@Test
        @DisplayName("Should handle null expiration")
        void testNullExpiration() {
            response.setExpiration(null);

            assertNull(response.getExpiration());
        }
    }

    @Nested
    @DisplayName("Async Handling Tests")
    class AsyncHandlingTests {

        @Test
        @DisplayName("Should get and set async handled")
        void testAsyncHandled() {

        verifyNoInteractions(mockDir);
    }

    /**
     * Invalid/null inputs: ensure filters can handle null name and dir.
     */
    @ParameterizedTest
    @DisplayName("null and empty names are handled explicitly")
    @NullAndEmptySource
    @ValueSource(strings = { " \t\n" })
    void handlesNullAndEmptyNames(String name) throws Exception {

  virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

jiuker <******@****.***> 1754621164 +0800

        void shouldExecuteStrategiesInPriorityOrder() throws Exception {
            // This test verifies that strategies are executed in the order they are provided
            // The actual priority ordering is handled by dependency injection
            UpgradeContext context = createMockContext();
            Map<Path, Document> pomMap = Map.of(Paths.get("pom.xml"), mock(Document.class));

            // Mock all strategies as applicable

// Create a packed TensorHandle with the given list of TensorHandles.
// If `handles` are on the same device, assign the same device to the packed
// handle; if `handles` are on different deivces, assign a CompositeDevice to
// it.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_CreatePackedTensorHandle(
    TFE_Context* ctx, TFE_TensorHandle** handles, int* num_handles,
    TF_Status* status);

    tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle =
        tensorflow::unwrap(handles[i]);
    if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =

        void shouldCompareVersionsCorrectly() {
            // Based on the actual implementation, it only handles specific cases
            assertTrue(ModelVersionUtils.isVersionGreaterOrEqual("4.1.0", "4.1.0"));
            assertFalse(ModelVersionUtils.isVersionGreaterOrEqual("4.0.0", "4.1.0"));
            // The implementation doesn't handle 4.1.0 >= 4.0.0 comparison
            assertFalse(ModelVersionUtils.isVersionGreaterOrEqual("4.1.0", "4.0.0"));

// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package handlers

import (
	"context"
	"net"
	"net/http"
	"net/http/httputil"
	"net/url"
	"strings"
	"time"

	"github.com/minio/minio/internal/bpool"
)

Ian Roberts <******@****.***> 1757180326 +0100