import logging
import random
import csv
class SequenceGenerator:
"""Generates random sequence of stimuli for the n-back task. Implementation is based on Ralph (2014)."""
def __init__(
self,
choices: list,
n=2,
trials=64, # Number of total trials
targets=22, # Number of targets
lures1=1, # Number of lures (foil) similar to the (N+1)-back
lures2=1 # Number of lures (foil) similar to the (N-1)-back
):
self.n, self.choices, self.trials, self.targets, self.lures1, self.lures2 = n, choices, trials, targets, lures1, lures2
self.distractors = trials - targets - lures1 - lures2
self.seq = []
def generate(self) -> list:
trial = 1
self.seq = []
while trial <= self.trials:
self.seq += self.random_stimulus(trial)
trial += 1
return self.seq
def random_stimulus(self, trial):
rnd = random.randint(1, self.trials - trial + 1)
targets, lures1, lures2 = self.targets, self.lures1, self.lures2
if rnd <= targets and len(self.seq) >= self.n:
self.targets -= 1
return self.seq[-self.n]
elif targets < rnd <= targets + lures1 and len(self.seq) >= self.n + 1:
self.lures1 -= 1
return self.seq[-(self.n+1)]
elif targets + lures1 < rnd <= targets + lures1 + lures2 and len(self.seq) >= self.n - 1:
self.lures2 -= 1
return self.seq[-(self.n-1)]
# distract
self.distractors -= 1
choices = [item for item in self.choices if item not in self.seq[-self.n - 1:-self.n + 1]]
return random.choice(choices)
if __name__ == '__main__':
choices = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H']
generator = SequenceGenerator(choices, n=2, trials=240)
with open('../demo/data/skewed_random_statistical_distributions.csv', mode='w') as stat_dist_file:
writer = csv.writer(stat_dist_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
writer.writerow(['index'] + choices)
for i in range(1000):
seq = generator.generate()
dist = [str(seq.count(c)) for c in choices]
writer.writerow([i] + dist)