class_docstr: Tests for CircularFingerprint.
class_docstr_tok: ["Tests","for","CircularFingerprint","."]
docstr: Test CircularFingerprint with counts-based encoding
docstr_tok: ["Test","CircularFingerprint","with","counts-based","encoding"]
code: def test_count_based_circular_fingerprints(self):
      """
      Test CircularFingerprint with counts-based encoding
      """
      featurizer = CircularFingerprint(is_counts_based=True)
      rval = featurizer([self.mol])
      assert rval.shape == (1, 2048)
  
      # number of indices where feature count is more than 1
      assert len(np.where(rval[0] > 1.0)[0]) == 8
  
file_path: deepchem/deepchem/feat/tests/test_circular_fingerprints.py
imports: import unittest
  from deepchem.feat import CircularFingerprint
  import numpy
label_desc: Use image node_id 3 for calling the TestCircularFingerprint obj's underlying member method code with example usage: obj.test_count_based_circular_fingerprints() without return types