*/
@ExtendWith(MockitoExtension.class)
class NetbiosAddressTest {

    @Test
    void testConstantValues() {
        // Test that constants are properly defined
        assertEquals("*\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000",
                NbtAddress.ANY_HOSTS_NAME);

                final int _arrays = this.count;
                _dst.enc_ndr_long(_arrays);
                final int _arrayi = _dst.index;
                _dst.advance(4 * _arrays);

                _dst = _dst.derive(_arrayi);
                for (int _i = 0; _i < _arrays; _i++) {
                    this.array[_i].encode(_dst);
                }
            }
        }

        @Override

- Unlocked the `CSIMigrationvSphere` feature gate. The change allow users to continue using the in-tree vSphere driver,pending a vSphere CSI driver release that has with GA support for Windows, XFS, and raw block access. ([#116396](https://github.com/kubernetes/kubernetes/pull/116396), [@msau42](https://github.com/msau42)) [SIG Storage]

### Bug or Regression

package gorm

import (
	"context"
	"database/sql"
	"database/sql/driver"
	"errors"
	"reflect"
	"sync"
	"time"

	"gorm.io/gorm/internal/stmt_store"
)

type PreparedStmtDB struct {
	Stmts stmt_store.Store
	Mux   *sync.RWMutex
	ConnPool
}

// NewPreparedStmtDB creates and initializes a new instance of PreparedStmtDB.
//
// Parameters:

void TF_DeleteServer(TF_Server* server) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  delete server;
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

void TF_RegisterLogListener(void (*listener)(const char*)) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::logging::RegisterListener(listener);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

  <<<default>>> lifecycle is defined only with phases, <<without>> any associated plugin binding:
  plugins bindings for this lifecycle are {{{./default-bindings.html}defined separately for each packaging}}:

%{snippet|id=default|file=${project.basedir}/src/main/java/org/apache/maven/internal/impl/DefaultLifecycleRegistry.java}

* <<<clean>>> Lifecycle

  <<<clean>>> lifecycle phases are defined with their plugins bindings:

	switch word {
	case "BC", "BCL", "BEQ", "BGE", "BGT", "BL", "BLE", "BLT", "BNE", "BR", "BVC", "BVS", "BDNZ", "BDZ", "CALL", "JMP":
		return true
	}
	return false
}

// IsPPC64CMP reports whether the op (as defined by an ppc64.A* constant) is
// one of the CMP instructions that require special handling.
func IsPPC64CMP(op obj.As) bool {
	switch op {

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...

  ASSERT_EQ(TF_OK, code) << status_msg;
  TF_DeletePluggableDeviceLibraryHandle(lib);
#endif  // !defined(TENSORFLOW_NO_SHARED_OBJECTS)
#endif  // !defined(PLATFORM_WINDOWS)
}

TEST(CAPI_EXPERIMENTAL, LibraryNextPluggableDeviceLoadFunctions) {
  // TODO(penpornk): Enable this test on Windows.
#if !defined(PLATFORM_WINDOWS)
#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  // Load the library.
  TF_Status* status = TF_NewStatus();

## Configuring AD/LDAP on MinIO