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Adapt to new bot structure

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Marco Realacci 2024-04-04 23:24:06 +02:00
parent ff7e08ada9
commit 3f84e1d831
3414 changed files with 41525 additions and 709 deletions
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23
legacy/Data/Questions/ingsw/0721_33/correct.txt Normal file
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<pre>
block MarkovChain
//external function myrandom() returns a random real number in [0, 1]
parameter Integer x0 = 0;
OutputInteger x;
algorithm
when initial() then
x := x0;
elsewhen sample(0, 1) then
if (myrandom() <= 0.8)
then
if (myrandom() <= 0.7)
then
x := 0;
else
x := 1;
end if;
else
x := -1;
end if;
end when;
end MarkovChain;
</pre>

2
legacy/Data/Questions/ingsw/0721_33/quest.txt Normal file
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L'environment di un sistema software è costituito da uno user che, ogni untià di tempo (ad esempio, un secondo) invia al sistema tre numeri: -1, 0, 1, con probabilità, rispettivamente, 0.2, 0.56, 0.24.
Quale dei seguenti modelli Modelica modella correttamente l'environment descritto sopra.

23
legacy/Data/Questions/ingsw/0721_33/wrong1.txt Normal file
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<pre>
block MarkovChain
//external function myrandom() returns a random real number in [0, 1]
parameter Integer x0 = 0;
OutputInteger x;
algorithm
when initial() then
x := x0;
elsewhen sample(0, 1) then
if (myrandom() <= 0.8)
then
if (myrandom() <= 0.7)
then
x := 1;
else
x := 0;
end if;
else
x := -1;
end if;
end when;
end MarkovChain;
</pre>

23
legacy/Data/Questions/ingsw/0721_33/wrong2.txt Normal file
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@ -0,0 +1,23 @@
<pre>
block MarkovChain
//external function myrandom() returns a random real number in [0, 1]
parameter Integer x0 = 0;
OutputInteger x;
algorithm
when initial() then
x := x0;
elsewhen sample(0, 1) then
if (myrandom() <= 0.7)
then
if (myrandom() <= 0.8)
then
x := 0;
else
x := 1;
end if;
else
x := -1;
end if;
end when;
end MarkovChain;
</pre>