git.gag.com Git - debian/gnuradio/blob - gr-cvsd-vocoder/src/python/qa_cvsd_vocoder.py

   1 #!/usr/bin/env python
   2 #
   3 # Copyright 2007 Free Software Foundation, Inc.
   4 #
   5 # This file is part of GNU Radio
   6 #
   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)
  10 # any later version.
  11 #
  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.
  16 #
  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.
  21 #
  22
  23 from gnuradio import gr, gr_unittest, blks2
  24 import cvsd_vocoder
  25
  26 class qa_cvsd_test (gr_unittest.TestCase):
  27
  28     def setUp (self):
  29         self.tb = gr.top_block()
  30
  31     def tearDown (self):
  32         self.tb = None
  33
  34     """ Disable for now
  35     def test01(self):
  36         sample_rate = 8000
  37         scale_factor = 32000
  38
  39         expected_data = (6.9670547250243192e-21, -2.4088578356895596e-05,
  40                          -5.1261918997624889e-05, 7.2410854045301676e-05,
  41                          8.444241393590346e-05, -1.2537107068055775e-05,
  42                          0.00024186755763366818, -0.00060463894624263048,
  43                          0.00064864184241741896, 0.010409165173768997,
  44                          0.0087582804262638092, 0.017965050414204597,
  45                          0.010722399689257145, 0.006602009292691946,
  46                          0.02213001623749733, 0.0079685859382152557,
  47                          0.033707316964864731, 0.027021972462534904,
  48                          0.0086071854457259178, 0.0081678871065378189,
  49                          0.039343506097793579, 0.030671956017613411,
  50                          0.029626710340380669, 0.020126519724726677,
  51                          0.023636780679225922, 0.0064640454947948456,
  52                          -0.0038861562497913837, 0.0021134600974619389,
  53                          -0.0088051930069923401, -0.00023228264763019979,
  54                          -0.033737499266862869, -0.033141419291496277,
  55                          -0.037145044654607773, -0.0080892946571111679,
  56                          -0.077117636799812317, -0.078382067382335663,
  57                          -0.055503919720649719, -0.019355267286300659,
  58                          -0.022441385313868523, -0.073706060647964478,
  59                          -0.054677654057741165, -0.047119375318288803,
  60                          -0.044418536126613617, -0.036084383726119995,
  61                          -0.0206278245896101, -0.031200021505355835,
  62                          -0.0004070434661116451, 0.0006594572332687676,
  63                          -0.016584658995270729, 0.07387717068195343,
  64                          -0.0063191778026521206, 0.051200628280639648,
  65                          -0.029480356723070145, 0.05176771804690361,
  66                          0.038578659296035767, 0.026550088077783585,
  67                          0.067103870213031769, 0.001888439292088151,
  68                          0.28141644597053528, 0.49543789029121399,
  69                          0.6626054048538208, 0.79180729389190674,
  70                          0.89210402965545654, 0.96999943256378174,
  71                          1.0261462926864624, 1.0267977714538574,
  72                          1.0251555442810059, 1.0265737771987915,
  73                          1.0278496742248535, 1.0208886861801147,
  74                          1.0325057506561279, 0.91415292024612427,
  75                          0.83941859006881714, 0.67373806238174438,
  76                          0.51683622598648071, 0.38949671387672424,
  77                          0.16016888618469238, 0.049505095928907394,
  78                          -0.16699212789535522, -0.26886492967605591,
  79                          -0.49256673455238342, -0.59178370237350464,
  80                          -0.73317724466323853, -0.78922677040100098,
  81                          -0.88782668113708496, -0.96708977222442627,
  82                          -0.96490746736526489, -0.94962418079376221,
  83                          -0.94716215133666992, -0.93755108118057251,
  84                          -0.84852480888366699, -0.80485564470291138,
  85                          -0.69762390851974487, -0.58398681879043579,
  86                          -0.45891636610031128, -0.29681697487831116,
  87                          -0.16035343706607819, 0.014823081903159618,
  88                          0.16282452642917633, 0.33802291750907898)
  89
  90         src = gr.sig_source_f(sample_rate, gr.GR_SIN_WAVE, 200, 1, 0)
  91         head = gr.head(gr.sizeof_float, 100)
  92         src_scale = gr.multiply_const_ff(scale_factor)
  93
  94         interp = blks2.rational_resampler_fff(8, 1)
  95         f2s = gr.float_to_short ()
  96
  97         enc = cvsd_vocoder.encode_sb()
  98         dec = cvsd_vocoder.decode_bs()
  99
 100         s2f = gr.short_to_float ()
 101         decim = blks2.rational_resampler_fff(1, 8)
 102
 103         sink_scale = gr.multiply_const_ff(1.0/scale_factor)
 104         sink = gr.vector_sink_f()
 105
 106         self.tb.connect(src, src_scale, interp, f2s, enc)
 107         self.tb.connect(enc, dec, s2f, decim, sink_scale, head, sink)
 108         self.tb.run()
 109         print sink.data()
 110
 111         self.assertFloatTuplesAlmostEqual (expected_data, sink.data(), 5)
 112     """
 113
 114 if __name__ == '__main__':
 115     gr_unittest.main ()