def FillNa(Mna, Rep, Catchp=Decimal('0.1')):
Mnew = Mna
MnewC = Mna
if any_NA(Mna):
DecisionOutcomesRaw = GetDecisionOutcomes(Mna, Rep)
NAmat = map(lambda row: map(lambda x: 1 if x == 'NA' else 0, row), Mna)
Mnew = map(lambda row: map(lambda x: 0 if x == 'NA' else x, row), Mna)
NAsToFill = custommath.dot(NAmat, diag(DecisionOutcomesRaw))
for row in range(len(Mnew)):
for i in range(len(Mnew[row])):
Mnew[row][i] = Mnew[row][i] + NAsToFill[row][i]
return (map(
lambda row: map(lambda x: custommath.Catch(x, Catchp), row), Mnew))
return (Mna)
def Factory(M0, Rep, CatchP=Decimal('0.1'), MaxRow=5000):
Rep = custommath.ReWeight(Rep)
Filled = FillNa(M0, Rep, CatchP)
PlayerInfo = GetRewardWeights(Filled, Rep, Decimal('0.1'))
AdjLoadings = PlayerInfo['FirstL']
#print('smoothrep: ' +str(PlayerInfo['SmoothRep']))#way wrong
#print('Filled: ' +str(Filled))
DecisionOutcomesRaw = custommath.dot([PlayerInfo['SmoothRep']], Filled)[0]
#print('raw outcomes: ' +str(DecisionOutcomesRaw))
DecisionOutcomeAdj = map(lambda x: custommath.Catch(x, CatchP),
DecisionOutcomesRaw)
Certainty = map(lambda x: 2 * (x - Decimal('0.5')), DecisionOutcomesRaw)
Certainty = map(abs, Certainty)
ConReward = custommath.GetWeight(Certainty)
Avg_Certainty = custommath.mean(Certainty)
DecisionOutcomeAdj = []
for i, raw in enumerate(DecisionOutcomesRaw):
DecisionOutcomeAdj.append(custommath.Catch(raw, CatchP))
DecisionOutcomeFinal = DecisionOutcomeAdj
NAmat = map(
lambda row: map(lambda x: 1
if type(x) in [str, unicode] else 0, row), M0)
a = custommath.dot([PlayerInfo['SmoothRep']], NAmat)[0]
ParticipationC = map(lambda x: 1 - x, a)
v = map(sum, NAmat)
ParticipationR = map(lambda x: 1 - x / Decimal(len(NAmat[0])), v)
PercentNA = 1 - custommath.mean(ParticipationC)
NAbonusR = custommath.GetWeight(ParticipationR)
def plus(a, b):
return a + b
RowBonus = map(plus, map(lambda x: x * PercentNA, NAbonusR),
map(lambda x: x * (1 - PercentNA), PlayerInfo['SmoothRep']))
NAbonusC = custommath.GetWeight(ParticipationC)
ColBonus = map(plus, map(lambda x: x * PercentNA, NAbonusC),
map(lambda x: x * (1 - PercentNA), ConReward))
namatsum = []
for i in range(len(NAmat[0])):
namatsum.append(sum(map(lambda x: x[i], NAmat)))
Output = {
'Original': M0,
'Filled': Filled,
'Agents': {
'OldRep': PlayerInfo['OldRep'], #[0],
'ThisRep': PlayerInfo['ThisRep'],
'SmoothRep': PlayerInfo['SmoothRep'],
'NArow': map(sum, NAmat), #.sum(axis=1).base,
'ParticipationR': ParticipationR, #.base,
'RelativePart': NAbonusR, #.base,
'RowBonus': RowBonus, #.base,
},
'Decisions': {
'First Loading': AdjLoadings,
'DecisionOutcomes_Raw': DecisionOutcomesRaw,
'Consensus Reward': ConReward,
'Certainty': Certainty,
'NAs Filled': namatsum, #NAmat.sum(axis=0),
'ParticipationC': ParticipationC,
'Author Bonus': ColBonus,
'DecisionOutcome_Final': DecisionOutcomeFinal,
},
'Participation': 1 - PercentNA,
'Certainty': Avg_Certainty,
}
return Output
