code: def create_database(client, database):
      if client.databases().contains(database):
          raise ValueError(
              f"There is already a database present with the name {database}. The Diagnosis example expects a clean DB. "
              f"Please delete the {database} database, or use another database name"
          )
      client.databases().create(database)
  
imports: import argparse
  import inspect
  import os
  import networkx
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch import as_tensor
  from torch.utils.tensorboard import SummaryWriter
  from torch_geometric.nn import HGTConv
  from typedb.client import *
  from examples.diagnosis.dataset.generate import generate_example_data
  from typedb_ml.networkx.query_graph import QueryGraph, Query
  from typedb_ml.pytorch_geometric.dataset.dataset import DataSet
  from typedb_ml.pytorch_geometric.transform.binary_link_prediction import LinkPredictionLabeller, binary_relations_to_edges, binary_link_prediction_edge_triplets
  from typedb_ml.pytorch_geometric.transform.common import clear_unneeded_fields, store_concepts_by_type
  from typedb_ml.pytorch_geometric.transform.encode import FeatureEncoder, CategoricalEncoder, ContinuousEncoder
  from typedb_ml.typedb.load import load_typeql_file, FileType
  from typedb_ml.typedb.type import get_thing_types
label_desc: Use image node_id 2 for calling a global function with example usage: create_database(client, database) without return types