def __prep_turbine_sample__()

in lab/app_ggv2/windfarm.py [0:0]

• 8 lines of code
• 5 McCabe index (conditional complexity)

    def __prep_turbine_sample__(self, turbine_id, data):
        vib_noise,rot_noise,vol_noise = self.is_noise_enabled(turbine_id)
        #np.array([8,9,10,7,  22, 5, 6]) # qX,qy,qz,qw  ,wind_seed_rps, rps, voltage        
        if vib_noise: data[self.feature_ids[0:4]] = np.random.rand(4) * 100 # out of the radians range
        if rot_noise: data[self.feature_ids[5]] = np.random.rand(1) * 100 # out of the normalized wind range
        if vol_noise: data[self.feature_ids[6]] = int(np.random.rand(1)[0] * 10000) # out of the normalized voltage range

        self.data_buffer[turbine_id].append(data)
        if len(self.data_buffer[turbine_id]) > self.max_buffer_size:
            del self.data_buffer[turbine_id][0]