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#!/usr/bin/env python3
from __future__ import annotations
from psychopy import constants, core, event, gui, visual
from collections import namedtuple
import frensch_procedures
import random
from pprint import pprint
import pandas as pd
import pickle
DisplayVariable = namedtuple("DisplayVariable", ["name", "values"])
DisplayProcedure = namedtuple("DisplayProcedure", ["procedure", "solution"])
intro_text = """Vielen Dank dass Sie bei unserem Experiment zum menschlichen Lernen teilnehmen!
In diesem Experiment arbeiten Sie in einem Labor, welches die Wasserqualität analysiert.
Dafür bekommen Sie einige Wasserproben und müssen für jede Probe verschiedene Kennwerte ermitteln.
Jede Wasserprobe besitzt bereits verschiedene gemessene Werte, wie der Algengehalt, welche für die Berechnungen benutzt werden.
(Leertaste zum Fortfahren)
"""
intro2_text = """Im folgenden müssen sie verschiedene Rechenaufgaben lösen um die Kennwerte zu berechnen.
Verwenden Sie die gewohnten Rechenregeln und geben sie Ihre Lösung bitte immer als zweistellige Zahl ein, und bestätigen mit Enter.
Die Werte der Variablen (z.B. Algen) werden oben am Bildschirm angezeigt.
Manche Variablen haben mehrere mögliche Werte; "Gifte_2" besagt z.B., dass der zweite Wert der Giftwerte zu verwenden ist.
"_max/_min" besagt, dass der maximale/minimale Wert dieser Variable zu verwenden ist.
Als letzte Berechnung müssen Sie den Gesamtwert der Wasserqualität aus ihren Ergebnissen berechnen.
Nach jeder Aufgabe können Sie kurz pausieren.
Drücken Sie die Leertaste um zu beginnen"""
def experiment_shutdown():
WIN.close()
core.quit()
WIN = visual.Window((1920, 1080), fullscr=True, units="pix")
MONITOR_FPS = 60
TRAIN_TRIALS = 75
TEST_TRIALS = 50
# TRAIN_TRIALS = 3
# TEST_TRIALS = 3
ORDER_CONDITIONS = ["fixed", "random", "blocked"]
PROCEDURE_KEYS = ["1", "2", "3", "4", "5", "6", "overall"]
# Cancel experiment anytime with Esc
event.globalKeys.add(key="escape", func=experiment_shutdown, name="shutdown")
def generate_variable_display(varx: list[DisplayVariable], x_positions: list[int]):
assert len(varx) == len(x_positions)
stims = []
def gen_value_stims(values, x, y, offset):
for value in values:
y -= offset
value_stim = visual.TextBox2(
WIN,
pos=(x, y),
text=value,
# size=200,
letterHeight=75,
alignment="center",
)
stims.append(value_stim)
y = 550
offset = 100
for var, x_pos in zip(varx, x_positions):
stim_var = visual.TextBox2(
WIN,
pos=[x_pos, y],
text=var.name,
# size=[1000, 1000],
letterHeight=40,
alignment="center",
)
stims.append(stim_var)
gen_value_stims(var.values, x_pos, y, offset)
return stims
def generate_procedure_display(procedure: DisplayProcedure, position):
stim_procedure = visual.TextBox2(
WIN,
pos=position,
text=procedure.procedure,
size=[1000000, 1000],
letterHeight=40,
alignment="center",
)
return stim_procedure
def generate_all_watersamples(n):
samples = []
for _ in range(n):
samples.append(frensch_procedures.constrained_WaterSample())
return samples
def run_trial(water_sample, procedure_keys: list, condition):
water_sample.print_all()
if condition == "random":
overall = procedure_keys.pop()
random.shuffle(procedure_keys)
procedure_keys.append(overall)
solid = DisplayVariable("Mineralien", [water_sample.solid])
algae = DisplayVariable("Algen", [water_sample.algae])
lime = DisplayVariable("Sandstein", water_sample.lime)
toxin = DisplayVariable("Gifte", water_sample.toxin)
x_positions = [-800, -400, 400, 800]
stims = generate_variable_display([solid, algae, lime, toxin], x_positions)
procedures = water_sample.procedure_dict()
answers = []
proc_x = -600
proc_y = -100
answ_x = 200
answ_y = -100
y_offset = 80
for proc in procedure_keys:
p = DisplayProcedure(procedures[proc][1], procedures[proc][0])
p = generate_procedure_display(p, (proc_x, proc_y))
stims.append(p)
proc_y -= y_offset
stim_answer_equals = visual.TextBox2(
WIN,
"=",
letterHeight=50,
pos=(answ_x - 100, answ_y),
size=[150, 70],
alignment="center",
)
stims.append(stim_answer_equals)
stim_answer_box = visual.TextBox2(
WIN,
"",
letterHeight=50,
pos=(answ_x, answ_y),
size=[150, 70],
editable=True,
fillColor="white",
color="black",
alignment="center",
)
stims.append(stim_answer_box)
answ_y -= y_offset
not_finished = True
answer = "not answered"
start_time = core.monotonicClock.getTime()
while not_finished:
stim_answer_box.hasFocus = True
for stim in stims:
stim.draw()
WIN.flip()
answer = stim_answer_box.text
if "\n" in answer:
if answer[0].isdigit() and answer[1].isdigit():
not_finished = False
else:
stim_answer_box.text = answer[:-1]
if len(answer) > 2:
stim_answer_box.text = stim_answer_box.text[:2]
answer_time = core.monotonicClock.getTime() - start_time
answers.append((answer.replace("\n", ""), answer_time))
# event.waitKeys(keyList=["space"])
return tuple(answers), tuple(procedure_keys)
pause = visual.TextBox2(
WIN,
"""Drücken Sie die Leertaste um mit der nächsten Wasserprobe fortzufahren""",
letterHeight=50,
alignment="center",
)
intro = visual.TextBox2(
WIN, intro_text, letterHeight=40, alignment="center", size=(100000, 100000)
)
intro.draw()
WIN.flip()
event.waitKeys(keyList=["space"])
intro2 = visual.TextBox2(
WIN, intro2_text, letterHeight=40, alignment="center", size=(100000, 100000)
)
intro2.draw()
WIN.flip()
event.waitKeys(keyList=["space"])
train_procedures = PROCEDURE_KEYS[:-1]
random.shuffle(train_procedures)
transfer_procedure = train_procedures[-1]
train_procedures = train_procedures[:-1]
train_procedures.append(PROCEDURE_KEYS[-1])
all_samples = generate_all_watersamples(TRAIN_TRIALS + TEST_TRIALS)
pprint(all_samples)
results = {}
for i in range(TRAIN_TRIALS):
print(train_procedures)
answer, procedure_keys = run_trial(
all_samples[i], train_procedures, ORDER_CONDITIONS[1]
)
answer_dict = {}
answer_dict["procedure_order"] = procedure_keys
answer_dict["water_sample"] = all_samples[i].water_sample_dict()
for proc, key in zip(answer, procedure_keys):
answer_dict[key] = {"answer": proc[0], "time": proc[1]}
results[f"train_{i}"] = answer_dict
pause.draw()
WIN.flip()
event.waitKeys(keyList=["space"])
phase = visual.TextBox2(
WIN,
"""Sie haben den ersten Teil geschafft! Der zweite Teil ist etwas kürzer als der erste
Drücken Sie die Leertaste um anzufangen.""",
letterHeight=40,
alignment="center",
)
phase.draw()
WIN.flip()
event.waitKeys(keyList=["space"])
train_procedures[2] = transfer_procedure
for i in range(TEST_TRIALS):
print(train_procedures)
answer, procedure_keys = run_trial(
all_samples[TRAIN_TRIALS + i], train_procedures, ORDER_CONDITIONS[0]
)
print(procedure_keys)
answer_dict = {}
answer_dict["procedure_order"] = procedure_keys
answer_dict["water_sample"] = all_samples[TRAIN_TRIALS + i].water_sample_dict()
for proc, key in zip(answer, procedure_keys):
answer_dict[key] = {"answer": proc[0], "time": proc[1]}
results[f"test_{i}"] = answer_dict
pause.draw()
WIN.flip()
event.waitKeys(keyList=["space"])
pprint(results)
df = pd.DataFrame.from_dict(results, orient="index")
df.to_csv("vp_results.csv")
with open("vp.pkl", "wb") as file:
pickle.dump(results, file)
outro_text = "Das Experiment ist nun vorüber.\n\nVielen Dank für Ihre Teilnahme!"
outro = visual.TextBox2(
WIN, outro_text, letterHeight=40, alignment="center", size=(100000, 100000)
)
outro.draw()
WIN.flip()
event.waitKeys(keyList=["space"])
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