class_docstr: test AnalyzerResult on good numpy data type
docstr: numpy vector of float
docstr_tok: ["numpy","vector","of","float"]
code: def testOnNumpyVectorOfFloat(self):
      "numpy vector of float"
      self.result.data_object.value = np.ones(2, dtype="float") * 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 7 for calling the TestAnalyzerResultGoodType obj's underlying member method code with example usage: obj.testOnNumpyVectorOfFloat() without return types