class_docstr: test AnalyzerResult on good numpy data type
docstr: numpy 2d array of float64
docstr_tok: ["numpy","2d","array","of","float64"]
code: def testOnNumpy2DArrayOfFloat64(self):
      "numpy 2d array of float64"
      self.result.data_object.value = (
          np.ones([2, 3], dtype="float64") * pi
      )
  
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 8 for calling the TestAnalyzerResultGoodType obj's underlying member method code with example usage: obj.testOnNumpy2DArrayOfFloat64() without return types