I am creating a quiz for students which requires them to write a function findLOBF(x,y) in Python3. The function takes two vectors, and the students must use these to develop a simple line of best fit for the data. The students are given a dataset to download to help develop their code, but when submitting to Coderunner the wish is to be able to test their code using a dataset with random noise added, so everyone will have a different answer. I am currently trying to achieve this by having the following code in the Testcase 1 box to generate the x and y arrays:
x = np.linspace(0, 3, 16, endpoint = True)
y = np.array()
for entry in x:
y = np.append(y, 0.67*np.exp(entry) + 3)
random_noise = np.random.normal(0,1, y.shape)
y = y + random_noise
This generates a random testcase each time as expected, however I can't find a way to generate the expected output answer, as it will convert whatever I paste in that box to a string. Is there a way to have the expected output change to match the dataset each time the code is run?