97b74b011d7f4e3a144be6417a7285c0fc91fd72,nussl/separation/ica.py,ICA,run,#ICA#,40

Before Change

        self.mixing = ica.mixing_
        self.mean = ica.mean_
        self.sources = []
        for i in range(sources.shape[0]):
            signal = nussl.audio_signal.AudioSignal(audio_data_array=sources[i, :],
                                                    sample_rate=self.audio_signal.sample_rate)
            self.sources.append(signal)
        return self.sources

    def make_audio_signals(self):
         Returns the background and foreground audio signals. You must have run ICA.run() prior

After Change

        // store the resultant computations
        self.estimated_mixing_params = ica.mixing_
        self.mean = ica.mean_
        self.estimated_sources = [nussl.AudioSignal(audio_data_array=ica_output[i, :],
                                                    sample_rate=self.audio_signal.sample_rate)
                                  for i in range(ica_output.shape[0])]

        return self.estimated_sources

    def make_audio_signals(self):

Instances