Function fixed_model_params

tests/python/test_docexamples_f32.py:677–688

()

def test_custom_model_ans():
    def fixed_model_params():
        model_scipy = scipy.stats.cauchy(loc=10.3, scale=5.8)
        # Wrap the scipy-model in a `CustomModel`, which will implicitly
        # quantize it to integers in the given range from -100 to 100 (both
        # ends inclusively).
        model = constriction.stream.model.CustomModel(
            model_scipy.cdf, model_scipy.ppf, -100, 100)

        symbols = np.array([5, 14, -1, 21], dtype=np.int32)
        coder = constriction.stream.stack.AnsCoder()
        coder.encode_reverse(symbols, model)
        assert np.all(coder.decode(model, 4) == symbols)

    def variable_model_params():
        # The optional argument `params` will receive a 1-d python array when