def test_itter(self):
l1 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
l2 = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
m4 = Matrix("m0", 10, 10, 0.5, 0.01, [], l1, l2)
m4.makeMatrix()
updater3 = MatrixUpdater(10, [])
updater3.itter(m4)
def test_place_avatar(self):
m1 = Matrix("m1", 2, 2, 0, 0)
m3 = Matrix("m3", 2, 2, 0, 0)
c1 = Cell(0, 0, 0, 0, 0, 0)
print(m1)
cellLis = [c1, c1]
finalLis = [cellLis, cellLis]
m1.makeMatrix()
m3.makeMatrix()
def test_probabilities(self):
m2 = Matrix("m2", 2, 2, 1, 0.99, [], [5, 3], [5, 3])
m2.makeMatrix()
m2.initiateProbs()
cell1 = m2.getL2()[0][0]
self.assertEqual(cell1.getProb(), 0.25)
def test_place_wrong_avatar_tile(self):
m2 = Matrix("m2", 2, 2, 0, 0)
print(m2)
m2.makeMatrix()
m2.initiateProbs()
cell1 = m2.getL2()[0][0]
self.assertEqual(cell1.getProb(), 0.25)
def import_excel(self, import_path: str):
df = pandas.read_excel(import_path)
cols = df["columns"].tolist()
col = int(cols[0])
rows = df["rows"].tolist()
row = int(rows[0])
epsilon = df["epsilon"].tolist()
eps = float(epsilon[0])
delts = df["delta"].tolist()
delt = float(delts[0])
its = df["iterations"].tolist()
iters = int(its[0])
p1 = df["p1weights"].tolist()
p2 = df["p2weights"].tolist()
pays = df["payoffs"].tolist()
#print(pays)
x = 0
y = 0
l2 = []
while x < row:
z = 0
rs = []
while z < col:
strs = str(pays[y]).split(",")
p1s = float(strs[0])
p2s = float(strs[1])
print(strs)
print(p1s)
print(p2s)
rs.append(Cell(p1s, p2s, 0, 0, 0))
y += 1
z += 1
l2.append(rs)
x += 1
m1 = Matrix("M1", col, row, eps, delt, l2, p1, p2)
updater = MatrixUpdater(iters, [])
updater.itter(m1)
return updater
def test_initialize(self):
m1 = Matrix("m1", 2, 2, 0, 0, [], [5, 3], [5, 3])
print(m1)
m1.makeMatrix()
from tkinter import filedialog, CENTER, NW, HORIZONTAL
from tkinter.ttk import Progressbar
from PIL import ImageTk, Image
from colour import Color
from Controler.ExcelController import ExcelController
from model.MatrixUpdater import MatrixUpdater
from model.Matrix import Matrix
from model.Cell import Cell
# Some important variables
l1 = []
l2 = []
updaterList = []
m4 = Matrix("m0", 0, 0, 0, 0, [], l1, l2)
mUpdater = MatrixUpdater(10, updaterList)
root = tk.Tk()
height = 1500
width = 1500
heightMap = 500
widthMap = 500
canvas = tk.Canvas(root, height=height, width=width)
# legend for heat map
global img
scalePath = "/Users/shefalisingh/Desktop/phil_2001_python/Roth-Reinfocement-Project-Alex-and" \
"-Shefali/view/scalelegend.jpeg"
img = Image.open(scalePath)