diff --git a/CHANGELOG.md b/CHANGELOG.md index e5aef9f00..63f4fa4eb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,20 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.18.1] - 2026-07-22 12:00:00 + +### Bug Fixes + +- Fixes Issue [#1180](https://github.com/PSLmodels/OG-Core/issues/1180): + `get_pop_objs` raised an `AssertionError` for the homogeneous case + (`income_percentiles=None` with no income-specific inputs), because + `expand_pop_obj_J` asserted before reaching its homogeneous branch. + `income_percentiles` now defaults to a single income group (J=1) when + no income-specific inputs are supplied, restoring the pre-0.18 call + signature; it remains required whenever gradients or immigrant income + shares are provided. Also removes a stray debug `print` from that + branch. + ## [0.18.0] - 2026-07-20 12:00:00 ### Added @@ -671,6 +685,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Any earlier versions of OG-USA can be found in the [`OG-Core`](https://github.com/PSLmodels/OG-Core) repository [release history](https://github.com/PSLmodels/OG-Core/releases) from [v.0.6.4](https://github.com/PSLmodels/OG-Core/releases/tag/v0.6.4) (Jul. 20, 2021) or earlier. +[0.18.1]: https://github.com/PSLmodels/OG-Core/compare/v0.18.0...v0.18.1 [0.18.0]: https://github.com/PSLmodels/OG-Core/compare/v0.17.0...v0.18.0 [0.17.0]: https://github.com/PSLmodels/OG-Core/compare/v0.16.4...v0.17.0 [0.16.4]: https://github.com/PSLmodels/OG-Core/compare/v0.16.3...v0.16.4 diff --git a/ogcore/__init__.py b/ogcore/__init__.py index c4ba78663..b847549f4 100644 --- a/ogcore/__init__.py +++ b/ogcore/__init__.py @@ -21,4 +21,4 @@ from ogcore.txfunc import * # noqa: F403 from ogcore.utils import * # noqa: F403 -__version__ = "0.18.0" +__version__ = "0.18.1" diff --git a/ogcore/demographics.py b/ogcore/demographics.py index b6ab120c1..86a85db46 100644 --- a/ogcore/demographics.py +++ b/ogcore/demographics.py @@ -901,9 +901,10 @@ def expand_pop_obj_J( The aggregate population path and rates are left unchanged. If income_percentiles is None and no income-specific inputs are - provided, the original aggregate objects are returned. Otherwise, - income_percentiles gives the initial population distribution across - J for every age and the income shares of newborns in every period. + provided, the aggregate objects are broadcast across a single + income group (J=1). Otherwise, income_percentiles gives the initial + population distribution across J for every age and the income + shares of newborns in every period. Args: omega_path_lev (Numpy array): T+S x E+S aggregate population levels. @@ -922,7 +923,9 @@ def expand_pop_obj_J( g_n_SS (float): steady-state population growth rate. fixper (int): period at which the fixed steady-state distribution is imposed. - income_percentiles (array_like): population shares for each J group. + income_percentiles (array_like): population shares for each J + group; defaults to a single income group when no + income-specific inputs are supplied. fert_gradient (array_like): log-odds fertility slopes by age. mort_gradient (array_like): log-odds mortality slopes by age. infmort_gradient (array_like): log-odds infant mortality slopes. @@ -939,10 +942,15 @@ def expand_pop_obj_J( infmort_gradient, imm_pctiles, ) - assert income_percentiles is not None, ( - "income_percentiles must be provided when using " - + "income-specific inputs." - ) + all_income_inputs_none = all(x is None for x in income_inputs) + if income_percentiles is None: + assert all_income_inputs_none, ( + "income_percentiles must be provided when using " + + "income-specific inputs." + ) + # No income heterogeneity requested: broadcast the aggregate + # objects across a single income group. + income_percentiles = [100] income_shares, pct_midpoints = _income_shares_and_midpoints( income_percentiles ) @@ -950,10 +958,7 @@ def expand_pop_obj_J( num_periods, totpers = omega_path_lev.shape assert totpers == E + S - all_income_inputs_none = all(x is None for x in income_inputs) - if all_income_inputs_none: - print("In the all are none case.") return { "omega_path_S": omega_path_S.reshape( omega_path_S.shape[0], omega_path_S.shape[1], 1 @@ -1147,7 +1152,9 @@ def get_pop_objs( for new immigrants, shape is num_per x S x J, where num_per is the number of years between initial and final_data_year income_percentiles (array_like): user provided income percentiles, - dimensions are J, the number of lifetime income groups + dimensions are J, the number of lifetime income groups; + defaults to a single income group (J=1) when no + income-specific inputs are supplied country_id (str): country id for UN data initial_data_year (int): initial year of data to use (not relevant if have user provided data) diff --git a/pyproject.toml b/pyproject.toml index bafc4512a..c0b8b77cf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "ogcore" -version = "0.18.0" +version = "0.18.1" authors = [ {name = "Jason DeBacker and Richard W. Evans"}, ] diff --git a/tests/test_demographics.py b/tests/test_demographics.py index 6d39071d6..14fe5fbf6 100644 --- a/tests/test_demographics.py +++ b/tests/test_demographics.py @@ -668,6 +668,96 @@ def test_expand_pop_obj_J_tiles_when_no_income_inputs(): ) +def test_expand_pop_obj_J_defaults_to_single_group(): + """ + Regression test for Issue #1180: with income_percentiles=None and no + income-specific inputs (the pre-0.18 call signature), the aggregate + objects must be broadcast across a single income group rather than + raising an AssertionError. + """ + E = 1 + S = 3 + num_periods = 5 + fixper = 2 + omega_SSfx = np.array([0.2, 0.3, 0.3, 0.2]) + omega_path_lev = np.tile(omega_SSfx.reshape(1, E + S), (num_periods, 1)) + omega_path_S = omega_path_lev[:, E:] / omega_path_lev[:, E:].sum( + axis=1 + ).reshape(num_periods, 1) + fert_rates = np.zeros((num_periods, E + S)) + mort_rates = np.tile( + np.array([0.01, 0.02, 0.03, 1.0]).reshape(1, E + S), + (num_periods, 1), + ) + infmort_rates = np.ones(num_periods) * 0.005 + imm_rates = np.zeros((num_periods, E + S)) + mort_rates_S = mort_rates[:, E:] + imm_rates_mat = imm_rates[:, E:] + + pop_objs = demographics.expand_pop_obj_J( + omega_path_lev, + omega_path_S, + omega_SSfx, + fert_rates, + mort_rates, + infmort_rates, + imm_rates, + mort_rates_S, + imm_rates_mat, + E, + S, + 0.0, + fixper, + ) + + assert pop_objs["omega_path_S"].shape == (num_periods, S, 1) + assert np.allclose(pop_objs["omega_path_S"][:, :, 0], omega_path_S) + assert pop_objs["omega_SS"].shape == (S, 1) + assert np.allclose(pop_objs["mort_rates_S"][:, :, 0], mort_rates_S) + assert np.allclose(pop_objs["imm_rates_mat"][:, :, 0], imm_rates_mat) + + +def test_expand_pop_obj_J_income_inputs_require_percentiles(): + """ + income_percentiles stays required when income-specific inputs are + supplied: providing a gradient without percentiles must raise. + """ + E = 1 + S = 3 + num_periods = 5 + fixper = 2 + omega_SSfx = np.array([0.2, 0.3, 0.3, 0.2]) + omega_path_lev = np.tile(omega_SSfx.reshape(1, E + S), (num_periods, 1)) + omega_path_S = omega_path_lev[:, E:] / omega_path_lev[:, E:].sum( + axis=1 + ).reshape(num_periods, 1) + fert_rates = np.zeros((num_periods, E + S)) + mort_rates = np.tile( + np.array([0.01, 0.02, 0.03, 1.0]).reshape(1, E + S), + (num_periods, 1), + ) + infmort_rates = np.ones(num_periods) * 0.005 + imm_rates = np.zeros((num_periods, E + S)) + + with pytest.raises(AssertionError, match="income_percentiles"): + demographics.expand_pop_obj_J( + omega_path_lev, + omega_path_S, + omega_SSfx, + fert_rates, + mort_rates, + infmort_rates, + imm_rates, + mort_rates[:, E:], + imm_rates[:, E:], + E, + S, + 0.0, + fixper, + mort_gradient=np.zeros(E + S), + ) + + def test_expand_pop_obj_J_preserves_aggregate_mortality_with_gradients(): """ Test that log-odds gradients generate bounded J-specific rates whose diff --git a/uv.lock b/uv.lock index 4ebe9de47..d05f1283d 100644 --- a/uv.lock +++ b/uv.lock @@ -1775,46 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