def test_stretch_01(self):
tb = self.tb
data = 10*[1,]
data0 = [x / 20.0 for x in data]
data1 = [x / 10.0 for x in data]
expected_result0 = 10*[0.05,]
expected_result1 = 10*[0.1,]
src0 = blocks.vector_source_f(data0, False)
src1 = blocks.vector_source_f(data1, False)
inter = blocks.streams_to_vector(gr.sizeof_float, 2)
op = blocks.stretch_ff(0.1, 2)
deinter = blocks.vector_to_streams(gr.sizeof_float, 2)
dst0 = blocks.vector_sink_f()
dst1 = blocks.vector_sink_f()
tb.connect(src0, (inter,0))
tb.connect(src1, (inter,1))
tb.connect(inter, op)
tb.connect(op, deinter)
tb.connect((deinter,0), dst0)
tb.connect((deinter,1), dst1)
tb.run()
dst0_data = dst0.data()
dst1_data = dst1.data()
self.assertFloatTuplesAlmostEqual(expected_result0, dst0_data, 4)
self.assertFloatTuplesAlmostEqual(expected_result1, dst1_data, 4)
def test_stretch_01(self):
tb = self.tb
data = 10*[1,]
data0 = map(lambda x: x/20.0, data)
data1 = map(lambda x: x/10.0, data)
expected_result0 = 10*[0.05,]
expected_result1 = 10*[0.1,]
src0 = blocks.vector_source_f(data0, False)
src1 = blocks.vector_source_f(data1, False)
inter = blocks.streams_to_vector(gr.sizeof_float, 2)
op = blocks.stretch_ff(0.1, 2)
deinter = blocks.vector_to_streams(gr.sizeof_float, 2)
dst0 = blocks.vector_sink_f()
dst1 = blocks.vector_sink_f()
tb.connect(src0, (inter,0))
tb.connect(src1, (inter,1))
tb.connect(inter, op)
tb.connect(op, deinter)
tb.connect((deinter,0), dst0)
tb.connect((deinter,1), dst1)
tb.run()
dst0_data = dst0.data()
dst1_data = dst1.data()
self.assertFloatTuplesAlmostEqual(expected_result0, dst0_data, 4)
self.assertFloatTuplesAlmostEqual(expected_result1, dst1_data, 4)
def test_002_(self):
src_data = numpy.array(
[-1.0, -1.0 / 2.0, -1.0 / 3.0, -1.0 / 4.0, -1.0 / 5.0])
trg_data = copy.deepcopy(src_data)
src = blocks.vector_source_f(src_data, False, len(src_data))
st = blocks.stretch_ff(-1.0 / 5.0, len(src_data))
dst = blocks.vector_sink_f(len(src_data))
self.tb.connect(src, st)
self.tb.connect(st, dst)
self.tb.run()
rsl_data = dst.data()
sum = 0
for (u, v) in zip(trg_data, rsl_data):
w = u - v
sum += w * w
sum /= float(len(trg_data))
assert sum < 1e-6
def test_002_(self):
src_data = numpy.array([-1.0,
-1.0/2.0,
-1.0/3.0,
-1.0/4.0,
-1.0/5.0])
trg_data = copy.deepcopy(src_data)
src = blocks.vector_source_f(src_data, False, len(src_data))
st = blocks.stretch_ff(-1.0/5.0, len(src_data))
dst = blocks.vector_sink_f(len(src_data))
self.tb.connect(src, st)
self.tb.connect(st, dst)
self.tb.run()
rsl_data = dst.data()
sum = 0
for (u, v) in zip(trg_data, rsl_data):
w = u - v
sum += w * w
sum /= float(len(trg_data))
assert sum < 1e-6