






"""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_				     =     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 					snake_case		(							_lowerCAmelCase						):


   '''simple docstring'''

   A_						:	List[str]						 = VOCAB_FILES_NAMES
   A_						:	Any						 = PRETRAINED_VOCAB_FILES_MAP
   A_						:	Union[str, Any]						 = PRETRAINED_LYRIC_TOKENS_SIZES
   A_						:	int						 = ["input_ids", "attention_mask"]


   def __init__(	self :     Optional[int],       _lowerCamelCase :     Optional[int],       _lowerCamelCase :     str,       _lowerCamelCase :     List[str],       _lowerCamelCase :     int=["v3", "v2", "v2"],       _lowerCamelCase :     Optional[int]=5_12,       _lowerCamelCase :     Tuple=5,       _lowerCamelCase :     Tuple="<|endoftext|>",       **_lowerCamelCase :     Union[str, Any],       ):

     '''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  ) == 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 				_SCREAMING_SNAKE_CASE				(	self :     Union[str, Any]  ):

     '''simple docstring'''
     return len(self.artists_encoder  ) + len(self.genres_encoder  ) + len(self.lyrics_encoder  )


   def 				_SCREAMING_SNAKE_CASE				(	self :     Any  ):

     '''simple docstring'''
     return dict(self.artists_encoder,       self.genres_encoder,       self.lyrics_encoder  )


   def 				_SCREAMING_SNAKE_CASE				(	self :     Any,       _lowerCamelCase :     Optional[int],       _lowerCamelCase :     Optional[int],       _lowerCamelCase :     Optional[int]  ):

     '''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 				_SCREAMING_SNAKE_CASE				(	self :     Optional[Any],       _lowerCamelCase :     Any  ):

     '''simple docstring'''
     return list(_lowerCamelCase  )


   def 				_SCREAMING_SNAKE_CASE				(	self :     Union[str, Any],       _lowerCamelCase :     List[str],       _lowerCamelCase :     Any,       _lowerCamelCase :     Optional[int],       **_lowerCamelCase :     Union[str, Any]  ):

     '''simple docstring'''
     __A			,    __A			,    __A									= self.prepare_for_tokenization(_lowerCamelCase,       _lowerCamelCase,       _lowerCamelCase  )
     __A									= self._tokenize(_lowerCamelCase  )
     return artist, genre, lyrics


   def 				_SCREAMING_SNAKE_CASE				(	self :     str,       _lowerCamelCase :     str,       _lowerCamelCase :     str,       _lowerCamelCase :     str,       _lowerCamelCase :     bool = False  ):

     '''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 				_SCREAMING_SNAKE_CASE				(	self :     str,       _lowerCamelCase :     Optional[Any]  ):

     '''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 				_SCREAMING_SNAKE_CASE				(	self :     Union[str, Any],       _lowerCamelCase :     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 				_SCREAMING_SNAKE_CASE				(	self :     Union[str, Any],       _lowerCamelCase :     List[str]  ):

     '''simple docstring'''
     return " ".join(_lowerCamelCase  )


   def 				_SCREAMING_SNAKE_CASE				(	self :     List[str],       _lowerCamelCase :     Optional[int],       _lowerCamelCase :     Optional[Union[str, TensorType]] = None,       _lowerCamelCase :     bool = False  ):

     '''simple docstring'''
     # 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 :     int,       _lowerCamelCase :     List[Any],       _lowerCamelCase :     Optional[Any],       _lowerCamelCase :     str="",       _lowerCamelCase :     Optional[Any]="pt"  ):

     '''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 				_SCREAMING_SNAKE_CASE				(	self :     Optional[Any],       _lowerCamelCase :     str,       _lowerCamelCase :     Optional[str] = None  ):

     '''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 				_SCREAMING_SNAKE_CASE				(	self :     Dict,       _lowerCamelCase :     List[Any],       _lowerCamelCase :     Optional[int],       _lowerCamelCase :     Tuple  ):

     '''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












"""simple docstring"""


class 					snake_case		:


   '''simple docstring'''

   def __init__(	self :     List[str],       _lowerCamelCase :     list[int]  ):

     '''simple docstring'''
     __A									= len(_lowerCamelCase  )
     __A									= [0] * len_array

     if len_array > 0:
       __A									= array[0]

     for i in range(1,       _lowerCamelCase  ):
       __A									= self.prefix_sum[i - 1] + array[i]


   def 				_SCREAMING_SNAKE_CASE				(	self :     List[Any],       _lowerCamelCase :     int,       _lowerCamelCase :     int  ):

     '''simple docstring'''
     if start == 0:
       return self.prefix_sum[end]

     return self.prefix_sum[end] - self.prefix_sum[start - 1]






   def 				_SCREAMING_SNAKE_CASE				(	self :     List[str],       _lowerCamelCase :     int  ):

     '''simple docstring'''
     __A									= {0}
     for sum_item in self.prefix_sum:
       if sum_item - target_sum in sums:
         return True

       sums.add(_lowerCamelCase  )

     return False


if __name__ == "__main__":
       import doctest

       doctest.testmod()




