diff options
| author | Marcus Müller <marcus.mueller@ettus.com> | 2018-01-27 20:10:46 +0100 |
|---|---|---|
| committer | Marcus Müller <marcus.mueller@ettus.com> | 2018-03-30 16:50:32 +0200 |
| commit | 81588300d0530576e6180d54aba32a7d2840d5fc (patch) | |
| tree | 08702e3cbfc4873f62650019611a3768d1d3336f /gr-analog/python | |
| parent | 331ac816902db3aba854a5c086ef59bab66a2a3f (diff) | |
added unit testing for statistical properties of fastnoise source.
Diffstat (limited to 'gr-analog/python')
| -rw-r--r-- | gr-analog/python/analog/qa_fastnoise.py | 64 |
1 files changed, 51 insertions, 13 deletions
diff --git a/gr-analog/python/analog/qa_fastnoise.py b/gr-analog/python/analog/qa_fastnoise.py index 91e1cb87b7..605a0552ac 100644 --- a/gr-analog/python/analog/qa_fastnoise.py +++ b/gr-analog/python/analog/qa_fastnoise.py @@ -20,7 +20,8 @@ # Boston, MA 02110-1301, USA. # -from gnuradio import gr, gr_unittest, analog +from gnuradio import gr, gr_unittest, analog, blocks +import numpy class test_fastnoise_source(gr_unittest.TestCase): @@ -30,21 +31,58 @@ class test_fastnoise_source(gr_unittest.TestCase): def tearDown (self): self.tb = None - def test_001(self): - # Just confirm that we can instantiate a noise source - op = analog.fastnoise_source_f(analog.GR_GAUSSIAN, 10, 10) + def test_001_test_moments(self): + tb = self.tb - def test_002(self): - # Test get methods - set_type = analog.GR_GAUSSIAN - set_ampl = 10 - op = analog.fastnoise_source_f(set_type, set_ampl, 10) - get_type = op.type() - get_ampl = op.amplitude() + NUM = 2**22 + NUM_ITEMS = 10**6 + DEFAULTARGS = {"samples": NUM, "seed": 43, "ampl": 1} + self.uni_real_src = analog.fastnoise_source_f(type = analog.GR_UNIFORM, **DEFAULTARGS) + self.uni_cplx_src = analog.fastnoise_source_c(type = analog.GR_UNIFORM, **DEFAULTARGS) - self.assertEqual(get_type, set_type) - self.assertEqual(get_ampl, set_ampl) + self.norm_real_src = analog.fastnoise_source_f(type = analog.GR_GAUSSIAN, **DEFAULTARGS) + self.norm_cplx_src = analog.fastnoise_source_c(type = analog.GR_GAUSSIAN, **DEFAULTARGS) + self.lapl_real_src = analog.fastnoise_source_f(type = analog.GR_LAPLACIAN, **DEFAULTARGS) + + types = { + self.uni_real_src: "uniform", self.uni_cplx_src: "uniform", + self.norm_cplx_src: "norm", self.norm_cplx_src: "norm", + self.lapl_real_src: "laplace" + } + + real_srcs = [self.uni_real_src, self.norm_real_src, self.lapl_real_src] + cplx_srcs = [self.uni_cplx_src, self.norm_cplx_src] + + paths = {} + for src in real_srcs: + head = blocks.head(nitems=NUM_ITEMS, sizeof_stream_item=gr.sizeof_float) + sink = blocks.vector_sink_f() + paths[src] = (src, head, sink) + + for src in cplx_srcs: + head = blocks.head(nitems=NUM_ITEMS, sizeof_stream_item=gr.sizeof_gr_complex) + sink = blocks.vector_sink_c() + paths[src] = (src, head, sink) + for path in paths.itervalues(): + tb.connect(*path) + + tb.run() + self.data = {src: path[2].data() for src, path in paths.iteritems()} + data = self.data + # min, max + self.assertAlmostEqual(min(data[self.uni_real_src]), -1, places=4) + self.assertAlmostEqual(max(data[self.uni_real_src]), 1, places=4) + # mean, variance + data = numpy.array(data[self.uni_real_src]) + self.assertAlmostEqual(data.mean(), 0, places = 2) + self.assertAlmostEqual(data.var(), (1-(-1))**2./12, places = 3) + data = numpy.array(self.data[self.norm_real_src]) + self.assertAlmostEqual(data.mean(), 0, places=2) + self.assertAlmostEqual(data.var(), 1, places=2) + data = numpy.array(self.data[self.lapl_real_src]) + self.assertAlmostEqual(data.mean(), 0, places=2) + self.assertAlmostEqual(data.var(), 2, places=2) if __name__ == '__main__': gr_unittest.run(test_fastnoise_source, "test_fastnoise_source.xml") |