def test_split_1(data):
ds = Splitter(10, test_size=0.3)
train, test = ds.split(data[0])
for d in train:
assert d in data[0]
for d in test:
assert d in data[0]
def test_split_2(data):
np.random.seed(123456)
ds = Splitter(10, test_size=0.1)
with pytest.raises(ValueError):
ds.split(data[1][1:])
_, test = ds.split(data[1])
assert test[0] in data[1]
def test_data_splitter_2():
np.random.seed(123456)
ds = Splitter(10)
assert ds.size == 10
train, test = ds.split()
assert train.size == 8
assert test.size == 2
def test_split_1(data):
np.random.seed(123456)
ds = Splitter(10, test_size=0.3)
train, test = ds.split(data[0])
for d in train:
assert d in data[0]
for d in test:
assert d in data[0]
def test_split_2(data):
ds = Splitter(10, test_size=0.1)
try:
ds.split(data[1][1:])
except ValueError:
assert True
else:
assert False, 'should got ValueError'
_, test = ds.split(data[1])
assert test[0] in data[1]
def test_cv_1(data):
ds = Splitter(10, test_size=0, cv=5)
cv = ds.cv()
tmp = []
for x, x_ in cv:
assert isinstance(x, np.ndarray)
assert isinstance(x_, np.ndarray)
assert x.size + x_.size == 10
tmp.append(x_)
tmp = np.concatenate(tmp)
tmp = np.sort(tmp)
assert np.array_equal(tmp, data[0])
def test_cv_3(data):
ds = Splitter(10, test_size=0, cv=data[5])
cv = ds.cv()
tmp = []
for x, x_ in cv:
assert isinstance(x, np.ndarray)
assert isinstance(x_, np.ndarray)
assert x.size + x_.size == 10
tmp.append(x_)
sizes = np.sort([x.size for x in tmp])
assert np.array_equal(sizes, [2, 4, 4])
tmp = np.concatenate(tmp)
tmp = np.sort(tmp)
assert np.array_equal(tmp, data[0])
def test_cv_2(data):
ds = Splitter(10, test_size=0.2, cv=4)
cv = ds.cv()
tmp = []
tmp_x_ = []
for x, x_, _x_ in cv:
assert isinstance(x, np.ndarray)
assert isinstance(x_, np.ndarray)
assert isinstance(_x_, np.ndarray)
assert x.size + x_.size == 8
assert _x_.size == 2
tmp_x_.append(_x_)
tmp.append(x_)
assert np.array_equal(tmp_x_[1], tmp_x_[3])
tmp = np.concatenate(tmp)
assert tmp.size == 8
tmp = np.concatenate([tmp, _x_])
tmp = np.sort(tmp)
assert np.array_equal(tmp, data[0])
def test_roll_2():
ds = Splitter(10, test_size=0.3)
train, test = ds.split()
assert train.size == 7
assert test.size == 3
ds.roll(test_size=0.3)
train_, test_ = ds.split()
assert not np.array_equal(train, train_)
assert not np.array_equal(test, test_)
def test_roll_1():
ds = Splitter(10, test_size=0.3)
train, test = ds.split()
assert train.size == 7
assert test.size == 3
ds.roll(test_size=0.4)
train, test = ds.split()
assert train.size == 6
assert test.size == 4
def test_roll_1():
np.random.seed(123456)
ds = Splitter(10, test_size=0.3)
train, test = ds.split()
assert train.size == 7
assert test.size == 3
ds.roll(test_size=0.4)
train, test = ds.split()
assert train.size == 6
assert test.size == 4
def test_split_3(data):
ds = Splitter(10)
try:
ds.split(data[0])
ds.split(data[1])
ds.split(data[2])
ds.split(data[3])
ds.split(data[4])
except TypeError:
assert False, 'should not got TypeError'
else:
assert True
try:
ds.split([1])
except ValueError:
assert True
else:
assert False, 'should got ValueError'
try:
ds.split('ss')
except TypeError:
assert True
else:
assert False, 'should got TypeError'
def test_data_splitter_2():
ds = Splitter(10)
assert ds.size == 10
train, test = ds.split()
assert train.size == 8
assert test.size == 2
def test_split_4(data):
ds = Splitter(10)
x, x_, y, y_ = ds.split(data[3], data[4])
assert isinstance(x, np.ndarray)
def test_split_3(data):
np.random.seed(123456)
ds = Splitter(10)
ds.split(data[0])
ds.split(data[1])
ds.split(data[2])
ds.split(data[3])
ds.split(data[4])
with pytest.raises(ValueError):
ds.split([1])
with pytest.raises(TypeError):
ds.split(data[0])
ds.split('ss')
def test_split_4(data):
np.random.seed(123456)
ds = Splitter(10)
x, x_, y, y_ = ds.split(data[3], data[4])
assert isinstance(x, np.ndarray)
