@staticmethod<EOL><INDENT>def show_observation_matrix(cnn_output_dynamic):<DEDENT>
observation_matrix = numpy.array(cnn_output_dynamic.allocate_observation_matrix())<EOL>plt.imshow(observation_matrix.T, cmap = plt.get_cmap('<STR_LIT>'), interpolation='<STR_LIT:None>', vmin = <NUM_LIT:0.0>, vmax = <NUM_LIT:1.0>)<EOL>plt.show()<EOL>
!
        @brief Shows observation matrix as black/white blocks.
        @details This type of visualization is convenient for observing allocated clusters.

        @param[in] cnn_output_dynamic (cnn_dynamic): Output dynamic of the chaotic neural network.

        @see show_output_dynamic
        @see show_dynamic_matrix