

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''': 512,
}


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):
    __lowerCamelCase						:	Optional[int]														=					VOCAB_FILES_NAMES
    __lowerCamelCase						:	List[str]														=					PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:	Tuple														=					PRETRAINED_LYRIC_TOKENS_SIZES
    __lowerCamelCase						:	Optional[int]														=					["""input_ids""", """attention_mask"""]





    def __init__(				self						,       a						,       a						,       a						,       a=["v3", "v2", "v2"]						,       a=512						,       a=5						,       a="<|endoftext|>"						,       **a						,       ):
         lowercase__   :       List[Any]				=	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__   :       Dict				=	max_n_lyric_tokens
         lowercase__   :       Optional[Any]				=	n_genres

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

         with open(a						,       encoding='utf-8') as vocab_handle:
              lowercase__   :       List[str]				=	json.load(a)

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

         lowercase__   :       Dict				=	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[Any]				=	oov.replace(r'\-\''						,       r'\-+\'')

         lowercase__   :       str				=	regex.compile(a)
         lowercase__   :       Any				=	{v: k for k, v in self.artists_encoder.items()}
         lowercase__   :       Union[str, Any]				=	{v: k for k, v in self.genres_encoder.items()}
         lowercase__   :       List[Any]				=	{v: k for k, v in self.lyrics_encoder.items()}





    @property
    def 				snake_case_    (				self):
         return len(self.artists_encoder) + len(self.genres_encoder) + len(self.lyrics_encoder)





    def 				snake_case_    (				self):
         return dict(self.artists_encoder						,       self.genres_encoder						,       self.lyrics_encoder)





    def 				snake_case_    (				self						,       a						,       a						,       a):
         lowercase__   :       Optional[int]				=	[self.artists_encoder.get(a						,       0) for artist in list_artists]
         for genres in range(len(a)):
              lowercase__   :       Optional[int]				=	[self.genres_encoder.get(a						,       0) for genre in list_genres[genres]]
              lowercase__   :       Optional[Any]				=	list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]))

         lowercase__   :       Union[str, Any]				=	[[self.lyrics_encoder.get(a						,       0) for character in list_lyrics[0]], [], []]
         return artists_id, list_genres, lyric_ids





    def 				snake_case_    (				self						,       a):
         return list(a)





    def 				snake_case_    (				self						,       a						,       a						,       a						,       **a):
         lowercase__				,			lowercase__				,			lowercase__   :       int				=	self.prepare_for_tokenization(a						,       a						,       a)
         lowercase__   :       Tuple				=	self._tokenize(a)
         return artist, genre, lyrics





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

         lowercase__   :       Any				=	self._run_strip_accents(a)
         lowercase__   :       Dict				=	lyrics.replace('\\'						,       '\n')
         lowercase__   :       Any				=	self.out_of_vocab.sub(''						,       a), [], []
         return artists, genres, lyrics





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Dict				=	unicodedata.normalize('NFD'						,       a)
         lowercase__   :       Any				=	[]
         for char in text:
              lowercase__   :       List[Any]				=	unicodedata.category(a)
              if cat == "Mn":
                   continue
              output.append(a)
         return "".join(a)





    def 				snake_case_    (				self						,       a):
         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__   :       Tuple				=	frozenset(a)
         lowercase__   :       int				=	re.compile(r'_+')
         lowercase__   :       str				=	''.join([c if c in accepted else '_' for c in text.lower()])
         lowercase__   :       Optional[int]				=	pattern.sub('_'						,       a).strip('_')
         return text





    def 				snake_case_    (				self						,       a):
         return " ".join(a)





    def 				snake_case_    (				self						,       a						,       a = None						,       a = False):
         # Convert to TensorType
         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__   :       List[str]				=	tf.constant
              lowercase__   :       List[str]				=	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__   :       List[str]				=	torch.tensor
              lowercase__   :       Optional[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

              lowercase__   :       Tuple				=	jnp.array
              lowercase__   :       List[str]				=	_is_jax
         else:
              lowercase__   :       Union[str, Any]				=	np.asarray
              lowercase__   :       Optional[Any]				=	_is_numpy

         # Do the tensor conversion in batch

         try:
              if prepend_batch_axis:
                   lowercase__   :       Optional[int]				=	[inputs]

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

         lowercase__				,			lowercase__				,			lowercase__   :       List[Any]				=	self.tokenize(a						,       a						,       a)
         lowercase__				,			lowercase__				,			lowercase__   :       Any				=	self._convert_token_to_id(a						,       a						,       a)

         lowercase__   :       Optional[int]				=	[-INFINITY] * len(full_tokens[-1])
         lowercase__   :       List[Any]				=	[
             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 				snake_case_    (				self						,       a						,       a = None):
         if not os.path.isdir(a):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
              return

         lowercase__   :       List[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__   :       Tuple				=	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__   :       Dict				=	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 				snake_case_    (				self						,       a						,       a						,       a):
         lowercase__   :       List[str]				=	self.artists_decoder.get(a)
         lowercase__   :       Union[str, Any]				=	[self.genres_decoder.get(a) for genre in genres_index]
         lowercase__   :       List[str]				=	[self.lyrics_decoder.get(a) for character in lyric_index]
         return artist, genres, lyrics




def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



     '''simple docstring'''





     return 1 if digit in (0, 1) else (digit * factorial(digit - 1      ))

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



     '''simple docstring'''





     lowercase__   :       List[str]				=	0
     lowercase__   :       Optional[int]				=	number
     while duplicate > 0:
          lowercase__				,			lowercase__   :       Tuple				=	divmod(SCREAMING_SNAKE_CASE_     ,					10      )
          fact_sum += factorial(SCREAMING_SNAKE_CASE_      )
     return fact_sum == number


if __name__ == "__main__":
       print('''Program to check whether a number is a Krisnamurthy Number or not.''')
       snake_case_        =			int(input('''Enter number: ''').strip())
       print(
           F'''{number} is {'' if krishnamurthy(number) else 'not '}a Krishnamurthy Number.'''
       )

