



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''': 512,
}






class 		lowercase						(			snake_case__):






	"""simple docstring"""


	a__				: int		       =							VOCAB_FILES_NAMES
	a__				: Dict		       =							PRETRAINED_VOCAB_FILES_MAP
	a__				: Any		       =							PRETRAINED_LYRIC_TOKENS_SIZES
	a__				: Dict		       =							["input_ids", "attention_mask"]




	def __init__(     self     :						Dict						,  __UpperCAmelCase     :						Any						,  __UpperCAmelCase     :						Dict						,  __UpperCAmelCase     :						Any						,  __UpperCAmelCase     :						Tuple=["v3", "v2", "v2"]						,  __UpperCAmelCase     :						Optional[int]=512						,  __UpperCAmelCase     :						int=5						,  __UpperCAmelCase     :						str="<|endoftext|>"						,  **__UpperCAmelCase     :						List[Any]						,  )      ->			str:
							UpperCAmelCase_=       AddedToken(__UpperCAmelCase						,  lstrip=__UpperCAmelCase						,  rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase						,  __UpperCAmelCase					) else unk_token
							super().__init__(
							    unk_token=__UpperCAmelCase						,  n_genres=__UpperCAmelCase						,  version=__UpperCAmelCase						,  max_n_lyric_tokens=__UpperCAmelCase						,  **__UpperCAmelCase						,  )
							UpperCAmelCase_=       version
							UpperCAmelCase_=       max_n_lyric_tokens
							UpperCAmelCase_=       n_genres

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

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

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

							UpperCAmelCase_=       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_=       oov.replace(r"""\-'"""						,  r"""\-+'"""					)

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




	@property
	def   _SCREAMING_SNAKE_CASE		(     self     :						Union[str, Any]					)      ->			List[Any]:
							return len(self.artists_encoder					) + len(self.genres_encoder					) + len(self.lyrics_encoder					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Optional[Any]					)      ->			str:
							return dict(self.artists_encoder						,  self.genres_encoder						,  self.lyrics_encoder					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						str						,  __UpperCAmelCase     :						int						,  __UpperCAmelCase     :						Any						,  __UpperCAmelCase     :						List[str]					)      ->			Tuple:
							UpperCAmelCase_=       [self.artists_encoder.get(__UpperCAmelCase						,  0					) for artist in list_artists]
							for genres in range(len(__UpperCAmelCase					)					):
													UpperCAmelCase_=       [self.genres_encoder.get(__UpperCAmelCase						,  0					) for genre in list_genres[genres]]
													UpperCAmelCase_=       list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]					))

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




	def   _SCREAMING_SNAKE_CASE		(     self     :						Optional[int]						,  __UpperCAmelCase     :						Tuple					)      ->			Optional[Any]:
							return list(__UpperCAmelCase					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						List[Any]						,  __UpperCAmelCase     :						Any						,  __UpperCAmelCase     :						Optional[Any]						,  __UpperCAmelCase     :						Optional[Any]						,  **__UpperCAmelCase     :						Tuple					)      ->			Union[str, Any]:
							UpperCAmelCase_,       UpperCAmelCase_,       UpperCAmelCase_=       self.prepare_for_tokenization(__UpperCAmelCase						,  __UpperCAmelCase						,  __UpperCAmelCase					)
							UpperCAmelCase_=       self._tokenize(__UpperCAmelCase					)
							return artist, genre, lyrics




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

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

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




	def   _SCREAMING_SNAKE_CASE		(     self     :						List[Any]						,  __UpperCAmelCase     :						Optional[int]					)      ->			Dict:
							UpperCAmelCase_=       unicodedata.normalize("""NFD"""						,  __UpperCAmelCase					)
							UpperCAmelCase_=       []
							for char in text:
													UpperCAmelCase_=       unicodedata.category(__UpperCAmelCase					)
													if cat == "Mn":
																			continue
													output.append(__UpperCAmelCase					)
							return "".join(__UpperCAmelCase					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Optional[int]						,  __UpperCAmelCase     :						str					)      ->			str:
							UpperCAmelCase_=       (
							    [chr(__UpperCAmelCase					) for i in range(ord("""a"""					)						,  ord("""z"""					) + 1					)]
							    + [chr(__UpperCAmelCase					) for i in range(ord("""A"""					)						,  ord("""Z"""					) + 1					)]
							    + [chr(__UpperCAmelCase					) for i in range(ord("""0"""					)						,  ord("""9"""					) + 1					)]
							    + ["""."""]
							)
							UpperCAmelCase_=       frozenset(__UpperCAmelCase					)
							UpperCAmelCase_=       re.compile(r"""_+"""					)
							UpperCAmelCase_=       """""".join([c if c in accepted else """_""" for c in text.lower()]					)
							UpperCAmelCase_=       pattern.sub("""_"""						,  __UpperCAmelCase					).strip("""_"""					)
							return text




	def   _SCREAMING_SNAKE_CASE		(     self     :						Tuple						,  __UpperCAmelCase     :						List[str]					)      ->			str:
							return " ".join(__UpperCAmelCase					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						List[Any]						,  __UpperCAmelCase     :						Optional[Any]						,  __UpperCAmelCase     :						Optional[Union[str, TensorType]] = None						,  __UpperCAmelCase     :						bool = False					)      ->			List[str]:
							# Convert to TensorType
							if not isinstance(__UpperCAmelCase						,  __UpperCAmelCase					):
													UpperCAmelCase_=       TensorType(__UpperCAmelCase					)

							# 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_=       tf.constant
													UpperCAmelCase_=       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_=       torch.tensor
													UpperCAmelCase_=       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_=       jnp.array
													UpperCAmelCase_=       _is_jax
							else:
													UpperCAmelCase_=       np.asarray
													UpperCAmelCase_=       _is_numpy

							# Do the tensor conversion in batch

							try:
													if prepend_batch_axis:
																			UpperCAmelCase_=       [inputs]

													if not is_tensor(__UpperCAmelCase					):
																			UpperCAmelCase_=       as_tensor(__UpperCAmelCase					)
							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]						,  __UpperCAmelCase     :						Optional[Any]						,  __UpperCAmelCase     :						Tuple						,  __UpperCAmelCase     :						Dict=""						,  __UpperCAmelCase     :						Union[str, Any]="pt"					)      ->			BatchEncoding:
							UpperCAmelCase_=       [0, 0, 0]
							UpperCAmelCase_=       [artist] * len(self.version					)
							UpperCAmelCase_=       [genres] * len(self.version					)

							UpperCAmelCase_,       UpperCAmelCase_,       UpperCAmelCase_=       self.tokenize(__UpperCAmelCase						,  __UpperCAmelCase						,  __UpperCAmelCase					)
							UpperCAmelCase_,       UpperCAmelCase_,       UpperCAmelCase_=       self._convert_token_to_id(__UpperCAmelCase						,  __UpperCAmelCase						,  __UpperCAmelCase					)

							UpperCAmelCase_=       [-INFINITY] * len(full_tokens[-1]					)
							UpperCAmelCase_=       [
							    self.convert_to_tensors(
							        [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]						,  tensor_type=__UpperCAmelCase					)
							    for i in range(len(self.version					)					)
							]
							return BatchEncoding({"""input_ids""": input_ids, """attention_masks""": attention_masks}					)




	def   _SCREAMING_SNAKE_CASE		(     self     :						Optional[int]						,  __UpperCAmelCase     :						str						,  __UpperCAmelCase     :						Optional[str] = None					)      ->			Tuple[str]:
							if not os.path.isdir(__UpperCAmelCase					):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""					)
													return

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

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

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

							return (artists_file, genres_file, lyrics_file)




	def   _SCREAMING_SNAKE_CASE		(     self     :						List[Any]						,  __UpperCAmelCase     :						Tuple						,  __UpperCAmelCase     :						Tuple						,  __UpperCAmelCase     :						Union[str, Any]					)      ->			int:
							UpperCAmelCase_=       self.artists_decoder.get(__UpperCAmelCase					)
							UpperCAmelCase_=       [self.genres_decoder.get(__UpperCAmelCase					) for genre in genres_index]
							UpperCAmelCase_=       [self.lyrics_decoder.get(__UpperCAmelCase					) for character in lyric_index]
							return artist, genres, lyrics









import pytest

import datasets


# Import fixture modules as plugins
__A       =						['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']



def 	__a					(   lowerCAmelCase_       : Optional[Any]      ,lowerCAmelCase_       : Any    )				->			Tuple:






						'''simple docstring'''



						for item in items:
												if any(marker in item.keywords for marker in ["""integration""", """unit"""]    ):
																		continue
												item.add_marker(pytest.mark.unit    )



def 	__a					(   lowerCAmelCase_       : Tuple    )				->			Optional[Any]:






						'''simple docstring'''



						config.addinivalue_line("""markers"""      ,"""torchaudio_latest: mark test to run with torchaudio>=0.12"""    )



@pytest.fixture(autouse=lowerCAmelCase_    )
def 	__a					(   lowerCAmelCase_       : List[str]      ,lowerCAmelCase_       : List[str]    )				->			int:






						'''simple docstring'''



						UpperCAmelCase_=       tmp_path_factory.getbasetemp() / """cache"""
						UpperCAmelCase_=       test_hf_cache_home / """datasets"""
						UpperCAmelCase_=       test_hf_cache_home / """metrics"""
						UpperCAmelCase_=       test_hf_cache_home / """modules"""
						monkeypatch.setattr("""datasets.config.HF_DATASETS_CACHE"""      ,str(lowerCAmelCase_    )    )
						monkeypatch.setattr("""datasets.config.HF_METRICS_CACHE"""      ,str(lowerCAmelCase_    )    )
						monkeypatch.setattr("""datasets.config.HF_MODULES_CACHE"""      ,str(lowerCAmelCase_    )    )
						UpperCAmelCase_=       test_hf_datasets_cache / """downloads"""
						monkeypatch.setattr("""datasets.config.DOWNLOADED_DATASETS_PATH"""      ,str(lowerCAmelCase_    )    )
						UpperCAmelCase_=       test_hf_datasets_cache / """downloads""" / """extracted"""
						monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""      ,str(lowerCAmelCase_    )    )



@pytest.fixture(autouse=lowerCAmelCase_      ,scope="""session"""    )
def 	__a					(   )				->			Optional[int]:






						'''simple docstring'''



						datasets.disable_progress_bar()



@pytest.fixture(autouse=lowerCAmelCase_    )
def 	__a					(   lowerCAmelCase_       : int    )				->			str:






						'''simple docstring'''



						monkeypatch.setattr("""datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"""      ,lowerCAmelCase_    )



@pytest.fixture
def 	__a					(   lowerCAmelCase_       : List[str]    )				->			Union[str, Any]:






						'''simple docstring'''



						monkeypatch.setattr("""sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"""      ,lowerCAmelCase_    )




