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if __name__ == "__main__":
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scipy.special
import gamma_approx as ga
mpl.rcParams.update(
{
"mathtext.fontset": "stix",
"font.family": "serif",
"font.serif": "TeX Gyre Termes",
}
)
xmax = 4
vals = np.linspace(-xmax + ga.EPSILON, xmax, 100)
x, y = np.meshgrid(vals, vals)
mesh = x + 1j * y
input = mesh.flatten()
lanczos = scipy.special.gamma(mesh)
lag = ga.eval_laguerre_gamma(input, n=8, func="optimal_shifted").reshape(mesh.shape)
rel_error = np.abs(ga.calc_rel_error(lanczos, lag))
fig, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(3.5, 2.1))
_c = ax.pcolormesh(
x, y, rel_error, shading="gouraud", cmap=ga.cmap, norm=mpl.colors.LogNorm()
)
cbr = fig.colorbar(_c, ax=ax)
cbr.minorticks_off()
# ax.set_title("Relative Error")
ax.set_xlabel("Re($z$)")
ax.set_ylabel("Im($z$)")
minor_ticks = np.arange(-xmax, xmax + ga.EPSILON)
ticks = np.arange(-xmax, xmax + ga.EPSILON, 2)
ax.set_xticks(ticks)
ax.set_xticks(minor_ticks, minor=True)
ax.set_yticks(ticks)
ax.set_yticks(minor_ticks, minor=True)
fig.savefig(f"{ga.img_path}/rel_error_complex.pdf")
# plt.show()
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