
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


__A							=logging.get_logger(__name__)

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

__A							={
    '''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''',
    },
}

__A							={
    '''jukebox''': 5_1_2,
}




class        _SCREAMING_SNAKE_CASE	( snake_case_		):
	lowerCAmelCase__   =					VOCAB_FILES_NAMES
	lowerCAmelCase__   =					PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase__   =					PRETRAINED_LYRIC_TOKENS_SIZES
	lowerCAmelCase__   =					['input_ids', 'attention_mask']



	def __init__(       self		,    lowercase		,    lowercase		,    lowercase		,    lowercase=["v3", "v2", "v2"]		,    lowercase=512		,    lowercase=5		,    lowercase="<|endoftext|>"		,    **lowercase		,    )							->			Any:
					lowerCamelCase_         =     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		,    )
					lowerCamelCase_         =     version
					lowerCamelCase_         =     max_n_lyric_tokens
					lowerCamelCase_         =     n_genres

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

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

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

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

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



	@property
	def        SCREAMING_SNAKE_CASE_(       self					)							->			str:
					return len(self.artists_encoder					) + len(self.genres_encoder					) + len(self.lyrics_encoder					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[Any]:
					return dict(self.artists_encoder		,    self.genres_encoder		,    self.lyrics_encoder					)



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

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



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			List[str]:
					return list(lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase		,    lowercase		,    **lowercase					)							->			Union[str, Any]:
					lowerCamelCase_      ,       lowerCamelCase_      ,       lowerCamelCase_         =     self.prepare_for_tokenization(lowercase		,    lowercase		,    lowercase					)
					lowerCamelCase_         =     self._tokenize(lowercase					)
					return artist, genre, lyrics



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase		,    lowercase		,    lowercase = False					)							->			Tuple[str, str, str, Dict[str, Any]]:
					for idx in range(len(self.version					)					):
									if self.version[idx] == "v3":
													lowerCamelCase_         =     artists[idx].lower()
													lowerCamelCase_         =     [genres[idx].lower()]
									else:
													lowerCamelCase_         =     self._normalize(artists[idx]					) + ".v2"
													lowerCamelCase_         =     [
													    self._normalize(lowercase					) + ".v2" for genre in genres[idx].split("_"					)
													]  # split is for the full dictionary with combined genres

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

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



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Tuple:
					lowerCamelCase_         =     unicodedata.normalize("NFD"		,    lowercase					)
					lowerCamelCase_         =     []
					for char in text:
									lowerCamelCase_         =     unicodedata.category(lowercase					)
									if cat == "Mn":
													continue
									output.append(lowercase					)
					return "".join(lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			str:
					lowerCamelCase_         =     (
					    [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					)]
					    + ["."]
					)
					lowerCamelCase_         =     frozenset(lowercase					)
					lowerCamelCase_         =     re.compile(R"_+"					)
					lowerCamelCase_         =     "".join([c if c in accepted else "_" for c in text.lower()]					)
					lowerCamelCase_         =     pattern.sub("_"		,    lowercase					).strip("_"					)
					return text



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			str:
					return " ".join(lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase = None		,    lowercase = False					)							->			Optional[int]:
					# Convert to TensorType
					if not isinstance(lowercase		,    lowercase					):
									lowerCamelCase_         =     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

									lowerCamelCase_         =     tf.constant
									lowerCamelCase_         =     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

									lowerCamelCase_         =     torch.tensor
									lowerCamelCase_         =     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

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

					# Do the tensor conversion in batch

					try:
									if prepend_batch_axis:
													lowerCamelCase_         =     [inputs]

									if not is_tensor(lowercase					):
													lowerCamelCase_         =     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		,    lowercase		,    lowercase		,    lowercase=""		,    lowercase="pt"					)							->			BatchEncoding:
					lowerCamelCase_         =     [0, 0, 0]
					lowerCamelCase_         =     [artist] * len(self.version					)
					lowerCamelCase_         =     [genres] * len(self.version					)

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

					lowerCamelCase_         =     [-INFINITY] * len(full_tokens[-1]					)
					lowerCamelCase_         =     [
					    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		,    lowercase		,    lowercase = None					)							->			Tuple[str]:
					if not os.path.isdir(lowercase					):
									logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
									return

					lowerCamelCase_         =     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					)					)

					lowerCamelCase_         =     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					)					)

					lowerCamelCase_         =     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		,    lowercase		,    lowercase		,    lowercase					)							->			Optional[Any]:
					lowerCamelCase_         =     self.artists_decoder.get(lowercase					)
					lowerCamelCase_         =     [self.genres_decoder.get(lowercase					) for genre in genres_index]
					lowerCamelCase_         =     [self.lyrics_decoder.get(lowercase					) for character in lyric_index]
					return artist, genres, lyrics




import math





def      lowerCamelCase_					(							lowerCamelCase__       ):

				if 1 < number < 4:
								# 2 and 3 are primes
								return True
				elif number < 2 or number % 2 == 0 or number % 3 == 0:
								# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
								return False

				# All primes number are in format of 6k +/- 1
				for i in range(5      ,					int(math.sqrt(lowerCamelCase__       ) + 1       )      ,					6       ):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True





def      lowerCamelCase_					(							lowerCamelCase__ = 1_0_0_0_1       ):

				try:
								lowerCamelCase_         =     int(lowerCamelCase__       )
				except (TypeError, ValueError):
								raise TypeError("Parameter nth must be int or castable to int."       ) from None
				if nth <= 0:
								raise ValueError("Parameter nth must be greater than or equal to one."       )
				lowerCamelCase_         =     []
				lowerCamelCase_         =     2
				while len(lowerCamelCase__       ) < nth:
								if is_prime(lowerCamelCase__       ):
												primes.append(lowerCamelCase__       )
												num += 1
								else:
												num += 1
				return primes[len(lowerCamelCase__       ) - 1]


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


