






"""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_	:				Any										= logging.get_logger(__name__)

UpperCamelCase_	:				Union[str, Any]										= {
    """artists_file""": """artists.json""",
    """lyrics_file""": """lyrics.json""",
    """genres_file""": """genres.json""",
}

UpperCamelCase_	:				str										= {
    """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_	:				Union[str, Any]										= {
    """jukebox""": 512,
}


class      _lowercase (     lowerCAmelCase						):
      _a   :     Optional[int]								=   VOCAB_FILES_NAMES
      _a   :     Tuple								=   PRETRAINED_VOCAB_FILES_MAP
      _a   :     Optional[int]								=   PRETRAINED_LYRIC_TOKENS_SIZES
      _a   :     Tuple								=   ['''input_ids''', '''attention_mask''']


      def __init__(    self				:	str							,   a				:	int							,   a				:	List[Any]							,   a				:	Any							,   a				:	int=["v3", "v2", "v2"]							,   a				:	List[Any]=5_1_2							,   a				:	Any=5							,   a				:	Tuple="<|endoftext|>"							,   **a				:	Union[str, Any]							,   ):





            """simple docstring"""







            __snake_case      :    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							,   )
            __snake_case      :    Optional[int]  			=version
            __snake_case      :    int  			=max_n_lyric_tokens
            __snake_case      :    Any  			=n_genres

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

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

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

            __snake_case      :    Tuple  			=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      :    Optional[Any]  			=oov.replace(R'''\-\''''							,   R'''\-+\''''						)

            __snake_case      :    List[str]  			=regex.compile(a						)
            __snake_case      :    Optional[Any]  			={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      :    Tuple  			={v: k for k, v in self.lyrics_encoder.items()}


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







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


      def _UpperCamelCase						(    self				:	int						):





            """simple docstring"""







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


      def _UpperCamelCase						(    self				:	str							,   a				:	Optional[int]							,   a				:	List[str]							,   a				:	Tuple						):





            """simple docstring"""







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

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


      def _UpperCamelCase						(    self				:	List[str]							,   a				:	Union[str, Any]						):





            """simple docstring"""







            return list(a						)


      def _UpperCamelCase						(    self				:	Any							,   a				:	Tuple							,   a				:	Dict							,   a				:	Any							,   **a				:	Any						):





            """simple docstring"""







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


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

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

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


      def _UpperCamelCase						(    self				:	int							,   a				:	Any						):





            """simple docstring"""







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


      def _UpperCamelCase						(    self				:	int							,   a				:	str						):





            """simple docstring"""







            __snake_case      :    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						)]
                + ['''.''']
            )
            __snake_case      :    Dict  			=frozenset(a						)
            __snake_case      :    Any  			=re.compile(R'''_+'''						)
            __snake_case      :    Optional[int]  			=''''''.join([c if c in accepted else '''_''' for c in text.lower()]						)
            __snake_case      :    Tuple  			=pattern.sub('''_'''							,   a						).strip('''_'''						)
            return text


      def _UpperCamelCase						(    self				:	int							,   a				:	List[str]						):





            """simple docstring"""







            return " ".join(a						)


      def _UpperCamelCase						(    self				:	Any							,   a				:	Dict							,   a				:	Optional[Union[str, TensorType]] = None							,   a				:	bool = False						):





            """simple docstring"""







            if not isinstance(a							,   a						):
                  __snake_case      :    Optional[Any]  			=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

                  __snake_case      :    Optional[int]  			=tf.constant
                  __snake_case      :    Optional[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      :    Tuple  			=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      :    Optional[Any]  			=jnp.array
                  __snake_case      :    int  			=_is_jax
            else:
                  __snake_case      :    int  			=np.asarray
                  __snake_case      :    List[Any]  			=_is_numpy

            # Do the tensor conversion in batch

            try:
                  if prepend_batch_axis:
                        __snake_case      :    str  			=[inputs]

                  if not is_tensor(a						):
                        __snake_case      :    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				:	Tuple							,   a				:	Union[str, Any]							,   a				:	Union[str, Any]							,   a				:	Union[str, Any]=""							,   a				:	Optional[Any]="pt"						):





            """simple docstring"""







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

            __snake_case			,				__snake_case			,				__snake_case      :    Optional[int]  			=self.tokenize(a							,   a							,   a						)
            __snake_case			,				__snake_case			,				__snake_case      :    List[str]  			=self._convert_token_to_id(a							,   a							,   a						)

            __snake_case      :    Optional[int]  			=[-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=a						)
                for i in range(len(self.version						)						)
            ]
            return BatchEncoding({'''input_ids''': input_ids, '''attention_masks''': attention_masks}						)


      def _UpperCamelCase						(    self				:	str							,   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

            __snake_case      :    Any  			=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						)						)

            __snake_case      :    List[Any]  			=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						)						)

            __snake_case      :    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 _UpperCamelCase						(    self				:	int							,   a				:	Optional[int]							,   a				:	int							,   a				:	Tuple						):





            """simple docstring"""







            __snake_case      :    Tuple  			=self.artists_decoder.get(a						)
            __snake_case      :    Dict  			=[self.genres_decoder.get(a						) for genre in genres_index]
            __snake_case      :    Dict  			=[self.lyrics_decoder.get(a						) for character in lyric_index]
            return artist, genres, lyrics










"""simple docstring"""





def     __lowercase					(    a :				int       ,		a :				int )					->					int:
      return x if y == 0 else greatest_common_divisor(a       ,		x % y )



def     __lowercase					(    a :				int       ,		a :				int )					->					int:
      return (x * y) // greatest_common_divisor(a       ,		a )



def     __lowercase					(    a :				int = 20 )					->					int:
      __snake_case      :    Optional[Any]  			=1
      for i in range(1       ,		n + 1 ):
            __snake_case      :    Optional[int]  			=lcm(a       ,		a )
      return g


if __name__ == "__main__":
    print(F'''{solution() = }''')


