diff options
author | Ben Reynwar <ben@reynwar.net> | 2013-03-07 23:06:08 -0700 |
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committer | Ben Reynwar <ben@reynwar.net> | 2013-03-07 23:06:08 -0700 |
commit | b841288cfb261da28746c4b3aaa7a1dfc078ebfd (patch) | |
tree | fb4bf432ba1f23d3b6a86345e8ad76ed18b21636 /gr-blocks/python/qa_packed_to_unpacked.py | |
parent | 45127424b4b7252dfc6d20c91709e1536497f97c (diff) |
blocks: Enabling uninstalled python imports.
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, 0 insertions, 344 deletions
diff --git a/gr-blocks/python/qa_packed_to_unpacked.py b/gr-blocks/python/qa_packed_to_unpacked.py deleted file mode 100755 index d84f5dbd37..0000000000 --- a/gr-blocks/python/qa_packed_to_unpacked.py +++ /dev/null @@ -1,344 +0,0 @@ -#!/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 = blocks.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 = blocks.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 = blocks.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 = blocks.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 = blocks.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 = blocks.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 = blocks.packed_to_unpacked_bb(3, gr.GR_MSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_bb(7, gr.GR_MSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_bb(7, gr.GR_LSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ss(1, gr.GR_MSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ss(1, gr.GR_LSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ss(8, gr.GR_MSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ss(8, gr.GR_LSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ii(1, gr.GR_MSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ii(1, gr.GR_LSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ii(8, gr.GR_MSB_FIRST) - op2 = blocks.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 = blocks.packed_to_unpacked_ii(8, gr.GR_LSB_FIRST) - op2 = blocks.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") - |