

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				      =						logging.get_logger(__name__)

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

__lowercase				      =						{
    """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				      =						{
    """jukebox""": 512,
}

class    _lowercase				(					__lowerCamelCase			):
   _lowercase     :       Optional[Any]  					=    VOCAB_FILES_NAMES
   _lowercase     :       str  					=    PRETRAINED_VOCAB_FILES_MAP
   _lowercase     :       List[Any]  					=    PRETRAINED_LYRIC_TOKENS_SIZES
   _lowercase     :       Union[str, Any]  					=    ['input_ids', 'attention_mask']

   def __init__(				self	:    Union[str, Any]			,						lowerCamelCase__	:    Dict			,						lowerCamelCase__	:    int			,						lowerCamelCase__	:    List[str]			,						lowerCamelCase__	:    str=["v3", "v2", "v2"]			,						lowerCamelCase__	:    List[str]=5_1_2			,						lowerCamelCase__	:    Dict=5			,						lowerCamelCase__	:    Optional[int]="<|endoftext|>"			,						**lowerCamelCase__	:    int			,						) ->			List[str]:
         """simple docstring"""





         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       ) == 7_9:
               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     UpperCamelCase					(				self	:    Dict       ) ->			Dict:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    int       ) ->			Tuple:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    Optional[Any]			,						lowerCamelCase__	:    Tuple			,						lowerCamelCase__	:    Any			,						lowerCamelCase__	:    Any       ) ->			Any:
         """simple docstring"""





         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     UpperCamelCase					(				self	:    str			,						lowerCamelCase__	:    Tuple       ) ->			List[str]:
         """simple docstring"""





         return list(lowerCamelCase__       )

   def     UpperCamelCase					(				self	:    List[Any]			,						lowerCamelCase__	:    Any			,						lowerCamelCase__	:    Optional[Any]			,						lowerCamelCase__	:    int			,						**lowerCamelCase__	:    str       ) ->			Optional[Any]:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    int			,						lowerCamelCase__	:    str			,						lowerCamelCase__	:    str			,						lowerCamelCase__	:    str			,						lowerCamelCase__	:    bool = False       ) ->			Tuple[str, str, str, Dict[str, Any]]:
         """simple docstring"""





         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     UpperCamelCase					(				self	:    Tuple			,						lowerCamelCase__	:    Optional[Any]       ) ->			Tuple:
         """simple docstring"""





         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     UpperCamelCase					(				self	:    List[str]			,						lowerCamelCase__	:    str       ) ->			str:
         """simple docstring"""





         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     UpperCamelCase					(				self	:    Any			,						lowerCamelCase__	:    List[str]       ) ->			str:
         """simple docstring"""





         return " ".join(lowerCamelCase__       )

   def     UpperCamelCase					(				self	:    Dict			,						lowerCamelCase__	:    Union[str, Any]			,						lowerCamelCase__	:    Optional[Union[str, TensorType]] = None			,						lowerCamelCase__	:    bool = False       ) ->			List[Any]:
         """simple docstring"""





         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	:    Union[str, Any]			,						lowerCamelCase__	:    Dict			,						lowerCamelCase__	:    List[str]			,						lowerCamelCase__	:    Optional[Any]=""			,						lowerCamelCase__	:    str="pt"       ) ->			BatchEncoding:
         """simple docstring"""





         A_							       =		[0, 0, 0]
         A_							       =		[artist] * len(self.version       )
         A_							       =		[genres] * len(self.version       )

         A_       ,A_       ,A_							       =		self.tokenize(lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__       )
         A_       ,A_       ,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     UpperCamelCase					(				self	:    Any			,						lowerCamelCase__	:    str			,						lowerCamelCase__	:    Optional[str] = None       ) ->			Tuple[str]:
         """simple docstring"""





         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     UpperCamelCase					(				self	:    Dict			,						lowerCamelCase__	:    str			,						lowerCamelCase__	:    Optional[int]			,						lowerCamelCase__	:    Any       ) ->			Optional[Any]:
         """simple docstring"""





         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








def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







      if len(SCREAMING_SNAKE_CASE   ) < 2:
            return collection

      def circle_sort_util(SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ) -> bool:
            A_							       =		False

            if low == high:
                  return swapped

            A_							       =		low
            A_							       =		high

            while left < right:
                  if collection[left] > collection[right]:
                        A_       ,A_							       =		(
                            collection[right],
                            collection[left],
                        )
                        A_							       =		True

                  left += 1
                  right -= 1

            if left == right and collection[left] > collection[right + 1]:
                  A_       ,A_							       =		(
                      collection[right + 1],
                      collection[left],
                  )

                  A_							       =		True

            A_							       =		low + int((high - low) / 2   )
            A_							       =		circle_sort_util(SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   )
            A_							       =		circle_sort_util(SCREAMING_SNAKE_CASE		,				mid + 1		,				SCREAMING_SNAKE_CASE   )

            return swapped or left_swap or right_swap

      A_							       =		True

      while is_not_sorted is True:
            A_							       =		circle_sort_util(SCREAMING_SNAKE_CASE		,				0		,				len(SCREAMING_SNAKE_CASE   ) - 1   )

      return collection


if __name__ == "__main__":
      __lowercase				      =						input("""Enter numbers separated by a comma:\n""").strip()
      __lowercase				      =						[int(item) for item in user_input.split(""",""")]
      print(circle_sort(unsorted))





