def create_minibatch_x(minibatches, minibatch_markers, epoch_axis):
    if epoch_axis:
        x = np.zeros((minibatches,))
        last_e = 0
        for e_idx, e in enumerate(minibatch_markers):
            e_minibatches = e - last_e
            x[last_e:e] = e_idx + (np.arange(float(e_minibatches))/e_minibatches)
            last_e = e
    else:
        x = np.arange(minibatches)

    return x
Unregister a client from the publisher for the given topic.
dataset/ETHPy150Open NervanaSystems/neon/neon/visualizations/data.py/create_minibatch_x--crossover with--dataset/ETHPy150Open RobotWebTools/rosbridge_suite/rosbridge_library/src/rosbridge_library/internal/publishers.py/PublisherManager.unregister