ar = [0] * 3 ar[0] = 10 print(ar) # 10, 0, 0

ar = [ [0] * 3 ] * 3 ar[0][0] = 10 print(ar) # 10, 0, 0 , 10, 0, 0 , 10, 0, 0

• operator on list creates n references to the same list hence the second case is digestible. But if that's the case why don't in 1d list we are getting 10, 10, 10?

Hi

I'm quite new to Twine, using SugarCube 2.31.1 and have a nested array that I want to extract and multiply by a scalar variable.

<<set $belief0001 to ["I believe in God",1,[0,1,2,3,1,2,1],1,14,[]]>>

<<set $belief0002 to ["Human beings are OK",2,[0,1,3,2,3,2,1],1,5,[]]>>

<<set $belief0003 to ["Reality is an illusion",3,[0,3,3,3,1,1,1],1,9,[]]>>

<<set $beliefs to [$belief0001,$belief0002,$belief0003]>>

Now what I want to do is create a new array that is the product of $beliefs[$i][2] * $beliefs[$i][3] * $beliefs[$i][4] using a <<for>> loop something like this:

<<for $i to 0; $i < $beliefs.length; $i++>>

<<set $newarray to $beliefs[$i][2] * $beliefs[$i][3] * $beliefs[$i][4]>>

<</for>>

The thing is, $beliefs[$i][2] is a nested array and it seems Twine doesn't like me multipliying it with the other two scalar variables. I also think this is affecting the $beliefs array which I don't want it to do, I want it to create an entirely new array called $newarray.

Any help appreciated!

>>> b = np.arange(12).reshape([3, 4])
>>> a = np.arange(3)
>>> b
array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11]])
>>> a
array([0, 1, 2])
>>> a * b
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ValueError: operands could not be broadcast together with shapes (3,) (3,4) 
>>> b = np.arange(9).reshape([3, 3])
>>> a * b
array([[ 0,  1,  4],
       [ 0,  4, 10],
       [ 0,  7, 16]])