moved python3 prototyping to the python folder

This commit is contained in:
2025-10-09 13:47:29 +03:00
parent aa5945e8b2
commit e7cec37ac5
8 changed files with 65037 additions and 65037 deletions

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python/FFT.py Normal file
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import numpy as np
from math import sin, cos, pi, sqrt
def FFT_backup(inp):
inp = np.array(inp)
out = np.fft.fft(inp)
out = [val for val in np.abs(out)]
print(out)
return out
def FFT_real(inp):
mode = 3
if (mode == 0):
inp = np.array(inp)
out = FFT_np(inp)
out = [np.abs(val) for val in out]
if (mode == 1): # simple with recursion
out = FFT_arr([[val, 0] for val in inp])
#out = [val for val in np.abs(out)]
print("FFT_calculated!")
print("output:", out)
out = [sqrt(val[0]**2 + val[1]**2) for val in out]
# out = [2 for val in out]
if (mode == 2): #no internal buffs
tmp = []
for re in inp:
tmp.append(re)
tmp.append(0)
out = FFT_arr_inplace(tmp)
tmp = out.copy()
out = []
for i in range(len(tmp)//2):
out.append([tmp[2*i], tmp[2*i+1]])
#out = [val for val in np.abs(out)]
print("FFT_calculated!")
#print("output:", out)
out = [sqrt(val[0]**2 + val[1]**2) for val in out]
if (mode == 3): #fixed-point
tmp = []
for re in inp:
tmp.append(re)
tmp.append(0)
out = FFT_arr_FP(tmp)
tmp = out.copy()
out = []
for i in range(len(tmp)//2):
out.append([tmp[2*i], tmp[2*i+1]])
#out = [val for val in np.abs(out)]
print("FFT_calculated!")
#print("output:", out)
out = [sqrt(val[0]**2 + val[1]**2) for val in out]
#print(out)
return out
def FFT(inp):
return FFT_arr([[val, 0] for val in inp])
def FFT_np(inp):
print("inp:", inp)
inp = np.array(inp)
N = inp.shape[0]
if N == 1:
return inp
X_even = FFT_np(inp[::2])
X_odd = FFT_np(inp[1::2])
k = np.arange(N // 2)
tw = np.exp(-2j * np.pi * k / N) * X_odd
return np.concatenate((X_even + tw, X_even - tw))
def FFT_arr(x):
print("x:", x)
N = len(x)
print("len(x):", N)
if N == 1:
print("As len(x) == 1, return it`s value")
return x
X_even = FFT_arr(x[::2])
X_odd = FFT_arr(x[1::2])
print("X_even:",X_even)
tw = []
for k in range(len(X_odd)):
a = cos(2*pi * k/N) #real
b = -sin(2*pi * k/N) #imag
c = X_odd[k][0] # real
d = X_odd[k][1] # imag
print("a,b,c,d:", a,b,c,d)
tw.append([a*c - b*d, b*c + a*d]) #(a + ib)(c + id) = (ac - bd) + i(bc + ad)
res = [0 for i in range(len(X_even)*2)]
for i in range(len(X_even)):
res[i] = [X_even[i][0] + tw[i][0], X_even[i][1] + tw[i][1]]
res[i+len(X_even)] = [X_even[i][0] - tw[i][0], X_even[i][1] - tw[i][1]]
return res
def FFT_arr_inplace(buf):
"""
In-place radix-2 DIT FFT для списка buf длины N=2^m, где каждый элемент — [re, im].
Без массивов twiddle: твиддл на уровне обновляется рекуррентно.
"""
N = len(buf)//2
# --- bit-reverse перестановка (чтобы бабочки шли последовательно) ---
j = 0
for i in range(1, N):
bit = N >> 1
while j & bit:
j ^= bit
bit >>= 1
j |= bit
if i < j:
buf[i*2], buf[i*2+1], buf[j*2], buf[j*2+1] = buf[j*2], buf[j*2+1], buf[i*2], buf[i*2+1]
# --- уровни бабочек ---
m = 2
while m <= N:
half = m // 2
# шаг угла Δ = 2π/m, базовый твиддл w_m = e^{-jΔ} => (cw, sw)
c_delta = cos(2.0 * math.pi / m)
s_delta = -sin(2.0 * math.pi / m)
for start in range(0, N, m):
# w = e^{-j*0*Δ} = 1 + j0
wr, wi = 1.0, 0.0
for k in range(half):
u_re, u_im = buf[(start + k)*2], buf[(start + k)*2 +1]
v_re, v_im = buf[(start + k + half)*2], buf[(start + k + half)*2 +1]
# t = w * v
print("wr, v_re, wi, v_im:",wr, v_re, wi, v_im)
t_re = wr * v_re - wi * v_im
t_im = wr * v_im + wi * v_re
# верх/низ
buf[(start + k)*2 +0] = u_re + t_re
buf[(start + k)*2 +1] = u_im + t_im
buf[(start + k + half)*2 + 0] = u_re - t_re
buf[(start + k + half)*2 + 1] = u_im - t_im
# w *= w_m (поворот на Δ с помощью рекуррентной формулы)
# (wr + j wi) * (cΔ + j sΔ)
wr, wi = wr * c_delta - wi * s_delta, wr * s_delta + wi * c_delta
m <<= 1
return buf
FP_acc = 2<<16
def FFT_arr_FP(buf):
"""
In-place radix-2 DIT FFT для списка buf длины N=2^m, где каждый элемент — [re, im].
Без массивов twiddle: твиддл на уровне обновляется рекуррентно.
"""
buf = [int(val*FP_acc) for val in buf]
N = len(buf)//2
# --- bit-reverse перестановка (чтобы бабочки шли последовательно) ---
j = 0
for i in range(1, N):
bit = N >> 1
while j & bit:
j ^= bit
bit >>= 1
j |= bit
if i < j:
buf[i*2], buf[i*2+1], buf[j*2], buf[j*2+1] = buf[j*2], buf[j*2+1], buf[i*2], buf[i*2+1]
# --- уровни бабочек ---
c_delta_FP_arr = [cos(2.0 * pi / m) * FP_acc for m in range(2,N+2)]
s_delta_FP_arr = [-sin(2.0 * pi / m) * FP_acc for m in range(2,N+2)]
m = 2
while m <= N:
half = m // 2
# шаг угла Δ = 2π/m, базовый твиддл w_m = e^{-jΔ} => (cw, sw)
print("N, m:", N,m)
c_delta_FP = c_delta_FP_arr[m -2]
s_delta_FP = s_delta_FP_arr[m -2]
#c_delta_FP = cos(2.0 * pi / m) * FP_acc
#s_delta_FP = -sin(2.0 * pi / m) * FP_acc
for start in range(0, N, m):
# w = e^{-j*0*Δ} = 1 + j0
wr, wi = 1.0 * FP_acc, 0.0 * FP_acc
for k in range(half):
u_re, u_im = buf[(start + k)*2], buf[(start + k)*2 +1]
v_re, v_im = buf[(start + k + half)*2], buf[(start + k + half)*2 +1]
# t = w * v
print("wr, v_re, wi, v_im:", wr, v_re, wi, v_im)
t_re = (wr * v_re - wi * v_im) / FP_acc
t_im = (wr * v_im + wi * v_re) / FP_acc
# верх/низ
buf[(start + k)*2 +0] = u_re + t_re
buf[(start + k)*2 +1] = u_im + t_im
buf[(start + k + half)*2 + 0] = u_re - t_re
buf[(start + k + half)*2 + 1] = u_im - t_im
# w *= w_m (поворот на Δ с помощью рекуррентной формулы)
# (wr + j wi) * (cΔ + j sΔ)
wr, wi = (wr * c_delta_FP - wi * s_delta_FP)/ FP_acc, (wr * s_delta_FP + wi * c_delta_FP)/ FP_acc
m <<= 1
buf = [val/ FP_acc for val in buf]
return buf
#global arrays. calculated once at compile time. They store sin and cos values as fixed-point
c_delta_FP_arr = [int(cos(2.0 * pi / m) * FP_acc) for m in range(2,inp_L//2 + 2)]
s_delta_FP_arr = [int(-sin(2.0 * pi / m) * FP_acc) for m in range(2, inp_L//2 + 2)]
def FFT_arr_FP_for_C(inp, inp_L, buf): #version for translation to C directly
"""
In-place radix-2 DIT FFT для списка buf длины N=2^m, где каждый элемент — [re, im].
Без массивов twiddle: твиддл на уровне обновляется рекуррентно.
"""
#buf = [int(val*FP_acc) for val in buf]
for i in range(inp_L):
buf[i*2] = inp[i] #take data from input as real and store it to the buf as Re, Im pairs.
buf[i*2 + 1] = 0
N = inp_L//2
# --- bit-reverse перестановка (чтобы бабочки шли последовательно) ---
j = 0
for i in range(1, N):
bit = N >> 1
while j & bit:
j ^= bit
bit >>= 1
j |= bit
if i < j:
buf[i*2], buf[i*2+1], buf[j*2], buf[j*2+1] = buf[j*2], buf[j*2+1], buf[i*2], buf[i*2+1]
# --- уровни бабочек ---
c_delta_FP_arr = [cos(2.0 * pi / m) * FP_acc for m in range(2,N+2)]
s_delta_FP_arr = [-sin(2.0 * pi / m) * FP_acc for m in range(2,N+2)]
m = 2
while m <= N:
half = m // 2
# шаг угла Δ = 2π/m, базовый твиддл w_m = e^{-jΔ} => (cw, sw)
#print("N, m:", N,m)
c_delta_FP = c_delta_FP_arr[m -2]
s_delta_FP = s_delta_FP_arr[m -2]
#c_delta_FP = cos(2.0 * pi / m) * FP_acc
#s_delta_FP = -sin(2.0 * pi / m) * FP_acc
for start in range(0, N, m):
# w = e^{-j*0*Δ} = 1 + j0
wr, wi = 1.0 * FP_acc, 0.0 * FP_acc
for k in range(half):
u_re, u_im = buf[(start + k)*2], buf[(start + k)*2 +1]
v_re, v_im = buf[(start + k + half)*2], buf[(start + k + half)*2 +1]
# t = w * v
#print("wr, v_re, wi, v_im:", wr, v_re, wi, v_im)
t_re = (wr * v_re - wi * v_im) / FP_acc
t_im = (wr * v_im + wi * v_re) / FP_acc
# верх/низ
buf[(start + k)*2 +0] = u_re + t_re
buf[(start + k)*2 +1] = u_im + t_im
buf[(start + k + half)*2 + 0] = u_re - t_re
buf[(start + k + half)*2 + 1] = u_im - t_im
# w *= w_m (поворот на Δ с помощью рекуррентной формулы)
# (wr + j wi) * (cΔ + j sΔ)
wr, wi = (wr * c_delta_FP - wi * s_delta_FP)/ FP_acc, (wr * s_delta_FP + wi * c_delta_FP)/ FP_acc
m <<= 1