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#!/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")
|
