* Allow setting "org.bytedeco.openblas.load" system property to "none" (issue #1203)

Author: saudet

CHANGELOG.md

@@ -1,4 +1,5 @@
 
+ * Allow setting "org.bytedeco.openblas.load" system property to "none" ([issue #1203](https://github.com/bytedeco/javacpp-presets/issues/1203))
  * Fix presets for the CUPTI module of CUDA on Windows ([pull #1576](https://github.com/bytedeco/javacpp-presets/pull/1576))
  * Introduce `macosx-arm64` builds for ARPACK-NG, CMINPACK, FFTW, GSL, TensorFlow Lite, ONNX, ONNX Runtime ([issue #1069](https://github.com/bytedeco/javacpp-presets/issues/1069))
  * Upgrade presets for OpenCV 4.11.0, DNNL 3.6.2, CPython 3.13.1, NumPy 2.2.1, SciPy 1.15.1, LLVM 19.1.6, PyTorch 2.6.0, ONNX Runtime 1.20.1

openblas/README.md

@@ -20,7 +20,7 @@ Java API documentation is available here:
 
  * http://bytedeco.org/javacpp-presets/openblas/apidocs/
 
-∗ The JNI bindings can instead link with [Intel MKL](https://software.intel.com/mkl), or any other arbitrary library found on the "java.library.path" or on the class path, by specifying it with the "org.bytedeco.openblas.load" system property. For example, to use the BLAS library from the [Accelerate framework](https://developer.apple.com/documentation/accelerate) on Mac OS X, we can pass options such as `-Djava.library.path=/usr/lib/ -Dorg.bytedeco.openblas.load=blas`, while for a default installation of MKL that would be `-Dorg.bytedeco.openblas.load=mkl_rt`.
+∗ The JNI bindings can instead link with [Intel MKL](https://software.intel.com/mkl), or any other arbitrary library found on the "java.library.path" or on the class path, by specifying it with the "org.bytedeco.openblas.load" system property. For example, to use the BLAS library from the [Accelerate framework](https://developer.apple.com/documentation/accelerate) on Mac OS X, we can pass options such as `-Djava.library.path=/usr/lib/ -Dorg.bytedeco.openblas.load=blas`, while for a default installation of MKL that would be `-Dorg.bytedeco.openblas.load=mkl_rt`. The system property can also be set to "none" to avoid loading OpenBLAS at all.
 
 Intel also offers a stripped-down but free version of MKL named "MKLML" that is bundled with the [JavaCPP Presets for MKL-DNN](../mkl-dnn). After adding the JAR files for MKL-DNN to the class path, it can be accessed with an option like `-Dorg.bytedeco.openblas.load=mklml`. Moreover, it is now possible to do the same with the full version of MKL and the [JavaCPP Presets for MKL](../mkl) with the `-redist` artifacts in the class path and an option like `-Dorg.bytedeco.openblas.load=mkl_rt`.
 

openblas/src/main/java/org/bytedeco/openblas/presets/openblas_nolapack.java

@@ -1,5 +1,5 @@
 /*
- * Copyright (C) 2016-2024 Samuel Audet
+ * Copyright (C) 2016-2025 Samuel Audet
  *
  * Licensed either under the Apache License, Version 2.0, or (at your option)
  * under the terms of the GNU General Public License as published by
@@ -68,6 +68,7 @@ public class openblas_nolapack implements LoadEnabled, InfoMapper {
 
     @Override public void init(ClassProperties properties) {
         String platform = properties.getProperty("platform");
+        List<String> links = properties.get("platform.link");
         List<String> preloads = properties.get("platform.preload");
         List<String> resources = properties.get("platform.preloadresource");
         String className = getClass().getSimpleName(); // "openblas_nolapack" or "openblas"
@@ -105,7 +106,11 @@ public class openblas_nolapack implements LoadEnabled, InfoMapper {
             }
         }
 
-        if (lib.length() > 0) {
+        if (lib.equals("none")) {
+            links.clear();
+            preloads.clear();
+            properties.setProperty("platform.library", "#none#");
+        } else if (lib.length() > 0) {
             if (platform.startsWith("linux")) {
                 preloads.add(i, lib + "#" + className + "@.0");
             } else if (platform.startsWith("macosx")) {