
'''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


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

lowercase__	:Dict										=					{
    "artists_file": "artists.json",
    "lyrics_file": "lyrics.json",
    "genres_file": "genres.json",
}

lowercase__	:List[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",
    },
}

lowercase__	:Union[str, Any]										=					{
    "jukebox": 512,
}







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Union[str, Any]       =VOCAB_FILES_NAMES
							lowercase_ : Any       =PRETRAINED_VOCAB_FILES_MAP
							lowercase_ : Tuple       =PRETRAINED_LYRIC_TOKENS_SIZES
							lowercase_ : Tuple       =['''input_ids''', '''attention_mask''']




							def __init__(       self     ,A__     ,A__     ,A__     ,A__=["v3", "v2", "v2"]     ,A__=5_1_2     ,A__=5     ,A__="<|endoftext|>"     ,**A__     ,):
												lowercase					=		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__     ,)
												lowercase					=		version
												lowercase					=		max_n_lyric_tokens
												lowercase					=		n_genres

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

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

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

												lowercase					=		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:
																	lowercase					=		oov.replace(r'''\-\''''     ,r'''\-+\'''')

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




							@property
							def 				A__   (       self):
												return len(self.artists_encoder) + len(self.genres_encoder) + len(self.lyrics_encoder)




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




							def 				A__   (       self     ,A__     ,A__     ,A__):
												lowercase					=		[self.artists_encoder.get(A__     ,0) for artist in list_artists]
												for genres in range(len(A__)):
																	lowercase					=		[self.genres_encoder.get(A__     ,0) for genre in list_genres[genres]]
																	lowercase					=		list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]))

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




							def 				A__   (       self     ,A__):
												return list(A__)




							def 				A__   (       self     ,A__     ,A__     ,A__     ,**A__):
												lowercase			,		lowercase			,		lowercase					=		self.prepare_for_tokenization(A__     ,A__     ,A__)
												lowercase					=		self._tokenize(A__)
												return artist, genre, lyrics




							def 				A__   (       self     ,A__     ,A__     ,A__     ,A__ = False):
												for idx in range(len(self.version)):
																	if self.version[idx] == "v3":
																						lowercase					=		artists[idx].lower()
																						lowercase					=		[genres[idx].lower()]
																	else:
																						lowercase					=		self._normalize(artists[idx]) + '''.v2'''
																						lowercase					=		[
																						    self._normalize(A__) + '''.v2''' for genre in genres[idx].split('''_''')
																						]  # split is for the full dictionary with combined genres

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

												lowercase					=		self._run_strip_accents(A__)
												lowercase					=		lyrics.replace('''\\'''     ,'''\n''')
												lowercase					=		self.out_of_vocab.sub(''''''     ,A__), [], []
												return artists, genres, lyrics




							def 				A__   (       self     ,A__):
												lowercase					=		unicodedata.normalize('''NFD'''     ,A__)
												lowercase					=		[]
												for char in text:
																	lowercase					=		unicodedata.category(A__)
																	if cat == "Mn":
																						continue
																	output.append(A__)
												return "".join(A__)




							def 				A__   (       self     ,A__):
												lowercase					=		(
												    [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)]
												    + ['''.''']
												)
												lowercase					=		frozenset(A__)
												lowercase					=		re.compile(r'''_+''')
												lowercase					=		''''''.join([c if c in accepted else '''_''' for c in text.lower()])
												lowercase					=		pattern.sub('''_'''     ,A__).strip('''_''')
												return text




							def 				A__   (       self     ,A__):
												return " ".join(A__)




							def 				A__   (       self     ,A__     ,A__ = None     ,A__ = False):
												# Convert to TensorType
												if not isinstance(A__     ,A__):
																	lowercase					=		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

																	lowercase					=		tf.constant
																	lowercase					=		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

																	lowercase					=		torch.tensor
																	lowercase					=		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

																	lowercase					=		jnp.array
																	lowercase					=		_is_jax
												else:
																	lowercase					=		np.asarray
																	lowercase					=		_is_numpy

												# Do the tensor conversion in batch

												try:
																	if prepend_batch_axis:
																						lowercase					=		[inputs]

																	if not is_tensor(A__):
																						lowercase					=		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"):
												lowercase					=		[0, 0, 0]
												lowercase					=		[artist] * len(self.version)
												lowercase					=		[genres] * len(self.version)

												lowercase			,		lowercase			,		lowercase					=		self.tokenize(A__     ,A__     ,A__)
												lowercase			,		lowercase			,		lowercase					=		self._convert_token_to_id(A__     ,A__     ,A__)

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

												lowercase					=		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__))

												lowercase					=		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__))

												lowercase					=		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 				A__   (       self     ,A__     ,A__     ,A__):
												lowercase					=		self.artists_decoder.get(A__)
												lowercase					=		[self.genres_decoder.get(A__) for genre in genres_index]
												lowercase					=		[self.lyrics_decoder.get(A__) for character in lyric_index]
												return artist, genres, lyrics






class        lowercase	:




							def __init__(       self     ,A__):
												lowercase					=		val
												lowercase					=		None
												lowercase					=		None





							def 				A__   (       self     ,A__):
												if self.val:
																	if val < self.val:
																						if self.left is None:
																											lowercase					=		Node(A__)
																						else:
																											self.left.insert(A__)
																	elif val > self.val:
																						if self.right is None:
																											lowercase					=		Node(A__)
																						else:
																											self.right.insert(A__)
												else:
																	lowercase					=		val



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					# Recursive traversal
					if root:
										inorder(root.left				,    lowerCAmelCase__	)
										res.append(root.val	)
										inorder(root.right				,    lowerCAmelCase__	)



def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					# Build BST
					if len(lowerCAmelCase__	) == 0:
										return arr
					lowercase					=		Node(arr[0]	)
					for i in range(1				,    len(lowerCAmelCase__	)	):
										root.insert(arr[i]	)
					# Traverse BST in order.
					lowercase					=		[]
					inorder(lowerCAmelCase__				,    lowerCAmelCase__	)
					return res


if __name__ == "__main__":
							print(tree_sort([10, 1, 3, 2, 9, 14, 13]))




