




'''simple docstring'''
import numpy as np  # noqa: E402

from ...configuration_utils import ConfigMixin, register_to_config
from ...schedulers.scheduling_utils import SchedulerMixin


try:
							import librosa  # noqa: E402

							_SCREAMING_SNAKE_CASE =	True
							_SCREAMING_SNAKE_CASE =	""
except Exception as e:
							_SCREAMING_SNAKE_CASE =	False
							_SCREAMING_SNAKE_CASE =	(
							    f"""Cannot import librosa because {e}. Make sure to correctly install librosa to be able to install it."""
							)


from PIL import Image  # noqa: E402
class      __UpperCAmelCase							(    lowerCAmelCase ,lowerCAmelCase							):



					'''simple docstring'''





					_UpperCamelCase  	=		"""mel_config.json"""



					@register_to_config
					def __init__(  self    :	int			,					_lowercase    :	int = 256			,					_lowercase    :	int = 256			,					_lowercase    :	int = 22_050			,					_lowercase    :	int = 2_048			,					_lowercase    :	int = 512			,					_lowercase    :	int = 80			,					_lowercase    :	int = 32			,					)						->       List[str]:
								A_       		=   hop_length
								A_       		=   sample_rate
								A_       		=   n_fft
								A_       		=   top_db
								A_       		=   n_iter
								self.set_resolution(_lowercase			,					_lowercase)
								A_       		=   None

								if not _librosa_can_be_imported:
											raise ValueError(_import_error)



					def 						__snake_case	(  self    :	str			,					_lowercase    :	int			,					_lowercase    :	int)						->       Union[str, Any]:
								A_       		=   x_res
								A_       		=   y_res
								A_       		=   self.y_res
								A_       		=   self.x_res * self.hop_length - 1



					def 						__snake_case	(  self    :	Optional[int]			,					_lowercase    :	str = None			,					_lowercase    :	np.ndarray = None)						->       int:
								if audio_file is not None:
											A_		,   A_       		=   librosa.load(_lowercase			,					mono=_lowercase			,					sr=self.sr)
								else:
											A_       		=   raw_audio

								# Pad with silence if necessary.
								if len(self.audio) < self.x_res * self.hop_length:
											A_       		=   np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio),))])



					def 						__snake_case	(  self    :	str)						->       int:
								return len(self.audio) // self.slice_size



					def 						__snake_case	(  self    :	Union[str, Any]			,					_lowercase    :	int = 0)						->       np.ndarray:
								return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]



					def 						__snake_case	(  self    :	Optional[Any])						->       int:
								return self.sr



					def 						__snake_case	(  self    :	Union[str, Any]			,					_lowercase    :	int)						->       Image.Image:
								A_       		=   librosa.feature.melspectrogram(
								    y=self.get_audio_slice(_lowercase)			,					sr=self.sr			,					n_fft=self.n_fft			,					hop_length=self.hop_length			,					n_mels=self.n_mels)
								A_       		=   librosa.power_to_db(_lowercase			,					ref=np.max			,					top_db=self.top_db)
								A_       		=   (((log_S + self.top_db) * 255 / self.top_db).clip(0			,					255) + 0.5).astype(np.uinta)
								A_       		=   Image.fromarray(_lowercase)
								return image



					def 						__snake_case	(  self    :	Union[str, Any]			,					_lowercase    :	Image.Image)						->       np.ndarray:
								A_       		=   np.frombuffer(image.tobytes()			,					dtype='uint8').reshape((image.height, image.width))
								A_       		=   bytedata.astype('float') * self.top_db / 255 - self.top_db
								A_       		=   librosa.db_to_power(_lowercase)
								A_       		=   librosa.feature.inverse.mel_to_audio(
								    _lowercase			,					sr=self.sr			,					n_fft=self.n_fft			,					hop_length=self.hop_length			,					n_iter=self.n_iter)
								return audio











'''simple docstring'''
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_SCREAMING_SNAKE_CASE =	logging.get_logger(__name__)
class      __UpperCAmelCase							(    lowerCAmelCase							):



					'''simple docstring'''





					_UpperCamelCase  	=		["""input_ids""", """attention_mask"""]



					def __init__(  self    :	str			,					_lowercase    :	List[Any]="[PAD]"			,					_lowercase    :	Any="[BOS]"			,					_lowercase    :	Any="[EOS]"			,					_lowercase    :	str="[MASK]"			,					_lowercase    :	str="[CLS]"			,					_lowercase    :	Optional[Any]="[SEP]"			,					_lowercase    :	List[str]=2_048			,					**_lowercase    :	int			,					)						->       None:
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else pad_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else bos_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else eos_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else mask_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else cls_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else sep_token

								super().__init__(
								    pad_token=_lowercase			,					bos_token=_lowercase			,					eos_token=_lowercase			,					mask_token=_lowercase			,					cls_token=_lowercase			,					sep_token=_lowercase			,					model_max_length=_lowercase			,					**_lowercase			,					)

								A_       		=   2**8  # utf is 8 bits

								# define special tokens dict
								A_       		=   {
								    self.pad_token: 0,
								    self.bos_token: 1,
								    self.eos_token: 2,
								    self.mask_token: 3,
								    self.cls_token: 4,
								    self.sep_token: 5,
								}
								A_       		=   len(self.special_tokens_encoder)
								A_       		=   {v: k for k, v in self.special_tokens_encoder.items()}



					def 						__snake_case	(  self    :	List[str])						->       Dict[str, int]:
								A_       		=   self.special_tokens_encoder.copy()
								vocab.update(self.added_tokens_encoder)
								for i in range(self._utf_vocab_size):
											A_       		=   chr(_lowercase)
											A_       		=   i + len(self.special_tokens_encoder)
								return vocab



					@property
					def 						__snake_case	(  self    :	int)						->       Dict:
								return self._utf_vocab_size + self._num_special_tokens



					def 						__snake_case	(  self    :	Union[str, Any]			,					_lowercase    :	List[int]			,					_lowercase    :	Optional[List[int]] = None			,					_lowercase    :	bool = False)						->       List[int]:
								if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=_lowercase			,					token_ids_a=_lowercase			,					already_has_special_tokens=_lowercase)

								# normal case: some special tokens
								if token_ids_a is None:
											return [1] + [0] * len(_lowercase) + [1]
								return [1] + ([0] * len(_lowercase)) + [1] + ([0] * len(_lowercase)) + [1]



					def 						__snake_case	(  self    :	int			,					_lowercase    :	List[int]			,					_lowercase    :	Optional[List[int]] = None)						->       List[int]:
								if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								else:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]



					def 						__snake_case	(  self    :	str			,					_lowercase    :	str)						->       List[str]:
								A_       		=   [chr(_lowercase) for i in text.encode('utf-8')]
								return tokens



					def 						__snake_case	(  self    :	Union[str, Any]			,					_lowercase    :	Optional[Any])						->       Tuple:
								if token in self.special_tokens_encoder:
											A_       		=   self.special_tokens_encoder[token]
								elif token in self.added_tokens_encoder:
											A_       		=   self.added_tokens_encoder[token]
								elif len(_lowercase) != 1:
											A_       		=   self.unk_token_id
								else:
											A_       		=   ord(_lowercase) + self._num_special_tokens
								return token_id



					def 						__snake_case	(  self    :	str			,					_lowercase    :	List[str])						->       Dict:
								if index in self.special_tokens_decoder:
											A_       		=   self.special_tokens_decoder[index]
								elif index in self.added_tokens_decoder:
											A_       		=   self.added_tokens_decoder[index]
								else:
											A_       		=   chr(index - self._num_special_tokens)
								return token



					def 						__snake_case	(  self    :	str			,					_lowercase    :	Dict)						->       int:
								A_       		=   B''
								for token in tokens:
											if token in self.special_tokens_decoder:
														A_       		=   self.special_tokens_decoder[token].encode('utf-8')
											elif token in self.added_tokens_decoder:
														A_       		=   self.special_tokens_decoder[token].encode('utf-8')
											elif token in self.special_tokens_encoder:
														A_       		=   token.encode('utf-8')
											elif token in self.added_tokens_encoder:
														A_       		=   token.encode('utf-8')
											else:
														A_       		=   bytes([ord(_lowercase)])
											bstring += tok_string
								A_       		=   bstring.decode('utf-8'			,					errors='replace')
								return string



					def 						__snake_case	(  self    :	Optional[int]			,					_lowercase    :	str			,					_lowercase    :	Optional[str] = None)						->       Tuple[str]:
								return ()




