class_docstr: test AnalyzerResult on good numpy data type
docstr: numpy array of strings
docstr_tok: ["numpy","array","of","strings"]
code: def testOnNumpyArrayOfStrings(self):
      "numpy array of strings"
      self.result.data_object.value = np.array(["hello", "hola"])
  
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 10 for calling the TestAnalyzerResultGoodType obj's underlying member method code with example usage: obj.testOnNumpyArrayOfStrings() without return types