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-rw-r--r--gr-digital/python/digital/qa_constellation_encoder_bc.py81
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diff --git a/gr-digital/python/digital/qa_constellation_encoder_bc.py b/gr-digital/python/digital/qa_constellation_encoder_bc.py
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+#!/usr/bin/env python
+#
+# Copyright 2004,2007,2010-2013,2020 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, digital, blocks
+import numpy as np
+
+class test_constellation_encoder(gr_unittest.TestCase):
+
+ def setUp(self):
+ self.tb = gr.top_block()
+
+ def tearDown(self):
+ self.tb = None
+
+ def test_constellation_encoder_bc_bpsk(self):
+ cnst = digital.constellation_bpsk()
+
+ src_data = (1, 1, 0, 0,
+ 1, 0, 1)
+ const_map = [-1.0, 1.0]
+ expected_result = [const_map[x] for x in src_data]
+
+ src = blocks.vector_source_b(src_data)
+ op = digital.constellation_encoder_bc(cnst.base())
+ dst = blocks.vector_sink_c()
+
+ self.tb.connect(src, op)
+ self.tb.connect(op, dst)
+ self.tb.run() # run the graph and wait for it to finish
+
+ actual_result = dst.data() # fetch the contents of the sink
+ # print "actual result", actual_result
+ # print "expected result", expected_result
+ self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
+
+ def test_constellation_encoder_bc_qpsk(self):
+ cnst = digital.constellation_qpsk()
+ src_data = (3, 1, 0, 2,
+ 3, 2, 1)
+ expected_result = [cnst.points()[x] for x in src_data]
+ src = blocks.vector_source_b(src_data)
+ op = digital.constellation_encoder_bc(cnst.base())
+ dst = blocks.vector_sink_c()
+
+ self.tb.connect(src, op)
+ self.tb.connect(op, dst)
+ self.tb.run() # run the graph and wait for it to finish
+
+ actual_result = dst.data() # fetch the contents of the sink
+ # print "actual result", actual_result
+ # print "expected result", expected_result
+ self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
+
+
+ def test_constellation_encoder_bc_qpsk_random(self):
+ cnst = digital.constellation_qpsk()
+ src_data = np.random.randint(0, 4, size=20000)
+ expected_result = [cnst.points()[x] for x in src_data]
+ src = blocks.vector_source_b(src_data)
+ op = digital.constellation_encoder_bc(cnst.base())
+ dst = blocks.vector_sink_c()
+
+ self.tb.connect(src, op)
+ self.tb.connect(op, dst)
+ self.tb.run() # run the graph and wait for it to finish
+
+ actual_result = dst.data() # fetch the contents of the sink
+ # print "actual result", actual_result
+ # print "expected result", expected_result
+ self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
+
+if __name__ == '__main__':
+ gr_unittest.run(test_constellation_encoder)