code: def test_fail_array_fit():
      lda = LDA()
      with pytest.raises(ValueError):
          lda.fit(X[1], y[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 5 for calling a global function with example usage: test_fail_array_fit() without return types