85 lines
2.3 KiB
Python
85 lines
2.3 KiB
Python
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from tqdm import tqdm
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import time
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import json
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import os
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import statistics
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def stats(values):
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ret={
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"max":max(values),
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"min":min(values),
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"mean":statistics.mean(values),
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"range":abs(max(values)-min(values)),
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"sum":sum(values)
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}
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if len(values)>1:
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ret["stdev"]=statistics.stdev(values)
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else:
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ret["stdev"]=0
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return ret
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last_seen=float('inf')
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pbar=None
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def callback(state):
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try:
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global pbar,last_seen
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if state['n_seen']<last_seen:
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if pbar:
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pbar.close()
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pbar=tqdm(total=state['d_total'],unit="Ly",unit_scale=True)
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last_seen=state['n_seen']
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pbar.n=round(state['d_total']-state['d_rem'],2)
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pbar.set_description("[J:{depth} | Q:{queue_size} | D:{d_rem:.2f} Ly | S:{n_seen} ({prc_seen:.2f}%)] {system}".format(**state))
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pbar.update(0)
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except Exception as e:
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print(e)
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if not 'callback' in vars():
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callback=None
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import _ed_lrr
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callback=None
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r=_ed_lrr.PyRouter(callback)
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r.load("stars.csv")
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res=[]
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done=set()
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if os.path.isfile("res.json"):
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with open("res.json","r") as fh:
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try:
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res=json.load(fh)
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except:
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pass
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for v in res:
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done.add((v[0],v[1]))
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systems=r.resolve_systems("Sol","Colonia")
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min_dt_total=60*10
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print("Warming up...")
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r.route([systems['Sol'],systems['Sol']],48.0,0.0,0.0,0) # warmup
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print("Done")
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for g in [0.0, 0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0]:
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for w in [0.0, 0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0]:
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if (g,w) in done:
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continue
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dt=[]
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lr=[]
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l=0
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while sum(dt)<min_dt_total:
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l+=1
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print({'g':g,'w':w,'l':l})
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t=time.time()
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route=r.route([systems['Sol'],systems['Colonia']],48.0,g,w,0)
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dt.append(time.time()-t)
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lr.append(len(route))
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print(stats(dt))
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dt=sum(dt)/len(dt)
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res.append((g,w,lr,dt))
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with open("res.json","w") as of:
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json.dump(res,of)
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# for n in range(21):
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# grid=r.get_grid(1<<n)
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# max_v=max(grid.items(),key=lambda v:v[1])
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# mean_v=sum(grid.values())/len(grid)
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# print(1<<n,len(grid),mean_v,max_v)
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