docstr: Regression of the activations for a DC signal
docstr_tok: ["Regression","of","the","activations","for","a","DC","signal"]
code: def testRegressionDC(self):
      """Regression of the activations for a DC signal"""
  
      expected_file = join(
          filedir(),
          "tensorflowpredictfsdsinet",
          "dc_activations_fsd-sinet-vgg41-tlpf-ibp-1.npy",
      )
      expected = numpy.load(expected_file)
  
      audio = numpy.ones(self.sr, dtype="float32")
  
      model = join(
          testdata.models_dir,
          "fsd-sinet",
          "fsd-sinet-vgg41-tlpf-ibp-1.pb",
      )
      found = TensorflowPredictFSDSINet(
          graphFilename=model, normalize=False
      )(audio).squeeze()
  
      self.assertAlmostEqualVector(found, expected, 1e-3)
  
imports: from essentia_test import *
label_desc: Use image node_id 1 for calling the TestTensorFlowPredictFSDSINet obj's underlying member method code with example usage: obj.testRegressionDC() without return types