File size: 9,441 Bytes
998bb30 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 |
import numpy as np
import pytest
from .utils import FakeDataset, build_fake_dataset
CIFAR_TESTSET_NUM = 1000
def build_cifar_fake_dataset(dataset_type: str, **kwargs) -> FakeDataset:
if dataset_type.endswith('CIFAR100'):
y_range = (0, 99)
dataset_type = dataset_type.replace('CIFAR100', 'FakeDataset')
else:
y_range = (0, 9)
dataset_type = dataset_type.replace('CIFAR10', 'FakeDataset')
dataset_cfg = dict(type=dataset_type,
x_shape=(3, 32, 32),
y_range=y_range,
nums=CIFAR_TESTSET_NUM,
**kwargs)
return build_fake_dataset(dataset_cfg)
@pytest.mark.parametrize('dataset_type', ['CIFAR10', 'CIFAR100'])
def test_xy(dataset_type: str) -> None:
cifar = build_cifar_fake_dataset(dataset_type)
xy = cifar.get_xy()
x, y = xy
assert len(x) == len(y)
assert isinstance(y[0], int)
old_x = x.copy()
old_y = y.copy()
cifar.set_xy(xy)
assert all([np.array_equal(nx, ox) for nx, ox in zip(cifar.data, old_x)])
assert cifar.targets == old_y
x = x[:cifar.num_classes]
y = y[:cifar.num_classes]
cifar.set_xy((x, y))
assert all([np.array_equal(nx, ox) for nx, ox in zip(cifar.data, x)])
assert cifar.targets == y
assert cifar.num_classes == len(set(y))
assert len(cifar.data.shape) == 4
@pytest.mark.parametrize(['start_idx', 'end_idx', 'dataset_type'],
[(0, 9, 'IndexCIFAR10'), (-10, 8, 'IndexCIFAR10'),
(2, 12, 'IndexCIFAR10'), (4, 4, 'IndexCIFAR10'),
(4, 3, 'IndexCIFAR10'), (0, 99, 'IndexCIFAR100'),
(-10, 8, 'IndexCIFAR100'),
(40, 50, 'IndexCIFAR100')])
def test_index(start_idx: int, end_idx: int, dataset_type: str) -> None:
kwargs = dict(start_idx=start_idx, end_idx=end_idx)
if start_idx > end_idx:
with pytest.raises(ValueError):
_ = build_cifar_fake_dataset(dataset_type, **kwargs)
return
cifar = build_cifar_fake_dataset(dataset_type, **kwargs)
assert cifar.start_idx == start_idx
assert cifar.end_idx == end_idx
for y in cifar.targets:
assert start_idx <= y <= end_idx
assert cifar.num_classes == min(
cifar.end_idx, cifar.raw_num_classes - 1) - max(cifar.start_idx, 0) + 1
assert len(cifar.data.shape) == 4
@pytest.mark.parametrize(['ratio', 'dataset_type'], [(-1, 'RatioCIFAR10'),
(0, 'RatioCIFAR10'),
(0.1, 'RatioCIFAR10'),
(0.5, 'RatioCIFAR10'),
(1, 'RatioCIFAR10'),
(2, 'RatioCIFAR10'),
(0.4, 'RatioCIFAR100')])
def test_ratio(ratio: float, dataset_type: str) -> None:
kwargs = dict(ratio=ratio)
if ratio <= 0 or ratio > 1:
with pytest.raises(ValueError):
_ = build_cifar_fake_dataset(dataset_type, **kwargs)
return
cifar = build_cifar_fake_dataset(dataset_type, **kwargs)
assert cifar.num_classes == cifar.raw_num_classes
assert len(cifar.targets) == \
int(CIFAR_TESTSET_NUM / cifar.num_classes * ratio) * cifar.num_classes
assert len(cifar.data.shape) == 4
@pytest.mark.parametrize('range_ratio', [(-1, 0.2), (0, 2), (0.1, 0.1),
(0.5, 0.2), (0.1, 0.5), (0, 1)])
@pytest.mark.parametrize('dataset_type',
['RangeRatioCIFAR10', 'RangeRatioCIFAR100'])
def test_range_ratio(range_ratio: tuple[float, float],
dataset_type: str) -> None:
kwargs = dict(range_ratio=range_ratio)
start_ratio = range_ratio[0]
end_ratio = range_ratio[1]
if not (0 <= start_ratio < end_ratio <= 1):
with pytest.raises(ValueError):
_ = build_cifar_fake_dataset(dataset_type, **kwargs)
return
cifar = build_cifar_fake_dataset(dataset_type, **kwargs)
assert cifar.num_classes == cifar.raw_num_classes
assert len(cifar.targets) == \
round(CIFAR_TESTSET_NUM * (end_ratio - start_ratio))
assert len(cifar.data.shape) == 4
@pytest.mark.parametrize(['range_ratio1', 'range_ratio2'],
[((0, 0.5), (0.5, 1)), ((0, 0.6), (0.4, 1)),
((0, 0.7), (0.3, 1)), ((0, 0.5), (0, 1))])
@pytest.mark.parametrize('dataset_type',
['RangeRatioCIFAR10', 'RangeRatioCIFAR100'])
def test_range_ratio_intersection(range_ratio1: tuple[float, float],
range_ratio2: tuple[float, float],
dataset_type: str) -> None:
cifar1 = build_cifar_fake_dataset(dataset_type=dataset_type,
range_ratio=range_ratio1,
cache_xy=True)
cifar2 = build_cifar_fake_dataset(dataset_type=dataset_type,
range_ratio=range_ratio2,
cache_xy=True)
cat_x = np.concatenate([cifar1.data, cifar2.data], axis=0)
unique_x = np.unique(cat_x, axis=0)
intersection_number = cat_x.shape[0] - unique_x.shape[0]
intersection_ratio = max(0, range_ratio1[1] - range_ratio2[0])
assert round(intersection_ratio * CIFAR_TESTSET_NUM) == intersection_number
@pytest.mark.parametrize('dataset_type',
['IndexRatioCIFAR10', 'IndexRatioCIFAR100'])
@pytest.mark.parametrize(['start_idx', 'end_idx', 'ratio'], [(4, 3, 0.5),
(3, 4, 0),
(3, 4, 2),
(1, 4, 0.1)])
def test_index_ratio(start_idx: int, end_idx: int, ratio: float,
dataset_type: str) -> None:
kwargs = dict(start_idx=start_idx, end_idx=end_idx, ratio=ratio)
if ratio <= 0 or ratio > 1 or start_idx > end_idx:
with pytest.raises(ValueError):
_ = build_cifar_fake_dataset(dataset_type, **kwargs)
return
cifar = build_cifar_fake_dataset(dataset_type, **kwargs)
assert cifar.start_idx == start_idx
assert cifar.end_idx == end_idx
for y in cifar.targets:
assert start_idx <= y <= end_idx
assert len(cifar.targets) == \
cifar.num_classes / cifar.raw_num_classes * CIFAR_TESTSET_NUM * ratio
assert len(cifar.data.shape) == 4
@pytest.mark.parametrize('dataset_type',
['PoisonLabelCIFAR10', 'PoisonLabelCIFAR100'])
@pytest.mark.parametrize('poison_label', [-1, 5, 101])
def test_poison_label(poison_label: int, dataset_type: str) -> None:
kwargs = dict(poison_label=poison_label)
if poison_label < 0 or poison_label >= 100:
with pytest.raises(ValueError):
_ = build_cifar_fake_dataset(dataset_type, **kwargs)
return
cifar = build_cifar_fake_dataset(dataset_type, **kwargs)
assert cifar.poison_label == poison_label
assert cifar.num_classes == 1
assert all(map(lambda x: x == poison_label, cifar.targets))
assert len(cifar.data.shape) == 4
@pytest.mark.parametrize(
'dataset_type', ['RatioPoisonLabelCIFAR10', 'RatioPoisonLabelCIFAR100'])
@pytest.mark.parametrize('poison_label', [-1, 5, 101])
@pytest.mark.parametrize('ratio', [0, 0.2, 1, 1.2])
def test_ratio_poison_label(ratio: float, poison_label: int,
dataset_type: str) -> None:
kwargs = dict(ratio=ratio, poison_label=poison_label)
if (poison_label < 0 or poison_label >= 100) or \
(ratio <= 0 or ratio > 1):
with pytest.raises(ValueError):
_ = build_cifar_fake_dataset(dataset_type, **kwargs)
return
cifar = build_cifar_fake_dataset(dataset_type, **kwargs)
assert cifar.poison_label == poison_label
assert len(cifar) == round(CIFAR_TESTSET_NUM * ratio)
assert cifar.num_classes == 1
assert all(map(lambda x: x == poison_label, cifar.targets))
assert len(cifar.data.shape) == 4
@pytest.mark.parametrize(
'dataset_type',
['RangeRatioPoisonLabelCIFAR10', 'RangeRatioPoisonLabelCIFAR100'])
@pytest.mark.parametrize('poison_label', [-1, 1, 101])
@pytest.mark.parametrize('range_ratio', [(0, 0.2), (0.2, 0.5), (0.5, 1),
(0.5, 0.2)])
def test_range_ratio_poison_label(range_ratio: tuple[float,
float], poison_label: int,
dataset_type: str) -> None:
kwargs = dict(range_ratio=range_ratio, poison_label=poison_label)
if poison_label < 0 or poison_label >= 100 or \
not (0 <= range_ratio[0] < range_ratio[1] <= 1):
with pytest.raises(ValueError):
_ = build_cifar_fake_dataset(dataset_type, **kwargs)
return
cifar = build_cifar_fake_dataset(dataset_type, **kwargs)
assert cifar.poison_label == poison_label
assert len(cifar) == round(CIFAR_TESTSET_NUM *
(range_ratio[1] - range_ratio[0]))
assert cifar.num_classes == 1
assert all(map(lambda x: x == poison_label, cifar.targets))
assert len(cifar.data.shape) == 4
|