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):
log_sig = esig.stream2logsig(STREAM, depth)
def test_calculation_width_2_depth_2(self):
# tosig implementation
width = 2
depth = 2
log_sig = esig.stream2logsig(STREAM, depth)
self.assert_allclose(log_sig, LOG_SIGNATURE)
def test_calculation_width_2_depth_1(self):
# Pure Python implementation
width = 2
depth = 1
log_sig = esig.stream2logsig(STREAM, depth)
self.assert_allclose(log_sig, LOG_SIGNATURE[:2])
def test_computed_size_vs_size(self):
width = 2
for depth in range(2, 6):
with self.subTest(depth=depth):
log_sig = esig.stream2logsig(STREAM, depth)
size = esig.logsigdim(width, depth)
self.assertEqual(size, log_sig.size)
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):
log_sig = esig.stream2logsig(stream, depth)
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)
log_sig = esig.stream2logsig(stream, depth)
self.assertGreater(log_sig.size, 0)
def transform(x):
return esig.stream2logsig(x, self.depth).reshape(1, -1)
def test_calculation_width_2_depth_0_error(self):
width = 2
depth = 0
with self.assertRaises(ValueError):
log_sig = esig.stream2logsig(STREAM, depth)
