}

unsigned char TF_GetXlaAutoJitEnabled() {
  tensorflow::XlaAutoJitFlag flag =
      tensorflow::GetMarkForCompilationPassFlags()->xla_auto_jit_flag;
  return static_cast<unsigned char>(flag.optimization_level_single_gpu > 0 ||
                                    flag.optimization_level_general > 0);
}

unsigned char TF_GetXlaConstantFoldingDisabled() {
  return static_cast<unsigned char>(

            }
        }
    }

    @Test
    @DisplayName("Test constant values follow bit flag pattern")
    void testConstantsBitFlagPattern() {
        // Most values should be powers of 2 for bit flag usage
        assertTrue(isPowerOfTwo(SecurityInfo.OWNER_SECURITY_INFO));
        assertTrue(isPowerOfTwo(SecurityInfo.GROUP_SECURITY_INFO));

        assertEquals(0L, SMBUtil.readInt8(buffer, 0));

        // Check name length
        assertEquals(nameBytes.length, SMBUtil.readInt4(buffer, 8));

        // Check timeout specified flag (should be 0)
        assertEquals(0x0, buffer[12]);

        // Check padding
        assertEquals(0x0, buffer[13]);

        // Check name bytes
        byte[] encodedName = new byte[nameBytes.length];

	}
	testCases := []struct {
		bucketName string
		objectName string

		// Expected output of GetObjectInfo.
		result ObjectInfo
		err    error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{
		// Test cases with invalid bucket names ( Test number 1-4 ).
		{".test", "", ObjectInfo{}, BucketNameInvalid{Bucket: ".test"}, false},

// license that can be found in the LICENSE file.

package main

import (
	"flag"
	"fmt"
	"go/build"
	"internal/testenv"
	"os"
	"path/filepath"
	"slices"
	"strings"
	"sync"
	"testing"
)

var flagCheck = flag.Bool("check", false, "run API checks")

func TestMain(m *testing.M) {
	flag.Parse()
	for _, c := range contexts {
		c.Compiler = build.Default.Compiler
	}

    visibility = ["//visibility:public"],
)

# This flag disables generating tensorflow.lite.python under LiteRT repo.
# Avoid using flag for creating tflite wheels as tensorflow/lite is not yet fully split from tf.
config_setting(
    name = "disable_tf_lite_py",
    define_values = {"disable_tf_lite_py": "true"},
    visibility = ["//visibility:public"],
)

# This flag enables experimental MLIR support.
config_setting(

        }
    }

    private Dummy msg;

    @BeforeEach
    void setUp() {
        msg = new Dummy();
    }

    // ---------------- Flag manipulation tests -----------------
    @Test
    @DisplayName("Default flag value is zero")
    void testDefaultFlags() {
        assertEquals(0, msg.getFlags(), "Initial flags should be 0");
    }

     *
     * @return true if a previous page exists, false otherwise
     */
    public boolean isExistPrePage() {
        return existPrePage;
    }

    /**
     * Sets the flag indicating whether a previous page exists.
     *
     * @param existPrePage true if a previous page exists, false otherwise
     */
    public void setExistPrePage(final boolean existPrePage) {

     */
    private int allRecordCount;

    /**
     * Total number of pages.
     */
    private int allPageCount;

    /**
     * Flag indicating whether a previous page exists.
     */
    private boolean existPrePage;

    /**
     * Flag indicating whether a next page exists.
     */
    private boolean existNextPage;

    /**
     * List of page numbers for pagination navigation.
     */

    /** The domain controller for authentication */
    private String domainController;

    /** Flag to enable load balancing across domain controllers */
    private boolean loadBalance;

    /** Flag to enable basic authentication */
    private boolean enableBasic;

    /** Flag to allow insecure basic authentication */
    private boolean insecureBasic;

    /** The authentication realm */