如何解决:“Avoid hardcoding the debug mode"

本文介绍了解决ADT升级后AndroidManifest.xml中出现的Avoidhardcodingthe debugmode;leavingitoutallowsdebugandreleasebuildstoautomaticallyassignone错误的方法。通过删除或使用快速修复功能来避免影响NDK层的c/c++调试,同时确保纯Java开发不受影响。方法还包括解决与ndk调试相关的工程配置问题。
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当ADT升级后会出现:“Avoid hardcoding the debug mode; leaving it out allows debug and release builds to automatically assign one”,改如何解决,怎么解决更好?

     方便别人亦是方便自己

工具/原料

  • Eclispe 

  • Java jdk1.7.0_51

  • ADT adt-bundle-windows-x86_64-20140321

  • NDK android-ndk-r9d

方法/步骤

  1. 方法一:把AndroidManifest.xml中的“android:debuggable="true"”代码删除;

    缺点:当使用纯Java编程时没有问题,但是当使用ndk编程时,就会发现无法进入调试状态,原因是删除“android:debuggable="true"”,工程目录下的 libs/armeabi-v7a/ 下面就无法生成“gdbserver”和“gdb.setup”,在运行的时候就会由于找不到gdb相关的调试信息,所以就无法调试

  2. 方法二:

    1、选中当前的问题,右键“quick fix”,如下:

    如何解决:“Avoid hardcoding the debug mode"
  3. 2、如下图,select a fix : 选中 “Disable Check in This File Only”,点击 Finish 即可,返回后就发现error小时了

    如何解决:“Avoid hardcoding the debug mode"
  4. 4

    3、测试ndk的调试:发现可以调试,至此问题基本解决了

  5. 5

    方法二缺点:并没有从根本上去掉bug,只是把错误关闭了,要想根本上解决,需要andorid官方修复ndk调试的问题,当然项目不会等他们解决后再继续,对于需要进行ndk调试的朋友来说,这可能是当前最好的折中方案

    END

注意事项

  • 方法一会导致 ndk层的c/c++无法调试,纯java开发不受影响

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Stable Diffusion 3.5 (SD 3.5) 是由 Stability AI 推出的新一代文本到图像生成模型,相比 3.0 版本,它提升了图像质量、运行速度和硬件效率

根据以下使用文档提示,解释下安装和配置方法1. Installation First, ensure you have Claude Code installed: npm install -g @anthropic-ai/claude-code Then, install Claude Code Router: npm install -g @musistudio/claude-code-router 2. Configuration Create and configure your ~/.claude-code-router/config.json file. For more details, you can refer to config.example.json. The config.json file has several key sections: PROXY_URL (optional): You can set a proxy for API requests, for example: "PROXY_URL": "http://127.0.0.1:7890". LOG (optional): You can enable logging by setting it to true. When set to false, no log files will be created. Default is true. LOG_LEVEL (optional): Set the logging level. Available options are: "fatal", "error", "warn", "info", "debug", "trace". Default is "debug". Logging Systems: The Claude Code Router uses two separate logging systems: Server-level logs: HTTP requests, API calls, and server events are logged using pino in the ~/.claude-code-router/logs/ directory with filenames like ccr-*.log Application-level logs: Routing decisions and business logic events are logged in ~/.claude-code-router/claude-code-router.log APIKEY (optional): You can set a secret key to authenticate requests. When set, clients must provide this key in the Authorization header (e.g., Bearer your-secret-key) or the x-api-key header. Example: "APIKEY": "your-secret-key". HOST (optional): You can set the host address for the server. If APIKEY is not set, the host will be forced to 127.0.0.1 for security reasons to prevent unauthorized access. Example: "HOST": "0.0.0.0". NON_INTERACTIVE_MODE (optional): When set to true, enables compatibility with non-interactive environments like GitHub Actions, Docker containers, or other CI/CD systems. This sets appropriate environment variables (CI=true, FORCE_COLOR=0, etc.) and configures stdin handling to prevent the process from hanging in automated environments. Example: "NON_INTERACTIVE_MODE": true. Providers: Used to configure different model providers. Router: Used to set up routing rules. default specifies the default model, which will be used for all requests if no other route is configured. API_TIMEOUT_MS: Specifies the timeout for API calls in milliseconds. Environment Variable Interpolation Claude Code Router supports environment variable interpolation for secure API key management. You can reference environment variables in your config.json using either $VAR_NAME or ${VAR_NAME} syntax: { "OPENAI_API_KEY": "$OPENAI_API_KEY", "GEMINI_API_KEY": "${GEMINI_API_KEY}", "Providers": [ { "name": "openai", "api_base_url": "https://api.openai.com/v1/chat/completions", "api_key": "$OPENAI_API_KEY", "models": ["gpt-5", "gpt-5-mini"] } ] } This allows you to keep sensitive API keys in environment variables instead of hardcoding them in configuration files. The interpolation works recursively through nested objects and arrays. Here is a comprehensive example: { "APIKEY": "your-secret-key", "PROXY_URL": "http://127.0.0.1:7890", "LOG": true, "API_TIMEOUT_MS": 600000, "NON_INTERACTIVE_MODE": false, "Providers": [ { "name": "openrouter", "api_base_url": "https://openrouter.ai/api/v1/chat/completions", "api_key": "sk-xxx", "models": [ "google/gemini-2.5-pro-preview", "anthropic/claude-sonnet-4", "anthropic/claude-3.5-sonnet", "anthropic/claude-3.7-sonnet:thinking" ], "transformer": { "use": ["openrouter"] } }, { "name": "deepseek", "api_base_url": "https://api.deepseek.com/chat/completions", "api_key": "sk-xxx", "models": ["deepseek-chat", "deepseek-reasoner"], "transformer": { "use": ["deepseek"], "deepseek-chat": { "use": ["tooluse"] } } }, { "name": "ollama", "api_base_url": "http://localhost:11434/v1/chat/completions", "api_key": "ollama", "models": ["qwen2.5-coder:latest"] }, { "name": "gemini", "api_base_url": "https://generativelanguage.googleapis.com/v1beta/models/", "api_key": "sk-xxx", "models": ["gemini-2.5-flash", "gemini-2.5-pro"], "transformer": { "use": ["gemini"] } }, { "name": "volcengine", "api_base_url": "https://ark.cn-beijing.volces.com/api/v3/chat/completions", "api_key": "sk-xxx", "models": ["deepseek-v3-250324", "deepseek-r1-250528"], "transformer": { "use": ["deepseek"] } }, { "name": "modelscope", "api_base_url": "https://api-inference.modelscope.cn/v1/chat/completions", "api_key": "", "models": ["Qwen/Qwen3-Coder-480B-A35B-Instruct", "Qwen/Qwen3-235B-A22B-Thinking-2507"], "transformer": { "use": [ [ "maxtoken", { "max_tokens": 65536 } ], "enhancetool" ], "Qwen/Qwen3-235B-A22B-Thinking-2507": { "use": ["reasoning"] } } }, { "name": "dashscope", "api_base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions", "api_key": "", "models": ["qwen3-coder-plus"], "transformer": { "use": [ [ "maxtoken", { "max_tokens": 65536 } ], "enhancetool" ] } }, { "name": "aihubmix", "api_base_url": "https://aihubmix.com/v1/chat/completions", "api_key": "sk-", "models": [ "Z/glm-4.5", "claude-opus-4-20250514", "gemini-2.5-pro" ] } ], "Router": { "default": "deepseek,deepseek-chat", "background": "ollama,qwen2.5-coder:latest", "think": "deepseek,deepseek-reasoner", "longContext": "openrouter,google/gemini-2.5-pro-preview", "longContextThreshold": 60000, "webSearch": "gemini,gemini-2.5-flash" } } 3. Running Claude Code with the Router Start Claude Code using the router: ccr code Note: After modifying the configuration file, you need to restart the service for the changes to take effect: ccr restart
最新发布
10-07
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