Aminu Muhammad Elvmeen

A non-operational annotated version of the script for analysis only. I have redacted the actual keys and KMS server domains so it cannot be used directly.

@echo off
REM Hides command echoing in the terminal.

title Activate Windows 11 (ALL versions) for FREE!
REM Sets the console window title.

Below is a clean technical note you can store in a GitHub Gist. It documents the legitimate method you actually used, not the activation scripts.

Recover and Activate Windows Using the OEM Key Stored in BIOS

This method retrieves the original Windows license embedded in the motherboard firmware (UEFI) and activates Windows without reinstalling the OS.

Modern laptops usually ship with an OEM digital license stored in firmware. Even if Windows activation breaks or the system edition changes, the key can be recovered and reused.

Activate Windows 8, 8.1, 10 and 11 Pro for Free

A guide how to get and activate Windows 8, 8.1, 10 and 11 Pro for free!

NOTE

If you see the Windows keyboard button in this guide; and you can't find it on your keyboard, you likely have/had Windows 10 which has the button . If you can't find that one, you likely have a PC that has been upgraded to Windows 8/8.1/10/11 from Windows 8.1/8/7/Vista/XP and other ones. If you have one of those, refer the Windows key button to as yours. A list of them is below:

Windows key buttons

- Windows 11

- Windows 10

Question

Approach

I binary-search the maximum running time T. For a candidate T I check if the total available minutes (summing min(b, T) for every battery b) is at least n * T — because each computer needs T minutes and a single battery can contribute at most T minutes toward a given computer. If the check passes, T is feasible and I try larger values; otherwise I try smaller ones.

Implementation

class Solution:
    def maxRunTime(self, n: int, batteries: List[int]) -> int:

	from transformers import AutoProcessor, AutoModelForImageClassification
	from PIL import Image
	import cv2
	import numpy as np
	import winsound
	import time
	import json, os
	import torch
	# Temporal smoothing buffer
	from collections import deque

	from transformers import AutoProcessor, AutoModelForImageClassification
	from PIL import Image
	import cv2
	import numpy as np
	import winsound
	import time
	import json, os
	import torch
	# Temporal smoothing buffer
	from collections import deque

	//+------------------------------------------------------------------+
	//\| MultiTimeframeBullishScanner.mq5\|
	//\| \|
	//+------------------------------------------------------------------+
	#property strict

	//--- Input parameters
	input ENUM_TIMEFRAMES TF1 = PERIOD_D1; // Daily
	input ENUM_TIMEFRAMES TF2 = PERIOD_H4; // 4H
	input ENUM_TIMEFRAMES TF3 = PERIOD_H1; // 1H

	//+------------------------------------------------------------------+
	//\| Proportional Trailing EA (Corrected) \|
	//\| SL reaches breakeven at 50% progress, continues trailing after \|
	//+------------------------------------------------------------------+
	#property strict
	#include <Trade\Trade.mqh>

	input double TrailStepPercent = 2.0; // Update every X% of progress
	input int CheckIntervalMS = 1000; // Milliseconds between checks
	input bool ShowDebugInfo = true; // Show trailing logs

	Windows Registry Editor Version 5.00

	;------------------------------
	; Disable Delivery Optimization
	;------------------------------
	[HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\DoSvc]
	"Start"=dword:00000004

	;------------------------------
	; Disable Windows Telemetry

	//+------------------------------------------------------------------+
	//\| ProjectName \|
	//\| Copyright 2020, CompanyName \|
	//\| http://www.companyname.net \|
	//+------------------------------------------------------------------+
	#property copyright "Copyright 2021"
	#property link "drdz9876@gmail.com"
	#property version "2.0"
	#include <Trade\PositionInfo.mqh> CPositionInfo m_position;
	#include <Trade\Trade.mqh> CTrade trade;