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Location: OneEye/src/tests/testEngine.py - annotation
7cb01d4080c9
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text/x-python
a hinted neural network (failed)
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import logging as log
from unittest import TestCase
import config as cfg
from util import BLACK as B,WHITE as W,EMPTY as _
from go.engine import SpecGo,Engine
from statebag import BoardState
from .util import simpleLoadSgf,listStates
_log=log.getLogger(__name__)
_log.setLevel(log.INFO)
_log.propagate=False
formatter=log.Formatter("%(asctime)s %(levelname)s: %(message)s",datefmt="%Y-%m-%d %H:%M:%S")
handler=log.FileHandler("/tmp/oneeye.log",mode="w")
handler.setFormatter(formatter)
_log.addHandler(handler)
class TestTransitions(TestCase):
def testBasic(self):
s1=BoardState([
[_,_,_],
[_,_,_],
[_,_,_]
])
s2=BoardState([
[_,_,_],
[_,B,_],
[_,_,_]
])
g=SpecGo(3)
eng=Engine(g)
eng.load(s1)
eng._moveList=eng._g.listRelevantMoves(s2-s1)
self.assertEqual(eng._dfs(s2,1),[(1,1,1)])
def testCapture(self):
s1=BoardState([
[_,W,_],
[W,B,_],
[_,W,_]
])
s2=BoardState([
[_,W,_],
[W,_,W],
[_,W,_]
])
g=SpecGo(3)
g.toMove=W
eng=Engine(g)
eng.load(s1)
eng._moveList=eng._g.listRelevantMoves(s2-s1)
self.assertEqual(eng._dfs(s2,1),[(W,1,2)])
def testMulti(self):
s1=BoardState([
[_,_,_],
[_,_,_],
[_,_,_]
])
s2=BoardState([
[_,_,_],
[_,B,W],
[_,_,_]
])
g=SpecGo(3)
eng=Engine(g)
eng.load(s1)
eng._moveList=eng._g.listRelevantMoves(s2-s1)
self.assertEqual(eng._dfs(s2,2),[(W,1,2),(B,1,1)])
def testSnapback(self):
s1=BoardState([
[B,B,B],
[B,_,B],
[B,W,B]
])
s2=BoardState([
[_,_,_],
[_,_,_],
[_,W,_]
])
g=SpecGo(3)
eng=Engine(g)
eng.load(s1)
eng._moveList=eng._g.listRelevantMoves(s2-s1)
self.assertEqual(eng._dfs(s2,2),[(W,2,1),(B,1,1)])
s1=BoardState([
[_,_,_],
[W,B,B],
[_,W,W]
])
s2=BoardState([
[_,_,_],
[W,B,B],
[_,W,_]
])
eng.load(s1)
eng._moveList=eng._g.listRelevantMoves(s2-s1)
self.assertEqual(eng._dfs(s2,2),[(W,2,1),(B,2,0)])
def testReal(self):
files=["O-Takao-20110106.sgf","Sakai-Iyama-20110110.sgf"]
eng=Engine()
for f in files:
moves=simpleLoadSgf(os.path.join(cfg.srcDir,"tests/data",f))
states=listStates(moves)
for k in range(1,4):
toMove=B
for (i,(s1,s2)) in enumerate(zip(states,states[k:])):
diff=s2-s1
eng.load(s1)
colorIn=W if i&1 else B
colorOut=colorIn if k&1 else -colorIn
seq=eng.iterativelyDeepen(s2,diff,colorIn,colorOut)
msg="\n>>> {0} ({1}, {2})\n>>> {3}\n".format(f,k,i,str(seq))+s1.exportDiff(s2)
self.assertIsNotNone(seq,msg)
self.assertLessEqual(len(seq),k,msg)
if len(seq)!=k: _log.warning("shorter than expected transition sequence:" + msg + "\n" + str(seq))
toMove*=-1
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