Переписать КОД из Питона в MQL4

import copy
import numpy as np
import matplotlib.pyplot as plot
 
Fs = 8000 # Sampling frequency (Hz)
Fc = 2000 # Cutoff frequency (Hz)
 
T = 1.0/Fs
 
N = Fs # Number of samples per 1 s
 
x = range(0, N)
y = range(0, N)
y1 = range(0, N)
y2 = range(0, N)
 
f1 = 100 # Hz
f2 = 3500 # Hz
 
N_TO_DISPLAY = 2*Fs/f1
 
# Generating test signal
for t in range(0, N):
    x[t] = (np.sin(2.0*np.pi*f1*t/Fs) + np.sin(2.0*np.pi*f2*t/Fs))/2.0
 
# Calculating necessary values for filter
dt = 1.0/Fs
tau = 1.0/(2.0*np.pi*Fc)
alpha = dt / (dt + 2*tau)
 
# Applying filter
for i in range(1, N):
    y[i] = alpha*(x[i]+x[i-1]) + (1-2*alpha)*y[i-1]
 
#copying the filtered result after 1st order LPF
y1 = copy.copy(y)
 
#direct filtering formula for the 2nd order RC LPF without any optimization
#for i in range(2, N):
#    y[i] = (pow(T,2)*x[i] + 2*pow(T,2)*x[i-1] + pow(T,2)*x[i-2] - (2*pow(T,2)-8*pow(tau,2))*y[i-1] - (pow(T,2)-4*T*tau+4*pow(tau,2))*y[i-2]) / (pow(T,2)+4*T*tau+4*pow(tau,2))
 
alpha = (T-2*tau)/(T+2*tau)
 
#filtering formula for the 2nd order RC LPF with some sort of optimization
for i in range(2, N):
    y[i] = pow((1+alpha)/2,2)*(x[i]+2*x[i-1]+x[i-2]) - 2*alpha*y[i-1] - pow(alpha,2)*y[i-2]
 
#copying the filtered result after 2nd order LPF
y2 = copy.copy(y)
 
# Drawing original and filtered signals
plot.clf()
plot.xlabel("Time")
plot.ylabel("Sample value")
plot.plot(x[0:N_TO_DISPLAY], 'r')
plot.plot(y1[0:N_TO_DISPLAY], 'g')
plot.plot(y2[0:N_TO_DISPLAY], 'b')
plot.draw()