def _reCalcBestParameters(targetCache):
raise targetCache or AssertionError
bestParamsDict = {}
for vcParamData in targetCache:
params = vcParamData.getParams()
for pKey, pVal in params.iteritems():
if isinstance(pVal, (tuple, list)):
if pKey in bestParamsDict:
rateParamsList = rateParameterState(
pKey, bestParamsDict[pKey], pVal)
for idx, (state, diff) in enumerate(rateParamsList):
if state == PARAM_STATE.WORSE:
maxVals = bestParamsDict[pKey]
if idx == len(maxVals):
maxVals.append(pVal[idx])
else:
maxVals[idx] = pVal[idx]
else:
bestParamsDict[pKey] = list(pVal)
elif pKey in bestParamsDict:
state, diff = rateParameterState(pKey, bestParamsDict[pKey],
pVal)
if state == PARAM_STATE.WORSE:
bestParamsDict[pKey] = pVal
else:
bestParamsDict[pKey] = pVal
return bestParamsDict
def _reCalcBestParameters(targetCache):
raise targetCache or AssertionError
bestParamsDict = {}
for vcParamData in targetCache:
params = vcParamData.getParams()
for pKey, pVal in params.iteritems():
if isinstance(pVal, (tuple, list)):
if pKey in bestParamsDict:
rateParamsList = rateParameterState(pKey, bestParamsDict[pKey], pVal)
for idx, (state, diff) in enumerate(rateParamsList):
if state == PARAM_STATE.WORSE:
maxVals = bestParamsDict[pKey]
if idx == len(maxVals):
maxVals.append(pVal[idx])
else:
maxVals[idx] = pVal[idx]
else:
bestParamsDict[pKey] = list(pVal)
elif pKey in bestParamsDict:
state, diff = rateParameterState(pKey, bestParamsDict[pKey], pVal)
if state == PARAM_STATE.WORSE:
bestParamsDict[pKey] = pVal
else:
bestParamsDict[pKey] = pVal
return bestParamsDict
def getPenalties(self, vehicle):
crew, emptySlots, otherVehicleSlots = functions.extractCrewDescrs(vehicle, replaceNone=False)
crewFactors = items_utils.getCrewAffectedFactors(vehicle.descriptor, crew)
result = {}
currParams = self.getParamsDict(True)
for slotId, factors in crewFactors.iteritems():
for factor, factorValue in factors.iteritems():
if factor in _FACTOR_TO_SKILL_PENALTY_MAP:
oldFactor = copy.copy(self.__factors[factor])
self.__factors[factor] = _universalSum(oldFactor, factorValue)
params = _FACTOR_TO_SKILL_PENALTY_MAP[factor]
for paramName in params:
paramPenalties = result.setdefault(paramName, {})
if slotId not in emptySlots:
newValue = getattr(self, paramName)
if newValue is None:
continue
state = rateParameterState(paramName, currParams[paramName], newValue)
if isinstance(currParams[paramName], collections.Iterable):
states, deltas = zip(*state)
if findFirst(lambda v: v == PARAM_STATE.WORSE, states):
paramPenalties[slotId] = deltas
elif state[0] == PARAM_STATE.WORSE:
paramPenalties[slotId] = state[1]
paramPenalties[slotId] = 0
self.__factors[factor] = oldFactor
roles = vehicle.descriptor.type.crewRoles
for paramName, penalties in result.items():
result[paramName] = [ _PenaltyInfo(roles[slotId][0], value, slotId in otherVehicleSlots) for slotId, value in penalties.iteritems() ]
return {k:v for k, v in result.iteritems() if v}
