#!/usr/bin/env python # # Copyright 2008,2010,2012 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 this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. # from gnuradio import gr, gr_unittest import fft_swig as fft import sys import random primes = (2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53, 59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131, 137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223, 227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311) class test_fft(gr_unittest.TestCase): def setUp(self): pass def tearDown(self): pass def assert_fft_ok2(self, expected_result, result_data): expected_result = expected_result[:len(result_data)] self.assertComplexTuplesAlmostEqual2 (expected_result, result_data, abs_eps=1e-9, rel_eps=4e-4) def assert_fft_float_ok2(self, expected_result, result_data, abs_eps=1e-9, rel_eps=4e-4): expected_result = expected_result[:len(result_data)] self.assertFloatTuplesAlmostEqual2 (expected_result, result_data, abs_eps, rel_eps) def test_001(self): tb = gr.top_block() fft_size = 32 src_data = tuple([complex(primes[2*i], primes[2*i+1]) for i in range(fft_size)]) expected_result = ((4377+4516j), (-1706.1268310546875+1638.4256591796875j), (-915.2083740234375+660.69427490234375j), (-660.370361328125+381.59600830078125j), (-499.96044921875+238.41630554199219j), (-462.26748657226562+152.88948059082031j), (-377.98440551757812+77.5928955078125j), (-346.85821533203125+47.152004241943359j), (-295+20j), (-286.33609008789062-22.257017135620117j), (-271.52999877929688-33.081821441650391j), (-224.6358642578125-67.019538879394531j), (-244.24473571777344-91.524826049804688j), (-203.09068298339844-108.54627227783203j), (-198.45195007324219-115.90768432617188j), (-182.97744750976562-128.12318420410156j), (-167-180j), (-130.33688354492188-173.83778381347656j), (-141.19784545898438-190.28807067871094j), (-111.09677124023438-214.48896789550781j), (-70.039543151855469-242.41630554199219j), (-68.960540771484375-228.30015563964844j), (-53.049201965332031-291.47097778320312j), (-28.695289611816406-317.64553833007812j), (57-300j), (45.301143646240234-335.69509887695312j), (91.936195373535156-373.32437133789062j), (172.09465026855469-439.275146484375j), (242.24473571777344-504.47515869140625j), (387.81732177734375-666.6788330078125j), (689.48553466796875-918.2142333984375j), (1646.539306640625-1694.1956787109375j)) src = gr.vector_source_c(src_data) s2v = gr.stream_to_vector(gr.sizeof_gr_complex, fft_size) op = fft.fft_vcc(fft_size, True, [], False) v2s = gr.vector_to_stream(gr.sizeof_gr_complex, fft_size) dst = gr.vector_sink_c() tb.connect(src, s2v, op, v2s, dst) tb.run() result_data = dst.data() #print 'expected:', expected_result #print 'results: ', result_data #self.assertComplexTuplesAlmostEqual (expected_result, result_data, 5) self.assert_fft_ok2(expected_result, result_data) def test_002(self): tb = gr.top_block() fft_size = 32 tmp_data = ((4377+4516j), (-1706.1268310546875+1638.4256591796875j), (-915.2083740234375+660.69427490234375j), (-660.370361328125+381.59600830078125j), (-499.96044921875+238.41630554199219j), (-462.26748657226562+152.88948059082031j), (-377.98440551757812+77.5928955078125j), (-346.85821533203125+47.152004241943359j), (-295+20j), (-286.33609008789062-22.257017135620117j), (-271.52999877929688-33.081821441650391j), (-224.6358642578125-67.019538879394531j), (-244.24473571777344-91.524826049804688j), (-203.09068298339844-108.54627227783203j), (-198.45195007324219-115.90768432617188j), (-182.97744750976562-128.12318420410156j), (-167-180j), (-130.33688354492188-173.83778381347656j), (-141.19784545898438-190.28807067871094j), (-111.09677124023438-214.48896789550781j), (-70.039543151855469-242.41630554199219j), (-68.960540771484375-228.30015563964844j), (-53.049201965332031-291.47097778320312j), (-28.695289611816406-317.64553833007812j), (57-300j), (45.301143646240234-335.69509887695312j), (91.936195373535156-373.32437133789062j), (172.09465026855469-439.275146484375j), (242.24473571777344-504.47515869140625j), (387.81732177734375-666.6788330078125j), (689.48553466796875-918.2142333984375j), (1646.539306640625-1694.1956787109375j)) src_data = tuple([x/fft_size for x in tmp_data]) expected_result = tuple([complex(primes[2*i], primes[2*i+1]) for i in range(fft_size)]) src = gr.vector_source_c(src_data) s2v = gr.stream_to_vector(gr.sizeof_gr_complex, fft_size) op = fft.fft_vcc(fft_size, False, [], False) v2s = gr.vector_to_stream(gr.sizeof_gr_complex, fft_size) dst = gr.vector_sink_c() tb.connect(src, s2v, op, v2s, dst) tb.run() result_data = dst.data() #print 'expected:', expected_result #print 'results: ', result_data #self.assertComplexTuplesAlmostEqual (expected_result, result_data, 5) self.assert_fft_ok2(expected_result, result_data) def test_003(self): # Same test as above, only use 2 threads tb = gr.top_block() fft_size = 32 tmp_data = ((4377+4516j), (-1706.1268310546875+1638.4256591796875j), (-915.2083740234375+660.69427490234375j), (-660.370361328125+381.59600830078125j), (-499.96044921875+238.41630554199219j), (-462.26748657226562+152.88948059082031j), (-377.98440551757812+77.5928955078125j), (-346.85821533203125+47.152004241943359j), (-295+20j), (-286.33609008789062-22.257017135620117j), (-271.52999877929688-33.081821441650391j), (-224.6358642578125-67.019538879394531j), (-244.24473571777344-91.524826049804688j), (-203.09068298339844-108.54627227783203j), (-198.45195007324219-115.90768432617188j), (-182.97744750976562-128.12318420410156j), (-167-180j), (-130.33688354492188-173.83778381347656j), (-141.19784545898438-190.28807067871094j), (-111.09677124023438-214.48896789550781j), (-70.039543151855469-242.41630554199219j), (-68.960540771484375-228.30015563964844j), (-53.049201965332031-291.47097778320312j), (-28.695289611816406-317.64553833007812j), (57-300j), (45.301143646240234-335.69509887695312j), (91.936195373535156-373.32437133789062j), (172.09465026855469-439.275146484375j), (242.24473571777344-504.47515869140625j), (387.81732177734375-666.6788330078125j), (689.48553466796875-918.2142333984375j), (1646.539306640625-1694.1956787109375j)) src_data = tuple([x/fft_size for x in tmp_data]) expected_result = tuple([complex(primes[2*i], primes[2*i+1]) for i in range(fft_size)]) nthreads = 2 src = gr.vector_source_c(src_data) s2v = gr.stream_to_vector(gr.sizeof_gr_complex, fft_size) op = fft.fft_vcc(fft_size, False, [], False, nthreads) v2s = gr.vector_to_stream(gr.sizeof_gr_complex, fft_size) dst = gr.vector_sink_c() tb.connect(src, s2v, op, v2s, dst) tb.run() result_data = dst.data() self.assert_fft_ok2(expected_result, result_data) if __name__ == '__main__': gr_unittest.run(test_fft, "test_fft.xml")