3 # Copyright 2004,2005 Free Software Foundation, Inc.
5 # This file is part of GNU Radio
7 # GNU Radio is free software; you can redistribute it and/or modify
8 # it under the terms of the GNU General Public License as published by
9 # the Free Software Foundation; either version 3, or (at your option)
12 # GNU Radio is distributed in the hope that it will be useful,
13 # but WITHOUT ANY WARRANTY; without even the implied warranty of
14 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 # GNU General Public License for more details.
17 # You should have received a copy of the GNU General Public License
18 # along with GNU Radio; see the file COPYING. If not, write to
19 # the Free Software Foundation, Inc., 51 Franklin Street,
20 # Boston, MA 02110-1301, USA.
23 from gnuradio import gr, gr_unittest
25 class test_head (gr_unittest.TestCase):
28 self.fg = gr.flow_graph ()
33 def help_stream_2ff(self, N, stream_sizes):
34 v0 = gr.vector_source_f(N*[1,], False)
35 v1 = gr.vector_source_f(N*[2,], False)
37 mux = gr.stream_mux(gr.sizeof_float, stream_sizes)
39 dst = gr.vector_sink_f ()
41 self.fg.connect (v0, (mux,0))
42 self.fg.connect (v1, (mux,1))
43 self.fg.connect (mux, dst)
48 def help_stream_ramp_2ff(self, N, stream_sizes):
53 v0 = gr.vector_source_f(r1, False)
54 v1 = gr.vector_source_f(r2, False)
56 mux = gr.stream_mux(gr.sizeof_float, stream_sizes)
58 dst = gr.vector_sink_f ()
60 self.fg.connect (v0, (mux,0))
61 self.fg.connect (v1, (mux,1))
62 self.fg.connect (mux, dst)
67 def test_stream_2NN_ff(self):
69 stream_sizes = [10, 10]
70 result_data = self.help_stream_2ff(N, stream_sizes)
72 exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
73 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
74 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
75 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
76 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
77 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
78 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
79 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0)
80 self.assertEqual (exp_data, result_data)
82 def test_stream_ramp_2NN_ff(self):
84 stream_sizes = [10, 10]
85 result_data = self.help_stream_ramp_2ff(N, stream_sizes)
87 exp_data = ( 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0,
88 39.0, 38.0, 37.0, 36.0, 35.0, 34.0, 33.0, 32.0, 31.0, 30.0,
89 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0,
90 29.0, 28.0, 27.0, 26.0, 25.0, 24.0, 23.0, 22.0, 21.0, 20.0,
91 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0,
92 19.0, 18.0, 17.0, 16.0, 15.0, 14.0, 13.0, 12.0, 11.0, 10.0,
93 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0,
94 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0)
95 self.assertEqual (exp_data, result_data)
98 def test_stream_2NM_ff(self):
100 stream_sizes = [7, 9]
101 self.help_stream_2ff(N, stream_sizes)
103 result_data = self.help_stream_2ff(N, stream_sizes)
105 exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
106 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
107 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
108 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
109 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
110 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
111 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
112 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
113 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
116 self.assertEqual (exp_data, result_data)
119 def test_stream_2MN_ff(self):
121 stream_sizes = [7, 9]
122 self.help_stream_2ff(N, stream_sizes)
124 result_data = self.help_stream_2ff(N, stream_sizes)
126 exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
127 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
128 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
129 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
130 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
131 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
132 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
133 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
134 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
137 self.assertEqual (exp_data, result_data)
139 def test_stream_2N0_ff(self):
141 stream_sizes = [7, 0]
142 self.help_stream_2ff(N, stream_sizes)
144 result_data = self.help_stream_2ff(N, stream_sizes)
146 exp_data = (1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
147 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
148 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
149 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
152 self.assertEqual (exp_data, result_data)
154 def test_stream_20N_ff(self):
156 stream_sizes = [0, 9]
157 self.help_stream_2ff(N, stream_sizes)
159 result_data = self.help_stream_2ff(N, stream_sizes)
161 exp_data = (2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
162 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
163 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0,
166 self.assertEqual (exp_data, result_data)
169 if __name__ == '__main__':