} else {
                    result = evaluator.evaluate(value);
                }
            }
            if (null == result && configuration.getChildCount() == 0) {
                value = configuration.getAttribute("default-value");
                if (null != value && !value.isEmpty()) {

        XmlNode toXml(PlexusConfiguration config, ExpressionEvaluator evaluator) throws ExpressionEvaluationException {
            List<XmlNode> children = new ArrayList<>();
            for (PlexusConfiguration c : config.getChildren()) {
                children.add(toXml(c, evaluator));
            }
            String name = config.getName();
            Object value = evaluator.evaluate(config.getValue());

  
  However, the Job controller creates a replacement Pod as soon as the termination becomes apparent.
  Once the pod terminates, the Job controller evaluates `.backoffLimit` and `.podFailurePolicy` for the
  relevant Job, taking this now-terminated Pod into consideration.
  
  This behavior is limited to Jobs with `.spec.podFailurePolicy` set, and only when those two feature

*   The `SidecarEvaluatorModelExport` callback has been added to Keras as `keras.callbacks.SidecarEvaluatorModelExport`. This callback allows for exporting the model the best-scoring model as evaluated by a `SidecarEvaluator` evaluator. The evaluator regularly evaluates the model and exports it if the user-defined comparison function determines that it is an improvement.

        params.put("test", "value");

        assertNull(queryRescorer.evaluate(params)); // First call - odd
        assertNotNull(queryRescorer.evaluate(params)); // Second call - even
        assertNull(queryRescorer.evaluate(params)); // Third call - odd
        assertNotNull(queryRescorer.evaluate(params)); // Fourth call - even
    }

    /**

    // Test evaluate method with empty template
    @Test
    public void test_evaluate_withEmptyTemplate() {
        String template = "";
        Map<String, Object> paramMap = new HashMap<>();
        paramMap.put("key", "value");

        Object result = scriptEngine.evaluate(template, paramMap);
        assertEquals("", result);
    }

    // Test evaluate method with null template
    @Test

                return 50;
            }
        });

        Map<String, Object> params = new HashMap<>();
        params.put("param1", "value1");

        RescorerBuilder<?> result = ltrQueryRescorer.evaluate(params);
        assertNull(result);
    }

    @Test
    public void test_evaluate_withNullModelName() {
        // Test when model name is null
        ComponentUtil.setFessConfig(new FessConfig.SimpleImpl() {

        assertNull(ReflectionValueExtractor.evaluate("h.value[", value));
        assertNull(ReflectionValueExtractor.evaluate("h.value[]", value));
        assertNull(ReflectionValueExtractor.evaluate("h.value[a]", value));
        assertNull(ReflectionValueExtractor.evaluate("h.value[0", value));
        assertNull(ReflectionValueExtractor.evaluate("h.value[0)", value));

        assertEquals(testScriptEngine, retrieved);
    }

    // Test evaluate with null parameters
    @Test
    public void test_evaluate_nullParams() {
        Object result = testScriptEngine.evaluate("template", null);
        assertEquals("processed: template with params", result);
    }

    // Test evaluate with empty parameters
    @Test
    public void test_evaluate_emptyParams() {

    public void test_execute_scriptEngineReturnsNull() {
        // Setup engine that returns null
        scriptEngineFactory.add("nullEngine", new ScriptEngine() {
            @Override
            public Object evaluate(String template, Map<String, Object> paramMap) {
                return null;
            }
        });

        // Execute and verify null result