Sampling with while loop issue - Initialization always the same / resetting variable

Questions v3
5

That loop will only be evaluated once when you create the variables and not be rerun or updated during sampling.

Okay, so this disappointed me a lot. Because now it looks like that I cannot even implement the if-statement sections correctly. There is no way to fix this either?
An example of regular python, and pymc3 giving different results:

Pymc3

with pm.Model() as model: # discreteuniform
    i = pm.Bernoulli('i',p=0.3)
    d = pm.Bernoulli('d',p=0.4)
    if i.tag.test_value == 0 and d.tag.test_value == 0:
        g = pm.Bernoulli('g',p=0.7)
    elif i.tag.test_value == 0 and d.tag.test_value == 1:
        g = pm.Bernoulli('g',p=0.95)
    elif i.tag.test_value == 1 and d.tag.test_value == 0:
        g = pm.Bernoulli('g',p=0.1)
    else:
        g = pm.Bernoulli('g',p=0.5)

    if i.tag.test_value == 0:
        s = pm.Bernoulli('s',p=0.05)
    else:
        s = pm.Bernoulli('s',p=0.8)

    if g.tag.test_value == 0:
        l = pm.Bernoulli('l',p=0.1)
    else:
        l = pm.Bernoulli('l',p=0.6)

    z = pm.Deterministic(f'z', l)
    step1 = pm.Metropolis([i,d,g,s,l,z])
    trace2 = pm.sample(samples,return_inferencedata=0,step= step1)

python3, random library

from random import randint,uniform

samples = 1000000

si = 0
sd = 0
sg = 0
ss = 0
sl = 0

for _ in range(samples):
    i = 1 if uniform(0,1) <= 0.3 else 0
    d = 1 if uniform(0,1) <= 0.4 else 0

    if not (i and d):
        g = 1 if uniform(0,1) <= 0.7 else 0
    elif (not i) and d:
        g = 1 if uniform(0,1) <= 0.95 else 0
    elif i and (not d):
        g = 1 if uniform(0,1) <= 0.1 else 0
    else:
        g = 1 if uniform(0,1) <= 0.5 else 0

    if not i:
        s = 1 if uniform(0,1) <= 0.05 else 0
    else:
        s = 1 if uniform(0,1) <= 0.8 else 0

    if not g:
        l = 1 if uniform(0,1) <= 0.1 else 0
    else:
        l = 1 if uniform(0,1) <= 0.6 else 0

    si += i
    sd += d
    sg += g
    ss += s
    sl += l

print(si/samples,sd/samples,sg/samples,ss/samples,sl/samples)