def setUp (self): self.tb = gr.top_block () self.vlen = 80 self.group_items = 1 data = lte_test.interleave(range(self.vlen)) self.src = blocks.vector_source_f(data, False, self.vlen) self.subdeint = lte.subblock_deinterleaver_vfvf(self.vlen, self.group_items) self.snk = blocks.vector_sink_f(self.vlen) self.tb.connect(self.src, self.subdeint, self.snk)
def setUp(self): self.tb = gr.top_block() self.vlen = 80 self.group_items = 1 data = lte_test.interleave(range(self.vlen)) self.src = blocks.vector_source_f(data, False, self.vlen) self.subdeint = lte.subblock_deinterleaver_vfvf( self.vlen, self.group_items) self.snk = blocks.vector_sink_f(self.vlen) self.tb.connect(self.src, self.subdeint, self.snk)
def test_002_t(self): self.tb2 = gr.top_block() N_rb_dl = 50 phich_dur = 0 phich_res = 1.0 N_ant = 2 data = [] test_len = 100 my_res = [] for i in range(test_len): mib = lte_test.pack_mib(N_rb_dl, phich_dur, phich_res, i) crc = lte_test.crc_checksum(mib, N_ant) conv = lte_test.convolutional_encoder_sorted(crc) convit = lte_test.convolutional_encoder(crc) my_res.extend(lte_test.nrz_encoding(convit) ) rated = lte_test.rate_match(conv) nrz = lte_test.nrz_encoding(rated) data.extend(nrz) srcf = blocks.vector_source_f(data, False, 120) snkf = blocks.file_sink(gr.sizeof_float*120, "/home/johannes/tests/rated.dat") self.tb2.connect(srcf, snkf) src1 = blocks.vector_source_f(data, False, 120) vts0 = blocks.vector_to_stream(40*gr.sizeof_float, 3) sts0 = blocks.stream_to_streams(40*gr.sizeof_float, 3) self.tb2.connect(src1, vts0, sts0) inter = blocks.interleave(gr.sizeof_float) for i in range(3): deint = lte.subblock_deinterleaver_vfvf(40, 1) vts1 = blocks.vector_to_stream(1*gr.sizeof_float, 40) self.tb2.connect( (sts0, i), deint, vts1, (inter, i)) stv = blocks.stream_to_vector(1*gr.sizeof_float, 120) snk = blocks.vector_sink_f(120) self.tb2.connect(inter, stv, snk) self.tb2.run() res = snk.data() print res[110:130] self.assertFloatTuplesAlmostEqual(tuple(my_res), res)
def test_002_t(self): self.tb2 = gr.top_block() N_rb_dl = 50 phich_dur = 0 phich_res = 1.0 N_ant = 2 data = [] test_len = 100 my_res = [] for i in range(test_len): mib = lte_test.pack_mib(N_rb_dl, phich_dur, phich_res, i) crc = lte_test.crc_checksum(mib, N_ant) conv = lte_test.convolutional_encoder_sorted(crc) convit = lte_test.convolutional_encoder(crc) my_res.extend(lte_test.nrz_encoding(convit)) rated = lte_test.rate_match(conv) nrz = lte_test.nrz_encoding(rated) data.extend(nrz) srcf = blocks.vector_source_f(data, False, 120) snkf = blocks.file_sink(gr.sizeof_float * 120, "/home/johannes/tests/rated.dat") self.tb2.connect(srcf, snkf) src1 = blocks.vector_source_f(data, False, 120) vts0 = blocks.vector_to_stream(40 * gr.sizeof_float, 3) sts0 = blocks.stream_to_streams(40 * gr.sizeof_float, 3) self.tb2.connect(src1, vts0, sts0) inter = blocks.interleave(gr.sizeof_float) for i in range(3): deint = lte.subblock_deinterleaver_vfvf(40, 1) vts1 = blocks.vector_to_stream(1 * gr.sizeof_float, 40) self.tb2.connect((sts0, i), deint, vts1, (inter, i)) stv = blocks.stream_to_vector(1 * gr.sizeof_float, 120) snk = blocks.vector_sink_f(120) self.tb2.connect(inter, stv, snk) self.tb2.run() res = snk.data() print res[110:130] self.assertFloatTuplesAlmostEqual(tuple(my_res), res)