def test_adjust_sequences_5():
x = [
np.random.randn(128, 5),
np.random.randn(50, 5),
np.random.randn(100, 5),
]
new = signal.adjust_sequences(x, dtype=np.float64)
assert new.dtype == np.float64
def test_adjust_sequences_3():
x = [
np.random.randn(128, 5),
np.random.randn(50, 5),
np.random.randn(100, 5),
]
new = signal.adjust_sequences(x, 64)
assert new.shape[1] == 64
def test_adjust_sequences_2():
x = [
np.random.randn(128, 5),
np.random.randn(50, 5),
np.random.randn(100, 5),
]
min_len = min([i.shape[0] for i in x])
new = signal.adjust_sequences(x, np.min)
assert min_len == new.shape[1]
def test_adjust_sequences_1():
x = [
np.random.randn(128, 5),
np.random.randn(50, 5),
np.random.randn(100, 5),
]
max_len = max([i.shape[0] for i in x])
new = signal.adjust_sequences(x)
assert max_len == new.shape[1]
def test_adjust_sequences_7():
x = [
np.random.randn(128, 5),
np.random.randn(50, 5),
np.random.randn(100, 5),
]
try:
new = signal.adjust_sequences(x, fill=0.0)
passed = True
except Exception:
passed = False
assert passed
def test_adjust_sequences_8():
x = [
np.random.randn(128, 5),
np.random.randn(50, 5),
np.random.randn(100, 5),
]
passed = False
try:
new = signal.adjust_sequences(x, fill="Something")
except TypeError:
passed = True
assert passed