






"""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

 _lowerCAmelCase  :  Optional[Any]  							=			True
 _lowerCAmelCase  :  Union[str, Any]  							=			""""""
except Exception as e:
 _lowerCAmelCase  :  int  							=			False
 _lowerCAmelCase  :  Optional[Any]  							=			(
     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  lowerCAmelCase__ (						__magic_name__       ,	__magic_name__      ):
   SCREAMING_SNAKE_CASE_         ='''mel_config.json'''
   @register_to_config
   def __init__(		self			:  Dict       , snake_case__			:  int = 2_5_6       , snake_case__			:  int = 2_5_6       , snake_case__			:  int = 2_2_0_5_0       , snake_case__			:  int = 2_0_4_8       , snake_case__			:  int = 5_1_2       , snake_case__			:  int = 8_0       , snake_case__			:  int = 3_2       , ):


        '''simple docstring'''
        UpperCAmelCase__	:						List[Any]       =       hop_length
        UpperCAmelCase__	:						str       =       sample_rate
        UpperCAmelCase__	:						int       =       n_fft
        UpperCAmelCase__	:						Optional[int]       =       top_db
        UpperCAmelCase__	:						List[str]       =       n_iter
        self.set_resolution(snake_case__       , snake_case__       )
        UpperCAmelCase__	:						Optional[int]       =       None

        if not _librosa_can_be_imported:
             raise ValueError(_import_error       )
   def 			__a       (		self			:  Tuple       , snake_case__			:  int       , snake_case__			:  int       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Optional[int]       =       x_res
        UpperCAmelCase__	:						List[str]       =       y_res
        UpperCAmelCase__	:						Tuple       =       self.y_res
        UpperCAmelCase__	:						Dict       =       self.x_res * self.hop_length - 1
   def 			__a       (		self			:  Optional[Any]       , snake_case__			:  str = None       , snake_case__			:  np.ndarray = None       ):


        '''simple docstring'''
        if audio_file is not None:
             UpperCAmelCase__	:						str       =       librosa.load(snake_case__       , mono=snake_case__       , sr=self.sr       )
        else:
             UpperCAmelCase__	:						Dict       =       raw_audio

        # Pad with silence if necessary.
        if len(self.audio       ) < self.x_res * self.hop_length:
             UpperCAmelCase__	:						List[str]       =       np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio       ),)       )]       )
   def 			__a       (		self			:  Union[str, Any]       ):


        '''simple docstring'''
        return len(self.audio       ) // self.slice_size
   def 			__a       (		self			:  Tuple       , snake_case__			:  int = 0       ):


        '''simple docstring'''
        return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
   def 			__a       (		self			:  Optional[Any]       ):


        '''simple docstring'''
        return self.sr
   def 			__a       (		self			:  List[str]       , snake_case__			:  int       ):


        '''simple docstring'''
        UpperCAmelCase__	:						int       =       librosa.feature.melspectrogram(
            y=self.get_audio_slice(snake_case__       )       , sr=self.sr       , n_fft=self.n_fft       , hop_length=self.hop_length       , n_mels=self.n_mels       )
        UpperCAmelCase__	:						int       =       librosa.power_to_db(snake_case__       , ref=np.max       , top_db=self.top_db       )
        UpperCAmelCase__	:						Tuple       =       (((log_S + self.top_db) * 2_5_5 / self.top_db).clip(0       , 2_5_5       ) + 0.5).astype(np.uinta       )
        UpperCAmelCase__	:						str       =       Image.fromarray(snake_case__       )
        return image




   def 			__a       (		self			:  List[Any]       , snake_case__			:  Image.Image       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Tuple       =       np.frombuffer(image.tobytes()       , dtype="uint8"       ).reshape((image.height, image.width)       )
        UpperCAmelCase__	:						Any       =       bytedata.astype("float"       ) * self.top_db / 2_5_5 - self.top_db
        UpperCAmelCase__	:						List[str]       =       librosa.db_to_power(snake_case__       )
        UpperCAmelCase__	:						List[Any]       =       librosa.feature.inverse.mel_to_audio(
            snake_case__       , sr=self.sr       , n_fft=self.n_fft       , hop_length=self.hop_length       , n_iter=self.n_iter       )
        return audio










"""simple docstring"""



# Lint as: python3

import hashlib
from typing import Union


def   SCREAMING_SNAKE_CASE__					(     snake_case					:   Union[str, int, bytes]							)->		bytes:






     '''simple docstring'''



     if isinstance(snake_case ,				snake_case							):
          # Data already in bytes, returns as it as
          return hash_data
     elif isinstance(snake_case ,				snake_case							):
          # We keep the data as it as for it ot be later encoded to UTF-8
          # However replace `\\` with `/` for Windows compatibility
          UpperCAmelCase__	:						Union[str, Any]       =       hash_data.replace("\\" ,				"/"							)
     elif isinstance(snake_case ,				snake_case							):
          UpperCAmelCase__	:						int       =       str(snake_case							)
     else:
          # If data is not of the required type, raise error
          raise InvalidKeyError(snake_case							)

     return hash_data.encode("utf-8"							)




class  lowerCAmelCase__ (						__magic_name__      ):
   def __init__(		self			:  List[str]       , snake_case__			:  Union[str, Any]       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Tuple       =       "\nFAILURE TO GENERATE DATASET: Invalid key type detected"
        UpperCAmelCase__	:						str       =       f'\nFound Key {hash_data} of type {type(snake_case__       )}'
        UpperCAmelCase__	:						Union[str, Any]       =       "\nKeys should be either str, int or bytes type"
        super().__init__(f'{self.prefix}{self.err_msg}{self.suffix}'       )




class  lowerCAmelCase__ (						__magic_name__      ):
   def __init__(		self			:  List[str]       , snake_case__			:  Dict       , snake_case__			:  Optional[int]       , snake_case__			:  List[str]=""       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Union[str, Any]       =       key
        UpperCAmelCase__	:						Optional[Any]       =       duplicate_key_indices
        UpperCAmelCase__	:						str       =       fix_msg
        UpperCAmelCase__	:						Any       =       "Found multiple examples generated with the same key"
        if len(snake_case__       ) <= 2_0:
             UpperCAmelCase__	:						int       =       f'\nThe examples at index {", ".join(snake_case__       )} have the key {key}'
        else:
             UpperCAmelCase__	:						str       =       f'\nThe examples at index {", ".join(duplicate_key_indices[:2_0]       )}... ({len(snake_case__       ) - 2_0} more) have the key {key}'
        UpperCAmelCase__	:						Any       =       "\n" + fix_msg if fix_msg else ""
        super().__init__(f'{self.prefix}{self.err_msg}{self.suffix}'       )




class  lowerCAmelCase__ :
   def __init__(		self			:  Dict       , snake_case__			:  str       ):


        '''simple docstring'''
        UpperCAmelCase__	:						Union[str, Any]       =       hashlib.mda(_as_bytes(snake_case__       )       )




   def 			__a       (		self			:  int       , snake_case__			:  Union[str, int, bytes]       ):


        '''simple docstring'''
        UpperCAmelCase__	:						int       =       self._split_mda.copy()
        UpperCAmelCase__	:						List[str]       =       _as_bytes(snake_case__       )
        mda.update(snake_case__       )
        # Convert to integer with hexadecimal conversion
        return int(mda.hexdigest()       , 1_6       )


