# History

The predecessor of [HFSM2](https://hfsm.dev/) has been created in 2013 in C# for a 3D platformer game in Unity.

UML statechart has been considered, and ultimately rejected.

Instead, the decision has been made to create yet another state machine framework based on the actual needs of the project.

The C# framework supported:

* 2 types of regions: `Composite` and `Orthogonal`
* 3 kinds of transitions: `Restart()`, `Resume()` and `Schedule()`

It has been used for most of the game objects, including:

* Animated player character (\~50 states total)
* Doors
* Game menus
* etc.

After the release of VS 2013 (which debuted with C++ variadic templates), the first version of HFSM has been developed with the idea to exploit variadic teplates to generate the entire FSM structure at compile time.

[HFSM](https://github.com/andrew-gresyk/HFSM) 1 has been [presented](https://gresyk.dev/presentations/2017/04/11/hfsm-for-videogames.html) for the first time at the [C++ London](https://www.meetup.com/CppLondon/)’s [April 2017 Meetup](https://www.meetup.com/CppLondon/events/237580202/).

At the end of September 2018, [HFSM](https://github.com/andrew-gresyk/HFSM) evolved into [HFSM2](https://github.com/andrew-gresyk/HFSM2). [HFSM](https://github.com/andrew-gresyk/HFSM) used a variation of the Robin Hood hash table to map `stateId` (implemented using [std::type\_info](https://en.cppreference.com/w/cpp/types/type_info)) and state info. Starting with [HFSM2](https://github.com/andrew-gresyk/HFSM2), the `stateId` became a cumulative index of the state, which is known for every state at compile time.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://doc.hfsm.dev/general-information/history.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
