Beispiel #1
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 def test_straightforward(self):
     x, y, z = floats("xyz")
     e = mul(add(x, y), true_div(x, y))
     C = Composite([x, y], [e])
     c = C.make_node(x, y)
     # print c.c_code(['x', 'y'], ['z'], dict(id = 0))
     g = FunctionGraph([x, y], [c.out])
     fn = DualLinker().accept(g).make_function()
     assert fn(1.0, 2.0) == 1.5
Beispiel #2
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 def test_with_constants(self):
     x, y, z = floats("xyz")
     e = mul(add(70.0, y), true_div(x, y))
     C = Composite([x, y], [e])
     c = C.make_node(x, y)
     assert "70.0" in c.op.c_code(c, "dummy", ["x", "y"], ["z"], dict(id=0))
     # print c.c_code(['x', 'y'], ['z'], dict(id = 0))
     g = FunctionGraph([x, y], [c.out])
     fn = DualLinker().accept(g).make_function()
     assert fn(1.0, 2.0) == 36.0
Beispiel #3
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 def test_many_outputs(self):
     x, y, z = floats("xyz")
     e0 = x + y + z
     e1 = x + y * z
     e2 = x / y
     C = Composite([x, y, z], [e0, e1, e2])
     c = C.make_node(x, y, z)
     # print c.c_code(['x', 'y', 'z'], ['out0', 'out1', 'out2'], dict(id = 0))
     g = FunctionGraph([x, y, z], c.outputs)
     fn = DualLinker().accept(g).make_function()
     assert fn(1.0, 2.0, 3.0) == [6.0, 7.0, 0.5]
Beispiel #4
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    def test_composite_printing(self):
        x, y, z = floats("xyz")
        e0 = x + y + z
        e1 = x + y * z
        e2 = x / y
        e3 = x // 5
        e4 = -x
        e5 = x - y
        e6 = x**y + (-z)
        e7 = x % 3
        C = Composite([x, y, z], [e0, e1, e2, e3, e4, e5, e6, e7])
        c = C.make_node(x, y, z)
        g = FunctionGraph([x, y, z], c.outputs)
        DualLinker().accept(g).make_function()

        assert str(g) == ("FunctionGraph(*1 -> Composite{((i0 + i1) + i2),"
                          " (i0 + (i1 * i2)), (i0 / i1), "
                          "(i0 // ScalarConstant{5}), "
                          "(-i0), (i0 - i1), ((i0 ** i1) + (-i2)),"
                          " (i0 % ScalarConstant{3})}(x, y, z), "
                          "*1::1, *1::2, *1::3, *1::4, *1::5, *1::6, *1::7)")