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mode: models applies the raw autogenerated candidate, and it cannot run:
sa.Column('weights', pgvector.sqlalchemy.vector.VECTOR(dim=1152), ...)
NameError: name 'pgvector' is not defined
Alembic emits the qualified reference without emitting the import.
Observed on run 4988, which turns this from a thing I predicted by
reading the candidate into a thing demonstrated by executing it.
Repaired in the workflow rather than counted as a schema difference: the
comparison asks whether the MODELS describe the schema, and this is a
defect in the generator. The same fixup has to be applied by hand to any
baseline generated this way, which is why it is item 4 on the collapsed
baseline's hand-written list.