def test_overflow_condition():
import pytest
pytest.xfail('abs would be > 1 (1.84)')
inputs = [0.92j + 0.92j]
expect = [np.abs(inputs), np.angle(inputs) / np.pi]
dut = ToPolar()
sim_out = simulate(dut, inputs)
assert sims_close(sim_out, expect)
def test_simple_one():
dut = CRC16(init_galois=0x48f9, xor=0x1021)
inp = hex_to_bool_list('8dfc4ff97dffdb11ff438aee29243910365e908970b9475e')
reload = [False] * len(inp)
sims = simulate(dut, inp, reload)
assert sims['MODEL_PYHA'][-1] == 0 # CRC was correct
assert sims_close(sims)
def test_angle_randoms():
np.random.seed(123)
inputs = (np.random.rand(1024) * 2 - 1) + ((np.random.rand(1024) * 2 - 1) * 1j)
inputs *= 0.25
expect = np.angle(inputs) / np.pi
dut = Angle()
sim_out = simulate(dut, inputs)
assert sims_close(sim_out, expected=expect, rtol=1e-1)
