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NeuroOpticsTest
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import astropy.units as u
import pyoptica as po
import matplotlib.pyplot as plt
import numpy as np
import math
import os
from scipy.fft import fft2, ifft2, fftshift, ifftshift
import aotools.opticalpropagation as op
import scipy.special as sc
import time
import multiprocessing
from multiprocessing import Pool
from zern_generator import generate_zern_wavefront, generate_zern_wavefront_fig
from scipy.ndimage import zoom

fig, (ax1, ax2) = plt.subplots(2,1)


#f2.show()

f = 100 * 10 ** -3 # Форкусное расстояние линзы



radius = 5 * 10 ** -3 # Радиус линзы
span = (-(2*radius), 2*radius)
lens = po.ThinLens(radius, f)

z = 100 * 10 ** -3 # Расстояние 

wavelength = 500 * 10 ** -9 # Длина волны
pixel_scale = 250 * 10 ** -4 # Размер пикселя
npix = 2**9 # Размер сетки


ddx = np.linspace(*span, npix)
ddy = np.linspace(*span, npix)
xv, yv = np.meshgrid(ddx, ddy)
f2 = generate_zern_wavefront(xv, yv, [0,0,0,1,0,0], norm_radius=radius)
dist_from_center = np.sqrt(xv**2 + yv**2)
mask = dist_from_center <= radius
f2[mask==0] = 0
f2[np.isnan(f2)] = 0
k = 2*math.pi/wavelength


wf = np.zeros((npix, npix), dtype=np.complex64)

wf[mask] = 1 + 0j

wf += f2 * 1j

wf = fftshift(fft2(wf))

phase_mul = ((np.exp(1j*k*z) * np.exp(1j*k*(xv**2 + yv**2)/(2*z)))/(1j*wavelength*z))

#wf = wf * phase_mul
wf= np.abs(wf)**2
#wf = np.log10(wf)

crop = 20
center = npix//2
vx = np.linspace(*span, npix)
ax1.imshow(wf, extent = (*span, *span), cmap="gray")
#ax2.plot(vx, wf[npix//2])
ax2.imshow(f2, extent = (*span, *span),cmap="gray")
print(np.ptp(wf))
plt.show()





# amp = np.array(wf.amplitude)

# a = fftshift(fft2(wf.amplitude))
# a = np.abs(a)**2
# print(a)
# ax.imshow(a, extent=(-npix*pixel_scale/2, npix*pixel_scale/2,-npix*pixel_scale/2, npix*pixel_scale/2))
# plt.show()


# # Двойной интеграл из 4.13
# def calc_point_fourier(x,y, uxy):
#     res = 0 + 0j
#     for x0 in range(npix):
#         x_r = to_real(x0)
#         for y0 in range(npix):       
#             y_r = to_real(y0)
#             res += uxy * np.exp(-1j*k*(x*x_r + y*y_r)/z)
#     return res


# # Считает точку по 4.13
# def calc_point(x,y):
#     x_r = to_real(x)
#     y_r = to_real(y)
#     if y%100 == 1:
#         os.system('cls')
#         print(f"{npix*x + y}/{npix**2}")
#     return ((np.exp(1j*k*z) * np.exp(1j*k*(x_r**2 + y_r**2)/(2*z)))/(1j*wavelength*z)) * calc_point_fourier(x_r, y_r, amp[x][y])


    

# if __name__ == "__main__":
#     pairs = []
#     for x in range(npix):
#         for y in range(npix):
#             pairs.append((x,y))
#     multiprocessing.freeze_support()
#     with Pool(20) as p:
#         res = p.starmap_async(calc_point, pairs)
#         a = res.get()
#         a = np.abs(a)**2
#         a = a.reshape((npix, npix))
#         a /= np.max(a)
#         ax.imshow(a, extent=(-npix*pixel_scale/2, npix*pixel_scale/2,-npix*pixel_scale/2, npix*pixel_scale/2))
#         plt.show()






try:
    pass
except KeyError: