blocks: removing blocks from gnuradio-core.

delay, rms, packed_to_unpacked, unpacked_to_packed.
author: Tom Rondeau <trondeau@vt.edu> 2013-02-21 19:34:27 -0500
committer: Tom Rondeau <trondeau@vt.edu> 2013-02-21 19:34:27 -0500
commit: 4f479665bc9f04e52b047cb270772ee61e319a59 (patch)
tree: 09a018da0d2c14f160520707ecc2a2ff6ae8e1f1 /gnuradio-core/src/python
parent: 7b4a518bfe47fb1d0b2a32fc5c93ed0157d2dc6c (diff)
2 files changed, 0 insertions, 470 deletions
diff --git a/gnuradio-core/src/python/gnuradio/gr/qa_delay.py b/gnuradio-core/src/python/gnuradio/gr/qa_delay.py
deleted file mode 100755
index 0d0bc1330f..0000000000
--- a/gnuradio-core/src/python/gnuradio/gr/qa_delay.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/usr/bin/env python
-#
-# Copyright 2004,2007,2010 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 math
-
-class test_delay (gr_unittest.TestCase):
-
-    def setUp (self):
-        self.tb = gr.top_block ()
-
-    def tearDown (self):
-        self.tb = None
-
-    def test_000 (self):
-        delta_t = 0
-        tb = self.tb
-        src_data = [float(x) for x in range(0, 100)]
-        expected_result = tuple(delta_t*[0.0] + src_data)
-
-        src = gr.vector_source_f(src_data)
-        op = gr.delay(gr.sizeof_float, delta_t)
-        dst = gr.vector_sink_f ()
-
-        tb.connect (src, op, dst)
-        tb.run ()
-        dst_data = dst.data ()
-        self.assertEqual (expected_result, dst_data)
-
-    def test_010 (self):
-        delta_t = 10
-        tb = self.tb
-        src_data = [float(x) for x in range(0, 100)]
-        expected_result = tuple(delta_t*[0.0] + src_data)
-
-        src = gr.vector_source_f(src_data)
-        op = gr.delay(gr.sizeof_float, delta_t)
-        dst = gr.vector_sink_f ()
-
-        tb.connect (src, op, dst)
-        tb.run ()
-        dst_data = dst.data ()
-        self.assertEqual (expected_result, dst_data)
-
-if __name__ == '__main__':
-    gr_unittest.run(test_delay, "test_delay.xml")
diff --git a/gnuradio-core/src/python/gnuradio/gr/qa_packed_to_unpacked.py b/gnuradio-core/src/python/gnuradio/gr/qa_packed_to_unpacked.py
deleted file mode 100755
index 08accd0ad1..0000000000
--- a/gnuradio-core/src/python/gnuradio/gr/qa_packed_to_unpacked.py
+++ /dev/null
@@ -1,405 +0,0 @@
-#!/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")
-
author	Tom Rondeau <trondeau@vt.edu>	2013-02-21 19:34:27 -0500
committer	Tom Rondeau <trondeau@vt.edu>	2013-02-21 19:34:27 -0500
commit	4f479665bc9f04e52b047cb270772ee61e319a59 (patch)
tree	09a018da0d2c14f160520707ecc2a2ff6ae8e1f1 /gnuradio-core/src/python
parent	7b4a518bfe47fb1d0b2a32fc5c93ed0157d2dc6c (diff)