ValueError: Sample weight and interaction matrix entries must be in the same order

I am really new to using lightFM and can't seem to figure out how to debug this error.
Attaching the code snippet :

interactions, weights = dataset.build_interactions(user_item_interactions['user_item_count'])
train, test = random_train_test_split(interactions, test_percentage = 0.2)

from lightfm import LightFM

model = LightFM(
no_components=350,
learning_rate=0.05,
loss='warp')

model.fit(
train,
item_features=item_features,
sample_weight = weights,
epochs=5, num_threads=4, verbose=True)

I do not get this error if I fit the whole interaction matrix instead of the train, test split.
Thanks.

Start by reproducing the snippet with LightFM's dataset.build_interactions, random_train_test_split, and model.fit entry points, comparing the full interaction matrix with the split matrices. Trace how the interaction and sample-weight entries are aligned, then make the failure mode and supported behavior clear in the relevant issue or documentation.

Written by the indexing model from the issue text.