// this behavior.
func adminMiddleware(f http.HandlerFunc, flags ...hFlag) http.HandlerFunc {
	// Collect all flags with bitwise-OR and assign operator
	var handlerFlags hFlag
	for _, flag := range flags {
		handlerFlags |= flag
	}

	// Get name of the handler using reflection.
	handlerName := getHandlerName(f, "adminAPIHandlers")

	var handler http.HandlerFunc = func(w http.ResponseWriter, r *http.Request) {

    /**
     * Constructs a ValidateNegotiateInfo request
     *
     * @param capabilities
     *            the client capabilities flags
     * @param clientGuid
     *            the client GUID
     * @param securityMode
     *            the security mode flags
     * @param dialects
     *            the SMB dialects supported by the client
     */

        // Verify that the constructor correctly sets ptype and flags
        // These values are inherited from LsarClose, but MsrpcLsarClose sets them in its constructor
        assertEquals(0, msrpcLsarClose.getPtype(), "ptype should be 0");
        assertEquals(DcerpcConstants.DCERPC_FIRST_FRAG | DcerpcConstants.DCERPC_LAST_FRAG, msrpcLsarClose.getFlags(),
                "flags should be DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG");

    bazel by doing as follows:

    ```bash
    export flags="--config=linux -k"
    ```

    If the tests are to be run on the GPU:

    *   For TensorFlow versions starting from v.2.18.0: Add the `cuda` option
        flag.

        ```bash
        export flags="--config=linux --config=cuda -k"
        ```

	// as UTF-8, they will need to set the flag bit themselves.
	utf8Valid1, utf8Require1 := detectUTF8(fh.Name)
	utf8Valid2, utf8Require2 := detectUTF8(fh.Comment)
	switch {
	case fh.NonUTF8:
		fh.Flags &^= 0x800
	case (utf8Require1 || utf8Require2) && (utf8Valid1 && utf8Valid2):
		fh.Flags |= 0x800
	}

# "contrib".
if "__all__" in vars():
  vars()["__all__"].append("contrib")

from tensorflow.python.platform import flags
# The "app" module will be imported as part of the placeholder section above.
_current_module.app.flags = flags  # pylint: disable=undefined-variable
setattr(_current_module, "flags", flags)

_major_api_version = 1

# Add module aliases from Keras to TF.
# Some tf endpoints actually lives under Keras.

                    msg.flags &= ~DCERPC_LAST_FRAG;
                    n = max_xmit - 24;
                } else {
                    msg.flags |= DCERPC_LAST_FRAG;
                    isDirect = false;
                    msg.alloc_hint = n;
                }

                msg.length = 24 + n;

                if (off > 0) {
                    msg.flags &= ~DCERPC_FIRST_FRAG;
                }

                + ",maxParameterCount=" + maxParameterCount + ",maxDataCount=" + maxDataCount + ",maxSetupCount=" + (int) maxSetupCount
                + ",flags=0x" + Hexdump.toHexString(flags, 2) + ",timeout=" + timeout + ",parameterCount=" + parameterCount
                + ",parameterOffset=" + parameterOffset + ",parameterDisplacement=" + parameterDisplacement + ",dataCount=" + dataCount

        assertTrue(type1Token.length > 0);

        // Decode the token to verify its properties
        Type1Message type1Message = new Type1Message(type1Token);
        // Type1Message ORs default flags with provided flags; ensure expected bits are present
        assertTrue((type1Message.getFlags() & context.ntlmsspFlags) == context.ntlmsspFlags);
        assertEquals(domain, type1Message.getSuppliedDomain());
    }

    @Test

                // need fragementation
                msg.flags &= ~DCERPC_LAST_FRAG;
                fragSize = this.max_xmit - 24;
            } else {
                msg.flags |= DCERPC_LAST_FRAG;
                msg.alloc_hint = fragSize;
            }

            msg.length = 24 + fragSize;

            if (off > 0) {
                msg.flags &= ~DCERPC_FIRST_FRAG;
            }