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authorJohnathan Corgan <johnathan@corganlabs.com>2015-09-05 18:05:13 -0700
committerJohnathan Corgan <johnathan@corganlabs.com>2015-09-05 18:05:13 -0700
commit24c336cd99d8012681d40ccb00b1966e3c28450f (patch)
tree45cf228c11a1669f0e62bee13e3efbad17fcd4bd /gnuradio-runtime/python
parent273e5068d6d418eebb77dc0b5e15da20018bb90f (diff)
parent45c0feeaeffde561758a4d92bf4463d60b85633a (diff)
Merge branch 'master' into next
Conflicts: gr-atsc/lib/qa_atsci_fake_single_viterbi.cc gr-atsc/lib/qa_atsci_fs_correlator.cc gr-atsc/lib/qa_atsci_single_viterbi.cc
Diffstat (limited to 'gnuradio-runtime/python')
-rw-r--r--gnuradio-runtime/python/gnuradio/gr/qa_random.py64
1 files changed, 64 insertions, 0 deletions
diff --git a/gnuradio-runtime/python/gnuradio/gr/qa_random.py b/gnuradio-runtime/python/gnuradio/gr/qa_random.py
new file mode 100644
index 0000000000..83fee56181
--- /dev/null
+++ b/gnuradio-runtime/python/gnuradio/gr/qa_random.py
@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+#
+# Copyright 2006,2007,2010,2015 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 numpy as np
+
+class test_random(gr_unittest.TestCase):
+
+ # NOTE: For tests on the output distribution of the random numbers, see gnuradio-runtime/apps/evaluation_random_numbers.py.
+
+ # Check for range [0,1) of uniform distributed random numbers
+ def test_1(self):
+ num_tests = 10000
+ values = np.zeros(num_tests)
+ rndm = gr.random()
+ for k in range(num_tests):
+ values[k] = rndm.ran1()
+ for value in values:
+ self.assertLess(value, 1)
+ self.assertGreaterEqual(value, 0)
+
+ # Check reseed method (init with time and seed as fix number)
+ def test_2(self):
+ num = 5
+
+ rndm0 = gr.random(42); # init with time
+ rndm1 = gr.random(42); # init with fix seed
+ for k in range(num):
+ x = rndm0.ran1();
+ y = rndm1.ran1();
+ self.assertEqual(x,y)
+
+ x = np.zeros(num)
+ y = np.zeros(num)
+ rndm0 = gr.random(42); # init with fix seed 1
+ for k in range(num):
+ x[k] = rndm0.ran1();
+ rndm1.reseed(43); # init with fix seed 2
+ for k in range(num):
+ y[k] = rndm0.ran1();
+ for k in range(num):
+ self.assertNotEqual(x[k],y[k])
+
+if __name__ == '__main__':
+ gr_unittest.run(test_random, "test_random.xml")