Unterschiede

Hier werden die Unterschiede zwischen zwei Versionen gezeigt.

--- ws2425:lebewesenverhalten [2025/03/12 17:55]
R.Arndt
+++ ws2425:lebewesenverhalten [2025/05/05 19:41] (aktuell)
stefanborn [Unser Code:]
@@ Zeile 128: / Zeile 128: @@
 ====Unser Code:====
+<code python>import tkinter as tk
+import random as r
+import math as m
+import numba
+import matplotlib.pyplot as plt
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+fenster = tk.Tk()
+fenster.title("Lebewesenverhalten")
+"""
+fenster.attributes("-fullscreen", True)
+def beenden(event=None):
+    fenster.attributes("-fullscreen", False)
+    exit()
+fenster.bind("<Escape>", beenden)
+width = fenster.winfo_screenwidth()
+hight = fenster.winfo_screenheight()
+"""
+fenster.geometry("1000x600")
+width = 1000
+hight = 600
+canvas = tk.Canvas(fenster, bg="pink")
+canvas.pack(fill="both",expand=True)
+def end_simulation(event):
+	fenster.destroy()
+	fenste = tk.Tk()
+	fenste.title("Statistik")
+	fenste.geometry("1000x600")
+	fig, ax = plt.subplots(figsize=(6,4))
+	ax.plot(x_werte, plant_values)
+	ax.plot(x_werte, meat_values)
+	canvas = FigureCanvasTkAgg(fig, master=fenste)
+	canvas.draw()
+	canvas.get_tk_widget().pack(fill=tk.BOTH, expand=True)
+fenster.bind("<Return>", end_simulation)
+start_pflanzenfresser = 50
+start_fleischfresser = 5
+anzahl_seen = 1
+lines = []
+dis = 100
+time = 0
+pflanzenfresser = []
+new_pflanzenfresser = []
+fleischfresser = []
+new_fleischfresser = []
+seen = []
+x_werte = []
+plant_values = []
+meat_values = []
+def update(event = None):
+	global time
+	if time % 50 == 0:
+		x_werte.append(time)
+		plant_values.append(len(pflanzenfresser))
+		for tier in pflanzenfresser:
+			if not tier.alive:
+				plant_values[-1] -= 1
+		meat_values.append(len(fleischfresser))
+		for tier in fleischfresser:
+			if not tier.alive:
+				meat_values[-1] -= 1
+	#for z in range(len(lines)):
+	#	canvas.delete(lines[z])
+	global new_pflanzenfresser
+	global new_fleischfresser
+	for baby in new_pflanzenfresser:
+		pflanzenfresser.append(baby)
+		baby.show()
+	new_pflanzenfresser = []
+	for baby in new_fleischfresser:
+		fleischfresser.append(baby)
+		baby.show()
+	new_fleischfresser = []
+	for pflanzenfresse in pflanzenfresser:
+		if pflanzenfresse.alive:
+			if time % 5 == 2:
+				pflanzenfresse.sight()
+				pflanzenfresse.check_grazing()
+				pflanzenfresse.change_food(-5*pflanzenfresse.speed)
+				if pflanzenfresse.mating_cooldown > 0:
+					pflanzenfresse.mating_cooldown -= 5
+			pflanzenfresse.move()
+	for fleischfresse in fleischfresser:
+		if fleischfresse.alive:
+			if time % 5 == 0:
+				fleischfresse.sight()
+				fleischfresse.change_food(-5*fleischfresse.speed)
+				if fleischfresse.mating_cooldown > 0:
+					fleischfresse.mating_cooldown -= 5
+			fleischfresse.move()
+	time += 1
+	#fenster.bind("<space>", update)
+	canvas.after(20, update)
+def det(alpha, beta):
+	return m.sin(m.radians(beta-alpha))
+#Distanz zwischen zwei Punkten
+def distance(x1, x2, y1, y2):
+	return m.sqrt((x1 - x2)**2 + (y1 - y2)**2)
+#Quadrat des Abstandes zweier Punkte (für schnelle Berechnungen)
+def squared_distance(x1, x2, y1, y2):
+	return (x1 - x2)**2 + (y1 - y2)**2
+class Objekt:
+	def __init__(self, x, y):
+		self.x = x
+		self.y = y
+class Tiere(Objekt):
+	def __init__(self, x, y , direction, health = 1000, food = 10000, a = 40, b = 180, color = "black", status = "wandering"):
+#Eigenschaften
+		super().__init__(x, y)
+		self.direction = direction
+		self.direction_offset = 0
+		self.health = health
+		self.food = food
+		self.color = color
+		self.mating_cooldown = 0
+#Sicht
+		self.sichtweite = a
+		self.sichtkegelwinkel = b
+#Eigenschaften, von denen das Handeln abhängt
+		self.alive = True
+		self.status = "wandering"
+		self.threat = None
+		self.target = None
+		self.avoiding = None
+	def change_food(self, change):
+		if self.food > 0 or change > 0:
+			self.food += change
+		elif self.food <= 0:
+			self.change_health(-10)
+#tiere verlieren teile ihrer Gesundheit
+	def change_health(self, change):
+		self.health += change
+		if self.health <= 0:
+			self.die()
+#Änderung der Richtung
+	def change_direction(self, type, change):
+		if type == "set":
+			self.direction = change
+		elif type == "add":
+			self.direction += change
+		self.direction %= 360
+#tiere werden wenn sie keine Lebenspunkte mehr haben aus der update-schleife genommen
+	def die(self):
+		self.alive = False
+		if isinstance(self, Fleischfresser):
+			print(self.id)
+		self.hide()
+#bewegt ein Tier vorwärts abhängig von "speed" und "direction"
+	def forward(self):
+		self.x += self.speed*m.cos(m.radians(self.direction+self.direction_offset))
+		self.y += self.speed*m.sin(m.radians(self.direction+self.direction_offset))
+		self.hide()
+		self.show()
+#beschreibt das Verhalten eines Tieres während seines sogenannten Zuges basierend auf dem Status
+	def move(self):
+		if self.status == "wandering":
+			self.change_direction("add", r.randint(-5,5))
+			self.forward()
+		elif self.status == "fleeing":
+			if squared_distance(self.x, self.threat.x, self.y, self.threat.y) >= 90000 and self.threat.target != self:
+				self.status = "wandering"
+				self.threat = None
+				self.speed = self.walking_speed
+			self.forward()
+		elif self.status == "hunting":
+			self.change_direction("set", m.degrees(m.atan2((self.target.y-self.y),(self.target.x-self.x))))
+			if (self.x-self.target.x)**2+(self.y-self.target.y)**2 <= (self.radius+self.target.radius)**2:
+				self.collision()
+			self.forward()
+#Visualisierung der Tiere
+	def show(self):
+		self.id = canvas.create_oval(self.x-self.radius, self.y-self.radius, self.x+self.radius, self.y+self.radius, fill=self.color)
+	def hide(self):
+		canvas.delete(self.id)
+#def det(alpha, beta):
+#	return m.sin(m.radians(beta-alpha))
+#Überprüft ob die Richtung des Hindernisses im Wahrnehmungsbereich des Tieres liegt
+	def in_sight(self, avoid):
+		direction_left_edge = (self.direction + self.direction_offset) + (self.sichtkegelwinkel / 2) #in der Visualiesierung sind die Seiten vertauscht, weil y-Achse auch gespiegelt ist
+		direction_right_edge = (self.direction + self.direction_offset) - (self.sichtkegelwinkel / 2) #in der Visualiesierung sind die Seiten vertauscht, weil y-Achse auch gespiegelt ist
+		return det(direction_left_edge, avoid) < 0 and det(avoid, direction_right_edge) < 0
+#Wahrnehmung der Umwelt mithilfe von Stichpunktartigen Zustandschecks entlang der sightrichtung ("direction")
+	def sight(self):
+		self.avoiding = None
+		potential_targets = []
+		potential_threats = []
+#debug:
+		#lines.append(canvas.create_line(self.x, self.y, self.x+dis*m.cos(m.radians((self.direction + self.direction_offset) + (self.sichtkegelwinkel / 2))), self.y+dis*m.sin(m.radians((self.direction + self.direction_offset) + (self.sichtkegelwinkel / 2))), fill = "orange"))
+		#lines.append(canvas.create_line(self.x, self.y, self.x+dis*m.cos(m.radians(self.direction+self.direction_offset)), self.y+dis*m.sin(m.radians(self.direction+self.direction_offset)), fill = "orange"))
+		#lines.append(canvas.create_line(self.x, self.y, self.x+dis*m.cos(m.radians((self.direction + self.direction_offset) - (self.sichtkegelwinkel / 2))), self.y+dis*m.sin(m.radians((self.direction + self.direction_offset) - (self.sichtkegelwinkel / 2))), fill = "orange"))
+#Kollision mit der Ecke links oben verhindern
+		if m.sin(m.radians(self.direction+self.direction_offset)) <= 0 and m.cos(m.radians(self.direction+self.direction_offset)) <= 0:
+			if self.x > dis and self.y <= dis:
+				self.avoiding = 270
+			elif self.x <= dis and self.y > dis:
+				self.avoiding = 180
+			elif self.x <= dis and self.y <= dis:
+				if self.avoiding == None:
+					self.avoiding = 180
+#Kollision mit der Ecke rechts oben verhindern
+		elif m.sin(m.radians(self.direction+self.direction_offset)) <= 0 and m.cos(m.radians(self.direction+self.direction_offset)) > 0:
+			if self.x <= width-dis and self.y <= dis:
+				self.avoiding = 270
+			elif self.x > width-dis and self.y > dis:
+				self.avoiding = 0
+			elif self.x > width-dis and self.y <= dis:
+				if self.avoiding == None:
+					self.avoiding = 0
+#Kollision mit der Ecke links unten verhindern
+		elif m.sin(m.radians(self.direction+self.direction_offset)) > 0 and m.cos(m.radians(self.direction+self.direction_offset)) <=  0:
+			if self.x > dis and self.y > hight-dis:
+				self.avoiding = 90
+			elif self.x <= dis and self.y <= hight-dis:
+				self.avoiding = 180
+			elif self.x <= dis and self.y > hight-dis:
+				if self.avoiding == None:
+					self.avoiding = 180
+#Kollision mit der Ecke rechts unten verhindern
+		elif m.sin(m.radians(self.direction+self.direction_offset)) > 0 and m.cos(m.radians(self.direction+self.direction_offset)) > 0:
+			if self.x <= width-dis and self.y > hight-dis:
+				self.avoiding = 90
+			elif self.x > width-dis and self.y <= hight-dis:
+				self.avoiding = 0
+			elif self.x > width-dis and self.y > hight-dis:
+				if self.avoiding == None:
+					 self.avoiding = 0
+		if self.avoiding != None:
+			self.avoid(self.avoiding)
+		for k in range(len(pflanzenfresser)):
+			if pflanzenfresser[k].alive and not ((isinstance(self, Pflanzenfresser) and k == self.number)):
+				direction_animal = m.degrees(m.atan2((pflanzenfresser[k].y-self.y),(pflanzenfresser[k].x-self.x)))
+				if self.in_sight(direction_animal):
+					self.react_to_pflanzenfresser(k, potential_targets)
+		for k in range(len(fleischfresser)):
+			if fleischfresser[k].alive and not (isinstance(self, Fleischfresser) and k == self.number):
+				direction_animal = m.degrees(m.atan2((fleischfresser[k].y-self.y),(fleischfresser[k].x-self.x)))
+				if self.in_sight(direction_animal):
+					self.react_to_fleischfresser(k, potential_threats)
+		if len(potential_targets) > 0:
+			self.set_target(self.find_animal(potential_targets))
+		if len(potential_threats) > 0:
+			self.set_threat(self.find_animal(potential_threats))
+		if self.avoiding == None:
+			self.change_direction("add", self.direction_offset)
+			self.direction_offset = 0
+#Ändert die Richtung, mithilfe einer Offset variable
+	def avoid(self, direction_avoid):
+		determinante = det(self.direction+self.direction_offset, direction_avoid)
+		if determinante < 0:
+			self.direction_offset += 10
+		else:
+			self.direction_offset -= 10
+	def find_animal(self, animals):
+		if len(animals) > 0:
+			nearest_animal = animals[0]
+			for i in range(1, len(animals)):
+				if squared_distance(self.x, animals[i].x, self.y, animals[i].y) < squared_distance(self.x, nearest_animal.x, self.y, nearest_animal.y):
+					nearstest_animal = animals[i]
+		return nearest_animal
+#setzt den status auf "fleeing"
+	def set_threat(self, threat):
+		self.status = "fleeing"
+		self.threat = threat
+		self.speed = self.running_speed
+		self.change_direction("set", m.degrees(m.atan2((self.threat.y-self.y),(self.threat.x-self.x))) + 180)
+#setzt den status auf "hunting"
+	def set_target(self, target):
+		self.status = "hunting"
+		self.target = target
+		self.color = "red"
+		self.speed = self.running_speed
+#Wenn ein Fleischfresser einen Pflanzenfresser gefangen hat verliert der Pflanzenfresser leben bis er stirbt. Dann wird der Status des Fleischfressers wieder zurückgesetzt
+	def collision(self):
+		self.target.change_health(-100)
+		if self.target.alive == False:
+			self.change_food(500)
+			self.status = "wandering"
+			self.color = "blue"
+			self.speed = self.walking_speed
+class Pflanzenfresser(Tiere):
+	radius = 5
+	def __init__(self, i, x, y, direction):
+		self.number = i
+		self.grazing_speed = 0.1
+		self.walking_speed = 0.5
+		self.running_speed = 2.5
+		self.speed = self.walking_speed
+		super().__init__(x, y, direction, 1000, 1000, 40, 180, "green")
+	def check_grazing(self):
+		if self.food < 900:
+			self.speed = self.grazing_speed
+		elif self.food >= 1000:
+			self.speed = self.walking_speed
+		if self.speed == self.grazing_speed:
+			self.change_food(1)
+	def react_to_pflanzenfresser(self, k, potential_threats):
+		if self.status == "wandering" and pflanzenfresser[k].status == "wandering":
+			if squared_distance(self.x, pflanzenfresser[k].x, self.y, pflanzenfresser[k].y) < 4*self.radius**2:
+				if self.mating_cooldown == 0 and pflanzenfresser[k].mating_cooldown == 0:
+					if self.food >= 500 and pflanzenfresser[k].food >= 500:
+						if len(pflanzenfresser) <= 400:
+							global new_pflanzenfresser
+							random_direction = r.randint(0,359)
+							new_pflanzenfresser.append(Pflanzenfresser(len(pflanzenfresser)+len(new_pflanzenfresser), self.x, self.y, random_direction))
+							self.mating_cooldown = 1000
+							pflanzenfresser[k].mating_cooldown = 1000
+			elif squared_distance(self.x, pflanzenfresser[k].x, self.y, pflanzenfresser[k].y) < 10000:
+				if self.mating_cooldown == 0:
+					self.change_direction("set", m.degrees(m.atan2((pflanzenfresser[k].y-self.y),(pflanzenfresser[k].x-self.x))))
+	def react_to_fleischfresser(self, k, potential_threats):
+		quadratischeDistanz = squared_distance(self.x, fleischfresser[k].x, self.y, fleischfresser[k].y)
+		if quadratischeDistanz <= dis**2:
+			potential_threats.append(fleischfresser[k])
+class Fleischfresser(Tiere):
+	radius = 8
+	def __init__(self, i, x, y, direction):
+		self.number = i
+		self.walking_speed = 0.8
+		self.running_speed = 2
+		self.speed = self.walking_speed
+		super().__init__(x, y, direction, 1000, 1000, 100, 120, "blue")
+	def react_to_pflanzenfresser(self, k, potential_targets):
+		quadratischeDistanz = squared_distance(self.x, pflanzenfresser[k].x, self.y, pflanzenfresser[k].y)
+		if quadratischeDistanz <= 200**2:
+			if self.food < 500:
+				if self.status == "wandering":
+					potential_targets.append(pflanzenfresser[k])
+				elif self.status == "hunting":
+					if quadratischeDistanz < squared_distance(self.x, self.target.x, self.y, self.target.y):
+						potential_targets.append(pflanzenfresser[k])
+	def react_to_fleischfresser(self, k, potential_targets):
+		if self.status == "wandering" and fleischfresser[k].status == "wandering":
+			if squared_distance(self.x, pflanzenfresser[k].x, self.y, pflanzenfresser[k].y) < 4*self.radius**2:
+				if self.mating_cooldown == 0 and fleischfresser[k].mating_cooldown == 0:
+					if self.food >= 500 and fleischfresser[k].food >= 500:
+						global new_fleischfresser
+						random_direction = r.randint(0,359)
+						new_fleischfresser.append(Fleischfresser(len(fleischfresser)+len(new_fleischfresser), self.x, self.y, random_direction))
+						self.mating_cooldown = 1000
+						fleischfresser[k].mating_cooldown = 1000
+		elif squared_distance(self.x, fleischfresser[k].x, self.y, fleischfresser[k].y) < 40000:
+			if self.mating_cooldown == 0:
+				self.change_direction("set", m.degrees(m.atan2((fleischfresser[k].y-self.y),(fleischfresser[k].x-self.x))))
+class See(Objekt):
+	radius = 50
+	def __init__(self, number, x = 50, y = 50):
+		self.number = number
+		self.radius = radius
+		self.x = x
+		self.y = y
+		self.color = "blue"
+		super().__init__(x, y)
+#Simulationsaufbau
+for i in range(start_pflanzenfresser):
+	random_x = r.randint(Pflanzenfresser.radius, width - Pflanzenfresser.radius)
+	random_y = r.randint(Pflanzenfresser.radius, hight - Pflanzenfresser.radius)
+	random_direction = r.randint(0,359)
+	pflanzenfresser.append(Pflanzenfresser(i, random_x, random_y , random_direction))
+	pflanzenfresser[i].show()
+for i in range(start_fleischfresser):
+	random_x = r.randint(Fleischfresser.radius, width - Fleischfresser.radius)
+	random_y = r.randint(Fleischfresser.radius, hight - Fleischfresser.radius)
+	random_direction = r.randint(0,359)
+	fleischfresser.append(Fleischfresser(i, random_x, random_y, random_direction))
+	fleischfresser[i].show()
+for i in range(anzahl_seen):                                      ###hiermit habe ich den See und Strand gezeichnet
+	id = canvas.create_rectangle(0, 70, 100, 0, fill= "yellow", outline = "yellow")    # Das ist die Füllung vom Loch oben links
+	id = canvas.create_rectangle(0, 200, 100, 0, fill= "yellow", outline = "yellow")
+	id = canvas.create_oval(0, 250, 100, 0, fill= "yellow", outline = "yellow")
+	id = canvas.create_oval(0, 245, 50, 150, fill= "yellow", outline = "yellow")
+	id = canvas.create_oval(0, 255, 70, 150, fill= "yellow", outline = "yellow")
+	id = canvas.create_oval(-50, 255, 30, 100, fill= "yellow", outline = "yellow")
+	id = canvas.create_oval(-100, 260, 100, 100, fill= "yellow", outline = "yellow")
+	id = canvas.create_oval(-100, 260, 200, 100, fill= "yellow", outline = "yellow")
+	id = canvas.create_oval(0, 150, 100, 0, fill= "blue", outline = "blue")
+	id = canvas.create_oval(300, 150, 170, 0, fill= "blue", outline = "blue")
+	id = canvas.create_oval(50, 100, 240, 200, fill= "blue", outline = "blue")
+	id = canvas.create_rectangle(50, 0, 220, 150, fill= "blue", outline = "blue")
+	id = canvas.create_oval(250, 140, 220, 157, fill= "blue", outline = "blue")
+	id = canvas.create_oval(16, 50, 220, 190, fill= "blue", outline = "blue")
+update()
+</code>

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