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A program for analyzing and predicting patterns implemented by game developers in non-playable characters and game characteristics for "Fortune Street" (Nintendo Wii, 2011). Fortune Street analyzer is an ASP.NET Core project using the .NET 7 framework. Live streams return TBD on https://twitch.tv/secretply_2.

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Fortune Street Analyzer

Fortune Street analyzer is the helper program that accurately keeps track of the gameplay that happens in the game for any ruleset and board selected while playing in tour mode. This analyzer program will also have the capability of user input from the community for data mining and machine learning purposes to store previously known outcomes at any time and to predict outcomes accurately and quickly in realtime.

Project Overview

  • ID: 10004
  • Status: In Progress
  • Development Timeframe: 4/9/2021 to Q4 2024

This project is open sourced and licensed under GNU General Public License v3.0.

Installation and Setup

Download and install the latest version of .NET 7.0 from https://dotnet.microsoft.com/en-us/download/dotnet/7.0

Download and install the latest version of Git from https://git-scm.com/downloads

Launch a terminal and clone the repository with the following command.

git clone https://github.com/chticer/fortunestreetanalyzer.git

Running the program

Run the program with the following command.

dotnet run

Debugging the program

Download and install the latest version of Visual Studio 2022 from https://visualstudio.microsoft.com/downloads/

Debug the program with the following command.

dotnet watch run

Set breakpoints in Visual Studio 2022 then go to Debug | Attach to Process. Select fortunestreetanalyzer.exe then click Attach.

Project Support

Code Contributions

Maintaining the integrity and consistency of the project is of the utmost importance. Therefore, contributions will abide and adhere to the following contributing guidelines. The full document can be viewed and downloaded at any time.

This project has a bug tracker that is used to keep track of issues with the program. It is recommended that issues should be reproduced at least two (2) times consistently and provide as much information as possible for contributors to replicate the issue. New issues should not be created if the same, or relatively similar, issue is still open and there has been activity within the past thirty (30) days or the current project release version is the same as the version indicated in the issue when it was originally created. This can be done in the issues section of GitHub.

Project development will heavily rely and follow the comments and notes made by contributors in the latest Kanban board. This workflow will ensure on what features and changes will be made in the short-term and long-term and can be found in the projects section of GitHub. Only a broad timeline will be given for a release, including a rough list of pull requests, issues, features, and changes, and can be seen in the milestones section of GitHub.

Community Contributions

This project adheres to a Code of Conduct. The full document can be viewed and downloaded at any time. By being a participant in this project as a member of the community, you hereby agree to follow the guidelines dictated in the Code of Conduct document.

The owner heavily believes that the community should be able to weigh in and provide ways and opportunities for their voices to be heard. This helps strengthen relationships and improvements in both the program and all the people behind the project. Any form of legitimate and constructive suggestions, comments, requests, concerns, and criticisms regarding this project is greatly welcomed. This can be done in the discussions section of GitHub.

This project is currently being offered for free to anyone who wishes to use the analyzer program. Also, all expenses incurred in running and maintaining the project is currently being paid by the owner. As project development is being worked on and near completion to the point where it would be widely available and in a production state, costs will increase and project sponsorships may be necessary since the project is currently being hosted on the cloud with Microsoft Azure. When sponsorship is available, anyone can help support the project financially and will be recognized on GitHub and Patreon.

About

A program for analyzing and predicting patterns implemented by game developers in non-playable characters and game characteristics for "Fortune Street" (Nintendo Wii, 2011). Fortune Street analyzer is an ASP.NET Core project using the .NET 7 framework. Live streams return TBD on https://twitch.tv/secretply_2.

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