






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			:		Optional[int]   				=    logging.get_logger(__name__)

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

_UpperCAmelCase			:		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",
    },
}

_UpperCAmelCase			:		Optional[int]   				=    {
    "jukebox": 512,
}
class  lowerCAmelCase_       (				snake_case__					):
							UpperCamelCase_		:Tuple		      =    VOCAB_FILES_NAMES
							UpperCamelCase_		:Union[str, Any]		      =    PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase_		:Tuple		      =    PRETRAINED_LYRIC_TOKENS_SIZES
							UpperCamelCase_		:Dict		      =    ['input_ids', 'attention_mask']




							def __init__(   self     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   int ,							SCREAMING_SNAKE_CASE_     :   List[str] ,							SCREAMING_SNAKE_CASE_     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   Optional[int]=["v3", "v2", "v2"] ,							SCREAMING_SNAKE_CASE_     :   Tuple=512 ,							SCREAMING_SNAKE_CASE_     :   Tuple=5 ,							SCREAMING_SNAKE_CASE_     :   Any="<|endoftext|>" ,							**SCREAMING_SNAKE_CASE_     :   Union[str, Any] ,							):
											lowerCAmelCase__      			=						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__ ,							)
											lowerCAmelCase__      			=						version
											lowerCAmelCase__      			=						max_n_lyric_tokens
											lowerCAmelCase__      			=						n_genres

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

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

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

											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(UpperCAmelCase__	)
											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 						__snake_case					(   self     :   List[Any]	):
											return len(self.artists_encoder	) + len(self.genres_encoder	) + len(self.lyrics_encoder	)




							def 						__snake_case					(   self     :   str	):
											return dict(self.artists_encoder ,							self.genres_encoder ,							self.lyrics_encoder	)




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

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




							def 						__snake_case					(   self     :   Dict ,							SCREAMING_SNAKE_CASE_     :   List[str]	):
											return list(UpperCAmelCase__	)




							def 						__snake_case					(   self     :   int ,							SCREAMING_SNAKE_CASE_     :   Any ,							SCREAMING_SNAKE_CASE_     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   Optional[int] ,							**SCREAMING_SNAKE_CASE_     :   str	):
											lowerCAmelCase__			,		lowerCAmelCase__			,		lowerCAmelCase__      			=						self.prepare_for_tokenization(UpperCAmelCase__ ,							UpperCAmelCase__ ,							UpperCAmelCase__	)
											lowerCAmelCase__      			=						self._tokenize(UpperCAmelCase__	)
											return artist, genre, lyrics




							def 						__snake_case					(   self     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   bool = False	):
											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(UpperCAmelCase__	) + '''.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(UpperCAmelCase__	)	)}
															lowerCAmelCase__      			=						0
															lowerCAmelCase__      			=						len(UpperCAmelCase__	) + 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(UpperCAmelCase__	)
											lowerCAmelCase__      			=						lyrics.replace('''\\''' ,							'''\n'''	)
											lowerCAmelCase__      			=						self.out_of_vocab.sub('''''' ,							UpperCAmelCase__	), [], []
											return artists, genres, lyrics




							def 						__snake_case					(   self     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   Optional[int]	):
											lowerCAmelCase__      			=						unicodedata.normalize('''NFD''' ,							UpperCAmelCase__	)
											lowerCAmelCase__      			=						[]
											for char in text:
															lowerCAmelCase__      			=						unicodedata.category(UpperCAmelCase__	)
															if cat == "Mn":
																			continue
															output.append(UpperCAmelCase__	)
											return "".join(UpperCAmelCase__	)




							def 						__snake_case					(   self     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   str	):
											lowerCAmelCase__      			=						(
											    [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	)]
											    + ['''.''']
											)
											lowerCAmelCase__      			=						frozenset(UpperCAmelCase__	)
											lowerCAmelCase__      			=						re.compile(R'''_+'''	)
											lowerCAmelCase__      			=						''''''.join([c if c in accepted else '''_''' for c in text.lower()]	)
											lowerCAmelCase__      			=						pattern.sub('''_''' ,							UpperCAmelCase__	).strip('''_'''	)
											return text




							def 						__snake_case					(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   List[str]	):
											return " ".join(UpperCAmelCase__	)




							def 						__snake_case					(   self     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[str, TensorType]] = None ,							SCREAMING_SNAKE_CASE_     :   bool = False	):
											# Convert to TensorType
											if not isinstance(UpperCAmelCase__ ,							UpperCAmelCase__	):
															lowerCAmelCase__      			=						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

															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(UpperCAmelCase__	):
																			lowerCAmelCase__      			=						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     :   int ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   int="" ,							SCREAMING_SNAKE_CASE_     :   int="pt"	):
											lowerCAmelCase__      			=						[0, 0, 0]
											lowerCAmelCase__      			=						[artist] * len(self.version	)
											lowerCAmelCase__      			=						[genres] * len(self.version	)

											lowerCAmelCase__			,		lowerCAmelCase__			,		lowerCAmelCase__      			=						self.tokenize(UpperCAmelCase__ ,							UpperCAmelCase__ ,							UpperCAmelCase__	)
											lowerCAmelCase__			,		lowerCAmelCase__			,		lowerCAmelCase__      			=						self._convert_token_to_id(UpperCAmelCase__ ,							UpperCAmelCase__ ,							UpperCAmelCase__	)

											lowerCAmelCase__      			=						[-INFINITY] * len(full_tokens[-1]	)
											lowerCAmelCase__      			=						[
											    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 						__snake_case					(   self     :   str ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   Optional[str] = None	):
											if not os.path.isdir(UpperCAmelCase__	):
															logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
															return

											lowerCAmelCase__      			=						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__	)	)

											lowerCAmelCase__      			=						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__	)	)

											lowerCAmelCase__      			=						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 						__snake_case					(   self     :   int ,							SCREAMING_SNAKE_CASE_     :   int ,							SCREAMING_SNAKE_CASE_     :   Dict ,							SCREAMING_SNAKE_CASE_     :   str	):
											lowerCAmelCase__      			=						self.artists_decoder.get(UpperCAmelCase__	)
											lowerCAmelCase__      			=						[self.genres_decoder.get(UpperCAmelCase__	) for genre in genres_index]
											lowerCAmelCase__      			=						[self.lyrics_decoder.get(UpperCAmelCase__	) for character in lyric_index]
											return artist, genres, lyrics













from ...configuration_utils import PretrainedConfig
class  lowerCAmelCase_       (				snake_case__					):
							UpperCamelCase_		:List[str]		      =    'bert-generation'




							def __init__(   self     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   List[str]=50_358 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=1_024 ,							SCREAMING_SNAKE_CASE_     :   Optional[Any]=24 ,							SCREAMING_SNAKE_CASE_     :   Any=16 ,							SCREAMING_SNAKE_CASE_     :   Tuple=4_096 ,							SCREAMING_SNAKE_CASE_     :   str="gelu" ,							SCREAMING_SNAKE_CASE_     :   List[str]=0.1 ,							SCREAMING_SNAKE_CASE_     :   Tuple=0.1 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=512 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=0.02 ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=1e-12 ,							SCREAMING_SNAKE_CASE_     :   List[Any]=0 ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=2 ,							SCREAMING_SNAKE_CASE_     :   int=1 ,							SCREAMING_SNAKE_CASE_     :   str="absolute" ,							SCREAMING_SNAKE_CASE_     :   Tuple=True ,							**SCREAMING_SNAKE_CASE_     :   str ,							):
											super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_ ,							bos_token_id=SCREAMING_SNAKE_CASE_ ,							eos_token_id=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_	)

											lowerCAmelCase__      			=						vocab_size
											lowerCAmelCase__      			=						hidden_size
											lowerCAmelCase__      			=						num_hidden_layers
											lowerCAmelCase__      			=						num_attention_heads
											lowerCAmelCase__      			=						hidden_act
											lowerCAmelCase__      			=						intermediate_size
											lowerCAmelCase__      			=						hidden_dropout_prob
											lowerCAmelCase__      			=						attention_probs_dropout_prob
											lowerCAmelCase__      			=						max_position_embeddings
											lowerCAmelCase__      			=						initializer_range
											lowerCAmelCase__      			=						layer_norm_eps
											lowerCAmelCase__      			=						position_embedding_type
											lowerCAmelCase__      			=						use_cache





