Graphsearch A*, heurystyka, action cost
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@ -1,4 +1,4 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (venv)" project-jdk-type="Python SDK" />
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8" project-jdk-type="Python SDK" />
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</project>
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@ -2,7 +2,7 @@
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="jdk" jdkName="Python 3.7 (venv)" jdkType="Python SDK" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</module>
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@ -74,4 +74,4 @@ class Field(object):
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def PuttingLargeImage(self, large_img_name):
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self.large_image_canvas.image = large_img_name
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self.large_image_canvas.create_image(0, 0, anchor=NW, image=large_img_name)
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self.large_image_canvas.create_image(0, 0, anchor=NW, image=large_img_name)
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@ -1,11 +1,15 @@
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from resources.Globals import *
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images_coord_list = []
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cell_expense_list = []
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class Node:
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def __init__(self):
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self.state = State()
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self.parent = None
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self.parent = []
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self.action = ""
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self.priority = 0
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class State:
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@ -14,6 +18,14 @@ class State:
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self.direction = ""
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def init_data(coord_list, expense_list):
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global images_coord_list
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global cell_expense_list
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images_coord_list = coord_list
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cell_expense_list = expense_list
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def successor(state):
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node_state_left = Node()
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@ -98,11 +110,86 @@ def successor(state):
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return [node_state_left, node_state_right]
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def graph_search(fringe, explored, start_state, end_state_coord):
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def get_cell_expense(node):
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global images_coord_list
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global cell_expense_list
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for i in range(0, len(images_coord_list)):
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if (images_coord_list[i][0] <= node.state.coord[0] and node.state.coord[0] <= images_coord_list[i][0] + IMAGE_SIZE) and (images_coord_list[i][1] <= node.state.coord[1] and node.state.coord[1] <= images_coord_list[i][1] + IMAGE_SIZE):
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return cell_expense_list[i]
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def heurystyka(node_now):
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if node_now.action == "Left" or node_now.action == "Right":
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return node_now.parent[2] + (get_cell_expense(node_now) / 2)
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elif node_now.action == "Up":
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return node_now.parent[2] + (get_cell_expense(node_now) * 2)
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elif node_now.action == "":
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return get_cell_expense(node_now)
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# def graph_search(fringe, explored, start_state, end_state_coord):
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#
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# node = Node()
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# node.state = start_state
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# node.parent = node.state
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# fringe.append(node)
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# iterator = 0
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#
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# end_loop = True
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# while end_loop:
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# if len(fringe) == 0:
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# end_loop = False
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# #return False
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#
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# elem = fringe[iterator]
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#
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# if elem.state.coord == end_state_coord:
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# return fringe
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#
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# explored.append(elem)
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#
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# another_states = successor(elem.state)
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# for i in range(0, len(another_states)):
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# n = len(fringe)
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# for j in range(0, n):
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# if another_states[i].state.coord[0] == fringe[j].state.coord[0] and another_states[i].state.coord[1] == fringe[j].state.coord[1]:
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# if another_states[i].state.direction == fringe[j].state.direction:
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# break
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# else:
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# states = []
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# for k in range(0, len(fringe)):
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# new_state = [fringe[k].state.coord, fringe[k].state.direction]
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# states.append(new_state)
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# now_state = [another_states[i].state.coord, another_states[i].state.direction]
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# if now_state in states:
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# break
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#
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# another_states[i].parent = elem.state
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# fringe.append(another_states[i])
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# else:
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# states = []
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# for k in range(0, len(fringe)):
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# new_state = [fringe[k].state.coord, fringe[k].state.direction]
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# states.append(new_state)
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# now_state = [another_states[i].state.coord, another_states[i].state.direction]
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#
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# if now_state in states:
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# break
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#
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# if another_states[i].state.direction == fringe[j].state.direction:
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# another_states[i].parent = elem.state
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# fringe.append(another_states[i])
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# iterator += 1
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def graph_search_A(fringe, explored, start_state, end_state_coord):
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node = Node()
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node.state = start_state
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node.parent = node.state
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node.priority = heurystyka(node)
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node.parent = [node.state.coord, node.state.direction, node.priority]
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fringe.append(node)
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iterator = 0
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@ -110,7 +197,7 @@ def graph_search(fringe, explored, start_state, end_state_coord):
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while end_loop:
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if len(fringe) == 0:
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end_loop = False
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#return False
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# return False
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elem = fringe[iterator]
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@ -121,10 +208,15 @@ def graph_search(fringe, explored, start_state, end_state_coord):
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another_states = successor(elem.state)
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for i in range(0, len(another_states)):
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another_states[i].parent = [elem.state.coord, elem.state.direction, elem.priority]
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p = heurystyka(another_states[i])
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n = len(fringe)
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for j in range(0, n):
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if another_states[i].state.coord[0] == fringe[j].state.coord[0] and another_states[i].state.coord[1] == fringe[j].state.coord[1]:
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if another_states[i].state.direction == fringe[j].state.direction:
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if another_states[i].state.direction == fringe[j].state.direction and p < fringe[j].priority:
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another_states[i].priority = p
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fringe[j] = another_states[i]
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break
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else:
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states = []
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@ -133,10 +225,30 @@ def graph_search(fringe, explored, start_state, end_state_coord):
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states.append(new_state)
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now_state = [another_states[i].state.coord, another_states[i].state.direction]
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if now_state in states:
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break
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index = states.index(now_state)
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if p < fringe[index].priority:
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another_states[i].priority = p
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fringe[index] = another_states[i]
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break
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else:
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break
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another_states[i].parent = elem.state
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another_states[i].priority = p
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fringe.append(another_states[i])
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n1 = len(fringe)
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while n1 > 1:
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change = False
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for l in range(0, n1 - 1):
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if fringe[l].priority > fringe[l + 1].priority:
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fringe[l], fringe[l + 1] = fringe[l + 1], fringe[l]
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change = True
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n1 -= 1
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if not change:
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break
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else:
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states = []
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for k in range(0, len(fringe)):
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@ -145,9 +257,29 @@ def graph_search(fringe, explored, start_state, end_state_coord):
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now_state = [another_states[i].state.coord, another_states[i].state.direction]
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if now_state in states:
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break
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index = states.index(now_state)
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if p < fringe[index].priority:
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another_states[i].priority = p
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fringe[index] = another_states[i]
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break
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else:
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break
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if another_states[i].state.direction == fringe[j].state.direction:
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another_states[i].parent = elem.state
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another_states[i].priority = p
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fringe.append(another_states[i])
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n2 = len(fringe)
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while n2 > 1:
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change = False
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for h in range(0, n2 - 1):
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if fringe[h].priority > fringe[h + 1].priority:
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fringe[h], fringe[h + 1] = fringe[h + 1], fringe[h]
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change = True
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n2 -= 1
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if not change:
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break
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iterator += 1
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@ -28,6 +28,7 @@ field = Field()
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fringe = []
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explored = []
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action_list = []
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images_coord = []
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def Arrow(direction):
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@ -46,9 +47,16 @@ def Arrow(direction):
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# Putting images
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def Fill(bool):
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global images_coord
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if bool:
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field.PuttingSmallImages()
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for i in range(0, len(field.canvas_small_images)):
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images_coord.append(field.small_field_canvas.coords(field.canvas_small_images[i]))
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print("Coords List: ", images_coord)
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nd.init_data(images_coord, field.cell_expense)
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# Drawing red/green rectangles
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for el in field.state_of_cell_array:
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if el[0] != 0:
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@ -171,7 +179,7 @@ def create_action_list(states, index):
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action_list.reverse()
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return True
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action_list.append(fringe[index].action)
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state_parent = [fringe[index].parent.coord, fringe[index].parent.direction]
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state_parent = [fringe[index].parent[0], fringe[index].parent[1]]
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create_action_list(states, states.index(state_parent))
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@ -189,6 +197,7 @@ def MouseClickEvent(event):
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img_coords = field.small_field_canvas.coords(field.canvas_small_images[i])
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if (img_coords[0] <= event.x and event.x <= img_coords[0] + IMAGE_SIZE) and (img_coords[1] <= event.y and event.y <= img_coords[1] + IMAGE_SIZE):
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end_position = img_coords
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print("Color cost: ", field.cell_expense[i])
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# if len(end_position) == 2:
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# print("Koncowa pozycja: {} {}".format(end_position[0], end_position[1]))
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@ -202,8 +211,7 @@ def MouseClickEvent(event):
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for k in range(0, len(fringe)):
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new_state = fringe[k].state.coord
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states.append(new_state)
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index = states.index(start_position)
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start_node = fringe[index]
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start_node = fringe[-1]
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node.state.coord = start_node.state.coord
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node.state.direction = start_node.state.direction
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@ -211,21 +219,28 @@ def MouseClickEvent(event):
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fringe.clear()
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explored.clear()
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action_list.clear()
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fringe = nd.graph_search(fringe, explored, node.state, end_position)
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fringe = nd.graph_search_A(fringe, explored, node.state, end_position)
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# fringe = nd.graph_search(fringe, explored, node.state, end_position)
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states = []
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goal_all = []
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for i in range(0, len(fringe)):
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new_state = [fringe[i].state.coord, fringe[i].state.direction]
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states.append(new_state)
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if end_position[0] == fringe[i].state.coord[0] and end_position[1] == fringe[i].state.coord[1]:
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fringe = fringe[:i + 1]
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break
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goal_all.append(fringe[i])
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elem_min = goal_all[0]
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for i in range(1, len(goal_all)):
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if elem_min.priority > goal_all[i].priority:
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elem_min = goal_all[i]
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index = fringe.index(elem_min)
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fringe = fringe[:index + 1]
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create_action_list(states, -1)
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# for i in range(0, len(fringe)):
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# print('Node{} = State: {} {}, Parent: {} {}, Action: {}'.format(i + 1, fringe[i].state.coord, fringe[i].state.direction, fringe[i].parent.coord, fringe[i].parent.direction, fringe[i].action))
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# print('Node{} = State: {} {}, Parent: {} {} {}, Action: {}'.format(i + 1, fringe[i].state.coord, fringe[i].state.direction, fringe[i].parent[0], fringe[i].parent[1], fringe[i].parent[2], fringe[i].action))
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print(action_list)
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@ -310,25 +325,26 @@ def DrawRectangle():
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y = 4
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color = None
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# Chose color for rectangle
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for i in range(len(field.cell_expense)):
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if field.cell_expense[i] == 10:
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color = "None"
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elif field.cell_expense[i] == 20:
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color = "yellow"
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elif field.cell_expense[i] == 30:
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color = "dodger blue"
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elif field.cell_expense[i] == 40:
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color = "dodger blue"
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elif field.cell_expense[i] == 80:
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color = "green4"
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if color != "None":
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field.small_field_canvas.create_rectangle(x, y, x + IMAGE_SIZE + 2, y + IMAGE_SIZE + 2, width=2, outline=color)
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x += player.step
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if i > 0 and i % 10 == 0:
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if x + IMAGE_SIZE + 2 > field.width:
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x = 4
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y += player.step
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def AddCostCellsToArray(amount, cost):
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counter = 0
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while counter < amount:
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@ -19,12 +19,10 @@ amount_of_sand_cells = 10
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sand_cell_cost = 20
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amount_of_water_cells = 10
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water_cell_cost = 30
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water_cell_cost = 40
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amount_of_swamp_cells = 10
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swamp_cell_cost = 40
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swamp_cell_cost = 80
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x_start = 5
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y_start = 5
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resources/__pycache__/Globals.cpython-38.pyc
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resources/__pycache__/__init__.cpython-38.pyc
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