1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
|
#!/usr/bin/env python
#
# Copyright 2004,2005,2007,2010,2012,2013,2014 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
#
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 = list(range(N))
r2 = list(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)
|