






'''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


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=						{
    'artists_file': 'artists.json',
    'lyrics_file': 'lyrics.json',
    'genres_file': 'genres.json',
}

SCREAMING_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',
    },
}

SCREAMING_SNAKE_CASE							=						{
    'jukebox': 512,
}
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      UpperCamelCase_             =      VOCAB_FILES_NAMES
      UpperCamelCase_             =      PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase_             =      PRETRAINED_LYRIC_TOKENS_SIZES
      UpperCamelCase_             =      ['''input_ids''', '''attention_mask''']






      def __init__(			self      :		str  ,   UpperCAmelCase      :		Tuple  ,   UpperCAmelCase      :		int  ,   UpperCAmelCase      :		Optional[Any]  ,   UpperCAmelCase      :		Dict=["v3", "v2", "v2"]  ,   UpperCAmelCase      :		Optional[int]=512  ,   UpperCAmelCase      :		Tuple=5  ,   UpperCAmelCase      :		Union[str, Any]="<|endoftext|>"  ,   **UpperCAmelCase      :		Tuple  ,   )	->	int:


       '''simple docstring'''

       lowercase       : int						=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  ,   )
       lowercase       : int						=version
       lowercase       : Optional[int]						=max_n_lyric_tokens
       lowercase       : Dict						=n_genres

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

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

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

       lowercase       : Union[str, 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:
        lowercase       : Dict						=oov.replace(R'''\-\''''  ,   R'''\-+\''''		)

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






      @property
      def 					A__   (			self      :		List[Any]		)	->	str:


       '''simple docstring'''

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






      def 					A__   (			self      :		Union[str, Any]		)	->	Dict:


       '''simple docstring'''

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






      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		List[Any]  ,   UpperCAmelCase      :		int  ,   UpperCAmelCase      :		Tuple		)	->	Dict:


       '''simple docstring'''

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

       lowercase       : Any						=[[self.lyrics_encoder.get(UpperCAmelCase  ,   0		) for character in list_lyrics[0]], [], []]
       return artists_id, list_genres, lyric_ids






      def 					A__   (			self      :		Dict  ,   UpperCAmelCase      :		str		)	->	Union[str, Any]:


       '''simple docstring'''

       return list(UpperCAmelCase		)






      def 					A__   (			self      :		Dict  ,   UpperCAmelCase      :		Dict  ,   UpperCAmelCase      :		List[Any]  ,   UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		Optional[int]		)	->	List[str]:


       '''simple docstring'''

       lowercase	,		lowercase	,		lowercase       : List[Any]						=self.prepare_for_tokenization(UpperCAmelCase  ,   UpperCAmelCase  ,   UpperCAmelCase		)
       lowercase       : Optional[int]						=self._tokenize(UpperCAmelCase		)
       return artist, genre, lyrics






      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		bool = False		)	->	Tuple[str, str, str, Dict[str, Any]]:


       '''simple docstring'''

       for idx in range(len(self.version		)		):
        if self.version[idx] == "v3":
         lowercase       : Optional[int]						=artists[idx].lower()
         lowercase       : List[Any]						=[genres[idx].lower()]
        else:
         lowercase       : Dict						=self._normalize(artists[idx]		) + '''.v2'''
         lowercase       : List[str]						=[
             self._normalize(UpperCAmelCase		) + '''.v2''' for genre in genres[idx].split('''_'''		)
         ]  # split is for the full dictionary with combined genres

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

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






      def 					A__   (			self      :		Optional[int]  ,   UpperCAmelCase      :		Dict		)	->	List[str]:


       '''simple docstring'''

       lowercase       : Optional[int]						=unicodedata.normalize('''NFD'''  ,   UpperCAmelCase		)
       lowercase       : Tuple						=[]
       for char in text:
        lowercase       : List[str]						=unicodedata.category(UpperCAmelCase		)
        if cat == "Mn":
         continue
        output.append(UpperCAmelCase		)
       return "".join(UpperCAmelCase		)






      def 					A__   (			self      :		Optional[int]  ,   UpperCAmelCase      :		str		)	->	str:


       '''simple docstring'''

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






      def 					A__   (			self      :		List[Any]  ,   UpperCAmelCase      :		List[str]		)	->	str:


       '''simple docstring'''

       return " ".join(UpperCAmelCase		)






      def 					A__   (			self      :		Optional[Any]  ,   UpperCAmelCase      :		Optional[int]  ,   UpperCAmelCase      :		Optional[Union[str, TensorType]] = None  ,   UpperCAmelCase      :		bool = False		)	->	Dict:


       '''simple docstring'''

       if not isinstance(UpperCAmelCase  ,   UpperCAmelCase		):
        lowercase       : Dict						=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

        lowercase       : Union[str, Any]						=tf.constant
        lowercase       : Tuple						=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       : str						=torch.tensor
        lowercase       : Union[str, 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       : List[Any]						=jnp.array
        lowercase       : Optional[Any]						=_is_jax
       else:
        lowercase       : str						=np.asarray
        lowercase       : Optional[Any]						=_is_numpy

       # Do the tensor conversion in batch

       try:
        if prepend_batch_axis:
         lowercase       : Tuple						=[inputs]

        if not is_tensor(UpperCAmelCase		):
         lowercase       : Optional[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      :		str  ,   UpperCAmelCase      :		Optional[Any]  ,   UpperCAmelCase      :		Dict  ,   UpperCAmelCase      :		Optional[Any]=""  ,   UpperCAmelCase      :		Any="pt"		)	->	BatchEncoding:


       '''simple docstring'''

       lowercase       : Tuple						=[0, 0, 0]
       lowercase       : Union[str, Any]						=[artist] * len(self.version		)
       lowercase       : List[str]						=[genres] * len(self.version		)

       lowercase	,		lowercase	,		lowercase       : Any						=self.tokenize(UpperCAmelCase  ,   UpperCAmelCase  ,   UpperCAmelCase		)
       lowercase	,		lowercase	,		lowercase       : Union[str, Any]						=self._convert_token_to_id(UpperCAmelCase  ,   UpperCAmelCase  ,   UpperCAmelCase		)

       lowercase       : Dict						=[-INFINITY] * len(full_tokens[-1]		)
       lowercase       : Optional[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 					A__   (			self      :		Tuple  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		Optional[str] = None		)	->	Tuple[str]:


       '''simple docstring'''

       if not os.path.isdir(UpperCAmelCase		):
        logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
        return

       lowercase       : Tuple						=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		)		)

       lowercase       : Optional[int]						=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		)		)

       lowercase       : Any						=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 					A__   (			self      :		Tuple  ,   UpperCAmelCase      :		Union[str, Any]  ,   UpperCAmelCase      :		Any  ,   UpperCAmelCase      :		Optional[Any]		)	->	Optional[Any]:


       '''simple docstring'''

       lowercase       : Optional[Any]						=self.artists_decoder.get(UpperCAmelCase		)
       lowercase       : Union[str, Any]						=[self.genres_decoder.get(UpperCAmelCase		) for genre in genres_index]
       lowercase       : List[Any]						=[self.lyrics_decoder.get(UpperCAmelCase		) for character in lyric_index]
       return artist, genres, lyrics





'''simple docstring'''



from manim import *




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						def    _lowercase      (   self ):

												"""simple docstring"""



												_lowerCAmelCase    		=					Rectangle(height=0.5       ,  width=0.5 )
												_lowerCAmelCase    		=					Rectangle(height=0.46       ,  width=0.46 ).set_stroke(width=0 )

												_lowerCAmelCase    		=					[mem.copy() for i in range(6 )]
												_lowerCAmelCase    		=					[mem.copy() for i in range(6 )]
												_lowerCAmelCase    		=					VGroup(*_lowercase ).arrange(_lowercase       ,  buff=0 )
												_lowerCAmelCase    		=					VGroup(*_lowercase ).arrange(_lowercase       ,  buff=0 )
												_lowerCAmelCase    		=					VGroup(_lowercase       ,  _lowercase ).arrange(_lowercase       ,  buff=0 )
												_lowerCAmelCase    		=					Text("""CPU"""       ,  font_size=24 )
												_lowerCAmelCase    		=					Group(_lowercase       ,  _lowercase ).arrange(_lowercase       ,  buff=0.5       ,  aligned_edge=_lowercase )
												cpu.move_to([-2.5, -0.5, 0] )
												self.add(_lowercase )

												_lowerCAmelCase    		=					[mem.copy() for i in range(1 )]
												_lowerCAmelCase    		=					VGroup(*_lowercase ).arrange(_lowercase       ,  buff=0 )
												_lowerCAmelCase    		=					Text("""GPU"""       ,  font_size=24 )
												_lowerCAmelCase    		=					Group(_lowercase       ,  _lowercase ).arrange(_lowercase       ,  buff=0.5       ,  aligned_edge=_lowercase )
												gpu.align_to(_lowercase       ,  _lowercase )
												gpu.set_x(gpu.get_x() - 1 )

												self.add(_lowercase )

												_lowerCAmelCase    		=					[mem.copy() for i in range(6 )]
												_lowerCAmelCase    		=					VGroup(*_lowercase ).arrange(_lowercase       ,  buff=0 )

												_lowerCAmelCase    		=					Text("""Model"""       ,  font_size=24 )
												_lowerCAmelCase    		=					Group(_lowercase       ,  _lowercase ).arrange(_lowercase       ,  buff=0.5       ,  aligned_edge=_lowercase )
												model.move_to([3, -1.0, 0] )

												self.play(
												    Create(_lowercase       ,  run_time=1 )       ,  Create(_lowercase       ,  run_time=1 )       ,  Create(_lowercase       ,  run_time=1 )       ,  )

												_lowerCAmelCase    		=					MarkupText(
												    F'First, an empty model skeleton is loaded\ninto <span fgcolor=\'{YELLOW}\'>memory</span> without using much RAM.'       ,  font_size=24       ,  )

												_lowerCAmelCase    		=					Square(side_length=2.2 )
												key.move_to([-5, 2, 0] )

												_lowerCAmelCase    		=					MarkupText(
												    F'<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model'       ,  font_size=18       ,  )

												key_text.move_to([-5, 2.4, 0] )

												step_a.move_to([2, 2, 0] )
												self.play(Write(_lowercase       ,  run_time=2.5 )       ,  Write(_lowercase )       ,  Write(_lowercase ) )

												self.add(_lowercase )

												_lowerCAmelCase    		=					[]
												_lowerCAmelCase    		=					[]
												_lowerCAmelCase    		=					[]
												for i, rect in enumerate(_lowercase ):
																		_lowerCAmelCase    		=					Rectangle(height=0.46       ,  width=0.46 ).set_stroke(width=0.0 ).set_fill(_lowercase       ,  opacity=0.7 )
																		cpu_target.move_to(_lowercase )
																		cpu_target.generate_target()
																		_lowerCAmelCase    		=					0.46 / 4
																		_lowerCAmelCase    		=					0.46 / 3

																		if i == 0:
																								cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT )       ,  buff=0.02       ,  direction=_lowercase )
																								cpu_target.target.set_x(cpu_target.target.get_x() + 0.1 )
																		elif i == 3:
																								cpu_target.target.next_to(cpu_targs[0].target       ,  direction=_lowercase       ,  buff=0.0 )
																		else:
																								cpu_target.target.next_to(cpu_targs[i - 1].target       ,  direction=_lowercase       ,  buff=0.0 )
																		cpu_targs.append(_lowercase )

																		first_animations.append(rect.animate(run_time=0.5 ).set_stroke(_lowercase ) )
																		second_animations.append(MoveToTarget(_lowercase       ,  run_time=1.5 ) )

												self.play(*_lowercase )
												self.play(*_lowercase )

												self.wait()
