code: def test_fail_array_transform():
      lda = LDA()
      lda.fit(X, y)
      with pytest.raises(ValueError):
          lda.transform(X[1])
  
file_path: mlxtend/mlxtend/feature_extraction/tests/test_linear_discriminant_analysis.py
imports: import numpy
  import pytest
  from numpy.testing import assert_almost_equal
  from mlxtend.data import iris_data
  from mlxtend.feature_extraction import LinearDiscriminantAnalysis
  from mlxtend.preprocessing import standardize
label_desc: Use image node_id 6 for calling a global function with example usage: test_fail_array_transform() without return types