


'''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__		:					str												=  logging.get_logger(__name__)

A__		:					List[Any]												=  {
    """artists_file""": """artists.json""",
    """lyrics_file""": """lyrics.json""",
    """genres_file""": """genres.json""",
}

A__		:					Any												=  {
    """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__		:					Dict												=  {
    """jukebox""": 512,
}





class    UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  :					List[str]							     =			VOCAB_FILES_NAMES
    lowerCamelCase  :					List[str]							     =			PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase  :					Any							     =			PRETRAINED_LYRIC_TOKENS_SIZES
    lowerCamelCase  :					Any							     =			['input_ids', 'attention_mask']







    def __init__(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_=["v3", "v2", "v2"]			,     SCREAMING_SNAKE_CASE_=5_12			,     SCREAMING_SNAKE_CASE_=5			,     SCREAMING_SNAKE_CASE_="<|endoftext|>"			,     **SCREAMING_SNAKE_CASE_			,     )				->     str:
         __lowerCamelCase   :	Optional[int]								=		AddedToken(SCREAMING_SNAKE_CASE_			,     lstrip=SCREAMING_SNAKE_CASE_			,     rstrip=SCREAMING_SNAKE_CASE_	) if isinstance(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	) else unk_token
         super().__init__(
             unk_token=SCREAMING_SNAKE_CASE_			,     n_genres=SCREAMING_SNAKE_CASE_			,     version=SCREAMING_SNAKE_CASE_			,     max_n_lyric_tokens=SCREAMING_SNAKE_CASE_			,     **SCREAMING_SNAKE_CASE_			,     )
         __lowerCamelCase   :	Union[str, Any]								=		version
         __lowerCamelCase   :	Union[str, Any]								=		max_n_lyric_tokens
         __lowerCamelCase   :	Dict								=		n_genres

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

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

         with open(SCREAMING_SNAKE_CASE_			,     encoding='utf-8'	) as vocab_handle:
              __lowerCamelCase   :	int								=		json.load(SCREAMING_SNAKE_CASE_	)

         __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   :	List[str]								=		oov.replace(r'\-\''			,     r'\-+\''	)

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







    @property
    def       lowercase_				(							self	)				->     str:
         return len(self.artists_encoder	) + len(self.genres_encoder	) + len(self.lyrics_encoder	)







    def       lowercase_				(							self	)				->     Tuple:
         return dict(self.artists_encoder			,     self.genres_encoder			,     self.lyrics_encoder	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)				->     List[str]:
         __lowerCamelCase   :	List[str]								=		[self.artists_encoder.get(SCREAMING_SNAKE_CASE_			,     0	) for artist in list_artists]
         for genres in range(len(SCREAMING_SNAKE_CASE_	)	):
              __lowerCamelCase   :	str								=		[self.genres_encoder.get(SCREAMING_SNAKE_CASE_			,     0	) for genre in list_genres[genres]]
              __lowerCamelCase   :	Optional[int]								=		list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]	))

         __lowerCamelCase   :	Tuple								=		[[self.lyrics_encoder.get(SCREAMING_SNAKE_CASE_			,     0	) for character in list_lyrics[0]], [], []]
         return artists_id, list_genres, lyric_ids







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     Union[str, Any]:
         return list(SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     **SCREAMING_SNAKE_CASE_	)				->     int:
         __lowerCamelCase				,       __lowerCamelCase				,       __lowerCamelCase   :	str								=		self.prepare_for_tokenization(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	List[Any]								=		self._tokenize(SCREAMING_SNAKE_CASE_	)
         return artist, genre, lyrics







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_ = False	)				->     Tuple[str, str, str, Dict[str, Any]]:
         for idx in range(len(self.version	)	):
              if self.version[idx] == "v3":
                   __lowerCamelCase   :	Union[str, Any]								=		artists[idx].lower()
                   __lowerCamelCase   :	Any								=		[genres[idx].lower()]
              else:
                   __lowerCamelCase   :	Any								=		self._normalize(artists[idx]	) + '.v2'
                   __lowerCamelCase   :	Optional[int]								=		[
                       self._normalize(SCREAMING_SNAKE_CASE_	) + '.v2' for genre in genres[idx].split('_'	)
                   ]  # split is for the full dictionary with combined genres

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

         __lowerCamelCase   :	List[Any]								=		self._run_strip_accents(SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	List[Any]								=		lyrics.replace('\\'			,     '\n'	)
         __lowerCamelCase   :	List[str]								=		self.out_of_vocab.sub(''			,     SCREAMING_SNAKE_CASE_	), [], []
         return artists, genres, lyrics







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     Optional[int]:
         __lowerCamelCase   :	Optional[Any]								=		unicodedata.normalize('NFD'			,     SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	Optional[Any]								=		[]
         for char in text:
              __lowerCamelCase   :	List[str]								=		unicodedata.category(SCREAMING_SNAKE_CASE_	)
              if cat == "Mn":
                   continue
              output.append(SCREAMING_SNAKE_CASE_	)
         return "".join(SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     str:
         __lowerCamelCase   :	Tuple								=		(
             [chr(SCREAMING_SNAKE_CASE_	) for i in range(ord('a'	)			,     ord('z'	) + 1	)]
             + [chr(SCREAMING_SNAKE_CASE_	) for i in range(ord('A'	)			,     ord('Z'	) + 1	)]
             + [chr(SCREAMING_SNAKE_CASE_	) for i in range(ord('0'	)			,     ord('9'	) + 1	)]
             + ['.']
         )
         __lowerCamelCase   :	List[Any]								=		frozenset(SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	Any								=		re.compile(r'_+'	)
         __lowerCamelCase   :	str								=		''.join([c if c in accepted else '_' for c in text.lower()]	)
         __lowerCamelCase   :	List[Any]								=		pattern.sub('_'			,     SCREAMING_SNAKE_CASE_	).strip('_'	)
         return text







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     str:
         return " ".join(SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_ = None			,     SCREAMING_SNAKE_CASE_ = False	)				->     Union[str, Any]:
         # Convert to TensorType
         if not isinstance(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	):
              __lowerCamelCase   :	Union[str, Any]								=		TensorType(SCREAMING_SNAKE_CASE_	)

         # 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   :	List[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   :	Optional[Any]								=		torch.tensor
              __lowerCamelCase   :	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

              __lowerCamelCase   :	Tuple								=		jnp.array
              __lowerCamelCase   :	Dict								=		_is_jax
         else:
              __lowerCamelCase   :	Any								=		np.asarray
              __lowerCamelCase   :	Tuple								=		_is_numpy

         # Do the tensor conversion in batch

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

              if not is_tensor(SCREAMING_SNAKE_CASE_	):
                   __lowerCamelCase   :	List[str]								=		as_tensor(SCREAMING_SNAKE_CASE_	)
         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			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_=""			,     SCREAMING_SNAKE_CASE_="pt"	)				->     BatchEncoding:
         __lowerCamelCase   :	int								=		[0, 0, 0]
         __lowerCamelCase   :	Optional[int]								=		[artist] * len(self.version	)
         __lowerCamelCase   :	List[Any]								=		[genres] * len(self.version	)

         __lowerCamelCase				,       __lowerCamelCase				,       __lowerCamelCase   :	Tuple								=		self.tokenize(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase				,       __lowerCamelCase				,       __lowerCamelCase   :	int								=		self._convert_token_to_id(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)

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







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_ = None	)				->     Tuple[str]:
         if not os.path.isdir(SCREAMING_SNAKE_CASE_	):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
              return

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

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

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

         return (artists_file, genres_file, lyrics_file)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)				->     List[str]:
         __lowerCamelCase   :	Any								=		self.artists_decoder.get(SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	List[str]								=		[self.genres_decoder.get(SCREAMING_SNAKE_CASE_	) for genre in genres_index]
         __lowerCamelCase   :	Optional[Any]								=		[self.lyrics_decoder.get(SCREAMING_SNAKE_CASE_	) for character in lyric_index]
         return artist, genres, lyrics










'''simple docstring'''



A__		:					Any												=  8.3_1_4_4_6_2  # Unit - J mol-1 K-1



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float							)     ->		float:
     if moles < 0 or kelvin < 0 or volume < 0:
          raise ValueError('Invalid inputs. Enter positive value.'							)
     return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float							)     ->		float:
     if moles < 0 or kelvin < 0 or pressure < 0:
          raise ValueError('Invalid inputs. Enter positive value.'							)
     return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


if __name__ == "__main__":
      from doctest import testmod

      testmod()






