* table to be a view, but it means that the function will be applied many times for bulk
   * operations like {@link Table#containsValue} and {@code Table.toString()}. For this to perform
   * well, {@code function} should be fast. To avoid lazy evaluation when the returned table doesn't
   * need to be a view, copy the returned table into a new table of your choosing.
   *
   * @since 10.0
   */
  public static <

  for (const auto& type_and_idx : llvm::enumerate(func_type.getResults())) {
    size_t idx = type_and_idx.index();
    auto result_ty = mlir::cast<mlir::RankedTensorType>(type_and_idx.value());

    // If the result type isn't static, then the owner of the result may be a
    // cast op from a more specific bounded type to an unbounded dynamic type.
    // Use the bounded type to get the buffer size.

import org.gradle.api.internal.coerce.StringToEnumTransformer;
import org.gradle.api.internal.provider.support.LazyGroovySupport;
import org.gradle.api.provider.HasConfigurableValue;
import org.gradle.internal.Cast;
import org.gradle.internal.UncheckedException;
import org.gradle.internal.reflect.JavaPropertyReflectionUtil;
import org.gradle.internal.state.ModelObject;

import javax.annotation.Nullable;

import org.gradle.api.Action;
import org.gradle.api.JavaVersion;
import org.gradle.api.internal.file.temp.GradleUserHomeTemporaryFileProvider;
import org.gradle.initialization.GradleUserHomeDirProvider;
import org.gradle.internal.Cast;
import org.gradle.internal.SystemProperties;
import org.gradle.internal.file.FileMetadataAccessor;
import org.gradle.internal.jvm.Jvm;
import org.gradle.internal.nativeintegration.NativeCapabilities;

	}

	return nil
}

func initializeCSINode(host volume.VolumeHost) error {
	kvh, ok := host.(volume.KubeletVolumeHost)
	if !ok {
		klog.V(4).Info("Cast from VolumeHost to KubeletVolumeHost failed. Skipping CSINode initialization, not running on kubelet")
		return nil
	}
	kubeClient := host.GetKubeClient()
	if kubeClient == nil {

  return absl::OkStatus();
}

Status ConvertAttribute(const mlir::TF::FuncAttr& attr, bool remove_ref_type,
                        AttrValue* value) {
  TF_RETURN_IF_ERROR(ConvertAttribute(
      mlir::cast<mlir::FlatSymbolRefAttr>(attr.getName()), value));
  TF_RETURN_IF_ERROR(ConvertAttributes(attr.getAttrs().getValue(),
                                       /*attrs_to_ignore=*/{}, remove_ref_type,

   */
  static long load64(byte[] input, int offset) {
    // We don't want this in production code as this is the most critical part of the loop.
    assert input.length >= offset + 8;
    // Delegates to the fast (unsafe) version or the fallback.
    return byteArray.getLongLittleEndian(input, offset);
  }

  /**
   * Similar to load64, but allows offset + 8 > input.length, padding the result with zeroes. This

        def location = locations.find {
            locationType.isInstance(it)
        }
        assert location != null : "Expected a location of type $locationType, but found none."
        return locationType.cast(location)
    }

    @Override
    ReceivedAdditionalData getAdditionalData() {
       additionalData
    }

    @Override
    ReceivedException getException() {
        exception
    }

    // Build a function to serve as the GELU decomposition in the
    // shlo composite op.
    auto root = op->getParentOfType<ModuleOp>();
    auto func = BuildGELUDecomposition(
        rhs_add.getType().cast<RankedTensorType>(), rewriter, root.getBody());

    SymbolTable table(root);
    (void)table.renameToUnique(func, {});

    rewriter.setInsertionPointAfter(output_mul);

   */
  static long load64(byte[] input, int offset) {
    // We don't want this in production code as this is the most critical part of the loop.
    assert input.length >= offset + 8;
    // Delegates to the fast (unsafe) version or the fallback.
    return byteArray.getLongLittleEndian(input, offset);
  }

  /**
   * Similar to load64, but allows offset + 8 > input.length, padding the result with zeroes. This