active_inference_basic.py 文件源码

def rh_system_generate_sweep_input(self):
        """ActiveInferenceExperiment.rh_system_generate_sweep_input

        generate system inputs on a grid to sweep the system
        """

        # create meshgrid over proprio dimensions
        sweepsteps = 21 # 11
        dim_axes = [np.linspace(self.environment.conf.m_mins[i], self.environment.conf.m_maxs[i], sweepsteps) for i in range(self.environment.conf.m_ndims)]
        full_axes = np.meshgrid(*tuple(dim_axes), indexing='ij')

        # print "dim_axes", dim_axes
        # print "full_axes", len(full_axes)
        # print "full_axes", full_axes

        for i in range(len(full_axes)):
            print i, full_axes[i].shape
            print i, full_axes[i].flatten()

        # return proxy
        self.X_system_sweep = np.vstack([full_axes[i].flatten() for i in range(len(full_axes))]).T