Add more parameter types to Parameters

Documentation/CHANGELOG.md

@@ -21,6 +21,7 @@ Release Date: TBD
 #### Minor Changes
 
 - Fixes bug in `AgentPopulation` that caused discretization of distributions to not work. [1275](https://github.com/econ-ark/HARK/pull/1275)
+- Adds support for distributions, booleans, and callables as parameters in the `Parameters` class. [1387](https://github.com/econ-ark/HARK/pull/1387)
 
 ### 0.15.1
 
@@ -59,7 +60,8 @@ This release drops support for Python 3.8 and 3.9, consistent with SPEC 0, and a
 
 #### Minor Changes
 
-- Add option to pass pre-built grid to `LinearFast`. [#1388](https://github.com/econ-ark/HARK/pull/1388)
+
+- Add option to pass pre-built grid to `LinearFast`. [1388](https://github.com/econ-ark/HARK/pull/1388)
 - Moves calculation of stable points out of ConsIndShock solver, into method called by post_solve [#1349](https://github.com/econ-ark/HARK/pull/1349)
 - Adds cubic spline interpolation and value function construction to "warm glow bequest" models.
 - Fixes cubic spline interpolation for ConsMedShockModel.

HARK/core.py

@@ -15,13 +15,11 @@
 from copy import copy, deepcopy
 from dataclasses import dataclass, field
 from time import time
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Callable, Dict, List, Optional, Union
 from warnings import warn
 
 import numpy as np
 import pandas as pd
-from xarray import DataArray
-
 from HARK.distribution import (
     Distribution,
     IndexDistribution,
@@ -30,6 +28,7 @@
 )
 from HARK.parallel import multi_thread_commands, multi_thread_commands_fake
 from HARK.utilities import NullFunc, get_arg_names
+from xarray import DataArray
 
 logging.basicConfig(format="%(message)s")
 _log = logging.getLogger("HARK")
@@ -104,11 +103,11 @@ def __infer_dims__(
         """
         Infers the age-varying dimensions of a parameter.
 
-        If the parameter is a scalar, numpy array, or None, it is assumed to be
-        invariant over time. If the parameter is a list or tuple, it is assumed
-        to be varying over time. If the parameter is a list or tuple of length
-        greater than 1, the length of the list or tuple must match the
-        `_term_age` attribute of the Parameters object.
+        If the parameter is a scalar, numpy array, boolean, distribution, callable or None,
+        it is assumed to be invariant over time. If the parameter is a list or
+        tuple, it is assumed to be varying over time. If the parameter is a list
+        or tuple of length greater than 1, the length of the list or tuple must match
+        the `_term_age` attribute of the Parameters object.
 
         Parameters
         ----------
@@ -118,7 +117,9 @@ def __infer_dims__(
             value of parameter
 
         """
-        if isinstance(value, (int, float, np.ndarray, type(None))):
+        if isinstance(
+            value, (int, float, np.ndarray, type(None), Distribution, bool, Callable)
+        ):
             self.__add_to_invariant__(key)
             return value
         if isinstance(value, (list, tuple)):

HARK/tests/test_core.py

@@ -184,12 +184,20 @@ def test_create_agents(self):
 
 class test_parameters(unittest.TestCase):
     def setUp(self):
-        self.params = Parameters(T_cycle=3, a=1, b=[2, 3, 4], c=np.array([5, 6, 7]))
+        self.params = Parameters(
+            T_cycle=3,
+            a=1,
+            b=[2, 3, 4],
+            c=np.array([5, 6, 7]),
+            d=[lambda x: x, lambda x: x**2, lambda x: x**3],
+            e=Uniform(),
+            f=[True, False, True],
+        )
 
     def test_init(self):
         self.assertEqual(self.params._length, 3)
-        self.assertEqual(self.params._invariant_params, {"a", "c"})
-        self.assertEqual(self.params._varying_params, {"b"})
+        self.assertEqual(self.params._invariant_params, {"a", "c", "e"})
+        self.assertEqual(self.params._varying_params, {"b", "d", "f"})
 
     def test_getitem(self):
         self.assertEqual(self.params["a"], 1)