## Tuple partitioners

Python implementation of fast Practicable Inducers/Tuple partitioners

### Sections

Maximum-roll-by-derived-dimension tuple partitioner

### Maximum-roll-by-derived-dimension tuple partitioner

The application of the *maximum-roll-by-derived-dimension tuple partitioner* $I_{P,U,\mathrm{K},\mathrm{mm}} \in \mathrm{computers}$ is described in Python.

The *tuple partitioner* is defined in module `AlignmentPracticable`

,

```
parametersSystemsPartitionerMaxRollByMRepa_ui ::
Integer -> Integer -> Integer -> System -> Set.Set Variable ->
(HistogramRepaVec, HistogramRepaVec, UV.Vector Double) -> Double ->
([(Set.Set (Set.Set Variable),(HistogramRepaVec,HistogramRepaVec))],Integer)
```

```
def parametersSystemsPartitionerMaxRollByMRepa_ui(mmax,umax,pmax,uu,kk,hr,y1):
...
```

There is no checking on the arguments and the cardinality of the searched is also returned.

Note that the *repa partitioners* are partly implemented in C.