Write a function that generates an identity matrix. You may represent this data as a list of lists. The function will take a size parameter.
What is an identity matrix?
An identity matrix is an NxN matrix in which all the cells on the diagonal line between the upper left and bottom right are set to 1, and all other cells are 0. As an example, a 4x4 identity matrix would look like this:
[ [1,0,0,0], [0,1,0,0], [0,0,1,0], [0,0,0,1] ]
The identity matrix plays a similar role with matrices that the number 1 plays with real numbers. For example, any matrix M that is multiplied with an identity matrix I will always return a matrix that is identical to the original M.
Implementing the function
We can implement a solution for this problem using either loops or list comprehensions. In both cases, we will have two counters, one tracking the current row we are at, and the other tracking the current column we are at. When the two counters are equal to one another, we set the cell to 1. In any other case, we set the cell to 0. To implement using a set of loops, our function would look like so:
def identity_matrix(size): result =  wi, hi = 0, 0 while hi < size: wi = 0 row =  while wi < size: row.append(1 if wi == hi else 0) wi += 1 result.append(row) hi += 1 return result
As a comprehension, we will do essentially the same thing as the function above, but in a more pythonic way:
def identity_matrix(size): return [[1 if hi == wi else 0 for wi in range(0,size)] for hi in range(0,size)]
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