diff options
Diffstat (limited to 'gr-blocks/python')
| -rwxr-xr-x | gr-blocks/python/qa_delay.py | 65 | ||||
| -rw-r--r-- | gr-blocks/python/qa_file_metadata.py | 4 | ||||
| -rwxr-xr-x | gr-blocks/python/qa_packed_to_unpacked.py | 344 | ||||
| -rw-r--r-- | gr-blocks/python/qa_rms.py | 83 |
4 files changed, 494 insertions, 2 deletions
diff --git a/gr-blocks/python/qa_delay.py b/gr-blocks/python/qa_delay.py new file mode 100755 index 000000000..031cadb2d --- /dev/null +++ b/gr-blocks/python/qa_delay.py @@ -0,0 +1,65 @@ +#!/usr/bin/env python +# +# Copyright 2004,2007,2010,2013 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 + +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 = blocks.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 = blocks.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/gr-blocks/python/qa_file_metadata.py b/gr-blocks/python/qa_file_metadata.py index 29ed0d1c8..c7826b1d3 100644 --- a/gr-blocks/python/qa_file_metadata.py +++ b/gr-blocks/python/qa_file_metadata.py @@ -28,8 +28,8 @@ import os, math def sig_source_c(samp_rate, freq, amp, N): t = map(lambda x: float(x)/samp_rate, xrange(N)) - y = map(lambda x: math.cos(2.*math.pi*freq*x) + \ - 1j*math.sin(2.*math.pi*freq*x), t) + y = map(lambda x: amp*math.cos(2.*math.pi*freq*x) + \ + 1j*amp*math.sin(2.*math.pi*freq*x), t) return y class test_file_metadata(gr_unittest.TestCase): 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") + diff --git a/gr-blocks/python/qa_rms.py b/gr-blocks/python/qa_rms.py new file mode 100644 index 000000000..f3386668a --- /dev/null +++ b/gr-blocks/python/qa_rms.py @@ -0,0 +1,83 @@ +#!/usr/bin/env python +# +# Copyright 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 math + +def sig_source_f(samp_rate, freq, amp, N): + t = map(lambda x: float(x)/samp_rate, xrange(N)) + y = map(lambda x: amp*math.cos(2.*math.pi*freq*x), t) + return y + +def sig_source_c(samp_rate, freq, amp, N): + t = map(lambda x: float(x)/samp_rate, xrange(N)) + y = map(lambda x: amp*math.cos(2.*math.pi*freq*x) + \ + 1j*amp*math.sin(2.*math.pi*freq*x), t) + return y + +class test_rms(gr_unittest.TestCase): + + def setUp(self): + self.tb = gr.top_block() + + def tearDown(self): + self.tb = None + + def test_ff(self): + amp = 2 + src_data = sig_source_f(1, 0.01, amp, 200) + N = 750000 + + expected_data = amp/math.sqrt(2.0) + + src = gr.vector_source_f(src_data, True) + head = gr.head(gr.sizeof_float, N) + op = blocks.rms_ff(0.0001) + dst = gr.vector_sink_f() + + self.tb.connect(src, head, op, dst) + self.tb.run() + + dst_data = dst.data() + self.assertAlmostEqual(dst_data[-1], expected_data, 4) + + def test_cf(self): + amp = 4 + src_data = sig_source_c(1, 0.01, amp, 200) + N = 750000 + + expected_data = amp + + src = gr.vector_source_c(src_data, True) + head = gr.head(gr.sizeof_gr_complex, N) + op = blocks.rms_cf(0.0001) + dst = gr.vector_sink_f() + + self.tb.connect(src, head, op, dst) + self.tb.run() + + dst_data = dst.data() + self.assertAlmostEqual(dst_data[-1], expected_data, 4) + +if __name__ == '__main__': + gr_unittest.run(test_rms, "test_rms.xml") |