




"""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__						=			logging.get_logger(__name__)

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

UpperCamelCase__						=			{
    '''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__						=			{
    '''jukebox''': 5_1_2,
}




class   a__			(       UpperCamelCase_  ):
						snake_case__             = VOCAB_FILES_NAMES
						snake_case__             = PRETRAINED_VOCAB_FILES_MAP
						snake_case__             = PRETRAINED_LYRIC_TOKENS_SIZES
						snake_case__             = ['''input_ids''', '''attention_mask''']





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




											"""simple docstring"""







											_lowerCAmelCase:Optional[int]									=  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__     ,)
											_lowerCAmelCase:int									=  version
											_lowerCAmelCase:Tuple									=  max_n_lyric_tokens
											_lowerCAmelCase:Any									=  n_genres

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

											with open(a__     ,encoding='''utf-8''') as vocab_handle:
																_lowerCAmelCase:Dict									=  json.load(a__)

											with open(a__     ,encoding='''utf-8''') as vocab_handle:
																_lowerCAmelCase:Optional[Any]									=  json.load(a__)

											_lowerCAmelCase:Optional[int]									=  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:Union[str, Any]									=  oov.replace(R'''\-\''''     ,R'''\-+\'''')

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





						@property
						def       __UpperCamelCase     (							self      :	Dict)						->       str:




											"""simple docstring"""







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





						def       __UpperCamelCase     (							self      :	List[str])						->       str:




											"""simple docstring"""







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





						def       __UpperCamelCase     (							self      :	int     ,a__      :	Union[str, Any]     ,a__      :	Optional[Any]     ,a__      :	Union[str, Any])						->       int:




											"""simple docstring"""







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

											_lowerCAmelCase:int									=  [[self.lyrics_encoder.get(a__     ,0) for character in list_lyrics[0]], [], []]
											return artists_id, list_genres, lyric_ids





						def       __UpperCamelCase     (							self      :	str     ,a__      :	int)						->       int:




											"""simple docstring"""







											return list(a__)





						def       __UpperCamelCase     (							self      :	Union[str, Any]     ,a__      :	str     ,a__      :	int     ,a__      :	int     ,**a__      :	Union[str, Any])						->       int:




											"""simple docstring"""







											_lowerCAmelCase							,   _lowerCAmelCase							,   _lowerCAmelCase:Optional[Any]									=  self.prepare_for_tokenization(a__     ,a__     ,a__)
											_lowerCAmelCase:List[str]									=  self._tokenize(a__)
											return artist, genre, lyrics





						def       __UpperCamelCase     (							self      :	Optional[int]     ,a__      :	str     ,a__      :	str     ,a__      :	str     ,a__      :	bool = False)						->       Tuple[str, str, str, Dict[str, Any]]:




											"""simple docstring"""







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

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

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





						def       __UpperCamelCase     (							self      :	str     ,a__      :	Dict)						->       Optional[Any]:




											"""simple docstring"""







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





						def       __UpperCamelCase     (							self      :	Any     ,a__      :	str)						->       str:




											"""simple docstring"""







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





						def       __UpperCamelCase     (							self      :	Optional[int]     ,a__      :	List[str])						->       str:




											"""simple docstring"""







											return " ".join(a__)





						def       __UpperCamelCase     (							self      :	Tuple     ,a__      :	List[str]     ,a__      :	Optional[Union[str, TensorType]] = None     ,a__      :	bool = False)						->       List[Any]:




											"""simple docstring"""







											if not isinstance(a__     ,a__):
																_lowerCAmelCase: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

																_lowerCAmelCase:List[str]									=  tf.constant
																_lowerCAmelCase:Union[str, 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[int]									=  torch.tensor
																_lowerCAmelCase:Dict									=  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:List[str]									=  jnp.array
																_lowerCAmelCase:Any									=  _is_jax
											else:
																_lowerCAmelCase:List[Any]									=  np.asarray
																_lowerCAmelCase:Any									=  _is_numpy

											# Do the tensor conversion in batch

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

																if not is_tensor(a__):
																					_lowerCAmelCase:Optional[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      :	Optional[int]     ,a__      :	Optional[Any]     ,a__      :	Optional[Any]     ,a__      :	List[str]=""     ,a__      :	str="pt")						->       BatchEncoding:




											"""simple docstring"""







											_lowerCAmelCase:Optional[Any]									=  [0, 0, 0]
											_lowerCAmelCase:Any									=  [artist] * len(self.version)
											_lowerCAmelCase:int									=  [genres] * len(self.version)

											_lowerCAmelCase							,   _lowerCAmelCase							,   _lowerCAmelCase:str									=  self.tokenize(a__     ,a__     ,a__)
											_lowerCAmelCase							,   _lowerCAmelCase							,   _lowerCAmelCase:List[Any]									=  self._convert_token_to_id(a__     ,a__     ,a__)

											_lowerCAmelCase:Dict									=  [-INFINITY] * len(full_tokens[-1])
											_lowerCAmelCase:Tuple									=  [
											    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      :	List[Any]     ,a__      :	str     ,a__      :	Optional[str] = None)						->       Tuple[str]:




											"""simple docstring"""







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

											_lowerCAmelCase:Dict									=  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__))

											_lowerCAmelCase:int									=  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__))

											_lowerCAmelCase:Union[str, Any]									=  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      :	Optional[Any]     ,a__      :	str     ,a__      :	List[Any]     ,a__      :	str)						->       Any:




											"""simple docstring"""







											_lowerCAmelCase:Any									=  self.artists_decoder.get(a__)
											_lowerCAmelCase:str									=  [self.genres_decoder.get(a__) for genre in genres_index]
											_lowerCAmelCase:str									=  [self.lyrics_decoder.get(a__) for character in lyric_index]
											return artist, genres, lyrics












"""simple docstring"""






from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import torch

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available




@dataclass
class   a__			(       UpperCamelCase_  ):
						snake_case__             = 42


try:
				if not (is_transformers_available() and is_torch_available()):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
				from .pipeline_text_to_video_synth import TextToVideoSDPipeline
				from .pipeline_text_to_video_synth_imgaimg import VideoToVideoSDPipeline  # noqa: F401
				from .pipeline_text_to_video_zero import TextToVideoZeroPipeline






