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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_labels(self):
 """ Draw x and y labels onto the figure """

        # This is very laboured. Should be changed when MPL
        # finally has a constraint based layout manager.
        figure = self.figure
        get_property = self.theme.themeables.property

        try:
            margin = get_property('axis_title_x', 'margin')
        except KeyError:
            pad_x = 5
        else:
            pad_x = margin.get_as('t', 'pt')

        try:
            margin = get_property('axis_title_y', 'margin')
        except KeyError:
            pad_y = 5
        else:
            pad_y = margin.get_as('r', 'pt')

        # Get the axis labels (default or specified by user)
        # and let the coordinate modify them e.g. flip
        labels = self.coordinates.labels({
            'x': self.layout.xlabel(self.labels),
            'y': self.layout.ylabel(self.labels)
        })

        # The first axes object is on left, and the last axes object
        # is at the bottom. We change the transform so that the relevant
        # coordinate is in figure coordinates. This way we take
        # advantage of how MPL adjusts the label position so that they
        # do not overlap with the tick text. This works well for
        # facetting with scales='fixed' and also when not facetting.
        # first_ax = self.axs[0]
        # last_ax = self.axs[-1]

        xlabel = self.facet.last_ax.set_xlabel(
            labels['x'], labelpad=pad_x)
        ylabel = self.facet.first_ax.set_ylabel(
            labels['y'], labelpad=pad_y)

        xlabel.set_transform(mtransforms.blended_transform_factory(
            figure.transFigure, mtransforms.IdentityTransform()))
        ylabel.set_transform(mtransforms.blended_transform_factory(
            mtransforms.IdentityTransform(), figure.transFigure))

        figure._themeable['axis_title_x'] = xlabel
        figure._themeable['axis_title_y'] = ylabel