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How to use init_actions method in toolium

Best Python code snippet using toolium_python

test_fictplay.py

Source:test_fictplay.py

...16        # symmetric 2x2 coordination game17        payoff_matrix = [[4, 0],18                         [3, 2]]19        self.fp = FictitiousPlay(payoff_matrix)20    def test_set_init_actions_with_given_init_actions(self):21        init_actions = (0, 1)22        self.fp.set_init_actions(init_actions)23        assert_array_equal(self.fp.current_actions, init_actions)24        for i, current_belief in enumerate(self.fp.current_beliefs):25            ok_(current_belief[init_actions[1-i]] == 1 and26                current_belief.sum() == 1)27    def test_set_init_actions_when_init_action_dist_None(self):28        self.fp.set_init_actions()  # Action dist randomly chosen29        init_actions = self.fp.current_actions30        for i, current_belief in enumerate(self.fp.current_beliefs):31            ok_(current_belief[init_actions[1-i]] == 1 and32                current_belief.sum() == 1)33    def test_play(self):34        init_actions = (0, 1)35        best_responses = (1, 0)36        self.fp.set_init_actions(init_actions)37        self.fp.play()38        assert_array_equal(self.fp.current_actions, best_responses)39    def test_simulate_rest_point(self):40        beliefs_sequence = \41            self.fp.simulate(ts_length=3, init_actions=(0, 0))42        assert_array_equal(43            beliefs_sequence[0],44            [[1, 0],45             [1, 0],46             [1, 0]]47            )48    def test_simulate(self):49        beliefs_sequence = \50            self.fp.simulate(ts_length=3, init_actions=(0, 1))51        # played actions: (0, 1), (1, 0), (0, 1)52        assert_array_almost_equal_nulp(53            beliefs_sequence[0],54            [[0, 1],55             [1/2, 1/2],56             [1/3, 2/3]]57            )58class TestFictitiousPlay_bimatrix:59    '''Test the methods of FictitiousPlay with bimatrix'''60    def setUp(self):61        '''Setup a FictitiousPlay instance'''62        payoff_bimatrix = np.zeros((2, 3, 2))  # 2 x 3 game63        g = NormalFormGame(payoff_bimatrix)64        self.fp = FictitiousPlay(g)65    def test_set_init_actions_with_given_init_actions(self):66        init_actions = (0, 2)67        self.fp.set_init_actions(init_actions)68        assert_array_equal(self.fp.current_actions, init_actions)69        for i, current_belief in enumerate(self.fp.current_beliefs):70            ok_(current_belief[init_actions[1-i]] == 1 and71                current_belief.sum() == 1)72    def test_set_init_actions_when_init_action_dist_None(self):73        self.fp.set_init_actions()  # Action dist randomly chosen74        init_actions = self.fp.current_actions75        for i, current_belief in enumerate(self.fp.current_beliefs):76            ok_(current_belief[init_actions[1-i]] == 1 and77                current_belief.sum() == 1)78# Invalid inputs #79@raises(ValueError)80def test_fp_invalid_input():81    fp = FictitiousPlay(np.zeros((2, 3, 4, 3)))  # three-player game82if __name__ == '__main__':83    import sys84    import nose85    argv = sys.argv[:]86    argv.append('--verbose')87    argv.append('--nocapture')...

logitdyn.py

Source:logitdyn.py

...36            # cdfs left unnormalized37            player.logit_choice_cdfs = \38                np.exp(payoff_array_rotated*self.beta).cumsum(axis=-1)39            # player.logit_choice_cdfs /= player.logit_choice_cdfs[..., [-1]]40    def set_init_actions(self, init_actions=None):41        if init_actions is None:42            init_actions = np.empty(self.N, dtype=int)43            for i in range(self.N):44                init_actions[i] = np.random.randint(self.nums_actions[i])45        self.current_actions[:] = init_actions46    def play(self, player_ind):47        i = player_ind48        # Tuple of the actions of opponent players i+1, ..., N, 0, ..., i-149        opponent_actions = \50            tuple(self.current_actions[i+1:]) + tuple(self.current_actions[:i])51        cdf = self.players[i].logit_choice_cdfs[opponent_actions]52        random_value = np.random.random()53        next_action = cdf.searchsorted(random_value*cdf[-1], side='right')54        self.current_actions[i] = next_action55    def simulate(self, ts_length, init_actions=None):56        """57        Return array of ts_length arrays of N actions58        """59        actions_sequence = np.empty((ts_length, self.N), dtype=int)60        actions_sequence_iter = \61            self.simulate_iter(ts_length, init_actions=init_actions)62        for t, actions in enumerate(actions_sequence_iter):63            actions_sequence[t] = actions64        return actions_sequence65    def simulate_iter(self, ts_length, init_actions=None):66        """67        Iterator version of `simulate`68        """69        self.set_init_actions(init_actions=init_actions)70        player_ind_sequence = np.random.randint(self.N, size=ts_length)71        for t in range(ts_length):72            yield self.current_actions73            self.play(player_ind=player_ind_sequence[t])74    def replicate(self, T, num_reps, init_actions=None):75        out = np.empty((num_reps, self.N), dtype=int)76        for j in range(num_reps):77            actions_sequence_iter = \78                self.simulate_iter(T+1, init_actions=init_actions)79            for actions in actions_sequence_iter:80                x = actions81            out[j] = x...

test_hbase.py

Source:test_hbase.py

1import pkg_resources2from absl.testing import absltest3from absl.testing import parameterized4from integration_tests.dataproc_test_case import DataprocTestCase5class HBaseTestCase(DataprocTestCase):6    COMPONENT = 'hbase'7    INIT_ACTIONS = ['hbase/hbase.sh']8    INIT_ACTIONS_FOR_NOT_HA = ['zookeeper/zookeeper.sh']9    GCS_BUCKET = None10    def setUp(self):11        super().setUp()12        self.GCS_BUCKET = "test-hbase-{}-{}".format(self.datetime_str(),13                                                    self.random_str())14        self.assert_command('gsutil mb -c regional -l {} gs://{}'.format(15            self.REGION, self.GCS_BUCKET))16    def tearDown(self):17        self.assert_command('gsutil -m rm -rf gs://{}'.format(self.GCS_BUCKET))18        super().tearDown()19    def verify_instance(self, name):20        self.assert_instance_command(21            name, "hbase {} -r {}".format(22                'org.apache.hadoop.hbase.IntegrationTestsDriver',23                'org.apache.hadoop.hbase.mapreduce.IntegrationTestImportTsv'))24    @parameterized.parameters(25        ("SINGLE", ["m"]),26        ("STANDARD", ["m"]),27        ("HA", ["m-0"]),28    )29    def test_hbase(self, configuration, machine_suffixes):30        # Skip on 2.0+ version of Dataproc because it's not supported31        if self.getImageVersion() >= pkg_resources.parse_version("2.0"):32            return33        init_actions = self.INIT_ACTIONS34        if configuration != "HA":35            init_actions = self.INIT_ACTIONS_FOR_NOT_HA + init_actions36        self.createCluster(configuration, init_actions)37        for machine_suffix in machine_suffixes:38            self.verify_instance("{}-{}".format(self.getClusterName(),39                                                machine_suffix))40    @parameterized.parameters(41        ("SINGLE", ["m"]),42        ("STANDARD", ["m"]),43        ("HA", ["m-0"]),44    )45    def test_hbase_on_gcs(self, configuration, machine_suffixes):46        # Skip on 2.0+ version of Dataproc because it's not supported47        if self.getImageVersion() >= pkg_resources.parse_version("2.0"):48            return49        init_actions = self.INIT_ACTIONS50        if configuration != "HA":51            init_actions = self.INIT_ACTIONS_FOR_NOT_HA + init_actions52        metadata = 'hbase-root-dir=gs://{}/test-dir'.format(self.GCS_BUCKET)53        if self.getImageVersion() > pkg_resources.parse_version("1.4"):54            self.initClusterName(configuration)55            hdfs_host = self.getClusterName()56            if configuration != "HA":57                hdfs_host += '-m'58            metadata += ',hbase-wal-dir=hdfs://{}/hbase-wal'.format(hdfs_host)59        self.createCluster(60            configuration,61            init_actions,62            metadata=metadata)63        for machine_suffix in machine_suffixes:64            self.verify_instance("{}-{}".format(self.getClusterName(),65                                                machine_suffix))66if __name__ == '__main__':...

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