Automatically generate results

Output/a_an_example.out.txt

@@ -0,0 +1,37 @@
+36
+LoadCarrots 12
+LoadGift Liam
+AccRight 6
+Float 1
+AccLeft 4
+Float 1
+AccLeft 2
+Float 1
+AccUp 4
+Float 1
+AccDown 4
+Float 1
+DeliverGift Liam
+AccDown 4
+Float 1
+AccUp 4
+Float 1
+AccLeft 6
+Float 1
+AccRight 4
+Float 1
+AccRight 2
+Float 1
+LoadCarrots 12
+LoadGift Emma
+AccLeft 6
+Float 1
+AccRight 2
+Float 1
+AccRight 4
+Float 1
+AccUp 1
+Float 1
+AccDown 1
+Float 1
+DeliverGift Emma

Output/d_decorated_houses.out.txt

@@ -0,0 +1 @@
+1

hashcode2022_V_group.py

@@ -1,28 +1,6 @@
-# -*- coding: utf-8 -*-
-"""HashCode2022_BUG.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/1PiwWB2bonQgoAGp6woFuJhFi2qq0_aj7
-"""
-
-from google.colab import drive
-drive.mount('/content/drive')
-
 from math import sqrt
 import matplotlib.pyplot as plt
-import numpy as np
 import os
-import math
-
-File_Directory = 'drive/MyDrive/polyhash/DataSet/'
-File_Name = 'f_festive_flyover.in.txt'
-File_Path = File_Directory+File_Name
-
-DataSet = [line.strip().split() for line in open(File_Path, "r")]
-
-Score:int = 0
 
 def is_number(s):
     try:
@@ -45,12 +23,6 @@ def convertToFloat(DataSet):
                 DataSet[i][j] = float(DataSet[i][j])
     return DataSet
 
-
-
-# convert data-set to float 
-DataSet = convertToFloat(DataSet)
-
-
 def caculateDistance(a: list, b: tuple):
     d = sqrt((a[0] - b[0])**2 + (a[1] - b[1])**2)
     return d
@@ -115,7 +87,6 @@ class Santa:
     def getWeight(self):
         return self.weightOfCarrots + self.weightOfGift
 
-#[[2000.0, 20.0], [3000.0, 15.0], [5000.0, 10.0], [6000.0, 9.0], [7000.0, 8.0]]
     def nowSpeedLimit(self):
         w = self.getWeight()
         assert w >= 0
@@ -138,7 +109,7 @@ class Santa:
           assert self.isAllowedBySpeedLimit(s)
           self.speed[1] += s
           self.consumeCarrot()
-          print("AccUp",int(s))
+          print("AccUp",int(s), file=output)
         else:
           pass
     def AccDown(self, s):
@@ -146,7 +117,7 @@ class Santa:
           assert self.isAllowedBySpeedLimit(s)
           self.speed[1] -= s
           self.consumeCarrot()
-          print("AccDown",int(s))
+          print("AccDown",int(s), file=output)
         else:
           pass
     def AccRight(self, s):
@@ -154,7 +125,7 @@ class Santa:
           assert self.isAllowedBySpeedLimit(s)
           self.speed[0] += s
           self.consumeCarrot()
-          print("AccRight",int(s))
+          print("AccRight",int(s), file=output)
         else:
           pass
     def AccLeft(self, s):
@@ -162,7 +133,7 @@ class Santa:
           assert self.isAllowedBySpeedLimit(s)
           self.speed[0] -= s
           self.consumeCarrot()
-          print("AccLeft",int(s))
+          print("AccLeft",int(s), file=output)
         else:
           pass
 
@@ -177,7 +148,7 @@ class Santa:
           self.weightOfGift -= p.weightOfGift
           assert self.weightOfGift >= 0
           p.getScore()
-          print("DeliverGift",p.name)
+          print("DeliverGift",p.name, file=output)
         else:
           pass
 
@@ -186,7 +157,7 @@ class Santa:
           self.position[0] += self.speed[0] * t
           self.position[1] += self.speed[1] * t
           self.timeLimit -= t
-          print("Float",int(t))
+          print("Float",int(t), file=output)
         else:
           self.timeLimit -= self.timeLimit
 
@@ -320,9 +291,9 @@ class Santa:
     def oneWay(self, p:Person):
         if self.timeLimit >0:
           self.LoadCarrots(12)
-          print("LoadCarrots 12")
+          print("LoadCarrots 12", file=output)
           self.LoadGift(p.weightOfGift)
-          print("LoadGift",p.name)
+          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
@@ -429,22 +400,56 @@ class Santa:
           elif p.x_position == 0 :
             self.kidoneWay(p.y_position,p)
 
-s = Santa()
 
-s.speedLimitTable
 
-pp = People()
+def line_prepender(f, line):
+    content = f.read()
+    f.seek(0, 0)
+    f.write(line.rstrip('\r\n') + '\n' + content)
 
-pp.info[0]
 
-pp.visualization()
+File_Directory = 'DataSet/'
+Output_File_Directory = 'Output/'
+files = os.listdir(File_Directory)
+out_files = os.listdir(Output_File_Directory)
 
-s.generateTableauDeDistribution(pp)
+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)
 
-for i in s.generateTableauDeDistribution(pp):
+    Score:int = 0
-    s.oneWay(i)
+    s = Santa()
+    pp = People()
+    s.generateTableauDeDistribution(pp)
 
-s.getSituation()
 
-Score
+    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))