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55 def run_step_imshow(step): 56 res = env.step(np.random.randint(0, 3, size=2 * n_arenas)) 57 for i in range(4): 58 imshows[i].set_data(res['Learner'].visual_observations[0][i, :, :, :]) 59 fig.suptitle('Step = ' + str(step)) 60 return imshows
4 def generatePlot(stepType): 5 line = Line() 6 line.xValues = xVals 7 line.yValues = yVals 8 line.marker = 'o' 9 line.stepFunction(stepType) 10 11 plot = Plot() 12 plot.add(line) 13 plot.title = r'"%s" Steps' % (stepType) 14 plot.xLimits = (0, 6) 15 plot.yLimits = (0, 6) 16 17 return plot