cd50ec1c075fed30b19771879b818ba14ecfb816,test/test_saving.py,TestSaving,test_modules,#TestSaving#,33

Before Change


        self.start_tests(name="modules")

        // Remove directory if exists
        if os.path.exists(path=self.__class__.directory):
            for filename in os.listdir(path=self.__class__.directory):
                os.remove(path=os.path.join(self.__class__.directory, filename))
            os.rmdir(path=self.__class__.directory)

        agent, environment = self.prepare(config=dict(eager_mode=False))
        states = environment.reset()
        actions = agent.act(states=states)
        states, terminal, reward = environment.execute(actions=actions)

After Change


    def test_modules(self):
        self.start_tests(name="modules")

        with TemporaryDirectory() as directory:
            agent, environment = self.prepare(config=dict(eager_mode=False))
            states = environment.reset()
            actions = agent.act(states=states)
            states, terminal, reward = environment.execute(actions=actions)
            agent.observe(terminal=terminal, reward=reward)
            weights0 = agent.model.policy.network.layers[1].weights.numpy()
            // TODO: implement proper Agent name-module iteration
            for module in agent.model.this_submodules:
                // (Model excluded, other submodules recursively included)
                path = module.save(directory=directory)
                assert path == os.path.join(directory, module.name)
            agent.close()
            environment.close()

            agent, environment = self.prepare(config=dict(eager_mode=False))
            states = environment.reset()
            actions = agent.act(states=states)
            states, terminal, reward = environment.execute(actions=actions)
            agent.observe(terminal=terminal, reward=reward)
            for module in agent.model.this_submodules:
                module.restore(directory=directory)
            x = agent.model.policy.network.layers[1].weights.numpy()
            self.assertTrue((x == weights0).all())
            actions = agent.act(states=states)
            states, terminal, reward = environment.execute(actions=actions)
            agent.observe(terminal=terminal, reward=reward)

            files = set(os.listdir(path=directory))
            self.assertTrue(len(files), 2 * len(agent.model.this_submodules))
            for module in agent.model.this_submodules:
                self.assertTrue(module.name + ".index" in files)
                self.assertTrue(module.name + ".data-00000-of-00001" in files)

        agent.close()
        environment.close()

        self.finished_test()
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 7

Instances


Project Name: reinforceio/tensorforce
Commit Name: cd50ec1c075fed30b19771879b818ba14ecfb816
Time: 2020-07-05
Author: alexkuhnle@t-online.de
File Name: test/test_saving.py
Class Name: TestSaving
Method Name: test_modules


Project Name: reinforceio/tensorforce
Commit Name: cd50ec1c075fed30b19771879b818ba14ecfb816
Time: 2020-07-05
Author: alexkuhnle@t-online.de
File Name: test/test_features.py
Class Name: TestFeatures
Method Name: test_pretrain


Project Name: senarvi/theanolm
Commit Name: bcf723a2f67a372e6b03a453149a82ecf2766fff
Time: 2015-12-24
Author: seppo.git@marjaniemi.com
File Name: theanolm/commands/train.py
Class Name:
Method Name: train