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lib/All/entt/docs/md/process.md
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lib/All/entt/docs/md/process.md
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# Crash Course: cooperative scheduler
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# Table of Contents
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* [Introduction](#introduction)
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* [The process](#the-process)
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* [Adaptor](#adaptor)
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* [The scheduler](#the-scheduler)
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# Introduction
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Processes are a useful tool to work around the strict definition of a system and
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introduce logic in a different way, usually without resorting to other component
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types.<br/>
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`EnTT` offers minimal support to this paradigm by introducing a few classes used
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to define and execute cooperative processes.
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# The process
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A typical task inherits from the `process` class template that stays true to the
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CRTP idiom. Moreover, derived classes specify what the intended type for elapsed
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times is.
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A process should expose publicly the following member functions whether needed
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(note that it is not required to define a function unless the derived class
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wants to _override_ the default behavior):
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* `void update(Delta, void *);`
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This is invoked once per tick until a process is explicitly aborted or ends
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either with or without errors. Technically speaking, this member function is
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not strictly required. However, each process should at least define it to work
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_properly_. The `void *` parameter is an opaque pointer to user data (if any)
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forwarded directly to the process during an update.
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* `void init();`
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This is invoked when the process joins the running queue of a scheduler. It
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happens usually when the process is attached to the scheduler if it is a top
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level one, or when it replaces its parent if it is a _continuation_.
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* `void succeeded();`
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This is invoked in case of success, immediately after an update and during the
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same tick.
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* `void failed();`
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This is invoked in case of errors, immediately after an update and during the
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same tick.
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* `void aborted();`
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This is invoked only if a process is explicitly aborted. There is no guarantee
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that it executes in the same tick, it depends solely on whether the process is
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aborted immediately or not.
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Derived classes can also change the internal state of a process by invoking
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`succeed` and `fail`, as well as `pause` and `unpause` the process itself.<br/>
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All these are protected member functions made available to manage the life cycle
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of a process from a derived class.
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Here is a minimal example for the sake of curiosity:
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```cpp
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struct my_process: entt::process<my_process, std::uint32_t> {
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using delta_type = std::uint32_t;
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my_process(delta_type delay)
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: remaining{delay}
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{}
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void update(delta_type delta, void *) {
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remaining -= std::min(remaining, delta);
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// ...
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if(!remaining) {
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succeed();
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}
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}
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private:
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delta_type remaining;
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};
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```
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## Adaptor
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Lambdas and functors cannot be used directly with a scheduler because they are
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not properly defined processes with managed life cycles.<br/>
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This class helps in filling the gap and turning lambdas and functors into
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full-featured processes usable by a scheduler.
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The function call operator has a signature similar to the one of the `update`
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function of a process but for the fact that it receives two extra callbacks to
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invoke whenever a process terminates with success or with an error:
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```cpp
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void(Delta delta, void *data, auto succeed, auto fail);
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```
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Parameters have the following meaning:
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* `delta` is the elapsed time.
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* `data` is an opaque pointer to user data if any, `nullptr` otherwise.
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* `succeed` is a function to call when a process terminates with success.
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* `fail` is a function to call when a process terminates with errors.
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Both `succeed` and `fail` accept no parameters at all.
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Note that usually users should not worry about creating adaptors at all. A
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scheduler creates them internally, each and every time a lambda or a functor is
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used as a process.
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# The scheduler
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A cooperative scheduler runs different processes and helps manage their life
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cycles.
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Each process is invoked once per tick. If it terminates, it is removed
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automatically from the scheduler, and it is never invoked again. Otherwise,
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it is a good candidate to run one more time the next tick.<br/>
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A process can also have a _child_. In this case, the parent process is replaced
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with its child when it terminates and only if it returns with success. In case
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of errors, both the parent process and its child are discarded. This way, it is
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easy to create a chain of processes to run sequentially.
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Using a scheduler is straightforward. To create it, users must provide only the
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type for the elapsed times and no arguments at all:
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```cpp
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entt::basic_scheduler<std::uint64_t> scheduler;
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```
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Otherwise, the `scheduler` alias is also available for the most common cases. It
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uses `std::uint32_t` as a default type:
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```cpp
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entt::scheduler scheduler;
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```
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The class has member functions to query its internal data structures, like
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`empty` or `size`, as well as a `clear` utility to reset it to a clean state:
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```cpp
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// checks if there are processes still running
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const auto empty = scheduler.empty();
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// gets the number of processes still running
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entt::scheduler::size_type size = scheduler.size();
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// resets the scheduler to its initial state and discards all the processes
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scheduler.clear();
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```
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To attach a process to a scheduler, there are mainly two ways:
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* If the process inherits from the `process` class template, it is enough to
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indicate its type and submit all the parameters required to construct it to
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the `attach` member function:
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```cpp
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scheduler.attach<my_process>(1000u);
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```
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* Otherwise, in case of a lambda or a functor, it is enough to provide an
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instance of the class to the `attach` member function:
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```cpp
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scheduler.attach([](auto...){ /* ... */ });
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```
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In both cases, the scheduler is returned and its `then` member function can be
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used to create chains of processes to run sequentially.<br/>
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As a minimal example of use:
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```cpp
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// schedules a task in the form of a lambda function
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scheduler.attach([](auto delta, void *, auto succeed, auto fail) {
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// ...
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})
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// appends a child in the form of another lambda function
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.then([](auto delta, void *, auto succeed, auto fail) {
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// ...
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})
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// appends a child in the form of a process class
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.then<my_process>(1000u);
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```
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To update a scheduler and therefore all its processes, the `update` member
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function is the way to go:
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```cpp
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// updates all the processes, no user data are provided
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scheduler.update(delta);
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// updates all the processes and provides them with custom data
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scheduler.update(delta, &data);
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```
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In addition to these functions, the scheduler offers an `abort` member function
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that is used to discard all the running processes at once:
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```cpp
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// aborts all the processes abruptly ...
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scheduler.abort(true);
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// ... or gracefully during the next tick
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scheduler.abort();
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```
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