''']
    )
    __a :  Any						=  frozenset(snake_case_   )
    __a :  Dict						=  re.compile(r'''_+'''   )
    __a :  Union[str, Any]						=  ''''''.join([c if c in accepted else '''_''' for c in text.lower()]   )
    __a :  Optional[int]						=  pattern.sub('''_'''					,				snake_case_   ).strip('''_'''   )
    return text
   def       lowerCAmelCase			(self :					Optional[Any]					,				snake_case_ :					List[str]   ):
    return " ".join(snake_case_   )
   def       lowerCAmelCase			(self :					Union[str, Any]					,				snake_case_ :					Tuple					,				snake_case_ :					Optional[Union[str, TensorType]] = None					,				snake_case_ :					bool = False   ):
    # Convert to TensorType
    if not isinstance(snake_case_					,				snake_case_   ):
     __a :  Optional[Any]						=  TensorType(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

     __a :  int						=  tf.constant
     __a :  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

     __a :  int						=  torch.tensor
     __a :  Any						=  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

     __a :  Tuple						=  jnp.array
     __a :  Tuple						=  _is_jax
    else:
     __a :  int						=  np.asarray
     __a :  Any						=  _is_numpy

    # Do the tensor conversion in batch

    try:
     if prepend_batch_axis:
      __a :  int						=  [inputs]

     if not is_tensor(snake_case_   ):
      __a :  Tuple						=  as_tensor(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 :					Optional[int]					,				snake_case_ :					List[Any]					,				snake_case_ :					Optional[int]					,				snake_case_ :					int=""					,				snake_case_ :					List[Any]="pt"   ):
    __a :  Optional[int]						=  [0, 0, 0]
    __a :  Any						=  [artist] * len(self.version   )
    __a :  List[str]						=  [genres] * len(self.version   )

    __a				,       __a				,       __a :  str						=  self.tokenize(snake_case_					,				snake_case_					,				snake_case_   )
    __a				,       __a				,       __a :  List[str]						=  self._convert_token_to_id(snake_case_					,				snake_case_					,				snake_case_   )

    __a :  Union[str, Any]						=  [-INFINITY] * len(full_tokens[-1]   )
    __a :  List[str]						=  [
        self.convert_to_tensors(
            [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]					,				tensor_type=snake_case_   )
        for i in range(len(self.version   )   )
    ]
    return BatchEncoding({'''input_ids''': input_ids, '''attention_masks''': attention_masks}   )
   def       lowerCAmelCase			(self :					Optional[int]					,				snake_case_ :					str					,				snake_case_ :					Optional[str] = None   ):
    if not os.path.isdir(snake_case_   ):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"   )
     return

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

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

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

    return (artists_file, genres_file, lyrics_file)







   def       lowerCAmelCase			(self :					List[str]					,				snake_case_ :					Any					,				snake_case_ :					List[str]					,				snake_case_ :					List[str]   ):
    __a :  Union[str, Any]						=  self.artists_decoder.get(snake_case_   )
    __a :  List[Any]						=  [self.genres_decoder.get(snake_case_   ) for genre in genres_index]
    __a :  Union[str, Any]						=  [self.lyrics_decoder.get(snake_case_   ) for character in lyric_index]
    return artist, genres, lyrics


import colorsys

from PIL import Image  # type: ignore




def    __UpperCamelCase     (				lowerCAmelCase__							:				float  ,   lowerCAmelCase__							:				float  ,   lowerCAmelCase__							:				int  ):
 __a :  Any						=  x
 __a :  List[Any]						=  y
 for step in range(lowerCAmelCase__  ):  # noqa: B007
  __a :  List[Any]						=  a * a - b * b + x
  __a :  Tuple						=  2 * a * b + y
  __a :  Optional[int]						=  a_new

  # divergence happens for all complex number with an absolute value
  # greater than 4
  if a * a + b * b > 4:
   break
 return step / (max_step - 1)




def    __UpperCamelCase     (				lowerCAmelCase__							:				float  ):
 if distance == 1:
  return (0, 0, 0)
 else:
  return (2_5_5, 2_5_5, 2_5_5)




def    __UpperCamelCase     (				lowerCAmelCase__							:				float  ):
 if distance == 1:
  return (0, 0, 0)
 else:
  return tuple(round(i * 2_5_5  ) for i in colorsys.hsv_to_rgb(lowerCAmelCase__  ,   1  ,   1  )  )




def    __UpperCamelCase     (				lowerCAmelCase__							:				int = 8_0_0  ,   lowerCAmelCase__							:				int = 6_0_0  ,   lowerCAmelCase__							:				float = -0.6  ,   lowerCAmelCase__							:				float = 0  ,   lowerCAmelCase__							:				float = 3.2  ,   lowerCAmelCase__							:				int = 5_0  ,   lowerCAmelCase__							:				bool = True  ,   ):
 __a :  int						=  Image.new('''RGB'''  ,   (image_width, image_height)  )
 __a :  Dict						=  img.load()

 # loop through the image-coordinates
 for image_x in range(lowerCAmelCase__  ):
  for image_y in range(lowerCAmelCase__  ):
   # determine the figure-coordinates based on the image-coordinates
   __a :  Optional[Any]						=  figure_width / image_width * image_height
   __a :  str						=  figure_center_x + (image_x / image_width - 0.5) * figure_width
   __a :  str						=  figure_center_y + (image_y / image_height - 0.5) * figure_height

   __a :  Tuple						=  get_distance(lowerCAmelCase__  ,   lowerCAmelCase__  ,   lowerCAmelCase__  )

   # color the corresponding pixel based on the selected coloring-function
   if use_distance_color_coding:
    __a :  Optional[int]						=  get_color_coded_rgb(lowerCAmelCase__  )
   else:
    __a :  Optional[Any]						=  get_black_and_white_rgb(lowerCAmelCase__  )

 return img


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      # colored version, full figure
      lowercase__       =get_image()

      # uncomment for colored version, different section, zoomed in
      # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
      # figure_width = 0.8)

      # uncomment for black and white version, full figure
      # img = get_image(use_distance_color_coding = False)

      # uncomment to save the image
      # img.save("mandelbrot.png")

      img.show()
