def xtest_fff_004(self):
random.seed(0)
for i in xrange(25):
sys.stderr.write("\n>>> Loop = %d\n" % (i, ))
src_len = 4096
src_data = make_random_float_tuple(src_len)
ntaps = int(random.uniform(2, 1000))
taps = make_random_float_tuple(ntaps)
expected_result = reference_filter_fff(1, taps, src_data)
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(1, taps)
dst = gr.vector_sink_f()
tb = gr.top_block()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
#print "src_len =", src_len, " ntaps =", ntaps
try:
self.assert_fft_float_ok2(expected_result,
result_data,
abs_eps=1.0)
except:
expected = open('expected', 'w')
for x in expected_result:
expected.write( ` x ` + '\n')
actual = open('actual', 'w')
for x in result_data:
actual.write( ` x ` + '\n')
raise
def xtest_fff_004(self):
random.seed(0)
for i in xrange(25):
sys.stderr.write("\n>>> Loop = %d\n" % (i,))
src_len = 4096
src_data = make_random_float_tuple(src_len)
ntaps = int(random.uniform(2, 1000))
taps = make_random_float_tuple(ntaps)
expected_result = reference_filter_fff(1, taps, src_data)
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(1, taps)
dst = gr.vector_sink_f()
tb = gr.top_block()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
#print "src_len =", src_len, " ntaps =", ntaps
try:
self.assert_fft_float_ok2(expected_result, result_data, abs_eps=1.0)
except:
expected = open('expected', 'w')
for x in expected_result:
expected.write(`x` + '\n')
actual = open('actual', 'w')
for x in result_data:
actual.write(`x` + '\n')
raise
def test_fff_get0(self):
random.seed(0)
for i in xrange(25):
ntaps = int(random.uniform(2, 100))
taps = make_random_float_tuple(ntaps)
op = filter.fft_filter_fff(1, taps)
result_data = op.taps()
#print result_data
self.assertEqual(taps, result_data)
def test_fff_get0(self):
random.seed(0)
for i in xrange(25):
ntaps = int(random.uniform(2, 100))
taps = make_random_float_tuple(ntaps)
op = filter.fft_filter_fff(1, taps)
result_data = op.taps()
#print result_data
self.assertEqual(taps, result_data)
def test_fff_001(self):
tb = gr.top_block()
src_data = (0, 1, 2, 3, 4, 5, 6, 7)
taps = (1, )
expected_result = tuple([float(x) for x in (0, 1, 2, 3, 4, 5, 6, 7)])
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(1, taps)
dst = gr.vector_sink_f()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
#print 'expected:', expected_result
#print 'results: ', result_data
self.assertFloatTuplesAlmostEqual(expected_result, result_data, 5)
def test_fff_003(self):
# Test 02 with nthreads
tb = gr.top_block()
src_data = (0,1,2,3,4,5,6,7)
taps = (2,)
nthreads = 2
expected_result = tuple([2 * float(x) for x in (0,1,2,3,4,5,6,7)])
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(1, taps, nthreads)
dst = gr.vector_sink_f()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual (expected_result, result_data, 5)
def test_fff_002(self):
tb = gr.top_block()
src_data = (0,1,2,3,4,5,6,7)
taps = (2,)
expected_result = tuple([2 * float(x) for x in (0,1,2,3,4,5,6,7)])
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(1, taps)
dst = gr.vector_sink_f()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
#print 'expected:', expected_result
#print 'results: ', result_data
self.assertFloatTuplesAlmostEqual (expected_result, result_data, 5)
def test_fff_003(self):
# Test 02 with nthreads
tb = gr.top_block()
src_data = (0, 1, 2, 3, 4, 5, 6, 7)
taps = (2, )
nthreads = 2
expected_result = tuple(
[2 * float(x) for x in (0, 1, 2, 3, 4, 5, 6, 7)])
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(1, taps, nthreads)
dst = gr.vector_sink_f()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_result, result_data, 5)
def xtest_fff_005(self):
random.seed(0)
for i in xrange(25):
sys.stderr.write("\n>>> Loop = %d\n" % (i,))
src_len = 4*1024
src_data = make_random_float_tuple(src_len)
ntaps = int(random.uniform(2, 1000))
taps = make_random_float_tuple(ntaps)
expected_result = reference_filter_fff(1, taps, src_data)
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(1, taps)
dst = gr.vector_sink_f()
tb = gr.top_block()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
self.assert_fft_float_ok2(expected_result, result_data, abs_eps=2.0)
def xtest_fff_006(self):
random.seed(0)
for i in xrange(25):
sys.stderr.write("\n>>> Loop = %d\n" % (i, ))
dec = i + 1
src_len = 4 * 1024
src_data = make_random_float_tuple(src_len)
ntaps = int(random.uniform(2, 100))
taps = make_random_float_tuple(ntaps)
expected_result = reference_filter_fff(dec, taps, src_data)
src = gr.vector_source_f(src_data)
op = filter.fft_filter_fff(dec, taps)
dst = gr.vector_sink_f()
tb = gr.top_block()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
self.assert_fft_float_ok2(expected_result, result_data)
def xtest_fff_007(self):
# test decimation with nthreads
random.seed(0)
nthreads = 2
for i in xrange(25):
sys.stderr.write("\n>>> Loop = %d\n" % (i,))
dec = i + 1
src_len = 4*1024
src_data = make_random_float_tuple(src_len)
ntaps = int(random.uniform(2, 100))
taps = make_random_float_tuple(ntaps)
expected_result = reference_filter_fff(dec, taps, src_data)
src = blocks.vector_source_f(src_data)
op = filter.fft_filter_fff(dec, taps, nthreads)
dst = blocks.vector_sink_f()
tb = gr.top_block()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
self.assert_fft_float_ok2(expected_result, result_data)
