class_docstr: Unit tests for essentia CoverSongSimilarity algorithm
docstr: Test regression of CoverSongSimilarity algorithm in streaming mode
docstr_tok: ["Test","regression","of","CoverSongSimilarity","algorithm","in","streaming","mode"]
code: def testRegressionStreaming(self):
      """Test regression of CoverSongSimilarity algorithm in streaming mode"""
      from essentia.streaming import (
          CoverSongSimilarity as CoverSongSimilarityStreaming,
      )
  
      matrix_input = VectorInput(self.sim_matrix)
      coversim_streaming = CoverSongSimilarityStreaming(
          pipeDistance=True
      )
      pool = Pool()
      matrix_input.data >> coversim_streaming.inputArray
      coversim_streaming.scoreMatrix >> (pool, "scoreMatrix")
      coversim_streaming.distance >> (pool, "distance")
      # run the algorithm network
      run(matrix_input)
  
      self.assertAlmostEqualFixedPrecision(
          self.expected_distance, pool["distance"][-1]
      )
  
imports: from essentia_test import *
label_desc: Use image node_id 4 for calling the TestCoverSongSimilarity obj's underlying member method code with example usage: obj.testRegressionStreaming() without return types