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drobne modyfikacje kodu oraz komentarze

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tomasz 2020-05-12 20:39:36 +02:00
parent 162c9394a7
commit 97b64f4f02
31 changed files with 715 additions and 22 deletions
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12
AStar.py
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@ -16,8 +16,8 @@ class AStar:
result[path[i][0]][path[i][1]] = startValue
startValue+=1
return result
def search(self, start, end, grid, cost):
######################################################### w current jest koszt do przebycia
def search(self, start, end, grid, cost): #start to kordy wózka, end miejsce podjęcia paczki
noRows, noColumns = numpy.shape(grid)
startNode = AStarState(None, tuple(start))
endNode = AStarState(None, tuple(end))
@ -46,10 +46,11 @@ class AStar:
visited.append(current)
toVisit.pop(currentIndeks)
if current==endNode:
return self.returnPath(current, grid)
return self.returnPath(current, grid) #zwracanie wagi przejscia
children = []
for new in moves:
positions = (current.position[0]+new[0], current.position[1]+new[1])
if (positions[0] > (noRows - 1) or
positions[0] < 0 or
positions[1] > (noColumns - 1) or
@ -57,16 +58,21 @@ class AStar:
continue
if grid[positions[0]][positions[1]]!=0:
continue
children.append(AStarState(current, positions))
for child in children:
if len([visitedChild for visitedChild in visited if visitedChild==child])>0:
continue
if child.position[0]<=(len(grid)-4) and child.position[0]>=3 and child.position[1]>=4 and child.position[1]<=(len(grid[0])-1):
child.g = current.g + (10 * cost)
else:
child.g = current.g + cost
child.h = (((child.position[0]-endNode.position[0]) ** 2) + ((child.position[1]-endNode.position[1]) ** 2))
child.f = child.g + child.h
if len([i for i in toVisit if child==i and child.g>i.g])>0:
continue
toVisit.append(child)

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6
Mapa/generate.py
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@ -168,9 +168,13 @@ class Generate:
all[wysokosc-2][szerokosc-2] = 1
all[0][2] = 2
all[1][2] = 2
#zmiana miejsca zrzutu paczki, unboxOnTheFloor
#all[1][4] = 2
#all[0][4] = 23
#all[1][5] = 1
all[wysokosc-2][szerokosc-3] = 2
all[wysokosc-1][szerokosc-3] = 23
all[wysokosc-2][szerokosc-4] = 1
return all
x = Generate.generate(8, 9, 1, 1, 1, 1)
#x = Generate.generate(8, 9, 1, 1, 1, 1)

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6
genetyczny/Data.py
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@ -0,0 +1,6 @@
class Data:
def __init__(self):
pass

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11
genetyczny/metody.py
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@ -0,0 +1,11 @@
from Mapa.shelf import Shelf
from wheel import Wheel
def RandomBox(shelfs_, mapa_):
shelfs = shelfs_
mapa = mapa_
return mapa

10
main.py
View File

@ -6,6 +6,7 @@ def main():
good = False
while (True):
good = True
"""
fieldValues = multenterbox("Wprowadź warunki początkowe", "Start programu", ["Szerekość kraty (>=6)", "Wysokość kraty (>=7)", "Ilość regałów kruchych", "Ilość regałów łatwopalnych", "Ilość regałów radioaktywnych", "Ilość regałów niebezpiecznych"])
if(fieldValues[0].isnumeric() and (fieldValues[0]!="")):
if(int(fieldValues[0])<=5):
@ -30,7 +31,14 @@ def main():
elif (good == True):
msgbox("Wartość nie jest liczbą", "Błąd")
good = False
"""
if good:
window = MainWindow(int(fieldValues[0]), int(fieldValues[1]), int(fieldValues[2]), int(fieldValues[3]), int(fieldValues[4]), int(fieldValues[5]));
szerokosc = 15 #min 6
wysokosc = 8 #min 7
kruche = 1
latwopalne = 1
radioaktywne = 1
niebezpieczne= 1
window = MainWindow(szerokosc, wysokosc, kruche, latwopalne, radioaktywne, niebezpieczne);
break
main()

5
neurons.py
View File

@ -29,8 +29,11 @@ class Neurons:
if confidence > 0.5:
class_ids.append(class_id)
print([classes[ids] for ids in class_ids])"""
# randomowe przydzielanie typów paczek poki nie ma rozpoznawania paczki
x = [1, 0, 0, 0, 0]
numpy.random.shuffle(x)
#numpy.random.shuffle(x)
if x[0]==1:
print("Zwykła")
elif x[1]==1:

30
program.py
View File

@ -1,19 +1,19 @@
import pygame
from os import sys
from generate import Generate
from floor import Floor
from wall import Wall
from shelf import Shelf
from Mapa.generate import Generate
from Mapa.floor import Floor
from Mapa.wall import Wall
from Mapa.shelf import Shelf
from wheel import Wheel
from boxOnTheFloor import BoxOnTheFloor
from box import Box
from unboxOnTheFloor import UnboxOnTheFloor
from Mapa.boxOnTheFloor import BoxOnTheFloor
from Mapa.box import Box
from Mapa.unboxOnTheFloor import UnboxOnTheFloor
from AStar import AStar
import numpy
import easygui
from neurons import Neurons
from whereDecision import WhereDecision
from Evencik import Evencik
from genetyczny import metody
class MainWindow:
def __init__(self, szerokosc, wysokosc, kruche, latwopalne, radioaktywne, niebezpieczne):
@ -33,6 +33,9 @@ class MainWindow:
self.whereDecision = WhereDecision()
#create
self.wheel = Wheel(self.screen, self.cell);
#przekladanie wartosci liczbowych z tablicy na mapę obiektow
for i in range(len(self.map)):
for j in range(len(self.map[i])):
if (self.map[i][j]==1):
@ -44,11 +47,14 @@ class MainWindow:
elif (self.map[i][j]==23):
self.map[i][j] = UnboxOnTheFloor(self.screen, self.cell, i, j)
self.mapForAStar[i][j] = 1
else:
#regals (kordy i,j oraz rodzaj regału)
self.regals.append((i, j, (self.map[i][j]-3)//4))
self.map[i][j] = Shelf(self.screen, self.cell, i, j, (self.map[i][j]-3)%4, (self.map[i][j]-3)//4)
self.mapForAStar[i][j] = 1
#loop
#loop
while True:
self.events()
self.draw()
@ -66,6 +72,7 @@ class MainWindow:
elif (self.moves[0]==4):
self.wheel.move(Evencik(pygame.K_RIGHT), self.map)
self.moves.pop(0)
def events(self):
for event in pygame.event.get():
if(event.type==pygame.QUIT):
@ -76,8 +83,9 @@ class MainWindow:
elif(event.type==pygame.MOUSEBUTTONDOWN):
if (type(self.map[0][2]) == Floor):
whatIsIt = self.neurons.whatIsIt(easygui.fileopenbox("Wybierz zdjęcie paczki", "Wybierz zdjęcie paczki", filetypes = [["*.jpg", "*.jpeg", "*.png", "Pliki graficzne"]]))
where = self.whereDecision.recognize(whatIsIt, self.regalsik())
where = self.whereDecision.recognize(whatIsIt, self.regalsik()) #kordy regalu
self.map[0][2] = BoxOnTheFloor(self.screen, self.cell, 0, 2, Box())
star = AStar()
path = star.search([self.wheel.ns, self.wheel.we], [0, 2], self.mapForAStar, 1)
cns = self.wheel.ns
@ -106,6 +114,8 @@ class MainWindow:
continue
break
self.mapForAStar[where[0]][where[1]] = 0
# wyszukiwanie ścieżki z miejsca podjęcia paczki do regału
# zmienna path posiada macierz oraz kroki podjęte przez wózek
path = star.search([0, 2], where, self.mapForAStar, 1)
self.mapForAStar[where[0]][where[1]] = 1
value = path[cns][cwe]

11
wheel.py
View File

@ -1,12 +1,13 @@
import pygame
from floor import Floor
from boxOnTheFloor import BoxOnTheFloor
from unboxOnTheFloor import UnboxOnTheFloor
from shelf import Shelf
from Mapa.floor import Floor
from Mapa.boxOnTheFloor import BoxOnTheFloor
from Mapa.unboxOnTheFloor import UnboxOnTheFloor
from Mapa.shelf import Shelf
class Wheel:
def __init__(self, screen, cell):
self.cell = cell
#kordy wozka
self.ns = 1
self.we = 2
self.direction = 3
@ -55,7 +56,7 @@ class Wheel:
elif(self.occupied==False and krata[self.ns+1][self.we].isOccupied()==True and krata[self.ns+1][self.we].kierunek==1):
self.putBox(krata[self.ns+1][self.we].get())
self.direction = 3
elif(type(krata[self.ns+1][self.we])==UnboxOnTheFloor):
elif(type(krata[self.ns+1][self.we])==UnboxOnTheFloor): # Aktywacja unBoxOnTheFloor jak wózek najedzie na pole przed nim
if(self.ns+1==len(krata)-1):
self.ns+=1
self.m_ns=self.cell*(-1)

3
whereDecision.py
View File

@ -59,4 +59,5 @@ class WhereDecision:
y = prenumeratorzy["lokacja"]
drzewko = DecisionTreeClassifier(criterion="entropy")
drzewko.fit(X=z, y=y)
return list(make_tuple(lokacja_kody[drzewko.predict(recognize)][0]))
tmp = list(make_tuple(lokacja_kody[drzewko.predict(recognize)][0]))
return tmp