#!/usr/bin/env python
#
# Copyright 2004,2005,2007,2010,2012,2013,2014 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#
from gnuradio import gr, gr_unittest, blocks
import pmt
import os
class test_stream_mux (gr_unittest.TestCase):
def setUp (self):
os.environ['GR_CONF_CONTROLPORT_ON'] = 'False'
self.tb = gr.top_block ()
def tearDown (self):
self.tb = None
def help_stream_2ff(self, N, stream_sizes):
v0 = blocks.vector_source_f(N*[1,], False)
v1 = blocks.vector_source_f(N*[2,], False)
mux = blocks.stream_mux(gr.sizeof_float, stream_sizes)
dst = blocks.vector_sink_f ()
self.tb.connect (v0, (mux,0))
self.tb.connect (v1, (mux,1))
self.tb.connect (mux, dst)
self.tb.run ()
return dst.data ()
def help_stream_ramp_2ff(self, N, stream_sizes):
r1 = range(N)
r2 = range(N)
r2.reverse()
v0 = blocks.vector_source_f(r1, False)
v1 = blocks.vector_source_f(r2, False)
mux = blocks.stream_mux(gr.sizeof_float, stream_sizes)
dst = blocks.vector_sink_f ()
self.tb.connect (v0, (mux,0))
self.tb.connect (v1, (mux,1))
self.tb.connect (mux, dst)
self.tb.run ()
return dst.data ()
def help_stream_tag_propagation(self, N, stream_sizes):
src_data1 = stream_sizes[0]*N*[1,]
src_data2 = stream_sizes[1]*N*[2,]
src_data3 = stream_sizes[2]*N*[3,]
# stream_mux scheme (3,2,4)
src1 = blocks.vector_source_f(src_data1)
src2 = blocks.vector_source_f(src_data2)
src3 = blocks.vector_source_f(src_data3)
tag_stream1 = blocks.stream_to_tagged_stream(gr.sizeof_float, 1,
stream_sizes[0], 'src1')
tag_stream2 = blocks.stream_to_tagged_stream(gr.sizeof_float, 1,
stream_sizes[1], 'src2')
tag_stream3 = blocks.stream_to_tagged_stream(gr.sizeof_float, 1,
stream_sizes[2], 'src3')
mux = blocks.stream_mux(gr.sizeof_float, stream_sizes)
dst = blocks.vector_sink_f()
self.tb.connect(src1, tag_stream1)
self.tb.connect(src2, tag_stream2)
self.tb.connect(src3, tag_stream3)
self.tb.connect(tag_stream1, (mux,0))
self.tb.connect(tag_stream2, (mux,1))
self.tb.connect(tag_stream3, (mux,2))
self.tb.connect(mux, dst)
self.tb.run()
return (dst.data (), dst.tags ())
def test_stream_2NN_ff(self):
N = 40
stream_sizes = [10, 10]
result_data = self.help_stream_2ff(N, stream_sizes)
exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0)
self.assertEqual (exp_data, result_data)
def test_stream_ramp_2NN_ff(self):
N = 40
stream_sizes = [10, 10]
result_data = self.help_stream_ramp_2ff(N, stream_sizes)
exp_data = ( 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0,
39.0, 38.0, 37.0, 36.0, 35.0, 34.0, 33.0, 32.0, 31.0, 30.0,
10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0,
29.0, 28.0, 27.0, 26.0, 25.0, 24.0, 23.0, 22.0, 21.0, 20.0,
20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0,
19.0, 18.0, 17.0, 16.0, 15.0, 14.0, 13.0, 12.0, 11.0, 10.0,
30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0,
9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0)
self.assertEqual (exp_data, result_data)
def test_stream_2NM_ff(self):
N = 40
stream_sizes = [7, 9]
self.help_stream_2ff(N, stream_sizes)
result_data = self.help_stream_2ff(N, stream_sizes)
exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0)
self.assertEqual (exp_data, result_data)
def test_stream_2MN_ff(self):
N = 37
stream_sizes = [7, 9]
self.help_stream_2ff(N, stream_sizes)
result_data = self.help_stream_2ff(N, stream_sizes)
exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
2.0)
self.assertEqual (exp_data, result_data)
def test_stream_2N0_ff(self):
N = 30
stream_sizes = [7, 0]
self.help_stream_2ff(N, stream_sizes)
result_data = self.help_stream_2ff(N, stream_sizes)
exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0)
self.assertEqual (exp_data, result_data)
def test_stream_20N_ff(self):
N = 30
stream_sizes = [0, 9]
self.help_stream_2ff(N, stream_sizes)
result_data = self.help_stream_2ff(N, stream_sizes)
exp_data = (2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
2.0, 2.0, 2.0)
self.assertEqual (exp_data, result_data)
def test_largeN_ff(self):
stream_sizes = [3, 8191]
r1 = (1,) * stream_sizes[0]
r2 = (2,) * stream_sizes[1]
v0 = blocks.vector_source_f(r1, repeat=False)
v1 = blocks.vector_source_f(r2, repeat=False)
mux = blocks.stream_mux(gr.sizeof_float, stream_sizes)
dst = blocks.vector_sink_f ()
self.tb.connect (v0, (mux,0))
self.tb.connect (v1, (mux,1))
self.tb.connect (mux, dst)
self.tb.run ()
self.assertEqual (r1 + r2, dst.data())
def test_tag_propagation(self):
N = 10 # Block length
stream_sizes = [1,2,3]
expected_result = N*(stream_sizes[0]*[1,]
+stream_sizes[1]*[2,]
+stream_sizes[2]*[3,])
# check the data
(result, tags) = self.help_stream_tag_propagation(N, stream_sizes)
self.assertFloatTuplesAlmostEqual(expected_result, result, places=6)
# check the tags
expected_tag_offsets_src1 = [sum(stream_sizes)*i for i in range(N)]
expected_tag_offsets_src2 = [stream_sizes[0]
+sum(stream_sizes)*i for i in range(N)]
expected_tag_offsets_src3 = [stream_sizes[0]+stream_sizes[1]
+sum(stream_sizes)*i for i in range(N)]
tags_src1 = [tag for tag in tags if pmt.eq(tag.key, pmt.intern('src1'))]
tags_src2 = [tag for tag in tags if pmt.eq(tag.key, pmt.intern('src2'))]
tags_src3 = [tag for tag in tags if pmt.eq(tag.key, pmt.intern('src3'))]
for i in range(len(expected_tag_offsets_src1)):
self.assertTrue(expected_tag_offsets_src1[i] == tags_src1[i].offset)
for i in range(len(expected_tag_offsets_src2)):
self.assertTrue(expected_tag_offsets_src2[i] == tags_src2[i].offset)
for i in range(len(expected_tag_offsets_src3)):
self.assertTrue(expected_tag_offsets_src3[i] == tags_src3[i].offset)
if __name__ == '__main__':
gr_unittest.run(test_stream_mux, "test_stream_mux.xml")