old_contents: """
  In this example, we construct an L-shape 3D room. We use the same floor as in
  the 2D example and extrude a 3D room from the floor with a given height.  This
  is a simple way to create 3D rooms that fits most situations.  Then, we place
  one source and two microphones in the room and compute the room impulse
  responses.
  
  The simulation is done using the hybrid ISM/RT simulator.
  """
  from __future__ import print_function
  
  import time
  
  import matplotlib.pyplot as plt
  import numpy as np
  from scipy.io import wavfile
  
  import pyroomacoustics as pra
  
  # Create the 2D L-shaped room from the floor polygon
  pol = np.array([[0, 0], [0, 10], [10, 7.5], [7.5, 6], [5, 6], [5, 0]]).T
  r_absor = 0.1
  mat = pra.Material(0.15, 0.1)
  room = pra.Room.from_corners(
      pol,
      fs=16000,
      # absorption=r_absor,
      materials=mat,
      max_order=3,
      ray_tracing=True,
      air_absorption=True,
  )
  
  # # Create the 3D room by extruding the 2D by 10 meters
  height = 10.0
  room.extrude(height, materials=mat)
  
  room.set_ray_tracing(receiver_radius=0.5)
  
  # # Add a source somewhere in the room
  fs, audio_anechoic = wavfile.read("examples/input_samples/cmu_arctic_us_aew_a0001.wav")
  room.add_source([1.5, 1.7, 1.6], signal=audio_anechoic)
  
  # Add a microphone
  room.add_microphone([3.0, 2.25, 0.6])
  
  # Use the following function to compute the rir using either 'ism' method, 'rt' method, or 'hybrid' method
  chrono = time.time()
  room.compute_rir()
  print("Done in", time.time() - chrono, "seconds.")
  print("RT60:", room.measure_rt60()[0, 0])
  
  room.plot_rir()
  plt.show()
  room.simulate()
  audio_reverb = room.mic_array.to_wav("aaa.wav", norm=True, bitdepth=np.int16)
  
new_contents: """
  In this example, we construct an L-shape 3D room. We use the same floor as in
  the 2D example and extrude a 3D room from the floor with a given height.  This
  is a simple way to create 3D rooms that fits most situations.  Then, we place
  one source and two microphones in the room and compute the room impulse
  responses.
  
  The simulation is done using the hybrid ISM/RT simulator.
  """
  from __future__ import print_function
  
  import time
  
  import matplotlib.pyplot as plt
  import numpy as np
  from scipy.io import wavfile
  
  import pyroomacoustics as pra
  
  # Create the 2D L-shaped room from the floor polygon
  pol = np.array([[0, 0], [0, 10], [7.5, 10], [7.5, 6], [5, 6], [5, 0]]).T
  r_absor = 0.1
  mat = pra.Material(0.15, 0.1)
  room = pra.Room.from_corners(
      pol,
      fs=16000,
      # absorption=r_absor,
      materials=mat,
      max_order=3,
      ray_tracing=True,
      air_absorption=True,
  )
  
  # # Create the 3D room by extruding the 2D by 10 meters
  height = 10.0
  room.extrude(height, materials=mat)
  
  room.set_ray_tracing(receiver_radius=0.5)
  
  # # Add a source somewhere in the room
  fs, audio_anechoic = wavfile.read("examples/input_samples/cmu_arctic_us_aew_a0001.wav")
  room.add_source([1.5, 1.7, 1.6], signal=audio_anechoic)
  
  # Add a microphone
  room.add_microphone([3.0, 2.25, 0.6])
  
  # Use the following function to compute the rir using either 'ism' method, 'rt' method, or 'hybrid' method
  chrono = time.time()
  room.compute_rir()
  print("Done in", time.time() - chrono, "seconds.")
  print("RT60:", room.measure_rt60()[0, 0])
  
  room.plot_rir()
  plt.show()
  room.simulate()
  audio_reverb = room.mic_array.to_wav("aaa.wav", norm=True, bitdepth=np.int16)
  
subject: fix number mixed up