text: """
  This sample program demonstrate how to import a model from an STL file.
  Currently, the materials need to be set in the program which is not very practical
  when different walls have different materials.
  
  The STL file was kindly provided by Diego Di Carlo (@Chutlhu).
  """
  import argparse
  import os
  
  import matplotlib.pyplot as plt
  import numpy as np
  from mpl_toolkits import mplot3d
  
  import pyroomacoustics as pra
  
  try:
      from stl import mesh
  except ImportError as err:
      print(
          "The numpy-stl package is required for this example. "
          "Install it with `pip install numpy-stl`"
      )
      raise err
  
  
  if __name__ == "__main__":
  
      parser = argparse.ArgumentParser(description="Basic room from STL file example")
      parser.add_argument("file", type=str, help="Path to STL file")
      args = parser.parse_args()
  
      path_to_musis_stl_file = "./data/raw/MUSIS_3D_no_mics_simple.stl"
  
      material = pra.Material(energy_absorption=0.2, scattering=0.1)
  
      # with numpy-stl
      the_mesh = mesh.Mesh.from_file(args.file)
      ntriang, nvec, npts = the_mesh.vectors.shape
      size_reduc_factor = 500.0  # to get a realistic room size (not 3km)
  
      # create one wall per triangle
      walls = []
      for w in range(ntriang):
          walls.append(
              pra.wall_factory(
                  the_mesh.vectors[w].T / size_reduc_factor,
                  material.energy_absorption["coeffs"],
                  material.scattering["coeffs"],
              )
          )
  
      room = (
          pra.Room(
              walls,
              fs=16000,
              max_order=3,
              ray_tracing=True,
              air_absorption=True,
          )
          .add_source([-2.0, 2.0, 1.8])
          .add_microphone_array(np.c_[[-6.5, 8.5, 3 + 0.1], [-6.5, 8.1, 3 + 0.1]])
      )
  
      # compute the rir
      room.image_source_model()
      room.ray_tracing()
      room.compute_rir()
      room.plot_rir()
  
      # show the room
      room.plot(img_order=1)
      plt.show()
  