test_scaling.py

#   Copyright 2024 - present The PyMC Developers
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#   Licensed under the Apache License, Version 2.0 (the "License");
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import warnings

import numpy as np

from pymc.tuning import scaling
from tests import models


def test_adjust_precision():
    a = np.array([-10, -0.01, 0, 10, 1e300, -np.inf, np.inf])
    with warnings.catch_warnings():
        warnings.filterwarnings("ignore", "divide by zero encountered in log", RuntimeWarning)
        a1 = scaling.adjust_precision(a)
    assert all((a1 > 0) & (a1 < 1e200))


def test_guess_scaling():
    start, model, _ = models.non_normal(n=5)
    a1 = scaling.guess_scaling(start, model=model)
    assert all((a1 > 0) & (a1 < 1e200))