can you please share some simple, but meaningful toy example like pycorels

[Sandy4321]

can you please share some simple, but meaningful toy example like pycorels
to make sure it works
for example like
https://github.com/fingoldin/pycorels
Toy dataset (See picture example above)
from corels import CorelsClassifier

["loud", "samples"] is the most verbose setting possible
C = CorelsClassifier(max_card=2, c=0.0, verbosity=["loud", "samples"])

4 samples, 3 features
X = [[1, 0, 1], [0, 0, 0], [1, 1, 0], [0, 1, 0]]
y = [1, 0, 0, 1]

Feature names
features = ["Mac User", "Likes Pie", "Age < 20"]

Fit the model
C.fit(X, y, features=features, prediction_name="Has a dirty computer")

Print the resulting rulelist
print(C.rl())

Predict on the training set
print(C.predict(X))

[Sandy4321]

Can you please add simple example
I do have time this Sunday so would try
You should be interesting in second opinion how your code works, or you have some reservations
And need more time to debug?

[Sandy4321]

any progress in this direction?
it would be simple for you to create such a n example?