



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_   :List[Any]        =      logging.get_logger(__name__)

a_   :Union[str, Any]        =      {
    "artists_file": "artists.json",
    "lyrics_file": "lyrics.json",
    "genres_file": "genres.json",
}

a_   :Tuple        =      {
    "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_   :Optional[int]        =      {
    "jukebox": 512,
}




class 					snake_case__						(       lowerCAmelCase_     ):






     """simple docstring"""


     _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  :  Union[str, Any], _snake_case  :  Optional[int], _snake_case  :  int, _snake_case  :  str, _snake_case  :  Optional[int]=["v3", "v2", "v2"], _snake_case  :  List[str]=5_1_2, _snake_case  :  List[Any]=5, _snake_case  :  Tuple="<|endoftext|>", **_snake_case  :  Tuple, )   ->Optional[int]:
            snake_case__							:	str   	=	AddedToken(_snake_case, lstrip=_snake_case, rstrip=_snake_case					) if isinstance(_snake_case, _snake_case					) else unk_token
            super().__init__(
                unk_token=_snake_case, n_genres=_snake_case, version=_snake_case, max_n_lyric_tokens=_snake_case, **_snake_case, )
            snake_case__							:	Optional[Any]   	=	version
            snake_case__							:	int   	=	max_n_lyric_tokens
            snake_case__							:	Optional[Any]   	=	n_genres

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

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

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

            snake_case__							:	str   	=	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:
                   snake_case__							:	int   	=	oov.replace(R'\-\'', R'\-+\''					)

            snake_case__							:	int   	=	regex.compile(_snake_case					)
            snake_case__							:	Tuple   	=	{v: k for k, v in self.artists_encoder.items()}
            snake_case__							:	List[str]   	=	{v: k for k, v in self.genres_encoder.items()}
            snake_case__							:	Any   	=	{v: k for k, v in self.lyrics_encoder.items()}






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






     def    lowercase_   (       self  :  int					)   ->List[str]:
            return dict(self.artists_encoder, self.genres_encoder, self.lyrics_encoder					)






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

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






     def    lowercase_   (       self  :  List[Any], _snake_case  :  Optional[int]					)   ->Union[str, Any]:
            return list(_snake_case					)






     def    lowercase_   (       self  :  Optional[int], _snake_case  :  Tuple, _snake_case  :  Union[str, Any], _snake_case  :  Union[str, Any], **_snake_case  :  str					)   ->List[Any]:
            snake_case__	,				snake_case__	,				snake_case__							:	Any   	=	self.prepare_for_tokenization(_snake_case, _snake_case, _snake_case					)
            snake_case__							:	Optional[Any]   	=	self._tokenize(_snake_case					)
            return artist, genre, lyrics






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

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

            snake_case__							:	Any   	=	self._run_strip_accents(_snake_case					)
            snake_case__							:	Optional[Any]   	=	lyrics.replace('\\', '\n'					)
            snake_case__							:	int   	=	self.out_of_vocab.sub('', _snake_case					), [], []
            return artists, genres, lyrics






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






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






     def    lowercase_   (       self  :  Optional[Any], _snake_case  :  List[str]					)   ->str:
            return " ".join(_snake_case					)






     def    lowercase_   (       self  :  Any, _snake_case  :  Tuple, _snake_case  :  Optional[Union[str, TensorType]] = None, _snake_case  :  bool = False					)   ->List[str]:
            # Convert to TensorType
            if not isinstance(_snake_case, _snake_case					):
                   snake_case__							:	Optional[Any]   	=	TensorType(_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

                   snake_case__							:	str   	=	tf.constant
                   snake_case__							:	List[str]   	=	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

                   snake_case__							:	int   	=	torch.tensor
                   snake_case__							:	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

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

            # Do the tensor conversion in batch

            try:
                   if prepend_batch_axis:
                          snake_case__							:	int   	=	[inputs]

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

            snake_case__	,				snake_case__	,				snake_case__							:	int   	=	self.tokenize(_snake_case, _snake_case, _snake_case					)
            snake_case__	,				snake_case__	,				snake_case__							:	int   	=	self._convert_token_to_id(_snake_case, _snake_case, _snake_case					)

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






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

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

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

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

            return (artists_file, genres_file, lyrics_file)






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











import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class 					snake_case__						(       lowerCAmelCase_				,     unittest.TestCase     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	TransfoXLTokenizer
     _SCREAMING_SNAKE_CASE						=	False
     _SCREAMING_SNAKE_CASE						=	False






     def    lowercase_   (       self  :  Optional[int]					)   ->Any:
            super().setUp()

            snake_case__							:	Tuple   	=	[
                '<unk>',
                '[CLS]',
                '[SEP]',
                'want',
                'unwanted',
                'wa',
                'un',
                'running',
                ',',
                'low',
                'l',
            ]
            snake_case__							:	Any   	=	os.path.join(self.tmpdirname, VOCAB_FILES_NAMES['vocab_file']					)
            with open(self.vocab_file, 'w', encoding='utf-8'					) as vocab_writer:
                   vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]					)					)






     def    lowercase_   (       self  :  Union[str, Any], **_snake_case  :  List[Any]					)   ->Dict:
            snake_case__							:	str   	=	True
            return TransfoXLTokenizer.from_pretrained(self.tmpdirname, **_snake_case					)






     def    lowercase_   (       self  :  Optional[Any], _snake_case  :  str					)   ->Dict:
            snake_case__							:	List[Any]   	=	'<unk> UNwanted , running'
            snake_case__							:	List[Any]   	=	'<unk> unwanted, running'
            return input_text, output_text






     def    lowercase_   (       self  :  List[Any]					)   ->Tuple:
            snake_case__							:	Dict   	=	TransfoXLTokenizer(vocab_file=self.vocab_file, lower_case=_snake_case					)

            snake_case__							:	str   	=	tokenizer.tokenize('<unk> UNwanted , running'					)
            self.assertListEqual(_snake_case, ['<unk>', 'unwanted', ',', 'running']					)

            self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case					), [0, 4, 8, 7]					)






     def    lowercase_   (       self  :  List[str]					)   ->List[Any]:
            snake_case__							:	str   	=	TransfoXLTokenizer(lower_case=_snake_case					)

            self.assertListEqual(
                tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  '					), ['hello', '!', 'how', 'are', 'you', '?']					)






     def    lowercase_   (       self  :  Optional[int]					)   ->Optional[Any]:
            snake_case__							:	Optional[int]   	=	TransfoXLTokenizer(lower_case=_snake_case					)

            self.assertListEqual(
                tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  '					), ['HeLLo', '!', 'how', 'Are', 'yoU', '?']					)






     def    lowercase_   (       self  :  Optional[int]					)   ->Union[str, Any]:
            snake_case__							:	List[Any]   	=	TransfoXLTokenizer(lower_case=_snake_case					)
            snake_case__							:	Dict   	=	'Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'
            snake_case__							:	List[Any]   	=	[
                'Hello',
                '(',
                'bracket',
                ')',
                'and',
                'side',
                '@-@',
                'scrolled',
                '[',
                'and',
                ']',
                'Henry',
                '\'s',
                '$',
                '5',
                '@,@',
                '000',
                'with',
                '3',
                '@.@',
                '34',
                'm',
                '.',
                'What',
                '\'s',
                'up',
                '!',
                '?',
            ]

            self.assertListEqual(tokenizer.tokenize(_snake_case					), _snake_case					)

            self.assertEqual(tokenizer.convert_tokens_to_string(_snake_case					), _snake_case					)






     def    lowercase_   (       self  :  Dict					)   ->Any:
            snake_case__							:	Dict   	=	self.get_tokenizer()
            snake_case__							:	Optional[Any]   	=	len(_snake_case					)

            tokenizer.add_tokens(['new1', 'new2']					)
            tokenizer.move_added_token('new1', 1					)

            # Check that moved token is not copied (duplicate)
            self.assertEqual(len(_snake_case					), original_len + 2					)
            # Check that token is moved to specified id
            self.assertEqual(tokenizer.encode('new1'					), [1]					)
            self.assertEqual(tokenizer.decode([1]					), 'new1'					)






