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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 get_colorscale(cmap, levels=None, cmin=None, cmax=None):
 """Converts a cmap spec to a plotly colorscale Args: cmap: A recognized colormap by name or list of colors levels: A list or integer declaring the color-levels cmin: The lower bound of the color range cmax: The upper bound of the color range Returns: A valid plotly colorscale """

    ncolors = levels if isinstance(levels, int) else None
    if isinstance(levels, list):
        ncolors = len(levels) - 1
        if isinstance(cmap, list) and len(cmap) != ncolors:
            raise ValueError('The number of colors in the colormap '
                             'must match the intervals defined in the '
                             'color_levels, expected %d colors found %d.'
                             % (ncolors, len(cmap)))
    try:
        palette = process_cmap(cmap, ncolors)
    except Exception as e:
        colorscale = colors.PLOTLY_SCALES.get(cmap)
        if colorscale is None:
            raise e
        return colorscale

    if isinstance(levels, int):
        colorscale = []
        scale = np.linspace(0, 1, levels+1)
        for i in range(levels+1):
            if i == 0:
                colorscale.append((scale[0], palette[i]))
            elif i == levels:
                colorscale.append((scale[-1], palette[-1]))
            else:
                colorscale.append((scale[i], palette[i-1]))
                colorscale.append((scale[i], palette[i]))
        return colorscale
    elif isinstance(levels, list):
        palette, (cmin, cmax) = color_intervals(
            palette, levels, clip=(cmin, cmax))
    return colors.make_colorscale(palette)