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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_box_loc(fig, ax, line_wave, arrow_tip, box_axes_space=0.06):
 """Box loc in data coords, given Fig. coords offset from arrow_tip. Parameters fig: matplotlib Figure artist Figure on which the boxes will be placed. ax: matplotlib Axes artist Axes on which the boxes will be placed. arrow_tip: list or array of floats Location of tip of arrow, in data coordinates. box_axes_space: float Vertical space between arrow tip and text box in figure coordinates. Default is 0.06. Returns ------- box_loc: list of floats Box locations in data coordinates. Notes ----- Note that this function is not needed if user provides both arrow tip positions and box locations. The use case is when the program has to automatically find positions of boxes. In the automated plotting case, the arrow tip is set to be the top of the Axes (outside this function) and the box locations are determined by `box_axes_space`. In Matplotlib annotate function, both the arrow tip and the box location can be specified. While calculating automatic box locations, it is not ideal to use data coordinates to calculate box location, since plots will not have a uniform appearance. Given locations of arrow tips, and a spacing in figure fraction, this function will calculate the box locations in data coordinates. Using this boxes can be placed in a uniform manner. """

    # Plot boxes in their original x position, at a height given by the
    # key word box_axes_spacing above the arrow tip. The default
    # is set to 0.06. This is in figure fraction so that the spacing
    # doesn't depend on the data y range.
    box_loc = []
    fig_inv_trans = fig.transFigure.inverted()
    for w, a in zip(line_wave, arrow_tip):
        # Convert position of tip of arrow to figure coordinates, add
        # the vertical space between top edge and text box in figure
        # fraction. Convert this text box position back to data
        # coordinates.
        display_coords = ax.transData.transform((w, a))
        figure_coords = fig_inv_trans.transform(display_coords)
        figure_coords[1] += box_axes_space
        display_coords = fig.transFigure.transform(figure_coords)
        ax_coords = ax.transData.inverted().transform(display_coords)
        box_loc.append(ax_coords)

    return box_loc