PriorOracle

import numpy as np

def randomPrior():
    '''randomly chooses a type of distribution then randomly selects
    parameters based on limitations of said distribution'''

    possPriors = {"Cauchy": {"loc": [-100,100], "scale": [0,100]},
     "Normal": {"mean": [-100,100],
      "sd": [0,100]},
    "InverseGamma": {"a": [0,100], "b":[0,100]},
     "Gamma": {"a": [0,100], "b":[0,100]},
      "Poisson": {"lambda": [0,100]}}

    prior = np.random.choice(list(possPriors.keys()), size = 1)

    string = prior[0].upper() + "(" #CAPS name and first paren
    selected = possPriors[prior[0]]

    for item in selected: #for each parameter
        param = int(np.random.uniform(selected[item][0],selected[item][1])) #lazy uniform sampling
        string = string + str(param) + ","

    string = string[:-1] #get rid of last comma
    string += ")!" #close paren
    return(string)



print(randomPrior())