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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 plot_mask_cells(mask_cells, padding=16):
 """Plots cells with their true mask, predicted mask. Parameters mask_cells: list of tuples (`true_mask`, `predicted_mask`, `cell`) padding: int (default=16) Padding around mask to remove. """

    fig, axes = plt.subplots(len(mask_cells), 3, figsize=(12, 10))
    for idx, (axes, mask_cell) in enumerate(zip(axes, mask_cells), 1):
        ax1, ax2, ax3 = axes
        true_mask, predicted_mask, cell = mask_cell
        plot_mask_cell(
                true_mask, predicted_mask, cell,
                'Type {}'.format(idx),
                ax1, ax2, ax3,
                padding=padding)
    fig.tight_layout()
    return fig, axes