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Note: This article uses New Bing (GPT4.0) to demonstrate
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I want you to act as a Java software developer. I will provide you with a list of commands and you will implement them. My first request is "I need help creating a Java application."
public int calculateUsingIfElse(int a, int b, String operator) { int result = 0; if (operator.equals("add")) { result = a + b; } else if (operator.equals("subtract")) { result = a - b; } else if (operator.equals("multiply")) { result = a * b; } else if (operator.equals("divide")) { if (b == 0) { throw new IllegalArgumentException("Cannot divide by zero"); } result = a / b; } else if (operator.equals("modulus")) { if (b == 0) { throw new IllegalArgumentException("Cannot divide by zero"); } result = a % b; } else if (operator.equals("power")) { result = (int) Math.pow(a, b); } else if (operator.equals("square root")) { if (a < 0) { throw new IllegalArgumentException("Cannot take square root of negative number"); } result = (int) Math.sqrt(a); } else if (operator.equals("absolute value")) { result = Math.abs(a); } else if (operator.equals("negate")) { result = -a; } else { throw new IllegalArgumentException("Invalid operator"); } return result; }
// 定义一个接口,表示不同的运算策略 public interface OperationStrategy { int apply(int a, int b); } // 定义一个枚举,表示不同的运算符和对应的策略 public enum Operator { ADD((a, b) -> a + b), SUBTRACT((a, b) -> a - b), MULTIPLY((a, b) -> a * b), DIVIDE((a, b) -> { if (b == 0) { throw new ArithmeticException("Cannot divide by zero"); } return a / b; }), MODULUS((a, b) -> { if (b == 0) { throw new ArithmeticException("Cannot divide by zero"); } return a % b; }), POWER((a, b) -> (int) Math.pow(a, b)), SQUARE_ROOT((a, b) -> { if (a < 0) { throw new ArithmeticException("Cannot take square root of negative number"); } return (int) Math.sqrt(a); }), ABSOLUTE_VALUE(Math::abs), NEGATE(a -> -a); private final OperationStrategy strategy; Operator(OperationStrategy strategy) { this.strategy = strategy; } public int apply(int a, int b) { return strategy.apply(a, b); } } // 定义一个方法,根据运算符和操作数来计算结果 public int calculateUsingStrategy(int a, int b, String operatorName) { // 根据运算符名称找到对应的枚举常量,如果没有找到则抛出异常 Operator operator = Operator.valueOf(operatorName.toUpperCase()); if (operator == null) { throw new IllegalArgumentException("Invalid operator"); } // 调用枚举常量的apply方法来执行相应的策略 return operator.apply(a,b); }
import org.junit.Test; import static org.junit.Assert.*; // 定义一个测试类,用@Test注解标记要执行的测试方法 public class CalculatorTest { // 定义一个测试方法,用assertEquals方法来验证计算结果是否正确 @Test public void testAdd() { int result = calculateUsingStrategy(3, 5, "add"); assertEquals(8, result); } // 定义其他的测试方法,分别测试不同的运算符和操作数 @Test public void testSubtract() { int result = calculateUsingStrategy(10, 4, "subtract"); assertEquals(6, result); } @Test public void testMultiply() { int result = calculateUsingStrategy(7, 9, "multiply"); assertEquals(63, result); } @Test public void testDivide() { int result = calculateUsingStrategy(12, 3, "divide"); assertEquals(4, result); } // 定义一个测试方法,用assertThrows方法来验证抛出了预期的异常 @Test public void testDivideByZero() { assertThrows(ArithmeticException.class, () -> calculateUsingStrategy(10,0,"divide")); } // 定义其他的测试方法,分别测试不同的异常情况 @Test public void testModulusByZero() { assertThrows(ArithmeticException.class, () -> calculateUsingStrategy(10,0,"modulus")); } @Test public void testSquareRootOfNegativeNumber() { assertThrows(ArithmeticException.class, () -> calculateUsingStrategy(-4,-2,"square root")); } // 定义一个测试方法,用assertThrows方法来验证抛出了预期的异常 @Test public void testInvalidOperator() { assertThrows(IllegalArgumentException.class, () -> calculateUsingStrategy(10,-2,"foo")); } }
Finally, data security is the biggest issue. Do not post data to ChatGPT indiscriminately, especially when it involves back-end core storage account passwords, company core business data, and departments. Core strategic planning, etc. Because first of all, ChatGPT will use your question and answer corpus for training; secondly, you can't predict what prompt word the LLM model will answer with the information you inadvertently leaked.
Despite its flaws, the LLM model represented by ChatGPT can greatly improve our development efficiency when acting as our omniscient teacher and tireless universal Util code writer, especially In the fields of data analysis, front-end, unit testing, reconstruction and other fields.
Just like what was written in the first step of the article, ChatGPT is like a versatile identity. You can let him play any role, and Every role can be played in this role range to help us achieve a better life.
More interesting usages are waiting for everyone to discover.
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