def run_experiment(mas, config, window_size=600):
"""
Run an experiment on the initialised MAS with
an animated graphical representation.
"""
# Initialise the graphical environment (tkinter)
app = tk.Tk()
app.geometry(str(window_size-TEXT_HEIGHT) + 'x' + str(window_size))
canvas = tk.Canvas(app, width=window_size-TEXT_HEIGHT, height=window_size)
canvas.pack()
cell_size = (window_size - 2*MARGIN - TEXT_HEIGHT) / e.size(m.get_env(mas))
# Define a local function that represents the "graphical loop"
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN, MARGIN, anchor=tk.NW, text="Cycle #" + str(cycle))
if not ending_condition(mas):
m.increment_cycle(mas)
m.run_one_cycle(mas,config)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
# Initialise the experiment (the MAS)
m.set_cycle(mas, 0)
ending_condition = m.get_ending_condition(mas)
# Run the experiment
tki_experiment_loop(mas)
app.mainloop()
def run_experiment(mas, window_size=600):
"""
Run an experiment on the initialised MAS with
an animated graphical representation.
"""
# Initialise the graphical environment (tkinter)
app = tk.Tk()
app.geometry(str(window_size-TEXT_HEIGHT) + 'x' + str(window_size))
canvas = tk.Canvas(app, width=window_size-TEXT_HEIGHT, height=window_size)
canvas.pack()
cell_size = (window_size - 2*MARGIN - TEXT_HEIGHT) / e.size(m.get_env(mas))
# Define a local function that represents the "graphical loop"
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN, MARGIN, anchor=tk.NW, text="Cycle #" + str(cycle))
if not ending_condition(mas):
m.increment_cycle(mas)
m.run_one_cycle(mas)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
# Initialise the experiment (the MAS)
m.set_cycle(mas, 0)
ending_condition = m.get_ending_condition(mas)
# Run the experiment
tki_experiment_loop(mas)
app.mainloop()
def eat_sugar(agent, mas):
matrix = e.get_cell_matrix(m.get_env(mas))
pop = m.get_pop(mas)
(col, lig) = get_pos(agent)
vision = get_vision(agent)
sugar_agent = get_sugar_level(agent)
max_sugar_agent = get_max_sugar_capacity(agent)
sugar_cell = c.get_sugar_level(matrix[lig][col])
new_sugar_agent = 0.0
new_sugar_cell = 0.0
if sugar_agent == max_sugar_agent:
new_sugar_agent = max_sugar_agent
new_sugar_cell = sugar_cell
if sugar_agent < max_sugar_agent:
if sugar_agent + sugar_cell < max_sugar_agent:
new_sugar_agent = sugar_agent + sugar_cell
new_sugar_cell = 0.0
if sugar_agent + sugar_cell > max_sugar_agent:
new_sugar_agent = max_sugar_agent
new_sugar_cell = sugar_cell + (sugar_agent - max_sugar_agent)
c.set_sugar_level(matrix[lig][col], new_sugar_cell)
return new_sugar_agent, new_sugar_cell
def new_instance(mas, size, cfg):
pop = empty_list()
set_agents(pop, [])
set_env(pop, m.get_env(mas))
set_max_agent_capacity(pop, cfg["MAX_AGENT_CAPACITY"])
MAX_AGENT_CAPACITY = cfg["MAX_AGENT_CAPACITY"]
AGENT_PRESENT = int(cfg["INITIAL_AGENT"])
init_agents(pop, AGENT_PRESENT, cfg)
return pop
def __draw_mas(canvas, mas, cell_size):
# Draw the MAS on the canvas
env = m.get_env(mas)
pop = m.get_pop(mas)
if env is not None:
__draw_env(canvas, env, cell_size)
# Only consider plotting the population if there is an environment
if pop is not None:
__draw_pop(canvas, pop, cell_size)
def __draw_mas(canvas, mas, cell_size):
# Draw the MAS on the canvas
env = m.get_env(mas)
pop = m.get_pop(mas)
if env is not None:
__draw_env(canvas, env, cell_size)
# Only consider plotting the population if there is an environment
if pop is not None:
__draw_pop(canvas, pop, cell_size)
def set_capacity(cell, capacity, mas):
"""
Set the sugar capacity of the cell.
"""
env = m.get_env(mas)
'''if capacity < 0:
raise Exception("The sugar capacity of a cell cannot be negative.")
if capacity > e.get_max_capacity(env):
print("Capa = ",capacity," max = ",e.get_max_capacity(env))
raise Exception("The sugar capacity of a cell cannot exceed the maximum capacity for the environment.")'''
__set_property(cell, SUGAR_CAPACITY_IDX, capacity)
def __compute_cell_color(cell, mas):
# Compute the color of the cell, depending on its sugar level
sugar_level = c.get_sugar_level(cell)
env = m.get_env(mas)
max_capacity = e.get_max_capacity(env)
ratio = sugar_level / max_capacity
color_level = int(255 * (1 - ratio))
# convert the color level to hexadecimal representation
hex_color_level = hex(color_level)[2:].zfill(2)
color_code = '#' + 'ff' + 'ff' + hex_color_level
return color_code
def mas_plot(mas, showGrid=True):
"""
Plot the complete complete MAS as a matplotlib graphic.
"""
env = m.get_env(mas)
pop = m.get_pop(mas)
plt.axes([0, 0, 1, 1], axisbg=None, frameon = False)
if env is not None:
env_plot(env, showGrid)
# Only consider plotting the population if there is an environment
if pop is not None:
pop_plot(pop)
plt.show()
def RA3(mas, agent):
(lig, col) = get_pos(agent)
matrix = e.get_cell_matrix(m.get_env(mas))
vision = get_vision(agent)
res = 0
size = len(matrix) - 1
idx_position = (lig, col)
metabolism = get_metabolism(agent)
for i in range(vision + 1):
distance = vision - i
if col + i > size:
for j in range(distance):
if metabolism <= res < matrix[lig][j][
1]: ##cellule[1] = taux de sucres
res = matrix[lig][j][1]
idx_position = (lig, j)
if lig + i > size:
for j in range(distance):
if metabolism <= res < matrix[j][col][1]:
res = matrix[j][col][1]
idx_position = (j, col)
if col - i < 0:
for j in range(distance):
if metabolism <= res < matrix[lig][size - j][1]:
res = matrix[lig][size - j][1]
idx_position = (lig, size - j)
if lig - i < 0:
for j in range(distance):
if metabolism <= res < matrix[size - j][col][1]:
res = matrix[size - j][col][1]
idx_position = (size - j, col)
else:
if metabolism <= res < matrix[lig][col + i][1]:
res = matrix[lig][col + i][1]
idx_position = (lig, col + i)
if metabolism <= res < matrix[lig][col - i][1]:
res = matrix[lig][col - i][1]
idx_position = (lig, col - i)
if metabolism <= res < matrix[lig + i][col][1]:
res = matrix[lig + i][col]
idx_position = (lig + i, col)
elif metabolism <= res < matrix[lig - i][col]:
res = matrix[lig - i][col]
idx_position = (lig - i, col)
return idx_position
def add_capacity(cell, capacity, mas):
"""
Add capacity to a cell (in addition to the capacity)
the cell already has.
Usually, this function is only called by other capacity
initialisation functions, e.g. "add_capacity_gaussian"
in the "mas_environment" module.
"""
# Add the current capacity of the cell to the value of the
# parameter "capacity".
capacity += get_capacity(cell)
# Limit it to the maximum capacity of the environment.
env = m.get_env(mas)
max_capacity = e.get_max_capacity(env)
if capacity <= max_capacity:
set_capacity(cell, capacity, mas)
else:
set_capacity(cell, max_capacity, mas)
def new_instance(mas, sz, nb):
"""
Return a new population instance of size "sz", with a number
"nb" of conaminated cells and "declare" to which MAS it belongs to.
"""
pop = __empty_instance()
set_env(pop, m.get_env(mas))
set_agents(pop, [])
set_walkers(pop, [])
set_mas(pop, mas)
for i in range(sz):
agent = a.new_instance(pop)
add_agent(agent, get_agents(pop))
for i in range(nb):
walker = w.new_instance(pop)
add_walker(walker, get_walkers(pop))
place_first_walkers(pop) # WALKERS FIRST
place_first_agents(pop)
return pop
def new_instance(mas, sz):
"""
Return a new population instance of size "sz" and
"declare" to which MAS it belongs to.
"""
env = m.get_env( mas )
agents = [] # Les 'sz' agents
for x in range ( sz ):
cell_ref = e.random_cell_ref_without_agent(env) # On récupère la position d'une cellule sans agent
agent = a.new_random() # On crée un agent avec des valeurs aléatoires
a.set_pos( agent, cell_ref ) # On modifie la position de l'agent
cell = e.get_cell( env, cell_ref ) # On récupère la cellule (liste) via la position
c.set_present_agent( cell, agent ) # On indique à la cellule qu'un agent est présent
agents.append ( agent ) # On ajoute l'agent dans la liste des 'sz' agents
population = __empty_instance()
set_agents( population, agents )
set_env( population, env )
return population
def move_agent(agent, mas, cfg, matrix):
pop = m.get_pop(mas)
matrix = e.get_cell_matrix(m.get_env(mas))
size = len(matrix)
if cfg["RULE_AGENT"] == 'default':
new_position = agent_move_to_random_position(mas, agent, size, cfg)
(col, lig) = new_position
set_pos(agent, new_position)
set_sugar_level(
agent,
float(get_sugar_level(agent)) - float(get_metabolism(agent)))
new_sugar_agent, new_sugar_cell = eat_sugar(agent, mas)
set_sugar_level(agent, new_sugar_agent)
matrix[lig][col][1] = new_sugar_cell
if cfg["RULE_AGENT"] == 'RA1':
new_position = RA1(mas, agent, matrix)
if cfg["RULE_AGENT"] == 'RA2':
new_position = RA2(mas, agent, matrix)
if cfg["RULE_AGENT"] == 'RA3':
new_position = RA3(mas, agent)
if cfg["RULE_AGENT"] == None:
raise Exception('Invalid syntax for the moving rules')
return new_position
def run_experiment(mas, window_size=600):
"""
Run an experiment on the initialised MAS with
an animated graphical representation.
"""
# Initialise the graphical environment (tkinter)
app = tk.Tk()
app.geometry(str(window_size-TEXT_HEIGHT) + 'x' + str(window_size))
canvas = tk.Canvas(app, width=window_size-TEXT_HEIGHT, height=window_size)
canvas.pack()
cell_size = (window_size - 2*MARGIN - TEXT_HEIGHT) / e.size(m.get_env(mas))
# Define a local function that represents the "graphical loop"
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN, MARGIN, anchor=tk.NW, text="Cycle #" + str(cycle))
male,female = p.get_agents_alive_by_sex(pop)
canvas.create_text(MARGIN, MARGIN-15, anchor=tk.NW, text="Population #" + str(male+female))
canvas.create_text(MARGIN+100, MARGIN, anchor=tk.NW, text="Femme #" + str(female))
canvas.create_oval(MARGIN+180,MARGIN-4,MARGIN+188,MARGIN-12,fill='black')
canvas.create_text(MARGIN+100, MARGIN-15, anchor=tk.NW, text="Homme #" + str(male))
canvas.create_oval(MARGIN+180,MARGIN+3,MARGIN+188,MARGIN+11,fill='red')
canvas.create_text(MARGIN+200, MARGIN,anchor=tk.NW, text="Dead agents #" + str(p.get_dead_agents(pop)))
if not eval("m."+ending_condition+"(mas)"):
m.increment_cycle(mas)
m.run_one_cycle(mas)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
# Initialise the experiment (the MAS)
m.set_cycle(mas, 0)
ending_condition = m.get_ending_condition(mas)
# Run the experiment
tki_experiment_loop(mas)
app.mainloop()
def get_env(pop):
mas = get_mas(pop)
env = m.get_env(mas)
return env
# Uncoment the following line to use "static" plots.
# CAUTION: This only works if matplotlib is installed.
#import mas_graphics as g
#==================================================
# TESTING
#==================================================
# Read the configuration file
conf = u.config_read_file("config.cfg")
# Create a new MAS instance from that configuration
mas = m.new_instance_from_config(conf)
# Set the sugar level of each cell to its capacity
# (otherwise, the agent would die immediately because
# there would initially be no sugar in the environment)
env = m.get_env(mas)
e.set_cell_sugar_level_to_capacity(env)
# Run experiment (with or without visualisation)
#m.run_experiment(mas)
v.run_experiment(mas)
#m.show(mas)
# Plot the result at the end of the experiment
# CAUTION: This only works if matplotlib is installed.
#g.mas_plot(mas)
def run_experiment(mas, window_size=600):
"""
Run an experiment on the initialised MAS with
an animated graphical representation.
"""
# Initialise the graphical environment (tkinter)
app = tk.Tk()
app.geometry(str(window_size - TEXT_HEIGHT) + 'x' + str(window_size))
canvas = tk.Canvas(app,
width=window_size - TEXT_HEIGHT,
height=window_size)
canvas.pack()
cell_size = (window_size - 2 * MARGIN - TEXT_HEIGHT) / e.size(
m.get_env(mas))
# Define a local function that represents the "graphical loop"
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN,
MARGIN,
anchor=tk.NW,
text="Cycle #" + str(cycle))
male, female = p.get_agents_alive_by_sex(pop)
canvas.create_text(MARGIN,
MARGIN - 15,
anchor=tk.NW,
text="Population #" + str(male + female))
canvas.create_text(MARGIN + 100,
MARGIN,
anchor=tk.NW,
text="Femme #" + str(female))
canvas.create_oval(MARGIN + 180,
MARGIN - 4,
MARGIN + 188,
MARGIN - 12,
fill='black')
canvas.create_text(MARGIN + 100,
MARGIN - 15,
anchor=tk.NW,
text="Homme #" + str(male))
canvas.create_oval(MARGIN + 180,
MARGIN + 3,
MARGIN + 188,
MARGIN + 11,
fill='red')
canvas.create_text(MARGIN + 200,
MARGIN,
anchor=tk.NW,
text="Dead agents #" + str(p.get_dead_agents(pop)))
if not eval("m." + ending_condition + "(mas)"):
m.increment_cycle(mas)
m.run_one_cycle(mas)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
# Initialise the experiment (the MAS)
m.set_cycle(mas, 0)
ending_condition = m.get_ending_condition(mas)
# Run the experiment
tki_experiment_loop(mas)
app.mainloop()
# Uncoment the following line to use "static" plots.
# CAUTION: This only works if matplotlib is installed.
#import mas_graphics as g
# IT USES THE MODS TO BEGIN THE MAS.
# HERE IS THUS THE REASON WHY THIS FUNCTION HAS BEEN MADE.
#==================================================
# TESTING
#==================================================
# Read the configuration file
conf = u.config_read_file("test.cfg")
# Create a new MAS instance from that configuration
mas = m_mod.new_instance_from_config(conf)
# Set the sugar level of each cell to its capacity
# (otherwise, the agent would die immediately because
# there would initially be no sugar in the environment)
env = m.get_env(mas)
e.set_cell_sugar_level_to_capacity(env)
# Run experiment (with or without visualisation)
#m.run_experiment(mas)
v_mod.run_experiment(mas)
# Plot the result at the end of the experiment
# CAUTION: This only works if matplotlib is installed.
#g.mas_plot(mas)