
'''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


snake_case									=    logging.get_logger(__name__)

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

snake_case									=    {
    """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""",
    },
}

snake_case									=    {
    """jukebox""": 5_12,
}




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				List[Any]	=			VOCAB_FILES_NAMES
 A_				:				Optional[int]	=			PRETRAINED_VOCAB_FILES_MAP
 A_				:				Dict	=			PRETRAINED_LYRIC_TOKENS_SIZES
 A_				:				Optional[Any]	=			["""input_ids""", """attention_mask"""]


 def __init__(    self  : Any			,							a__  : Any			,							a__  : Optional[Any]			,							a__  : str			,							a__  : str=["v3", "v2", "v2"]			,							a__  : str=512			,							a__  : str=5			,							a__  : Dict="<|endoftext|>"			,							**a__  : List[str]			,							):
  '''simple docstring'''

  lowerCAmelCase__     :   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__			,							)
  lowerCAmelCase__     :   Optional[Any]     		=	version
  lowerCAmelCase__     :   Union[str, Any]     		=	max_n_lyric_tokens
  lowerCAmelCase__     :   str     		=	n_genres

  with open(a__			,							encoding="utf-8"    ) as vocab_handle:
   lowerCAmelCase__     :   int     		=	json.load(a__    )

  with open(a__			,							encoding="utf-8"    ) as vocab_handle:
   lowerCAmelCase__     :   Dict     		=	json.load(a__    )

  with open(a__			,							encoding="utf-8"    ) as vocab_handle:
   lowerCAmelCase__     :   Optional[Any]     		=	json.load(a__    )

  lowerCAmelCase__     :   Optional[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:
   lowerCAmelCase__     :   Tuple     		=	oov.replace(r"\-'"			,							r"\-+'"    )

  lowerCAmelCase__     :   str     		=	regex.compile(a__    )
  lowerCAmelCase__     :   str     		=	{v: k for k, v in self.artists_encoder.items()}
  lowerCAmelCase__     :   List[str]     		=	{v: k for k, v in self.genres_encoder.items()}
  lowerCAmelCase__     :   Dict     		=	{v: k for k, v in self.lyrics_encoder.items()}


 @property
 def    _A	(    self  : Optional[Any]    ):
  '''simple docstring'''

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


 def    _A	(    self  : Any    ):
  '''simple docstring'''

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


 def    _A	(    self  : int			,							a__  : str			,							a__  : int			,							a__  : int    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Dict     		=	[self.artists_encoder.get(a__			,							0    ) for artist in list_artists]
  for genres in range(len(a__    )    ):
   lowerCAmelCase__     :   List[str]     		=	[self.genres_encoder.get(a__			,							0    ) for genre in list_genres[genres]]
   lowerCAmelCase__     :   Optional[int]     		=	list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]    ))

  lowerCAmelCase__     :   str     		=	[[self.lyrics_encoder.get(a__			,							0    ) for character in list_lyrics[0]], [], []]
  return artists_id, list_genres, lyric_ids


 def    _A	(    self  : Dict			,							a__  : Any    ):
  '''simple docstring'''

  return list(a__    )


 def    _A	(    self  : Optional[Any]			,							a__  : List[str]			,							a__  : Union[str, Any]			,							a__  : List[str]			,							**a__  : Optional[Any]    ):
  '''simple docstring'''

  lowerCAmelCase__		,     lowerCAmelCase__		,     lowerCAmelCase__     :   Optional[Any]     		=	self.prepare_for_tokenization(a__			,							a__			,							a__    )
  lowerCAmelCase__     :   int     		=	self._tokenize(a__    )
  return artist, genre, lyrics


 def    _A	(    self  : List[Any]			,							a__  : str			,							a__  : str			,							a__  : str			,							a__  : bool = False    ):
  '''simple docstring'''

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

  lowerCAmelCase__     :   Union[str, Any]     		=	self._run_strip_accents(a__    )
  lowerCAmelCase__     :   Any     		=	lyrics.replace("\\"			,							"\n"    )
  lowerCAmelCase__     :   List[Any]     		=	self.out_of_vocab.sub(""			,							a__    ), [], []
  return artists, genres, lyrics


 def    _A	(    self  : Optional[Any]			,							a__  : Dict    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Optional[Any]     		=	unicodedata.normalize("NFD"			,							a__    )
  lowerCAmelCase__     :   List[Any]     		=	[]
  for char in text:
   lowerCAmelCase__     :   Tuple     		=	unicodedata.category(a__    )
   if cat == "Mn":
    continue
   output.append(a__    )
  return "".join(a__    )


 def    _A	(    self  : int			,							a__  : str    ):
  '''simple docstring'''

  lowerCAmelCase__     :   List[Any]     		=	(
      [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    )]
      + ["."]
  )
  lowerCAmelCase__     :   Optional[Any]     		=	frozenset(a__    )
  lowerCAmelCase__     :   Union[str, Any]     		=	re.compile(r"_+"    )
  lowerCAmelCase__     :   str     		=	"".join([c if c in accepted else "_" for c in text.lower()]    )
  lowerCAmelCase__     :   Optional[int]     		=	pattern.sub("_"			,							a__    ).strip("_"    )
  return text


 def    _A	(    self  : Any			,							a__  : List[str]    ):
  '''simple docstring'''

  return " ".join(a__    )


 def    _A	(    self  : Any			,							a__  : Optional[Any]			,							a__  : Optional[Union[str, TensorType]] = None			,							a__  : bool = False    ):
  '''simple docstring'''

  if not isinstance(a__			,							a__    ):
   lowerCAmelCase__     :   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

   lowerCAmelCase__     :   Optional[int]     		=	tf.constant
   lowerCAmelCase__     :   Any     		=	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

   lowerCAmelCase__     :   str     		=	torch.tensor
   lowerCAmelCase__     :   List[Any]     		=	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

   lowerCAmelCase__     :   str     		=	jnp.array
   lowerCAmelCase__     :   int     		=	_is_jax
  else:
   lowerCAmelCase__     :   Tuple     		=	np.asarray
   lowerCAmelCase__     :   Optional[int]     		=	_is_numpy

  # Do the tensor conversion in batch

  try:
   if prepend_batch_axis:
    lowerCAmelCase__     :   List[str]     		=	[inputs]

   if not is_tensor(a__    ):
    lowerCAmelCase__     :   str     		=	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  : Union[str, Any]			,							a__  : Optional[int]			,							a__  : List[Any]			,							a__  : Tuple=""			,							a__  : Tuple="pt"    ):
  '''simple docstring'''

  lowerCAmelCase__     :   List[Any]     		=	[0, 0, 0]
  lowerCAmelCase__     :   int     		=	[artist] * len(self.version    )
  lowerCAmelCase__     :   Any     		=	[genres] * len(self.version    )

  lowerCAmelCase__		,     lowerCAmelCase__		,     lowerCAmelCase__     :   Dict     		=	self.tokenize(a__			,							a__			,							a__    )
  lowerCAmelCase__		,     lowerCAmelCase__		,     lowerCAmelCase__     :   Optional[Any]     		=	self._convert_token_to_id(a__			,							a__			,							a__    )

  lowerCAmelCase__     :   Tuple     		=	[-INFINITY] * len(full_tokens[-1]    )
  lowerCAmelCase__     :   List[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    _A	(    self  : Optional[int]			,							a__  : str			,							a__  : Optional[str] = None    ):
  '''simple docstring'''

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

  lowerCAmelCase__     :   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__    )    )

  lowerCAmelCase__     :   int     		=	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__    )    )

  lowerCAmelCase__     :   Optional[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    _A	(    self  : List[Any]			,							a__  : str			,							a__  : str			,							a__  : List[str]    ):
  '''simple docstring'''

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







'''simple docstring'''

def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 if height >= 1:
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)
  move_disk(lowerCamelCase_      ,			lowerCamelCase_			)
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 print("moving disk from"      ,			lowerCamelCase_      ,			"to"      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  ):







 """simple docstring"""


 lowerCAmelCase__     :   List[str]     		=	int(input("Height of hanoi: "			).strip()			)
 move_tower(lowerCamelCase_      ,			"A"      ,			"B"      ,			"C"			)


if __name__ == "__main__":
     main()





