


"""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


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

UpperCamelCase    :					Optional[Any]							   =   {
    '''artists_file''': '''artists.json''',
    '''lyrics_file''': '''lyrics.json''',
    '''genres_file''': '''genres.json''',
}

UpperCamelCase    :					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''',
    },
}

UpperCamelCase    :					str							   =   {
    '''jukebox''': 512,
}



class       lowerCamelCase__    ( a__      ):
						lowerCAmelCase  	=  VOCAB_FILES_NAMES
						lowerCAmelCase  	=  PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase  	=  PRETRAINED_LYRIC_TOKENS_SIZES
						lowerCAmelCase  	=  ["""input_ids""", """attention_mask"""]







						def __init__(				self :     List[str]      ,      _lowercase :     Optional[int]      ,      _lowercase :     str      ,      _lowercase :     Dict      ,      _lowercase :     int=["v3", "v2", "v2"]      ,      _lowercase :     List[Any]=512      ,      _lowercase :     Any=5      ,      _lowercase :     Dict="<|endoftext|>"      ,      **_lowercase :     List[str]      ,      ):
								A       							=			AddedToken(lowerCAmelCase__      ,      lstrip=lowerCAmelCase__      ,      rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__      ,      lowerCAmelCase__		) else unk_token
								super().__init__(
								    unk_token=lowerCAmelCase__      ,      n_genres=lowerCAmelCase__      ,      version=lowerCAmelCase__      ,      max_n_lyric_tokens=lowerCAmelCase__      ,      **lowerCAmelCase__      ,      )
								A       							=			version
								A       							=			max_n_lyric_tokens
								A       							=			n_genres

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

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

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

								A       							=			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:
										A       							=			oov.replace(R'\-\''      ,      R'\-+\''		)

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







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







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







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

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







						def __a    (				self :     List[Any]      ,      _lowercase :     Any		):
								return list(lowerCAmelCase__		)







						def __a    (				self :     str      ,      _lowercase :     Tuple      ,      _lowercase :     str      ,      _lowercase :     str      ,      **_lowercase :     List[Any]		):
								A       							=			self.prepare_for_tokenization(lowerCAmelCase__      ,      lowerCAmelCase__      ,      lowerCAmelCase__		)
								A       							=			self._tokenize(lowerCAmelCase__		)
								return artist, genre, lyrics







						def __a    (				self :     Any      ,      _lowercase :     Optional[int]      ,      _lowercase :     List[Any]      ,      _lowercase :     Tuple      ,      _lowercase :     Union[str, Any] = False		):
								for idx in range(len(self.version		)		):
										if self.version[idx] == "v3":
												A       							=			artists[idx].lower()
												A       							=			[genres[idx].lower()]
										else:
												A       							=			self._normalize(artists[idx]		) + ".v2"
												A       							=			[
												    self._normalize(lowerCAmelCase__		) + ".v2" for genre in genres[idx].split('_'		)
												]  # split is for the full dictionary with combined genres

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

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







						def __a    (				self :     Tuple      ,      _lowercase :     Optional[Any]		):
								A       							=			unicodedata.normalize('NFD'      ,      lowerCAmelCase__		)
								A       							=			[]
								for char in text:
										A       							=			unicodedata.category(lowerCAmelCase__		)
										if cat == "Mn":
												continue
										output.append(lowerCAmelCase__		)
								return "".join(lowerCAmelCase__		)







						def __a    (				self :     Union[str, Any]      ,      _lowercase :     Any		):
								A       							=			(
								    [chr(lowerCAmelCase__		) for i in range(ord('a'		)      ,      ord('z'		) + 1		)]
								    + [chr(lowerCAmelCase__		) for i in range(ord('A'		)      ,      ord('Z'		) + 1		)]
								    + [chr(lowerCAmelCase__		) for i in range(ord('0'		)      ,      ord('9'		) + 1		)]
								    + ["."]
								)
								A       							=			frozenset(lowerCAmelCase__		)
								A       							=			re.compile(R'_+'		)
								A       							=			"".join([c if c in accepted else '_' for c in text.lower()]		)
								A       							=			pattern.sub('_'      ,      lowerCAmelCase__		).strip('_'		)
								return text







						def __a    (				self :     int      ,      _lowercase :     List[Any]		):
								return " ".join(lowerCAmelCase__		)







						def __a    (				self :     Any      ,      _lowercase :     Tuple      ,      _lowercase :     Any = None      ,      _lowercase :     List[Any] = False		):
								# Convert to TensorType
								if not isinstance(lowerCAmelCase__      ,      lowerCAmelCase__		):
										A       							=			TensorType(lowerCAmelCase__		)

								# 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       							=			tf.constant
										A       							=			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       							=			torch.tensor
										A       							=			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       							=			jnp.array
										A       							=			_is_jax
								else:
										A       							=			np.asarray
										A       							=			_is_numpy

								# Do the tensor conversion in batch

								try:
										if prepend_batch_axis:
												A       							=			[inputs]

										if not is_tensor(lowerCAmelCase__		):
												A       							=			as_tensor(lowerCAmelCase__		)
								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 :     List[Any]      ,      _lowercase :     int      ,      _lowercase :     Dict      ,      _lowercase :     Any=""      ,      _lowercase :     Dict="pt"		):
								A       							=			[0, 0, 0]
								A       							=			[artist] * len(self.version		)
								A       							=			[genres] * len(self.version		)

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

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







						def __a    (				self :     Tuple      ,      _lowercase :     List[Any]      ,      _lowercase :     Tuple = None		):
								if not os.path.isdir(lowerCAmelCase__		):
										logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
										return

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

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

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

								return (artists_file, genres_file, lyrics_file)







						def __a    (				self :     Optional[int]      ,      _lowercase :     Tuple      ,      _lowercase :     Any      ,      _lowercase :     str		):
								A       							=			self.artists_decoder.get(lowerCAmelCase__		)
								A       							=			[self.genres_decoder.get(lowerCAmelCase__		) for genre in genres_index]
								A       							=			[self.lyrics_decoder.get(lowerCAmelCase__		) for character in lyric_index]
								return artist, genres, lyrics












"""simple docstring"""




def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       Tuple   )					->Optional[Any]:






	'''simple docstring'''






	a :						Any      =							[]
	a :						List[str]      =							set({"(", "[", "{"}   )
	a :						int      =							set({")", "]", "}"}   )
	a :						int      =							{"{": "}", "[": "]", "(": ")"}

	for i in range(len(_lowercase   )   ):
		if s[i] in open_brackets:
			stack.append(s[i]   )

		elif s[i] in closed_brackets and (
		    len(_lowercase   ) == 0 or (len(_lowercase   ) > 0 and open_to_closed[stack.pop()] != s[i])
		):
			return False

	return len(_lowercase   ) == 0






def  _SCREAMING_SNAKE_CASE						(      )					->Tuple:






	'''simple docstring'''






	a :						Any      =							input("Enter sequence of brackets: "   )
	if is_balanced(_lowercase   ):
		print(_lowercase       ,			"is balanced"   )
	else:
		print(_lowercase       ,			"is not balanced"   )


if __name__ == "__main__":
		main()


