#!/usr/bin/python
# -*- coding: utf8 -*-

from math import *
import matplotlib.pyplot as plt
from matplotlib import animation, colors, colorbar
import numpy as np
import colorsys
from scipy.interpolate import interp1d
import os, sys

plt.rc('path', snap=False)
plt.rc('mathtext', default='regular')

# image settings
fname = 'QHO-catstate-even3-animation-color'
width, height = 300, 200
ml, mr, mt, mb, mh, mc = 35, 19, 22, 45, 12, 6
x0, x1 = -6.5, 6.5
y0, y1 = 0.0, 1.2
nframes = 150
fps = 20

# physics settings
alpha0 = 3.0
omega = 2*pi

def color(phase):
    hue = (phase / (2*pi) + 2./3.) % 1
    light = interp1d([0, 1, 2, 3, 4, 5, 6], # adjust lightness
                     [0.64, 0.5, 0.55, 0.48, 0.70, 0.57, 0.64])(6 * hue)
    hls = (hue, light, 1.0) # maximum saturation
    rgb = colorsys.hls_to_rgb(*hls)
    return rgb

def coherent(alpha, x, omega, t, l=1.0):
    # Definition of coherent states
    # https://en.wikipedia.org/wiki/Coherent_states
    psi = (pi*l**2)**-0.25 * np.exp(
                -0.5/l**2 * (x - sqrt(2)*l * alpha.real)**2
                + 1j*sqrt(2)/l * alpha.imag * x
                + 0.5j * (alpha0**2*sin(2*omega*t) - omega*t))
    return psi

def animate(nframe):
    print str(nframe) + ' ',; sys.stdout.flush()
    t = float(nframe) / nframes * 0.5 # animation repeats after t=0.5
    alpha = e ** (-1j * omega * t) * alpha0
    
    ax.cla()
    ax.grid(True)
    ax.axis((x0, x1, y0, y1))
    
    x = np.linspace(x0, x1, int(ceil(1+w_px)))
    x2 = x - px_w/2.
    
    # Definition of cat states in terms of coherent states:
    # https://en.wikipedia.org/wiki/Cat_state
    psi = coherent(alpha, x, omega, t) + coherent(-alpha, x, omega, t)
    psi /= sqrt(2 * (1 + exp(-2*alpha0**2)))
    
    # Let's cheat a bit: discard the constant phase from the zero-point energy!
    # This will reduce the period from T=2*(2pi/omega) to T=0.5*(2pi/omega)
    # and allow fewer frames and less file size for repetition.
    # For big alpha the change is hardly visible
    psi *= np.exp(0.5j * omega * t)
    y = np.abs(psi)**2
    
    psi2 = coherent(alpha, x2, omega, t) + coherent(-alpha, x2, omega, t)
    psi2 *= np.exp(0.5j * omega * t)
    phi = np.angle(psi2)
    
    # plot color filling
    for x_, phi_, y_ in zip(x, phi, y):
        ax.plot([x_, x_], [0, y_], color=color(phi_), lw=2*0.72)
    
    ax.plot(x, y, lw=2, color='black')
    ax.set_yticks(ax.get_yticks()[:-1])
    

# create figure and axes
plt.close('all')
fig, ax = plt.subplots(1, figsize=(width/100., height/100.))
bounds = [float(ml)/width, float(mb)/height,
          1.0 - float(mr+mc+mh)/width, 1.0 - float(mt)/height]
fig.subplots_adjust(left=bounds[0], bottom=bounds[1],
                    right=bounds[2], top=bounds[3], hspace=0)
w_px = width - (ml+mr+mh+mc) # plot width in pixels
px_w = float(x1 - x0) / w_px # width of one pixel in plot units

# axes labels
fig.text(0.5 + 0.5 * float(ml-mh-mc-mr)/width, 4./height,
         r'$x\ \ [(\hbar/(m\omega))^{1/2}]$', ha='center')
fig.text(5./width, 1.0, '$|\psi|^2$', va='top')

# colorbar for phase
cax = fig.add_axes([1.0 - float(mr+mc)/width, float(mb)/height,
                    float(mc)/width, 1.0 - float(mb+mt)/height])
cax.yaxis.set_tick_params(length=2)
cmap = colors.ListedColormap([color(phase) for phase in
                              np.linspace(0, 2*pi, 384, endpoint=False)])
norm = colors.Normalize(0, 2*pi)
cbar = colorbar.ColorbarBase(cax, cmap=cmap, norm=norm,
                    orientation='vertical', ticks=np.linspace(0, 2*pi, 3))
cax.set_yticklabels(['$0$', r'$\pi$', r'$2\pi$'], rotation=90)
fig.text(1.0 - 10./width, 1.0, '$arg(\psi)$', ha='right', va='top')
plt.sca(ax)

# start animation
if 0 != os.system('convert -version > ' +  os.devnull):
    print 'imagemagick not installed!'
    # warning: imagemagick produces somewhat jagged and therefore large gifs
    anim = animation.FuncAnimation(fig, animate, frames=nframes)
    anim.save(fname + '.gif', writer='imagemagick', fps=fps)
else:
    # unfortunately the matplotlib imagemagick backend does not support
    # options which are necessary to generate high quality output without
    # framewise color palettes. Therefore save all frames and convert then.
    if not os.path.isdir(fname):
        os.mkdir(fname)
    fnames = []
    
    for frame in range(nframes):
        animate(frame)
        imgname = os.path.join(fname, fname + '{:03d}'.format(frame) + '.png')
        fig.savefig(imgname)
        fnames.append(imgname)
    
    # compile optimized animation with ImageMagick
    cmd = 'convert -loop 0 -delay ' + str(100 / fps) + ' '
    cmd += ' '.join(fnames) # now create optimized palette from all frames
    cmd += r' \( -clone 0--1 \( -clone 0--1 -fill black -colorize 100% \) '
    cmd += '-append +dither -colors 255 -unique-colors '
    cmd += '-write mpr:colormap +delete \) +dither -map mpr:colormap '
    cmd += '-alpha activate -layers OptimizeTransparency '
    cmd += fname + '.gif'
    os.system(cmd)
    
    for fnamei in fnames:
        os.remove(fnamei)
    os.rmdir(fname)