Confirmed Numpy v2 support

Fixes #20

README.md

@@ -19,8 +19,6 @@ pip install RobustOCS/
 
 Either way, the package depends on Python 3.10+, using [NumPy](https://pypi.org/project/numpy) for linear algebra and [SciPy](https://scipy.org) for sparse matrix objects. As a solver it can either use [Gurobi](https://www.gurobi.com) (commercial) via [gurobipy](https://pypi.org/project/gurobipy) or [HiGHS](https://highs.dev) (free software) via [highspy](https://pypi.org/project/highspy).
 
-[NumPy v2 support]: https://support.gurobi.com/hc/en-us/articles/25787048531601-Compatibility-issues-with-numpy-2-0
-
 ## Examples
 
 The [GitHub wiki] includes documentation written by which explains the usage and parameters in more detail, alongside some worked examples (the data for which is in [`examples/`](examples/)). This includes a realistic simulated example from [Gregor Gorjanc] and [Ivan Pocrnić].

pyproject.toml

@@ -6,12 +6,14 @@ build-backend = "hatchling.build"
 name = "robustocs"
 version = "0.0.1"
 dependencies = [
-    "numpy >= 1.21, < 2.0.0",
+    "numpy >= 1.21",
     "scipy >= 1.8.0",
-    "gurobipy >= 11.0.0",
+    # NLP added in 11.0.0, NumPy 2.x support in this version
+    "gurobipy >= 11.0.3",
+    # HiGHS modelling language commands were added in this version 
     "highspy >= 1.7.2",
 ]
-requires-python = ">=3.10"
+requires-python = ">= 3.10"
 authors = [
     { name="Josh Fogg", email="j.fogg@ed.ac.uk" },
 ]