class SmallGainStat(ListSlotPrimitiveConversion):
__slots__ = ('win_given_any_gain',
'win_given_no_gain',
'win_weighted_gain')
def __init__(self):
self.win_given_any_gain = MeanVarStat()
self.win_given_no_gain = MeanVarStat()
self.win_weighted_gain = MeanVarStat()
def merge(self, other):
self.win_given_any_gain.merge(other.win_given_any_gain)
self.win_given_no_gain.merge(other.win_given_no_gain)
self.win_weighted_gain.merge(other.win_weighted_gain)
def avail(self):
return self.win_given_any_gain.freq() + self.win_given_no_gain.freq()
def __str__(self):
return 'a <%s> n <%s> w <%s>' % (self.win_given_any_gain,
self.win_given_no_gain,
self.win_weighted_gain)
def to_readable_primitive_object(self):
ret = {}
for name in self.__slots__:
ret[name] = getattr(self, name).to_primitive_object()
return ret
class SmallGainStat(ListSlotPrimitiveConversion):
__slots__ = ('win_given_any_gain', 'win_given_no_gain',
'win_weighted_gain')
def __init__(self):
self.win_given_any_gain = MeanVarStat()
self.win_given_no_gain = MeanVarStat()
self.win_weighted_gain = MeanVarStat()
def merge(self, other):
self.win_given_any_gain.merge(other.win_given_any_gain)
self.win_given_no_gain.merge(other.win_given_no_gain)
self.win_weighted_gain.merge(other.win_weighted_gain)
def avail(self):
return self.win_given_any_gain.freq() + self.win_given_no_gain.freq()
def __str__(self):
return 'a <%s> n <%s> w <%s>' % (self.win_given_any_gain,
self.win_given_no_gain,
self.win_weighted_gain)
def to_readable_primitive_object(self):
ret = {}
for name in self.__slots__:
ret[name] = getattr(self, name).to_primitive_object()
return ret
def add_outcome(self, tracker_type, ratio, win_points):
if tracker_type == 'final':
tracker = self.final
elif tracker_type == 'progressive':
tracker = self.progressive
else:
raise
if ratio not in tracker:
tracker[ratio] = MeanVarStat()
tracker[ratio].add_outcome(win_points)
def __init__(self):
self.available = 0
self.win_any_accum = MeanVarStat()
self.win_weighted_accum = MeanVarStat()
self.win_weighted_accum_turn = ConvertibleDefaultDict(MeanVarStat, int)
self.win_diff_accum = ConvertibleDefaultDict(MeanVarStat, int)
def parse(key):
ret = MeanVarStat()
ret.from_primitive_object(stats[key])
return ret
def parse(key):
ret = MeanVarStat()
ret.from_primitive_object(stats[key])
return ret
def __init__(self):
self.win_given_any_gain = MeanVarStat()
self.win_given_no_gain = MeanVarStat()
self.win_weighted_gain = MeanVarStat()
def __init__(self):
self.win_given_any_gain = MeanVarStat()
self.win_given_no_gain = MeanVarStat()
self.win_weighted_gain = MeanVarStat()
