




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


_lowerCamelCase	:    Tuple          =      logging.get_logger(__name__)

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

_lowerCamelCase	:    List[str]          =      {
    '''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''',
    },
}

_lowerCamelCase	:    Dict          =      {
    '''jukebox''': 512,
}




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		int          = VOCAB_FILES_NAMES
	_UpperCAmelCase	:		List[str]          = PRETRAINED_VOCAB_FILES_MAP
	_UpperCAmelCase	:		int          = PRETRAINED_LYRIC_TOKENS_SIZES
	_UpperCAmelCase	:		str          = ["input_ids", "attention_mask"]



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


				'''simple docstring'''


				_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      ,  )
				_snake_case          =      version
				_snake_case          =      max_n_lyric_tokens
				_snake_case          =      n_genres

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

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

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

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

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



	@property
	def 			A							(  self     :   Union[str, Any]     ):


				'''simple docstring'''


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



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


				'''simple docstring'''


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



	def 			A							(  self     :   int      ,  lowercase     :   Dict      ,  lowercase     :   int      ,  lowercase     :   int     ):


				'''simple docstring'''


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

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



	def 			A							(  self     :   Dict      ,  lowercase     :   List[Any]     ):


				'''simple docstring'''


				return list(lowercase     )



	def 			A							(  self     :   str      ,  lowercase     :   List[Any]      ,  lowercase     :   int      ,  lowercase     :   Any      ,  **lowercase     :   Optional[int]     ):


				'''simple docstring'''


				_snake_case     , _snake_case     , _snake_case          =      self.prepare_for_tokenization(lowercase      ,  lowercase      ,  lowercase     )
				_snake_case          =      self._tokenize(lowercase     )
				return artist, genre, lyrics



	def 			A							(  self     :   List[str]      ,  lowercase     :   str      ,  lowercase     :   str      ,  lowercase     :   str      ,  lowercase     :   bool = False     ):


				'''simple docstring'''


				for idx in range(len(self.version     )     ):
							if self.version[idx] == "v3":
										_snake_case          =      artists[idx].lower()
										_snake_case          =      [genres[idx].lower()]
							else:
										_snake_case          =      self._normalize(artists[idx]     ) + '.v2'
										_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":
							_snake_case          =      regex.compile(R'[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'     )
							_snake_case          =      'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'
							_snake_case          =      {vocab[index]: index + 1 for index in range(len(lowercase     )     )}
							_snake_case          =      0
							_snake_case          =      len(lowercase     ) + 1
							_snake_case          =      self.vocab
							_snake_case          =      {v: k for k, v in self.vocab.items()}
							_snake_case          =      ''
				else:
							_snake_case          =      regex.compile(R'[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+'     )

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



	def 			A							(  self     :   Tuple      ,  lowercase     :   List[str]     ):


				'''simple docstring'''


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



	def 			A							(  self     :   Any      ,  lowercase     :   str     ):


				'''simple docstring'''


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



	def 			A							(  self     :   Any      ,  lowercase     :   List[str]     ):


				'''simple docstring'''


				return " ".join(lowercase     )



	def 			A							(  self     :   List[Any]      ,  lowercase     :   str      ,  lowercase     :   Optional[Union[str, TensorType]] = None      ,  lowercase     :   bool = False     ):


				'''simple docstring'''


				if not isinstance(lowercase      ,  lowercase     ):
							_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

							_snake_case          =      tf.constant
							_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

							_snake_case          =      torch.tensor
							_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

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

				# Do the tensor conversion in batch

				try:
							if prepend_batch_axis:
										_snake_case          =      [inputs]

							if not is_tensor(lowercase     ):
										_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     :   Dict      ,  lowercase     :   Dict      ,  lowercase     :   Optional[int]      ,  lowercase     :   str=""      ,  lowercase     :   Optional[int]="pt"     ):


				'''simple docstring'''


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

				_snake_case     , _snake_case     , _snake_case          =      self.tokenize(lowercase      ,  lowercase      ,  lowercase     )
				_snake_case     , _snake_case     , _snake_case          =      self._convert_token_to_id(lowercase      ,  lowercase      ,  lowercase     )

				_snake_case          =      [-INFINITY] * len(full_tokens[-1]     )
				_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 			A							(  self     :   Union[str, Any]      ,  lowercase     :   str      ,  lowercase     :   Optional[str] = None     ):


				'''simple docstring'''


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

				_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     )     )

				_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     )     )

				_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 			A							(  self     :   int      ,  lowercase     :   List[Any]      ,  lowercase     :   List[Any]      ,  lowercase     :   Optional[Any]     ):


				'''simple docstring'''


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

def 	a_		(	__lowercase       :     int = 50_000_000			)			->  int:
			_snake_case          =      set()
			_snake_case          =      int((limit - 24) ** (1 / 2)			)

			_snake_case          =      set(range(3	, prime_square_limit + 1	, 2			)			)
			primes.add(2			)
			for p in range(3	, prime_square_limit + 1	, 2			):
						if p not in primes:
									continue
						primes.difference_update(set(range(p * p	, prime_square_limit + 1	, __lowercase			)			)			)

			for primea in primes:
						_snake_case          =      primea * primea
						for primea in primes:
									_snake_case          =      primea * primea * primea
									if square + cube >= limit - 16:
												break
									for primea in primes:
												_snake_case          =      primea * primea * primea * primea
												_snake_case          =      square + cube + tetr
												if total >= limit:
															break
												ret.add(__lowercase			)

			return len(__lowercase			)


if __name__ == "__main__":
			print(F'{solution() = }')