String param = (String) gradleProperties.find(VERBOSE_CONSOLE);
            return VERBOSE_VALUE.equals(param);
        } catch (IllegalStateException e) {
            // Gradle properties are not loaded yet, which can happen in init scripts
            // let's return a default value
            LOGGER.warn("Gradle properties are not loaded yet, any customization to dependency verification will be ignored until the main build script is loaded.");

            // The root locator can be used very early during the setup of Maven,
            // even before the arguments from the command line are parsed.  Any exception
            // that would happen here should cause the build to fail at a later stage
            // (when actually parsing the POM) and will lead to a better exception being
            // displayed to the user, so just bail out and return false.
        }

    id: bug-description
    attributes:
      label: Bug Description
      description: Tell us what issues you ran into.
      placeholder: Include information about what you tried, what you expected to happen, and what actually happened. The more details, the better!
    validations:
      required: true
  - type: textarea
    id: version
    attributes:
      label: Version

    def "For every boolean is getter there is a get Getter"() {
        given:
        executer.requireDaemon().requireIsolatedDaemons() // We need to fork - if we do not fork Class-Decoration does not happen

        when:
        def convertedClasses = this.getClass().getResource( '/org/gradle/initialization/converted-types.txt' ).readLines()
        buildFile << """
            task checkHasGetters {

void XlaDeviceDummyOp::Compute(OpKernelContext* ctx) {
  LOG(FATAL) << "Attempted to execute Op " << name() << " type "
             << type_string() << " on an XLA device. This should never happen.";
}

XlaAssignVariableOp::XlaAssignVariableOp(OpKernelConstruction* c)
    : OpKernel(c) {
  OP_REQUIRES_OK(c, c->GetAttr("dtype", &dtype_));
}

void XlaAssignVariableOp::Compute(OpKernelContext* context) {

     * in `A` that takes the type parameter `T` (fake override). Given such a fake override symbol, [unwrapFakeOverrides] recovers the
     * original declared symbol.
     *
     * Such situation can also happen for intersection symbols (in case of multiple super types containing symbols with identical signature
     * after specialization) and delegation.
     */
    public val KaCallableSymbol.unwrapFakeOverrides: KaCallableSymbol

    auto sym = mlir::dyn_cast<SymbolRefAttr>(attr.getValue());
    if (!sym) continue;
    auto callee = symtab.lookup<func::FuncOp>(sym.getRootReference());
    if (!callee) {
      // This is not expected to happen in practice.
      return op->emitError()
             << "Cannot find function " << sym.getRootReference();
    }
    callees.push_back(callee);
  }
  return success();
}

	// are registered (in n.registeredHandlers); this can cause the dynamic filtering to miss events
	reg, err := n.informer.AddEventHandler(fh)
	if err != nil {
		// Should only happen if its already stopped. We should exit early.
		return
	}
	n.registeredHandlers = append(n.registeredHandlers, handlerRegistration{registration: reg, handler: h})
}

func (n *informerClient[T]) HasSynced() bool {
	if !n.informer.HasSynced() {
		return false

	return ok && (major > 4 || major == 4 && minor >= 11)
}

func doinit() {
	if err := readHWCAP(); err != nil {
		// We failed to read /proc/self/auxv. This can happen if the binary has
		// been given extra capabilities(7) with /bin/setcap.
		//
		// When this happens, we have two options. If the Linux kernel is new
		// enough (4.11+), we can read the arm64 registers directly which'll
		// trap into the kernel and then return back to userspace.

	// trying different nodes. This should not happen when it has
	// full knowledge about resource availability (=
	// PodSchedulingContext.*.UnsuitableNodes is complete) but may happen
	// when it doesn't (= PodSchedulingContext.*.UnsuitableNodes had to be
	// truncated).
	//
	// Truncation only happens for very large clusters and then may slow