

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': 5_1_2,
}





class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE							):
  _a		    =						VOCAB_FILES_NAMES
  _a		    =						PRETRAINED_VOCAB_FILES_MAP
  _a		    =						PRETRAINED_LYRIC_TOKENS_SIZES
  _a		    =						["""input_ids""", """attention_mask"""]




  def __init__(       self							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase=["v3", "v2", "v2"]							,     lowerCAmelCase=512							,     lowerCAmelCase=5							,     lowerCAmelCase="<|endoftext|>"							,     **lowerCAmelCase							,     )						->				Union[str, Any]:
        '''simple docstring'''






        _lowercase			 =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							,     )
        _lowercase			 =version
        _lowercase			 =max_n_lyric_tokens
        _lowercase			 =n_genres

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

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

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

        _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      ) == 79:
              _lowercase			 =oov.replace(R'\-\''							,     R'\-+\''      )

        _lowercase			 =regex.compile(lowerCAmelCase      )
        _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      )						->				str:
        '''simple docstring'''






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




  def 						A__  (       self      )						->				Dict:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )						->				Tuple:
        '''simple docstring'''






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

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




  def 						A__  (       self							,     lowerCAmelCase      )						->				int:
        '''simple docstring'''






        return list(lowerCAmelCase      )




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     **lowerCAmelCase      )						->				List[Any]:
        '''simple docstring'''






        _lowercase , _lowercase , _lowercase			 =self.prepare_for_tokenization(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )
        _lowercase			 =self._tokenize(lowerCAmelCase      )
        return artist, genre, lyrics




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase = False      )						->				Tuple[str, str, str, Dict[str, Any]]:
        '''simple docstring'''






        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(lowerCAmelCase      ) + '.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(lowerCAmelCase      )      )}
              _lowercase			 =0
              _lowercase			 =len(lowerCAmelCase      ) + 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(lowerCAmelCase      )
        _lowercase			 =lyrics.replace('\\'							,     '\n'      )
        _lowercase			 =self.out_of_vocab.sub(''							,     lowerCAmelCase      ), [], []
        return artists, genres, lyrics




  def 						A__  (       self							,     lowerCAmelCase      )						->				Optional[int]:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase      )						->				str:
        '''simple docstring'''






        _lowercase			 =(
            [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      )]
            + ['.']
        )
        _lowercase			 =frozenset(lowerCAmelCase      )
        _lowercase			 =re.compile(R'_+'      )
        _lowercase			 =''.join([c if c in accepted else '_' for c in text.lower()]      )
        _lowercase			 =pattern.sub('_'							,     lowerCAmelCase      ).strip('_'      )
        return text




  def 						A__  (       self							,     lowerCAmelCase      )						->				str:
        '''simple docstring'''






        return " ".join(lowerCAmelCase      )




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase = None							,     lowerCAmelCase = False      )						->				Union[str, Any]:
        '''simple docstring'''






        if not isinstance(lowerCAmelCase							,     lowerCAmelCase      ):
              _lowercase			 =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

              _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(lowerCAmelCase      ):
                    _lowercase			 =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							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase=""							,     lowerCAmelCase="pt"      )						->				BatchEncoding:
        '''simple docstring'''






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

        _lowercase , _lowercase , _lowercase			 =self.tokenize(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )
        _lowercase , _lowercase , _lowercase			 =self._convert_token_to_id(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )

        _lowercase			 =[-INFINITY] * len(full_tokens[-1]      )
        _lowercase			 =[
            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							,     lowerCAmelCase							,     lowerCAmelCase = None      )						->				Tuple[str]:
        '''simple docstring'''






        if not os.path.isdir(lowerCAmelCase      ):
              logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
              return

        _lowercase			 =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      )      )

        _lowercase			 =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      )      )

        _lowercase			 =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							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )						->				Tuple:
        '''simple docstring'''






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





def   a   (    A__			:     Optional[int]  )					->   Tuple:





      """simple docstring"""



      _lowercase			 =[0] * len(A__  )
      _lowercase			 =[]
      _lowercase			 =[]
      _lowercase			 =0

      for values in graph.values():
            for i in values:
                  indegree[i] += 1

      for i in range(len(A__  )  ):
            if indegree[i] == 0:
                  queue.append(A__  )

      while queue:
            _lowercase			 =queue.pop(0  )
            cnt += 1
            topo.append(A__  )
            for x in graph[vertex]:
                  indegree[x] -= 1
                  if indegree[x] == 0:
                        queue.append(A__  )

      if cnt != len(A__  ):
            print('Cycle exists'  )
      else:
            print(A__  )


# Adjacency List of Graph
lowercase_             =     {0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}







topological_sort(graph)


