Python mdp.activate_extension函数代码示例

def testContextManager1():
    """Test that the context manager activates extensions."""

    class Test1ExtensionNode(mdp.ExtensionNode):
        extension_name = "__test1"
        def _testtest(self):
            pass
    class Test2ExtensionNode(mdp.ExtensionNode):
        extension_name = "__test2"
        def _testtest(self):
            pass

    assert mdp.get_active_extensions() == []
    with mdp.extension('__test1'):
        assert mdp.get_active_extensions() == ['__test1']
    assert mdp.get_active_extensions() == []
    # with multiple extensions
    with mdp.extension(['__test1', '__test2']):
        active = mdp.get_active_extensions()
        assert '__test1' in active
        assert '__test2' in active
    assert mdp.get_active_extensions() == []
    mdp.activate_extension("__test1")
    # Test that only activated extensions are deactiveted.
    with mdp.extension(['__test1', '__test2']):
        active = mdp.get_active_extensions()
        assert '__test1' in active
        assert '__test2' in active
    assert mdp.get_active_extensions() == ["__test1"]

def testExtensionInheritanceInjection():
    """Test the injection of inherited methods"""
    class TestNode(object):
        def _test1(self):
            return 0
    class TestExtensionNode(mdp.ExtensionNode):
        extension_name = "__test"
        def _test1(self):
            return 1
        def _test2(self):
            return 2
        def _test3(self):
            return 3
    class TestNodeExt(TestExtensionNode, TestNode):
        def _test2(self):
            return "2b"
    @mdp.extension_method("__test", TestNode)
    def _test4(self):
        return 4
    test_node = TestNode()
    mdp.activate_extension("__test")
    assert test_node._test1() == 1
    assert test_node._test2() == "2b"
    assert test_node._test3() == 3
    assert test_node._test4() == 4
    mdp.deactivate_extension("__test")
    assert test_node._test1() == 0
    assert not hasattr(test_node, "_test2")
    assert not hasattr(test_node, "_test3")
    assert not hasattr(test_node, "_test4")

 def test_sfa2_gradient2(self):
     def _alt_sfa2_grad(self, x):
         """Reference grad method based on quadratic forms."""
         # note that the H and f arrays are cached in the node and remain even
         # after the extension has been deactivated
         if not hasattr(self, "__gradient_Hs"):
             quad_forms = [self.get_quadratic_form(i)
                           for i in range(self.output_dim)]
             self.__gradient_Hs = numx.vstack((quad_form.H[numx.newaxis]
                                             for quad_form in quad_forms))
             self.__gradient_fs = numx.vstack((quad_form.f[numx.newaxis]
                                             for quad_form in quad_forms))
         grad = (numx.dot(x, self.__gradient_Hs) +
                     numx.repeat(self.__gradient_fs[numx.newaxis,:,:],
                               len(x), axis=0))
         return grad
     sfa2_node = bimdp.nodes.SFA2BiNode(output_dim=3)
     x = numx_rand.random((300, 6))
     sfa2_node.train(x)
     sfa2_node.stop_training()
     x = numx_rand.random((2, 6))
     mdp.activate_extension("gradient")
     try:
         result1 = sfa2_node.execute(x, {"method": "gradient"})
         grad1 = result1[1]["grad"]
         grad2 = _alt_sfa2_grad(sfa2_node, x)
         assert numx.amax(abs(grad1 - grad2)) < 1E-9
     finally:
         mdp.deactivate_extension("gradient")

 def test_quadexpan_gradient2(self):
     """Test gradient with multiple data points."""
     node = mdp.nodes.QuadraticExpansionNode()
     x = numx_rand.random((3,5))
     node.execute(x)
     mdp.activate_extension("gradient")
     try:
         result = node._gradient(x)
         gradient = result[1]["grad"]
         assert gradient.shape == (3,20,5)
     finally:
         mdp.deactivate_extension("gradient")

 def test_sfa2_gradient(self):
     sfa2_node1 = bimdp.nodes.SFA2BiNode(output_dim=5)
     sfa2_node2 = bimdp.nodes.SFA2BiNode(output_dim=3)
     flow = sfa2_node1 + sfa2_node2
     x = numx_rand.random((300, 6))
     flow.train(x)
     x = numx_rand.random((2, 6))
     mdp.activate_extension("gradient")
     try:
         flow.execute(x, {"method": "gradient"})
     finally:
         mdp.deactivate_extension("gradient")

def testExtensionInheritanceTwoExtensions():
    """Test non_extension injection for multiple extensions."""
    class Test1ExtensionNode(mdp.ExtensionNode):
        extension_name = "__test1"
        def _execute(self):
            return 1
    class Test2ExtensionNode(mdp.ExtensionNode):
        extension_name = "__test2"
    class Test3ExtensionNode(mdp.ExtensionNode):
        extension_name = "__test3"
        def _execute(self):
            return "3a"
    class TestNode1(mdp.Node):
        pass
    class TestNode2(TestNode1):
        pass
    class ExtendedTest1Node2(Test1ExtensionNode, TestNode2):
        pass
    class ExtendedTest2Node1(Test2ExtensionNode, TestNode1):
        def _execute(self):
            return 2
    class ExtendedTest3Node1(Test3ExtensionNode, TestNode1):
        def _execute(self):
            return "3b"
    test_node = TestNode2()
    mdp.activate_extension('__test2')
    assert test_node._execute() == 2
    mdp.deactivate_extension('__test2')
    # in this order TestNode2 should get execute from __test1,
    # the later addition by __test1 to TestNode1 doesn't matter
    mdp.activate_extensions(['__test1', '__test2'])
    assert test_node._execute() == 1
    mdp.deactivate_extensions(['__test2', '__test1'])
    # now activate in inverse order
    # TestNode2 already gets _execute from __test2, but that is still
    # overriden by __test1, thats how its registered in _extensions
    mdp.activate_extensions(['__test2', '__test1'])
    assert test_node._execute() == 1
    mdp.deactivate_extensions(['__test2', '__test1'])
    ## now the same with extension 3
    mdp.activate_extension('__test3')
    assert test_node._execute() == "3b"
    mdp.deactivate_extension('__test3')
    # __test3 does not override, since the _execute slot for Node2
    # was first filled by __test1
    mdp.activate_extensions(['__test3', '__test1'])
    assert test_node._execute() == 1
    mdp.deactivate_extensions(['__test3', '__test1'])
    # inverse order
    mdp.activate_extensions(['__test1', '__test3'])
    assert test_node._execute() == 1
    mdp.deactivate_extensions(['__test2', '__test1'])

 def test_switchboard_gradient1(self):
     """Test that gradient is correct for a tiny switchboard."""
     sboard = mdp.hinet.Switchboard(input_dim=4, connections=[2,0])
     x = numx_rand.random((2,4))
     mdp.activate_extension("gradient")
     try:
         result = sboard._gradient(x)
         grad = result[1]["grad"]
         ref_grad = numx.array([[[0,0,1,0], [1,0,0,0]],
                              [[0,0,1,0], [1,0,0,0]]], dtype=grad.dtype)
         assert numx.all(grad == ref_grad)
     finally:
         mdp.deactivate_extension("gradient")

 def test_sfa_gradient(self):
     """Test gradient for combination of SFA nodes."""
     sfa_node1 = bimdp.nodes.SFABiNode(output_dim=8)
     sfa_node2 = bimdp.nodes.SFABiNode(output_dim=7)
     sfa_node3 = bimdp.nodes.SFABiNode(output_dim=5)
     flow = sfa_node1 + sfa_node2 + sfa_node3
     x = numx_rand.random((300, 10))
     flow.train(x)
     x = numx_rand.random((2, 10))
     mdp.activate_extension("gradient")
     try:
         flow.execute(x, {"method": "gradient"})
     finally:
         mdp.deactivate_extension("gradient")

def testExtensionSetupTeardown():
    """Test defining setup and teardown functions."""
    setup_calls = []
    teardown_calls = []
    @mdp.extension_setup("__test")
    def dummy_setup():
        setup_calls.append(True)
    @mdp.extension_teardown("__test")
    def dummy_setup():
        teardown_calls.append(True)
    mdp.activate_extension("__test")
    assert len(setup_calls) == 1
    mdp.deactivate_extension("__test")
    assert len(teardown_calls) == 1

def testExtensionInheritance2():
    """Test inheritance of extension nodes, using super."""
    class TestExtensionNode(mdp.ExtensionNode):
        extension_name = "__test"
        def _testtest(self):
            pass
    class TestSFANode(TestExtensionNode, mdp.nodes.SFANode):
        def _testtest(self):
            return 42
    class TestSFA2Node(mdp.nodes.SFA2Node, TestSFANode):
        def _testtest(self):
            return super(mdp.nodes.SFA2Node, self)._testtest()
    sfa2_node = mdp.nodes.SFA2Node()
    mdp.activate_extension("__test")
    assert sfa2_node._testtest() == 42

 def test_clonebilayer_gradient(self):
     """Test gradient for a simple layer."""
     layer = bimdp.hinet.CloneBiLayer(
                         bimdp.nodes.SFA2BiNode(input_dim=5, output_dim=2),
                         n_nodes=3)
     x = numx_rand.random((100,15))
     layer.train(x)
     layer.stop_training()
     mdp.activate_extension("gradient")
     try:
         x = numx_rand.random((7,15))
         result = layer._gradient(x)
         grad = result[1]["grad"]
         assert grad.shape == (7,6,15)
     finally:
         mdp.deactivate_extension("gradient")

def testDecoratorExtension():
    """Test extension decorator with a single new extension."""
    @mdp.extension_method("__test", mdp.nodes.SFANode, "_testtest")
    def _sfa_testtest(self):
        return 42
    @mdp.extension_method("__test", mdp.nodes.SFA2Node)
    def _testtest(self):
        return 42 + _sfa_testtest(self)
    sfa_node = mdp.nodes.SFANode()
    sfa2_node = mdp.nodes.SFA2Node()
    mdp.activate_extension("__test")
    assert sfa_node._testtest() == 42
    assert sfa2_node._testtest() == 84
    mdp.deactivate_extension("__test")
    assert not hasattr(mdp.nodes.SFANode, "_testtest")
    assert not hasattr(mdp.nodes.SFA2Node, "_testtest")

def testDecoratorInheritance():
    """Test inhertiance with decorators for a single new extension."""
    class TestExtensionNode(mdp.ExtensionNode):
        extension_name = "__test"
        def _testtest(self):
            pass
    @mdp.extension_method("__test", mdp.nodes.SFANode, "_testtest")
    def _sfa_testtest(self):
        return 42
    @mdp.extension_method("__test", mdp.nodes.SFA2Node)
    def _testtest(self):
        return 42 + super(mdp.nodes.SFA2Node, self)._testtest()
    sfa_node = mdp.nodes.SFANode()
    sfa2_node = mdp.nodes.SFA2Node()
    mdp.activate_extension("__test")
    assert sfa_node._testtest() == 42
    assert sfa2_node._testtest() == 84

def testSimpleExtension():
    """Test for a single new extension."""
    class TestExtensionNode(mdp.ExtensionNode):
        extension_name = "__test"
        def _testtest(self):
            pass
        _testtest_attr = 1337
    class TestSFANode(TestExtensionNode, mdp.nodes.SFANode):
        def _testtest(self):
            return 42
        _testtest_attr = 1338
    sfa_node = mdp.nodes.SFANode()
    mdp.activate_extension("__test")
    assert sfa_node._testtest() == 42
    assert sfa_node._testtest_attr == 1338
    mdp.deactivate_extension("__test")
    assert not hasattr(mdp.nodes.SFANode, "_testtest")

def testExtensionInheritanceInjectionNonExtension():
    """Test non_extension method injection."""
    class TestExtensionNode(mdp.ExtensionNode):
        extension_name = "__test"
        def _execute(self):
            return 0
    class TestNode(mdp.Node):
        # no _execute method
        pass
    class ExtendedTestNode(TestExtensionNode, TestNode):
        pass
    test_node = TestNode()
    mdp.activate_extension('__test')
    assert hasattr(test_node, "_non_extension__execute")
    mdp.deactivate_extension('__test')
    assert not hasattr(test_node, "_non_extension__execute")
    assert not hasattr(test_node, "_extension_for__execute")
    # test that the non-native _execute has been completely removed
    assert "_execute" not in test_node.__class__.__dict__