Add LICENSE and README files; update sample prisoner strategy in config.py

Author: TechRedByte

LICENSE.md

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2025 TechRedByte
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# 100 Prisoners Simulator
+
+A Python simulation of the **100 prisoners problem**, where each prisoner must find their own number hidden in one of 100 boxes.  
+This project allows you to run multiple simulations using **custom strategies**, view success rates, and manage runs through a clean working directory system.
+
+If you have any questions or suggestions, feel free to open an issue or submit a pull request! It would make my day. 😊
+
+---
+
+## 🎯 Features
+- Run a predefined number of simulations automatically
+- Use **custom strategies** for box selection
+- Customize the number of prisoners and maximum box checks
+- Calculate and display:
+  - Overall chance of success
+- Built-in directory management for saving results and configurations
+
+---
+
+## 🧠 About the Project
+I created this simulator because I wanted a way to **easily prove the math** behind the 100 prisoners problem, and to **experiment with different strategies** that people have come up with, maybe even stumble upon a new, better one. 😉
+
+The 100 prisoners problem is a classic probability and logic puzzle. Each prisoner may open up to half the boxes (50) to find their number.  
+If **all** prisoners succeed, they are freed; if even one fails, they all lose.
+
+---
+
+## 📺 Video explanation & best strategy
+
+A clear video explanation of the 100 prisoners problem and the best strategy so far (cycle following) can be found here:
+[https://youtu.be/iSNsgj1OCLA?si=Bgq4OAlChz_tSI_g](https://)
+
+---
+
+## ⚙️ Usage
+1. Clone the repository
+2. Copy the config.py file to your working directory and configure your strategy and other parameters inside the config file
+3. Run the main Python file:
+   ```bash
+   python main.py
+   ```
+---
+
+## 📜 License
+
+MIT License - feel free to contribute or share it.
+
+See LICENSE.md for details.
+
+---
+
+## 🧩 Future Ideas
+- Additional statistical plots
+
+- Better GUI
+
+- Parallelized simulations for faster results (when Python )

config.py

@@ -1,6 +1,6 @@
 '''
 This is a sample configuration file. You can modify the parameters and strategy as needed.
-Copy this file as config.py to each of your working directory.
+Copy this file as config.py to each of your working directories.
 '''
 
 import random
@@ -15,8 +15,9 @@
 def getConfig():
     return CONFIG
 
-def prisonerStrategy(prisoner_id, prisoners, total_checks, checked_boxes):
-    # Set strategy here
-    # Example: Random choice strategy
-    available_boxes = [i for i in range(len(prisoners)) if i not in checked_boxes]
-    return random.choice(available_boxes)
+def prisonerStrategy(prisoner_id, prisoners, total_checks, checked_boxes): # Set strategy here
+    # Example: Loop strategy
+    if checked_boxes:
+        return(next(reversed(checked_boxes.values())))
+    else:
+        return prisoner_id