* - median with compute taking a double-collection and with computeInPlace;
   * - quartiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace;
   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;

   * - median with compute taking a double-collection and with computeInPlace;
   * - quartiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace;
   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;

        with:
          # To be able to commit it needs to fetch the head of the branch, not the
          # merge commit
          ref: ${{ github.head_ref }}
          # And it needs the full history to be able to compute diffs
          fetch-depth: 0
          # A token other than the default GITHUB_TOKEN is needed to be able to trigger CI
          token: ${{ secrets.PRE_COMMIT }}

                .getOrDefault(artifact.getBaseVersion(), null);
    }

    // groupId -> (artifactId -> (version -> project)))
    private Map<String, Map<String, Map<String, MavenProject>>> getAllProjects() {
        // compute the projects mapping
        if (allProjects == null) {
            List<MavenProject> allProjects = session.getAllProjects();
            if (allProjects != null) {

common:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current

            // Performance assertion - should complete within reasonable time
            long duration = endTime - startTime;
            assertTrue(duration < 5000, "Artifact computation should complete within 5 seconds for 100 POMs");

            // Verify correctness
            assertNotNull(gavs, "Artifact set should not be null");
            assertEquals(100, gavs.size(), "Should have computed GAVs for all 100 POMs");
        }
    }

                            + correctRelativePathStr + "'");
                    return true;
                }
            } catch (Exception e) {
                context.failure("Failed to compute correct relativePath" + ": " + e.getMessage());
            }
        }

        return false;
    }

    /**
     * Recursively finds all elements with a specific attribute value.
     */

  //      */
  //     public abstract class CheckedRecursiveAction extends RecursiveAction {
  //         protected abstract void realCompute() throws Throwable;

  //         public final void compute() {
  //             try {
  //                 realCompute();
  //             } catch (Throwable t) {
  //                 threadUnexpectedException(t);
  //             }
  //         }
  //     }

        Set<Path> processedPoms = new HashSet<>();
        Set<Path> modifiedPoms = new HashSet<>();
        Set<Path> errorPoms = new HashSet<>();

        // Compute all GAVs for inference
        Set<Coordinates> allGAVs = computeAllArtifactCoordinates(context, pomMap);

        for (Map.Entry<Path, Document> entry : pomMap.entrySet()) {
            Path pomPath = entry.getKey();

    assertThrows(UnsupportedOperationException.class, () -> unmod.computeIfPresent(4, (k, v) -> v));
    assertThrows(UnsupportedOperationException.class, () -> unmod.compute(4, (k, v) -> v));
    assertThrows(UnsupportedOperationException.class, () -> unmod.merge(4, "four", (k, v) -> v));
    assertThrows(UnsupportedOperationException.class, () -> unmod.clear());