def test_k_bayesa(self):
list, index = k_bayesa(load_data(sample_file[0]), 0.25, 0.25, 0.25,
0.25)
assert list == [21.0, 19.5, 20.0, 20.0, 21.0] and index == [1, 5]
list, index = k_bayesa(load_data(sample_file[1]), 0.33, 0.33, 0.33)
assert list == [
29.04, 29.370000000000005, 30.03, 29.37, 29.700000000000003
] and index == [3]
def test_loss_table(self):
assert loss_table(cut_name(load_data(sample_file[0]))) == [
[7.0, 12.0, 0.0, 4.0],
[0.0, 7.0, 22.0, 0.0],
[15.0, 0.0, 7.0, 5.0],
[15.0, 0.0, 7.0, 5.0],
[7.0, 12.0, 0.0, 4.0],
]
assert loss_table(cut_name(load_data(sample_file[1]))) == [
[7.0, 6.0, 0.0],
[0.0, 4.0, 8.0],
[3.0, 0.0, 7.0],
[4.0, 5.0, 3.0],
[0.0, 4.0, 7.0],
]
def test_cut_name(self):
assert cut_name(load_data(sample_file[0])) == [
["21", "15", "32", "16"],
["28", "20", "10", "20"],
["13", "27", "25", "15"],
["13", "27", "25", "15"],
["21", "15", "32", "16"],
]
assert cut_name(load_data(sample_file[1])) == [
["24", "28", "36"],
["31", "30", "28"],
["28", "34", "29"],
["27", "29", "33"],
["31", "30", "29"],
]
def test_load_data(self):
assert load_data(sample_file[0]) == [
["1", "21", "15", "32", "16"],
["2", "28", "20", "10", "20"],
["3", "13", "27", "25", "15"],
["4", "13", "27", "25", "15"],
["5", "21", "15", "32", "16"],
]
assert load_data(sample_file[1]) == [
["1", "24", "28", "36"],
["2", "31", "30", "28"],
["3", "28", "34", "29"],
["4", "27", "29", "33"],
["5", "31", "30", "29"],
]
def test_k_savage(self):
list, index = k_savage(load_data(sample_file[0]))
assert list == [12.0, 22.0, 15.0, 15.0, 12.0] and index == [1, 5]
list, index = k_savage(load_data(sample_file[1]))
assert list == [7.0, 8.0, 7.0, 5.0, 7.0] and index == [4]
def test_k_huriwcz(self):
list, index = k_hurwicz(load_data(sample_file[0]))
assert list == [23.5, 19.0, 20.0, 20.0, 23.5] and index == [1, 5]
list, index = k_hurwicz(load_data(sample_file[1]))
assert list == [30.0, 29.5, 31.0, 30.0, 30.0] and index == [3]
def test_maks_maks(self):
list, index = maks_maks(load_data(sample_file[0]))
assert list == [32, 28, 27, 27, 32] and index == [1, 5]
list, index = maks_maks(load_data(sample_file[1]))
assert list == [36, 31, 34, 33, 31] and index == [1]
def test_mini_maks(self):
list, index = mini_maks(load_data(sample_file[0]))
assert list == [15, 10, 13, 13, 15] and index == [1, 5]
list, index = mini_maks(load_data(sample_file[1]))
assert list == [24, 28, 28, 27, 29] and index == [5]