register multiple parameters to an individual using DEAP

I have to integrate DEAP into a bigger frame work.

For testing I defined:

from deap import base
from deap import creator
from deap import tools
from collections import *
import random

NAME = 0
TYPE = 1
INITIAL = 2
MIN = 3
MAX = 4
CATEGORY = 5

IND_SIZE = 1

Data = OrderedDict()
Data['P1'] = ['distance' , float, 8.     ,7.9    ,8.1  , [] ]
Data['P2'] = ['velocity' , float, 80.    ,79.7   ,83.3 , [] ]
Data['P3'] = ['rigid'    , int  , 0      ,0      ,1    , ['false','true'] ]

toolbox = base.Toolbox()

for Key in Data:
    if Data[Key][TYPE] is float:
        toolbox.register(Data[Key][NAME], random.uniform, Data[Key][MIN], Data[Key][MAX])
    if Data[Key][TYPE] is int:
        toolbox.register(Data[Key][NAME], random.randint, Data[Key][MIN], Data[Key][MAX])

AttrSet = (toolbox.distance, toolbox.velocity,  toolbox.rigid)
toolbox.register("individual", tools.initCycle, creator.individual, AttrSet, IND_SIZE)

This runs as expected, but if the framework delivers Data with different len() AttrSet has to be changed, too

Is there a way to create AttrSet from Data, e.g. in the loop where the parameters are registered?

toolbox.register() always returns None, so this is not working.

Solution

You could use the Python built-in function getattr, which lets you get attributes of an object by name.

As explained in the docs: getattr(x, 'foobar') is equivalent to x.foobar.

So you could do something like:

toolbox = base.Toolbox()

AttrSet = []

for Key in Data:
    if Data[Key][TYPE] is float:
        toolbox.register(Data[Key][NAME], random.uniform, Data[Key][MIN], Data[Key][MAX])
    elif Data[Key][TYPE] is int:
        toolbox.register(Data[Key][NAME], random.randint, Data[Key][MIN], Data[Key][MAX])

    AttrSet.append(getattr(toolbox, Data[Key][NAME]))

toolbox.register("individual", tools.initCycle, creator.individual, AttrSet, IND_SIZE)