from triacontagon.cumcount import dfill, \
    argunsort, \
    cumcount
import torch
import numpy as np


def test_dfill_01():
    input = torch.tensor([1, 1, 1, 1, 1, 2, 2, 3, 3, 3, 4, 4, 5, 5])
    output = dfill(input)
    expected = torch.tensor([0, 0, 0, 0, 0, 5, 5, 7, 7, 7, 10, 10, 12, 12])
    assert torch.all(output == expected)


def test_argunsort_01():
    input = torch.tensor([1, 1, 2, 3, 3, 4, 1, 1, 5, 5, 2, 3, 1, 4])
    output = np.argsort(input.numpy())
    output = argunsort(torch.tensor(output))
    expected = torch.tensor([0, 1, 5, 7, 8, 10, 2, 3, 12, 13, 6, 9, 4, 11])
    assert torch.all(output == expected)


def test_cumcount_01():
    input = torch.tensor([1, 1, 2, 3, 3, 4, 1, 1, 5, 5, 2, 3, 1, 4])
    output = cumcount(input)
    expected = torch.tensor([0, 1, 0, 0, 1, 0, 2, 3, 0, 1, 1, 2, 4, 1])
    assert torch.all(output == expected)