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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
DisplayVariable = namedtuple("DisplayVariable", ["name", "values"])
DisplayProcedure = namedtuple("DisplayProcedure", ["procedure", "solution"])
def experiment_shutdown():
WIN.close()
core.quit()
WIN = visual.Window((2560, 1440), fullscr=True, units="pix")
MONITOR_FPS = 60
TRAIN_TRIALS = 1 # 75
TEST_TRIALS = 1 # 50
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=100,
alignment="center",
)
stims.append(value_stim)
y = 650
offset = 120
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=50,
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=[1000, 1000],
letterHeight=50,
alignment="center",
)
return stim_procedure
def run_trial(procedure_keys: list, condition):
water_sample = frensch_procedures.constrained_WaterSample()
water_sample.print_all()
if condition == "random":
random.shuffle(procedure_keys)
solid = DisplayVariable("SOLID", [water_sample.solid])
algae = DisplayVariable("ALGAE", [water_sample.algae])
lime = DisplayVariable("LIME", water_sample.lime)
toxin = DisplayVariable("TOXIN", 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 = -800
proc_y = -100
answ_x = 0
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_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
# TODO: prevent nondigits
# answer.replace("\n", "")
# if not answer.isdigit():
# stim_answer_box.text = ""
# answer = ""
if "\n" in stim_answer_box.text:
not_finished = False
answer_time = core.monotonicClock.getTime() - start_time
print(f"time to answer: {answer_time}")
answers.append(answer.replace("\n", ""))
event.waitKeys(keyList=["space"])
return answers
intro = visual.TextBox2(WIN, "Introduction")
intro.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])
print(train_procedures)
for _ in range(TRAIN_TRIALS):
print(f"Answer: {run_trial(train_procedures, ORDER_CONDITIONS[0])}")
train_procedures[2] = transfer_procedure
print(train_procedures)
for _ in range(TEST_TRIALS):
print(f"Answer: {run_trial(train_procedures, ORDER_CONDITIONS[0])}")
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