code: def setUpClass(cls):
      cls.evadb = get_evadb_for_testing()
      load_functions_for_testing(cls.evadb, mode="debug")
  
      # Create feature vector table and raw input table.
      feat1 = np.array([[0, 0, 0]]).astype(np.float32)
      feat2 = np.array([[100, 100, 100]]).astype(np.float32)
      feat3 = np.array([[200, 200, 200]]).astype(np.float32)
  
      input1 = np.array([[0, 0, 0]]).astype(np.uint8)
      input2 = np.array([[100, 100, 100]]).astype(np.uint8)
      input3 = np.array([[200, 200, 200]]).astype(np.uint8)
  
      # Create table.
      execute_query_fetch_all(
          cls.evadb,
          """create table if not exists testCreateIndexFeatTable (
                  feat NDARRAY FLOAT32(1,3)
              );""",
      )
      execute_query_fetch_all(
          cls.evadb,
          """create table if not exists testCreateIndexInputTable (
                  input NDARRAY UINT8(1,3)
              );""",
      )
  
      # Create pandas dataframe.
      feat_batch_data = Batch(
          pd.DataFrame(
              data={
                  "feat": [feat1, feat2, feat3],
              }
          )
      )
      feat_tb_entry = cls.evadb.catalog().get_table_catalog_entry(
          "testCreateIndexFeatTable"
      )
      storage_engine = StorageEngine.factory(cls.evadb, feat_tb_entry)
      storage_engine.write(feat_tb_entry, feat_batch_data)
  
      input_batch_data = Batch(
          pd.DataFrame(
              data={
                  "input": [input1, input2, input3],
              }
          )
      )
      input_tb_entry = cls.evadb.catalog().get_table_catalog_entry(
          "testCreateIndexInputTable"
      )
      storage_engine.write(input_tb_entry, input_batch_data)
  
imports: import unittest
  from pathlib import Path
  from test.markers import macos_skip_marker
  from test.util import get_evadb_for_testing, load_functions_for_testing
  import numpy
  import pandas
  import pytest
  from evadb.catalog.catalog_type import VectorStoreType
  from evadb.executor.executor_utils import ExecutorError
  from evadb.models.storage.batch import Batch
  from evadb.server.command_handler import execute_query_fetch_all
  from evadb.storage.storage_engine import StorageEngine
  from evadb.utils.generic_utils import try_to_import_faiss
label_desc: Use image node_id 2 for calling the CreateIndexTest obj's underlying member method code with example usage: obj.setUpClass(cls) without return types