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How to use test_function_state method in localstack

Best Python code snippet using localstack_python

policy_test.py

Source:policy_test.py

...95        print(a)96        self.assertTrue(boxspace.contains(a))97        self.assertArrayShape(a, (3, 5))98        self.assertArraySubdtypeFloat(a)99    def test_function_state(self):100        env = Env(boxspace, discrete)101        pi = Policy(func_discrete, env, random_seed=19)102        print(pi.function_state)103        batch_norm_avg = pi.function_state['batch_norm/~/mean_ema']['average']104        self.assertArrayShape(batch_norm_avg, (1, 8))105        self.assertArrayNotEqual(batch_norm_avg, jnp.zeros_like(batch_norm_avg))106    def test_bad_input_signature(self):107        def badfunc(S, is_training, x):108            pass109        msg = (110            r"func has bad signature; "111            r"expected: func\(S, is_training\), got: func\(S, is_training, x\)"112        )113        with self.assertRaisesRegex(TypeError, msg):...

stochastic_v_test.py

Source:stochastic_v_test.py

...65        v = StochasticV(func, env, value_range, num_bins=num_bins, random_seed=19)66        v_ = v.mode(s)67        print(v_, env.observation_space)68        self.assertIn(v_, Box(*value_range, shape=()))69    def test_function_state(self):70        env = Env(discrete, discrete)71        value_range = (-10, 10)72        v = StochasticV(func, env, value_range, num_bins=num_bins, random_seed=19)73        print(v.function_state)74        batch_norm_avg = v.function_state['batch_norm/~/mean_ema']['average']75        self.assertArrayShape(batch_norm_avg, (1, 8))76        self.assertArrayNotEqual(batch_norm_avg, jnp.zeros_like(batch_norm_avg))77    # other tests ##################################################################################78    def test_bad_input_signature(self):79        def badfunc(S, is_training, x):80            pass81        msg = (82            r"func has bad signature; "83            r"expected: func\(S, is_training\), "...

v_test.py

Source:v_test.py

...41        v_targ.params = jax.tree_map(jnp.zeros_like, v.params)42        expected = jax.tree_map(lambda a: jnp.full_like(a, tau), v.params)43        v_targ.soft_update(v, tau=tau)44        self.assertPytreeAlmostEqual(v_targ.params, expected)45    def test_function_state(self):46        print(self.v.function_state)47        batch_norm_avg = self.v.function_state['batch_norm/~/mean_ema']['average']48        self.assertArrayShape(batch_norm_avg, (1, 8))49        self.assertArrayNotEqual(batch_norm_avg, jnp.zeros_like(batch_norm_avg))50    def test_bad_input_signature(self):51        def badfunc(S, is_training, x):52            pass53        msg = (54            r"func has bad signature; "55            r"expected: func\(S, is_training\), got: func\(S, is_training, x\)")56        with self.assertRaisesRegex(TypeError, msg):57            V(badfunc, self.env_discrete, random_seed=13)58    def test_bad_output_type(self):59        def badfunc(S, is_training):...

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