in grok/data.py [0:0]
def _make_lists(cls, sizes=[2, 3], nums=NUMS):
lists: dict = {}
for size in sizes:
lists[size] = torch.tensor(
list(itertools.permutations(nums, r=size)),
dtype=torch.int,
)
return lists