



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		:				List[str]      		=logging.get_logger(__name__)

_lowercase		:				Union[str, Any]      		={
    "artists_file": "artists.json",
    "lyrics_file": "lyrics.json",
    "genres_file": "genres.json",
}

_lowercase		:				Tuple      		={
    "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		:				str      		={
    "jukebox": 512,
}

class        snake_case__    (A__		):







						"""simple docstring"""




						__lowerCAmelCase					:Optional[Any]      =					VOCAB_FILES_NAMES
						__lowerCAmelCase					:Union[str, Any]      =					PRETRAINED_VOCAB_FILES_MAP
						__lowerCAmelCase					:Tuple      =					PRETRAINED_LYRIC_TOKENS_SIZES
						__lowerCAmelCase					:Dict      =					["input_ids", "attention_mask"]

						def __init__(       self ,       __lowercase ,       __lowercase ,       __lowercase ,       __lowercase=["v3", "v2", "v2"] ,       __lowercase=5_1_2 ,       __lowercase=5 ,       __lowercase="<|endoftext|>" ,       **__lowercase ,       ) ->				Any:
									"""simple docstring"""




									a__       :						List[str]							=  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 ,       )
									a__       :						Optional[Any]							=  version
									a__       :						List[Any]							=  max_n_lyric_tokens
									a__       :						Union[str, Any]							=  n_genres

									with open(__lowercase ,       encoding="""utf-8"""  ) as vocab_handle:
												a__       :						Any							=  json.load(__lowercase  )

									with open(__lowercase ,       encoding="""utf-8"""  ) as vocab_handle:
												a__       :						str							=  json.load(__lowercase  )

									with open(__lowercase ,       encoding="""utf-8"""  ) as vocab_handle:
												a__       :						str							=  json.load(__lowercase  )

									a__       :						Optional[int]							=  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__       :						Optional[Any]							=  regex.compile(__lowercase  )
									a__       :						Any							=  {v: k for k, v in self.artists_encoder.items()}
									a__       :						List[str]							=  {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 							SCREAMING_SNAKE_CASE__(       self  ) ->				List[str]:
									"""simple docstring"""




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

						def 							SCREAMING_SNAKE_CASE__(       self  ) ->				List[Any]:
									"""simple docstring"""




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

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase ,       __lowercase  ) ->				List[str]:
									"""simple docstring"""




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

									a__       :						List[Any]							=  [[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  ) ->				Optional[Any]:
									"""simple docstring"""




									return list(__lowercase  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase ,       __lowercase ,       **__lowercase  ) ->				Dict:
									"""simple docstring"""




									a__	,						a__	,						a__       :						Optional[Any]							=  self.prepare_for_tokenization(__lowercase ,       __lowercase ,       __lowercase  )
									a__       :						Optional[Any]							=  self._tokenize(__lowercase  )
									return artist, genre, lyrics

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase ,       __lowercase ,       __lowercase = False  ) ->				Tuple[str, str, str, Dict[str, Any]]:
									"""simple docstring"""




									for idx in range(len(self.version  )  ):
												if self.version[idx] == "v3":
															a__       :						int							=  artists[idx].lower()
															a__       :						int							=  [genres[idx].lower()]
												else:
															a__       :						Optional[Any]							=  self._normalize(artists[idx]  ) + """.v2"""
															a__       :						Any							=  [
															    self._normalize(__lowercase  ) + """.v2""" for genre in genres[idx].split("""_"""  )
															]  # split is for the full dictionary with combined genres

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

									a__       :						Any							=  self._run_strip_accents(__lowercase  )
									a__       :						List[str]							=  lyrics.replace("""\\""" ,       """\n"""  )
									a__       :						List[Any]							=  self.out_of_vocab.sub("""""" ,       __lowercase  ), [], []
									return artists, genres, lyrics

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				str:
									"""simple docstring"""




									a__       :						Any							=  unicodedata.normalize("""NFD""" ,       __lowercase  )
									a__       :						Dict							=  []
									for char in text:
												a__       :						Union[str, Any]							=  unicodedata.category(__lowercase  )
												if cat == "Mn":
															continue
												output.append(__lowercase  )
									return "".join(__lowercase  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				str:
									"""simple docstring"""




									a__       :						Optional[int]							=  (
									    [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  )]
									    + ["""."""]
									)
									a__       :						int							=  frozenset(__lowercase  )
									a__       :						int							=  re.compile(r"""_+"""  )
									a__       :						Optional[int]							=  """""".join([c if c in accepted else """_""" for c in text.lower()]  )
									a__       :						List[Any]							=  pattern.sub("""_""" ,       __lowercase  ).strip("""_"""  )
									return text

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				str:
									"""simple docstring"""




									return " ".join(__lowercase  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase = None ,       __lowercase = False  ) ->				List[str]:
									"""simple docstring"""




									if not isinstance(__lowercase ,       __lowercase  ):
												a__       :						Union[str, Any]							=  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

												a__       :						List[str]							=  tf.constant
												a__       :						Tuple							=  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__       :						Any							=  torch.tensor
												a__       :						Union[str, 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__       :						List[str]							=  jnp.array
												a__       :						int							=  _is_jax
									else:
												a__       :						int							=  np.asarray
												a__       :						List[Any]							=  _is_numpy

									# Do the tensor conversion in batch

									try:
												if prepend_batch_axis:
															a__       :						List[Any]							=  [inputs]

												if not is_tensor(__lowercase  ):
															a__       :						Dict							=  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:
									"""simple docstring"""




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

									a__	,						a__	,						a__       :						Optional[Any]							=  self.tokenize(__lowercase ,       __lowercase ,       __lowercase  )
									a__	,						a__	,						a__       :						Tuple							=  self._convert_token_to_id(__lowercase ,       __lowercase ,       __lowercase  )

									a__       :						Dict							=  [-INFINITY] * len(full_tokens[-1]  )
									a__       :						int							=  [
									    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]:
									"""simple docstring"""




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

									a__       :						Dict							=  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  )  )

									a__       :						Tuple							=  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  )  )

									a__       :						int							=  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  ) ->				str:
									"""simple docstring"""




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









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


_lowercase		:				List[Any]      		={}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase		:				int      		=["BartphoTokenizer"]

if TYPE_CHECKING:
		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_bartpho import BartphoTokenizer

else:
		import sys

		_lowercase		:				Tuple      		=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




