def test_005_t(self):
# Interleaver to deinterleaver
data_in_I = [
i * 2 - 1
for i in np.random.randint(0, 2, (2 * len(self.c.codewords[0]) * (
self.c.nsym_frame - len(self.c.preamble) - len(self.c.SFD)), ))
]
data_in_Q = [
i * 2 - 1
for i in np.random.randint(0, 2, (2 * len(self.c.codewords[0]) * (
self.c.nsym_frame - len(self.c.preamble) - len(self.c.SFD)), ))
]
self.src_I = blocks.vector_source_i(data_in_I)
self.snk_I = blocks.vector_sink_i(1)
self.src_Q = blocks.vector_source_i(data_in_Q)
self.snk_Q = blocks.vector_sink_i(1)
self.tb.connect(self.src_I, self.interleaver_I,
self.preamble_sfd_prefixer_I, (self.qpsk_mapper, 0))
self.tb.connect(self.src_Q, self.interleaver_Q,
self.preamble_sfd_prefixer_Q, (self.qpsk_mapper, 1))
self.tb.connect(self.qpsk_mapper, self.dqpsk_mapper, self.dqcsk_mapper,
self.dqcsk_demapper, self.dqpsk_demapper,
self.qpsk_demapper)
self.tb.connect((self.qpsk_demapper, 0), self.preamble_sfd_removal_I,
self.deinterleaver_I, self.snk_I)
self.tb.connect((self.qpsk_demapper, 1), self.preamble_sfd_removal_Q,
self.deinterleaver_Q, self.snk_Q)
self.tb.run()
data_out_I = self.snk_I.data()
data_out_Q = self.snk_Q.data()
self.assertFloatTuplesAlmostEqual(data_out_I, data_in_I)
self.assertFloatTuplesAlmostEqual(data_out_I, data_in_I)
def test_004_t(self):
# Preamble and SFD prefixer to removal
data_in_I = [
i * 2 - 1 for i in np.random.randint(0, 2, (2 * (
self.c.nsym_frame - len(self.c.preamble) - len(self.c.SFD)), ))
]
data_in_Q = [
i * 2 - 1 for i in np.random.randint(0, 2, (2 * (
self.c.nsym_frame - len(self.c.preamble) - len(self.c.SFD)), ))
]
self.src_I = blocks.vector_source_i(data_in_I)
self.snk_I = blocks.vector_sink_i(1)
self.src_Q = blocks.vector_source_i(data_in_Q)
self.snk_Q = blocks.vector_sink_i(1)
# self.dbg_sink1 = blocks.vector_sink_i(1)
# self.dbg_sink2 = blocks.vector_sink_i(1)
# self.dbg_sink3 = blocks.vector_sink_f(1)
# self.dbg_sink4 = blocks.vector_sink_f(1)
# self.dbg_sink5 = blocks.vector_sink_c(1)
# self.dbg_sink6 = blocks.vector_sink_f(1)
# self.dbg_sink7 = blocks.vector_sink_f(1)
self.tb.connect(self.src_I, self.preamble_sfd_prefixer_I,
(self.qpsk_mapper, 0))
self.tb.connect(self.src_Q, self.preamble_sfd_prefixer_Q,
(self.qpsk_mapper, 1))
self.tb.connect(self.qpsk_mapper, self.dqpsk_mapper, self.dqcsk_mapper,
self.dqcsk_demapper, self.dqpsk_demapper,
self.qpsk_demapper)
self.tb.connect((self.qpsk_demapper, 0), self.preamble_sfd_removal_I,
self.snk_I)
self.tb.connect((self.qpsk_demapper, 1), self.preamble_sfd_removal_Q,
self.snk_Q)
# self.tb.connect((self.qpsk_mapper,0), self.dbg_sink3)
# self.tb.connect(self.preamble_sfd_prefixer_I, self.dbg_sink2)
# self.tb.connect(self.dqpsk_mapper, self.dbg_sink4)
# self.tb.connect(self.dqcsk_mapper, self.dbg_sink5)
# self.tb.connect(self.dqcsk_demapper, self.dbg_sink6)
# self.tb.connect(self.dqcsk_demapper, self.dbg_sink7)
self.tb.run()
# print "sfd prefixer output len:", len(self.dbg_sink2.data())
# print "qpsk mapper output len:", len(self.dbg_sink3.data())
# print "dqpsk mapper output len:", len(self.dbg_sink4.data())
# print "dqcsk mapper output len:", len(self.dbg_sink5.data())
# print "dqcsk demapper output len:", len(self.dbg_sink6.data())
# print "dqpsk demapper output len:", len(self.dbg_sink7.data())
data_out_I = self.snk_I.data()
data_out_Q = self.snk_Q.data()
self.assertFloatTuplesAlmostEqual(data_in_I, data_out_I)
self.assertFloatTuplesAlmostEqual(data_in_Q, data_out_Q)
def test_001_t (self):
# set up fg
self.src_I = blocks.vector_source_i([1,-1,1,-1])
self.src_Q = blocks.vector_source_i([1,1,-1,-1])
self.qpsk_mapper = ieee802_15_4.qpsk_mapper_if()
self.snk = blocks.vector_sink_f(1)
self.tb.connect(self.src_I, (self.qpsk_mapper,0))
self.tb.connect(self.src_Q, (self.qpsk_mapper,1))
self.tb.connect(self.qpsk_mapper, self.snk)
self.tb.run ()
# check data
ref = [0, np.pi/2, -np.pi/2, np.pi]
data = self.snk.data()
self.assertFloatTuplesAlmostEqual(data, ref, 5)
def test_001_t(self):
# set up fg
self.src_I = blocks.vector_source_i([1, -1, 1, -1])
self.src_Q = blocks.vector_source_i([1, 1, -1, -1])
self.qpsk_mapper = ieee802_15_4.qpsk_mapper_if()
self.snk = blocks.vector_sink_f(1)
self.tb.connect(self.src_I, (self.qpsk_mapper, 0))
self.tb.connect(self.src_Q, (self.qpsk_mapper, 1))
self.tb.connect(self.qpsk_mapper, self.snk)
self.tb.run()
# check data
ref = [0, np.pi / 2, -np.pi / 2, np.pi]
data = self.snk.data()
self.assertFloatTuplesAlmostEqual(data, ref, 5)
def test_007_dual_notags(self):
'''
Tests 2 inbound streams with no tags
'''
# Just run some data through and make sure it doesn't puke.
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
src1 = blocks.vector_source_i(src_data)
src2 = blocks.vector_source_i(src_data)
dut = sandia_utils.sandia_tag_debug(gr.sizeof_int, "tag QA")
self.tb.connect(src1, (dut, 0))
self.tb.connect(src2, (dut, 1))
self.tb.run()
self.assertEqual(0, dut.num_tags())
def __init__(self):
gr.top_block.__init__(self)
#variables
self.samp_rate = samp_rate
self.direction = RC_NOTHING #no direction to start
#blocks
#define the gnuradio blocks
#interpolator expands the input function - this creates long zeros and ones
self.interpolator = rccar2.functioninterpolator(samp_rate)
#functioncoder takes a functioncode into it and creates the appropriate command stream
self.functioncoder = rccar2.functioncoder(samplerate=samp_rate, functioncode=1)
#sink (the hackRF in this case), can be changed to your transmitting device of course
self.hackrf = osmosdr.sink(args="numchan=" +str(1) + " " + "hackhf")
self.hackrf.set_sample_rate(samp_rate)
self.hackrf.set_center_freq(RC_FREQUENCY,0)
self.hackrf.set_freq_corr(0,0)
#enable the hackrf to transmit (need to set the gain to 14dB)
self.hackrf.set_gain(14,0)
self.hackrf.set_if_gain(30,0)
self.hackrf.set_bb_gain(20,0)
self.hackrf.set_antenna("",0)
self.hackrf.set_bandwidth(0,0)
#conversion blocks
self.float_to_complex = blocks.float_to_complex(1)
self.char_to_float = blocks.char_to_float(1,1)
#vector source which sends the direction to the functioncoder
self.vector_source = blocks.vector_source_i([self.direction], False)
#connect it all up
self.connect((self.char_to_float,0), (self.float_to_complex,0))
self.connect((self.char_to_float,0), (self.float_to_complex,1))
self.connect((self.interpolator,0), (self.char_to_float,0))
self.connect((self.float_to_complex,0), (self.hackrf,0))
self.connect((self.vector_source,0), (self.functioncoder,0))
self.connect((self.functioncoder,0), (self.interpolator,0))
def __init__(self, Sps=4, h=[1, 1, 1, 1]):
gr.hier_block2.__init__(
self,
"e_generador_fun_f",
gr.io_signature(0, 0, 0),
gr.io_signature(1, 1, gr.sizeof_float * 1),
)
##################################################
# Parameters
##################################################
self.Sps = Sps
self.h = h
##################################################
# Blocks
##################################################
self.interp_fir_filter_xxx_0 = filter.interp_fir_filter_fff(Sps, (h))
self.interp_fir_filter_xxx_0.declare_sample_delay(0)
self.blocks_multiply_const_vxx_0 = blocks.multiply_const_vff((2., ))
self.blocks_int_to_float_0 = blocks.int_to_float(1, 1)
self.blocks_add_const_vxx_0 = blocks.add_const_vff((-0.5, ))
self.analog_random_source_x_0 = blocks.vector_source_i(
map(int, np.random.randint(0, 2, 1000000)), True)
##################################################
# Connections
##################################################
self.connect((self.analog_random_source_x_0, 0),
(self.blocks_int_to_float_0, 0))
self.connect((self.blocks_add_const_vxx_0, 0),
(self.blocks_multiply_const_vxx_0, 0))
self.connect((self.blocks_int_to_float_0, 0),
(self.blocks_add_const_vxx_0, 0))
self.connect((self.blocks_multiply_const_vxx_0, 0),
(self.interp_fir_filter_xxx_0, 0))
self.connect((self.interp_fir_filter_xxx_0, 0), (self, 0))
def __init__(self, data):
gr.hier_block2.__init__(self, "ints_to_floats",
gr.io_signature(0, 0, 0),
gr.io_signature(1, 1, gr.sizeof_float))
self.src = blocks.vector_source_i(data)
self.cvt = blocks.int_to_float()
self.connect(self.src, self.cvt, self)
def test_001_t (self):
# This test case is from Fundamentals of Error-Correcting
# Codes by Huffman and Pless. First part of Example 15.7.1.
# Generator matrix from textbook example
G = np.array([[1,0,0,0,0,1,1,1],
[0,1,0,0,1,0,1,1],
[0,0,1,0,1,1,0,1],
[0,0,0,1,1,1,1,0]])
# this is the dataword to be encoded
dataword = (1,0,1,1)
# this is what the encoder should produce
codeword = (1,0,1,1,0,1,0,0)
k = len(dataword)
n = len(codeword)
src = blocks.vector_source_i(dataword)
str2vec = blocks.stream_to_vector(4, k)
vec2str = blocks.vector_to_stream(4, n)
encoder = generator_matrix_encoder_ss(G)
dst = blocks.vector_sink_i()
self.tb.connect(src, str2vec, encoder, vec2str, dst)
self.tb.run ()
result_data = dst.data()
# check data
self.assertTupleEqual(codeword,result_data)
def __init__(self):
grc_wxgui.top_block_gui.__init__(self, title="Top Block")
_icon_path = "/usr/share/icons/hicolor/32x32/apps/gnuradio-grc.png"
self.SetIcon(wx.Icon(_icon_path, wx.BITMAP_TYPE_ANY))
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 32000
self.P = P = 10
self.N = N = 8
self.M = M = 20
##################################################
# Blocks
##################################################
self.gaussian_code_gaussian_code_if_0 = gaussian_code.gaussian_code_if(
7, N, P)
self.blocks_throttle_0 = blocks.throttle(gr.sizeof_float * 1,
samp_rate, True)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_float * 1,
"ber.txt", False)
self.blocks_file_sink_0.set_unbuffered(False)
self.analog_random_source_x_0 = blocks.vector_source_i(
map(int, numpy.random.randint(0, M - 1, 1000)), True)
##################################################
# Connections
##################################################
self.connect((self.analog_random_source_x_0, 0),
(self.gaussian_code_gaussian_code_if_0, 0))
self.connect((self.blocks_throttle_0, 0), (self.blocks_file_sink_0, 0))
self.connect((self.gaussian_code_gaussian_code_if_0, 0),
(self.blocks_throttle_0, 0))
def test_vector_int(self):
tb = self.tb
vlen = 5
N = 10 * vlen
data = make_random_float_tuple(N, 2**10)
data = [int(d * 1000) for d in data]
src = blocks.vector_source_i(data, False)
one_to_many = blocks.stream_to_streams(gr.sizeof_int, vlen)
one_to_vector = blocks.stream_to_vector(gr.sizeof_int, vlen)
many_to_vector = blocks.streams_to_vector(gr.sizeof_int, vlen)
isolated = [blocks.moving_average_ii(100, 1) for i in range(vlen)]
dut = blocks.moving_average_ii(100, 1, vlen=vlen)
dut_dst = blocks.vector_sink_i(vlen=vlen)
ref_dst = blocks.vector_sink_i(vlen=vlen)
tb.connect(src, one_to_many)
tb.connect(src, one_to_vector, dut, dut_dst)
tb.connect(many_to_vector, ref_dst)
for idx, single in enumerate(isolated):
tb.connect((one_to_many, idx), single, (many_to_vector, idx))
tb.run()
dut_data = dut_dst.data()
ref_data = ref_dst.data()
# make sure result is close to zero
self.assertTupleEqual(dut_data, ref_data)
def __init__(self, data):
gr.hier_block2.__init__(self, "ints_to_floats",
gr.io_signature(0, 0, 0),
gr.io_signature(1, 1, gr.sizeof_float))
self.src = blocks.vector_source_i(data)
self.cvt = blocks.int_to_float()
self.connect(self.src, self.cvt, self)
def test_003(self):
data = range(1,9)
self.src = blocks.vector_source_i(data, True)
self.probe = blocks.ctrlport_probe2_i("samples","Integers",
len(data), gr.DISPNULL)
probe_name = self.probe.alias()
self.tb.connect(self.src, self.probe)
self.tb.start()
expected_result = [1, 2, 3, 4, 5, 6, 7, 8,]
# Make sure we have time for flowgraph to run
time.sleep(0.1)
# Get available endpoint
ep = gr.rpcmanager_get().endpoints()[0]
# Initialize a simple Ice client from endpoint
ic = Ice.initialize(sys.argv)
base = ic.stringToProxy(ep)
radio = GNURadio.ControlPortPrx.checkedCast(base)
# Get all exported knobs
ret = radio.get([probe_name + "::samples"])
for name in ret.keys():
# Get data in probe, which might be offset; find the
# beginning and unwrap.
result = ret[name].value
i = result.index(1.0)
result = result[i:] + result[0:i]
self.assertEqual(expected_result, result)
self.tb.stop()
def test_001(self):
src_data = ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
trg_data = (-1, -1, 1, 1, -1, -1, 1, 1, -1, -1)
src = blocks.vector_source_i(src_data)
trg = blocks.vector_source_s(trg_data)
op = blocks.burst_tagger(gr.sizeof_int)
snk = blocks.tagged_file_sink(gr.sizeof_int, 1)
self.tb.connect(src, (op,0))
self.tb.connect(trg, (op,1))
self.tb.connect(op, snk)
self.tb.run()
# Tagged file sink gets 2 burst tags at index 2 and index 5.
# Creates two new files, each with two integers in them from
# src_data at these indexes (3,4) and (7,8).
file0 = "file{0}_0_2.00000000.dat".format(snk.unique_id())
file1 = "file{0}_1_6.00000000.dat".format(snk.unique_id())
# Open the files and read in the data, then remove the files
# to clean up the directory.
outfile0 = open(file0, 'rb')
outfile1 = open(file1, 'rb')
data0 = outfile0.read(8)
data1 = outfile1.read(8)
outfile0.close()
outfile1.close()
os.remove(file0)
os.remove(file1)
# Convert the 8 bytes from the files into a tuple of 2 ints.
idata0 = struct.unpack('ii', data0)
idata1 = struct.unpack('ii', data1)
self.assertEqual(idata0, (3, 4))
self.assertEqual(idata1, (7, 8))
def test_004_cleartags(self):
'''
testing sandia_tag_debug::clear_tags() function
'''
src_tag1 = gr.tag_utils.python_to_tag([
0,
pmt.intern("sam"),
pmt.from_double(10000),
pmt.intern("test_003_tags")
])
src_tag2 = gr.tag_utils.python_to_tag([
1,
pmt.intern("peter"),
pmt.from_double(1000),
pmt.intern("test_003_tags")
])
src_tag3 = gr.tag_utils.python_to_tag([
2,
pmt.intern("jacob"),
pmt.from_double(100),
pmt.intern("test_003_tags")
])
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
src = blocks.vector_source_i(src_data, False, 1,
[src_tag1, src_tag2, src_tag3])
dut = sandia_utils.sandia_tag_debug(gr.sizeof_int, "tag QA")
self.tb.connect(src, dut)
self.tb.run()
self.assertEqual(3, dut.num_tags())
dut.clear_tags()
self.assertEqual(0, dut.num_tags())
def test_002_interleave_ints(self):
# set up fg
src1 = (1, 2, 3, 4)
src2 = (5, 6, 7, 8)
res_exp = (1, 2, 5, 6, 3, 4, 7, 8)
src1_blk = blocks.vector_source_i(src1)
src2_blk = blocks.vector_source_i(src2)
inter_blk = interleaver.interleaver(4, 2)
dst_blk = blocks.vector_sink_i()
self.tb.connect((src1_blk, 0), (inter_blk, 0))
self.tb.connect((src2_blk, 0), (inter_blk, 1))
self.tb.connect(inter_blk, dst_blk)
self.tb.run()
# check data
res_act = dst_blk.data()
self.assertEqual(res_exp, res_act)
def test_001(self):
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
trg_data = (-1, -1, 1, 1, -1, -1, 1, 1, -1, -1)
src = blocks.vector_source_i(src_data)
trg = blocks.vector_source_s(trg_data)
op = blocks.burst_tagger(gr.sizeof_int)
snk = blocks.tagged_file_sink(gr.sizeof_int, 1)
self.tb.connect(src, (op, 0))
self.tb.connect(trg, (op, 1))
self.tb.connect(op, snk)
self.tb.run()
# Tagged file sink gets 2 burst tags at index 2 and index 5.
# Creates two new files, each with two integers in them from
# src_data at these indexes (3,4) and (7,8).
file0 = "file{0}_0_2.00000000.dat".format(snk.unique_id())
file1 = "file{0}_1_6.00000000.dat".format(snk.unique_id())
# Open the files and read in the data, then remove the files
# to clean up the directory.
outfile0 = open(file0, 'rb')
outfile1 = open(file1, 'rb')
data0 = outfile0.read(8)
data1 = outfile1.read(8)
outfile0.close()
outfile1.close()
os.remove(file0)
os.remove(file1)
# Convert the 8 bytes from the files into a tuple of 2 ints.
idata0 = struct.unpack('ii', data0)
idata1 = struct.unpack('ii', data1)
self.assertEqual(idata0, (3, 4))
self.assertEqual(idata1, (7, 8))
def test_002_1tag(self):
'''
Tests a stream with a single tag
'''
src_tag = gr.tag_utils.python_to_tag([
0,
pmt.intern("sam"),
pmt.from_double(10000),
pmt.intern("test_002_1tag")
])
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
src = blocks.vector_source_i(src_data, False, 1, [src_tag])
dut = sandia_utils.sandia_tag_debug(gr.sizeof_int, "tag QA")
self.tb.connect(src, dut)
self.tb.run()
self.assertEqual(1, dut.num_tags())
tag0 = dut.get_tag(0)
self.assertTrue(pmt.eq(tag0.key, pmt.intern("sam")))
self.assertAlmostEqual(10000, pmt.to_double(tag0.value))
def __init__(self):
grc_wxgui.top_block_gui.__init__(self, title="Top Block")
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 32e3
##################################################
# Blocks
##################################################
self.blocks_vector_source_x_0 = blocks.vector_source_i((0, 1, 2, 3),
True, 1, [])
self.blocks_null_source_0 = blocks.null_source(gr.sizeof_float * 1)
self.blocks_null_sink_0 = blocks.null_sink(gr.sizeof_float * 1)
self.blocks_int_to_float_0 = blocks.int_to_float(1, 1)
self.Mercurial_SDR_0 = Mercurial_SDR.Mercurial_SDR(
'psk', 'qpsk', 468000, 32000, 'natural_key', 'linear_key', 50, 8,
'pll_120', 'pll_120', 'pll_120', 'pll_60', 5000000, 50000, 50000)
##################################################
# Connections
##################################################
self.connect((self.Mercurial_SDR_0, 0), (self.blocks_null_sink_0, 0))
self.connect((self.blocks_int_to_float_0, 0),
(self.Mercurial_SDR_0, 0))
self.connect((self.blocks_null_source_0, 0), (self.Mercurial_SDR_0, 1))
self.connect((self.blocks_vector_source_x_0, 0),
(self.blocks_int_to_float_0, 0))
def test_03(self):
tb = self.tb
vlen = 5
N = 10*vlen
seed = 0
data = make_random_float_tuple(N, 2**10)
data = [int(d*1000) for d in data]
src = blocks.vector_source_i(data, False)
one_to_many = blocks.stream_to_streams(gr.sizeof_int, vlen)
one_to_vector = blocks.stream_to_vector(gr.sizeof_int, vlen)
many_to_vector = blocks.streams_to_vector(gr.sizeof_int, vlen)
isolated = [ blocks.moving_average_ii(100, 1) for i in range(vlen)]
dut = blocks.moving_average_ii(100, 1, vlen=vlen)
dut_dst = blocks.vector_sink_i(vlen=vlen)
ref_dst = blocks.vector_sink_i(vlen=vlen)
tb.connect(src, one_to_many)
tb.connect(src, one_to_vector, dut, dut_dst)
tb.connect(many_to_vector, ref_dst)
for idx, single in enumerate(isolated):
tb.connect((one_to_many,idx), single, (many_to_vector,idx))
tb.run()
dut_data = dut_dst.data()
ref_data = ref_dst.data()
# make sure result is close to zero
self.assertTupleEqual(dut_data, ref_data)
def __init__(self):
gr.top_block.__init__(self)
#variables
self.samp_rate = samp_rate
self.direction = RC_NOTHING #no direction to start
#blocks
#define the gnuradio blocks
#interpolator expands the input function - this creates long zeros and ones
self.interpolator = rccar2.functioninterpolator(samp_rate)
#functioncoder takes a functioncode into it and creates the appropriate command stream
self.functioncoder = rccar2.functioncoder(samplerate=samp_rate,
functioncode=1)
#sink (the hackRF in this case), can be changed to your transmitting device of course
self.hackrf = osmosdr.sink(args="numchan=" + str(1) + " " + "hackhf")
self.hackrf.set_sample_rate(samp_rate)
self.hackrf.set_center_freq(RC_FREQUENCY, 0)
self.hackrf.set_freq_corr(0, 0)
#enable the hackrf to transmit (need to set the gain to 14dB)
self.hackrf.set_gain(14, 0)
self.hackrf.set_if_gain(30, 0)
self.hackrf.set_bb_gain(20, 0)
self.hackrf.set_antenna("", 0)
self.hackrf.set_bandwidth(0, 0)
#conversion blocks
self.float_to_complex = blocks.float_to_complex(1)
self.char_to_float = blocks.char_to_float(1, 1)
#vector source which sends the direction to the functioncoder
self.vector_source = blocks.vector_source_i([self.direction], False)
#connect it all up
self.connect((self.char_to_float, 0), (self.float_to_complex, 0))
self.connect((self.char_to_float, 0), (self.float_to_complex, 1))
self.connect((self.interpolator, 0), (self.char_to_float, 0))
self.connect((self.float_to_complex, 0), (self.hackrf, 0))
self.connect((self.vector_source, 0), (self.functioncoder, 0))
self.connect((self.functioncoder, 0), (self.interpolator, 0))
def __init__(self):
gr.top_block.__init__(self, "Top Block")
##################################################
# Blocks
##################################################
self.quantomm_encoder_0 = quantomm.encoder(True)
self.quantomm_decoder_0 = quantomm.decoder(True)
self.quantomm_channel_ii_1 = quantomm.channel_ii()
self.quantomm_channel_ii_0 = quantomm.channel_ii()
self.analog_random_source_x_0 = blocks.vector_source_i(
map(int, numpy.random.randint(0, 2, 5)), False)
self.Message_Debug_Out_Plain_Text = blocks.message_debug()
##################################################
# Connections
##################################################
self.msg_connect((self.quantomm_decoder_0, 'plaintext'),
(self.Message_Debug_Out_Plain_Text, 'print_pdu'))
self.msg_connect((self.quantomm_decoder_0, 'feedback'),
(self.quantomm_encoder_0, 'feedback'))
self.msg_connect((self.quantomm_encoder_0, 'ciphertext'),
(self.quantomm_decoder_0, 'ciphertext'))
self.connect((self.analog_random_source_x_0, 0),
(self.quantomm_encoder_0, 0))
self.connect((self.quantomm_channel_ii_0, 0),
(self.quantomm_decoder_0, 0))
self.connect((self.quantomm_channel_ii_1, 0),
(self.quantomm_decoder_0, 1))
self.connect((self.quantomm_encoder_0, 0),
(self.quantomm_channel_ii_0, 0))
self.connect((self.quantomm_encoder_0, 1),
(self.quantomm_channel_ii_1, 0))
def test_003_t (self):
src_data = ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
trg_data = ( 0, 0, 0, 0, 10, 0, 0, 0, 0, 0)
# Blocks
src_data = blocks.vector_source_c(src_data)
src_trig = blocks.vector_source_i(trg_data)
op = marmote.peak_tagger_cc(
threshold = 2,
lookahead = 3,
delay = 1
)
snk_tag = blocks.tag_debug(gr.sizeof_gr_complex, "peak tagger QA")
snk_data = blocks.vector_sink_c()
# Connections
self.tb.connect(src_data, (op,0))
self.tb.connect(src_trig, (op,1))
self.tb.connect(op, snk_tag)
self.tb.connect(op, snk_data)
self.tb.run()
# Check data
x = snk_tag.current_tags()
y = snk_data.data()
self.assertEqual(6, y[x[0].offset])
def test_001(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.vector_source_i(src_data)
op = blocks.tag_debug(gr.sizeof_int, "tag QA")
self.tb.connect(src, op)
self.tb.run()
x = op.current_tags()
def test_001(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.vector_source_i(src_data)
op = blocks.tag_debug(gr.sizeof_int, "tag QA")
self.tb.connect(src, op)
self.tb.run()
x = op.current_tags()
def test_and_const_ii (self):
src_data = (1, 2, 3, 0x5004, 0x1150)
expected_result = (0, 2, 2, 0x5000, 0x1100)
src = blocks.vector_source_i(src_data)
op = blocks.and_const_ii (0x55AA)
dst = blocks.vector_sink_i()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(dst.data(), expected_result)
def help_ii (self, src_data, exp_data, op):
for s in zip (range (len (src_data)), src_data):
src = blocks.vector_source_i (s[1])
self.tb.connect (src, (op, s[0]))
dst = blocks.vector_sink_i ()
self.tb.connect (op, dst)
self.tb.run ()
result_data = dst.data ()
self.assertEqual (exp_data, result_data)
def help_const_ii(self, src_data, exp_data, op):
src = blocks.vector_source_i(src_data)
srcv = blocks.stream_to_vector(gr.sizeof_int, len(src_data))
rhs = blocks.vector_to_stream(gr.sizeof_int, len(src_data))
dst = blocks.vector_sink_i()
self.tb.connect(src, srcv, op, rhs, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(exp_data, result_data)
def test_001_ii(self):
src_data = (1, 2, 3, 4, 5, 6)
dst_data = (6, 15)
src = blocks.vector_source_i(src_data)
itg = blocks.integrate_ii(3)
dst = blocks.vector_sink_i()
self.tb.connect(src, itg, dst)
self.tb.run()
self.assertEqual(dst_data, dst.data())
def help_ii(self, src_data, exp_data, op):
for s in zip(list(range(len(src_data))), src_data):
src = blocks.vector_source_i(s[1])
self.tb.connect(src, (op, s[0]))
dst = blocks.vector_sink_i()
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(exp_data, result_data)
def test_001_ii(self): src_data = (1, 2, 3, 4, 5, 6) dst_data = (6, 15) src = blocks.vector_source_i(src_data) itg = blocks.integrate_ii(3) dst = blocks.vector_sink_i() self.tb.connect(src, itg, dst) self.tb.run() self.assertEqual(dst_data, dst.data())
def test_int_to_float_scale(self):
src_data = (1, 2, 3, 4, 5)
expected_data = (0.2, 0.4, 0.6, 0.8, 1.0)
src = blocks.vector_source_i(src_data)
op = blocks.int_to_float(1, 5)
dst = blocks.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertFloatTuplesAlmostEqual(expected_data, dst.data())
def test_int_to_float_identity(self):
src_data = (1, 2, 3, 4, 5)
expected_data = (1.0, 2.0, 3.0, 4.0, 5.0)
src = blocks.vector_source_i(src_data)
op = blocks.int_to_float()
dst = blocks.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertFloatTuplesAlmostEqual(expected_data, dst.data())
def test_and_const_ii(self):
src_data = [1, 2, 3, 0x5004, 0x1150]
expected_result = [0, 2, 2, 0x5000, 0x1100]
src = blocks.vector_source_i(src_data)
op = blocks.and_const_ii(0x55AA)
dst = blocks.vector_sink_i()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertEqual(dst.data(), expected_result)
def test_int_to_float_identity(self):
src_data = (1, 2, 3, 4, 5)
expected_data = (1.0, 2.0, 3.0, 4.0, 5.0)
src = blocks.vector_source_i(src_data)
op = blocks.int_to_float()
dst = blocks.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertFloatTuplesAlmostEqual(expected_data, dst.data())
def help_const_ii(self, src_data, exp_data, op):
src = blocks.vector_source_i(src_data)
srcv = blocks.stream_to_vector(gr.sizeof_int, len(src_data))
rhs = blocks.vector_to_stream(gr.sizeof_int, len(src_data))
dst = blocks.vector_sink_i()
self.tb.connect(src, srcv, op, rhs, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(exp_data, result_data)
def test_int_to_float_scale(self):
src_data = (1, 2, 3, 4, 5)
expected_data = (0.2, 0.4, 0.6, 0.8, 1.0)
src = blocks.vector_source_i(src_data)
op = blocks.int_to_float(1, 5)
dst = blocks.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
self.assertFloatTuplesAlmostEqual(expected_data, dst.data())
def test_001_t (self):
# set up fg
src = blocks.vector_source_i([3,4,3,2,2,2,1],False,1)
mux_ctrl = ofdm.tx_mux_ctrl(2)
dst = blocks.vector_sink_b(1)
self.tb.connect(src,mux_ctrl,dst)
self.tb.run()
# check data
result = dst.data()
print "mux stream: ", result
def help_ii(self, src_data, exp_data, op):
for s in zip(list(range(len(src_data))), src_data):
src = blocks.vector_source_i(s[1])
self.tb.connect(src, 0, op, s[0]).set_custom_buffer(gr.buffer_cuda_properties.make(gr.buffer_cuda_type.H2D))
dst = blocks.vector_sink_i()
self.tb.connect(op, dst).set_custom_buffer(gr.buffer_cuda_properties.make(gr.buffer_cuda_type.D2H))
self.rt.initialize(self.tb)
self.rt.run()
result_data = dst.data()
self.assertEqual(exp_data, result_data)
def test_skip_all(self):
skip_cnt = len(self.src_data)
expected_result = tuple(self.src_data[skip_cnt:])
src1 = blocks.vector_source_i(self.src_data)
op = usrpcalibrator.skiphead_reset(gr.sizeof_int, skip_cnt)
dst1 = blocks.vector_sink_i()
self.tb.connect(src1, op, dst1)
self.tb.run()
dst_data = dst1.data()
self.assertEqual(expected_result, dst_data)
def test_skip_12678(self):
skip_cnt = 12678
expected_result = tuple(self.src_data[skip_cnt:])
src1 = blocks.vector_source_i(self.src_data)
op = blocks.skiphead(gr.sizeof_int, skip_cnt)
dst1 = blocks.vector_sink_i()
self.tb.connect(src1, op, dst1)
self.tb.run()
dst_data = dst1.data()
self.assertEqual(expected_result, dst_data)
def test_001_t(self):
# set up fg
src = blocks.vector_source_i([3, 4, 3, 2, 2, 2, 1], False, 1)
mux_ctrl = ofdm.tx_mux_ctrl(2)
dst = blocks.vector_sink_b(1)
self.tb.connect(src, mux_ctrl, dst)
self.tb.run()
# check data
result = dst.data()
print "mux stream: ", result
def test_skip_12678(self):
skip_cnt = 12678
expected_result = tuple(self.src_data[skip_cnt:])
src1 = blocks.vector_source_i(self.src_data)
op = blocks.skiphead(gr.sizeof_int, skip_cnt)
dst1 = blocks.vector_sink_i()
self.tb.connect(src1, op, dst1)
self.tb.run()
dst_data = dst1.data()
self.assertEqual(expected_result, dst_data)
def test_004_t (self):
# Preamble and SFD prefixer to removal
data_in_I = [i*2-1 for i in np.random.randint(0,2,(2*(self.c.nsym_frame-len(self.c.preamble)-len(self.c.SFD)),))]
data_in_Q = [i*2-1 for i in np.random.randint(0,2,(2*(self.c.nsym_frame-len(self.c.preamble)-len(self.c.SFD)),))]
self.src_I = blocks.vector_source_i(data_in_I)
self.snk_I = blocks.vector_sink_i(1)
self.src_Q = blocks.vector_source_i(data_in_Q)
self.snk_Q = blocks.vector_sink_i(1)
# self.dbg_sink1 = blocks.vector_sink_i(1)
# self.dbg_sink2 = blocks.vector_sink_i(1)
# self.dbg_sink3 = blocks.vector_sink_f(1)
# self.dbg_sink4 = blocks.vector_sink_f(1)
# self.dbg_sink5 = blocks.vector_sink_c(1)
# self.dbg_sink6 = blocks.vector_sink_f(1)
# self.dbg_sink7 = blocks.vector_sink_f(1)
self.tb.connect(self.src_I, self.preamble_sfd_prefixer_I, (self.qpsk_mapper,0))
self.tb.connect(self.src_Q, self.preamble_sfd_prefixer_Q, (self.qpsk_mapper,1))
self.tb.connect(self.qpsk_mapper, self.dqpsk_mapper, self.dqcsk_mapper, self.dqcsk_demapper, self.dqpsk_demapper, self.qpsk_demapper)
self.tb.connect((self.qpsk_demapper,0), self.preamble_sfd_removal_I, self.snk_I)
self.tb.connect((self.qpsk_demapper,1), self.preamble_sfd_removal_Q, self.snk_Q)
# self.tb.connect((self.qpsk_mapper,0), self.dbg_sink3)
# self.tb.connect(self.preamble_sfd_prefixer_I, self.dbg_sink2)
# self.tb.connect(self.dqpsk_mapper, self.dbg_sink4)
# self.tb.connect(self.dqcsk_mapper, self.dbg_sink5)
# self.tb.connect(self.dqcsk_demapper, self.dbg_sink6)
# self.tb.connect(self.dqcsk_demapper, self.dbg_sink7)
self.tb.run()
# print "sfd prefixer output len:", len(self.dbg_sink2.data())
# print "qpsk mapper output len:", len(self.dbg_sink3.data())
# print "dqpsk mapper output len:", len(self.dbg_sink4.data())
# print "dqcsk mapper output len:", len(self.dbg_sink5.data())
# print "dqcsk demapper output len:", len(self.dbg_sink6.data())
# print "dqpsk demapper output len:", len(self.dbg_sink7.data())
data_out_I = self.snk_I.data()
data_out_Q = self.snk_Q.data()
self.assertFloatTuplesAlmostEqual(data_in_I, data_out_I)
self.assertFloatTuplesAlmostEqual(data_in_Q, data_out_Q)
def test_003_t (self):
# QPSK mapper to demapper
data_in_I = [1,-1,1,-1]
data_in_Q = [1,1,-1,-1]
self.src_I = blocks.vector_source_i(data_in_I)
self.snk_I = blocks.vector_sink_i(1)
self.src_Q = blocks.vector_source_i(data_in_Q)
self.snk_Q = blocks.vector_sink_i(1)
self.tb.connect(self.src_I, (self.qpsk_mapper,0))
self.tb.connect(self.src_Q, (self.qpsk_mapper,1))
self.tb.connect(self.qpsk_mapper, self.dqpsk_mapper, self.dqcsk_mapper, self.dqcsk_demapper, self.dqpsk_demapper, self.qpsk_demapper)
self.tb.connect((self.qpsk_demapper,0), self.snk_I)
self.tb.connect((self.qpsk_demapper,1), self.snk_Q)
self.tb.run()
data_out_I = self.snk_I.data()
data_out_Q = self.snk_Q.data()
self.assertFloatTuplesAlmostEqual(data_in_I, data_out_I)
self.assertFloatTuplesAlmostEqual(data_in_Q, data_out_Q)
def test_sub_ii1(self):
src1_data = (1, 2, 3, 4, 5)
expected_result = (1, 2, 3, 4, 5)
src = blocks.vector_source_i(src1_data)
op = blocks.sub_ii()
dst = blocks.vector_sink_i()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(expected_result, result_data)
def test_head(self):
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
expected_result = (1, 2, 3, 4)
src1 = blocks.vector_source_i(src_data)
op = blocks.head(gr.sizeof_int, 4)
dst1 = blocks.vector_sink_i()
self.tb.connect(src1, op)
self.tb.connect(op, dst1)
self.tb.run()
dst_data = dst1.data()
self.assertEqual(expected_result, dst_data)
def test_sub_ii1(self):
src1_data = (1, 2, 3, 4, 5)
expected_result = (1, 2, 3, 4, 5)
src = blocks.vector_source_i(src1_data)
op = blocks.sub_ii()
dst = blocks.vector_sink_i()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(expected_result, result_data)
def test_head(self):
src_data = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
expected_result = (1, 2, 3, 4)
src1 = blocks.vector_source_i(src_data)
op = blocks.head(gr.sizeof_int, 4)
dst1 = blocks.vector_sink_i()
self.tb.connect(src1, op)
self.tb.connect(op, dst1)
self.tb.run()
dst_data = dst1.data()
self.assertEqual(expected_result, dst_data)
def test_001_square_bb(self):
src_data = (2, 3, 4, 5, 6)
expected_result = (4, 9, 16, 25, 36)
src = blocks.vector_source_i(src_data)
sqr = howtogen.square_ii()
dst = blocks.vector_sink_i()
self.tb.connect(src, sqr)
self.tb.connect(sqr, dst)
self.tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_result, result_data, 6)
def __init__(self):
gr.top_block.__init__(self, "Top Block")
Qt.QWidget.__init__(self)
self.setWindowTitle("Top Block")
try:
self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
except:
pass
self.top_scroll_layout = Qt.QVBoxLayout()
self.setLayout(self.top_scroll_layout)
self.top_scroll = Qt.QScrollArea()
self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
self.top_scroll_layout.addWidget(self.top_scroll)
self.top_scroll.setWidgetResizable(True)
self.top_widget = Qt.QWidget()
self.top_scroll.setWidget(self.top_widget)
self.top_layout = Qt.QVBoxLayout(self.top_widget)
self.top_grid_layout = Qt.QGridLayout()
self.top_layout.addLayout(self.top_grid_layout)
self.settings = Qt.QSettings("GNU Radio", "top_block")
self.restoreGeometry(self.settings.value("geometry").toByteArray())
##################################################
# Variables
##################################################
self.samp_rate = samp_rate = 32000
##################################################
# Blocks
##################################################
self.qtgui_waterfall_sink_x_0 = qtgui.waterfall_sink_f(
1024, #size
firdes.WIN_BLACKMAN_hARRIS, #wintype
0, #fc
samp_rate, #bw
"QT GUI Plot", #name
1 #number of inputs
)
self.qtgui_waterfall_sink_x_0.set_update_time(0.10)
self._qtgui_waterfall_sink_x_0_win = sip.wrapinstance(self.qtgui_waterfall_sink_x_0.pyqwidget(), Qt.QWidget)
self.top_layout.addWidget(self._qtgui_waterfall_sink_x_0_win)
self.blocks_throttle_0 = blocks.throttle(gr.sizeof_float*1, samp_rate)
self.blocks_int_to_float_0 = blocks.int_to_float(1, 1)
self.analog_random_source_x_0 = blocks.vector_source_i(map(int, numpy.random.randint(0, 4, 1000)), True)
##################################################
# Connections
##################################################
self.connect((self.blocks_throttle_0, 0), (self.qtgui_waterfall_sink_x_0, 0))
self.connect((self.analog_random_source_x_0, 0), (self.blocks_int_to_float_0, 0))
self.connect((self.blocks_int_to_float_0, 0), (self.blocks_throttle_0, 0))
def help_ii(self, size, src_data, exp_data, op):
for s in zip(range (len (src_data)), src_data):
src = blocks.vector_source_i(s[1])
srcv = blocks.stream_to_vector(gr.sizeof_int, size)
self.tb.connect(src, srcv)
self.tb.connect(srcv, (op, s[0]))
rhs = blocks.vector_to_stream(gr.sizeof_int, size)
dst = blocks.vector_sink_i()
self.tb.connect(op, rhs, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(exp_data, result_data)
def test_005_t (self):
# Interleaver to deinterleaver
data_in_I = [i*2-1 for i in np.random.randint(0,2,(2*len(self.c.codewords[0])*(self.c.nsym_frame-len(self.c.preamble)-len(self.c.SFD)),))]
data_in_Q = [i*2-1 for i in np.random.randint(0,2,(2*len(self.c.codewords[0])*(self.c.nsym_frame-len(self.c.preamble)-len(self.c.SFD)),))]
self.src_I = blocks.vector_source_i(data_in_I)
self.snk_I = blocks.vector_sink_i(1)
self.src_Q = blocks.vector_source_i(data_in_Q)
self.snk_Q = blocks.vector_sink_i(1)
self.tb.connect(self.src_I, self.interleaver_I, self.preamble_sfd_prefixer_I, (self.qpsk_mapper,0))
self.tb.connect(self.src_Q, self.interleaver_Q, self.preamble_sfd_prefixer_Q, (self.qpsk_mapper,1))
self.tb.connect(self.qpsk_mapper, self.dqpsk_mapper, self.dqcsk_mapper, self.dqcsk_demapper, self.dqpsk_demapper, self.qpsk_demapper)
self.tb.connect((self.qpsk_demapper,0), self.preamble_sfd_removal_I, self.deinterleaver_I, self.snk_I)
self.tb.connect((self.qpsk_demapper,1), self.preamble_sfd_removal_Q, self.deinterleaver_Q, self.snk_Q)
self.tb.run()
data_out_I = self.snk_I.data()
data_out_Q = self.snk_Q.data()
self.assertFloatTuplesAlmostEqual(data_out_I, data_in_I)
self.assertFloatTuplesAlmostEqual(data_out_I, data_in_I)
def test_001_t(self):
# Check impulse response
# Impulse is 2^15 due to the fixed point format of the coefficients. With a large enough impulse,
# the filter's impulse response will simply be the filter coefficients.
src_data = (2 ** 15, 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, 0, 0, 0, 0, 0)
expected_result = (
-51,
-662,
-190,
510,
12,
-719,
238,
945,
-671,
-1161,
1438,
1341,
-3060,
-1460,
10287,
17886,
10287,
-1460,
-3060,
1341,
1438,
-1161,
-671,
945,
238,
-719,
12,
510,
-190,
-662,
-51,
)
filter_taps = (-51, -662, -190, 510, 12, -719, 238, 945, -671, -1161, 1438, 1341, -3060, -1460, 10287, 17886)
# Filter coefficients are fx1.31, so scale them up to allow us to retreive the filter coefficients from the impulse response.
filter_taps = [x * 2 ** 16 for x in filter_taps]
src = blocks.vector_source_i(src_data)
# FIR filter taps are set to expected_result
fir_filter = zynq.fir_filter_ii(filter_taps)
dst = blocks.vector_sink_i()
self.tb.connect(src, fir_filter)
self.tb.connect(fir_filter, dst)
self.tb.run()
result_data = dst.data()
self.assertEqual(result_data, expected_result)
self.tb.disconnect(src, fir_filter)
self.tb.disconnect(fir_filter, dst)
def test_002_int(self):
tb = gr.top_block()
data = [5, 0, 0, -1, -3, -10]
exp = [1, 0, 0, -1, -1, -1]
vlen = 1
src = blocks.vector_source_i(data, False, vlen)
sign = misc.signum_xx(misc.INT, vlen)
snk = blocks.vector_sink_i(vlen)
tb.connect(src, sign, snk)
tb.run()
res = snk.data()
self.assertTupleEqual(res, tuple(exp))
def test_002_t (self):
# set up fg
cfg = phy(slow_rate=False)
data_in = range(541) # some random prime number
self.src = blocks.vector_source_i(data_in)
self.intlv = ieee802_15_4.interleaver_ii(intlv_seq=(),forward=False)
self.snk = blocks.vector_sink_i(1)
self.tb.connect(self.src, self.intlv, self.snk)
self.tb.run ()
# check data
data_out = self.snk.data()
self.assertFloatTuplesAlmostEqual(data_in, data_out)
def setup_test07(self):
print "... benchmarking BPSK demapper"
self.mode = 1
bitspermode = [0.5,1,1.5,2,3,4,4.5,5,6]
self.data_subcarriers = 200
self.chunkdivisor = 2
bitcount_vec = [(int)(self.data_subcarriers*10*bitspermode[self.mode-1])]
dm_csi = [1]*self.data_subcarriers # TODO
self.dm_csi = blocks.vector_source_f(dm_csi,True)
self.blks = self.N*(10 + 1)
self.tb = gr.top_block()
self.bitcount_src = blocks.vector_source_i(bitcount_vec,True,1)
self.depuncturing = depuncture_ff(self.data_subcarriers,0)
bmaptrig_stream_puncturing = [1]+[0]*(10/2-1)
self.bitmap_trigger_puncturing = blocks.vector_source_b(bmaptrig_stream_puncturing, True)
self.data_decoder = ofdm.viterbi_combined_fb(self.fo,self.data_subcarriers,-1,-1,2,self.chunkdivisor,[-1,-1,-1,1,1,-1,1,1],ofdm.TRELLIS_EUCLIDEAN)
if self.interleave:
int_object=trellis.interleaver(2000,666)
self.deinterlv = trellis.permutation(int_object.K(),int_object.DEINTER(),1,gr.sizeof_float)
#self.bitmap = [self.nobits]*self.data_subcarriers
self.demodulator = generic_softdemapper_vcf(self.data_subcarriers, 11, self.coding)
#const = self.demodulator.get_constellation( self.nobits )
#assert( len( const ) == 2**self.nobits )
self.bitdata = [random()+1j*random() for i in range(self.blks*self.data_subcarriers)]
self.src = blocks.vector_source_c(self.bitdata,False, self.data_subcarriers)
#self.src = symbol_random_src( const, self.data_subcarriers )
self.bitmap = [self.mode]*self.data_subcarriers
self.bitmap_src = blocks.vector_source_b(self.bitmap,True, self.data_subcarriers)
#self.bmaptrig_stream = [1, 2]+[0]*(11-2)
#self.bitmap_trigger = blocks.vector_source_b(self.bmaptrig_stream, True)
self.snk = blocks.null_sink(gr.sizeof_char)
#Connect blocks
self.tb.connect(self.src,self.demodulator)
if self.interleave:
self.tb.connect(self.demodulator,self.deinterlv, self.depuncturing, self.data_decoder,self.snk)
else:
self.tb.connect(self.demodulator, self.depuncturing, self.data_decoder,self.snk)
self.tb.connect(self.bitmap_src,(self.demodulator,1))
self.tb.connect(self.dm_csi,blocks.stream_to_vector(gr.sizeof_float,self.data_subcarriers),(self.demodulator,2))
self.tb.connect(self.bitmap_src,(self.depuncturing,1))
self.tb.connect(self.bitmap_trigger_puncturing, (self.depuncturing,2))
self.tb.connect(self.bitcount_src, ofdm.multiply_const_ii(1./self.chunkdivisor), (self.data_decoder,1))
def test_002(self):
src_data = [1,2,3,4]
expected_result = [16777216, 33554432, 50331648, 67108864];
src = blocks.vector_source_i(src_data)
op = blocks.endian_swap(4)
dst = blocks.vector_sink_i()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = list(dst.data())
self.assertEqual(expected_result, result_data)
