def generator(dut):
yield dut.reset.eq(1)
yield
yield dut.reset.eq(0)
for i in range(512):
yield dut.sink.data.eq(swap_bytes(seed_to_data(i, True), 4))
yield
if i >= dut.latency:
reference = model.scramble(seed_to_data(i-dut.latency, True), 32)
reference = swap_bytes(reference, 4)
if (yield dut.source.data) != reference:
dut.errors += 1
def generator(dut):
yield dut.reset.eq(1)
yield
yield dut.reset.eq(0)
for i in range(512):
yield dut.sink.data.eq(swap_bytes(seed_to_data(i, True), 4))
yield
if i >= dut.latency:
reference = model.scramble(seed_to_data(i-dut.latency, True), 32)
reference = swap_bytes(reference, 4)
if (yield dut.source.data) != reference:
dut.errors += 1
def test_roundtrip(self, nlanes=4, nconverters=4):
ps = JESD204BPhysicalSettings(l=nlanes, m=nconverters, n=16, np=16)
ts = JESD204BTransportSettings(f=2, s=1, k=16, cs=1)
jesd_settings = JESD204BSettings(ps, ts, did=0x5a, bid=0x5)
transport = TransportLayer(jesd_settings)
link = LinkLayer(16, True)
# tx >>
# # #
tx_samples = [[seed_to_data(j) % (2**16) for j in range(4096)]
for i in range(nconverters)]
# transport
tx_lanes = transport.encode(tx_samples)
# link
tx_data = link.encode(tx_lanes)
# line_coding
tx_encoded_data = encode_lanes(tx_data)
# >> loopback >>
# # #
rx_encoded_data = tx_encoded_data
# >> rx
# # #
# line_coding
rx_data = decode_lanes(rx_encoded_data)
# link
rx_lanes = link.decode(rx_data)
# transport
rx_samples = transport.decode(rx_lanes)
self.assertEqual(tx_samples, rx_samples)
def test_scrambling_loopback(self):
class DUT(Module):
def __init__(self):
scrambler = Scrambler(32)
descrambler = Descrambler(32)
self.comb += descrambler.reset.eq(~scrambler.valid)
self.submodules += scrambler, descrambler
self.comb += descrambler.sink.eq(scrambler.source)
self.sink, self.source = scrambler.sink, descrambler.source
dut = DUT()
dut.errors = 0
datas = [seed_to_data(i, False) for i in range(512)]
def generator(dut):
for data in datas:
yield dut.sink.data.eq(data)
yield
def checker(dut):
yield
yield
yield
for data in datas:
if (yield dut.source.data) != data:
dut.errors += 1
yield
run_simulation(dut, [generator(dut), checker(dut)])
self.assertEqual(dut.errors, 0)
def test_roundtrip(self, nlanes=4, nconverters=4):
ps = JESD204BPhysicalSettings(l=nlanes, m=nconverters, n=16, np=16)
ts = JESD204BTransportSettings(f=2, s=1, k=16, cs=1)
jesd_settings = JESD204BSettings(ps, ts, did=0x5a, bid=0x5)
transport = TransportLayer(jesd_settings)
link = LinkLayer(16, True)
# tx >>
# # #
tx_samples = [[seed_to_data(j)%(2**16) for j in range(4096)]
for i in range(nconverters)]
# transport
tx_lanes = transport.encode(tx_samples)
# link
tx_data = link.encode(tx_lanes)
# line_coding
tx_encoded_data = encode_lanes(tx_data)
# >> loopback >>
# # #
rx_encoded_data = tx_encoded_data
# >> rx
# # #
# line_coding
rx_data = decode_lanes(rx_encoded_data)
# link
rx_lanes = link.decode(rx_data)
# transport
rx_samples = transport.decode(rx_lanes)
self.assertEqual(tx_samples, rx_samples)
def test_link_scrambling(self):
scrambler = Scrambler()
descrambler = Descrambler()
errors = 0
for i in range(128):
input_data = seed_to_data(i)
scrambled_data = scrambler.scramble(input_data, 32)
output_data = descrambler.descramble(scrambled_data, 32)
if input_data != output_data:
errors += 1
self.assertEqual(errors, 0)
def test_link_scrambling(self):
scrambler = Scrambler()
descrambler = Descrambler()
errors = 0
for i in range(128):
input_data = seed_to_data(i)
scrambled_data = scrambler.scramble(input_data, 32)
output_data = descrambler.descramble(scrambled_data, 32)
if input_data != output_data:
errors += 1
self.assertEqual(errors, 0)
def test_transport_mapping(self):
nconverters = 4
input_samples = [[j + i * 256 for j in range(8)]
for i in range(nconverters)]
for nlanes in [1, 2, 4, 8]:
output_samples = self.transport_mapping_test(
nlanes, nconverters, input_samples)
self.assertEqual(input_samples, output_samples)
input_samples = [[seed_to_data(j + i) % (2**16) for j in range(1024)]
for i in range(nconverters)]
for nlanes in [1, 2, 4, 8]:
output_samples = self.transport_mapping_test(
nlanes, nconverters, input_samples)
self.assertEqual(input_samples, output_samples)
def test_transport_mapping(self):
nconverters = 4
input_samples = [[j+i*256 for j in range(8)]
for i in range(nconverters)]
for nlanes in [1, 2, 4, 8]:
output_samples = self.transport_mapping_test(nlanes,
nconverters,
input_samples)
self.assertEqual(input_samples, output_samples)
input_samples = [[seed_to_data(j+i)%(2**16) for j in range(1024)]
for i in range(nconverters)]
for nlanes in [1, 2, 4, 8]:
output_samples = self.transport_mapping_test(nlanes,
nconverters,
input_samples)
self.assertEqual(input_samples, output_samples)
