def test_rail_002(self):
lo = -0.75
hi = 0.90
src_data = [-2, -1, -0.5, -0.25, 0, 0.25, 0.5, 1, 2]
expected_result = map(lambda x: clip(x, lo, hi), src_data)
src = gr.vector_source_f(src_data)
op = analog.rail_ff(lo, hi)
dst = gr.vector_sink_f()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_result, result_data, 4)
def test_001_(self):
src_data = numpy.array([-1.0, 1.0, -1.0, 1.0])
trg_data = src_data * 0.5
src = blocks.vector_source_f(src_data)
dst = blocks.vector_sink_f()
rail = analog.rail_ff(-0.5, 0.5)
self.tb.connect(src, rail)
self.tb.connect(rail, 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_rail_002(self):
lo = -0.75
hi = 0.90
src_data = [-2, -1, -0.5, -0.25, 0, 0.25, 0.5, 1, 2]
expected_result = map(lambda x: clip(x, lo, hi), src_data)
src = gr.vector_source_f(src_data)
op = analog.rail_ff(lo, hi)
dst = gr.vector_sink_f()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_result, result_data, 4)
def test_001_(self):
src_data = numpy.array([-1.0, 1.0, -1.0, 1.0])
trg_data = src_data * 0.5
src = blocks.vector_source_f(src_data)
dst = blocks.vector_sink_f()
rail = analog.rail_ff(-0.5, 0.5)
self.tb.connect(src, rail)
self.tb.connect(rail, 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_rail_001(self):
# Test set/gets
hi1 = 1
hi2 = 2
lo1 = -1
lo2 = -2
op = analog.rail_ff(lo1, hi1)
op.set_hi(hi2)
h = op.hi()
self.assertEqual(hi2, h)
op.set_lo(lo2)
l = op.lo()
self.assertEqual(lo2, l)
def test_rail_001(self):
# Test set/gets
hi1 = 1
hi2 = 2
lo1 = -1
lo2 = -2
op = analog.rail_ff(lo1, hi1)
op.set_hi(hi2)
h = op.hi()
self.assertEqual(hi2, h)
op.set_lo(lo2)
l = op.lo()
self.assertEqual(lo2, l)