It is always hard to give a just "better" solution (better in what regard -- lines of code, readability, execution speed, number of bytes of machine code instructions, ...?) but since you are asking about execution speed in this case, we can focus on that.
You can introduce that variable you suggest, and use it to reduce the conditions to a simple less-than condition once the answer is known. Less-than conditions trivially translate to two machine code instructions on most architectures (for example, CMP
(compare) followed by JL
(jump if less than) or JNL
(jump if not less than) on Intel IA-32). With a little luck, the compiler will notice (or you can do it yourself, but I prefer the clarity that comes with having the same pattern everywhere) that trues < 2
will always be true in the first two if()
statements, and optimize it out.
int trues = 0;
if (trues < 2 && condition1) trues++;
if (trues < 2 && condition2) trues++;
if (trues < 2 && condition3) trues++;
// ...
if (trues >= 2)
{
// do something
}
This, once an answer is known, reduces the possibly complex evaluation of conditionN
to a simple less-than comparison, because of the boolean short-circuiting behavior of most languages.
Another possible variant, if your language allows you to cast a boolean condition to an integer, is to take advantage of that to reduce the number of source code lines. You will still be evaluating each condition, however.
if( (int)(condition1)
+ (int)(condition2)
+ (int)(condition3)
>= 2)
{
// do something
}
This works based on the assumption that casting a boolean FALSE value to an integer results in 0, and casting TRUE results in 1. You can also use the conditional operator for the same effect, although be aware that it may introduce additional branching.
if( ((condition1) ? 1 : 0)
+ ((condition2) ? 1 : 0)
+ ((condition3) ? 1 : 0)
>= 2)
{
// do something
}
Depending on how smart the compiler's optimzer is, it may be able to determine that once any two conditions have evaluated to true the entire condition will always evaluate to true, and optimize based on that.
- Note that unless you have actually profiled your code and determined this to be the culprit, this is likely a case of premature optimization. Always strive for code to be readable by human programmers first, and fast to execute by the computer second, unless you can show definitive proof that the particular piece of code you are looking at is an actual performance bottleneck. Learn how that profiler works and put it to good use. Keep in mind that in most cases, programmer time is an awful lot more expensive than CPU time, and clever techniques take longer for the maintenance programmer to parse.
- Also, compilers are really clever pieces of software; sometimes they will actually detect the intent of the code written and be able to use specific constructs meant to make those operations faster, but that relies on it being able to determine what you are trying to do. A perfect example of this is swapping two variables using an intermediary variable, which on IA-32 can be done using
XCHG
eliminating the intermediary variable, but the compiler has to be able to determine that you are actually doing that and not something clever which may give another result in some cases. - Since the vast majority of the non-explicitly-throwaway software written spends the vast majority of its lifetime in maintenance mode (and lots of throwaway software written is alive and well long past its intended best before date), it makes sense to optimize for maintainability unless that comes at an unacceptable cost in other respects. Of course, if you are evaluating those conditions a trillion times inside a tight loop, targetted optimization very well might make sense. But the profiler will tell you exactly which portions of your code need to be scrutinized more closely from a performance point of view, meaning that you avoid complicating the code unnecessarily.
And the above caveats said, I have been working on code recently making changes that at first glance would almost certainly be considered premature detail optimization. If you have a requirement for high performance and use the profiler to determine which parts of the code are the bottlenecks, then the optimizations aren't premature. (They may still be ill-advised, however, depending on the exact circumstances.)