(EDIT by @kazk: Updated for Codewars framework)
Consider using numpy testing once this is deployed. This gives beautified and helpful output for test failures:
import numpy as np
@test.it('Example Test Case')
actual = np.reshape(range(16), [4, 4])
expected = np.reshape(range(1, 17), [4, 4])
If anyone is getting the error:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Remember you have to a .tolist() at the end of your return statement to convert numpy scalars back to python's.
Why is the list split in 2? Just to do the same thing twice?
Also, why the hell was this approved? This is a duplicate.
You definitely need to improve the instructions for this kata. Even now, I have no idea how this worked ---> pattern(30, 7) = [-1, -8, -3, -2, -1]. It would be helpful if you made the example better by showing why the output of [-1, -8, -3, -2, -1] makes sense coming from (30, 7).