human
I am working on the file "Person marking.ipynb".
The first task is:
Assume that the distribution of referent sets is uniform, which is probably not true.
Can you write Python code for it?
 Can you provide a the Python code you requested?
assistant
#Here is the Python code you requested.

import numpy

def sampler(p):
    
    def uniform():
        return numpy.random.choice(p)
    
    return uniform

referent_sampler = sampler(len(data))

import ndl

def activation(W):
    return pandas.DataFrame([ndl.activation(c, W) for c in data.Cues], index=data.index)

W = ndl.rw(data, M=100, distribution=referent_sampler)
A = activation(W)
A

pandas.DataFrame([data['Outcomes'], A.idxmax(1), A.idxmax(1) == data['Outcomes']], 
                 index = ['Truth', 'Prediction', 'Accurate?']).T