编译错误
大佬们好，小弟我最近要用Blinker实现ESP32联网，但是在编译时出现这个错误（我之前没用过arduino平台），谢谢大家啦。data:image/png;base64,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Arduino:1.8.9 (Windows 7), 开发板："ESP32 Dev Module, Disabled, Default 4MB with spiffs (1.2MB APP/1.5MB SPIFFS), 240MHz (WiFi/BT), QIO, 80MHz, 4MB (32Mb), 115200, None"In file included from d:\Documents\Arduino\libraries\blinker-library-master\src/BlinkerESPMQTT.h:11:0, from d:\Documents\Arduino\libraries\blinker-library-master\src/Blinker.h:200, from d:\Documents\Arduino\libraries\blinker-library-master\examples\Blinker_Hello\Hello_WiFi\Hello_WiFi.ino:40:d:\Documents\Arduino\libraries\blinker-library-master\src/Blinker/BlinkerApi.h: In member function 'void BlinkerApi::run()':d:\Documents\Arduino\libraries\blinker-library-master\src/Blinker/BlinkerApi.h:3135:25: error: '_resetAIRFunc' was not declared in this scope if (_resetAIRFunc) _resetAIRFunc(); ^exit status 1 为开发板 ESP32 Dev Module 编译时出错。 seanoy 发表于 2019-4-30 10:06
Arduino:1.8.9 (Windows 7), 开发板："ESP32 Dev Module, Disabled, Default 4MB with spiffs (1.2MB APP/1 ...
问这边测试了下例程编译是没有问题的，建议你更新package和blinker lib后再测试下 奈何col 发表于 2019-4-30 11:18
问这边测试了下例程编译是没有问题的，建议你更新package和blinker lib后再测试下 ...
谢谢你，我重新下载了blinker库和重装arduino之后就可以编译了。:lol
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