"verbs": [
                    "get",
                    "patch",
                    "update"
                  ]
                }
              ],
              "verbs": [
                "create",
                "delete",
                "deletecollection",
                "get",
                "list",
                "patch",
                "update",
                "watch"
              ]

                  "verbs": [
                    "get",
                    "patch",
                    "update"
                  ]
                }
              ],
              "verbs": [
                "create",
                "delete",
                "deletecollection",
                "get",
                "list",
                "patch",
                "update",
                "watch"
              ]

    auto min_scaled =
        rewriter.create<DivOp>(op.getLoc(), float_min, quant_to_float);
    auto min_scaled_sub =
        rewriter.create<SubOp>(op.getLoc(), quant_min, min_scaled);

    auto mid_rounded =
        rewriter.create<RoundOp>(op.getLoc(), scalar_ty, min_scaled_sub);

    auto nudged_zero_point_val = rewriter.create<ClipByValueOp>(

		expectError    string
	}{
		"create allowed, enabled": {
			operation:      admission.Create,
			obj:            sliceNode,
			featureEnabled: true,
			expectError:    "",
		},
		"create disallowed, enabled": {
			operation:      admission.Create,
			obj:            sliceOtherNode,
			featureEnabled: true,
			expectError:    err,
		},
		"create allowed, disabled": {

func TestXLStorageReadAll(t *testing.T) {
	// create xlStorage test setup
	xlStorage, _, err := newXLStorageTestSetup(t)
	if err != nil {
		t.Fatalf("Unable to create xlStorage test setup, %s", err)
	}

	// Create files for the test cases.
	if err = xlStorage.MakeVol(context.Background(), "exists"); err != nil {
		t.Fatalf("Unable to create a volume \"exists\", %s", err)
	}

        stringFactory.create() == "hello"

        def numberFactory = registry.get(numberFactoryType)
        numberFactory.create() == 12
    }

    def canGetAFactoryUsingFactoryTypeWithBounds() throws NoSuchFieldException {
        expect:
        def superBigDecimalFactory = registry.get(superBigDecimalFactoryType)
        superBigDecimalFactory.create() == BigDecimal.valueOf(0)

      tensorflow::GetTypeFromTFTensorShape({1}, shape_dtype);
  auto expanded_start_index = rewriter->create<TF::ExpandDimsOp>(
      loc, vector_type, start_index, scalar_zero);
  auto start_position = rewriter->create<TF::ConcatOp>(
      loc, position_type, scalar_zero,
      ArrayRef<Value>({expanded_start_index, partial_start_position}));

  // Create the slice size tensor. This is done by concatenating `size` and
  // `partial_size`.

	public static final fun create (Lokhttp3/MediaType;[B)Lokhttp3/RequestBody;
	public static final fun create (Lokhttp3/MediaType;[BI)Lokhttp3/RequestBody;
	public static final fun create (Lokhttp3/MediaType;[BII)Lokhttp3/RequestBody;
	public static final fun create (Lokio/ByteString;Lokhttp3/MediaType;)Lokhttp3/RequestBody;

  // Create return op for device computation region in the paralle_execute op
  Operation* after_op_r = builder.create<mlir::tf_device::ReturnOp>(
      new_device_cluster.getLoc(), device_results);

  builder.setInsertionPointToEnd(&parallel_execute_device_block);

  // Create return op for the new device cluster op
  builder.create<mlir::tf_device::ReturnOp>(device_cluster.getLoc(),

    auto begin_op =
        rewriter.create<arith::ConstantOp>(op->getLoc(), type, begin_attr);
    auto end_attr = DenseElementsAttr::get<int32_t>(type, padded_end);
    auto end_op =
        rewriter.create<arith::ConstantOp>(op->getLoc(), type, end_attr);
    auto stride_attr = DenseElementsAttr::get<int32_t>(type, padded_stride);
    auto stride_op =
        rewriter.create<arith::ConstantOp>(op->getLoc(), type, stride_attr);