How to use create_network method in localstack

Best Python code snippet using localstack_python

build_model.py

Source:build_model.py

...150network_dict = {}151available_network = []152153154def create_network(name, num_layer, dim, layer_name, types, **kwargs):155    available_network.append(f"{name}")156    for i in range(8):157        network_dict.update({f"{name}_b{i}": lambda i=i: BuildModel(num_layer, dim, layer_name, types, i, **kwargs)})158159160create_network("efficientnet", [], 0, "DepthwiseConv1D", "resnet", efficientv1=True)161create_network("ej_efficientnet", [], 0, "DepthwiseConv1D", "resnet", efficientv1=True, ej=True)162163create_network("dense_efficientnet", [], 0, "DepthwiseConv1D", "densenet", efficientv1=True)164create_network("ej_dense_efficientnet", [], 0, "DepthwiseConv1D", "densenet", efficientv1=True, ej=True)165166create_network("lambda_efficientnet", [], 0, "lambdalayer", "resnet", efficientv1=True)167create_network("ej_lambda_efficientnet", [], 0, "lambdalayer", "resnet", efficientv1=True, ej=True)168169create_network("efficientnetv2", [], 0, "DepthwiseConv1D", "resnet", efficientv2=True)170create_network("ej_efficientnetv2", [], 0, "DepthwiseConv1D", "resnet", efficientv2=True, ej=True)171172create_network("resnet", [], 48, "Conv1D", "resnet")173create_network("ej_resnet", [], 48, "Conv1D", "resnet", ej=True)174create_network("se_resnet", [], 48, "Conv1D", "resnet", se=True)175create_network("ej_se_resnet", [], 48, "Conv1D", "resnet", se=True, ej=True)176177create_network("densenet", [], 48, "Conv1D", "densenet")178create_network("ej_densenet", [], 48, "Conv1D", "densenet", ej=True)179create_network("se_densenet", [], 48, "Conv1D", "densenet", se=True)180create_network("ej_se_densenet", [], 48, "Conv1D", "densenet", se=True, ej=True)181182create_network("lambda_resnet", [], 48, "LambdaLayer", "resnet")183create_network("ej_lambda_resnet", [], 48, "LambdaLayer", "resnet", ej=True)184create_network("se_lambda_resnet", [], 48, "LambdaLayer", "resnet", se=True)185create_network("ej_se_lambda_resnet", [], 48, "LambdaLayer", "resnet", se=True, ej=True)186187create_network("convnext", [], 48, "DepthwiseConv1D", "resnet", convnext=True)188create_network("ej_convnext", [], 48, "DepthwiseConv1D", "resnet", convnext=True, ej=True)189create_network("se_convnext", [], 48, "DepthwiseConv1D", "resnet", convnext=True, se=True)190create_network("ej_se_convnext", [], 48, "DepthwiseConv1D", "resnet", convnext=True, se=True, ej=True)191192create_network("lambda_convnext", [], 48, "LambdaLayer", "resnet", convnext=True)193create_network("ej_lambda_convnext", [], 48, "LambdaLayer", "resnet", convnext=True, ej=True)194create_network("se_lambda_convnext", [], 48, "LambdaLayer", "resnet", convnext=True, se=True)195create_network("ej_se_lambda_convnext", [], 48, "LambdaLayer", "resnet", convnext=True, se=True, ej=True)196197198def build_model(model_name: str, input_shape: tuple, output_size: int, output_activation=None, agent=None) -> Model:199    model = network_dict[model_name]()200    model = model.build_model(input_shape, output_size, output_activation, agent)201202    return model203204205available_network = np.array(available_network).reshape((-1,))206
...

network_test.py

Source:network_test.py

...4from .. import helpers5from ..base import requires_api_version6@requires_api_version('1.21')7class TestNetworks(helpers.BaseTestCase):8    def create_network(self, *args, **kwargs):9        net_name = u'dockerpy{}'.format(random.getrandbits(24))[:14]10        net_id = self.client.create_network(net_name, *args, **kwargs)['Id']11        self.tmp_networks.append(net_id)12        return (net_name, net_id)13    def test_list_networks(self):14        networks = self.client.networks()15        initial_size = len(networks)16        net_name, net_id = self.create_network()17        networks = self.client.networks()18        self.assertEqual(len(networks), initial_size + 1)19        self.assertTrue(net_id in [n['Id'] for n in networks])20        networks_by_name = self.client.networks(names=[net_name])21        self.assertEqual([n['Id'] for n in networks_by_name], [net_id])22        networks_by_partial_id = self.client.networks(ids=[net_id[:8]])23        self.assertEqual([n['Id'] for n in networks_by_partial_id], [net_id])24    def test_inspect_network(self):25        net_name, net_id = self.create_network()26        net = self.client.inspect_network(net_id)27        self.assertEqual(net, {28            u'Name': net_name,29            u'Id': net_id,30            u'Driver': 'bridge',31            u'Containers': {},32            u'IPAM': {u'Config': [{}], u'Driver': 'default'},33            u'Options': {},34            u'Scope': 'local'35        })36    def test_create_network_with_host_driver_fails(self):37        net_name = 'dockerpy{}'.format(random.getrandbits(24))[:14]38        with pytest.raises(docker.errors.APIError):39            self.client.create_network(net_name, driver='host')40    def test_remove_network(self):41        initial_size = len(self.client.networks())42        net_name, net_id = self.create_network()43        self.assertEqual(len(self.client.networks()), initial_size + 1)44        self.client.remove_network(net_id)45        self.assertEqual(len(self.client.networks()), initial_size)46    def test_connect_and_disconnect_container(self):47        net_name, net_id = self.create_network()48        container = self.client.create_container('busybox', 'top')49        self.tmp_containers.append(container)50        self.client.start(container)51        network_data = self.client.inspect_network(net_id)52        self.assertFalse(network_data.get('Containers'))53        self.client.connect_container_to_network(container, net_id)54        network_data = self.client.inspect_network(net_id)55        self.assertEqual(56            list(network_data['Containers'].keys()),57            [container['Id']])58        self.client.disconnect_container_from_network(container, net_id)59        network_data = self.client.inspect_network(net_id)60        self.assertFalse(network_data.get('Containers'))61    def test_connect_on_container_create(self):62        net_name, net_id = self.create_network()63        container = self.client.create_container(64            image='busybox',65            command='top',66            host_config=self.client.create_host_config(network_mode=net_name),67        )68        self.tmp_containers.append(container)69        self.client.start(container)70        network_data = self.client.inspect_network(net_id)71        self.assertEqual(72            list(network_data['Containers'].keys()),73            [container['Id']])74        self.client.disconnect_container_from_network(container, net_id)75        network_data = self.client.inspect_network(net_id)76        self.assertFalse(network_data.get('Containers'))

main.py

Source:main.py

...10    def __init__(self, message):11        self._message = message12    def __str__(self):13        return f'{type(self)}: {self._message}'14def create_network(node):15    if node['type'] == 'term':16        return InputGate()17    elif node['type'] == 'not':18        return NotGate(create_network(node['input']))19    elif node['type'] == 'and':20        return AndGate(create_network(n) for n in node['inputs'])21    elif node['type'] == 'or':22        return OrGate(create_network(n) for n in node['inputs'])23    else:24        raise ConfigError(f"Invalid node type \"{node['type']}\"")25parser = argparse.ArgumentParser(description='Evaluate a Boolean function.')26parser.add_argument('--config', '-c',27                    dest='config',28                    default='config.yaml',29                    help='Path of YAML file describing the function.')30args = parser.parse_args()31with open(args.config) as config_file:32    network = create_network(yaml.safe_load(config_file))33print(network)34template = network.template()35for row in csv.reader(stdin):36    try:37        value = network.value(bool(int(value.strip())) for value in row)38        print(template.format(*[int(s) for s in row]) + ' = ' + str(int(value)))39    except IndexError:...

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