'''simple docstring'''


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

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

__lowerCAmelCase	:       Any						       =	{
    "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 						A   (   UpperCAmelCase   ):
							a_        =      VOCAB_FILES_NAMES
							a_        =      PRETRAINED_VOCAB_FILES_MAP
							a_        =      PRETRAINED_LYRIC_TOKENS_SIZES
							a_        =      ['''input_ids''', '''attention_mask''']





							def __init__(      self				:							int     ,		__a				:							str     ,		__a				:							Optional[int]     ,		__a				:							Tuple     ,		__a				:							Union[str, Any]=["v3", "v2", "v2"]     ,		__a				:							List[Any]=5_1_2     ,		__a				:							Tuple=5     ,		__a				:							List[Any]="<|endoftext|>"     ,		**__a				:							Optional[Any]     ,		)							->	Any:
								__UpperCAmelCase							=			AddedToken(__a     ,		lstrip=__a     ,		rstrip=__a	) if isinstance(__a     ,		__a	) else unk_token
								super().__init__(
								    unk_token=__a     ,		n_genres=__a     ,		version=__a     ,		max_n_lyric_tokens=__a     ,		**__a     ,		)
								__UpperCAmelCase							=			version
								__UpperCAmelCase							=			max_n_lyric_tokens
								__UpperCAmelCase							=			n_genres

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

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

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

								__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	) == 7_9:
									__UpperCAmelCase							=			oov.replace(r'''\-\''''     ,		r'''\-+\''''	)

								__UpperCAmelCase							=			regex.compile(__a	)
								__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       snake_case__						(      self				:							Optional[int]	)							->	List[Any]:
								return len(self.artists_encoder	) + len(self.genres_encoder	) + len(self.lyrics_encoder	)





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





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

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





							def       snake_case__						(      self				:							List[str]     ,		__a				:							List[Any]	)							->	Optional[int]:
								return list(__a	)





							def       snake_case__						(      self				:							Union[str, Any]     ,		__a				:							Union[str, Any]     ,		__a				:							Any     ,		__a				:							str     ,		**__a				:							Optional[Any]	)							->	Dict:
								__UpperCAmelCase				,			__UpperCAmelCase				,			__UpperCAmelCase							=			self.prepare_for_tokenization(__a     ,		__a     ,		__a	)
								__UpperCAmelCase							=			self._tokenize(__a	)
								return artist, genre, lyrics





							def       snake_case__						(      self				:							int     ,		__a				:							str     ,		__a				:							str     ,		__a				:							str     ,		__a				:							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(__a	) + '''.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(__a	)	)}
									__UpperCAmelCase							=			0
									__UpperCAmelCase							=			len(__a	) + 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(__a	)
								__UpperCAmelCase							=			lyrics.replace('''\\'''     ,		'''\n'''	)
								__UpperCAmelCase							=			self.out_of_vocab.sub(''''''     ,		__a	), [], []
								return artists, genres, lyrics





							def       snake_case__						(      self				:							Optional[int]     ,		__a				:							Tuple	)							->	Optional[int]:
								__UpperCAmelCase							=			unicodedata.normalize('''NFD'''     ,		__a	)
								__UpperCAmelCase							=			[]
								for char in text:
									__UpperCAmelCase							=			unicodedata.category(__a	)
									if cat == "Mn":
										continue
									output.append(__a	)
								return "".join(__a	)





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





							def       snake_case__						(      self				:							Union[str, Any]     ,		__a				:							List[str]	)							->	str:
								return " ".join(__a	)





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

								# 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(__a	):
										__UpperCAmelCase							=			as_tensor(__a	)
								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     ,		__a				:							Optional[int]     ,		__a				:							Union[str, Any]     ,		__a				:							int=""     ,		__a				:							Dict="pt"	)							->	BatchEncoding:
								__UpperCAmelCase							=			[0, 0, 0]
								__UpperCAmelCase							=			[artist] * len(self.version	)
								__UpperCAmelCase							=			[genres] * len(self.version	)

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

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





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

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

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

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

								return (artists_file, genres_file, lyrics_file)






							def       snake_case__						(      self				:							List[Any]     ,		__a				:							Dict     ,		__a				:							str     ,		__a				:							str	)							->	str:
								__UpperCAmelCase							=			self.artists_decoder.get(__a	)
								__UpperCAmelCase							=			[self.genres_decoder.get(__a	) for genre in genres_index]
								__UpperCAmelCase							=			[self.lyrics_decoder.get(__a	) for character in lyric_index]
								return artist, genres, lyrics

'''simple docstring'''


from ...configuration_utils import PretrainedConfig






class 						A   (   UpperCAmelCase   ):
							a_        =      '''bert-generation'''





							def __init__(      self				:							str     ,		__a				:							str=5_0_3_5_8     ,		__a				:							int=1_0_2_4     ,		__a				:							Optional[Any]=2_4     ,		__a				:							Any=1_6     ,		__a				:							int=4_0_9_6     ,		__a				:							Any="gelu"     ,		__a				:							Union[str, Any]=0.1     ,		__a				:							Any=0.1     ,		__a				:							Union[str, Any]=5_1_2     ,		__a				:							int=0.0_2     ,		__a				:							str=1e-12     ,		__a				:							List[str]=0     ,		__a				:							Optional[int]=2     ,		__a				:							Tuple=1     ,		__a				:							str="absolute"     ,		__a				:							Optional[Any]=True     ,		**__a				:							Tuple     ,		)							->	Any:
								super().__init__(pad_token_id=__a     ,		bos_token_id=__a     ,		eos_token_id=__a     ,		**__a	)

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