IDEA 出现编译错误 Multi-catches are not supported a this language level 解决方法

首先出现这种问题是说明正在使用低版本jdk编译其本身不支持的语法,出现这种情况有三种解决办法,

1、首先检查"File" -> "Project Structure" -> "Project settings" -> "Project" -> "Project language level"(如下图)是不是已经设置成支持某种语法的jdk版本,如果已设置还不行请看第2步;




2、检查project下面的module,如果有多个,那么单独查看相关的(如果不清楚哪个相关就认为是所有)module的“language level”(如下图)是不是都设置成支持某种语法的jdk版本,如果还不行请看第3步;



3.终极办法就是在pom.xml的<plugins>节点里添加一下配置 <source>和<target>配需要的jdk版本

<plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-compiler-plugin</artifactId>
    <version>3.5</version>
    <configuration>
        <source>1.8</source>
        <target>1.8</target>
    </configuration>
</plugin>

最后还有设置一下java compiler的jdk版本,"File" -> "Settings" -> "Build,Execution,Deployment" -> "Compiler"  -> "java Compiler" 右边区域的Project bytecode version 和Per-moudle bytecode version 设置成相应的JDK版本。


这是本人遇到这个问题的解决办法,亲测没问题,仅供参考!!!


<think>Okay, the user mentioned that the AI response text doesn't have a voice menu. First, I need to understand what they mean by "voice menu." A voice menu is typically an interactive system that allows users to navigate options using voice commands, often found in IVR (Interactive Voice Response) systems. The user might be asking how to integrate a voice menu into the previous financial analysis demo. Since the previous example was a Python function, I should explain how to add voice interaction, maybe using speech recognition libraries. I should mention tools like SpeechRecognition for voice input and pyttsx3 or gTTS for text-to-speech. Also, outline a basic example of a voice menu that interacts with the financial analysis function. Need to make sure the example is clear, showing how voice commands can trigger the analysis. Also, address possible challenges like handling voice input errors or background noise. Finally, generate relevant questions about integrating voice menus, error handling, multi-language support, etc. </think>It sounds like you're asking about integrating a **voice menu** (voice-controlled interaction system) into a program—likely to interact with the financial analysis function I provided earlier. A voice menu allows users to navigate options or trigger actions using spoken commands (e.g., "Analyze Q1 data" or "Show revenue trends"). Here’s a simplified demo of how to add a voice menu to the financial analysis tool using Python’s `speech_recognition` (for voice input) and `pyttsx3` (for text-to-speech output): ### Step 1: Install Required Libraries ```bash pip install speechrecognition pyttsx3 # You may also need PyAudio for microphone access: pip install pyaudio ``` ### Step 2: Voice-Controlled Financial Analysis Demo ```python import speech_recognition as sr import pyttsx3 from typing import List, Dict # Reuse the financial analysis function from earlier def financial_analysis(financial_data: List[Dict[str, float]]) -> Dict[str, object]: # (Keep the original implementation unchanged) ... def voice_menu(financial_data: List[Dict[str, float]]): """Voice-controlled menu to interact with financial analysis results""" recognizer = sr.Recognizer() engine = pyttsx3.init() # Configure voice (optional: adjust rate/pitch) engine.setProperty("rate", 150) # Slower speech for clarity # Welcome message engine.say("Welcome to Financial Voice Analyzer. What would you like to do?") engine.say("Options: Analyze metrics, Show trends, or Exit.") engine.runAndWait() while True: try: # Listen for user input with sr.Microphone() as source: print("Listening...") audio = recognizer.listen(source, timeout=5) # Wait 5s for input # Convert speech to text user_input = recognizer.recognize_google(audio).lower() print(f"You said: {user_input}") # Handle commands if "analyze metrics" in user_input: analysis = financial_analysis(financial_data) engine.say("Here are the per-period metrics:") for period in analysis["period_metrics"]: msg = ( f"{period['period']}: Gross margin {period['gross_margin']:.2%}, " f"Net margin {period['net_profit_margin']:.2%}" ) engine.say(msg) engine.runAndWait() elif "show trends" in user_input: analysis = financial_analysis(financial_data) trends = analysis["trend_summary"] msg = ( f"Average gross margin: {trends['average_gross_margin']:.2%}, " f"Average net margin: {trends['average_net_margin']:.2%}, " f"Average revenue growth: {trends['average_revenue_growth']:.2%}" ) engine.say(msg) engine.runAndWait() elif "exit" in user_input: engine.say("Goodbye!") engine.runAndWait() break else: engine.say("Sorry, I didn't understand that. Please try again.") engine.runAndWait() except sr.WaitTimeoutError: engine.say("No input detected. Please speak when prompted.") engine.runAndWait() except sr.UnknownValueError: engine.say("Could not understand audio. Please repeat.") engine.runAndWait() except Exception as e: engine.say(f"An error occurred: {str(e)}") engine.runAndWait() break # Example usage if __name__ == "__main__": sample_data = [ {"period": "2023Q1", "revenue": 100000, "cost_of_goods": 60000, "net_income": 15000}, {"period": "2023Q2", "revenue": 120000, "cost_of_goods": 70000, "net_income": 20000}, {"period": "2023Q3", "revenue": 130000, "cost_of_goods": 75000, "net_income": 22000}, {"period": "2023Q4", "revenue": 110000, "cost_of_goods": 68000, "net_income": 18000} ] voice_menu(sample_data) ``` ### Key Notes: - **Voice Input**: Uses Google’s speech recognition API (`recognize_google`) for accuracy. - **Text-to-Speech**: `pyttsx3` generates voice responses (works offline). - **Error Handling**: Catches issues like timeout, unrecognizable speech, or general errors.
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