writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}
	vars := mux.Vars(r)
	op := madmin.SiteResyncOp(vars["operation"])
	var (
		status madmin.SRResyncOpStatus
		err    error
	)
	switch op {
	case madmin.SiteResyncStart:
		status, err = globalSiteReplicationSys.startResync(ctx, objectAPI, peerSite)
	case madmin.SiteResyncCancel:

        for (SMBMessage op : pendingOps) {
            try {
                ChannelInfo alternativeChannel = manager.selectChannel(op);
                alternativeChannel.getTransport().send(op);
            } catch (Exception e) {
                log.error("Failed to redistribute operation", e);
                // Notify waiting threads of failure
                op.notifyError(e);
            }
        }

TF_Operation* Mul(TF_Operation* l, TF_Operation* r, TF_Graph* graph,
                  TF_Status* s, const char* name = "mul");

// If `op_device` is non-empty, set the created op on that device.
TF_Operation* MinWithDevice(TF_Operation* l, TF_Operation* r, TF_Graph* graph,
                            const string& op_device, TF_Status* s,
                            const char* name = "min");

        final String password = form.password;
        form.clearSecurityInfo();
        try {
            final HtmlResponse loginRedirect = fessLoginAssist.loginRedirect(new LocalUserCredential(username, password), op -> {}, () -> {
                activityHelper.login(getUserBean());
                userInfoHelper.deleteUserCodeFromCookie(request);
                return getHtmlResponse();
            });

                            /*use_function=*/!std::get<2>(GetParam()));
  ASSERT_EQ(error::INVALID_ARGUMENT, s.code());
  ASSERT_EQ(
      "Provided null gradient_function for 'Neg'.\nIf the intent is to treat "
      "this op as non-differentiable consider using RegisterNotDifferentiable "
      "or NotDifferentiableGradientFunction.",
      s.message());
  ASSERT_EQ(nullptr, outputs[0]);
}

        }
        saveInfo(messages -> messages.addSuccessBulkProcessStarted(GLOBAL));
        return redirect(getClass()); // no-op
    }

    /**
     * Import the file asynchronously.
     * @param fileName The file name.
     * @param tempFile The temporary file.
     */

# ops. Since other languages use the same libtensorflow_framework.so, op
# libraries are language agnostic.
#
# This shared object is not used unless framework_shared_object=true (set in the
# configure script unconditionally); otherwise if it is false or undefined, the
# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that

     * @return edit body containing the entity data
     */
    protected EditBody createEditBody(final PathMapping entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, op -> op.exclude(Constants.COMMON_CONVERSION_RULE));
        return body;
    }

        }
        /*
         * It would perhaps be better to do this more selectively instead of applying this transform so broadly and having
         * it just no-op in most cases.
         */
        registerTransform(Minify::class) {
            from.attribute(minified, false).attribute(artifactType, "jar")
            to.attribute(minified, true).attribute(artifactType, "jar")

        return processor.process(object);
    }

    /**
     * Load the first available processor implementation.
     */
    private static ModelObjectProcessor loadProcessor() {
        /*
         * No-op processor that returns objects unchanged.
         */
        class NoOpProcessor implements ModelObjectProcessor {
            @Override
            public <T> T process(T object) {
                return object;