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],
