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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 make_colormap(seq, name="CustomMap", plot=False):
 """Generate a LinearSegmentedColormap. Parameters seq : list of tuples A sequence of floats and RGB-tuples. The floats should be increasing and in the interval (0,1). name : string (optional) A name for the colormap plot : boolean (optional) Use to generate a plot of the colormap (Default is False). Returns ------- matplotlib.colors.LinearSegmentedColormap `Source`__ __ http://nbviewer.ipython.org/gist/anonymous/a4fa0adb08f9e9ea4f94 """

    seq = [(None,) * 3, 0.0] + list(seq) + [1.0, (None,) * 3]
    cdict = {"red": [], "green": [], "blue": []}
    for i, item in enumerate(seq):
        if isinstance(item, float):
            r1, g1, b1 = seq[i - 1]
            r2, g2, b2 = seq[i + 1]
            cdict["red"].append([item, r1, r2])
            cdict["green"].append([item, g1, g2])
            cdict["blue"].append([item, b1, b2])
    cmap = mplcolors.LinearSegmentedColormap(name, cdict)
    if plot:
        plot_colormap_components(cmap)
    return cmap