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Unit slots

Many APIs in the library have a parameter for you to name the desired units. We call these parameters “unit slots”.

Let’s look at some common examples. In what follows, assume q is some Quantity type, and T is some arithmetic type. Then u will be what goes in the unit slot:

  • q.as(u)
  • round_as(u, q)
  • inverse_as(u, q)
  • “Explicit-Rep” versions of the above (such as q.as<T>(u))
  • in” versions of the above, which exit the library (q.in(u), round_in(u, q), etc.)

This page will explain what kinds of things “fit” in the slot, and which styles to prefer in different situations.

What “fits” in a unit slot?

The golden rule — the reason these slots exist — is that you should be naming your units at the callsite, concisely but explicitly. This makes the code easier to read and understand at a glance.

It turns out that there are multiple styles for explicitly naming units. For example, if our target unit is Meters, then we could either pass Meters{} or meters in the unit slot, and get the same result. While they both fulfill the main goal — namely, they name the unit explicitly — they are two different kinds of objects.

  • Meters{} is a unit expression.
  • meters is a quantity maker expression.

Let’s explore these concepts in more detail.

Unit expression

A unit expression is simply an instance of a unit type. This could be something as simple as Meters{}, an instance of the unit type Meters.

It could also be the result of combining several such instances, via arithmetic. For example, Meters{} / squared(Seconds{}) is also a unit expression. It’s an instance of the type UnitQuotientT<Meters, UnitPowerT<Seconds, 2>>. However, the unit expression is much easier to write and to read than the UnitQuotientT<...> version! That’s why we recommend using them to create new units.

Quantity maker expression

A quantity maker expression is similar to the unit expression defined just above, except that it combines instances of QuantityMaker (such as meters) and, optionally, SingularNameFor (such as meter). The result of this expression will be an instance of a QuantityMaker.

Quantity maker expressions support all of the same arithmetic operations as unit expressions, but they have two advantages that make them easier to read:

  1. You don’t need to add the {}, since the participating elements are already instances rather than types.

  2. You can use grammatically correct names, such as meters / squared(second) (note: second is singular), rather than Meters{} / squared(Seconds{}).

Notes for QuantityPoint

QuantityPoint doesn’t use quantity makers: it uses quantity point makers. For example, instead of the quantity maker meters, it uses the quantity point maker meters_pt.

The implications are straightforward. If you have a QuantityPoint instead of a Quantity, then use the quantity point maker instead of the quantity maker. The library will enforce this automatically: for example, you can’t pass meters to a QuantityPoint’s unit slot, and you can’t pass meters_pt to a Quantity’s unit slot.

Examples: rounding to RPM

Let’s look at some examples, using this quantity variable:

constexpr auto angular_velocity = (radians / second)(10.0);

Our goal will be to round it to the nearest value in revolutions per minute (RPM). Let’s look at our options for doing that.

Best choice: quantity maker expression

QuantityMaker instances have the name of the unit, so they meet our core criterion (which is, again, to name the units explicitly at the callsite). They also compose just as naturally as unit instances. In fact, they also work nicely with SingularNameFor instances — such as minute, for the unit Minutes — to further enhance readability.

Here’s how it looks to pass a QuantityMaker — fluently composed, on the fly — to this unit expression API.

constexpr auto rpm = round_as(revolutions / minute, angular_velocity);
//                            ^^^^^^^^^^^^^^^^^^^^
//                          Quantity maker expression

Also acceptable: unit expression

We could, of course, also pass a unit expression to the unit expression slot.

// Usual unit-expression approach (doing arithmetic on *instances*):
constexpr auto rpm = round_as(Revolutions{} / Minutes{}, angular_velocity);
//                            ^^^^^^^^^^^^^^^^^^^^^^^^^
//                                 unit expression

// Alternative, clunkier unit-expression approach (doing arithmetic on *types*):
constexpr auto rpm = round_as(
   UnitQuotientT<Revolutions, Minutes>{}, angular_velocity);
// ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
//            unit expression

These are OK, but they have a couple of drawbacks compared to the quantity maker approach.

  1. They’re grammatically incorrect: “revolutions per minutes”, instead of “revolutions per minute”.

  2. You need to sprinkle extra {} throughout to turn the unit types into instances.

The main reason to use this method is for generic code. In these cases, you don’t usually have a quantity maker handy, but you do know the unit type.

Poor choice: manually constructed QuantityMaker

This may look counterintuitive, but we mention it because we’ve seen a few instances of this approach in the wild! Here is an example:

//
// !!   Do not do this!   !!
//
constexpr auto rpm = round_as(
    QuantityMaker<UnitQuotientT<Revolutions, Minutes>>{}, angular_velocity);
//  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
//           manual QuantityMaker instance

Presumably, this mistake comes from reading the signatures in the source code without understanding their core design goal: namely, to provide a place to specify the units, concisely and explicitly, at a callsite.

This provides no benefit at all. We could replace the QuantityMaker<UnitQuotientT<Revolutions, Minutes>> with its contents (UnitQuotientT<Revolutions, Minutes>) and it would be strictly better.

The reason we endorse the QuantityMaker overloads is because of the convention to provide “canned” QuantityMaker instances which are named after their corresponding units. If you have to construct a new QuantityMaker on the fly, then this benefit vanishes. (This is why unit expressions are preferred for generic code.)

Summary

Many Au APIs have a “unit slot”. These are designed for you to name the units explicitly at the callsite. Pass whatever is the simplest construct that meets that goal — usually, this will be a pre-existing QuantityMaker, or several of them composed together.