






'''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							=logging.get_logger(__name__)

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

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




class     A    (      SCREAMING_SNAKE_CASE__						):






 """simple docstring"""





 __a			:						Dict      =						VOCAB_FILES_NAMES
 __a			:						Union[str, Any]      =						PRETRAINED_VOCAB_FILES_MAP
 __a			:						Union[str, Any]      =						PRETRAINED_LYRIC_TOKENS_SIZES
 __a			:						Dict      =						['''input_ids''', '''attention_mask''']
 def __init__(							self			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase=["v3", "v2", "v2"]			,     __lowerCAmelCase=5_12			,     __lowerCAmelCase=5			,     __lowerCAmelCase="<|endoftext|>"			,     **__lowerCAmelCase			,     ):
       UpperCamelCase_				:   int					    =							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			,     )
       UpperCamelCase_				:   Tuple					    =							version
       UpperCamelCase_				:   List[Any]					    =							max_n_lyric_tokens
       UpperCamelCase_				:   Dict					    =							n_genres

       with open(__lowerCAmelCase			,     encoding="""utf-8""" ) as vocab_handle:
             UpperCamelCase_				:   Any					    =							json.load(__lowerCAmelCase )

       with open(__lowerCAmelCase			,     encoding="""utf-8""" ) as vocab_handle:
             UpperCamelCase_				:   Optional[int]					    =							json.load(__lowerCAmelCase )

       with open(__lowerCAmelCase			,     encoding="""utf-8""" ) as vocab_handle:
             UpperCamelCase_				:   str					    =							json.load(__lowerCAmelCase )

       UpperCamelCase_				:   Union[str, Any]					    =							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:
             UpperCamelCase_				:   Optional[int]					    =							oov.replace(R"""\-'"""			,     R"""\-+'""" )

       UpperCamelCase_				:   str					    =							regex.compile(__lowerCAmelCase )
       UpperCamelCase_				:   Optional[int]					    =							{v: k for k, v in self.artists_encoder.items()}
       UpperCamelCase_				:   Dict					    =							{v: k for k, v in self.genres_encoder.items()}
       UpperCamelCase_				:   Optional[Any]					    =							{v: k for k, v in self.lyrics_encoder.items()}
 @property
 def   _UpperCAmelCase       (							self ):
       return len(self.artists_encoder ) + len(self.genres_encoder ) + len(self.lyrics_encoder )
 def   _UpperCAmelCase       (							self ):
       return dict(self.artists_encoder			,     self.genres_encoder			,     self.lyrics_encoder )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase ):
       UpperCamelCase_				:   str					    =							[self.artists_encoder.get(__lowerCAmelCase			,     0 ) for artist in list_artists]
       for genres in range(len(__lowerCAmelCase ) ):
             UpperCamelCase_				:   Optional[int]					    =							[self.genres_encoder.get(__lowerCAmelCase			,     0 ) for genre in list_genres[genres]]
             UpperCamelCase_				:   Tuple					    =							list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres] ))

       UpperCamelCase_				:   Tuple					    =							[[self.lyrics_encoder.get(__lowerCAmelCase			,     0 ) for character in list_lyrics[0]], [], []]
       return artists_id, list_genres, lyric_ids
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       return list(__lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     **__lowerCAmelCase ):
       UpperCamelCase_    ,			UpperCamelCase_    ,			UpperCamelCase_				:   Union[str, Any]					    =							self.prepare_for_tokenization(__lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase )
       UpperCamelCase_				:   Tuple					    =							self._tokenize(__lowerCAmelCase )
       return artist, genre, lyrics
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase = False ):
       for idx in range(len(self.version ) ):
             if self.version[idx] == "v3":
                   UpperCamelCase_				:   Tuple					    =							artists[idx].lower()
                   UpperCamelCase_				:   str					    =							[genres[idx].lower()]
             else:
                   UpperCamelCase_				:   List[Any]					    =							self._normalize(artists[idx] ) + """.v2"""
                   UpperCamelCase_				:   Any					    =							[
                       self._normalize(__lowerCAmelCase ) + """.v2""" for genre in genres[idx].split("""_""" )
                   ]  # split is for the full dictionary with combined genres

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

       UpperCamelCase_				:   Union[str, Any]					    =							self._run_strip_accents(__lowerCAmelCase )
       UpperCamelCase_				:   Optional[Any]					    =							lyrics.replace("""\\"""			,     """\n""" )
       UpperCamelCase_				:   str					    =							self.out_of_vocab.sub(""""""			,     __lowerCAmelCase ), [], []
       return artists, genres, lyrics
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Tuple					    =							unicodedata.normalize("""NFD"""			,     __lowerCAmelCase )
       UpperCamelCase_				:   List[Any]					    =							[]
       for char in text:
             UpperCamelCase_				:   Tuple					    =							unicodedata.category(__lowerCAmelCase )
             if cat == "Mn":
                   continue
             output.append(__lowerCAmelCase )
       return "".join(__lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Tuple					    =							(
           [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 )]
           + ["""."""]
       )
       UpperCamelCase_				:   Any					    =							frozenset(__lowerCAmelCase )
       UpperCamelCase_				:   List[Any]					    =							re.compile(R"""_+""" )
       UpperCamelCase_				:   Dict					    =							"""""".join([c if c in accepted else """_""" for c in text.lower()] )
       UpperCamelCase_				:   Dict					    =							pattern.sub("""_"""			,     __lowerCAmelCase ).strip("""_""" )
       return text
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       return " ".join(__lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None			,     __lowerCAmelCase = False ):
       # Convert to TensorType
       if not isinstance(__lowerCAmelCase			,     __lowerCAmelCase ):
             UpperCamelCase_				:   List[Any]					    =							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

             UpperCamelCase_				:   List[str]					    =							tf.constant
             UpperCamelCase_				:   Optional[int]					    =							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

             UpperCamelCase_				:   Any					    =							torch.tensor
             UpperCamelCase_				:   int					    =							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

             UpperCamelCase_				:   Dict					    =							jnp.array
             UpperCamelCase_				:   int					    =							_is_jax
       else:
             UpperCamelCase_				:   List[str]					    =							np.asarray
             UpperCamelCase_				:   Any					    =							_is_numpy

       # Do the tensor conversion in batch

       try:
             if prepend_batch_axis:
                   UpperCamelCase_				:   int					    =							[inputs]

             if not is_tensor(__lowerCAmelCase ):
                   UpperCamelCase_				:   str					    =							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" ):
       UpperCamelCase_				:   Union[str, Any]					    =							[0, 0, 0]
       UpperCamelCase_				:   Optional[int]					    =							[artist] * len(self.version )
       UpperCamelCase_				:   List[str]					    =							[genres] * len(self.version )

       UpperCamelCase_    ,			UpperCamelCase_    ,			UpperCamelCase_				:   Optional[int]					    =							self.tokenize(__lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase )
       UpperCamelCase_    ,			UpperCamelCase_    ,			UpperCamelCase_				:   List[Any]					    =							self._convert_token_to_id(__lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase )

       UpperCamelCase_				:   Optional[Any]					    =							[-INFINITY] * len(full_tokens[-1] )
       UpperCamelCase_				:   Union[str, Any]					    =							[
           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			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       if not os.path.isdir(__lowerCAmelCase ):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory" )
             return

       UpperCamelCase_				:   Tuple					    =							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 ) )

       UpperCamelCase_				:   List[str]					    =							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 ) )

       UpperCamelCase_				:   Union[str, Any]					    =							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			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Any					    =							self.artists_decoder.get(__lowerCAmelCase )
       UpperCamelCase_				:   str					    =							[self.genres_decoder.get(__lowerCAmelCase ) for genre in genres_index]
       UpperCamelCase_				:   int					    =							[self.lyrics_decoder.get(__lowerCAmelCase ) for character in lyric_index]
       return artist, genres, lyrics














'''simple docstring'''

def 							snake_case					(     a_							: int	)       ->				int:





      """simple docstring"""

      assert (
          isinstance(a_    ,   a_	) and number_of_steps > 0
      ), f"number_of_steps needs to be positive integer, your input {number_of_steps}"
      if number_of_steps == 1:
            return 1
      UpperCamelCase_    ,			UpperCamelCase_				:   str					    =							1, 1
      for _ in range(number_of_steps - 1	):
            UpperCamelCase_    ,			UpperCamelCase_				:   Tuple					    =							current + previous, current
      return current


if __name__ == "__main__":
      import doctest

      doctest.testmod()






