def runWorker(pipe, lines, i, moveTime):
nrPassed = 0
for rawLine in lines:
i += 1
pos, operations = parseEpd(rawLine)
bm = [
chessmoves.move(pos, bm, notation='uci')[0]
for bm in operations['bm'].split()
] # best move
am = [
chessmoves.move(pos, am, notation='uci')[0]
for am in operations['am'].split()
] # avoid move
dm = [int(dm) for dm in operations['dm'].split()] # mate distance
score, move = engine.search(pos, movetime=moveTime, info=None)
mate = None
if score >= 31.0: mate = 32.0 - score
if score <= -31.0: mate = -32.0 - score
if mate is not None:
mate = (int(round(mate * 1000.0)) + 1) // 2
if (len(bm) == 0 or move in bm) and\
(len(am) == 0 or move not in am) and\
(len(dm) == 0 or mate in dm):
print '%5d OK bestmove %-5s score %+7.3f mate %-4s epd %s' % (
i, move, score, mate, rawLine),
nrPassed += 1
else:
print '%5d NOK bestmove %-5s score %+7.3f mate %-4s epd %s' % (
i, move, score, mate, rawLine),
pipe.send((nrPassed, len(lines)))
def evaluateVector(tests, passive, useCache):
"""
tests : list of (fen, result) tuples
passive : (in/out) dict of positions whose score has stayed constant
useCache : flag to indicate when cached values can be used
"""
sumSquaredErrors = 0.0
scores = []
active = 0
for pos, target in tests:
if not useCache or pos not in passive:
score, move = engine.search(pos, depth) # slow
if pos in passive:
if score != passive[pos]:
del passive[pos]
active += 1
else:
active += 1
else:
score = passive[pos] # fast
scores.append(score)
p = scoreToP(score)
sumSquaredErrors += (p - target) * (p - target)
return sumSquaredErrors, scores, active
def runWorker(pipe, lines, i, moveTime):
nrPassed = 0
for rawLine in lines:
i += 1
pos, operations = parseEpd(rawLine)
bm = [chessmoves.move(pos, bm, notation='uci')[0] for bm in operations['bm'].split()] # best move
am = [chessmoves.move(pos, am, notation='uci')[0] for am in operations['am'].split()] # avoid move
dm = [int(dm) for dm in operations['dm'].split()] # mate distance
score, move = engine.search(pos, movetime=moveTime, info=None)
mate = None
if score >= 31.0: mate = 32.0 - score
if score <= -31.0: mate = -32.0 - score
if mate is not None:
mate = (int(round(mate * 1000.0)) + 1) // 2
if (len(bm) == 0 or move in bm) and\
(len(am) == 0 or move not in am) and\
(len(dm) == 0 or mate in dm):
print '%5d OK bestmove %-5s score %+7.3f mate %-4s epd %s' % (i, move, score, mate, rawLine),
nrPassed += 1
else:
print '%5d NOK bestmove %-5s score %+7.3f mate %-4s epd %s' % (i, move, score, mate, rawLine),
pipe.send((nrPassed, len(lines)))
import floyd as engine
import sys
depth = int(sys.argv[1])
for rawLine in sys.stdin:
print rawLine,
score, move = engine.search(rawLine, depth=depth, info='uci')
print
return pos, operations
nrPassed = 0
nrTests = 0
movetime = float(sys.argv[1])
for rawLine in sys.stdin:
print rawLine,
nrTests += 1
pos, operations = parseEpd(rawLine)
bm = [chessmoves.move(pos, bm, notation='uci')[0] for bm in operations['bm'].split()] # best move
am = [chessmoves.move(pos, am, notation='uci')[0] for am in operations['am'].split()] # avoid move
dm = [int(dm) for dm in operations['dm'].split()] # mate distance
score, move = engine.search(pos, movetime=movetime, info='uci')
mate = None
if score >= 31.0: mate = 32.0 - score
if score <= -31.0: mate = -32.0 - score
if mate is not None:
mate = (int(round(mate * 1000.0)) + 1) // 2
print 'bestmove', move, 'score', score, 'mate', mate
print 'test',
if (len(bm) == 0 or move in bm) and\
(len(am) == 0 or move not in am) and\
(len(dm) == 0 or mate in dm):
print 'result OK',
nrPassed += 1
else:
print 'result FAILED',
print 'passed %d total %d' % (nrPassed, nrTests)
import floyd as engine
import sys
depth = int(sys.argv[1])
for rawLine in sys.stdin:
print rawLine,
score, move = engine.search(rawLine, depth=depth, info='uci')
print