* mentioned in the method Javadoc does in fact compile.
   */

  @SuppressWarnings("unused") // compilation test
  public void testSampleCodeError1() {
    Optional<Integer> optionalInt = getSomeOptionalInt();
    // Number value = optionalInt.or(0.5); // error
  }

  @SuppressWarnings("unused") // compilation test
  public void testSampleCodeError2() {
    FluentIterable<? extends Number> numbers = getSomeNumbers();

and there are no missing null checks.

## Decision

Use "NullAway" in JSpecify mode to check for null-related errors in Java code.

Consider improper uses of `null` detected by NullAway a compilation error (not a warning, and not a separate CI job to test).

Do not suppress NullAway errors without a justification.

        <dslContextParameter.branch>master</dslContextParameter.branch>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <!-- https://kotlinlang.org/docs/maven.html#enable-incremental-compilation -->
        <kotlin.compiler.incremental>true</kotlin.compiler.incremental>
    </properties>
    <groupId>Gradle_Check</groupId>
    <artifactId>Gradle_Check_dsl</artifactId>
    <version>1.0-SNAPSHOT</version>

            // or restricted access to system resources. This is acceptable.
            // We primarily want to ensure the method can be called without compilation errors

            // Log the exception for debugging purposes but don't fail the test
            System.out.println("Expected exception in test environment: " + t.getClass().getSimpleName() + ": " + t.getMessage());

 */
val keepPatterns = mapOf(
    "it.unimi.dsi:fastutil" to setOf(
        // For persistence cache
        "it.unimi.dsi.fastutil.longs.Long2IntOpenHashMap",
        // For Java compilation incremental analysis
        "it.unimi.dsi.fastutil.ints.IntOpenHashSet",
        "it.unimi.dsi.fastutil.ints.IntSets",
        // For the embedded Kotlin compiler
        "it.unimi.dsi.fastutil.ints.Int2ObjectMap",

            "errorprone",
            project.objects.property<Boolean>()
        ).apply {
            // Enable it only for the main source set by default, as incremental Groovy
            // joint-compilation doesn't work with the Error Prone annotation processor
            enabled.convention(isMainSourceSet)
        }

        if (isMainSourceSet) {

                        classLoader.close();
                    } catch (final IOException closeEx) {
                        logger.warn("Failed to close GroovyClassLoader after compilation failure", closeEx);
                    }
                    throw e;
                }
            });
        } catch (final ExecutionException e) {
            throw (RuntimeException) e.getCause();

    nums.add(3);
    Predicate<Integer> isThree = Predicates.in(nums);
    assertFalse(isThree.apply(3));
  }

  /*
   * Tests that compilation will work when applying explicit types.
   */
  @SuppressWarnings("unused") // compilation test
  public void testIn_compilesWithExplicitSupertype() {
    Collection<Number> nums = ImmutableSet.of();
    Predicate<Number> p1 = Predicates.in(nums);

      }
      return ImmutableMap.copyOf(map);
    }
  }

  /**
   * Any updates to LocalCache.Strength used in CacheBuilder need to be matched in this class for
   * compilation purposes.
   */
  enum Strength {
    /*
     * TODO(kevinb): If we strongly reference the value and aren't loading, we needn't wrap the
     * value. This could save ~8 bytes per entry.
     */

# Set lld as the linker.
common:cuda_clang --host_linkopt="-fuse-ld=lld"
common:cuda_clang --host_linkopt="-lm"
common:cuda_clang --linkopt="-fuse-ld=lld"
common:cuda_clang --linkopt="-lm"

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.
common:cuda_clang_official --config=cuda_clang
common:cuda_clang_official --config=cuda_version

# Build with nvcc for CUDA and clang for host