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generate system for normalization (Python + PostgreSQL) one. Input: a basic SQL table, with a possible PK supplied as parameter. That is definitely, assume you imported a CSV or text file without having assurance the desk has a sound i thought about this PK. In this particular precise HW version the table will never have nulls. two. PK: you need to verify In case the desk PK is indeed legitimate. The PK may be composite and may have up two to attributes. You aren't expected to locate a PK In the event the supplied PK is invalid. On this certain HW version the PK is not going to have nulls. three. FDs: your plan have to compute all potential useful dependencies contemplating the max amount of columns inside the PK and nonkey columns.
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