Quantity Arithmetics¶
quantity
is a numeric wrapper¶
If we think about it, the quantity
class template is just a "smart" numeric wrapper. It exposes
properly constrained set of arithmetic operations on one or two operands.
Important: quantity
propagates the underlying interface
Every single arithmetic operator is exposed by the quantity
class template only if
the underlying representation type provides it as well and its implementation has proper
semantics (e.g. returns a reasonable type).
For example, in the following code, -a
will compile only if MyInt
exposes such an operation
as well:
Assuming that:
q
is our quantity,qq
is a quantity implicitly convertible toq
,q2
is any other quantity,kind
is a quantity of the same kind asq
,one
is a quantity ofdimension_one
with the unitone
,number
is a value of a type "compatible" withq
's representation type,
here is the list of all the supported operators:
- unary:
+q
-q
++q
q++
--q
q--
- compound assignment:
q += qq
q -= qq
q %= qq
q *= number
q *= one
q /= number
q /= one
- binary:
q + kind
q - kind
q % kind
q * q2
q * number
number * q
q / q2
q / number
number / q
- ordering and comparison:
q == kind
q <=> kind
As we can see, there are plenty of operations one can do on a value of a quantity
type. As most
of them are obvious, in the following chapters, we will discuss only the most important or non-trivial
aspects of quantity arithmetics.
Addition and subtraction¶
Quantities can easily be added or subtracted from each other:
static_assert(1 * m + 1 * m == 2 * m);
static_assert(2 * m - 1 * m == 1 * m);
static_assert(isq::height(1 * m) + isq::height(1 * m) == isq::height(2 * m));
static_assert(isq::height(2 * m) - isq::height(1 * m) == isq::height(1 * m));
The above uses the same types for LHS, RHS, and the result, but in general, we can add, subtract, or compare the values of any quantity type as long as both quantities are of the same kind. The result of such an operation will be the common type of the arguments:
static_assert(1 * km + 1.5 * m == 1001.5 * m);
static_assert(isq::height(1 * m) + isq::width(1 * m) == isq::length(2 * m));
static_assert(isq::height(2 * m) - isq::distance(0.5 * m) == 1.5 * m);
static_assert(isq::radius(1 * m) - 0.5 * m == isq::radius(0.5 * m));
Note
Please note that for the compound assignment operators, both arguments have to either be of the same type or the RHS has to be implicitly convertible to the LHS, as the type of LHS is always the result of such an operation:
static_assert((1 * m += 1 * km) == 1001 * m);
static_assert((isq::height(1.5 * m) -= 1 * m) == isq::height(0.5 * m));
If we break those rules, the following code will not compile:
static_assert((1 * m -= 0.5 * m) == 0.5 * m); // Compile-time error(1)
static_assert((1 * km += 1 * m) == 1001 * m); // Compile-time error(2)
static_assert((isq::height(1 * m) += isq::length(1 * m)) == 2 * m); // Compile-time error(3)
- Floating-point to integral representation type is considered narrowing.
- Conversion of quantity with integral representation type from a unit of a higher resolution to the one with a lower resolution is considered narrowing.
- Conversion from a more generic quantity type to a more specific one is considered unsafe.
Multiplication and division¶
Multiplying or dividing a quantity by a number does not change its quantity type or unit. However, its representation type may change. For example:
Note
Unless we use a compound assignment operator, in which case truncating operations are again not allowed:
- Floating-point to integral representation type is considered narrowing.
However, suppose we multiply or divide quantities of the same or different types, or we divide a raw number by a quantity. In that case, we most probably will end up in a quantity of yet another type:
static_assert(120 * km / (2 * h) == 60 * km / h);
static_assert(isq::width(2 * m) * isq::length(2 * m) == isq::area(4 * m2));
static_assert(50 / isq::time(1 * s) == isq::frequency(50 * Hz));
Note
An exception from the above rule happens when one of the arguments is
a dimensionless quantity. If we multiply or divide by such
a quantity, the quantity type will not change. If such a quantity has a unit one
,
also the unit of a quantity will not change:
An interesting special case happens when we divide the same quantity kinds or multiply a quantity by its inverted type. In such a case, we end up with a dimensionless quantity.
static_assert(isq::height(4 * m) / isq::width(2 * m) == 2 * one); // (1)!
static_assert(5 * h / (120 * min) == 0 * one); // (2)!
static_assert(5. * h / (120 * min) == 2.5 * one);
- The resulting quantity type of the LHS is
isq::height / isq::width
, which is a quantity of the dimensionless kind. - The resulting quantity of the LHS is
0 * dimensionless[h / min]
. To be consistent with the division of different quantity types, we do not convert quantity values to a common unit before the division.
Important: Beware of integral division
The physical units library can't do any runtime branching logic for the division operator. All logic has to be done at compile-time when the actual values are not known, and the quantity types can't change at runtime.
If we expect 120 * km / (2 * h)
to return 60 km / h
, we have to agree with the fact that
5 * km / (24 * h)
returns 0 km/h
. We can't do a range check at runtime to dynamically adjust scales
and types based on the values of provided function arguments.
This is why we often prefer floating-point representation types when dealing with units. Some popular physical units libraries even forbid integer division at all.
Modulo¶
Now that we know how addition, subtraction, multiplication, and division work, it is time to talk about modulo. What would we expect to be returned from the following quantity equation?
Most of us would probably expect to see 1 h
or 60 min
as a result. And this is where the problems start.
C++ language defines its /
and %
operators with the quotient-remainder theorem:
The important property of the modulo operation is that it only works for integral representation types (it is undefined what modulo for floating-point types means). However, as we saw in the previous chapter, integral types are tricky because they often truncate the value.
From the quotient-remainder theorem, the result of modulo operation is r = a - q * b
.
Let's see what we get from such a quantity equation on integral representation types:
const quantity a = 5 * h;
const quantity b = 120 * min;
const quantity q = a / b;
const quantity r = a - q * b;
std::cout << "reminder: " << r << "\n";
The above code outputs:
And now, a tough question needs an answer. Do we really want modulo operation on physical units
to be consistent with the quotient-remainder theorem and return 5 h
for 5 * h % (120 * min)
?
This is exactly why we decided not to follow this hugely surprising path in the mp-units library. The selected approach was also consistent with the feedback from the C++ experts. For example, this is what Richard Smith said about this issue:
Richard Smith
I think the quotient-remainder property is a less important motivation here than other factors
-- the constraints on %
and /
are quite different, so they lack the inherent connection they
have for integers. In particular, I would expect that A / B
works for all quantities A
and B
,
whereas A % B
is only meaningful when A
and B
have the same dimension. It seems like
a nice-to-have for the property to apply in the case where both /
and %
are defined,
but internal consistency of /
across all cases seems much more important to me.
I would expect 61 min % 1 h
to be 1 min
, and 1 h % 59 min
to also be 1 min
, so my
intuition tells me that the result type of A % B
, where A
and B
have the same dimension,
should have the smaller unit of A
and B
(and if the smaller one doesn't divide
the larger one, we should either use the gcd / std::common_type
of the units of
A
and B
or perhaps just produce an error). I think any other behavior for %
is hard to
defend.
On the other hand, for division it seems to me that the choice of unit should probably not affect
the result, and so if we want that 5 mm / 120 min = 0 mm/min
, then 5 h / 120 min == 0 hc
(where hc
is a dimensionless "hexaconta", or 60x
, unit). I don't like the idea of taking
SI base units into account; that seems arbitrary and like it would do the wrong thing as often
as it does the right thing, especially when the units have a multiplier that is very large or
small. We could special-case the situation of a dimensionless quantity, but that could lead to
problematic overflow pretty easily: a calculation such as 10 s * 5 GHz * 2 uW
would overflow
an int
if it produces a dimensionless quantity for 10 s * 5 GHz
, but it could equally
produce 50 G * 2 uW = 100 kW
without any overflow, and presumably would if the terms were merely
reordered.
If people want to use integer-valued quantities, I think it's fundamental that you need
to know what the units of the result of an operation will be, and take that into account in how you
express computations; the simplest rule for heterogeneous operators like *
or /
seems to be that
the units of the result are determined by applying the operator to the units of the operands
-- and for homogeneous operators like +
or %
, it seems like the only reasonable option is
that you get the std::common_type
of the units of the operands.
To summarize, the modulo operation on physical units has more in common with addition and division operators than with the quotient-remainder theorem. To avoid surprising results, the operation uses a common unit to do the calculation and provide its result:
static_assert(5 * h / (120 * min) == 0 * one);
static_assert(5 * h % (120 * min) == 60 * min);
static_assert(61 * min % (1 * h) == 1 * min);
static_assert(1 * h % (59 * min) == 1 * min);
Comparison against zero¶
In our code, we often want to compare the value of a quantity against zero. For example, we do it every time when we want to ensure that we deal with a non-zero or positive value.
We could implement such checks in the following way:
The above would work (assuming we are dealing with the quantity of speed), but could be suboptimal
if the result of q1 / q2
is not expressed in m / s
. To eliminate the need for conversion, we
need to write:
but that is a bit inconvenient, and inexperienced users could be unaware of this technique and its reasons.
For the above reasons, the library provides dedicated interfaces to compare against zero that follow the naming convention of named comparison functions in the C++ Standard Library. The mp-units/compare.h header file exposes the following functions:
is_eq_zero
is_neq_zero
is_lt_zero
is_gt_zero
is_lteq_zero
is_gteq_zero
Thanks to them, to save typing and not pay for unneeded conversions, our check could be implemented as follows:
Tip
Those functions will work with any type T
that exposes zero()
member function returning
something comparable to T
. Thanks to that, we can use them not only with quantities but also
with quantity points,
std::chrono::duration
or any other type
that exposes such an interface.
Other maths¶
This chapter scopes only on the quantity
type's operators. However, there are many named math
functions provided in the mp-units/math.h header file. Among others, we can find there
the following:
pow()
,sqrt()
, andcbrt()
,exp()
,abs()
,epsilon()
,floor()
,ceil()
,round()
,inverse()
,hypot()
,sin()
,cos()
,tan()
,asin()
,acos()
,atan()
.
In the library, we can also find mp-units/random.h header file with all the pseudo-random number generators.