#!/usr/bin/env python

#

# Copyright 2005,2007,2010 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 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):

        """

        Test stream_to_streams.

        """

        src_data = (0x80,)

        expected_results = (1,0,0,0,0,0,0,0)

        src = gr.vector_source_b(src_data,False)

        op = gr.packed_to_unpacked_bb(1, gr.GR_MSB_FIRST)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_002(self):

        """

        Test stream_to_streams.

        """

        src_data = (0x80,)

        expected_results = (0,0,0,0,0,0,0, 1)

        src = gr.vector_source_b(src_data,False)

        op = gr.packed_to_unpacked_bb(1, gr.GR_LSB_FIRST)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_003(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_004(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_005(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_006(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_007(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_008(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op)

        dst = gr.vector_sink_b()

        self.tb.connect(op, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_009(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_b()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results[0:201], dst.data())

    def test_010(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_b()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results[0:201], dst.data())

    def test_011(self):

        """

        Test stream_to_streams.

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_b()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results[0:201], dst.data())

    # tests on shorts

    def test_100a(self):

        """

        test short version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_s()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_100b(self):

        """

        test short version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_s()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_101a(self):

        """

        test short version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_s()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_101b(self):

        """

        test short version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_s()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    # tests on ints

    def test_200a(self):

        """

        test int version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_i()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_200b(self):

        """

        test int version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_i()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_201a(self):

        """

        test int version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_i()

        self.tb.connect(op2, dst)

        self.tb.run()

        self.assertEqual(expected_results, dst.data())

    def test_201b(self):

        """

        test int version

        """

        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)

        self.tb.connect(src, op1, op2)

        dst = gr.vector_sink_i()

        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")