5 from optparse import OptionParser
6 from gnuradio import gr
7 from gnuradio.eng_option import eng_option
9 def make_random_complex_tuple(L):
12 result.append(complex(random.uniform(-1000,1000),
13 random.uniform(-1000,1000)))
16 def benchmark(name, creator, dec, ntaps, total_test_size, block_size):
20 taps = make_random_complex_tuple(ntaps)
21 src = gr.vector_source_c(make_random_complex_tuple(block_size), True)
22 head = gr.head(gr.sizeof_gr_complex, int(total_test_size))
23 op = creator(dec, taps)
24 dst = gr.null_sink(gr.sizeof_gr_complex)
25 fg.connect(src, head, op, dst)
30 print "%16s: taps: %4d input: %4g, time: %6.3f taps/sec: %10.4g" % (
31 name, ntaps, total_test_size, delta, ntaps*total_test_size/delta)
34 parser = OptionParser(option_class=eng_option)
35 parser.add_option("-n", "--ntaps", type="int", default=256)
36 parser.add_option("-t", "--total-input-size", type="eng_float", default=40e6)
37 parser.add_option("-b", "--block-size", type="intx", default=50000)
38 parser.add_option("-d", "--decimation", type="int", default=1)
39 (options, args) = parser.parse_args()
45 total_input_size = options.total_input_size
46 block_size = options.block_size
47 dec = options.decimation
49 benchmark("gr.fir_filter_ccc", gr.fir_filter_ccc,
50 dec, ntaps, total_input_size, block_size)
51 benchmark("gr.fft_filter_ccc", gr.fft_filter_ccc,
52 dec, ntaps, total_input_size, block_size)
54 if __name__ == '__main__':