def test_002_t(self):
self.tb2 = gr.top_block()
N_rb_dl = 50
phich_dur = 0
phich_res = 1.0
N_ant = 2
data = []
test_len = 100
my_res = []
for i in range(test_len):
mib = lte_test.pack_mib(N_rb_dl, phich_dur, phich_res, i)
crc = lte_test.crc_checksum(mib, N_ant)
conv = lte_test.convolutional_encoder_sorted(crc)
convit = lte_test.convolutional_encoder(crc)
my_res.extend(lte_test.nrz_encoding(convit) )
rated = lte_test.rate_match(conv)
nrz = lte_test.nrz_encoding(rated)
data.extend(nrz)
srcf = blocks.vector_source_f(data, False, 120)
snkf = blocks.file_sink(gr.sizeof_float*120, "/home/johannes/tests/rated.dat")
self.tb2.connect(srcf, snkf)
src1 = blocks.vector_source_f(data, False, 120)
vts0 = blocks.vector_to_stream(40*gr.sizeof_float, 3)
sts0 = blocks.stream_to_streams(40*gr.sizeof_float, 3)
self.tb2.connect(src1, vts0, sts0)
inter = blocks.interleave(gr.sizeof_float)
for i in range(3):
deint = lte.subblock_deinterleaver_vfvf(40, 1)
vts1 = blocks.vector_to_stream(1*gr.sizeof_float, 40)
self.tb2.connect( (sts0, i), deint, vts1, (inter, i))
stv = blocks.stream_to_vector(1*gr.sizeof_float, 120)
snk = blocks.vector_sink_f(120)
self.tb2.connect(inter, stv, snk)
self.tb2.run()
res = snk.data()
print res[110:130]
self.assertFloatTuplesAlmostEqual(tuple(my_res), res)
def test_002_t(self):
self.tb2 = gr.top_block()
N_rb_dl = 50
phich_dur = 0
phich_res = 1.0
N_ant = 2
data = []
test_len = 100
my_res = []
for i in range(test_len):
mib = lte_test.pack_mib(N_rb_dl, phich_dur, phich_res, i)
crc = lte_test.crc_checksum(mib, N_ant)
conv = lte_test.convolutional_encoder_sorted(crc)
convit = lte_test.convolutional_encoder(crc)
my_res.extend(lte_test.nrz_encoding(convit))
rated = lte_test.rate_match(conv)
nrz = lte_test.nrz_encoding(rated)
data.extend(nrz)
srcf = blocks.vector_source_f(data, False, 120)
snkf = blocks.file_sink(gr.sizeof_float * 120,
"/home/johannes/tests/rated.dat")
self.tb2.connect(srcf, snkf)
src1 = blocks.vector_source_f(data, False, 120)
vts0 = blocks.vector_to_stream(40 * gr.sizeof_float, 3)
sts0 = blocks.stream_to_streams(40 * gr.sizeof_float, 3)
self.tb2.connect(src1, vts0, sts0)
inter = blocks.interleave(gr.sizeof_float)
for i in range(3):
deint = lte.subblock_deinterleaver_vfvf(40, 1)
vts1 = blocks.vector_to_stream(1 * gr.sizeof_float, 40)
self.tb2.connect((sts0, i), deint, vts1, (inter, i))
stv = blocks.stream_to_vector(1 * gr.sizeof_float, 120)
snk = blocks.vector_sink_f(120)
self.tb2.connect(inter, stv, snk)
self.tb2.run()
res = snk.data()
print res[110:130]
self.assertFloatTuplesAlmostEqual(tuple(my_res), res)
def test_001_t (self):
print "lte_rate_unmatch TEST"
mib = lte_test.pack_mib(50,0,1.0, 511)
mib_crc = lte_test.crc_checksum(mib, 2)
c_enc_sorted = lte_test.convolutional_encoder_sorted(mib_crc)
in_data = c_enc_sorted
input_data = lte_test.rate_match(in_data)
my_data = []
for i in range(40):
my_data.append(in_data[i+0])
my_data.append(in_data[i+40])
my_data.append(in_data[i+80])
in_data = my_data
exp_res = tuple([float(in_data[i]) for i in range(len(in_data))])
self.src.set_data(input_data)
self.tb.run ()
res=self.snk.data()
self.assertEqual(res, exp_res)