# Main def main(): # Build the window window.init() # Get the window current_window = window.get() # Apply the icons window.icons(current_window) # Launch if __name__ == '__main__': # Create the workflow main() # Load settings settings.init() # Build the menu menu.init() # Start events events.start() # Enables PNG alpha support glEnable(GL_BLEND) glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA) # Run app! pyglet.app.run()
# main.py import src.settings as settings import src.submodule as submodule settings.init() # Call only once submodule.stuff() # Do stuff with global var print(settings.myList[0]) # Check the result
import math
import numpy as np
from src import settings
from src.gridworld import evaluate, improve, update_value_greedy, get_policy_from_state_value_function
from src.plot import plotv, plotpi
settings.init() # set num_observations global variable
gamma = 0.90
theta = math.pow(10, -5)
possible_actions = [1, 2, 3, 4]
states = np.array([i for i in range(0, 25)])
# initial state values: all zeros
V = np.zeros(25)
while True:
old_V = np.copy(V)
for s in states:
v = V[s]
V[s] = update_value_greedy(s, possible_actions, old_V, gamma)
# return true if every element in V and old_V are closer than THETA
# to each other.
if np.allclose(old_V, V, rtol=0, atol=theta):
break
policy = get_policy_from_state_value_function(V, possible_actions, gamma)
import math
import numpy as np
from src import settings
from src.gridworld import evaluate,improve,update_value_greedy,get_policy_from_state_value_function
from src.plot import plotv,plotpi
settings.init() # set num_observations global variable
gamma = 0.90
theta = math.pow(10,-5)
possible_actions = [1,2,3,4]
states = np.array([i for i in range(0,25)])
# initial state values: all zeros
V = np.zeros(25)
while True:
old_V = np.copy(V)
for s in states:
v = V[s]
V[s] = update_value_greedy(s,possible_actions,old_V,gamma)
# return true if every element in V and old_V are closer than THETA
# to each other.
if np.allclose(old_V,V,rtol=0,atol=theta):
break
policy = get_policy_from_state_value_function(V,possible_actions,gamma)
import copy
import math
import random
import src.TileLogic as TL
import src.settings as sett
import src.character_sprite as character_sprite
import src.character as Char
import src.pathfinder as pf
pygame.init()
pygame.mixer.init()
sett.init()
def logic_tile_init():
logic_tiles = []
for i in range(sett.nb_tiles_h):
logic_tiles.append([])
for j in range(sett.nb_tiles_w):
logic_tiles[i].append(TL.TileLogic((i, j)))
prev_cursor_pos = [0, 0]
cursor_pos = [0, 0]
logic_tiles[cursor_pos[0]][cursor_pos[1]].is_cursor = True
for i in range(int(sett.nb_tiles_h*sett.nb_tiles_w*0.5)):
rh = random.randint(0, sett.nb_tiles_h-1)
rw = random.randint(0, sett.nb_tiles_w-1)
logic_tiles[rh][rw].cost += 1
programGui.start_app()
program_version = '3.2'
'''
if isUpToDate('./README.MD', "https://raw.githubusercontent.com/Eugenio-Pozzobon/Formula-UFSM-Data-Analysis/master/README.MD") == False:
if programGui.get_update_preference():
update('./README.MD', "https://raw.githubusercontent.com/Eugenio-Pozzobon/Formula-UFSM-Data-Analysis/master/README.MD")
'''
# enable RAM cleaner
gc.enable()
# get program settings
settings.init()
# check if user has license
if lic.checkLicense():
# get user mode selection
# run
if programGui.getuserselection() == 'wcu':
wcuScreen.runwcu()
if programGui.getuserselection() == 'ncu':
ncuOpenLOGfile.parseLogFile()
if programGui.getuserselection() == 'log':
ncuOpenReport.startNCU() # file selection and descompression
ncuOpenReport.runLogAnalysis() # file analysis
else:
