Files
polyhash2022/hashcode2022_V_group.py
T
2023-01-13 22:55:54 +00:00

456 lines
12 KiB
Python

from math import sqrt
import matplotlib.pyplot as plt
import os
def is_number(s):
try:
float(s)
return True
except ValueError:
pass
try:
import unicodedata
unicodedata.numeric(s)
return True
except (TypeError,ValueError):
pass
return False
def convertToFloat(DataSet):
for i in range(len(DataSet)):
for j in range(len(DataSet[i])):
if is_number(DataSet[i][j]):
DataSet[i][j] = float(DataSet[i][j])
return DataSet
def caculateDistance(a: list, b: tuple):
d = sqrt((a[0] - b[0])**2 + (a[1] - b[1])**2)
return d
def readLine(m = 0, n = 2, offset = 1):
global DataSet
lenth = int(DataSet[m][n])
line = []
for i in range(lenth):
line.append(DataSet[i + offset])
return line
class Person:
priority:float
def __init__(self, infomationLine):
self.name, self.score, self.weightOfGift, self.x_position, self.y_position = infomationLine
def getPosition(self):
return (self.x_position, self.y_position)
def getScore(self):
global Score
Score += self.score
def caculatePriority(self):
return self.score / (self.weightOfGift * caculateDistance([0,0], (self.x_position, self.y_position)))
class People:
info = []
def __init__(self):
global DataSet
line = readLine(m = 0, n = 3, offset = 1 + int(DataSet[0][2]))
for i in line:
self.info.append(Person(i))
def visualization(self):
x = []
y = []
for i in self.info:
x.append(i.x_position)
y.append(i.y_position)
plt.plot(x, y, 'o')
plt.show()
class Santa:
tableauDeDistribution = []
position = [0.0,0.0]
speed = [0.0,0.0]
weightOfCarrots:int = 0
weightOfGift:int = 0
def __init__(self):
global DataSet
self.timeLimit = int(DataSet[0][0])
self.deliveryDistanceLimit = int(DataSet[0][1])
self.speedLimitTable = readLine()
def getPosition(self):
return self.position
def getWeight(self):
return self.weightOfCarrots + self.weightOfGift
def nowSpeedLimit(self):
w = self.getWeight()
assert w >= 0
for i in range(len(self.speedLimitTable)):
if w < self.speedLimitTable[i][0]:
return self.speedLimitTable[i][1]
return 0
# DONE 此速度限制speedLimit为限制表不是当前限制,我们下一步要定义nowspeedLimit
def isAllowedBySpeedLimit(self, s):
return s <= self.nowSpeedLimit()
def consumeCarrot(self):
assert self.weightOfCarrots >= 1
self.weightOfCarrots -= 1
def AccUp(self, s):
if self.timeLimit>0:
assert self.isAllowedBySpeedLimit(s)
self.speed[1] += s
self.consumeCarrot()
print("AccUp",int(s), file=output)
else:
pass
def AccDown(self, s):
if self.timeLimit>0:
assert self.isAllowedBySpeedLimit(s)
self.speed[1] -= s
self.consumeCarrot()
print("AccDown",int(s), file=output)
else:
pass
def AccRight(self, s):
if self.timeLimit>0:
assert self.isAllowedBySpeedLimit(s)
self.speed[0] += s
self.consumeCarrot()
print("AccRight",int(s), file=output)
else:
pass
def AccLeft(self, s):
if self.timeLimit>0:
assert self.isAllowedBySpeedLimit(s)
self.speed[0] -= s
self.consumeCarrot()
print("AccLeft",int(s), file=output)
else:
pass
def LoadCarrots(self, w):
self.weightOfCarrots += w
def LoadGift(self, w):
self.weightOfGift += w
def DiliveryGift(self,p: Person):
if self.timeLimit >=0 and caculateDistance(self.getPosition(), p.getPosition()) <= self.deliveryDistanceLimit:
assert caculateDistance(self.getPosition(), p.getPosition()) <= self.deliveryDistanceLimit
self.weightOfGift -= p.weightOfGift
assert self.weightOfGift >= 0
p.getScore()
print("DeliverGift",p.name, file=output)
else:
pass
def Float(self, t:int = 1):
if (self.timeLimit - t) >=0:
self.position[0] += self.speed[0] * t
self.position[1] += self.speed[1] * t
self.timeLimit -= t
print("Float",int(t), file=output)
else:
self.timeLimit -= self.timeLimit
def getSituation(self):
print("Now position is:",self.position)
print("Now speed is:",self.speed)
print("Now timeLimit is:",self.timeLimit)
print("Now weightOfGift is:",self.weightOfGift)
print("Now weightOfCarrots is:",self.weightOfCarrots)
def generateTableauDeDistribution(self, pp: People):
self.tableauDeDistribution = sorted(pp.info, key=lambda x: x.caculatePriority(), reverse=True)
return self.tableauDeDistribution
def kidoneWay(self,x:int,p:Person):
v = self.nowSpeedLimit()
if isinstance(x/v,int) and x > 0 :
t = x/v
self.AccUp(v)
self.Float(t)
self.AccDown(v)
self.Float(1)
self.DiliveryGift(p)
v = self.nowSpeedLimit()
t = x/v
self.AccDown(v)
self.Float(t)
self.AccUp(v)
self.Float(1)
elif isinstance(x/v,int) and x < 0 :
t = abs(x)/v
self.AccDown(v)
self.Float(t)
self.AccUp(v)
self.Float(1)
self.DiliveryGift(p)
v = self.nowSpeedLimit()
t = abs(x)/v
self.AccUp(v)
self.Float(t)
self.AccDown(v)
self.Float(1)
elif x < v and x > 0 :
v = x
self.AccUp(v)
self.Float(1)
self.AccDown(v)
self.Float(1)
self.DiliveryGift(p)
v = self.nowSpeedLimit()
v = x
self.AccDown(v)
self.Float()
self.AccUp(v)
self.Float(1)
elif abs(x) < v and x < 0 :
v = abs(x)
self.AccDown(v)
self.Float(1)
self.AccUp(v)
self.Float(1)
self.DiliveryGift(p)
v = self.nowSpeedLimit()
v = abs(x)
self.AccUp(v)
self.Float(1)
self.AccDown(v)
self.Float(1)
elif x > v and x > 0 :
t = x//v
v1 = v - (x - t*v)
self.AccUp(v)
self.Float(t)
self.AccDown(v1)
self.Float()
self.AccDown(v - v1)
self.Float(1)
self.DiliveryGift(p)
v = self.nowSpeedLimit()
t = x//v
v1 = v - (x - t*v)
self.AccDown(v)
self.Float(t)
self.AccUp(v1)
self.Float(1)
self.AccUp(v - v1)
self.Float(1)
elif abs(x) > v and x < 0 :
t = abs(x)//v
v1 = v - (abs(x) - t*v)
self.AccDown(v)
self.Float(t)
self.AccUp(v1)
self.Float(1)
self.AccUp(v - v1)
self.Float(1)
self.DiliveryGift(p)
v = self.nowSpeedLimit()
t = abs(x)//v
v1 = v - (abs(x) - t*v)
self.AccUp(v)
self.Float(t)
self.AccDown(v1)
self.Float(1)
self.AccDown(v - v1)
self.Float(1)
else:
self.DiliveryGift(p)
def oneWay(self, p:Person):
if self.timeLimit >0:
self.LoadCarrots(12)
print("LoadCarrots 12", file=output)
self.LoadGift(p.weightOfGift)
print("LoadGift",p.name, file=output)
v = self.nowSpeedLimit()
if isinstance(p.x_position/v,int) and p.x_position > 0 :
t = p.x_position/v
self.AccRight(v)
self.Float(t)
self.AccLeft(v)
self.Float(1)
self.kidoneWay(p.y_position,p)
t = p.x_position/v
self.AccLeft(v)
self.Float(t)
self.AccRight(v)
self.Float(1)
elif isinstance(p.x_position/v,int) and p.x_position < 0:
t = abs(p.x_position)/v
self.AccLeft(v)
self.Float(t)
self.AccRight(v)
self.Float(1)
self.kidoneWay(p.y_position,p)
t = abs(p.x_position)/v
self.AccRight(v)
self.Float(t)
self.AccLeft(v)
self.Float(1)
elif p.x_position < v and p.x_position > 0 :
v = p.x_position
self.AccRight(v)
self.Float(1)
self.AccLeft(v)
self.Float(1)
self.kidoneWay(p.y_position,p)
v = p.x_position
self.AccLeft(v)
self.Float(1)
self.AccRight(v)
self.Float(1)
elif abs(p.x_position) < v and p.x_position < 0 :
v = abs(p.x_position)
self.AccLeft(v)
self.Float(1)
self.AccRight(v)
self.Float(1)
self.kidoneWay(p.y_position,p)
v = abs(p.x_position)
self.AccRight(v)
self.Float(1)
self.AccLeft(v)
self.Float(1)
elif p.x_position > v and p.x_position > 0 :
t = p.x_position//v
v1 = v - (p.x_position - t*v)
self.AccRight(v)
self.Float(t)
self.AccLeft(v1)
self.Float(1)
self.AccLeft(v - v1)
self.Float(1)
self.kidoneWay(p.y_position,p)
t = p.x_position//v
v1 = v - (p.x_position - t*v)
self.AccLeft(v)
self.Float(t)
self.AccRight(v1)
self.Float(1)
self.AccRight(v - v1)
self.Float(1)
elif abs(p.x_position) > v and p.x_position < 0 :
t = abs(p.x_position)//v
v1 = v - (abs(p.x_position) - t*v)
self.AccLeft(v)
self.Float(t)
self.AccRight(v1)
self.Float(1)
self.AccRight(v - v1)
self.Float(1)
self.kidoneWay(p.y_position,p)
t = abs(p.x_position)//v
v1 = v - (abs(p.x_position) - t*v)
self.AccRight(v)
self.Float(t)
self.AccLeft(v1)
self.Float(1)
self.AccLeft(v - v1)
self.Float(1)
elif p.x_position == 0 :
self.kidoneWay(p.y_position,p)
def line_prepender(f, line):
content = f.read()
f.seek(0, 0)
f.write(line.rstrip('\r\n') + '\n' + content)
File_Directory = 'DataSet/'
Output_File_Directory = 'Output/'
files = os.listdir(File_Directory)
out_files = os.listdir(Output_File_Directory)
for File_Name in files:
File_Path = File_Directory+File_Name
Output_File_Path = Output_File_Directory+File_Name.replace("in", "out")
DataSet = [line.strip().split() for line in open(File_Path, "r")]
DataSet = convertToFloat(DataSet)
Score:int = 0
s = Santa()
pp = People()
s.generateTableauDeDistribution(pp)
output = open(Output_File_Path, "w+")
try:
for i in s.generateTableauDeDistribution(pp):
s.oneWay(i)
except:
print("Error in this dataset", file=output)
else:
pass
def line_prepender(filename, line):
with open(filename, 'r+') as f:
content = f.read()
f.seek(0, 0)
f.write(line.rstrip('\r\n') + '\n' + content)
# count Action
for out_file in out_files:
Output_File_Path = Output_File_Directory + out_file
count = 0
with open(Output_File_Path, 'r') as fp:
for count, line in enumerate(fp):
pass
print(out_file, count + 1)
line_prepender(Output_File_Path, str(count+1))