active_time = graph.active_time / running_time
active_time = round(100 * active_time, 2)
var_active.set("Active Time : {}%".format(active_time))
keys_clicks = graph.keypresses / max((graph.clicks + graph.keypresses), 1)
keys_clicks = round(100 * keys_clicks, 2)
var_cur.set("Current : {} APM".format(cur_apm))
var_cur_hover.set("{} APM".format(cur_apm))
var_max.set("Max : {} APM".format(max_apm))
var_avg.set("Avg : {} APM".format(avg_apm))
var_kc.set("Keypresses : {}%".format(keys_clicks))
Fenetre.update_idletasks()
if graph.active != "inactive":
stats.after(100, update_stats)
# Real-time moving average apm graphing
graph = Graph(Fenetre,
bg="black",
width=width,
height=3 * height // 4,
max_x=10,
max_y=10)
graph.place(x=0, y=height // 4)
graph.display(intro=True)
Fenetre.mainloop()
klistener.stop()
mlistener.stop()
