
'''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					:    Dict           = logging.get_logger(__name__)

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

lowerCAmelCase					:    Optional[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					:    Optional[int]           = {
    'jukebox': 5_12,
}


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						,				A_						,				A_						,				A_						,				A_=["v3", "v2", "v2"]						,				A_=512						,				A_=5						,				A_="<|endoftext|>"						,				**A_						,				)->		str:







											'''simple docstring'''






											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     ) == 79:
																		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 						UpperCAmelCase_    (       self     )->		str:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self     )->		Dict:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_						,				A_						,				A_     )->		Dict:







											'''simple docstring'''






											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 						UpperCAmelCase_    (       self						,				A_     )->		Optional[Any]:







											'''simple docstring'''






											return list(A_     )







				def 						UpperCAmelCase_    (       self						,				A_						,				A_						,				A_						,				**A_     )->		Optional[Any]:







											'''simple docstring'''






											UpperCamelCase			,	UpperCamelCase			,	UpperCamelCase   			=     self.prepare_for_tokenization(A_						,				A_						,				A_     )
											UpperCamelCase   			=     self._tokenize(A_     )
											return artist, genre, lyrics







				def 						UpperCAmelCase_    (       self						,				A_						,				A_						,				A_						,				A_ = False     )->		Tuple[str, str, str, Dict[str, Any]]:







											'''simple docstring'''






											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 						UpperCAmelCase_    (       self						,				A_     )->		str:







											'''simple docstring'''






											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 						UpperCAmelCase_    (       self						,				A_     )->		str:







											'''simple docstring'''






											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 						UpperCAmelCase_    (       self						,				A_     )->		str:







											'''simple docstring'''






											return " ".join(A_     )







				def 						UpperCAmelCase_    (       self						,				A_						,				A_ = None						,				A_ = False     )->		Any:







											'''simple docstring'''






											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						,				A_						,				A_						,				A_=""						,				A_="pt"     )->		BatchEncoding:







											'''simple docstring'''






											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 						UpperCAmelCase_    (       self						,				A_						,				A_ = None     )->		Tuple[str]:







											'''simple docstring'''






											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 						UpperCAmelCase_    (       self						,				A_						,				A_						,				A_     )->		str:







											'''simple docstring'''






											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'''
def 		A_(     A						:		list[int]):
							UpperCamelCase   			=     []
							if len(A) == 1:
														return [nums.copy()]
							for _ in range(len(A)):
														UpperCamelCase   			=     nums.pop(0)
														UpperCamelCase   			=     permute(A)
														for perm in permutations:
																					perm.append(A)
														result.extend(A)
														nums.append(A)
							return result







def 		A_(     A						:		str):

							def backtrack(A						:		str):
														if start == len(A) - 1:
																					output.append(nums[:])
														else:
																					for i in range(A		,     len(A)):
																												UpperCamelCase			,	UpperCamelCase   			=     nums[i], nums[start]
																												backtrack(start + 1)
																												UpperCamelCase			,	UpperCamelCase   			=     nums[i], nums[start]  # backtrack

							UpperCamelCase   			=     []
							backtrack(0)
							return output


if __name__ == "__main__":
						import doctest

						# use res to print the data in permute2 function
						lowerCAmelCase					:    Dict           = permutea([1, 2, 3])
						print(res)
						doctest.testmod()




