diff options
Diffstat (limited to 'gr-blocks/python/qa_packed_to_unpacked.py')
| -rwxr-xr-x | gr-blocks/python/qa_packed_to_unpacked.py | 344 |
1 files changed, 344 insertions, 0 deletions
diff --git a/gr-blocks/python/qa_packed_to_unpacked.py b/gr-blocks/python/qa_packed_to_unpacked.py new file mode 100755 index 000000000..98a02e78f --- /dev/null +++ b/gr-blocks/python/qa_packed_to_unpacked.py @@ -0,0 +1,344 @@ +#!/usr/bin/env python +# +# Copyright 2005,2007,2010,2013 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 blocks_swig as blocks +import random + +class test_packing(gr_unittest.TestCase): + + def setUp(self): + self.tb = gr.top_block () + + def tearDown(self): + self.tb = None + + def test_001(self): + src_data = (0x80,) + expected_results = (1,0,0,0,0,0,0,0) + src = gr.vector_source_b(src_data, False) + op = blocks.packed_to_unpacked_bb(1, gr.GR_MSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_002(self): + src_data = (0x80,) + expected_results = (0,0,0,0,0,0,0,1) + src = gr.vector_source_b(src_data, False) + op = blocks.packed_to_unpacked_bb(1, gr.GR_LSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_003(self): + src_data = (0x11,) + expected_results = (4, 2) + src = gr.vector_source_b(src_data, False) + op = gr.packed_to_unpacked_bb(3, gr.GR_LSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_004(self): + src_data = (0x11,) + expected_results = (0, 4) + src = gr.vector_source_b(src_data, False) + op = gr.packed_to_unpacked_bb(3, gr.GR_MSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_005(self): + src_data = (1,0,0,0,0,0,1,0,0,1,0,1,1,0,1,0) + expected_results = (0x82, 0x5a) + src = gr.vector_source_b(src_data, False) + op = gr.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_006(self): + src_data = (0,1,0,0,0,0,0,1,0,1,0,1,1,0,1,0) + expected_results = (0x82, 0x5a) + src = gr.vector_source_b(src_data, False) + op = gr.unpacked_to_packed_bb(1, gr.GR_LSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_007(self): + src_data = (4, 2, 0,0,0) + expected_results = (0x11,) + src = gr.vector_source_b(src_data, False) + op = gr.unpacked_to_packed_bb(3, gr.GR_LSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_008(self): + src_data = (0, 4, 2,0,0) + expected_results = (0x11,) + src = gr.vector_source_b(src_data,False) + op = gr.unpacked_to_packed_bb(3, gr.GR_MSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op) + self.tb.connect(op, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_009(self): + random.seed(0) + src_data = [] + for i in xrange(202): + src_data.append((random.randint(0,255))) + src_data = tuple(src_data) + expected_results = src_data + + src = gr.vector_source_b(tuple(src_data), False) + op1 = gr.packed_to_unpacked_bb(3, gr.GR_MSB_FIRST) + op2 = gr.unpacked_to_packed_bb(3, gr.GR_MSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results[0:201], dst.data()) + + def test_010(self): + random.seed(0) + src_data = [] + for i in xrange(56): + src_data.append((random.randint(0,255))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_b(tuple(src_data), False) + op1 = gr.packed_to_unpacked_bb(7, gr.GR_MSB_FIRST) + op2 = gr.unpacked_to_packed_bb(7, gr.GR_MSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results[0:201], dst.data()) + + def test_011(self): + random.seed(0) + src_data = [] + for i in xrange(56): + src_data.append((random.randint(0,255))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_b(tuple(src_data),False) + op1 = gr.packed_to_unpacked_bb(7, gr.GR_LSB_FIRST) + op2 = gr.unpacked_to_packed_bb(7, gr.GR_LSB_FIRST) + dst = gr.vector_sink_b() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results[0:201], dst.data()) + + + # tests on shorts + def test_100a(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**15,2**15-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_s(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ss(1, gr.GR_MSB_FIRST) + op2 = gr.unpacked_to_packed_ss(1, gr.GR_MSB_FIRST) + dst = gr.vector_sink_s() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_100b(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**15,2**15-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_s(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ss(1, gr.GR_LSB_FIRST) + op2 = gr.unpacked_to_packed_ss(1, gr.GR_LSB_FIRST) + dst = gr.vector_sink_s() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_101a(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**15,2**15-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_s(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ss(8, gr.GR_MSB_FIRST) + op2 = gr.unpacked_to_packed_ss(8, gr.GR_MSB_FIRST) + dst = gr.vector_sink_s() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_101b(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**15,2**15-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_s(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ss(8, gr.GR_LSB_FIRST) + op2 = gr.unpacked_to_packed_ss(8, gr.GR_LSB_FIRST) + dst = gr.vector_sink_s() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + + # tests on ints + def test_200a(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**31,2**31-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_i(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ii(1, gr.GR_MSB_FIRST) + op2 = gr.unpacked_to_packed_ii(1, gr.GR_MSB_FIRST) + dst = gr.vector_sink_i() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_200b(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**31,2**31-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_i(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ii(1, gr.GR_LSB_FIRST) + op2 = gr.unpacked_to_packed_ii(1, gr.GR_LSB_FIRST) + dst = gr.vector_sink_i() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_201a(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**31,2**31-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_i(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ii(8, gr.GR_MSB_FIRST) + op2 = gr.unpacked_to_packed_ii(8, gr.GR_MSB_FIRST) + dst = gr.vector_sink_i() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + + def test_201b(self): + random.seed(0) + src_data = [] + for i in xrange(100): + src_data.append((random.randint(-2**31,2**31-1))) + src_data = tuple(src_data) + expected_results = src_data + src = gr.vector_source_i(tuple(src_data), False) + op1 = gr.packed_to_unpacked_ii(8, gr.GR_LSB_FIRST) + op2 = gr.unpacked_to_packed_ii(8, gr.GR_LSB_FIRST) + dst = gr.vector_sink_i() + + self.tb.connect(src, op1, op2) + self.tb.connect(op2, dst) + self.tb.run() + + self.assertEqual(expected_results, dst.data()) + +if __name__ == '__main__': + gr_unittest.run(test_packing, "test_packing.xml") + |