Esempio n. 1
0
    def test_stretch_01(self):
        tb = self.tb

        data = 10*[1,]
        data0 = map(lambda x: x/20.0, data)
        data1 = map(lambda x: x/10.0, data)

        expected_result0 = 10*[0.05,]
        expected_result1 = 10*[0.1,]

        src0 = blocks.vector_source_f(data0, False)
        src1 = blocks.vector_source_f(data1, False)
        inter = blocks.streams_to_vector(gr.sizeof_float, 2)
        op = blocks.stretch_ff(0.1, 2)
        deinter = blocks.vector_to_streams(gr.sizeof_float, 2)
        dst0 = blocks.vector_sink_f()
        dst1 = blocks.vector_sink_f()
        
        tb.connect(src0, (inter,0))
        tb.connect(src1, (inter,1))
        tb.connect(inter, op)
        tb.connect(op, deinter)
        tb.connect((deinter,0), dst0)
        tb.connect((deinter,1), dst1)
        tb.run()

        dst0_data = dst0.data()
        dst1_data = dst1.data()

        self.assertFloatTuplesAlmostEqual(expected_result0, dst0_data, 4)
        self.assertFloatTuplesAlmostEqual(expected_result1, dst1_data, 4)
Esempio n. 2
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    def test_002_(self):
        src_data = numpy.array(
            [-1.0, -1.0 / 2.0, -1.0 / 3.0, -1.0 / 4.0, -1.0 / 5.0])
        trg_data = copy.deepcopy(src_data)

        src = blocks.vector_source_f(src_data, False, len(src_data))
        st = blocks.stretch_ff(-1.0 / 5.0, len(src_data))
        dst = blocks.vector_sink_f(len(src_data))
        self.tb.connect(src, st)
        self.tb.connect(st, dst)
        self.tb.run()
        rsl_data = dst.data()
        sum = 0
        for (u, v) in zip(trg_data, rsl_data):
            w = u - v
            sum += w * w
        sum /= float(len(trg_data))
        assert sum < 1e-6
Esempio n. 3
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    def test_002_(self):
        src_data = numpy.array([-1.0,
                                -1.0/2.0,
                                -1.0/3.0,
                                -1.0/4.0,
                                -1.0/5.0])
        trg_data = copy.deepcopy(src_data)

        src = blocks.vector_source_f(src_data, False, len(src_data))
        st = blocks.stretch_ff(-1.0/5.0, len(src_data))
        dst = blocks.vector_sink_f(len(src_data))
        self.tb.connect(src, st)
        self.tb.connect(st, dst)
        self.tb.run()
        rsl_data = dst.data()
        sum = 0
        for (u, v) in zip(trg_data, rsl_data):
            w = u - v
            sum += w * w
        sum /= float(len(trg_data))
        assert sum < 1e-6
Esempio n. 4
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    def test_stretch_01(self):
        tb = self.tb

        data = 10 * [
            1,
        ]
        data0 = map(lambda x: x / 20.0, data)
        data1 = map(lambda x: x / 10.0, data)

        expected_result0 = 10 * [
            0.05,
        ]
        expected_result1 = 10 * [
            0.1,
        ]

        src0 = blocks.vector_source_f(data0, False)
        src1 = blocks.vector_source_f(data1, False)
        inter = blocks.streams_to_vector(gr.sizeof_float, 2)
        op = blocks.stretch_ff(0.1, 2)
        deinter = blocks.vector_to_streams(gr.sizeof_float, 2)
        dst0 = blocks.vector_sink_f()
        dst1 = blocks.vector_sink_f()

        tb.connect(src0, (inter, 0))
        tb.connect(src1, (inter, 1))
        tb.connect(inter, op)
        tb.connect(op, deinter)
        tb.connect((deinter, 0), dst0)
        tb.connect((deinter, 1), dst1)
        tb.run()

        dst0_data = dst0.data()
        dst1_data = dst1.data()

        self.assertFloatTuplesAlmostEqual(expected_result0, dst0_data, 4)
        self.assertFloatTuplesAlmostEqual(expected_result1, dst1_data, 4)