`KafkaConsumer.consume()` Timeout Not Respected

### **Description**
It appears that the `consume` method in `Kafka.KafkaConsumer` does not adhere to the specified `setDefaultConsumeTimeout`. Instead, it waits for the full batch to be filled before triggering the callback. This behaviour causes delays when consuming from low-traffic topics, as the consumer remains idle until the batch size is satisfied.

### **Expected Behaviour**
The `consume` method should respect the `setDefaultConsumeTimeout` and return the available messages within the given time frame, even if the batch is not fully populated.

### **Actual Behaviour**
The consumer only returns after the batch size (`1000` in this case) is completely filled, ignoring the timeout.

### **Code to Reproduce**
```javascript
const Kafka = require("@confluentinc/kafka-javascript");
var consumer = new Kafka.KafkaConsumer({
"metadata.broker.list": "localhost:19092",
"group.id": "confluent-kafka-javascript-consumer-flow-example",
});

const topicName = "slowtopic";
const batch = 1000;

consumer.setDefaultConsumeTimeout(100);

consumer.on("ready", function () {
console.log("Consumer ready.");
consumer.subscribe([topicName]);
consume();
});

function consume() {
if (!consumer.isConnected()) return;
console.time("Consume batch timing");
consumer.consume(batch, (err, messages) => {
if (err) {
console.error(err);
return;
}
console.log(`Received ${messages.length} messages`);
console.timeEnd("Consume batch timing");
consume();
});
}

consumer.connect();
```

```
Received 1000 messages
Consume batch timing: 10.068s
Received 1000 messages
Consume batch timing: 10.083s
Received 1000 messages
Consume batch timing: 10.074s
```

### **Environment**

- Node.js Version: `v22.4.0`
- confluent-kafka-javascript version : ` 1.2.0`
- OS: `Linux`

### **Impact**
This issue affects consumers in low-traffic environments, causing significant delays and inefficient processing during quiet periods.

### **Potential Workarounds**
Currently, need to write code to dynamically adjust the batch size based on traffic.

Many thanks
Pat