interface Animal { public void animalSound(); // interface method (does not have a body) public void run(); // interface method (does not have a body)}Plain Text class Pig implements Animal { public void animalSound() { // The body of animalSound() is provided here System.out.println("The pig says: wee wee"); } public void sleep() { // The body of sleep() is provided here System.out.println("Zzz"); } } class Main { public static void main(String[] args) { Pig myPig = new Pig(); // Create a Pig object myPig.animalSound(); myPig.sleep(); } }
时间: 2024-02-25 15:57:11 浏览: 17
This code defines an interface `Animal` with two methods: `animalSound()` and `run()`. The `Pig` class implements the `Animal` interface and provides a body for the `animalSound()` method. It also defines its own method `sleep()`.
In the `main` method of the `Main` class, a new `Pig` object is created and its `animalSound()` and `sleep()` methods are called. When the program is run, the output will be:
```
The pig says: wee wee
Zzz
```
相关问题
from sklearn.feature_extraction import image API调用怎么解释
这行代码是在调用scikit-learn库中的图像特征提取模块(sklearn.feature_extraction.image)中的API(Application Programming Interface)。该API提供了一些常用的图像特征提取方法,如颜色直方图、方向梯度直方图(HOG)等。通过调用这些API,可以方便地使用这些方法进行图像特征提取,以便进行机器学习等任务。
关于惩罚预测误差(punishment prediction error)的相关文献有哪些
关于惩罚预测误差的相关文献包括:
1. Montague PR, Berns GS (2002). Neural economics and the biological substrates of valuation. Neuron 36(2): 265-284.
2. Schultz W, Dayan P, Montague PR (1997). A neural substrate of prediction and reward. Science 275(5306): 1593-1599.
3. Tobler PN, Fiorillo CD, Schultz W (2005). Adaptive coding of reward value by dopamine neurons. Science 307(5715): 1642-1645.
4. Friston KJ (2013). Life as we know it. Journal of the Royal Society Interface 10(86): 20130475.
5. Sutton RS, Barto AG (1998). Reinforcement learning: An introduction. MIT Press.
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