code: def test_load_from_long_to_dataframe(tmpdir):
      """Test for loading from long to dataframe."""
      # create and save a example long-format file to csv
      test_dataframe = generate_example_long_table()
      dataframe_path = tmpdir.join("data.csv")
      test_dataframe.to_csv(dataframe_path, index=False)
      # load and convert the csv to sktime-formatted data
      nested_dataframe = load_from_long_to_dataframe(dataframe_path)
      assert isinstance(nested_dataframe, pd.DataFrame)
  
imports: import os
  import tempfile
  import numpy
  import pandas
  import pytest
  from pandas._testing import assert_frame_equal
  import sktime
  from sktime.datasets import generate_example_long_table, load_from_long_to_dataframe, load_from_tsfile, load_from_tsfile_to_dataframe, load_tsf_to_dataframe, write_dataframe_to_tsfile, write_panel_to_tsfile
  from sktime.datasets._data_io import MODULE, _load_provided_dataset
  from sktime.datasets._readers_writers.tsf import _convert_tsf_to_hierarchical
  from sktime.datatypes import check_is_mtype
label_desc: Use image node_id 3 for calling a global function with example usage: test_load_from_long_to_dataframe(tmpdir) without return types