Synched Work

Author: IDoUseLinux

awards.py

@@ -3,4 +3,4 @@ def __init__(self, awardname, awardlevel, awardplace):
         self.awardname = awardname
         self.awardlevel = awardlevel
         self.awardplace = awardplace
-        self.awardvalue = awardlevel*awardplace/2
+        self.awardValue = awardlevel*awardplace/2

clubs.py

@@ -3,4 +3,4 @@ def __init__(self, name, purpose, role) :
         self.name = name
         self.purpose = purpose
         self.role = role
-        self.clubvalue = purpose*role
+        self.clubValue = purpose*role/3

main.py

@@ -3,4 +3,4 @@ def __init__(self, name, position, totalMonths) :
         self.name = name
         self.position = position
         self.totalMonths = totalMonths
-        self.sportsValue = position * totalMonths
+        self.sportsValue = position * totalMonths / 4

sports.py

@@ -1 +1 @@
-You are a college consular that gives information to users about colleges that they should apply to. They should apply to schools that are within their capability but should also push them for a better education than most state schools. The colleges should be in the United States as that is the user's location.
+You are a college consular that gives information to users about colleges that they should apply to. They should apply to schools that are within their capability but should also push them for a better education than most state schools. The colleges should be in the United States as that is the user's location. Please keep responses short and concise. Do not write long responses.

systemprompt.txt

@@ -4,7 +4,7 @@
         "75_sat" : 1580,
         "50_sat" : 1550,
         "25_sat" : 1490,
-        "tags" : ["Ivy", "Medium", "Law", "Business"]
+        "tags" : ["Ivy", "Medium", "Law", "Business", "Medical"]
     },
     "Princeton University" : {
         "acc_rate" : 0.057,
@@ -67,21 +67,21 @@
         "75_sat" : 1570,
         "50_sat" : 1550,
         "25_sat" : 1530,
-        "tags" : ["Ivy-Adjacent", "Small", "Institute of Technology"]
+        "tags" : ["Ivy-Adjacent", "Small", "Tech"]
     },
     "Massachusetts Institute of Technology" : {
         "acc_rate" : 0.04,
         "75_sat" : 1580,
         "50_sat" : 1560,
         "25_sat" : 1530,
-        "tags" : ["Ivy-Adjacent", "Medium", "Institute of Technology", "Business"]
+        "tags" : ["Ivy-Adjacent", "Medium", "Tech", "Business"]
     },
     "Duke University" : {
         "acc_rate" : 0.063,
         "75_sat" : 1570,
         "50_sat" : 1550,
         "25_sat" : 1490,
-        "tags" : ["Ivy-Adjacent", "Medium", "Business"]
+        "tags" : ["Ivy-Adjacent", "Medium", "Business", "Sports"]
     },
     "Johns Hopkins University" : {
         "acc_rate" : 0.073,

tier1.json

@@ -4,7 +4,7 @@
         "75_sat" : 1550,
         "50_sat" : 1490,
         "25_sat" : 1460,
-        "tags" : ["UC System", "Large", "Public Ivy", "Business", "Art", "Music", "Tech"]
+        "tags" : ["UC System", "Large", "Public Ivy", "Business", "Art", "Music", "Tech", "Medical"]
     },
     "University of California, Berkeley" : {
         "acc_rate" : 0.116,
@@ -25,7 +25,7 @@
         "75_sat" : 1520,
         "50_sat" : 1440,
         "25_sat" : 1330,
-        "tags" : ["Medium"]
+        "tags" : ["Medium", "Sports"]
     },
     "New York University" : {
         "acc_rate" : 0.125,
@@ -39,7 +39,7 @@
         "75_sat" : 1570,
         "50_sat" : 1540,
         "25_sat" : 1490,
-        "tags" : ["Medium", "Institute of Technology"]
+        "tags" : ["Medium", "Tech"]
     },
     "University of Notre Dame" : {
         "acc_rate" : 0.13,
@@ -60,21 +60,21 @@
         "75_sat" : 1510,
         "50_sat" : 1420,
         "25_sat" : 1330,
-        "tags" : ["Large", "Institute of Technology"]
+        "tags" : ["Large", "Tech"]
     },
     "University of North Carolina, Chapel Hill" : {
         "acc_rate" : 0.17,
         "75_sat" : 1520,
         "50_sat" : 1460,
         "25_sat" : 1390,
-        "tags" : ["Large"]
+        "tags" : ["Large", "Sports"]
     },
     "Emory University" : {
         "acc_rate" : 0.11,
         "75_sat" : 1540,
         "50_sat" : 1510,
         "25_sat" : 1470,
-        "tags" : ["Medium"]
+        "tags" : ["Medium", "Medical"]
     },
     "University of Virgina" : {
         "acc_rate" : 0.19,
@@ -88,14 +88,14 @@
         "75_sat" : 1570,
         "50_sat" : 1540,
         "25_sat" : 1500,
-        "tags" : ["Medium"]
+        "tags" : ["Medium", "Medical"]
     },
     "University of Florida" : {
         "acc_rate" : 0.23,
         "75_sat" : 1450,
         "50_sat" : 1360,
         "25_sat" : 1320,
-        "tags" : ["Large"]
+        "tags" : ["Large", "Sports"]
     },
     "University of California, Irvine" : {
         "acc_rate" : 0.21,

tier2.json

@@ -32,7 +32,7 @@
         "75_sat" : 1450,
         "50_sat" : 1340,
         "25_sat" : 1260,
-        "tags" : ["CSU System", "Large", "Institute of Technology"]
+        "tags" : ["CSU System", "Large", "Tech"]
     },
     "University of Rochester" : {
         "acc_rate" : 0.39,
@@ -46,7 +46,7 @@
         "75_sat" : 1520,
         "50_sat" : 1470,
         "25_sat" : 1410,
-        "tags" : ["Medium"]
+        "tags" : ["Medium", "Medical"]
     },
     "Florida State University" : {
         "acc_rate" : 0.25,

tier3.json

@@ -18,21 +18,21 @@
         "75_sat" : 1390,
         "50_sat" : 1290,
         "25_sat" : 1180,
-        "tags" : ["Large", "Institute of Technology"]
+        "tags" : ["Large", "Tech"]
     },
     "DigiPen Institute of Technology" : {
         "acc_rate" : 0.66,
         "75_sat" : 1390,
         "50_sat" : 1280,
         "25_sat" : 1170,
-        "tags" : ["Small", "Institute of Technology"]
+        "tags" : ["Small", "Tech"]
     },
     "Rochester Institute of Technology" : {
         "acc_rate" : 0.672,
         "75_sat" : 1430,
         "50_sat" : 1350,
         "25_sat" : 1280,
-        "tags" : ["Large", "Institute of Technology"]
+        "tags" : ["Large", "Tech"]
     },
     "Rutgers University, New Brunswick" : {
         "acc_rate" : 0.66,
@@ -60,6 +60,6 @@
         "75_sat" : 1430,
         "50_sat" : 1340,
         "25_sat" : 1270,
-        "tags" : ["Large"]
+        "tags" : ["Large", "Medical", "Sports"]
     }
 }

tier4.json

@@ -46,6 +46,6 @@
         "75_sat" : 1310,
         "50_sat" : 1230,
         "25_sat" : 1140,
-        "tags" : ["Large"]
+        "tags" : ["Large", "Sports"]
     }
 }

tier5.json

@@ -1,3 +1,12 @@
 class university :
+
     def __init__(self, name, acc_rate, tier, sat75, sat50, sat25, tags) :
-        pass
+        self.name = name
+        self.acc_rate = acc_rate
+        self.tier = tier ## Tiers are reversed in this, a tier 1 is a tier 5 which gives the most score
+        self.sat75 = sat75
+        self.sat50 = sat50
+        self.sat25 = sat25
+        self.tags = tags
+
+        self.universityDifficulty = (1-self.acc_rate)*10*tier+sat50/40