How to use modify_cluster method in localstack

Best Python code snippet using localstack_python

Provider.py

Source:Provider.py

...138                                  name=args['CLUSTER_ID'],139                                  status="Deleting")140    @DatabaseUpdate()141    def resize_cluster_node_count(self, args):142        results = self.client.modify_cluster(143            ClusterIdentifier=args['CLUSTER_ID'],144            ClusterType=args['type'],145            NumberOfNodes=int(args['nodes']),146        )147        return self.update_status(results=results,148                                  name=args['CLUSTER_ID'],149                                  status="resizing")150    @DatabaseUpdate()151    def resize_cluster_to_multi_node(self, args):152        results = self.client.modify_cluster(153            ClusterIdentifier=args['CLUSTER_ID'],154            ClusterType=args['type'],155            NumberOfNodes=int(args['nodes']),156            NodeType=args['nodetype']157        )158        return self.update_status(results=results,159                                  name=args['CLUSTER_ID'],160                                  status="Changing node count")161    @DatabaseUpdate()162    def resize_cluster_node_types(self, args):163        results = self.client.modify_cluster(164            ClusterIdentifier=args['CLUSTER_ID'],165            NodeType=args['nodetype'],166            NumberOfNodes=int(args['nodes'])167        )168        return self.update_status(results=results,169                                  name=args['CLUSTER_ID'],170                                  status="Changing node types")171    @DatabaseUpdate()172    def modify_cluster(self, args):173        VERBOSE("in modify")174        results = self.client.modify_cluster(175            ClusterIdentifier=args['CLUSTER_ID'],176            MasterUserPassword=args['newpass']177        )178        return self.update_status(results=results,179                                  name=args['CLUSTER_ID'],180                                  status="Modifying password")181    @DatabaseUpdate()182    def rename_cluster(self, args):183        VERBOSE("in rename")184        results = self.client.modify_cluster(185            ClusterIdentifier=args['CLUSTER_ID'],186            NewClusterIdentifier=args['newid'],187        )188        return self.update_status(results=results,189                                  name=args['CLUSTER_ID'],190                                  status="Renaming")191        # {'describe': False, 'CLUSTER_ID': 'cl13',192        #  'create': False, 'DB_NAME': None, 'USER_NAME': None, 'PASSWD': None, '--nodetype': 'dc1.large',193        #  '--type': 'single-node', '--nodes': '1',194        #  'resize': False, 'modify': True, '--newid': 'cl14', '--newpass': None,195        #  'delete': False,196        #  'type': 'single-node', 'nodetype': 'dc1.large', 'nodes': '1', 'newid': 'cl14', 'newpass': None}197        #198    #...

main.py

Source:main.py

...52                train_fl_out[ts][s] = sum(train_fl[ts][s])53                for z in range(zone):54                    train_fl_in[ts][s] += train_fl[ts][z][s]55        # Modify cluster based on demand flows56        assignment = modify_cluster(cluster, assignment, centre, zone, cp, ds, mindis, trainsample, train_fl)57        print("Clusters generated.")58        # Initialize global intra-cluster rebalancing result59        yp_total = [0.0 for s in range(zone)]60        yn_total = [0.0 for s in range(zone)]61        bn = [[0 for s in range(zone)] for v in range(vec)]62        # Intra-cluster rebalancing63        for c in range(cluster):64            # Extract local data65            local_list = [s for s in range(zone) if assignment[s] == c]66            local_zone = len(local_list)67            local_cp = [cp[s] for s in local_list]68            local_ds = [ds[s] for s in local_list]69            local_vec_list = []70            local_vec = 0...

modify_cluster.py

Source:modify_cluster.py

1def modify_cluster(cluster, assignment, centre, zone, cp, ds, mindis, trainsample, train_fl):2    """3    Modify clusters based on demands flow4    Returns5    ----------6    assignment: array, dtype=int, size=zone7        updated assignment of each station to cluster8    """9    from modify_cluster.compute_orig_loss import compute_orig_loss10    from modify_cluster.compute_average_loss import compute_average_loss11    # Compute original loss12    loss = compute_orig_loss(zone, cp, ds, trainsample, train_fl)13    # Compute ALg14    AL = compute_average_loss(loss)15    ...

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