class_docstr: Test for DummyFeaturizer.
class_docstr_tok: ["Test","for","DummyFeaturizer","."]
docstr: Test the featurize method on an array of inputs.
docstr_tok: ["Test","the","featurize","method","on","an","array","of","inputs","."]
code: def test_featurize(self):
      """
      Test the featurize method on an array of inputs.
      """
      input_array = np.array(
          [
              [
                  "N#C[S-].O=C(CBr)c1ccc(C(F)(F)F)cc1>CCO.[K+]",
                  "N#CSCC(=O)c1ccc(C(F)(F)F)cc1",
              ],
              [
                  "C1COCCN1.FCC(Br)c1cccc(Br)n1>CCN(C(C)C)C(C)C.CN(C)C=O.O",
                  "FCC(c1cccc(Br)n1)N1CCOCC1",
              ],
          ]
      )
      featurizer = dc.feat.DummyFeaturizer()
      out = featurizer.featurize(input_array)
      assert isinstance(out, np.ndarray)
      assert out.shape == input_array.shape
  
imports: import unittest
  import deepchem
  import numpy
label_desc: Use image node_id 1 for calling the TestDummyFeaturizer obj's underlying member method code with example usage: obj.test_featurize() without return types