update prior tests

CHANGELOG.md

@@ -1,6 +1,8 @@
 # Changelog
 
 ## Unreleased
+* update prior `__new__` methods #1098 [MartinBubel]
+
 * fix invalid escape sequence #1011 [janmayer]
 
 ## v1.13.2 (2024-07-21)

GPy/core/parameterization/priors.py

@@ -580,7 +580,11 @@ class DGPLVM(Prior):
     domain = _REAL
 
     def __new__(cls, sigma2, lbl, x_shape):
-        return super(Prior, cls).__new__(cls, sigma2, lbl, x_shape)
+        newfunc = super(Prior, cls).__new__
+        if newfunc is object.__new__:
+            return newfunc(cls)
+        else:
+            return newfunc(cls, sigma2, lbl, x_shape)
 
     def __init__(self, sigma2, lbl, x_shape):
         self.sigma2 = sigma2

GPy/testing/test_prior.py

@@ -3,6 +3,21 @@
 import pytest
 import numpy as np
 import GPy
+from GPy.core.parameterization.priors import (
+    Gaussian,
+    Uniform,
+    LogGaussian,
+    MultivariateGaussian,
+    Gamma,
+    InverseGamma,
+    DGPLVM,
+    DGPLVM_KFDA,
+    DGPLVM_Lamda,
+    DGPLVM_T,
+    HalfT,
+    Exponential,
+    StudentT,
+)
 
 
 class TestPrior:
@@ -178,3 +193,90 @@ class TestPrior:
         # should raise an assertionerror.
         with pytest.raises(AssertionError):
             m.rbf.set_prior(gaussian)
+
+
+def initialize_gaussian_prior() -> None:
+    return Gaussian(0, 1)
+
+
+def initialize_uniform_prior() -> None:
+    return Uniform(0, 1)
+
+
+def initialize_log_gaussian_prior() -> None:
+    return LogGaussian(0, 1)
+
+
+def initialize_multivariate_gaussian_prior() -> None:
+    return MultivariateGaussian(np.zeros(2), np.eye(2))
+
+
+def initialize_gamma_prior() -> None:
+    return Gamma(1, 1)
+
+
+def initialize_inverse_gamma_prior() -> None:
+    return InverseGamma(1, 1)
+
+
+def initialize_dgplvm_prior() -> None:
+    # return DGPLVM(...)
+    raise NotImplementedError("No idea how to initialize this prior")
+
+
+def initialize_dgplvm_kfda_prior() -> None:
+    # return DGPLVM_KFDA(...)
+    raise NotImplementedError("No idea how to initialize this prior")
+
+
+def initialize_dgplvm_lamda_prior() -> None:
+    # return DGPLVM_Lamda(...)
+    raise NotImplementedError("No idea how to initialize this prior")
+
+
+def initialize_dgplvm_t_prior() -> None:
+    # return DGPLVM_T(1, 1, (1, 1))
+    raise NotImplementedError("No idea how to initialize this prior")
+
+
+def initialize_half_t_prior() -> None:
+    return HalfT(1, 1)
+
+
+def initialize_exponential_prior() -> None:
+    return Exponential(1)
+
+
+def initialize_student_t_prior() -> None:
+    return StudentT(1, 1, 1)
+
+
+PRIORS = {
+    "Gaussian": initialize_gaussian_prior,
+    "Uniform": initialize_uniform_prior,
+    "LogGaussian": initialize_log_gaussian_prior,
+    "MultivariateGaussian": initialize_multivariate_gaussian_prior,
+    "Gamma": initialize_gamma_prior,
+    "InverseGamma": initialize_inverse_gamma_prior,
+    # "DGPLVM": initialize_dgplvm_prior,
+    # "DGPLVM_KFDA": initialize_dgplvm_kfda_prior,
+    # "DGPLVM_Lamda": initialize_dgplvm_lamda_prior,
+    # "DGPLVM_T": initialize_dgplvm_t_prior,
+    "HalfT": initialize_half_t_prior,
+    "Exponential": initialize_exponential_prior,
+    "StudentT": initialize_student_t_prior,
+}
+
+
+def check_prior(prior_getter: str) -> None:
+    prior_getter()
+
+
+def test_priors() -> None:
+    for prior_name, prior_getter in PRIORS.items():
+        try:
+            check_prior(prior_getter)
+        except Exception as e:
+            raise RuntimeError(
+                f"Failed to initialize {prior_name} prior"
+            ) from e  # noqa E501