


'''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__    					=      logging.get_logger(__name__)

UpperCamelCase__    					=      {
    '''artists_file''': '''artists.json''',
    '''lyrics_file''': '''lyrics.json''',
    '''genres_file''': '''genres.json''',
}

UpperCamelCase__    					=      {
    '''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__    					=      {
    '''jukebox''': 5_1_2,
}




class 			lowerCamelCase_   (	__lowercase      ):
      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]						,						_A				:    Tuple						,						_A				:    int						,						_A				:    str						,						_A				:    int=["v3", "v2", "v2"]						,						_A				:    Union[str, Any]=512						,						_A				:    Tuple=5						,						_A				:    int="<|endoftext|>"						,						**_A				:    int						,						):


          '''simple docstring'''


          UpperCAmelCase__			:		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_						,						)
          UpperCAmelCase__			:		Any													=				version
          UpperCAmelCase__			:		Any													=				max_n_lyric_tokens
          UpperCAmelCase__			:		List[str]													=				n_genres

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

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

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

          UpperCAmelCase__			:		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 ) == 79:
              UpperCAmelCase__			:		str													=				oov.replace(R'''\-\''''						,						R'''\-+\'''' )

          UpperCAmelCase__			:		Dict													=				regex.compile(snake_case_ )
          UpperCAmelCase__			:		Union[str, Any]													=				{v: k for k, v in self.artists_encoder.items()}
          UpperCAmelCase__			:		Optional[int]													=				{v: k for k, v in self.genres_encoder.items()}
          UpperCAmelCase__			:		Optional[Any]													=				{v: k for k, v in self.lyrics_encoder.items()}






      @property
      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    Union[str, Any] ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    List[str]						,						_A				:    Union[str, Any]						,						_A				:    Optional[Any]						,						_A				:    List[str] ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[Any]													=				[self.artists_encoder.get(snake_case_						,						0 ) for artist in list_artists]
          for genres in range(len(snake_case_ ) ):
              UpperCAmelCase__			:		List[str]													=				[self.genres_encoder.get(snake_case_						,						0 ) for genre in list_genres[genres]]
              UpperCAmelCase__			:		str													=				list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres] ))

          UpperCAmelCase__			:		str													=				[[self.lyrics_encoder.get(snake_case_						,						0 ) for character in list_lyrics[0]], [], []]
          return artists_id, list_genres, lyric_ids






      def lowercase_							(					self				:    List[str]						,						_A				:    Any ):


          '''simple docstring'''


          return list(snake_case_ )






      def lowercase_							(					self				:    Optional[int]						,						_A				:    int						,						_A				:    Optional[Any]						,						_A				:    int						,						**_A				:    Dict ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				self.prepare_for_tokenization(snake_case_						,						snake_case_						,						snake_case_ )
          UpperCAmelCase__			:		Tuple													=				self._tokenize(snake_case_ )
          return artist, genre, lyrics






      def lowercase_							(					self				:    Optional[Any]						,						_A				:    str						,						_A				:    str						,						_A				:    str						,						_A				:    bool = False ):


          '''simple docstring'''


          for idx in range(len(self.version ) ):
              if self.version[idx] == "v3":
                  UpperCAmelCase__			:		Union[str, Any]													=				artists[idx].lower()
                  UpperCAmelCase__			:		List[Any]													=				[genres[idx].lower()]
              else:
                  UpperCAmelCase__			:		Dict													=				self._normalize(artists[idx] ) + '''.v2'''
                  UpperCAmelCase__			:		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":
              UpperCAmelCase__			:		List[Any]													=				regex.compile(R'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+''' )
              UpperCAmelCase__			:		str													=				'''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'''
              UpperCAmelCase__			:		str													=				{vocab[index]: index + 1 for index in range(len(snake_case_ ) )}
              UpperCAmelCase__			:		Any													=				0
              UpperCAmelCase__			:		Dict													=				len(snake_case_ ) + 1
              UpperCAmelCase__			:		Dict													=				self.vocab
              UpperCAmelCase__			:		Optional[int]													=				{v: k for k, v in self.vocab.items()}
              UpperCAmelCase__			:		Tuple													=				''''''
          else:
              UpperCAmelCase__			:		str													=				regex.compile(R'''[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+''' )

          UpperCAmelCase__			:		Optional[int]													=				self._run_strip_accents(snake_case_ )
          UpperCAmelCase__			:		int													=				lyrics.replace('''\\'''						,						'''\n''' )
          UpperCAmelCase__			:		List[Any]													=				self.out_of_vocab.sub(''''''						,						snake_case_ ), [], []
          return artists, genres, lyrics






      def lowercase_							(					self				:    Tuple						,						_A				:    List[str] ):


          '''simple docstring'''


          UpperCAmelCase__			:		str													=				unicodedata.normalize('''NFD'''						,						snake_case_ )
          UpperCAmelCase__			:		str													=				[]
          for char in text:
              UpperCAmelCase__			:		Optional[Any]													=				unicodedata.category(snake_case_ )
              if cat == "Mn":
                  continue
              output.append(snake_case_ )
          return "".join(snake_case_ )






      def lowercase_							(					self				:    Dict						,						_A				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		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 )]
              + ['''.''']
          )
          UpperCAmelCase__			:		Any													=				frozenset(snake_case_ )
          UpperCAmelCase__			:		Dict													=				re.compile(R'''_+''' )
          UpperCAmelCase__			:		Union[str, Any]													=				''''''.join([c if c in accepted else '''_''' for c in text.lower()] )
          UpperCAmelCase__			:		Optional[int]													=				pattern.sub('''_'''						,						snake_case_ ).strip('''_''' )
          return text






      def lowercase_							(					self				:    Optional[Any]						,						_A				:    List[str] ):


          '''simple docstring'''


          return " ".join(snake_case_ )






      def lowercase_							(					self				:    Union[str, Any]						,						_A				:    Tuple						,						_A				:    Optional[Union[str, TensorType]] = None						,						_A				:    bool = False ):


          '''simple docstring'''


          if not isinstance(snake_case_						,						snake_case_ ):
              UpperCAmelCase__			:		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

              UpperCAmelCase__			:		int													=				tf.constant
              UpperCAmelCase__			:		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

              UpperCAmelCase__			:		int													=				torch.tensor
              UpperCAmelCase__			:		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

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

          # Do the tensor conversion in batch

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

              if not is_tensor(snake_case_ ):
                  UpperCAmelCase__			:		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]						,						_A				:    List[Any]						,						_A				:    Optional[int]						,						_A				:    int=""						,						_A				:    List[Any]="pt" ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[int]													=				[0, 0, 0]
          UpperCAmelCase__			:		Any													=				[artist] * len(self.version )
          UpperCAmelCase__			:		List[str]													=				[genres] * len(self.version )

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

          UpperCAmelCase__			:		Union[str, Any]													=				[-INFINITY] * len(full_tokens[-1] )
          UpperCAmelCase__			:		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 lowercase_							(					self				:    Optional[int]						,						_A				:    str						,						_A				:    Optional[str] = None ):


          '''simple docstring'''


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

          UpperCAmelCase__			:		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_ ) )

          UpperCAmelCase__			:		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_ ) )

          UpperCAmelCase__			:		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 lowercase_							(					self				:    List[str]						,						_A				:    Any						,						_A				:    List[str]						,						_A				:    List[str] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				self.artists_decoder.get(snake_case_ )
          UpperCAmelCase__			:		List[Any]													=				[self.genres_decoder.get(snake_case_ ) for genre in genres_index]
          UpperCAmelCase__			:		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()
