"""simple docstring"""







from __future__ import annotations

from collections import deque
from queue import Queue
from timeit import timeit

UpperCamelCase_    :    Optional[int]											=						{
    """A""": ["""B""", """C"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F"""],
    """D""": ["""B"""],
    """E""": ["""B""", """F"""],
    """F""": ["""C""", """E"""],
}


def 					a__ (						UpperCAmelCase__    :     dict						,     UpperCAmelCase__    :     str     )->		list[str]:
						UpperCAmelCase__   		=						{start}
						UpperCAmelCase__   		=						[start]
						UpperCAmelCase__   		=						Queue()
						queue.put(UpperCAmelCase__     )
						while not queue.empty():
												UpperCAmelCase__   		=						queue.get()
												for w in graph[v]:
																		if w not in explored:
																								explored.add(UpperCAmelCase__     )
																								result.append(UpperCAmelCase__     )
																								queue.put(UpperCAmelCase__     )
						return result


def 					a__ (						UpperCAmelCase__    :     dict						,     UpperCAmelCase__    :     str     )->		list[str]:
						UpperCAmelCase__   		=						{start}
						UpperCAmelCase__   		=						[start]
						UpperCAmelCase__   		=						deque([start]     )
						while queue:
												UpperCAmelCase__   		=						queue.popleft()
												for child in graph[v]:
																		if child not in visited:
																								visited.add(UpperCAmelCase__     )
																								result.append(UpperCAmelCase__     )
																								queue.append(UpperCAmelCase__     )
						return result


def 					a__ (						UpperCAmelCase__    :     str     )->		None:
						UpperCAmelCase__   		=						f'from __main__ import G, {name}'
						UpperCAmelCase__   		=						1_0_0_0_0
						UpperCAmelCase__   		=						timeit(f'{name}(G, \'A\')'						,     setup=UpperCAmelCase__						,     number=UpperCAmelCase__     )
						print(f'{name:<35} finished {number} runs in {res:.5f} seconds'     )


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						benchmark_function("""breadth_first_search""")
						benchmark_function("""breadth_first_search_with_deque""")
						# breadth_first_search                finished 10000 runs in 0.20999 seconds
						# breadth_first_search_with_deque     finished 10000 runs in 0.01421 seconds


"""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_    :    Union[str, Any]											=						True
						UpperCamelCase_    :    int											=						""""""
except Exception as e:
						UpperCamelCase_    :    Any											=						False
						UpperCamelCase_    :    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      _lowercase						(				__lowerCamelCase , __lowerCamelCase					):
				lowerCamelCase__									=    'mel_config.json'

				@register_to_config
				def __init__(       self    :      int    ,      _lowercase    :      int = 2_5_6    ,      _lowercase    :      int = 2_5_6    ,      _lowercase    :      int = 2_2_0_5_0    ,      _lowercase    :      int = 2_0_4_8    ,      _lowercase    :      int = 5_1_2    ,      _lowercase    :      int = 8_0    ,      _lowercase    :      int = 3_2    ,      ):


										'''simple docstring'''
										UpperCAmelCase__   		=						hop_length
										UpperCAmelCase__   		=						sample_rate
										UpperCAmelCase__   		=						n_fft
										UpperCAmelCase__   		=						top_db
										UpperCAmelCase__   		=						n_iter
										self.set_resolution(_lowercase    ,      _lowercase       )
										UpperCAmelCase__   		=						None

										if not _librosa_can_be_imported:
																raise ValueError(_import_error       )

				def     A	(       self    :      Any    ,      _lowercase    :      int    ,      _lowercase    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						x_res
										UpperCAmelCase__   		=						y_res
										UpperCAmelCase__   		=						self.y_res
										UpperCAmelCase__   		=						self.x_res * self.hop_length - 1

				def     A	(       self    :      Dict    ,      _lowercase    :      str = None    ,      _lowercase    :      np.ndarray = None       ):


										'''simple docstring'''
										if audio_file is not None:
																UpperCAmelCase__		, UpperCAmelCase__   		=						librosa.load(_lowercase    ,      mono=_lowercase    ,      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    :      int       ):


										'''simple docstring'''
										return len(self.audio       ) // self.slice_size

				def     A	(       self    :      Optional[int]    ,      _lowercase    :      int = 0       ):


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

				def     A	(       self    :      Dict       ):


										'''simple docstring'''
										return self.sr

				def     A	(       self    :      int    ,      _lowercase    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						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       )
										UpperCAmelCase__   		=						librosa.power_to_db(_lowercase    ,      ref=np.max    ,      top_db=self.top_db       )
										UpperCAmelCase__   		=						(((log_S + self.top_db) * 2_5_5 / self.top_db).clip(0    ,      2_5_5       ) + 0.5).astype(np.uinta       )
										UpperCAmelCase__   		=						Image.fromarray(_lowercase       )
										return image

				def     A	(       self    :      Dict    ,      _lowercase    :      Image.Image       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						np.frombuffer(image.tobytes()    ,      dtype="""uint8"""       ).reshape((image.height, image.width)       )
										UpperCAmelCase__   		=						bytedata.astype("""float"""       ) * self.top_db / 2_5_5 - self.top_db
										UpperCAmelCase__   		=						librosa.db_to_power(_lowercase       )
										UpperCAmelCase__   		=						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

