marcorealacci/so-un-bot
1
0
Fork 0
mirror of https://github.com/appinfosapienza/so-un-bot.git synced 2025-05-06 15:19:38 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Adapt to new bot structure

Browse source
This commit is contained in:
Marco Realacci 2024-04-04 23:24:06 +02:00
parent ff7e08ada9
commit 3f84e1d831
3414 changed files with 41525 additions and 709 deletions
Download patch file Download diff file Expand all files Collapse all files

27
legacy/Data/ingsw/0321_37/correct.txt Normal file
View file

@ -0,0 +1,27 @@
<pre>
model System
Integer y; Real r1024;
Integer state1024[Modelica.Math.Random.Generators.Xorshift1024star.nState];
equation
y = if (r1024 <= 0.2) then -1 else if (r1024 <= 0.7) then 0 else 1;
algorithm
when initial() then
state1024 := Modelica.Math.Random.Generators.Xorshift1024star.initialState(614657, 30020);
r1024 := 0;
elsewhen sample(0,1) then
(r1024,state1024) := Modelica.Math.Random.Generators.Xorshift1024star.random(pre(state1024));
end when;
end System;
</pre>

1
legacy/Data/ingsw/0321_37/quest.txt Normal file
View file

@ -0,0 +1 @@
Si consideri l'ambiente (use case) consistente di un utente che ad ogni unità di tempo (ad esempio, un secondo) invia al nostro sistema input -1 con probabilità 0.2, input 0 con probabilità 0.5 ed input 1 con probabilità 0.3. Quale dei seguenti modelli Modelica rappresenta correttamente tale ambiente.

28
legacy/Data/ingsw/0321_37/wrong 1.txt Normal file
View file

@ -0,0 +1,28 @@
<pre>
model System
Integer y; Real r1024;
Integer state1024[Modelica.Math.Random.Generators.Xorshift1024star.nState];
equation
y = if (r1024 <= 0.3) then -1 else if (r1024 <= 0.7) then 0 else 1;
algorithm
when initial() then
state1024 := Modelica.Math.Random.Generators.Xorshift1024star.initialState(614657, 30020);
r1024 := 0;
elsewhen sample(0,1) then
(r1024,state1024) := Modelica.Math.Random.Generators.Xorshift1024star.random(pre(state1024));
end when;
end System;
</pre>

27
legacy/Data/ingsw/0321_37/wrong 2.txt Normal file
View file

@ -0,0 +1,27 @@
<pre>
model System
Integer y; Real r1024;
Integer state1024[Modelica.Math.Random.Generators.Xorshift1024star.nState];
equation
y = if (r1024 <= 0.2) then -1 else if (r1024 <= 0.5) then 0 else 1;
algorithm
when initial() then
state1024 := Modelica.Math.Random.Generators.Xorshift1024star.initialState(614657, 30020);
r1024 := 0;
elsewhen sample(0,1) then
(r1024,state1024) := Modelica.Math.Random.Generators.Xorshift1024star.random(pre(state1024));
end when;
end System;
</pre>