


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


lowerCAmelCase__			:      str								=logging.get_logger(__name__)

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

lowerCAmelCase__			:      str								={
    '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',
    },
}

lowerCAmelCase__			:      Optional[Any]								={
    'jukebox': 5_12,
}







class 	__lowercase    (__SCREAMING_SNAKE_CASE  ):





							"""simple docstring"""







							_UpperCAmelCase      =						VOCAB_FILES_NAMES
							_UpperCAmelCase      =						PRETRAINED_VOCAB_FILES_MAP
							_UpperCAmelCase      =						PRETRAINED_LYRIC_TOKENS_SIZES
							_UpperCAmelCase      =						["""input_ids""", """attention_mask"""]






							def __init__(      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__=["v3", "v2", "v2"]			,						lowerCAmelCase__=5_1_2			,						lowerCAmelCase__=5			,						lowerCAmelCase__="<|endoftext|>"			,						**lowerCAmelCase__			,						):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Any					=					AddedToken(lowerCAmelCase__			,						lstrip=lowerCAmelCase__			,						rstrip=lowerCAmelCase__       ) if isinstance(lowerCAmelCase__			,						lowerCAmelCase__       ) else unk_token
										super().__init__(
										    unk_token=lowerCAmelCase__			,						n_genres=lowerCAmelCase__			,						version=lowerCAmelCase__			,						max_n_lyric_tokens=lowerCAmelCase__			,						**lowerCAmelCase__			,						)
										SCREAMING_SNAKE_CASE_		:     Dict					=					version
										SCREAMING_SNAKE_CASE_		:     Any					=					max_n_lyric_tokens
										SCREAMING_SNAKE_CASE_		:     Tuple					=					n_genres

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

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

										with open(lowerCAmelCase__			,						encoding='utf-8'       ) as vocab_handle:
													SCREAMING_SNAKE_CASE_		:     str					=					json.load(lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     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       ) == 7_9:
													SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					oov.replace(r'\-\''			,						r'\-+\''       )

										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					regex.compile(lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					{v: k for k, v in self.artists_encoder.items()}
										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					{v: k for k, v in self.genres_encoder.items()}
										SCREAMING_SNAKE_CASE_		:     Tuple					=					{v: k for k, v in self.lyrics_encoder.items()}






							@property
							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




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

										SCREAMING_SNAKE_CASE_		:     List[str]					=					[[self.lyrics_encoder.get(lowerCAmelCase__			,						0       ) for character in list_lyrics[0]], [], []]
										return artists_id, list_genres, lyric_ids






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										return list(lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						**lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__ = False       ):





										"""simple docstring"""




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

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

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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										return " ".join(lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__ = None			,						lowerCAmelCase__ = False       ):





										"""simple docstring"""




										if not isinstance(lowerCAmelCase__			,						lowerCAmelCase__       ):
													SCREAMING_SNAKE_CASE_		:     str					=					TensorType(lowerCAmelCase__       )

										# 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

													SCREAMING_SNAKE_CASE_		:     Optional[int]					=					tf.constant
													SCREAMING_SNAKE_CASE_		:     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

													SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					torch.tensor
													SCREAMING_SNAKE_CASE_		:     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

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

										# Do the tensor conversion in batch

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

													if not is_tensor(lowerCAmelCase__       ):
																SCREAMING_SNAKE_CASE_		:     Dict					=					as_tensor(lowerCAmelCase__       )
										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			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__=""			,						lowerCAmelCase__="pt"       ):





										"""simple docstring"""




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

										SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		:     Tuple					=					self.tokenize(lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					self._convert_token_to_id(lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__       )

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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__ = None       ):





										"""simple docstring"""




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

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

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

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

										return (artists_file, genres_file, lyrics_file)






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Dict					=					self.artists_decoder.get(lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     int					=					[self.genres_decoder.get(lowerCAmelCase__       ) for genre in genres_index]
										SCREAMING_SNAKE_CASE_		:     int					=					[self.lyrics_decoder.get(lowerCAmelCase__       ) for character in lyric_index]
										return artist, genres, lyrics












import os

import pytest

from transformers.dynamic_module_utils import get_imports


UpperCamelCase__           =			"\nimport os\n"

UpperCamelCase__           =			"\ndef foo():\n    import os\n    return False\n"

UpperCamelCase__           =			"\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n"

UpperCamelCase__           =			[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]





@pytest.mark.parametrize("""case""" ,      a__							)
def      _UpperCamelCase  (a__ :Any ,      a__ :Optional[Any]							):






							"""simple docstring"""





							UpperCamelCase__					  =      os.path.join(a__ ,      """test_file.py"""							)
							with open(a__ ,      """w"""							) as _tmp_file:
														_tmp_file.write(a__							)

							UpperCamelCase__					  =      get_imports(a__							)
							assert parsed_imports == ["os"]




