Generating Discrete random variables with specified weights using SciPy or NumPy

I am looking for a simple function that can generate an array of specified random values based on their corresponding (also specified) probabilities. I only need it to generate float values, but I don’t see why it shouldn’t be able to generate any scalar. I can think of many ways of building this from existing functions, but I think I probably just missed an obvious SciPy or NumPy function.

Monkey patching a class in another module in Python

I’m working with a module written by someone else. I’d like to monkey patch the __init__ method of a class defined in the module. The examples I have found showing how to do this have all assumed I’d be calling the class myself (e.g. Monkey-patch Python class). However, this is not the case. In my case the class is initalised within a function in another module. See the (greatly simplified) example below: