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import mg2d
import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
N = 4097
h = 1.0 / N
x = np.linspace(0, 1, N)
z = np.linspace(0, 1, N)
X, Z = np.meshgrid(x, z, indexing = 'xy')
rhs = - 8.0 * np.pi * np.pi * np.cos(X * 2 * np.pi) * np.cos(Z * 2 * np.pi)
#rhs[0] = np.cos(2 * np.pi * x)
#rhs[:, 0] = np.cos(2 * np.pi * x)
#
#rhs[-1] = np.cos(2 * np.pi * x)
#rhs[:, -1] = np.cos(2 * np.pi * x)
coeffs = [np.zeros_like(X) for i in xrange(mg2d.MG2D_DIFF_COEFF_NB)]
coeffs[mg2d.MG2D_DIFF_COEFF_XX][:] = 1
coeffs[mg2d.MG2D_DIFF_COEFF_ZZ][:] = 1
solver = mg2d.MG2DSolver(N, N, h, h, 6)
solution, res_norm = solver.solve(coeffs, rhs);
exact_solution = np.cos(2 * np.pi * X) * np.cos(2 * np.pi * Z)
print 'maxdiff ', np.max(np.abs(exact_solution - solution))
fig = plt.figure(figsize = (8, 8))
axes = fig.add_subplot(111)
axes.grid()
#axes.set_yscale('log')
for i in xrange(5):
idx = int(i * N / 5.0)
axes.plot(x, solution[idx], label = 'z = %g' % z[idx])
axes.plot(x, exact_solution[idx], '--', label = 'z = %g' % z[idx])
axes.legend()
#axes.plot(res_norm)
fig.savefig('out.png')
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