code: def test_HDF5Interactions_meta_instantiation(
      hdf5_pandas_df_path, hdf5_pandas_df_path_with_meta, capfd
  ):
      interactions_with_meta = HDF5Interactions(
          hdf5_path=hdf5_pandas_df_path_with_meta,
          user_col="user_id",
          item_col="item_id",
      )
  
      out, _ = capfd.readouterr()
      assert (
          "``meta`` key not found - generating ``num_users`` and ``num_items``"
          not in out
      )
  
      interactions_no_meta = HDF5Interactions(
          hdf5_path=hdf5_pandas_df_path,
          user_col="user_id",
          item_col="item_id",
      )
  
      out, _ = capfd.readouterr()
      assert (
          "``meta`` key not found - generating ``num_users`` and ``num_items``"
          in out
      )
  
      assert (
          interactions_with_meta.num_users
          == interactions_no_meta.num_users
      )
      assert (
          interactions_with_meta.num_items
          == interactions_no_meta.num_items
      )
  
      expected_repr = (
          "HDF5Interactions object with 12 interactions between 6 users and 10 items, returning 10"
          " negative samples per interaction."
      )
      assert (
          str(interactions_with_meta)
          == str(interactions_no_meta)
          == expected_repr
      )
  
imports: import sys
  import numpy
  import pandas
  import pytest
  from collie.interactions import ApproximateNegativeSamplingInteractionsDataLoader, ExplicitInteractions, HDF5Interactions, HDF5InteractionsDataLoader, Interactions, InteractionsDataLoader
label_desc: Use image node_id 5 for calling a global function with example usage: test_HDF5Interactions_meta_instantiation(hdf5_pandas_df_path, hdf5_pandas_df_path_with_meta, capfd) without return types