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 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)