digital: added some QA tests for the clock_recovery_mm block.

1 files changed, 176 insertions, 0 deletions

diff --git a/gr-digital/python/qa_clock_recovery_mm.py b/gr-digital/python/qa_clock_recovery_mm.py
new file mode 100644
index 000000000..d5394fa51
--- /dev/null
+++ b/gr-digital/python/qa_clock_recovery_mm.py
@@ -0,0 +1,176 @@
+#!/usr/bin/env python
+#
+# Copyright 2011 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
+import digital_swig, psk2
+import random, cmath
+
+class test_digital(gr_unittest.TestCase):
+
+    def setUp (self):
+        self.tb = gr.top_block ()
+
+    def tearDown (self):
+        self.tb = None
+
+    def test01 (self):
+        # Test complex/complex version
+        omega = 2
+        gain_omega = 0.001
+        mu = 0.5
+        gain_mu = 0.01
+        omega_rel_lim = 0.001
+
+        self.test = digital_swig.clock_recovery_mm_cc(omega, gain_omega,
+                                                      mu, gain_mu,
+                                                      omega_rel_lim)
+        
+        data = 100*[complex(1, 1),]
+        self.src = gr.vector_source_c(data, False)
+        self.snk = gr.vector_sink_c()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+        
+        expected_result = 100*[complex(0.99972, 0.99972)] # doesn't quite get to 1.0
+        dst_data = self.snk.data()
+
+        # Only compare last Ncmp samples
+        Ncmp = 30
+        len_e = len(expected_result)
+        len_d = len(dst_data)
+        expected_result = expected_result[len_e - Ncmp:]
+        dst_data = dst_data[len_d - Ncmp:]
+
+        #print expected_result
+        #print dst_data
+        
+        self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 5)
+
+
+    def test02 (self):
+        # Test float/float version
+        omega = 2
+        gain_omega = 0.01
+        mu = 0.5
+        gain_mu = 0.01
+        omega_rel_lim = 0.001
+
+        self.test = digital_swig.clock_recovery_mm_ff(omega, gain_omega,
+                                                      mu, gain_mu,
+                                                      omega_rel_lim)
+        
+        data = 100*[1,]
+        self.src = gr.vector_source_f(data, False)
+        self.snk = gr.vector_sink_f()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+        
+        expected_result = 100*[0.99972, ] # doesn't quite get to 1.0
+        dst_data = self.snk.data()
+
+        # Only compare last Ncmp samples
+        Ncmp = 30
+        len_e = len(expected_result)
+        len_d = len(dst_data)
+        expected_result = expected_result[len_e - Ncmp:]
+        dst_data = dst_data[len_d - Ncmp:]
+
+        #print expected_result
+        #print dst_data
+        
+        self.assertFloatTuplesAlmostEqual (expected_result, dst_data, 5)
+
+
+    def test03 (self):
+        # Test complex/complex version with varying input
+        omega = 2
+        gain_omega = 0.01
+        mu = 0.25
+        gain_mu = 0.1
+        omega_rel_lim = 0.0001
+
+        self.test = digital_swig.clock_recovery_mm_cc(omega, gain_omega,
+                                                      mu, gain_mu,
+                                                      omega_rel_lim)
+        
+        data = 1000*[complex(1, 1), complex(1, 1), complex(-1, -1), complex(-1, -1)]
+        self.src = gr.vector_source_c(data, False)
+        self.snk = gr.vector_sink_c()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+        
+        expected_result = 1000*[complex(-1.2, -1.2), complex(1.2, 1.2)]
+        dst_data = self.snk.data()
+
+        # Only compare last Ncmp samples
+        Ncmp = 100
+        len_e = len(expected_result)
+        len_d = len(dst_data)
+        expected_result = expected_result[len_e - Ncmp:]
+        dst_data = dst_data[len_d - Ncmp:]
+        
+        #print expected_result
+        #print dst_data
+        
+        self.assertComplexTuplesAlmostEqual (expected_result, dst_data, 1)
+
+
+    def test04 (self):
+        # Test float/float version
+        omega = 2
+        gain_omega = 0.01
+        mu = 0.25
+        gain_mu = 0.1
+        omega_rel_lim = 0.001
+
+        self.test = digital_swig.clock_recovery_mm_ff(omega, gain_omega,
+                                                      mu, gain_mu,
+                                                      omega_rel_lim)
+        
+        data = 1000*[1, 1, -1, -1]
+        self.src = gr.vector_source_f(data, False)
+        self.snk = gr.vector_sink_f()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+        
+        expected_result = 1000*[-1.31, 1.31]
+        dst_data = self.snk.data()
+
+        # Only compare last Ncmp samples
+        Ncmp = 100
+        len_e = len(expected_result)
+        len_d = len(dst_data)
+        expected_result = expected_result[len_e - Ncmp:]
+        dst_data = dst_data[len_d - Ncmp:]
+
+        #print expected_result
+        #print dst_data
+        
+        self.assertFloatTuplesAlmostEqual (expected_result, dst_data, 1)
+
+
+if __name__ == '__main__':
+    gr_unittest.run(test_digital, "test_digital.xml")