






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

   __A  							=  True
   __A  							=  ""
except Exception as e:
   __A  							=  False
   __A  							=  (
       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 							_A (    UpperCamelCase				,				UpperCamelCase							):
    """simple docstring"""

    lowerCamelCase  :       List[str]   =   'mel_config.json'



    @register_to_config
    def __init__(							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    int = 256   ,    __SCREAMING_SNAKE_CASE			:    int = 256   ,    __SCREAMING_SNAKE_CASE			:    int = 22050   ,    __SCREAMING_SNAKE_CASE			:    int = 2048   ,    __SCREAMING_SNAKE_CASE			:    int = 512   ,    __SCREAMING_SNAKE_CASE			:    int = 80   ,    __SCREAMING_SNAKE_CASE			:    int = 32   ,    )			->       Dict:
           __UpperCAmelCase    							=hop_length
           __UpperCAmelCase    							=sample_rate
           __UpperCAmelCase    							=n_fft
           __UpperCAmelCase    							=top_db
           __UpperCAmelCase    							=n_iter
           self.set_resolution(__SCREAMING_SNAKE_CASE   ,    __SCREAMING_SNAKE_CASE			)
           __UpperCAmelCase    							=None

           if not _librosa_can_be_imported:
                  raise ValueError(_import_error			)



    def _a       (							self			:    Optional[int]   ,    __SCREAMING_SNAKE_CASE			:    int   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       Any:
           __UpperCAmelCase    							=x_res
           __UpperCAmelCase    							=y_res
           __UpperCAmelCase    							=self.y_res
           __UpperCAmelCase    							=self.x_res * self.hop_length - 1



    def _a       (							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    str = None   ,    __SCREAMING_SNAKE_CASE			:    np.ndarray = None			)			->       Dict:
           if audio_file is not None:
                  __UpperCAmelCase							,   __UpperCAmelCase    							=librosa.load(__SCREAMING_SNAKE_CASE   ,    mono=__SCREAMING_SNAKE_CASE   ,    sr=self.sr			)
           else:
                  __UpperCAmelCase    							=raw_audio

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



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



    def _a       (							self			:    Optional[int]   ,    __SCREAMING_SNAKE_CASE			:    int = 0			)			->       np.ndarray:
           return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]



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



    def _a       (							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       Image.Image:
           __UpperCAmelCase    							=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			)
           __UpperCAmelCase    							=librosa.power_to_db(__SCREAMING_SNAKE_CASE   ,    ref=np.max   ,    top_db=self.top_db			)
           __UpperCAmelCase    							=(((log_S + self.top_db) * 255 / self.top_db).clip(0   ,    255			) + 0.5).astype(np.uinta			)
           __UpperCAmelCase    							=Image.fromarray(__SCREAMING_SNAKE_CASE			)
           return image



    def _a       (							self			:    Any   ,    __SCREAMING_SNAKE_CASE			:    Image.Image			)			->       np.ndarray:
           __UpperCAmelCase    							=np.frombuffer(image.tobytes()   ,    dtype="""uint8"""			).reshape((image.height, image.width)			)
           __UpperCAmelCase    							=bytedata.astype("""float"""			) * self.top_db / 255 - self.top_db
           __UpperCAmelCase    							=librosa.db_to_power(__SCREAMING_SNAKE_CASE			)
           __UpperCAmelCase    							=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












from __future__ import annotations

__A  							=  [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]



class 							_A :
    """simple docstring"""

    def __init__(							self			:    List[str]   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       None:
           __UpperCAmelCase    							=-1
           __UpperCAmelCase    							=-1
           __UpperCAmelCase    							=[-1] * length
           __UpperCAmelCase    							=None
           __UpperCAmelCase    							=None



    def __repr__(							self			:    Optional[int]			)			->       str:
           return f'''Node(min_value={self.minn} max_value={self.maxx})'''







def 			lowercase__  (				A_:	list[int]		)  ->							Node | None:







       """simple docstring"""






       __UpperCAmelCase    							=Node(len(A_		)		)
       __UpperCAmelCase							,   __UpperCAmelCase    							=min(A_		), max(A_		)
       # Leaf node case where the node contains only one unique value
       if root.minn == root.maxx:
              return root
       __UpperCAmelCase    							=(root.minn + root.maxx) // 2

       __UpperCAmelCase    							=[]
       __UpperCAmelCase    							=[]

       for index, num in enumerate(A_		):
              if num <= pivot:
                     left_arr.append(A_		)
              else:
                     right_arr.append(A_		)
              __UpperCAmelCase    							=len(A_		)
       __UpperCAmelCase    							=build_tree(A_		)
       __UpperCAmelCase    							=build_tree(A_		)
       return root







def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int		)  ->							int:







       """simple docstring"""






       if index < 0 or node is None:
              return 0
       # Leaf node cases
       if node.minn == node.maxx:
              return index + 1 if node.minn == num else 0
       __UpperCAmelCase    							=(node.minn + node.maxx) // 2
       if num <= pivot:
              # go the left subtree and map index to the left subtree
              return rank_till_index(node.left     ,			A_     ,			node.map_left[index] - 1		)
       else:
              # go to the right subtree and map index to the right subtree
              return rank_till_index(node.right     ,			A_     ,			index - node.map_left[index]		)







def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:







       """simple docstring"""






       if start > end:
              return 0
       __UpperCAmelCase    							=rank_till_index(A_     ,			A_     ,			A_		)
       __UpperCAmelCase    							=rank_till_index(A_     ,			A_     ,			start - 1		)
       return rank_till_end - rank_before_start







def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:







       """simple docstring"""






       if index > (end - start) or start > end or node is None:
              return -1
       # Leaf node case
       if node.minn == node.maxx:
              return node.minn
       # Number of elements in the left subtree in interval [start, end]
       __UpperCAmelCase    							=node.map_left[end] - (
           node.map_left[start - 1] if start else 0
       )
       if num_elements_in_left_tree > index:
              return quantile(
                  node.left     ,			A_     ,			(node.map_left[start - 1] if start else 0)     ,			node.map_left[end] - 1     ,			)
       else:
              return quantile(
                  node.right     ,			index - num_elements_in_left_tree     ,			start - (node.map_left[start - 1] if start else 0)     ,			end - node.map_left[end]     ,			)







def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:







       """simple docstring"""






       if (
           start > end
           or node is None
           or start_num > end_num
           or node.minn > end_num
           or node.maxx < start_num
       ):
              return 0
       if start_num <= node.minn and node.maxx <= end_num:
              return end - start + 1
       __UpperCAmelCase    							=range_counting(
           node.left     ,			(node.map_left[start - 1] if start else 0)     ,			node.map_left[end] - 1     ,			A_     ,			A_     ,			)
       __UpperCAmelCase    							=range_counting(
           node.right     ,			start - (node.map_left[start - 1] if start else 0)     ,			end - node.map_left[end]     ,			A_     ,			A_     ,			)
       return left + right


if __name__ == "__main__":
   import doctest

   doctest.testmod()




