new_contents: #Import statements so that you will have access to the necessary functions
  import numpy
  from landlab import RasterModelGrid
  from landlab.components.diffusion.diffusion import DiffusionComponent
  from landlab.plot.imshow import imshow_node_grid
  from pylab import show, figure
  
  
  #Create a raster grid with 25 rows, 40 columns, and cell spacing of 10 m
  mg = RasterModelGrid(25, 40, 10.0)
  
  #Create a field of node data (an array) on the grid called elevation.  
  #Initially populate this array with zero values.
  z = mg.add_zeros('node', 'topographic_elevation')
  
  #Check the size of the array
  len(z)
  
  #Create a diagonal fault across the grid
  fault_y = 50.0 + 0.25*mg.node_x
  upthrown_nodes = numpy.where(mg.node_y>fault_y)
  z[upthrown_nodes] += 10.0 + 0.01*mg.node_x[upthrown_nodes]
  
  #Illustrate the grid
  imshow_node_grid(mg, z, cmap='jet', grid_units=['m','m'])
  show()
  
  #Instantiate the diffusion component:
  linear_diffuse = DiffusionComponent(grid=mg, input_stream='./diffusion_input_file.txt')
  
  #Set boundary conditions
  mg.set_closed_boundaries_at_grid_edges(False, True, False, True)
  
  #Evolve landscape
  for i in range(25):
      mg = linear_diffuse.diffuse(mg)
  
  #Plot new landscape
  figure()
  imshow_node_grid(mg, z, cmap='jet', grid_units=['m','m'])
  show()
  
subject: Create scarp_diffusion_with_component.py