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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 draw_pdf(f, arg, bound, bins=100, scale=1.0, density=True, normed_pdf=False, ax=None, **kwds):
 """ draw pdf with given argument and bounds. **Arguments** * **f** your pdf. The first argument is assumed to be independent variable * **arg** argument can be tuple or list * **bound** tuple(xmin,xmax) * **bins** number of bins to plot pdf. Default 100. * **scale** multiply pdf by given number. Default 1.0. * **density** plot density instead of expected count in each bin (pdf*bin width). Default True. * **normed_pdf** Normalize pdf in given bound. Default False * The rest of keyword argument will be pass to pyplot.plot **Returns** x, y of what's being plot """

    edges = np.linspace(bound[0], bound[1], bins)
    return draw_pdf_with_edges(f, arg, edges, ax=ax, scale=scale, density=density,
                               normed_pdf=normed_pdf, **kwds)