def test_sig_from_transpose_data(self):
# https://github.com/datasig-ac-uk/esig/issues/124
two_dim_stream1 = np.array([[0.11212, 1.1212], [0.11, 0.22]])
sig1 = esig.stream2sig(two_dim_stream1, 2)
two_dim_stream2 = np.transpose(
np.array([[0.11212, 0.11], [1.1212, 0.22]]))
sig2 = esig.stream2sig(two_dim_stream2, 2)
assert_array_equal(sig1, sig2)
def test_calculation_width_2_depth_100_error(self):
# Depth out of bounds for width 2
width = 2
depth = 100
pattern = "Legitimate depth of 2<->\\d+ for records with width 2 exceeds limit"
with self.assertRaisesRegex(RuntimeError, pattern):
sig = esig.stream2sig(STREAM, depth)
def test_calculation_width_2_depth_2(self):
# tosig implementation
width = 2
depth = 2
sig = esig.stream2sig(STREAM, depth)
self.assert_allclose(sig, SIGNATURE)
def test_calculation_width_2_depth_1(self):
# Pure Python implementation
width = 2
depth = 1
sig = esig.stream2sig(STREAM, depth)
self.assert_allclose(sig, SIGNATURE[:3])
def test_dtype_validation_int64_fails(self):
width = 2
depth = 2
stream = np.array([[1, 2], [3, 4], [5, 6]], dtype=np.int64)
with self.assertRaises(TypeError):
sig = esig.stream2sig(stream, depth)
def test_computed_size_vs_size(self):
width = 2
for depth in range(2, 6):
with self.subTest(depth=depth):
sig = esig.stream2sig(STREAM, depth)
size = esig.sigdim(width, depth)
self.assertEqual(size, sig.size)
def test_dtype_validation_float32_passes(self):
width = 2
depth = 2
stream = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]],
dtype=np.float32)
sig = esig.stream2sig(stream, depth)
self.assertGreater(sig.size, 0)
def transform(x):
return esig.stream2sig(x, self.depth)[1:].reshape(-1, 1)
def test_calculation_width_2_depth_0_error(self):
width = 2
depth = 0
with self.assertRaises(ValueError):
sig = esig.stream2sig(STREAM, depth)
