def goban_from_strings(strlist):
size = max(len(strlist), reduce(lambda a, b: a+max(len(b)-a, 0), strlist, len(strlist)))
ret = goban(size)
#print g.intersections[3, 3].group
#test_data = open('../2010-03-07-Blanc-Noir.sgf').read()
#test_data = open('../sgf/blob-gnugo.sgf').read()
#test_data = open('../sgf/test.sgf').read()
#test_data = open('../Murakawa-Iyama-9x9.sgf').read()
#g=goban()
#col = SGFParser(test_data).parse()
#g.feed(col[0].mainline(), aftermove)
#print
#print unicode(g)
#print estimate_score(g)
#g=goban(9)
#print lmscores(BLACK)
g=goban('../sgf/goama134.sgf')
st=shape_tree()
st.from_strings(["sf", "fs"], 'crosscut')
st.from_strings(["s.", "fs"], 'cutting_point')
st.from_strings(["s!", "ss"], 'empty_triangle')
st.from_strings(["ss", "!!", "ss"], 'bamboo_joint')
stma = st.match_all(g)
#print stma
bad_shape = shape_tree()
bad_shape.from_strings([".!.", "sfs", " f "], "tobi_tranche")
bad_shape.from_strings(["...", "sf.", ".fs", "..."], "keima_tranche")
bad_shape.from_strings(["s..", ".!.", "..s"], "elephant")
bad_shape.from_strings(["s!", "Fs"], 'cutting_point')
bad_shape.from_strings(["? ", "s! ", "ss?"], 'empty_triangle')