"""
QuadTree: FaceDiv
=================

For a tree mesh, there needs to be special attention taken for the hanging
faces to achieve second order convergence for the divergence operator.
Although the divergence cannot be constructed through Kronecker product
operations, the initial steps are exactly the same for calculating the
stencil, volumes, and areas. This yields a divergence defined for every
cell in the mesh using all faces. There is, however, redundant information
when hanging faces are included.
"""

import discretize
import matplotlib.pyplot as plt
import numpy as np


def run(plotIt=True, n=60):
    M = discretize.TreeMesh([[(1, 16)], [(1, 16)]], levels=4)
    M.insert_cells(np.array([5.0, 5.0]), np.array([3]))
    M.number()

    if plotIt:
        fig, axes = plt.subplots(2, 1, figsize=(10, 10))

        M.plot_grid(centers=True, nodes=False, ax=axes[0])
        axes[0].axis("off")
        axes[0].set_title("Simple QuadTree Mesh")
        axes[0].set_xlim([-1, 17])
        axes[0].set_ylim([-1, 17])

        for ii, loc in zip(range(M.nC), M.gridCC):
            axes[0].text(loc[0] + 0.2, loc[1], "{0:d}".format(ii), color="r")

        axes[0].plot(M.gridFx[:, 0], M.gridFx[:, 1], "g>")
        for ii, loc in zip(range(M.nFx), M.gridFx):
            axes[0].text(loc[0] + 0.2, loc[1], "{0:d}".format(ii), color="g")

        axes[0].plot(M.gridFy[:, 0], M.gridFy[:, 1], "m^")
        for ii, loc in zip(range(M.nFy), M.gridFy):
            axes[0].text(
                loc[0] + 0.2, loc[1] + 0.2, "{0:d}".format((ii + M.nFx)), color="m"
            )

        axes[1].spy(M.face_divergence)
        axes[1].set_title("Face Divergence")
        axes[1].set_ylabel("Cell Number")
        axes[1].set_xlabel("Face Number")


if __name__ == "__main__":
    run()
    plt.show()