[QUESTION] Chapter 9 Label propagation

I dont get these lines of the code

```python
k=50
y_representative_digits = np.array([4, 8, 0, 6, 8, 3, ..., 7, 6, 2, 3, 1, 1])
y_train_propagated = np.empty(len(X_train), dtype=np.int32)

for i in range(k):
y_train_propagated[kmeans.labels_==i] = y_representative_digits[i]
```

If for example the `i` of the for loop is 2. Then the indices of `y_train_propagated[kmeans.labels_==i]` (where `kmeans.labels_==2` is true) will be set to 0 because `y_representative_digits[2]` is equivalent to 0, right?

So the indices of `y_train_propagated` where `kmeans.labels_` is equal to 2 will be set to zero. The label is 2 but it is set to 0. Wouldn't that be wrong?