




'''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

     UpperCAmelCase_    :					Any					      =						True
     UpperCAmelCase_    :					int					      =						''''''
except Exception as e:
     UpperCAmelCase_    :					Union[str, Any]					      =						False
     UpperCAmelCase_    :					str					      =						(
         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				(	__lowerCAmelCase			,				__lowerCAmelCase):
       __lowercase					: Dict	    =     '''mel_config.json'''


       @register_to_config
       def __init__(				self      ,					__SCREAMING_SNAKE_CASE = 256      ,					__SCREAMING_SNAKE_CASE = 256      ,					__SCREAMING_SNAKE_CASE = 2_2050      ,					__SCREAMING_SNAKE_CASE = 2048      ,					__SCREAMING_SNAKE_CASE = 512      ,					__SCREAMING_SNAKE_CASE = 80      ,					__SCREAMING_SNAKE_CASE = 32      ,					) ->					Union[str, Any]:



            '''simple docstring'''




            __snake_case         =					hop_length
            __snake_case         =					sample_rate
            __snake_case         =					n_fft
            __snake_case         =					top_db
            __snake_case         =					n_iter
            self.set_resolution(__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					)
            __snake_case         =					None

            if not _librosa_can_be_imported:
                 raise ValueError(_import_error					)


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					) ->					Union[str, Any]:



            '''simple docstring'''




            __snake_case         =					x_res
            __snake_case         =					y_res
            __snake_case         =					self.y_res
            __snake_case         =					self.x_res * self.hop_length - 1


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE = None      ,					__SCREAMING_SNAKE_CASE = None					) ->					str:



            '''simple docstring'''




            if audio_file is not None:
                 __snake_case   ,      __snake_case         =					librosa.load(__SCREAMING_SNAKE_CASE      ,					mono=__SCREAMING_SNAKE_CASE      ,					sr=self.sr					)
            else:
                 __snake_case         =					raw_audio

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


       def  lowerCAmelCase (				self					) ->					int:



            '''simple docstring'''




            return len(self.audio					) // self.slice_size


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE = 0					) ->					np.ndarray:



            '''simple docstring'''




            return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]


       def  lowerCAmelCase (				self					) ->					int:



            '''simple docstring'''




            return self.sr


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE					) ->					Image.Image:



            '''simple docstring'''




            __snake_case         =					librosa.feature.melspectrogram(
                y=self.get_audio_slice(__SCREAMING_SNAKE_CASE					)      ,					sr=self.sr      ,					n_fft=self.n_fft      ,					hop_length=self.hop_length      ,					n_mels=self.n_mels					)
            __snake_case         =					librosa.power_to_db(__SCREAMING_SNAKE_CASE      ,					ref=np.max      ,					top_db=self.top_db					)
            __snake_case         =					(((log_S + self.top_db) * 255 / self.top_db).clip(0      ,					255					) + 0.5).astype(np.uinta					)
            __snake_case         =					Image.fromarray(__SCREAMING_SNAKE_CASE					)
            return image




       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE					) ->					np.ndarray:



            '''simple docstring'''




            __snake_case         =					np.frombuffer(image.tobytes()      ,					dtype='''uint8'''					).reshape((image.height, image.width)					)
            __snake_case         =					bytedata.astype('''float'''					) * self.top_db / 255 - self.top_db
            __snake_case         =					librosa.db_to_power(__SCREAMING_SNAKE_CASE					)
            __snake_case         =					librosa.feature.inverse.mel_to_audio(
                __SCREAMING_SNAKE_CASE      ,					sr=self.sr      ,					n_fft=self.n_fft      ,					hop_length=self.hop_length      ,					n_iter=self.n_iter					)
            return audio












'''simple docstring'''



from __future__ import annotations

from collections.abc import Iterator
from typing import Any





class       lowerCAmelCase				:


       def __init__(				self      ,					__SCREAMING_SNAKE_CASE					) ->					None:



            '''simple docstring'''




            __snake_case         =					data
            __snake_case         =					None




       def __str__(				self					) ->					str:



            '''simple docstring'''




            return F'''{self.data}'''





class       lowerCAmelCase				:


       def __init__(				self					) ->					None:



            '''simple docstring'''




            __snake_case         =					None
            __snake_case         =					None


       def __iter__(				self					) ->					Iterator[Any]:



            '''simple docstring'''




            __snake_case         =					self.front
            while node:
                 yield node.data
                 __snake_case         =					node.next


       def __len__(				self					) ->					int:



            '''simple docstring'''




            return len(tuple(iter(self					)					)					)


       def __str__(				self					) ->					str:



            '''simple docstring'''




            return " <- ".join(str(__SCREAMING_SNAKE_CASE					) for item in self					)


       def  lowerCAmelCase (				self					) ->					bool:



            '''simple docstring'''




            return len(self					) == 0


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE					) ->					None:



            '''simple docstring'''




            __snake_case         =					Node(__SCREAMING_SNAKE_CASE					)
            if self.is_empty():
                 __snake_case         =					__snake_case         =					node
            else:
                 assert isinstance(self.rear      ,					__SCREAMING_SNAKE_CASE					)
                 __snake_case         =					node
                 __snake_case         =					node


       def  lowerCAmelCase (				self					) ->					Any:



            '''simple docstring'''




            if self.is_empty():
                 raise IndexError('''dequeue from empty queue'''					)
            assert isinstance(self.front      ,					__SCREAMING_SNAKE_CASE					)
            __snake_case         =					self.front
            __snake_case         =					self.front.next
            if self.front is None:
                 __snake_case         =					None
            return node.data




       def  lowerCAmelCase (				self					) ->					None:



            '''simple docstring'''




            __snake_case         =					__snake_case         =					None


if __name__ == "__main__":
     from doctest import testmod

     testmod()






