def zollner_display(parameters): """ """ n.image(pyllusion_path + "line_red.png", x=parameters["Top_Line_x"], y=parameters["Top_Line_y"], size=parameters["Top_Line_size"], rotate=-parameters["Top_Line_Angle"], scale_by="width") n.image(pyllusion_path + "line_red.png", x=parameters["Bottom_Line_x"], y=parameters["Bottom_Line_y"], size=parameters["Bottom_Line_size"], rotate=-parameters["Bottom_Line_Angle"], scale_by="width") for i in range(15): n.line(left_x=-7.25 + i + parameters["Distractor_Left_x"], left_y=2.5 + parameters["Distractor_Left_y"], right_x=-7.25 + i + parameters["Distractor_Right_x"], right_y=2.5 + parameters["Distractor_Right_y"], line_color="black", thickness=parameters["Distractor_Thickness"]) for i in range(15): n.line(left_x=-6.75 + i - parameters["Distractor_Left_x"], left_y=-2.5 + parameters["Distractor_Left_y"], right_x=-6.75 + i - parameters["Distractor_Right_x"], right_y=-2.5 + parameters["Distractor_Right_y"], line_color="black", thickness=parameters["Distractor_Thickness"])
def rodframe_display(parameters): """ """ n.image(pyllusion_path + "frame.png", rotate=-1 * parameters["Frame_Angle"], size=parameters["Frame_Size"]) n.image(pyllusion_path + "rod_red.png", rotate=-1 * parameters["Rod_Angle"], size=parameters["Rod_Size"])
def ponzo_display(parameters): """ """ # n.line(left_x=-5, left_y=-8, right_x=-1, right_y=8, line_color="black", thickness=parameters["Vertical_Lines_Thickness"]) # n.line(left_x=1, left_y=8, right_x=5, right_y=-8, line_color="black", thickness=parameters["Vertical_Lines_Thickness"]) n.image(pyllusion_path + "line.png", x=-3, y=0, size=20, rotate=-90-parameters["Vertical_Line_Angle"], scale_by="width") n.image(pyllusion_path + "line.png", x=3, y=0, size=20, rotate=-90+parameters["Vertical_Line_Angle"], scale_by="width") n.line(left_x=parameters["Bottom_Line_Left_x"], left_y=parameters["Bottom_Line_Left_y"], right_x=parameters["Bottom_Line_Right_x"], right_y=parameters["Bottom_Line_Right_y"], line_color="red", thickness=parameters["Bottom_Line_Thickness"]) n.line(left_x=parameters["Top_Line_Left_x"], left_y=parameters["Top_Line_Left_y"], right_x=parameters["Top_Line_Right_x"], right_y=parameters["Top_Line_Right_y"], line_color="red", thickness=parameters["Bottom_Line_Thickness"])
def display_explosion(side="RIGHT"): if side == "RIGHT": n.image("assets/explosion.png", x=5, y=6.5, size=5) elif side == "LEFT": n.image("assets/explosion.png", x=-5, y=6.5, size=5) elif side == "CENTRE": n.image("assets/explosion.png", x=0, y=-8, size=7)
def run_trials(cache, trials): prestim_interval = list(np.random.uniform(33.333333, 2000, len(trials)-1)) prestim_interval.insert(0, 2000) for order, trial in enumerate(trials): n.refresh() trial["Order"] = order+1 trial["Time_Trial_Onset"] = datetime.datetime.now() # Wait trial["Prestimulus_Interval"] = int(prestim_interval[order]) if testmode is False: trial["Prestimulus_Interval"] = n.time.wait(int(prestim_interval[order])) # Diplay stuff n.image(trial["Global_Color"] + "_" + trial["Global_Shape"], size=8, extension = ".png", cache = cache, path = "./Stimuli/", rotate=trial["Global_Angle"]) n.image(trial["Local_Color"] + "_" + trial["Local_Shape"], size=8, extension = ".png", cache = cache, path = "./Stimuli/", rotate=trial["Local_Angle"]) n.refresh() trial["Time_Stimulus_Onset"] = datetime.datetime.now() if testmode is False: answer, RT = n.response(time_max = 1750, allow=["DOWN", "RIGHT", "LEFT"]) if answer == "Time_Max_Exceeded": answer = "NA" else: answer = np.random.choice(["DOWN", "RIGHT", "LEFT", "NA"]) RT = np.random.uniform(100, 1750) trial["Response"] = answer trial["RT"] = RT n.newpage('grey', auto_refresh=False) return(trials)
def display_cue(side="RIGHT", conflict=False): if side == "RIGHT": if conflict is False: angle = 0 angle_sides = 0 elif conflict is True: angle = 0 angle_sides = 180 else: if conflict is False: angle = 180 angle_sides = 180 elif conflict is True: angle = 180 angle_sides = 0 n.image("assets/arrow_green.png", x=-2, y=6.5, size=1.75, rotate=angle_sides) n.image("assets/arrow_green.png", x=-1, y=6.5, size=1.75, rotate=angle_sides) n.image("assets/arrow_green.png", x=0, y=6.5, size=1.75, rotate=angle) n.image("assets/arrow_green.png", x=1, y=6.5, size=1.75, rotate=angle_sides) n.image("assets/arrow_green.png", x=2, y=6.5, size=1.75, rotate=angle_sides)
# -*- coding: utf-8 -*- """ Test suite. Authors: Dominique Makowski Copyright: The Neuropsydia Development Team Site: https://github.com/neuropsychology/Neuropsydia.py """ import neuropsydia as n n.start() n.write("dupa") n.refresh() n.time.wait(100) n.newpage() n.image("img.jpg", fullscreen=True) n.refresh() n.time.wait(100) n.close() print("STATUS: PASSED.")
def PDM_response(parameters): pygame.mouse.set_visible(True) n.newpage("grey") pygame.draw.circle(n.screen, n.color("black"), parameters["Mask_Corrdinates"], parameters["Mask_Size"], 0) angles = np.array([ parameters["Angle"], parameters["Angle"] + 90, parameters["Angle"] + 180, parameters["Angle"] + 270 ]) angles[angles > 360] = angles[angles > 360] - 360 angles = np.sort(angles) n.image(pyllusion_path + "arrow.png", x=1.5, y=-5, size=2, rotate=angles[0], scale_by="width") n.image(pyllusion_path + "arrow.png", x=-1.5, y=-5, size=2, rotate=angles[1], scale_by="width") n.image(pyllusion_path + "arrow.png", x=-1.5, y=-8, size=2, rotate=angles[2], scale_by="width") n.image(pyllusion_path + "arrow.png", x=1.5, y=-8, size=2, rotate=angles[3], scale_by="width") n.line(left_x=-10, left_y=-6.5, right_x=10, right_y=-6.5, line_color="black", thickness=2) n.line(left_x=0, left_y=-10, right_x=0, right_y=10, line_color="black", thickness=2) n.refresh() loop = True while loop == True: for event in pygame.event.get(): if event.type == pygame.KEYDOWN and event.key == pygame.K_ESCAPE: quit() x, y = pygame.mouse.get_pos() if pygame.mouse.get_pressed() == (1, 0, 0): loop = False x, y = n.Coordinates.from_pygame(x=x, y=y) if x < 0: if y < -6.5: response = angles[2] n.rectangle(x=-1.5, y=-8, width=3, height=3, fill_color="green", thickness=2) else: response = angles[1] n.rectangle(x=-1.5, y=-5, width=3, height=3, fill_color="green", thickness=2) else: if y < -6.5: response = angles[3] n.rectangle(x=1.5, y=-8, width=3, height=3, fill_color="green", thickness=2) else: response = angles[0] n.rectangle(x=1.5, y=-5, width=3, height=3, fill_color="green", thickness=2) n.image(pyllusion_path + "arrow.png", x=1.5, y=-5, size=2, rotate=angles[0], scale_by="width") n.image(pyllusion_path + "arrow.png", x=-1.5, y=-5, size=2, rotate=angles[1], scale_by="width") n.image(pyllusion_path + "arrow.png", x=-1.5, y=-8, size=2, rotate=angles[2], scale_by="width") n.image(pyllusion_path + "arrow.png", x=1.5, y=-8, size=2, rotate=angles[3], scale_by="width") n.line(left_x=-10, left_y=-6.5, right_x=10, right_y=-6.5, line_color="black", thickness=2) n.line(left_x=0, left_y=-10, right_x=0, right_y=10, line_color="black", thickness=2) pygame.draw.circle(n.screen, n.color("black"), parameters["Mask_Corrdinates"], parameters["Mask_Size"], 0) # n.write(str(response), color="white") n.refresh() n.time.wait(50) pygame.mouse.set_visible(False) return (response)
# -*- coding: utf-8 -*- import neuropsydia as n n.start() n.write("Welcome", style="title") name = n.ask("What is your name?", y=5) n.write("Ok, " + name + ", here is a super cool cat.", y=3) n.image("cat.png", size=3, y=-3.5) n.refresh() n.time.wait(2000) n.close()
def TFM_response(parameters): pygame.mouse.set_visible(True) n.newpage("grey") pygame.draw.circle( n.screen, n.color("black"), parameters["Mask_Corrdinates"], parameters["Mask_Size"], 0, ) n.image( pyllusion_path + "arrow_grey.png", x=-1.7, y=-6.2, size=2, rotate=parameters["Angle"] + 180, scale_by="width", ) n.image( pyllusion_path + "arrow_grey.png", x=-2.3, y=-5.8, size=2, rotate=parameters["Angle"] + 180, scale_by="width", ) n.image( pyllusion_path + "arrow.png", x=-2, y=-6, size=3, rotate=parameters["Angle"], scale_by="width", ) n.image( pyllusion_path + "arrow_grey.png", x=1.7, y=-6.2, size=2, rotate=parameters["Angle"], scale_by="width", ) n.image( pyllusion_path + "arrow_grey.png", x=2.3, y=-5.8, size=2, rotate=parameters["Angle"], scale_by="width", ) n.image( pyllusion_path + "arrow.png", x=2, y=-6, size=3, rotate=parameters["Angle"] + 180, scale_by="width", ) n.line(left_x=0, left_y=-10, right_x=0, right_y=10, line_color="black", thickness=1) n.refresh() loop = True while loop == True: for event in pygame.event.get(): if event.type == pygame.KEYDOWN and event.key == pygame.K_ESCAPE: quit() x, y = pygame.mouse.get_pos() if pygame.mouse.get_pressed() == (1, 0, 0): loop = False x, y = n.Coordinates.from_pygame(x=x, y=y) if x < 0: response_side = "LEFT" response = parameters["Angle"] n.rectangle(x=-5, width=10, height=20, fill_color="green") else: response_side = "RIGHT" response = parameters["Angle"] + 180 n.rectangle(x=5, width=10, height=20, fill_color="green") if response >= 360: response -= 360 pygame.draw.circle( n.screen, n.color("black"), parameters["Mask_Corrdinates"], parameters["Mask_Size"], 0, ) # n.write(str(response), color="white") n.refresh() n.time.wait(50) pygame.mouse.set_visible(False) return (response, response_side)
stimulus_angle = np.random.choice([0, 180]) # select target orientation trial_type = np.random.choice(["Congruent", "Neutral", "Incongruent"]) # select trial type if trial_type == "Congruent": distractors_angle = stimulus_angle if trial_type == "Incongruent": if stimulus_angle == 0: distractors_angle = 180 else: distractors_angle = 0 if trial_type == "Neutral": distractors_angle = 90 n.image("arrow-left.png", x=-5, size=2, cache=cache, rotate=distractors_angle) # Distractor n.image("arrow-left.png", x=-2.5, size=2, cache=cache, rotate=distractors_angle) # Distractor n.image("arrow-left.png", x=0, size=2, cache=cache, rotate=stimulus_angle) # Target n.image("arrow-left.png", x=2.5, size=2, cache=cache, rotate=distractors_angle) # Distractor n.image("arrow-left.png",
def display_fire(side="RIGHT"): if side == "RIGHT": n.image("assets/fire.png", x=0.65, y=-7.75) elif side == "LEFT": n.image("assets/fire.png", x=-0.65, y=-7.75)
def display_ship(): n.image("assets/spaceship.png", x=0, y=-8, size=3)
def display_enemy(side="RIGHT", stop=False, allies=False): if side == "RIGHT": if allies is False: if stop is True: n.image("assets/enemy_stop.png", x=5, y=6.5, size=3) else: n.image("assets/enemy.png", x=5, y=6.5, size=3) if allies is True: n.image("assets/enemy.png", x=5, y=6.5, size=3) n.image("assets/enemy.png", x=-5, y=6.5, size=3) elif side == "LEFT": if allies is False: if stop is True: n.image("assets/enemy_stop.png", x=-5, y=6.5, size=3) else: n.image("assets/enemy.png", x=-5, y=6.5, size=3) if allies is True: n.image("assets/enemy.png", x=5, y=6.5, size=3) n.image("assets/enemy.png", x=-5, y=6.5, size=3)
# -*- coding: utf-8 -*- """ Test suite. Authors: Dominique Makowski Copyright: The Neuropsydia Development Team Site: https://github.com/neuropsychology/Neuropsydia.py """ import neuropsydia as n n.start() n.write("dupa") n.refresh() n.time.wait(100) n.newpage() n.image("img.jpg", fullscreen=True) n.refresh() n.time.wait(100) n.close() print("STATUS: PASSED.")
def sequence(cache, response_selection="None", inhibition=False, conflict=False): # Sequence Preparation if response_selection == "None": trials = [] for i in range(30): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"circle", "Global_Color":np.random.choice(["red", "yellow", "blue", "white"]), "Global_Angle":0, "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue", "white"]), "Local_Angle":np.random.choice([-90, 0, 90, 180]), "Inhibition":False, "Conflict":"Neutral", "Response_Availability":True, "Response_Correct":0 } trials.append(trial) if response_selection == "Conditional": if conflict is False: if inhibition is False: trials = [] correct_responses = {-90:-90, 0:0, 90:90, 180:"NA"} for i in range(30): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"circle", "Global_Color":np.random.choice(["red", "yellow", "blue", "white"]), "Global_Angle":0, "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue", "white"]), "Local_Angle":np.random.choice([-90, 0, 90]), "Inhibition":False, "Conflict":"Neutral", "Response_Availability":True } trial["Response_Correct"] = correct_responses[trial["Local_Angle"]] trials.append(trial) for i in range(3): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"circle", "Global_Color":np.random.choice(["red", "yellow", "blue", "white"]), "Global_Angle":0, "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue", "white"]), "Local_Angle":180, "Inhibition":False, "Conflict":"Neutral", "Response_Availability":False, "Response_Correct":"NA" } trials.append(trial) np.random.shuffle(trials) else: trials = [] correct_responses = {-90:-90, 0:0, 90:90, 180:"NA"} for i in range(40): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"circle", "Global_Color":np.random.choice(["red", "yellow", "blue"]), "Global_Angle":0, "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":np.random.choice([-90, 0, 90]), "Inhibition":False, "Conflict":"Neutral", "Response_Availability":True } trial["Response_Correct"] = correct_responses[trial["Local_Angle"]] trials.append(trial) for i in range(3): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"circle", "Global_Color":np.random.choice(["red", "yellow", "blue"]), "Global_Angle":0, "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":180, "Inhibition":False, "Conflict":"Neutral", "Response_Availability":False, "Response_Correct":"NA" } trials.append(trial) for i in range(6): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"circle", "Global_Color":"white", "Global_Angle":0, "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":np.random.choice([-90, 0, 90]), "Inhibition":True, "Conflict":"Neutral", "Response_Availability":True, "Response_Correct":"NA" } trials.append(trial) for i in range(3): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"circle", "Global_Color":"white", "Global_Angle":0, "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":180, "Inhibition":True, "Conflict":"Neutral", "Response_Availability":False, "Response_Correct":"NA" } trials.append(trial) np.random.shuffle(trials) else: trials = [] correct_responses = {-90:-90, 0:0, 90:90, 180:"NA"} for i in range(40): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":np.random.choice([-90, 0, 90]), "Inhibition":False, "Conflict":"Incongruent", "Response_Availability":True } trial["Response_Correct"] = correct_responses[trial["Local_Angle"]] if trial["Local_Angle"] in [-90, 0]: trial["Global_Angle"] = trial["Local_Angle"] + 180 else: trial["Global_Angle"] = trial["Local_Angle"] - 180 trials.append(trial) for i in range(3): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":180, "Inhibition":False, "Conflict":"Incongruent", "Response_Availability":False, "Response_Correct":"NA" } if trial["Local_Angle"] in [-90, 0]: trial["Global_Angle"] = trial["Local_Angle"] + 180 else: trial["Global_Angle"] = trial["Local_Angle"] - 180 trials.append(trial) for i in range(6): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":"white", "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":np.random.choice([-90, 0, 90]), "Inhibition":True, "Conflict":"Incongruent", "Response_Availability":True, "Response_Correct":"NA" } if trial["Local_Angle"] in [-90, 0]: trial["Global_Angle"] = trial["Local_Angle"] + 180 else: trial["Global_Angle"] = trial["Local_Angle"] - 180 trials.append(trial) for i in range(3): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":"white", "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":180, "Inhibition":True, "Conflict":"Incongruent", "Response_Availability":False, "Response_Correct":"NA" } if trial["Local_Angle"] in [-90, 0]: trial["Global_Angle"] = trial["Local_Angle"] + 180 else: trial["Global_Angle"] = trial["Local_Angle"] - 180 trials.append(trial) np.random.shuffle(trials) for i in range(40): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":np.random.choice([-90, 0, 90]), "Inhibition":False, "Conflict":"Congruent", "Response_Availability":True } trial["Response_Correct"] = correct_responses[trial["Local_Angle"]] trial["Global_Angle"] = trial["Local_Angle"] trials.append(trial) for i in range(3): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":180, "Inhibition":False, "Conflict":"Congruent", "Response_Availability":False, "Response_Correct":"NA" } trial["Global_Angle"] = trial["Local_Angle"] trials.append(trial) for i in range(6): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":"white", "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":np.random.choice([-90, 0, 90]), "Inhibition":True, "Conflict":"Congruent", "Response_Availability":True, "Response_Correct":"NA" } trial["Global_Angle"] = trial["Local_Angle"] trials.append(trial) for i in range(3): trial = { "Condition_Response_Selection":response_selection, "Condition_Inhibition":inhibition, "Condition_Conflict":conflict, "Global_Shape":"global", "Global_Color":"white", "Local_Shape":"local", "Local_Color":np.random.choice(["red", "yellow", "blue"]), "Local_Angle":180, "Inhibition":True, "Conflict":"Congruent", "Response_Availability":False, "Response_Correct":"NA" } trial["Global_Angle"] = trial["Local_Angle"] trials.append(trial) np.random.shuffle(trials) # Instructions n.newpage("white") n.write("Instructions", style="bold", y=8, size=1.5) if inhibition is False: instr_angles = [-90 , 0, 90, 180] instr_glob_angles = [-90 , 0, -90, 0] instr_glob_color = ["blue", "yellow", "white", "red"] instr_loc_color = ["red", "blue", "red", "yellow"] instr_responses = ["arrow", "arrow", "arrow", "cross"] else: instr_angles = [-90 , 0, 90, 180, -90] instr_glob_angles = [-90 , 0, -90, 0, -90] instr_glob_color = ["blue", "yellow", "red", "blue", "white"] instr_loc_color = ["red", "red", "blue", "yellow", "red"] instr_responses = ["arrow", "arrow", "arrow", "cross", "cross"] if conflict is True: instr_shapes = "_global" else: instr_shapes = "_circle" if response_selection == "None": intr_resp_angles = [0, 0, 0, 0, 0] instr_responses = ["arrow", "arrow", "arrow", "arrow"] if response_selection == "Conditional": intr_resp_angles = [-90 , 0, 90, 0, 0] x = -7.5 for pos, angle in enumerate(instr_angles): n.image(instr_glob_color[pos] + instr_shapes, size=6, y=1, x = x+pos*3.75, extension = ".png", path = "./Stimuli/", rotate=instr_glob_angles[pos]) n.image(instr_loc_color[pos] + "_local", size=6, y=1, x = x+pos*3.75, extension = ".png", path = "./Stimuli/", rotate=angle) n.image(instr_responses[pos], size=2.75, y=-5.5, x = x+pos*3.75, extension = ".png", path = "./Stimuli/", rotate=intr_resp_angles[pos]) n.refresh() n.write("Appuyez sur ENTRER pour commencer.", style="end") n.newpage('grey', auto_refresh=False) # Run trials data = run_trials(cache, trials) df = statistics(data) return(df)
# ============================================================================= n.start() participant = n.ask("ID: ") n.instructions( "In this task, you will be presented with different images and your task is to rate how intense your feeling is when you see the images." ) fixation_cross(3000) for i in range(60): # Number of trials n.newpage("grey", auto_refresh=False) random_image = random.choice( [x for x in list_stimuli if os.path.isfile(os.path.join(path, x))]) n.image("images/" + random_image, size=20, y=0) trigger.start() n.refresh() n.time.wait(3000) list_stimuli.remove(random_image) random_image = random_image.split(".")[0] stimuli.append(random_image) fixation_cross(5000) n.newpage("grey", auto_refresh=False) trigger.stop() response_arousal = n.scale(title="Your emotion was:", y=3, line_length=10, edges=[1, 9],