class_docstr: test AnalyzerResult on good numpy data type
docstr: numpy 3d array of int32
docstr_tok: ["numpy","3d","array","of","int32"]
code: def testOnNumpy3DArrayOfInt32(self):
      "numpy 3d array of int32"
      self.result.data_object.value = np.ones([2, 3, 2], dtype="int32")
  
imports: import unittest
  from unit_timeside import TestRunner
  from timeside.core.analyzer import AnalyzerResult, AnalyzerResultContainer
  from timeside.core import __version__
  import numpy
  from math import pi
  from timeside.core.analyzer import numpy_data_types
label_desc: Use image node_id 9 for calling the TestAnalyzerResultGoodType obj's underlying member method code with example usage: obj.testOnNumpy3DArrayOfInt32() without return types