






'''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    	=   logging.get_logger(__name__)

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

__A    	=   {
    "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    	=   {
    "jukebox": 5_1_2,
}




class a_    (    UpperCamelCase_							):
   _snake_case        =							VOCAB_FILES_NAMES
   _snake_case        =							PRETRAINED_VOCAB_FILES_MAP
   _snake_case        =							PRETRAINED_LYRIC_TOKENS_SIZES
   _snake_case        =							["""input_ids""", """attention_mask"""]







   def __init__(self					,   __a					,   __a					,   __a					,   __a=["v3", "v2", "v2"]					,   __a=5_1_2					,   __a=5					,   __a="<|endoftext|>"					,   **__a					,   )			->      List[str]:
      """simple docstring"""






      __snake_case				:      Optional[Any]     							= AddedToken(UpperCAmelCase__					,   lstrip=UpperCAmelCase__					,   rstrip=UpperCAmelCase__) if isinstance(UpperCAmelCase__					,   UpperCAmelCase__) else unk_token
      super().__init__(
          unk_token=UpperCAmelCase__					,   n_genres=UpperCAmelCase__					,   version=UpperCAmelCase__					,   max_n_lyric_tokens=UpperCAmelCase__					,   **UpperCAmelCase__					,   )
      __snake_case				:      Dict     							= version
      __snake_case				:      int     							= max_n_lyric_tokens
      __snake_case				:      Optional[Any]     							= n_genres

      with open(UpperCAmelCase__					,   encoding='utf-8') as vocab_handle:
         __snake_case				:      Any     							= json.load(UpperCAmelCase__)

      with open(UpperCAmelCase__					,   encoding='utf-8') as vocab_handle:
         __snake_case				:      Tuple     							= json.load(UpperCAmelCase__)

      with open(UpperCAmelCase__					,   encoding='utf-8') as vocab_handle:
         __snake_case				:      Optional[int]     							= json.load(UpperCAmelCase__)

      __snake_case				:      str     							= 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) == 7_9:
         __snake_case				:      Union[str, Any]     							= oov.replace(R'\-\''					,   R'\-+\'')

      __snake_case				:      Tuple     							= regex.compile(UpperCAmelCase__)
      __snake_case				:      Optional[int]     							= {v: k for k, v in self.artists_encoder.items()}
      __snake_case				:      Any     							= {v: k for k, v in self.genres_encoder.items()}
      __snake_case				:      int     							= {v: k for k, v in self.lyrics_encoder.items()}







   @property
   def     SCREAMING_SNAKE_CASE__					(self)			->      Optional[int]:
      """simple docstring"""






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







   def     SCREAMING_SNAKE_CASE__					(self)			->      List[str]:
      """simple docstring"""






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







   def     SCREAMING_SNAKE_CASE__					(self					,   __a					,   __a					,   __a)			->      Optional[int]:
      """simple docstring"""






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

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







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      Tuple:
      """simple docstring"""






      return list(UpperCAmelCase__)







   def     SCREAMING_SNAKE_CASE__					(self					,   __a					,   __a					,   __a					,   **__a)			->      Optional[int]:
      """simple docstring"""






      __snake_case							,__snake_case							,__snake_case				:      int     							= self.prepare_for_tokenization(UpperCAmelCase__					,   UpperCAmelCase__					,   UpperCAmelCase__)
      __snake_case				:      List[Any]     							= self._tokenize(UpperCAmelCase__)
      return artist, genre, lyrics







   def     SCREAMING_SNAKE_CASE__					(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":
            __snake_case				:      Any     							= artists[idx].lower()
            __snake_case				:      Dict     							= [genres[idx].lower()]
         else:
            __snake_case				:      Optional[Any]     							= self._normalize(artists[idx]) + '.v2'
            __snake_case				:      Tuple     							= [
                self._normalize(UpperCAmelCase__) + '.v2' for genre in genres[idx].split('_')
            ]  # split is for the full dictionary with combined genres

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

      __snake_case				:      Optional[int]     							= self._run_strip_accents(UpperCAmelCase__)
      __snake_case				:      Dict     							= lyrics.replace('\\'					,   '\n')
      __snake_case				:      Union[str, Any]     							= self.out_of_vocab.sub(''					,   UpperCAmelCase__), [], []
      return artists, genres, lyrics







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      Dict:
      """simple docstring"""






      __snake_case				:      int     							= unicodedata.normalize('NFD'					,   UpperCAmelCase__)
      __snake_case				:      Union[str, Any]     							= []
      for char in text:
         __snake_case				:      Any     							= unicodedata.category(UpperCAmelCase__)
         if cat == "Mn":
            continue
         output.append(UpperCAmelCase__)
      return "".join(UpperCAmelCase__)







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      str:
      """simple docstring"""






      __snake_case				:      Dict     							= (
          [chr(UpperCAmelCase__) for i in range(ord('a')					,   ord('z') + 1)]
          + [chr(UpperCAmelCase__) for i in range(ord('A')					,   ord('Z') + 1)]
          + [chr(UpperCAmelCase__) for i in range(ord('0')					,   ord('9') + 1)]
          + ['.']
      )
      __snake_case				:      List[str]     							= frozenset(UpperCAmelCase__)
      __snake_case				:      List[str]     							= re.compile(R'_+')
      __snake_case				:      str     							= ''.join([c if c in accepted else '_' for c in text.lower()])
      __snake_case				:      List[Any]     							= pattern.sub('_'					,   UpperCAmelCase__).strip('_')
      return text







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      str:
      """simple docstring"""






      return " ".join(UpperCAmelCase__)







   def     SCREAMING_SNAKE_CASE__					(self					,   __a					,   __a = None					,   __a = False)			->      List[str]:
      """simple docstring"""






      if not isinstance(UpperCAmelCase__					,   UpperCAmelCase__):
         __snake_case				:      Any     							= TensorType(UpperCAmelCase__)

      # 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

         __snake_case				:      Dict     							= tf.constant
         __snake_case				:      Union[str, 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

         __snake_case				:      Dict     							= torch.tensor
         __snake_case				:      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

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

      # Do the tensor conversion in batch

      try:
         if prepend_batch_axis:
            __snake_case				:      List[Any]     							= [inputs]

         if not is_tensor(UpperCAmelCase__):
            __snake_case				:      Any     							= as_tensor(UpperCAmelCase__)
      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"""






      __snake_case				:      Dict     							= [0, 0, 0]
      __snake_case				:      List[Any]     							= [artist] * len(self.version)
      __snake_case				:      str     							= [genres] * len(self.version)

      __snake_case							,__snake_case							,__snake_case				:      Optional[Any]     							= self.tokenize(UpperCAmelCase__					,   UpperCAmelCase__					,   UpperCAmelCase__)
      __snake_case							,__snake_case							,__snake_case				:      Optional[Any]     							= self._convert_token_to_id(UpperCAmelCase__					,   UpperCAmelCase__					,   UpperCAmelCase__)

      __snake_case				:      Any     							= [-INFINITY] * len(full_tokens[-1])
      __snake_case				:      List[Any]     							= [
          self.convert_to_tensors(
              [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]					,   tensor_type=UpperCAmelCase__)
          for i in range(len(self.version))
      ]
      return BatchEncoding({'input_ids': input_ids, 'attention_masks': attention_masks})







   def     SCREAMING_SNAKE_CASE__					(self					,   __a					,   __a = None)			->      Tuple[str]:
      """simple docstring"""






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

      __snake_case				:      List[str]     							= os.path.join(
          UpperCAmelCase__					,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['artists_file'])
      with open(UpperCAmelCase__					,   'w'					,   encoding='utf-8') as f:
         f.write(json.dumps(self.artists_encoder					,   ensure_ascii=UpperCAmelCase__))

      __snake_case				:      Optional[Any]     							= os.path.join(
          UpperCAmelCase__					,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['genres_file'])
      with open(UpperCAmelCase__					,   'w'					,   encoding='utf-8') as f:
         f.write(json.dumps(self.genres_encoder					,   ensure_ascii=UpperCAmelCase__))

      __snake_case				:      Dict     							= os.path.join(
          UpperCAmelCase__					,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['lyrics_file'])
      with open(UpperCAmelCase__					,   'w'					,   encoding='utf-8') as f:
         f.write(json.dumps(self.lyrics_encoder					,   ensure_ascii=UpperCAmelCase__))

      return (artists_file, genres_file, lyrics_file)







   def     SCREAMING_SNAKE_CASE__					(self					,   __a					,   __a					,   __a)			->      Dict:
      """simple docstring"""






      __snake_case				:      Optional[int]     							= self.artists_decoder.get(UpperCAmelCase__)
      __snake_case				:      List[str]     							= [self.genres_decoder.get(UpperCAmelCase__) for genre in genres_index]
      __snake_case				:      List[str]     							= [self.lyrics_decoder.get(UpperCAmelCase__) for character in lyric_index]
      return artist, genres, lyrics







'''simple docstring'''






def        _SCREAMING_SNAKE_CASE  (				A  :       int  )    -> int:







   """simple docstring"""
   __snake_case				:      str     							= 1
   for i in range(1  ,		num + 1  ):
      fact *= i
   return fact




def        _SCREAMING_SNAKE_CASE  (				A  :       int  )    -> int:







   """simple docstring"""
   __snake_case				:      Union[str, Any]     							= 0
   while number > 0:
      __snake_case				:      Dict     							= number % 10
      sum_of_digits += last_digit
      __snake_case				:      Union[str, Any]     							= number // 10  # Removing the last_digit from the given number
   return sum_of_digits




def        _SCREAMING_SNAKE_CASE  (				A  :       int = 1_00  )    -> int:







   """simple docstring"""
   __snake_case				:      List[Any]     							= factorial(A  )
   __snake_case				:      Dict     							= split_and_add(A  )
   return result


if __name__ == "__main__":
      print(solution(int(input('''Enter the Number: ''').strip())))