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''': 512,
}


class 			lowerCamelCase_  (     UpperCAmelCase_				):






    '''simple docstring'''






    a__			:		str      			=   VOCAB_FILES_NAMES
    a__			:		Dict      			=   PRETRAINED_VOCAB_FILES_MAP
    a__			:		Optional[Any]      			=   PRETRAINED_LYRIC_TOKENS_SIZES
    a__			:		Tuple      			=   ["""input_ids""", """attention_mask"""]







    def __init__(			self				,				__lowercase				,				__lowercase				,				__lowercase				,				__lowercase=["v3", "v2", "v2"]				,				__lowercase=512				,				__lowercase=5				,				__lowercase="<|endoftext|>"				,				**__lowercase				,				) ->			Any:
        __UpperCamelCase  :Any    						=	AddedToken(__lowercase				,				lstrip=__lowercase				,				rstrip=__lowercase) if isinstance(__lowercase				,				__lowercase) else unk_token
        super().__init__(
            unk_token=__lowercase				,				n_genres=__lowercase				,				version=__lowercase				,				max_n_lyric_tokens=__lowercase				,				**__lowercase				,				)
        __UpperCamelCase  :int    						=	version
        __UpperCamelCase  :Tuple    						=	max_n_lyric_tokens
        __UpperCamelCase  :Dict    						=	n_genres

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

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

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

        __UpperCamelCase  :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) == 79:
            __UpperCamelCase  :Dict    						=	oov.replace(r'''\-\''''				,				r'''\-+\'''')

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







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







    def     UpperCamelCase__     (			self) ->			Optional[int]:
        return dict(self.artists_encoder				,				self.genres_encoder				,				self.lyrics_encoder)







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

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







    def     UpperCamelCase__     (			self				,				__lowercase) ->			Tuple:
        return list(__lowercase)







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase				,				__lowercase				,				**__lowercase) ->			List[Any]:
        __UpperCamelCase						, __UpperCamelCase						, __UpperCamelCase  :Dict    						=	self.prepare_for_tokenization(__lowercase				,				__lowercase				,				__lowercase)
        __UpperCamelCase  :Optional[Any]    						=	self._tokenize(__lowercase)
        return artist, genre, lyrics







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

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

        __UpperCamelCase  :Union[str, Any]    						=	self._run_strip_accents(__lowercase)
        __UpperCamelCase  :int    						=	lyrics.replace('''\\'''				,				'''\n''')
        __UpperCamelCase  :str    						=	self.out_of_vocab.sub(''''''				,				__lowercase), [], []
        return artists, genres, lyrics







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







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







    def     UpperCamelCase__     (			self				,				__lowercase) ->			str:
        return " ".join(__lowercase)







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase = None				,				__lowercase = False) ->			Union[str, Any]:
        # Convert to TensorType
        if not isinstance(__lowercase				,				__lowercase):
            __UpperCamelCase  :List[str]    						=	TensorType(__lowercase)

        # 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

            __UpperCamelCase  :Any    						=	tf.constant
            __UpperCamelCase  :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

            __UpperCamelCase  :List[Any]    						=	torch.tensor
            __UpperCamelCase  :Tuple    						=	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

            __UpperCamelCase  :List[str]    						=	jnp.array
            __UpperCamelCase  :int    						=	_is_jax
        else:
            __UpperCamelCase  :int    						=	np.asarray
            __UpperCamelCase  :Any    						=	_is_numpy

        # Do the tensor conversion in batch

        try:
            if prepend_batch_axis:
                __UpperCamelCase  :List[Any]    						=	[inputs]

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

        __UpperCamelCase						, __UpperCamelCase						, __UpperCamelCase  :Tuple    						=	self.tokenize(__lowercase				,				__lowercase				,				__lowercase)
        __UpperCamelCase						, __UpperCamelCase						, __UpperCamelCase  :List[Any]    						=	self._convert_token_to_id(__lowercase				,				__lowercase				,				__lowercase)

        __UpperCamelCase  :Optional[int]    						=	[-INFINITY] * len(full_tokens[-1])
        __UpperCamelCase  :List[str]    						=	[
            self.convert_to_tensors(
                [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]				,				tensor_type=__lowercase)
            for i in range(len(self.version))
        ]
        return BatchEncoding({'''input_ids''': input_ids, '''attention_masks''': attention_masks})







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

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

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

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

        return (artists_file, genres_file, lyrics_file)







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase				,				__lowercase) ->			Optional[int]:
        __UpperCamelCase  :List[Any]    						=	self.artists_decoder.get(__lowercase)
        __UpperCamelCase  :List[Any]    						=	[self.genres_decoder.get(__lowercase) for genre in genres_index]
        __UpperCamelCase  :List[Any]    						=	[self.lyrics_decoder.get(__lowercase) for character in lyric_index]
        return artist, genres, lyrics






from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


__lowercase											=      datasets.utils.logging.get_logger(__name__)


class 			lowerCamelCase_  (     folder_based_builder.FolderBasedBuilderConfig				):






    '''simple docstring'''






    a__			:		bool      			=   None
    a__			:		bool      			=   None


class 			lowerCamelCase_  (     folder_based_builder.FolderBasedBuilder				):






    '''simple docstring'''






    a__			:		List[Any]      			=   datasets.Audio()
    a__			:		int      			=   """audio"""
    a__			:		str      			=   AudioFolderConfig
    a__			:		List[str]  # definition at the bottom of the script
    a__			:		int      			=   AudioClassification(audio_column="""audio"""		,			label_column="""label"""				)
__lowercase											=      [
    '''.aiff''',
    '''.au''',
    '''.avr''',
    '''.caf''',
    '''.flac''',
    '''.htk''',
    '''.svx''',
    '''.mat4''',
    '''.mat5''',
    '''.mpc2k''',
    '''.ogg''',
    '''.paf''',
    '''.pvf''',
    '''.raw''',
    '''.rf64''',
    '''.sd2''',
    '''.sds''',
    '''.ircam''',
    '''.voc''',
    '''.w64''',
    '''.wav''',
    '''.nist''',
    '''.wavex''',
    '''.wve''',
    '''.xi''',
    '''.mp3''',
    '''.opus''',
]
__lowercase											=      AUDIO_EXTENSIONS





