def test_003(self):
# Test scenario where we have defined a puncture pattern with
# more bits than the puncsize with a delay. The python code
# doesn't account for this when creating self.expected, but
# this should be equivalent to a puncpat of the correct size.
self.puncsize = 4
self.puncpat0 = 0x5555 # too many bits set
self.puncpat1 = 0x55 # num bits = puncsize
self.delay = 1
self.sym = 0
src = blocks.vector_source_b(self.src_data)
op0 = fec.depuncture_bb(self.puncsize, self.puncpat0, self.delay,
self.sym)
op1 = fec.depuncture_bb(self.puncsize, self.puncpat1, self.delay,
self.sym)
dst0 = blocks.vector_sink_b()
dst1 = blocks.vector_sink_b()
self.tb.connect(src, op0, dst0)
self.tb.connect(src, op1, dst1)
self.tb.run()
dst_data0 = list(dst0.data())
for i in xrange(len(dst_data0)):
dst_data0[i] = int(dst_data0[i])
dst_data1 = list(dst1.data())
for i in xrange(len(dst_data1)):
dst_data1[i] = int(dst_data1[i])
self.assertEqual(dst_data1, dst_data0)
def test_003(self):
# Test scenario where we have defined a puncture pattern with
# more bits than the puncsize with a delay. The python code
# doesn't account for this when creating self.expected, but
# this should be equivalent to a puncpat of the correct size.
self.puncsize = 4
self.puncpat0 = 0x5555 # too many bits set
self.puncpat1 = 0x55 # num bits = puncsize
self.delay = 1
src = blocks.vector_source_b(self.src_data)
op0 = fec.puncture_bb(self.puncsize, self.puncpat0, self.delay)
op1 = fec.puncture_bb(self.puncsize, self.puncpat1, self.delay)
dst0 = blocks.vector_sink_b()
dst1 = blocks.vector_sink_b()
self.tb.connect(src, op0, dst0)
self.tb.connect(src, op1, dst1)
self.tb.run()
dst_data0 = list(dst0.data())
for i in xrange(len(dst_data0)):
dst_data0[i] = int(dst_data0[i])
dst_data1 = list(dst1.data())
for i in xrange(len(dst_data1)):
dst_data1[i] = int(dst_data1[i])
self.assertEqual(dst_data1, dst_data0)
def test_027c_fully_unconnected_output(self):
tb = gr.top_block()
hb = gr.hier_block2("block",
gr.io_signature(1, 1, 1),
gr.io_signature(1, 1, 1))
hsrc = blocks.vector_sink_b()
hb.connect(hb, hsrc) # wire input internally
src = blocks.vector_source_b([1, ])
dst = blocks.vector_sink_b()
tb.connect(src, hb) # hb's output is not connected internally or externally
self.assertRaises(RuntimeError,
lambda: tb.run())
def test_027c_fully_unconnected_output(self):
tb = gr.top_block()
hb = gr.hier_block2("block", gr.io_signature(1, 1, 1),
gr.io_signature(1, 1, 1))
hsrc = blocks.vector_sink_b()
hb.connect(hb, hsrc) # wire input internally
src = blocks.vector_source_b([
1,
])
dst = blocks.vector_sink_b()
tb.connect(src,
hb) # hb's output is not connected internally or externally
self.assertRaises(RuntimeError, lambda: tb.run())
def helper(self, v0, v1, fft_length, preamble):
tb = self.tb
src0 = blocks.vector_source_c(v0)
src1 = blocks.vector_source_b(v1)
s2v = blocks.stream_to_vector(gr.sizeof_gr_complex, fft_length)
# print "len(v) = %d" % (len(v))
op = digital.ofdm_insert_preamble(fft_length, preamble)
v2s = blocks.vector_to_stream(gr.sizeof_gr_complex, fft_length)
dst0 = blocks.vector_sink_c()
dst1 = blocks.vector_sink_b()
tb.connect(src0, s2v, (op, 0))
tb.connect(src1, (op, 1))
tb.connect((op, 0), v2s, dst0)
tb.connect((op, 1), dst1)
tb.run()
r0 = dst0.data()
r0v = []
for i in range(len(r0) // fft_length):
r0v.append(r0[i * fft_length:(i + 1) * fft_length])
r1 = dst1.data()
self.assertEqual(len(r0v), len(r1))
return (r1, r0v)
def helper(self, v0, v1, fft_length, preamble):
tb = self.tb
src0 = blocks.vector_source_c(v0)
src1 = blocks.vector_source_b(v1)
s2v = blocks.stream_to_vector(gr.sizeof_gr_complex, fft_length)
# print "len(v) = %d" % (len(v))
op = digital.ofdm_insert_preamble(fft_length, preamble)
v2s = blocks.vector_to_stream(gr.sizeof_gr_complex, fft_length)
dst0 = blocks.vector_sink_c()
dst1 = blocks.vector_sink_b()
tb.connect(src0, s2v, (op, 0))
tb.connect(src1, (op, 1))
tb.connect((op, 0), v2s, dst0)
tb.connect((op, 1), dst1)
tb.run()
r0 = dst0.data()
r0v = []
for i in range(len(r0)//fft_length):
r0v.append(r0[i*fft_length:(i+1)*fft_length])
r1 = dst1.data()
self.assertEqual(len(r0v), len(r1))
return (r1, r0v)
def test_004(self):
# Test normal operation of the depuncture block without
# specifying the fill symbol (defaults to 127).
self.puncsize = 8
self.puncpat = 0xEF
self.delay = 0
self.sym = 127
self.puncholes = 1
self.depuncture_setup()
src = blocks.vector_source_b(self.src_data)
op = fec.depuncture_bb(self.puncsize, self.puncpat,
self.delay)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
dst_data = list(dst.data())
for i in xrange(len(dst_data)):
dst_data[i] = int(dst_data[i])
self.assertEqual(self.expected, dst_data)
def test_002(self):
# Test scenario where we have defined a puncture pattern with
# more bits than the puncsize.
self.puncsize = 4
self.puncpat = 0x5555
self.delay = 0
self.sym = 0
self.puncholes = 2
self.depuncture_setup()
src = blocks.vector_source_b(self.src_data)
op = fec.depuncture_bb(self.puncsize, self.puncpat,
self.delay, self.sym)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
dst_data = list(dst.data())
for i in xrange(len(dst_data)):
dst_data[i] = int(dst_data[i])
self.assertEqual(self.expected, dst_data)
def test_001_detect(self):
""" Send two bursts, with zeros in between, and check
they are both detected at the correct position and no
false alarms occur """
n_zeros = 15
fft_len = 32
cp_len = 4
sig_len = (fft_len + cp_len) * 10
sync_symbol = [(random.randint(0, 1) * 2) - 1
for x in range(fft_len / 2)] * 2
tx_signal = [0,] * n_zeros + \
sync_symbol[-cp_len:] + \
sync_symbol + \
[(random.randint(0, 1)*2)-1 for x in range(sig_len)]
tx_signal = tx_signal * 2
add = blocks.add_cc()
sync = digital.ofdm_sync_sc_cfb(fft_len, cp_len)
sink_freq = blocks.vector_sink_f()
sink_detect = blocks.vector_sink_b()
self.tb.connect(blocks.vector_source_c(tx_signal), (add, 0))
self.tb.connect(analog.noise_source_c(analog.GR_GAUSSIAN, .01),
(add, 1))
self.tb.connect(add, sync)
self.tb.connect((sync, 0), sink_freq)
self.tb.connect((sync, 1), sink_detect)
self.tb.run()
sig1_detect = sink_detect.data()[0:len(tx_signal) / 2]
sig2_detect = sink_detect.data()[len(tx_signal) / 2:]
self.assertTrue(
abs(sig1_detect.index(1) - (n_zeros + fft_len + cp_len)) < cp_len)
self.assertTrue(
abs(sig2_detect.index(1) - (n_zeros + fft_len + cp_len)) < cp_len)
self.assertEqual(numpy.sum(sig1_detect), 1)
self.assertEqual(numpy.sum(sig2_detect), 1)
def test_003_12bits_formatter_object (self):
# 3 PDUs: | | | |
data = (1, 2, 3, 4, 1, 2, 1, 2, 3, 4)
tagname = "packet_len"
tag1 = gr.tag_t()
tag1.offset = 0
tag1.key = pmt.string_to_symbol(tagname)
tag1.value = pmt.from_long(4)
tag2 = gr.tag_t()
tag2.offset = 4
tag2.key = pmt.string_to_symbol(tagname)
tag2.value = pmt.from_long(2)
tag3 = gr.tag_t()
tag3.offset = 6
tag3.key = pmt.string_to_symbol(tagname)
tag3.value = pmt.from_long(4)
src = blocks.vector_source_b(data, False, 1, (tag1, tag2, tag3))
formatter_object = digital.packet_header_default(12, tagname)
header = digital.packet_headergenerator_bb(formatter_object.formatter(), tagname)
sink = blocks.vector_sink_b()
self.tb.connect(src, header, sink)
self.tb.run()
expected_data = (
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0
)
self.assertEqual(sink.data(), expected_data)
def test_002_32bits (self):
# 3 PDUs: | | | |
data = (1, 2, 3, 4, 1, 2, 1, 2, 3, 4)
tagname = "packet_len"
tag1 = gr.tag_t()
tag1.offset = 0
tag1.key = pmt.string_to_symbol(tagname)
tag1.value = pmt.from_long(4)
tag2 = gr.tag_t()
tag2.offset = 4
tag2.key = pmt.string_to_symbol(tagname)
tag2.value = pmt.from_long(2)
tag3 = gr.tag_t()
tag3.offset = 6
tag3.key = pmt.string_to_symbol(tagname)
tag3.value = pmt.from_long(4)
src = blocks.vector_source_b(data, False, 1, (tag1, tag2, tag3))
header = digital.packet_headergenerator_bb(32, tagname)
sink = blocks.vector_sink_b()
self.tb.connect(src, header, sink)
self.tb.run()
expected_data = (
# | Number of symbols | Packet number | Parity
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
)
self.assertEqual(sink.data(), expected_data)
def test_004_8bits_formatter_ofdm (self):
occupied_carriers = ((1, 2, 3, 5, 6, 7),)
# 3 PDUs: | | | |
data = (1, 2, 3, 4, 1, 2, 1, 2, 3, 4)
tagname = "packet_len"
tag1 = gr.tag_t()
tag1.offset = 0
tag1.key = pmt.string_to_symbol(tagname)
tag1.value = pmt.from_long(4)
tag2 = gr.tag_t()
tag2.offset = 4
tag2.key = pmt.string_to_symbol(tagname)
tag2.value = pmt.from_long(2)
tag3 = gr.tag_t()
tag3.offset = 6
tag3.key = pmt.string_to_symbol(tagname)
tag3.value = pmt.from_long(4)
src = blocks.vector_source_b(data, False, 1, (tag1, tag2, tag3))
formatter_object = digital.packet_header_ofdm(occupied_carriers, 1, tagname)
self.assertEqual(formatter_object.header_len(), 6)
self.assertEqual(pmt.symbol_to_string(formatter_object.len_tag_key()), tagname)
header = digital.packet_headergenerator_bb(formatter_object.formatter(), tagname)
sink = blocks.vector_sink_b()
self.tb.connect(src, header, sink)
self.tb.run()
expected_data = (
0, 0, 1, 0, 0, 0,
0, 1, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0
)
self.assertEqual(sink.data(), expected_data)
def test_004_ofdm_packets (self):
"""
Send several bursts using ofdm_tx, see if the number of detects is correct.
Burst lengths and content are random.
"""
n_bursts = 42
fft_len = 64
cp_len = 16
# Here, coarse freq offset is allowed
max_freq_offset = 2*numpy.pi/fft_len * 4
freq_offset = ((2 * random.random()) - 1) * max_freq_offset
tx_signal = []
packets = []
tagname = "packet_length"
min_packet_length = 10
max_packet_length = 50
sync_sequence = [random.randint(0, 1)*2-1 for x in range(fft_len/2)]
for i in xrange(n_bursts):
packet_length = random.randint(min_packet_length,
max_packet_length+1)
packet = [random.randint(0, 255) for i in range(packet_length)]
packets.append(packet)
data, tags = tagged_streams.packets_to_vectors(packets, tagname, vlen=1)
total_length = len(data)
src = blocks.vector_source_b(data, False, 1, tags)
mod = ofdm_tx(packet_length_tag_key=tagname)
sync = digital.ofdm_sync_sc_cfb(fft_len, cp_len)
sink_freq = blocks.vector_sink_f()
sink_detect = blocks.vector_sink_b()
noise_level = 0.005
channel = channels.channel_model(noise_level, freq_offset / 2 / numpy.pi)
self.tb.connect(src, mod, channel, sync, sink_freq)
self.tb.connect((sync, 1), sink_detect)
self.tb.run()
self.assertEqual(numpy.sum(sink_detect.data()), n_bursts)
def __init__(self, constellation, differential, data_length=None, src_data=None, freq_offset=True):
"""
Args:
constellation: a constellation object
differential: whether differential encoding is used
data_length: the number of bits of data to use
src_data: a list of the bits to use
freq_offset: whether to use a frequency offset in the channel
"""
super(rec_test_tb, self).__init__()
# Transmission Blocks
if src_data is None:
self.src_data = tuple([rndm.randint(0, 1) for i in range(0, data_length)])
else:
self.src_data = src_data
packer = blocks.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST)
src = blocks.vector_source_b(self.src_data)
mod = generic_mod(constellation, differential=differential)
# Channel
if freq_offset:
channel = channel_model(NOISE_VOLTAGE, FREQUENCY_OFFSET, TIMING_OFFSET)
else:
channel = channel_model(NOISE_VOLTAGE, 0, TIMING_OFFSET)
# Receiver Blocks
if freq_offset:
demod = generic_demod(constellation, differential=differential, freq_bw=FREQ_BW, phase_bw=PHASE_BW)
else:
demod = generic_demod(constellation, differential=differential, freq_bw=0, phase_bw=0)
self.dst = blocks.vector_sink_b()
self.connect(src, packer, mod, channel, demod, self.dst)
def test_002(self):
# Test scenario where we have defined a puncture pattern with
# more bits than the puncsize.
self.puncsize = 4
self.puncpat = 0x5555
self.delay = 0
self.sym = 0
self.puncholes = 2
self.depuncture_setup()
src = blocks.vector_source_b(self.src_data)
op = fec.depuncture_bb(self.puncsize, self.puncpat, self.delay,
self.sym)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
dst_data = list(dst.data())
for i in xrange(len(dst_data)):
dst_data[i] = int(dst_data[i])
self.assertEqual(self.expected, dst_data)
def test_00(self):
expected_result = (
0x00, 0x11, 0x22, 0x33,
0x44, 0x55, 0x66, 0x77,
0x88, 0x99, 0xaa, 0xbb,
0xcc, 0xdd, 0xee, 0xff)
# Filter taps to expand the data to oversample by 8
# Just using a RRC for some basic filter shape
taps = filter.firdes.root_raised_cosine(8, 8, 1.0, 0.5, 21)
src = blocks.vector_source_b(expected_result)
frame = digital.simple_framer(4)
unpack = blocks.packed_to_unpacked_bb(1, gr.GR_MSB_FIRST)
expand = filter.interp_fir_filter_fff(8, taps)
b2f = blocks.char_to_float()
mult2 = blocks.multiply_const_ff(2)
sub1 = blocks.add_const_ff(-1)
op = digital.simple_correlator(4)
dst = blocks.vector_sink_b()
self.tb.connect(src, frame, unpack, b2f, mult2, sub1, expand)
self.tb.connect(expand, op, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(expected_result, result_data)
def test_004_8bits_formatter_ofdm(self):
occupied_carriers = ((1, 2, 3, 5, 6, 7), )
# 3 PDUs: | | | |
data = (1, 2, 3, 4, 1, 2, 1, 2, 3, 4)
tagname = "packet_len"
tag1 = gr.tag_t()
tag1.offset = 0
tag1.key = pmt.string_to_symbol(tagname)
tag1.value = pmt.from_long(4)
tag2 = gr.tag_t()
tag2.offset = 4
tag2.key = pmt.string_to_symbol(tagname)
tag2.value = pmt.from_long(2)
tag3 = gr.tag_t()
tag3.offset = 6
tag3.key = pmt.string_to_symbol(tagname)
tag3.value = pmt.from_long(4)
src = blocks.vector_source_b(data, False, 1, (tag1, tag2, tag3))
formatter_object = digital.packet_header_ofdm(occupied_carriers, 1,
tagname)
self.assertEqual(formatter_object.header_len(), 6)
self.assertEqual(pmt.symbol_to_string(formatter_object.len_tag_key()),
tagname)
header = digital.packet_headergenerator_bb(
formatter_object.formatter(), tagname)
sink = blocks.vector_sink_b()
self.tb.connect(src, header, sink)
self.tb.run()
expected_data = (0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0)
self.assertEqual(sink.data(), expected_data)
def test_001_detect (self):
""" Send two bursts, with zeros in between, and check
they are both detected at the correct position and no
false alarms occur """
n_zeros = 15
fft_len = 32
cp_len = 4
sig_len = (fft_len + cp_len) * 10
sync_symbol = [(random.randint(0, 1)*2)-1 for x in range(fft_len/2)] * 2
tx_signal = [0,] * n_zeros + \
sync_symbol[-cp_len:] + \
sync_symbol + \
[(random.randint(0, 1)*2)-1 for x in range(sig_len)]
tx_signal = tx_signal * 2
add = blocks.add_cc()
sync = digital.ofdm_sync_sc_cfb(fft_len, cp_len)
sink_freq = blocks.vector_sink_f()
sink_detect = blocks.vector_sink_b()
self.tb.connect(blocks.vector_source_c(tx_signal), (add, 0))
self.tb.connect(analog.noise_source_c(analog.GR_GAUSSIAN, .01), (add, 1))
self.tb.connect(add, sync)
self.tb.connect((sync, 0), sink_freq)
self.tb.connect((sync, 1), sink_detect)
self.tb.run()
sig1_detect = sink_detect.data()[0:len(tx_signal)/2]
sig2_detect = sink_detect.data()[len(tx_signal)/2:]
self.assertTrue(abs(sig1_detect.index(1) - (n_zeros + fft_len + cp_len)) < cp_len)
self.assertTrue(abs(sig2_detect.index(1) - (n_zeros + fft_len + cp_len)) < cp_len)
self.assertEqual(numpy.sum(sig1_detect), 1)
self.assertEqual(numpy.sum(sig2_detect), 1)
def test_003_multiburst (self):
""" Send several bursts, see if the number of detects is correct.
Burst lengths and content are random.
"""
n_bursts = 42
fft_len = 32
cp_len = 4
tx_signal = []
for i in xrange(n_bursts):
sync_symbol = [(random.randint(0, 1)*2)-1 for x in range(fft_len/2)] * 2
tx_signal += [0,] * random.randint(0, 2*fft_len) + \
sync_symbol[-cp_len:] + \
sync_symbol + \
[(random.randint(0, 1)*2)-1 for x in range(fft_len * random.randint(5,23))]
add = blocks.add_cc()
sync = digital.ofdm_sync_sc_cfb(fft_len, cp_len)
sink_freq = blocks.vector_sink_f()
sink_detect = blocks.vector_sink_b()
channel = channels.channel_model(0.005)
self.tb.connect(blocks.vector_source_c(tx_signal), channel, sync)
self.tb.connect((sync, 0), sink_freq)
self.tb.connect((sync, 1), sink_detect)
self.tb.run()
n_bursts_detected = numpy.sum(sink_detect.data())
# We allow for one false alarm or missed burst
self.assertTrue(abs(n_bursts_detected - n_bursts) <= 1,
msg="""Because of statistics, it is possible (though unlikely)
that the number of detected bursts differs slightly. If the number of detects is
off by one or two, run the test again and see what happen.
Detection error was: %d """ % (numpy.sum(sink_detect.data()) - n_bursts)
)
def test_003_12bits_formatter_object(self):
# 3 PDUs: | | | |
data = (1, 2, 3, 4, 1, 2, 1, 2, 3, 4)
tagname = "packet_len"
tag1 = gr.tag_t()
tag1.offset = 0
tag1.key = pmt.string_to_symbol(tagname)
tag1.value = pmt.from_long(4)
tag2 = gr.tag_t()
tag2.offset = 4
tag2.key = pmt.string_to_symbol(tagname)
tag2.value = pmt.from_long(2)
tag3 = gr.tag_t()
tag3.offset = 6
tag3.key = pmt.string_to_symbol(tagname)
tag3.value = pmt.from_long(4)
src = blocks.vector_source_b(data, False, 1, (tag1, tag2, tag3))
formatter_object = digital.packet_header_default(12, tagname)
header = digital.packet_headergenerator_bb(
formatter_object.formatter(), tagname)
sink = blocks.vector_sink_b()
self.tb.connect(src, header, sink)
self.tb.run()
expected_data = (0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0)
self.assertEqual(sink.data(), expected_data)
def test_002(self):
code = tuple(string_to_1_0_list(default_access_code))
access_code = to_1_0_string(code)
header = tuple(
2 * [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0]) # len=2
pad = (0, ) * 100
src_data = code + header + (0, 1, 0, 0, 1, 0, 0, 0) + (0, 1, 0, 0, 1,
0, 0, 1) + pad
expected_data = 'HI'
rcvd_pktq = gr.msg_queue()
src = blocks.vector_source_b(src_data)
correlator = digital.correlate_access_code_bb(access_code, 0)
framer_sink = digital.framer_sink_1(rcvd_pktq)
vsnk = blocks.vector_sink_b()
self.tb.connect(src, correlator, framer_sink)
self.tb.connect(correlator, vsnk)
self.tb.run()
result_data = rcvd_pktq.delete_head()
result_data = result_data.to_string()
self.assertEqual(expected_data, result_data)
def test_003_multiburst(self):
""" Send several bursts, see if the number of detects is correct.
Burst lengths and content are random.
"""
n_bursts = 42
fft_len = 32
cp_len = 4
tx_signal = []
for i in xrange(n_bursts):
sync_symbol = [(random.randint(0, 1) * 2) - 1
for x in range(fft_len / 2)] * 2
tx_signal += [0,] * random.randint(0, 2*fft_len) + \
sync_symbol[-cp_len:] + \
sync_symbol + \
[(random.randint(0, 1)*2)-1 for x in range(fft_len * random.randint(5,23))]
add = blocks.add_cc()
sync = digital.ofdm_sync_sc_cfb(fft_len, cp_len)
sink_freq = blocks.vector_sink_f()
sink_detect = blocks.vector_sink_b()
channel = channels.channel_model(0.005)
self.tb.connect(blocks.vector_source_c(tx_signal), channel, sync)
self.tb.connect((sync, 0), sink_freq)
self.tb.connect((sync, 1), sink_detect)
self.tb.run()
n_bursts_detected = numpy.sum(sink_detect.data())
# We allow for one false alarm or missed burst
self.assertTrue(
abs(n_bursts_detected - n_bursts) <= 1,
msg="""Because of statistics, it is possible (though unlikely)
that the number of detected bursts differs slightly. If the number of detects is
off by one or two, run the test again and see what happen.
Detection error was: %d """ % (numpy.sum(sink_detect.data()) - n_bursts))
def test_regen2(self):
tb = self.tb
data = 200*[0,]
data[9] = 1
data[99] = 1
expected_result = 200*[0,]
expected_result[9] = 1
expected_result[19] = 1
expected_result[29] = 1
expected_result[39] = 1
expected_result[99] = 1
expected_result[109] = 1
expected_result[119] = 1
expected_result[129] = 1
src = blocks.vector_source_b(data, False)
regen = blocks.regenerate_bb(10, 3)
dst = blocks.vector_sink_b()
tb.connect(src, regen)
tb.connect(regen, dst)
tb.run ()
dst_data = dst.data()
self.assertEqual(tuple(expected_result), dst_data)
def test_300(self):
input_data = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9)
src = blocks.vector_source_b(input_data)
dst = blocks.vector_sink_b()
tb = gr.top_block()
tb.connect(src, dst)
tb.run()
self.assertEquals(input_data, dst.data())
def test_300(self):
input_data = (0,1,2,3,4,5,6,7,8,9)
src = blocks.vector_source_b(input_data)
dst = blocks.vector_sink_b()
tb = gr.top_block()
tb.connect(src, dst)
tb.run()
self.assertEquals(input_data, dst.data())
def test_003(self):
src_data = expected_results = map(lambda x: random.randint(0,3), range(10));
src = blocks.vector_source_b( src_data );
pack = blocks.pack_k_bits_bb(2);
unpack = blocks.unpack_k_bits_bb(2);
snk = blocks.vector_sink_b();
self.tb.connect(src,unpack,pack,snk);
self.tb.run()
self.assertEqual(list(expected_results), list(snk.data()));
def test_float_to_char_scale(self):
src_data = (1.0, 2.0, 3.0, 4.0, 5.0)
expected_data = (5, 10, 15, 20, 25)
src = blocks.vector_source_f(src_data)
op = blocks.float_to_char(1, 5)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def test_001(self):
src_data = (1,0,1,1,0,1,1,0)
expected_results = (1,0,1,1,0,1,1,0)
src = blocks.vector_source_b(src_data,False)
op = blocks.pack_k_bits_bb(1)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_results, dst.data())
def test_float_to_uchar(self):
src_data = (1.0, -2.0, 3.0, -4.0, 256.0)
expected_data = (1, 0, 3, 0, 255)
src = blocks.vector_source_f(src_data)
op = blocks.float_to_uchar()
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def test_short_to_char(self):
src_data = (256, 512, 768, 1024, 1280)
expected_data = (1, 2, 3, 4, 5)
src = blocks.vector_source_s(src_data)
op = blocks.short_to_char()
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def test_float_to_char_identity(self):
src_data = (1.0, 2.0, 3.0, 4.0, 5.0)
expected_data = (1, 2, 3, 4, 5)
src = blocks.vector_source_f(src_data)
op = blocks.float_to_char()
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def test_float_to_char_scale(self):
src_data = (1.0, 2.0, 3.0, 4.0, 5.0)
expected_data = (5, 10, 15, 20, 25)
src = blocks.vector_source_f(src_data)
op = blocks.float_to_char(1, 5)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def test_short_to_char(self):
src_data = (256, 512, 768, 1024, 1280)
expected_data = (1, 2, 3, 4, 5)
src = blocks.vector_source_s(src_data)
op = blocks.short_to_char()
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def test_float_to_uchar(self):
src_data = (1.0, -2.0, 3.0, -4.0, 256.0)
expected_data = (1, 0, 3, 0, 255)
src = blocks.vector_source_f(src_data)
op = blocks.float_to_uchar()
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def help_bb(self, src_data, exp_data, op):
for s in zip(range(len(src_data)), src_data):
src = blocks.vector_source_b(s[1])
self.tb.connect(src, (op, s[0]))
dst = blocks.vector_sink_b()
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(exp_data, result_data)
def test_001_t (self):
# | Spur spike 1 | Plateau | Spur spike 2
test_signal = (0, 1, .2, .4, .6, .8, 1, 1, 1, 1, 1, .8, .6, .4, 1, 0)
expected_sig = (0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0)
# | Center of Plateau
sink = blocks.vector_sink_b()
self.tb.connect(blocks.vector_source_f(test_signal), blocks.plateau_detector_fb(5), sink)
self.tb.run ()
self.assertEqual(expected_sig, sink.data())
def test_scrambler_descrambler(self):
src_data = (1,)*1000
src = blocks.vector_source_b(src_data, False)
scrambler = digital.scrambler_bb(0x8a, 0x7F, 7) # CCSDS 7-bit scrambler
descrambler = digital.descrambler_bb(0x8a, 0x7F, 7)
dst = blocks.vector_sink_b()
self.tb.connect(src, scrambler, descrambler, dst)
self.tb.run()
self.assertEqual(tuple(src_data[:-8]), dst.data()[8:]) # skip garbage during synchronization
def test_and_const_bb(self):
src_data = (1, 2, 3, 0x50, 0x11)
expected_result = (0, 2, 2, 0x00, 0x00)
src = blocks.vector_source_b(src_data)
op = blocks.and_const_bb(0xAA)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(dst.data(), expected_result)
def test_029_singleton_disconnect(self):
tb = gr.top_block()
src = blocks.vector_source_b([1, ])
dst = blocks.vector_sink_b()
tb.connect(src, dst)
tb.disconnect(src) # Singleton disconnect
tb.connect(src, dst)
tb.run()
self.assertEquals(dst.data(), (1,))
def help_bb (self, src_data, exp_data, op):
for s in zip (range (len (src_data)), src_data):
src = blocks.vector_source_b (s[1])
self.tb.connect (src, (op, s[0]))
dst = blocks.vector_sink_b ()
self.tb.connect (op, dst)
self.tb.run ()
result_data = dst.data ()
self.assertEqual (exp_data, result_data)
def test_and_const_bb (self):
src_data = (1, 2, 3, 0x50, 0x11)
expected_result = (0, 2, 2, 0x00, 0x00)
src = blocks.vector_source_b(src_data)
op = blocks.and_const_bb (0xAA)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(dst.data(), expected_result)
def test_additive_scrambler_reset(self):
src_data = (1,)*1000
src = blocks.vector_source_b(src_data, False)
scrambler = digital.additive_scrambler_bb(0x8a, 0x7f, 7, 100)
descrambler = digital.additive_scrambler_bb(0x8a, 0x7f, 7, 100)
dst = blocks.vector_sink_b()
self.tb.connect(src, scrambler, descrambler, dst)
self.tb.run()
self.assertEqual(src_data, dst.data())
def test_float_to_char_identity(self):
src_data = (1.0, 2.0, 3.0, 4.0, 5.0)
expected_data = (1, 2, 3, 4, 5)
src = blocks.vector_source_f(src_data)
op = blocks.float_to_char()
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(expected_data, dst.data())
def test_copy(self):
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
expected_result = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
src = blocks.vector_source_b(src_data)
op = blocks.copy(gr.sizeof_char)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
dst_data = dst.data()
self.assertEqual(expected_result, dst_data)
def test_copy(self):
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
expected_result = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
src = blocks.vector_source_b(src_data)
op = blocks.copy(gr.sizeof_char)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
dst_data = dst.data()
self.assertEqual(expected_result, dst_data)
def __init__(self):
"""
"""
v2s = blocks.vector_to_stream(gr.sizeof_char,
atsc.sizeof_atsc_mpeg_packet)
self.sink = blocks.vector_sink_b()
gr.hier_block2.__init__(self, "vector_sink_ts", v2s.input_signature(),
gr.io_signature(0, 0, 0))
self.connect(self, v2s, self.sink)
def test_001(self):
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
expected_data = (5, 10)
src = blocks.vector_source_b(src_data)
op = blocks.keep_one_in_n(gr.sizeof_char, 5)
dst = blocks.vector_sink_b()
print "HERE"
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(dst.data(), expected_data)
def __init__(self):
"""
"""
v2s = blocks.vector_to_stream(gr.sizeof_char, atsc.sizeof_atsc_mpeg_packet)
self.sink = blocks.vector_sink_b()
gr.hier_block2.__init__(self, "vector_sink_ts",
v2s.input_signature(),
gr.io_signature(0, 0, 0))
self.connect(self, v2s, self.sink)
def test_001(self):
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
expected_data = (5, 10)
src = blocks.vector_source_b(src_data);
op = blocks.keep_one_in_n(gr.sizeof_char, 5)
dst = blocks.vector_sink_b()
print "HERE"
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(dst.data(), expected_data)
def test_000(self):
# Just run some data through and make sure it doesn't puke.
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
src = blocks.pdu_to_tagged_stream(blocks.byte_t)
snk3 = blocks.tagged_stream_to_pdu(blocks.byte_t)
snk2 = blocks.vector_sink_b()
snk = blocks.tag_debug(1, "test")
snk.set_display(False)
dbg = blocks.message_debug()
# Test that the right number of ports exist.
pi = snk3.message_ports_in()
po = snk3.message_ports_out()
self.assertEqual(pmt.length(pi), 0)
self.assertEqual(pmt.length(po), 1)
self.tb.connect(src, snk)
self.tb.connect(src, snk2)
self.tb.connect(src, snk3)
self.tb.msg_connect(snk3, "pdus", dbg, "store")
self.tb.start()
# make our reference and message pmts
port = pmt.intern("pdus")
msg = pmt.cons(pmt.PMT_NIL, pmt.make_u8vector(16, 0xFF))
# post the message
src.to_basic_block()._post(port, msg) # eww, what's that smell?
while dbg.num_messages() < 1:
time.sleep(0.1)
self.tb.stop()
self.tb.wait()
# Get the vector of data from the vector sink
result_data = snk2.data()
# Get the vector of data from the message sink
# Convert the message PMT as a pair into its vector
result_msg = dbg.get_message(0)
msg_vec = pmt.cdr(result_msg)
#pmt.print(msg_vec)
# Convert the PMT vector into a Python list
msg_data = []
for i in xrange(16):
msg_data.append(pmt.u8vector_ref(msg_vec, i))
actual_data = 16 * [
0xFF,
]
self.assertEqual(actual_data, list(result_data))
self.assertEqual(actual_data, msg_data)
def test_001(self):
self.maxDiff = None
tb = gr.top_block()
src = blocks.vector_source_b(range(0, 100))
# itemsize, M, N, offset
km2 = blocks.keep_m_in_n(1, 1, 2, 0)
km3 = blocks.keep_m_in_n(1, 1, 3, 1)
km7 = blocks.keep_m_in_n(1, 1, 7, 2)
snk2 = blocks.vector_sink_b()
snk3 = blocks.vector_sink_b()
snk7 = blocks.vector_sink_b()
tb.connect(src, km2, snk2)
tb.connect(src, km3, snk3)
tb.connect(src, km7, snk7)
tb.run()
self.assertEqual(range(0, 100, 2), list(snk2.data()))
self.assertEqual(range(1, 100, 3), list(snk3.data()))
self.assertEqual(range(2, 100, 7), list(snk7.data()))
def test_029_singleton_disconnect(self):
tb = gr.top_block()
src = blocks.vector_source_b([
1,
])
dst = blocks.vector_sink_b()
tb.connect(src, dst)
tb.disconnect(src) # Singleton disconnect
tb.connect(src, dst)
tb.run()
self.assertEquals(dst.data(), (1, ))
def helper(self, symbols):
src_data = [0, 1, 2, 3, 0, 1, 2, 3]
expected_data = map(lambda x: symbols[x], src_data)
src = blocks.vector_source_b(src_data)
op = digital.map_bb(symbols)
dst = blocks.vector_sink_b()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = list(dst.data())
self.assertEqual(expected_data, result_data)
def test_004(self):
src_data = (0x11, )
expected_results = (0, 4)
src = blocks.vector_source_b(src_data, False)
op = blocks.packed_to_unpacked_bb(3, gr.GR_MSB_FIRST)
dst = blocks.vector_sink_b()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
self.assertEqual(expected_results, dst.data())
def test_006(self):
src_data = (0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0)
expected_results = (0x82, 0x5a)
src = blocks.vector_source_b(src_data, False)
op = blocks.unpacked_to_packed_bb(1, gr.GR_LSB_FIRST)
dst = blocks.vector_sink_b()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
self.assertEqual(expected_results, dst.data())
def __init__(self, samples, len_tag_key, channel=None, prepend_zeros=100):
gr.top_block.__init__(self, "ofdm_rx")
if prepend_zeros:
samples = (0,) * prepend_zeros + tuple(samples)
src = blocks.vector_source_c(tuple(samples) + (0,) * 1000)
self.rx = ofdm_rx(frame_length_tag_key=len_tag_key, debug_log=LOG_DEBUG_INFO)
if channel is not None:
self.connect(src, channel, self.rx)
else:
self.connect(src, self.rx)
self.sink = blocks.vector_sink_b()
self.connect(self.rx, self.sink)