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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def config_notebook_plotting():
 """ Configure plotting functions for inline plotting within a Jupyter Notebook shell. This function has no effect when not within a notebook shell, and may therefore be used within a normal python script. """


    # Check whether running within a notebook shell and have
    # not already monkey patched the plot function
    from sporco.util import in_notebook
    module = sys.modules[__name__]
    if in_notebook() and module.plot.__name__ == 'plot':

        # Set inline backend (i.e. %matplotlib inline) if in a notebook shell
        set_notebook_plot_backend()

        # Replace plot function with a wrapper function that discards
        # its return value (within a notebook with inline plotting, plots
        # are duplicated if the return value from the original function is
        # not assigned to a variable)
        plot_original = module.plot

        def plot_wrap(*args, **kwargs):
            plot_original(*args, **kwargs)

        module.plot = plot_wrap

        # Replace surf function with a wrapper function that discards
        # its return value (see comment for plot function)
        surf_original = module.surf

        def surf_wrap(*args, **kwargs):
            surf_original(*args, **kwargs)

        module.surf = surf_wrap

        # Replace contour function with a wrapper function that discards
        # its return value (see comment for plot function)
        contour_original = module.contour

        def contour_wrap(*args, **kwargs):
            contour_original(*args, **kwargs)

        module.contour = contour_wrap

        # Replace imview function with a wrapper function that discards
        # its return value (see comment for plot function)
        imview_original = module.imview

        def imview_wrap(*args, **kwargs):
            imview_original(*args, **kwargs)

        module.imview = imview_wrap

        # Disable figure show method (results in a warning if used within
        # a notebook with inline plotting)
        import matplotlib.figure

        def show_disable(self):
            pass

        matplotlib.figure.Figure.show = show_disable