code: def test_tsne(compute_numeric_backend_df):
      x = dim_reduc(
          data=compute_numeric_backend_df,
          n_components=2,
          dim_method="tsne",
      )
      y = dim_reduc(
          data=compute_numeric_backend_df,
          n_components=2,
          apply_tsvd=False,
          dim_method="tsne",
      )
      assert isinstance(x, tuple)
      assert _is_dataframe(x[0])
      assert isinstance(x[1], sklearn.manifold.TSNE)
      assert not x[0].equals(y[0])
  
file_path: data-describe/tests/test_dimensionality_reduction.py
imports: import pytest
  import sklearn
  from data_describe.compat import _is_dataframe
  from data_describe.dimensionality_reduction.dimensionality_reduction import dim_reduc
label_desc: Use image node_id 4 for calling a global function with example usage: test_tsne(compute_numeric_backend_df) without return types