From 3a6b75d0c69c8a52af6ff809ecd05c4bc6ba21bf Mon Sep 17 00:00:00 2001 From: "Matthew N. White" Date: Sat, 15 Jun 2024 12:13:43 -0400 Subject: [PATCH] Version bump to 0.15.1 Also adjusts the restriction on numba. Will let tests run to make sure that works. --- Documentation/CHANGELOG.md | 9 ++++++--- HARK/__init__.py | 2 +- pyproject.toml | 2 +- requirements/base.txt | 2 +- 4 files changed, 9 insertions(+), 6 deletions(-) diff --git a/Documentation/CHANGELOG.md b/Documentation/CHANGELOG.md index a9f53ac19..ab9d67653 100644 --- a/Documentation/CHANGELOG.md +++ b/Documentation/CHANGELOG.md @@ -8,17 +8,20 @@ For more information on HARK, see [our Github organization](https://github.com/e ## Changes -### 0.15.1 (in development) +### 0.15.1 -Release Date: TBD +Release Date: June 15, 2024 + +This minor release was produced prior to CEF 2024 to enable public usage of HARK with the SSJ toolkit. #### Major Changes -none yet +none #### Minor Changes - Adds example of integration of HARK with SSJ toolkit. [#1447](https://github.com/econ-ark/HARK/pull/1447) +- Maintains compatibility between EconForge interpolation and numba [#1457](https://github.com/econ-ark/HARK/pull/1457) ### 0.15.0 diff --git a/HARK/__init__.py b/HARK/__init__.py index fec3e06ee..4c2064e96 100644 --- a/HARK/__init__.py +++ b/HARK/__init__.py @@ -1,6 +1,6 @@ from .core import * -__version__ = "0.15.0" +__version__ = "0.15.1" """ Logging tools for HARK. diff --git a/pyproject.toml b/pyproject.toml index 9127c5ab9..12ef76127 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "econ-ark" -version = "0.15.0" +version = "0.15.1" authors = [{name = "Econ-ARK team", email = "econ-ark@jhuecon.org"}] classifiers = [ "Development Status :: 3 - Alpha", diff --git a/requirements/base.txt b/requirements/base.txt index 430ad53d0..05ac8eb76 100644 --- a/requirements/base.txt +++ b/requirements/base.txt @@ -2,7 +2,7 @@ interpolation>=2.2.3 joblib>=1.2 matplotlib>=3.6 networkx>=3 -numba==0.59.1 +numba<0.60.0 numpy>=1.23 pandas>=1.5 quantecon