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computeindex.py
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######################################
############ RPD indexes #############
######################################
######################################
# If any question please contact
# the author of the code
######################################
import sys
import array
import datetime
sampleValue = []
def isAworstThanB(A, B):
isAltB = None
if A < B:
isAltB = True
if A > B:
isAltB = False
return isAltB
def RPDlep(elements):
index = 0
positive = []
negative = []
comparisionPositive = 0
comparisionNegative = 0
comparisionTot = 0
for idx in range(1, len(elements)):
comparisionTot = comparisionTot + 1
value = abs(elements[idx - 1] - elements[idx])
improve = isAworstThanB(elements[idx - 1], elements[idx])
if improve is not None: # not neutral condition
if improve:
comparisionPositive = comparisionPositive + 1
positive.append(value)
if not improve:
comparisionNegative = comparisionNegative + 1
negative.append(value)
P = 0
for idx in range(len(positive)):
P = P + positive[idx]
Ptot = (comparisionPositive / comparisionTot) * P
N = 0
for idx in range(len(negative)):
N = N + negative[idx]
Ntot = (comparisionNegative / comparisionTot) * N
if (Ptot + Ntot) > 0:
index = (Ptot - Ntot) / (Ptot + Ntot)
return index
def RPDlea(elements):
index = 0
positive = []
negative = []
comparisionPositive = 0
comparisionNegative = 0
comparisionTot = 0
for idx in range(1, len(elements)):
comparisionTot = comparisionTot + 1
value = abs(elements[idx - 1] - elements[idx])
improve = isAworstThanB(elements[idx - 1], elements[idx])
if improve is not None: # not neutral condition
if improve:
comparisionPositive = comparisionPositive + 1
element = value * comparisionPositive / comparisionTot
positive.append(element)
if not improve:
comparisionNegative = comparisionNegative + 1
element = value * comparisionNegative / comparisionTot
negative.append(element)
Ptot = 0
for idx in range(len(positive)):
Ptot = Ptot + positive[idx]
Ntot = 0
for idx in range(len(negative)):
Ntot = Ntot + negative[idx]
if (Ptot + Ntot) > 0:
index = (Ptot - Ntot) / (Ptot + Ntot)
return index
def RPDlepr(elements):
index = 0
positive = []
negative = []
comparisionPositive = 0
comparisionNegative = 0
comparisionTot = 0
for idx in range(len(elements) - 1, 0, -1):
comparisionTot = comparisionTot + 1
value = abs(elements[idx - 1] - elements[idx])
improve = isAworstThanB(elements[idx - 1], elements[idx])
if improve is not None: # not neutral condition
if improve:
comparisionPositive = comparisionPositive + 1
element = value * comparisionPositive / comparisionTot
positive.append(element)
if not improve:
comparisionNegative = comparisionNegative + 1
element = value * comparisionNegative / comparisionTot
negative.append(element)
Ptot = 0
for idx in range(0, len(positive)):
Ptot = Ptot + positive[idx]
Ntot = 0
for idx in range(0, len(negative)):
Ntot = Ntot + negative[idx]
if (Ptot + Ntot) > 0:
index = (Ptot - Ntot) / (Ptot + Ntot)
return index
def RPDgep(elements):
index = 0
positive = []
negative = []
comparisionPositive = 0
comparisionNegative = 0
comparisionTot = 0
for idx in range(0, len(elements) - 1):
for idxOther in range(idx + 1, len(elements)):
comparisionTot = comparisionTot + 1
value = abs(elements[idx] - elements[idxOther])
improve = isAworstThanB(elements[idx], elements[idxOther])
if improve is not None: # not neutral condition
if improve:
comparisionPositive = comparisionPositive + 1
positive.append(value)
if not improve:
comparisionNegative = comparisionNegative + 1
negative.append(value)
P = 0
for idx in range(len(positive)):
P = P + positive[idx]
Ptot = (comparisionPositive / comparisionTot) * P
N = 0
for idx in range(len(negative)):
N = N + negative[idx]
Ntot = (comparisionNegative / comparisionTot) * N
if (Ptot + Ntot) > 0:
index = (Ptot - Ntot) / (Ptot + Ntot)
return index
def RPDgea(elements):
index = 0
positiveGroup = []
negativeGroup = []
for idx in range(1, len(elements)):
comparisionTot = 0
positive = []
negative = []
comparisionPositive = 0
comparisionNegative = 0
for idxOther in range(0, idx):
# value=elements[idx]-elements[idxOther]
comparisionTot = comparisionTot + 1
value = abs(elements[idx] - elements[idxOther])
# if the last (the head) is better than the previous...
improve = isAworstThanB(elements[idxOther], elements[idx])
if improve is not None: # not neutral condition
if improve:
comparisionPositive = comparisionPositive + 1
positive.append(value)
if not improve:
comparisionNegative = comparisionNegative + 1
negative.append(value)
PtmpTot = 0
for idx in range(0, len(positive)):
PtmpTot = PtmpTot + positive[idx]
NtmpTot = 0
for idx in range(0, len(negative)):
NtmpTot = NtmpTot + negative[idx]
positiveGroup.append(PtmpTot * comparisionPositive / comparisionTot)
negativeGroup.append(NtmpTot * comparisionNegative / comparisionTot)
Ptot = 0
for idx in range(0, len(positiveGroup)):
Ptot = Ptot + positiveGroup[idx]
Ntot = 0
for idx in range(0, len(negativeGroup)):
Ntot = Ntot + negativeGroup[idx]
if (Ptot + Ntot) > 0:
index = (Ptot - Ntot) / (Ptot + Ntot)
return index
def RPDgepr(elements):
index = 0
positiveGroup = []
negativeGroup = []
for idx in range(len(elements) - 2, -1, -1):
comparisionTot = 0
positive = []
negative = []
comparisionPositive = 0
comparisionNegative = 0
for idxOther in range(idx + 1, len(elements), +1):
comparisionTot = comparisionTot + 1
value = abs(elements[idx] - elements[idxOther])
# x o -- x o o -- x o o o
improve = isAworstThanB(elements[idx], elements[idxOther])
if improve is not None: # not neutral condition
if improve:
comparisionPositive = comparisionPositive + 1
positive.append(value)
if not improve:
comparisionNegative = comparisionNegative + 1
element = abs(value)
negative.append(value)
PtmpTot = 0
for idx in range(0, len(positive)):
PtmpTot = PtmpTot + positive[idx]
NtmpTot = 0
for idx in range(0, len(negative)):
NtmpTot = NtmpTot + negative[idx]
if comparisionTot > 0:
positiveGroup.append(PtmpTot * comparisionPositive / comparisionTot)
negativeGroup.append(NtmpTot * comparisionNegative / comparisionTot)
Ptot = 0
for idx in range(0, len(positiveGroup)):
Ptot = Ptot + positiveGroup[idx]
Ntot = 0
for idx in range(0, len(negativeGroup)):
Ntot = Ntot + negativeGroup[idx]
if (Ptot + Ntot) > 0:
index = (Ptot - Ntot) / (Ptot + Ntot)
return index
# for line in sys.stdin:
# sampleValue.append(float(line.rstrip('\n')))
#
#
# for idx in range(0,len(sampleValue)):
# print(sampleValue[idx])
# sampleValue=list(reversed([-1,-2,-4,-6]))
# sampleValue=list(reversed([1,2,4,6]))
# sampleValue=[1,1,1,1]
# sampleValue=[0.0183179687636068,0.66165806279797,1,6.51487788578436e-10]
#
# # chiamata funzioni
# print("RPDlep START")
# print(datetime.datetime.now())
# v=RPDlep(sampleValue)
# print("RPDlep STOP")
# print(datetime.datetime.now())
# print(v)
# print("-----")
#
# print("RPDlea START")
# print(datetime.datetime.now())
# v=RPDlea(sampleValue)
# print("RPDlea STOP")
# print(datetime.datetime.now())
# print(v)
# print("-----")
#
# print("RPDlepr START")
# print(datetime.datetime.now())
# v=RPDlepr(sampleValue)
# print("RPDlepr STOP")
# print(datetime.datetime.now())
# print(v)
# print("-----")
#
# print("RPDgep START")
# print(datetime.datetime.now())
# v=RPDgep(sampleValue)
# print("RPDgep STOP")
# print(datetime.datetime.now())
# print(v)
# print("-----")
#
# print("RPDgea START")
# print(datetime.datetime.now())
# v=RPDgea(sampleValue)
# print("RPDgea STOP")
# print(datetime.datetime.now())
# print(v)
# print("-----")
#
# print("RPDgepr START")
# print(datetime.datetime.now())
# v=RPDgepr(sampleValue)
# print("RPDgepr STOP")
# print(datetime.datetime.now())
# print(v)