
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      :				Dict          = logging.get_logger(__name__)

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

_UpperCAmelCase      :				Optional[int]          = {
    "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      :				Dict          = {
    "jukebox": 512,
}


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):
		__lowercase : Optional[Any]			  =       VOCAB_FILES_NAMES
		__lowercase : Tuple			  =       PRETRAINED_VOCAB_FILES_MAP
		__lowercase : str			  =       PRETRAINED_LYRIC_TOKENS_SIZES
		__lowercase : Union[str, Any]			  =       ["input_ids", "attention_mask"]



		def __init__(				self       ,   A_       ,   A_       ,   A_       ,   A_=["v3", "v2", "v2"]       ,   A_=512       ,   A_=5       ,   A_="<|endoftext|>"       ,   **A_       ,   )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  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_       ,   )
				UpperCamelCase						=  version
				UpperCamelCase						=  max_n_lyric_tokens
				UpperCamelCase						=  n_genres

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

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

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

				UpperCamelCase						=  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						=  oov.replace(r'\-\''       ,   r'\-+\'' )

				UpperCamelCase						=  regex.compile(A_ )
				UpperCamelCase						=  {v: k for k, v in self.artists_encoder.items()}
				UpperCamelCase						=  {v: k for k, v in self.genres_encoder.items()}
				UpperCamelCase						=  {v: k for k, v in self.lyrics_encoder.items()}



		@property
		def __UpperCamelCase				(				self )						->      str:
				"""simple docstring"""
				return len(self.artists_encoder ) + len(self.genres_encoder ) + len(self.lyrics_encoder )



		def __UpperCamelCase				(				self )						->      Tuple:
				"""simple docstring"""
				return dict(self.artists_encoder       ,   self.genres_encoder       ,   self.lyrics_encoder )



		def __UpperCamelCase				(				self       ,   A_       ,   A_       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				UpperCamelCase						=  [self.artists_encoder.get(A_       ,   0 ) for artist in list_artists]
				for genres in range(len(A_ ) ):
						UpperCamelCase						=  [self.genres_encoder.get(A_       ,   0 ) for genre in list_genres[genres]]
						UpperCamelCase						=  list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres] ))

				UpperCamelCase						=  [[self.lyrics_encoder.get(A_       ,   0 ) for character in list_lyrics[0]], [], []]
				return artists_id, list_genres, lyric_ids



		def __UpperCamelCase				(				self       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				return list(A_ )



		def __UpperCamelCase				(				self       ,   A_       ,   A_       ,   A_       ,   **A_ )						->      Optional[int]:
				"""simple docstring"""
				UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  self.prepare_for_tokenization(A_       ,   A_       ,   A_ )
				UpperCamelCase						=  self._tokenize(A_ )
				return artist, genre, lyrics



		def __UpperCamelCase				(				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":
								UpperCamelCase						=  artists[idx].lower()
								UpperCamelCase						=  [genres[idx].lower()]
						else:
								UpperCamelCase						=  self._normalize(artists[idx] ) + '.v2'
								UpperCamelCase						=  [
								    self._normalize(A_ ) + '.v2' for genre in genres[idx].split('_' )
								]  # split is for the full dictionary with combined genres

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

				UpperCamelCase						=  self._run_strip_accents(A_ )
				UpperCamelCase						=  lyrics.replace('\\'       ,   '\n' )
				UpperCamelCase						=  self.out_of_vocab.sub(''       ,   A_ ), [], []
				return artists, genres, lyrics



		def __UpperCamelCase				(				self       ,   A_ )						->      Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase						=  unicodedata.normalize('NFD'       ,   A_ )
				UpperCamelCase						=  []
				for char in text:
						UpperCamelCase						=  unicodedata.category(A_ )
						if cat == "Mn":
								continue
						output.append(A_ )
				return "".join(A_ )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  (
				    [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 )]
				    + ['.']
				)
				UpperCamelCase						=  frozenset(A_ )
				UpperCamelCase						=  re.compile(r'_+' )
				UpperCamelCase						=  ''.join([c if c in accepted else '_' for c in text.lower()] )
				UpperCamelCase						=  pattern.sub('_'       ,   A_ ).strip('_' )
				return text



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				return " ".join(A_ )



		def __UpperCamelCase				(				self       ,   A_       ,   A_ = None       ,   A_ = False )						->      Optional[int]:
				"""simple docstring"""
				# Convert to TensorType
				if not isinstance(A_       ,   A_ ):
						UpperCamelCase						=  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

						UpperCamelCase						=  tf.constant
						UpperCamelCase						=  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						=  torch.tensor
						UpperCamelCase						=  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						=  jnp.array
						UpperCamelCase						=  _is_jax
				else:
						UpperCamelCase						=  np.asarray
						UpperCamelCase						=  _is_numpy

				# Do the tensor conversion in batch

				try:
						if prepend_batch_axis:
								UpperCamelCase						=  [inputs]

						if not is_tensor(A_ ):
								UpperCamelCase						=  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"""
				UpperCamelCase						=  [0, 0, 0]
				UpperCamelCase						=  [artist] * len(self.version )
				UpperCamelCase						=  [genres] * len(self.version )

				UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  self.tokenize(A_       ,   A_       ,   A_ )
				UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  self._convert_token_to_id(A_       ,   A_       ,   A_ )

				UpperCamelCase						=  [-INFINITY] * len(full_tokens[-1] )
				UpperCamelCase						=  [
				    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 __UpperCamelCase				(				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

				UpperCamelCase						=  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_ ) )

				UpperCamelCase						=  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_ ) )

				UpperCamelCase						=  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 __UpperCamelCase				(				self       ,   A_       ,   A_       ,   A_ )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  self.artists_decoder.get(A_ )
				UpperCamelCase						=  [self.genres_decoder.get(A_ ) for genre in genres_index]
				UpperCamelCase						=  [self.lyrics_decoder.get(A_ ) for character in lyric_index]
				return artist, genres, lyrics


from string import ascii_uppercase

_UpperCAmelCase      :				Dict          = {char: i for i, char in enumerate(ascii_uppercase)}
_UpperCAmelCase      :				Tuple          = dict(enumerate(ascii_uppercase))


def    A (      lowercase					, lowercase				)     ->						str:
		'''simple docstring'''

		UpperCamelCase						=  len(lowercase				)
		UpperCamelCase						=  0
		while True:
				if x == i:
						UpperCamelCase						=  0
				if len(lowercase				) == len(lowercase				):
						break
				key += key[i]
				i += 1
		return key


def    A (      lowercase					, lowercase				)     ->						str:
		'''simple docstring'''

		UpperCamelCase						=  ''
		UpperCamelCase						=  0
		for letter in message:
				if letter == " ":
						cipher_text += " "
				else:
						UpperCamelCase						=  (dicta[letter] - dicta[key_new[i]]) % 26
						i += 1
						cipher_text += dicta[x]
		return cipher_text


def    A (      lowercase					, lowercase				)     ->						str:
		'''simple docstring'''

		UpperCamelCase						=  ''
		UpperCamelCase						=  0
		for letter in cipher_text:
				if letter == " ":
						or_txt += " "
				else:
						UpperCamelCase						=  (dicta[letter] + dicta[key_new[i]] + 26) % 26
						i += 1
						or_txt += dicta[x]
		return or_txt


def    A (      )     ->						None:
		'''simple docstring'''

		UpperCamelCase						=  'THE GERMAN ATTACK'
		UpperCamelCase						=  'SECRET'
		UpperCamelCase						=  generate_key(lowercase					, lowercase				)
		UpperCamelCase						=  cipher_text(lowercase					, lowercase				)
		print(f'''Encrypted Text = {s}'''				)
		print(f'''Original Text = {original_text(lowercase					, lowercase				)}'''				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()
