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| /** | |
| * Home Assistant + MQTT control for LANQ PCDock V3 RGB lighting | |
| * This project bridges BLE (Nordic UART Service) to MQTT, | |
| * allowing the device to be integrated as a Light entity in Home Assistant. | |
| */ | |
| #include <Arduino.h> | |
| #include <WiFi.h> | |
| #include <PubSubClient.h> | |
| #include <ArduinoJson.h> |
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| import java.util.*; | |
| class Num { | |
| static int[] G = new int[9877]; | |
| } | |
| public class App { | |
| public static void main(String args[]) { | |
| for (int i = 1023; i < 9877; i++) { | |
| boolean check = Check(Integer.toString(i)); |
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| import java.util.*; | |
| class Data { | |
| static int[] Data = new int[9877]; | |
| } | |
| abstract class Player { | |
| abstract public String play(int[] Answer, int Number); | |
| } |
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| import tensorflow as tf | |
| import matplotlib.pyplot as plt | |
| import matplotlib as mp | |
| import numpy as np | |
| from tensorflow.keras import Sequential | |
| from tensorflow.keras.layers import Dense | |
| tf.config.experimental.set_visible_devices([],'GPU') # run on GPU | |
| # Module Version | |
| #print(f"tensorflow version installed,{tf.version}") |
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| //程式碼開始 | |
| var Line_Notify_Token = "QWPHg8mG8jKEqlDyVHIc11AOOYwN7T1flth9tsDeebb"; | |
| var CHANNEL_ACCESS_TOKEN = "lfBUpA4OfZ+7MQ9Q86LOHD9UAgV2oXolAl7SYhWS71GC9yefUPv0QwMiFNd26+zLep/EDIlSY4vdel7bIWFx4ctVsSWw1xpGzE7hbze5yI/hJMRPw76Htd2F1bs58BpxOTSDXcWCZg5eXCWk1xS5YgdB04t89/1O/w1cDnyilFU="; | |
| var spreadSheetID = "1i-o13nhyCSOrqg2oDTOBLn-oLsiZxNYTnieJPqFKxBk"; | |
| var myID = "U0142b5abd211d48eff752245b720517d"; | |
| var confirmMessage = "您所輸入的資料如下:"; | |
| var cancelMessage = "您所輸入的資料已取消。"; | |
| var welcomeTitle = "定時提醒系統,請輸入相關資料進行設定:"; | |
| var finishTitle = "設定完成,時間到了會發出 Line 訊息通知您。"; |