Here are a couple of questions about basic numpy/python programming.
- You have a 3d numpy array:
In[1]: my_data.shape
Out[1]: (10, 10, 10)
If you want to extract a 2d array with only the 5th element on the last axis, you will need to enter:
(a): my_data[…, 4]
(b): my_data[:, :, 4]
(c): my_data[:, :, 5]
(d): my_data[-1, :, :]
(e) Either (a) or (b) would work
(f) Either (b) or (d) would work
Both (a) and (b) are correct => answer (e) is the best answer. Choosing (a) or (b) would indicate that the student does not know both indexing notations (most likely to happen to the somewhat more advanced `…` notation). Choosing (c) would indicate a confusion about 0 indexing. Choosing (d) would indicate some sort of confusion between elements and axes (chooses the last element of the first axis). Choosing (f) would indicate a deep cluelessness.
- You define a function:
def my_func(in1, in2, in3=False):
if in3:
out = in1 + in2 + in3
else:
out = in1 + in2
return out
Which of the following is FALSE:
(a) You can call the function: `my_func(1,2)`, since `in3` is set by default.
(b) You can call the function: `my_func(in3=3 , in1=1, in2=2)`, since positional
arguments don’t have to be passed by position, when they are explicitely specified.
(c) You can call the function: `my_func(1, in3=3)` since not all positional arguments
need to be set.
(d) You can call the function: `my_func(*[1,2], *dict(in3=3))`, since positional
arguments can be passed as a list, marked by `` and key-word arguments can be
passed as a dict marked by `**`
This question targets knowledge about passing arguments to a python function Answer (c) is the correct answer to this question. Choosing (a) would indicate a misunderstanding about key-word arguments and their behavior. Choosing (b) would indicate that the student doesn’t know that positional arguments can be specified explicitely in this way. Choosing (d) indicates that the student doesn’t know the `*` and `**` syntax for specifying function inputs.