
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


lowercase   =	logging.get_logger(__name__)

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

lowercase   =	{
    '''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''',
    },
}

lowercase   =	{
    '''jukebox''': 5_1_2,
}





class    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE           =     PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE           =     PRETRAINED_LYRIC_TOKENS_SIZES
					SCREAMING_SNAKE_CASE           =     ['''input_ids''', '''attention_mask''']

					def __init__(						self       :  str ,       __UpperCamelCase       :  int ,       __UpperCamelCase       :  Any ,       __UpperCamelCase       :  Any ,       __UpperCamelCase       :  int=["v3", "v2", "v2"] ,       __UpperCamelCase       :  List[Any]=5_1_2 ,       __UpperCamelCase       :  Tuple=5 ,       __UpperCamelCase       :  Optional[int]="<|endoftext|>" ,       **__UpperCamelCase       :  Optional[Any] ,       ):
												lowerCamelCase_					=       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 ,       )
												lowerCamelCase_					=       version
												lowerCamelCase_					=       max_n_lyric_tokens
												lowerCamelCase_					=       n_genres

												with open(__UpperCamelCase ,       encoding="""utf-8""" ) as vocab_handle:
																			lowerCamelCase_					=       json.load(__UpperCamelCase )

												with open(__UpperCamelCase ,       encoding="""utf-8""" ) as vocab_handle:
																			lowerCamelCase_					=       json.load(__UpperCamelCase )

												with open(__UpperCamelCase ,       encoding="""utf-8""" ) as vocab_handle:
																			lowerCamelCase_					=       json.load(__UpperCamelCase )

												lowerCamelCase_					=       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:
																			lowerCamelCase_					=       oov.replace(R"""\-'""" ,       R"""\-+'""" )

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

					@property
					def  lowercase__   (						self       :  List[str] ):
												return len(self.artists_encoder ) + len(self.genres_encoder ) + len(self.lyrics_encoder )

					def  lowercase__   (						self       :  List[str] ):
												return dict(self.artists_encoder ,       self.genres_encoder ,       self.lyrics_encoder )

					def  lowercase__   (						self       :  List[Any] ,       __UpperCamelCase       :  Tuple ,       __UpperCamelCase       :  List[str] ,       __UpperCamelCase       :  Optional[Any] ):
												lowerCamelCase_					=       [self.artists_encoder.get(__UpperCamelCase ,       0 ) for artist in list_artists]
												for genres in range(len(__UpperCamelCase ) ):
																			lowerCamelCase_					=       [self.genres_encoder.get(__UpperCamelCase ,       0 ) for genre in list_genres[genres]]
																			lowerCamelCase_					=       list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres] ))

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

					def  lowercase__   (						self       :  Tuple ,       __UpperCamelCase       :  Optional[int] ):
												return list(__UpperCamelCase )

					def  lowercase__   (						self       :  str ,       __UpperCamelCase       :  List[Any] ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  Optional[Any] ,       **__UpperCamelCase       :  Any ):
												lowerCamelCase_	, lowerCamelCase_	, lowerCamelCase_					=       self.prepare_for_tokenization(__UpperCamelCase ,       __UpperCamelCase ,       __UpperCamelCase )
												lowerCamelCase_					=       self._tokenize(__UpperCamelCase )
												return artist, genre, lyrics

					def  lowercase__   (						self       :  Optional[int] ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  bool = False ):
												for idx in range(len(self.version ) ):
																			if self.version[idx] == "v3":
																										lowerCamelCase_					=       artists[idx].lower()
																										lowerCamelCase_					=       [genres[idx].lower()]
																			else:
																										lowerCamelCase_					=       self._normalize(artists[idx] ) + """.v2"""
																										lowerCamelCase_					=       [
																										    self._normalize(__UpperCamelCase ) + """.v2""" for genre in genres[idx].split("""_""" )
																										]  # split is for the full dictionary with combined genres

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

												lowerCamelCase_					=       self._run_strip_accents(__UpperCamelCase )
												lowerCamelCase_					=       lyrics.replace("""\\""" ,       """\n""" )
												lowerCamelCase_					=       self.out_of_vocab.sub("""""" ,       __UpperCamelCase ), [], []
												return artists, genres, lyrics

					def  lowercase__   (						self       :  Optional[Any] ,       __UpperCamelCase       :  List[Any] ):
												lowerCamelCase_					=       unicodedata.normalize("""NFD""" ,       __UpperCamelCase )
												lowerCamelCase_					=       []
												for char in text:
																			lowerCamelCase_					=       unicodedata.category(__UpperCamelCase )
																			if cat == "Mn":
																										continue
																			output.append(__UpperCamelCase )
												return "".join(__UpperCamelCase )

					def  lowercase__   (						self       :  List[str] ,       __UpperCamelCase       :  str ):
												lowerCamelCase_					=       (
												    [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 )]
												    + ["""."""]
												)
												lowerCamelCase_					=       frozenset(__UpperCamelCase )
												lowerCamelCase_					=       re.compile(R"""_+""" )
												lowerCamelCase_					=       """""".join([c if c in accepted else """_""" for c in text.lower()] )
												lowerCamelCase_					=       pattern.sub("""_""" ,       __UpperCamelCase ).strip("""_""" )
												return text

					def  lowercase__   (						self       :  Union[str, Any] ,       __UpperCamelCase       :  List[str] ):
												return " ".join(__UpperCamelCase )

					def  lowercase__   (						self       :  List[str] ,       __UpperCamelCase       :  int ,       __UpperCamelCase       :  Optional[Union[str, TensorType]] = None ,       __UpperCamelCase       :  bool = False ):
												# Convert to TensorType
												if not isinstance(__UpperCamelCase ,       __UpperCamelCase ):
																			lowerCamelCase_					=       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

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

												# Do the tensor conversion in batch

												try:
																			if prepend_batch_axis:
																										lowerCamelCase_					=       [inputs]

																			if not is_tensor(__UpperCamelCase ):
																										lowerCamelCase_					=       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       :  Dict ,       __UpperCamelCase       :  Union[str, Any] ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  Optional[Any]="" ,       __UpperCamelCase       :  List[Any]="pt" ):
												lowerCamelCase_					=       [0, 0, 0]
												lowerCamelCase_					=       [artist] * len(self.version )
												lowerCamelCase_					=       [genres] * len(self.version )

												lowerCamelCase_	, lowerCamelCase_	, lowerCamelCase_					=       self.tokenize(__UpperCamelCase ,       __UpperCamelCase ,       __UpperCamelCase )
												lowerCamelCase_	, lowerCamelCase_	, lowerCamelCase_					=       self._convert_token_to_id(__UpperCamelCase ,       __UpperCamelCase ,       __UpperCamelCase )

												lowerCamelCase_					=       [-INFINITY] * len(full_tokens[-1] )
												lowerCamelCase_					=       [
												    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  lowercase__   (						self       :  Optional[Any] ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  Optional[str] = None ):
												if not os.path.isdir(__UpperCamelCase ):
																			logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
																			return

												lowerCamelCase_					=       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 ) )

												lowerCamelCase_					=       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 ) )

												lowerCamelCase_					=       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  lowercase__   (						self       :  List[Any] ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  Any ,       __UpperCamelCase       :  Dict ):
												lowerCamelCase_					=       self.artists_decoder.get(__UpperCamelCase )
												lowerCamelCase_					=       [self.genres_decoder.get(__UpperCamelCase ) for genre in genres_index]
												lowerCamelCase_					=       [self.lyrics_decoder.get(__UpperCamelCase ) for character in lyric_index]
												return artist, genres, lyrics







import os
import sys

lowercase   =	os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)


from transformers import (
    AutoConfig,
    AutoModel,
    AutoModelForCausalLM,
    AutoModelForMaskedLM,
    AutoModelForQuestionAnswering,
    AutoModelForSequenceClassification,
    AutoTokenizer,
    add_start_docstrings,
)


lowercase   =	[
    '''torch''',
    '''numpy''',
    '''tokenizers''',
    '''filelock''',
    '''requests''',
    '''tqdm''',
    '''regex''',
    '''sentencepiece''',
    '''sacremoses''',
    '''importlib_metadata''',
    '''huggingface_hub''',
]



@add_start_docstrings(AutoConfig.__doc__							)
def   __lowerCAmelCase    (				*UpperCAmelCase__					:   List[Any]      ,					**UpperCAmelCase__					:   List[str]							)	->     List[str]:
							return AutoConfig.from_pretrained(*UpperCAmelCase__      ,					**UpperCAmelCase__							)



@add_start_docstrings(AutoTokenizer.__doc__							)
def   __lowerCAmelCase    (				*UpperCAmelCase__					:   List[str]      ,					**UpperCAmelCase__					:   List[Any]							)	->     Any:
							return AutoTokenizer.from_pretrained(*UpperCAmelCase__      ,					**UpperCAmelCase__							)



@add_start_docstrings(AutoModel.__doc__							)
def   __lowerCAmelCase    (				*UpperCAmelCase__					:   Union[str, Any]      ,					**UpperCAmelCase__					:   Dict							)	->     Union[str, Any]:
							return AutoModel.from_pretrained(*UpperCAmelCase__      ,					**UpperCAmelCase__							)



@add_start_docstrings(AutoModelForCausalLM.__doc__							)
def   __lowerCAmelCase    (				*UpperCAmelCase__					:   List[str]      ,					**UpperCAmelCase__					:   List[Any]							)	->     Optional[Any]:
							return AutoModelForCausalLM.from_pretrained(*UpperCAmelCase__      ,					**UpperCAmelCase__							)



@add_start_docstrings(AutoModelForMaskedLM.__doc__							)
def   __lowerCAmelCase    (				*UpperCAmelCase__					:   Union[str, Any]      ,					**UpperCAmelCase__					:   Dict							)	->     int:
							return AutoModelForMaskedLM.from_pretrained(*UpperCAmelCase__      ,					**UpperCAmelCase__							)



@add_start_docstrings(AutoModelForSequenceClassification.__doc__							)
def   __lowerCAmelCase    (				*UpperCAmelCase__					:   List[Any]      ,					**UpperCAmelCase__					:   Dict							)	->     Dict:
							return AutoModelForSequenceClassification.from_pretrained(*UpperCAmelCase__      ,					**UpperCAmelCase__							)



@add_start_docstrings(AutoModelForQuestionAnswering.__doc__							)
def   __lowerCAmelCase    (				*UpperCAmelCase__					:   Any      ,					**UpperCAmelCase__					:   List[str]							)	->     Union[str, Any]:
							return AutoModelForQuestionAnswering.from_pretrained(*UpperCAmelCase__      ,					**UpperCAmelCase__							)





