
"""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


A__   :					Tuple							=   logging.get_logger(__name__)

A__   :					Any							=   {
    'artists_file': 'artists.json',
    'lyrics_file': 'lyrics.json',
    'genres_file': 'genres.json',
}

A__   :					List[str]							=   {
    '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',
    },
}

A__   :					Union[str, Any]							=   {
    'jukebox': 5_1_2,
}


class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       UpperCamelCase_   =		VOCAB_FILES_NAMES
       UpperCamelCase_   =		PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase_   =		PRETRAINED_LYRIC_TOKENS_SIZES
       UpperCamelCase_   =		['''input_ids''', '''attention_mask''']
       def __init__(     self ,				A_ ,				A_ ,				A_ ,				A_=["v3", "v2", "v2"] ,				A_=512 ,				A_=5 ,				A_="<|endoftext|>" ,				**A_ ,				)     ->	Any:





         """simple docstring"""




         _lowercase:			int       =     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:			Any       =     version
         _lowercase:			Optional[int]       =     max_n_lyric_tokens
         _lowercase:			Optional[int]       =     n_genres

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

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

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

         _lowercase:			Tuple       =     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:			Optional[int]       =     oov.replace(R'''\-\'''' ,				R'''\-+\''''       )

         _lowercase:			Optional[Any]       =     regex.compile(A_       )
         _lowercase:			Dict       =     {v: k for k, v in self.artists_encoder.items()}
         _lowercase:			List[Any]       =     {v: k for k, v in self.genres_encoder.items()}
         _lowercase:			Union[str, Any]       =     {v: k for k, v in self.lyrics_encoder.items()}
       @property
       def 							lowercase_							(     self       )     ->	int:





         """simple docstring"""




         return len(self.artists_encoder       ) + len(self.genres_encoder       ) + len(self.lyrics_encoder       )
       def 							lowercase_							(     self       )     ->	Union[str, Any]:





         """simple docstring"""




         return dict(self.artists_encoder ,				self.genres_encoder ,				self.lyrics_encoder       )
       def 							lowercase_							(     self ,				A_ ,				A_ ,				A_       )     ->	List[str]:





         """simple docstring"""




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

         _lowercase:			Optional[Any]       =     [[self.lyrics_encoder.get(A_ ,				0       ) for character in list_lyrics[0]], [], []]
         return artists_id, list_genres, lyric_ids
       def 							lowercase_							(     self ,				A_       )     ->	str:





         """simple docstring"""




         return list(A_       )
       def 							lowercase_							(     self ,				A_ ,				A_ ,				A_ ,				**A_       )     ->	List[Any]:





         """simple docstring"""




         _lowercase ,				_lowercase ,				_lowercase:			Union[str, Any]       =     self.prepare_for_tokenization(A_ ,				A_ ,				A_       )
         _lowercase:			Tuple       =     self._tokenize(A_       )
         return artist, genre, lyrics
       def 							lowercase_							(     self ,				A_ ,				A_ ,				A_ ,				A_ = False       )     ->	Tuple[str, str, str, Dict[str, Any]]:





         """simple docstring"""




         for idx in range(len(self.version       )       ):
           if self.version[idx] == "v3":
             _lowercase:			Dict       =     artists[idx].lower()
             _lowercase:			str       =     [genres[idx].lower()]
           else:
             _lowercase:			List[str]       =     self._normalize(artists[idx]       ) + '''.v2'''
             _lowercase:			List[Any]       =     [
                 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:			Tuple       =     regex.compile(R'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'''       )
           _lowercase:			int       =     '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'''
           _lowercase:			Tuple       =     {vocab[index]: index + 1 for index in range(len(A_       )       )}
           _lowercase:			Dict       =     0
           _lowercase:			List[str]       =     len(A_       ) + 1
           _lowercase:			Tuple       =     self.vocab
           _lowercase:			Union[str, Any]       =     {v: k for k, v in self.vocab.items()}
           _lowercase:			Optional[int]       =     ''''''
         else:
           _lowercase:			Tuple       =     regex.compile(R'''[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+'''       )

         _lowercase:			List[str]       =     self._run_strip_accents(A_       )
         _lowercase:			Tuple       =     lyrics.replace('''\\''' ,				'''\n'''       )
         _lowercase:			List[Any]       =     self.out_of_vocab.sub('''''' ,				A_       ), [], []
         return artists, genres, lyrics
       def 							lowercase_							(     self ,				A_       )     ->	Any:





         """simple docstring"""




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





         """simple docstring"""




         _lowercase:			str       =     (
             [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:			List[str]       =     frozenset(A_       )
         _lowercase:			Tuple       =     re.compile(R'''_+'''       )
         _lowercase:			List[Any]       =     ''''''.join([c if c in accepted else '''_''' for c in text.lower()]       )
         _lowercase:			int       =     pattern.sub('''_''' ,				A_       ).strip('''_'''       )
         return text
       def 							lowercase_							(     self ,				A_       )     ->	str:





         """simple docstring"""




         return " ".join(A_       )
       def 							lowercase_							(     self ,				A_ ,				A_ = None ,				A_ = False       )     ->	Optional[int]:





         """simple docstring"""




         if not isinstance(A_ ,				A_       ):
           _lowercase:			Optional[int]       =     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:			Optional[int]       =     tf.constant
           _lowercase:			Tuple       =     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:			Tuple       =     torch.tensor
           _lowercase:			List[str]       =     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:			Optional[int]       =     jnp.array
           _lowercase:			List[Any]       =     _is_jax
         else:
           _lowercase:			Optional[Any]       =     np.asarray
           _lowercase:			List[str]       =     _is_numpy

         # Do the tensor conversion in batch

         try:
           if prepend_batch_axis:
             _lowercase:			Dict       =     [inputs]

           if not is_tensor(A_       ):
             _lowercase:			Union[str, Any]       =     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"       )     ->	BatchEncoding:





         """simple docstring"""




         _lowercase:			List[str]       =     [0, 0, 0]
         _lowercase:			Optional[int]       =     [artist] * len(self.version       )
         _lowercase:			Dict       =     [genres] * len(self.version       )

         _lowercase ,				_lowercase ,				_lowercase:			Union[str, Any]       =     self.tokenize(A_ ,				A_ ,				A_       )
         _lowercase ,				_lowercase ,				_lowercase:			str       =     self._convert_token_to_id(A_ ,				A_ ,				A_       )

         _lowercase:			List[str]       =     [-INFINITY] * len(full_tokens[-1]       )
         _lowercase:			str       =     [
             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 							lowercase_							(     self ,				A_ ,				A_ = None       )     ->	Tuple[str]:





         """simple docstring"""




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

         _lowercase:			str       =     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:			str       =     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:			Any       =     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 							lowercase_							(     self ,				A_ ,				A_ ,				A_       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			Dict       =     self.artists_decoder.get(A_       )
         _lowercase:			Dict       =     [self.genres_decoder.get(A_       ) for genre in genres_index]
         _lowercase:			Optional[int]       =     [self.lyrics_decoder.get(A_       ) for character in lyric_index]
         return artist, genres, lyrics


"""simple docstring"""




from typing import Any

import numpy as np




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  return np.array_equal(_UpperCamelCase ,				matrix.conjugate().T						)




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			str       =     v.conjugate().T
  _lowercase:			List[Any]       =     v_star.dot(_UpperCamelCase						)
  assert isinstance(_UpperCamelCase ,				np.ndarray						)
  return (v_star_dot.dot(_UpperCamelCase						)) / (v_star.dot(_UpperCamelCase						))




def  _lowerCAmelCase		(		):






  """simple docstring"""



  _lowercase:			int       =     np.array([[2, 2 + 1j, 4], [2 - 1j, 3, 1j], [4, -1j, 1]]						)
  _lowercase:			str       =     np.array([[1], [2], [3]]						)
  assert is_hermitian(_UpperCamelCase						), f'''{a} is not hermitian.'''
  print(rayleigh_quotient(_UpperCamelCase ,				_UpperCamelCase						)						)

  _lowercase:			Any       =     np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]						)
  assert is_hermitian(_UpperCamelCase						), f'''{a} is not hermitian.'''
  assert rayleigh_quotient(_UpperCamelCase ,				_UpperCamelCase						) == float(3						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  tests()
