Initial commit

data/east_england.csv

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+Conservative,1690813,50
+Labour,1012359,7
+Liberal Democrat,224064,1
+UKIP,77793,0
+Green,58684,0

data/east_midlands.csv

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+Conservative,1195983,31
+Labour,952295,15
+Liberal Democrat,101612,0
+UKIP,56358,0
+Green,34355,0

data/london.csv

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+Labour,2087010,49
+Conservative,1268800,21
+Liberal Democrat,336680,3
+Green,67579,0
+UKIP,49369,0

data/north_east_england.csv

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+Labour,709838,26
+Conservative,440613,3
+Liberal Democrat,58409,0
+UKIP,49348,0
+Green,16080,0

data/north_west_england.csv

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+Labour,1972682,54
+Conservative,1301562,20
+Liberal Democrat,193197,1
+UKIP,68946,0
+Green,39169,0

data/northern_ireland.csv

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+DUP,292316,10
+Sinn Fein,238915,7
+SDLP,95419,0
+UUP,83280,0
+Alliance,64553,0
+Green,7452,0
+TUV,3282,0

data/scotland.csv

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+Scottish National Party,977569,35
+Conservative,757949,13
+Labour,717007,7
+Liberal Democrat,179061,4
+Green,5886,0
+UKIP,5302,0

data/south_east_england.csv

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+Conservative,2529574,72
+Labour,1326279,8
+Liberal Democrat,487243,2
+Green,145171,1
+UKIP,103509,0
+Speaker,11283,1

data/south_west_england.csv

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+Conservative,1539618,47
+Labour,870561,7
+Liberal Democrat,446181,1
+Green,66176,0
+UKIP,32944,0

data/uk.csv

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+Conservative,12344901,317
+Labour,11390099,262
+Liberal Democrat,2121801,12
+Scottish National Party,977568,35
+UKIP,594068,0
+Green,512327,1
+DUP,292316,10
+Sinn Fein,238915,7
+Plaid Cymru,164466,4
+Independent,151471,1
+SDLP,95419,0
+UUP,83280,0
+Alliance,64533,0
+Speaker,34299,0
+Yorkshire Party,20958,0

data/wales.csv

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+Labour,771354,28
+Conservative,528839,8
+Plaid Cymru,164466,4
+Liberal Democrat,71039,0
+UKIP,31376,0
+Green,5128,0

data/west_midlands.csv

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+Conservative,1355468,35
+Labour,1175075,24
+Liberal Democrat,122287,0
+UKIP,50106,0
+Green,45208,0

data/yorkshire_humber.csv

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+Labour,1275800,37
+Conservative,1054099,17
+Liberal Democrat,129637,0
+UKIP,67801,0
+Green,32743,0

main.py

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+from party import Party
+from region import Region
+
+def main():
+	east_england = Region("East of England", "data/east_england.csv", 35, 23)
+	east_midlands = Region("East Midlands", "data/east_midlands.csv", 28, 18)
+	london = Region("London", "data/london.csv", 41, 32)
+	north_east_england = Region("North East England", "data/north_east_england.csv", 19, 10)
+	north_west_england = Region("North West England", "data/north_west_england.csv", 47, 28)
+	northern_ireland = Region("Northern Ireland", "data/northern_ireland.csv", 11, 7)
+	scotland = Region("Scotland", "data/scotland.csv", 37, 22)
+	south_east_england = Region("South East England", "data/south_east_england.csv", 50, 34)
+	south_west_england = Region("South West England", "data/south_west_england.csv", 34, 21)
+	wales = Region("Wales", "data/wales.csv", 28, 12)
+	west_midlands = Region("West Midlands", "data/west_midlands.csv", 37, 22)
+	yorkshire_humber = Region("Yorkshire and the Humber", "data/yorkshire_humber.csv", 33, 21)
+
+	regions = []
+	regions.append(east_england)
+	regions.append(east_midlands)
+	regions.append(london)
+	regions.append(north_east_england)
+	regions.append(north_west_england)
+	regions.append(northern_ireland)
+	regions.append(scotland)
+	regions.append(south_east_england)
+	regions.append(south_west_england)
+	regions.append(wales)
+	regions.append(west_midlands)
+	regions.append(yorkshire_humber)
+
+	computedRegions = []
+	for x in regions:
+		computed = x.convertToAMS()
+		computedRegions.append(computed)
+		print(x.getName())
+		for y in computed:
+			print(y[0] + "\t" + "Constituency MPs: " + str(y[1]) + "   List MPs: " + str(y[2]))
+		print()
+	computeUKWide(computedRegions)
+
+def computeUKWide(computedValues):
+	isEmptyList = False
+	print("United Kingdom")
+	while(not isEmptyList):
+		conMP = 0
+		listMP = 0
+		party = computedValues[0][0][0]
+		for x in computedValues:
+			values = list(filter(lambda y: y[0] == party, x))
+			if(len(values) > 0):
+				conMP += values[0][1]
+				listMP += values[0][2]
+		print(party + "\t" + "Constituency MPs: " + str(conMP) + "   List MPs: " + str(listMP))
+
+		newComputedValues = []
+		for x in computedValues:
+			values = list(filter(lambda y: y[0] != party, x))
+			if(len(values) > 0):
+				newComputedValues.append(values)
+		if len(newComputedValues) > 0:
+			computedValues = newComputedValues
+		else:
+			isEmptyList = True
+
+if __name__ == "__main__":
+	main()

party.py

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+class Party:
+	conMP = 0
+	listMP = 0
+
+	def __init__(self, name, vote, conOld):
+		self.name = name
+		self.vote = vote
+		self.conOld = conOld
+
+	def getName(self):
+		return self.name
+
+	def getVote(self):
+		return self.vote
+
+	def getConOld(self):
+		return self.conOld
+
+	def getConstituencyMP(self):
+		return self.conMP
+
+	def getListMP(self):
+		return self.listMP
+
+	def setConstituencyMP(self, conMP):
+		self.conMP = conMP
+
+	def addListMP(self):
+		self.listMP += 1

region.py

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+from party import Party
+import csv
+import math
+import copy
+
+class Region:
+
+	def __init__(self, name, file, conMPs, listMPs):
+		self.name = name
+		self.file = file
+		self.conMPs = conMPs
+		self.listMPs = listMPs
+		self.parties = []
+		self.readFile()
+
+	def getName(self):
+		return self.name
+
+	def addParty(self, party):
+		self.parties.append(party)
+
+	def readFile(self):
+		with open(self.file) as csvfile:
+			reader = csv.reader(csvfile, delimiter=',')
+			lineCount = 0
+			for row in reader:
+				self.addParty(Party(row[0], int(row[1]), int(row[2])))
+
+	def convertToAMS(self):
+		allVotes = 0
+		leftOverMPs = self.conMPs
+		newConMPs = []
+
+		for x in range(0, len(self.parties)):
+			allVotes += self.parties[x].getVote()
+			newConMPs.append(math.floor(self.parties[x].getConOld() / float(self.conMPs + self.listMPs) * self.conMPs))
+			leftOverMPs -= newConMPs[x]
+
+		votes = list(map(lambda x: x.getVote(), self.parties))
+		if(leftOverMPs > 0):
+			newConMPs = self.dHondtConMethod(leftOverMPs, newConMPs, votes)
+
+		newListMPs = self.dHondtListMethod(self.listMPs, copy.copy(newConMPs), votes)
+		newMPs = [sum(x) for x in zip(newConMPs, newListMPs)]
+		return list(zip(map(lambda x: x.getName(), self.parties), newConMPs, newListMPs))
+
+	def dHondtConMethod(self, seatsLeft, seats, votes):
+		while (seatsLeft > 0):
+			maxValue = -1
+			seatToAdd = 0
+			for x in range(0, len (seats)):
+				if(seats[x] > 0 and (votes[x] / (seats[x] + 1)) > (votes[seatToAdd] / (seats[seatToAdd] + 1))):
+					seatToAdd = x
+			seats[seatToAdd] += 1
+			seatsLeft -= 1
+		return seats
+
+	def dHondtListMethod(self, seatsLeft, seats, votes):
+		newListMPs = [0] * len(votes)
+		# Whilst there are seats to assign, check values
+		while (seatsLeft > 0):
+			maxValue = -1
+			seatToAdd = 0
+			# For each set for values, compare the D'Hondt value to the current maximum
+			for x in range(0, len (seats)):
+				if(votes[x] / (seats[x] + 1)) > (votes[seatToAdd] / (seats[seatToAdd] + 1)):
+					seatToAdd = x
+			newListMPs[seatToAdd] += 1
+			seats[seatToAdd] += 1
+			seatsLeft -= 1
+		return newListMPs