Detecting signed overflow in C/C++ - c++

At first glance, this question may seem like a duplicate of How to detect integer overflow?, however it is actually significantly different.
I've found that while detecting an unsigned integer overflow is pretty trivial, detecting a signed overflow in C/C++ is actually more difficult than most people think.
The most obvious, yet naive, way to do it would be something like:
int add(int lhs, int rhs)
{
int sum = lhs + rhs;
if ((lhs >= 0 && sum < rhs) || (lhs < 0 && sum > rhs)) {
/* an overflow has occurred */
abort();
}
return sum;
}
The problem with this is that according to the C standard, signed integer overflow is undefined behavior. In other words, according to the standard, as soon as you even cause a signed overflow, your program is just as invalid as if you dereferenced a null pointer. So you can't cause undefined behavior, and then try to detect the overflow after the fact, as in the above post-condition check example.
Even though the above check is likely to work on many compilers, you can't count on it. In fact, because the C standard says signed integer overflow is undefined, some compilers (like GCC) will optimize away the above check when optimization flags are set, because the compiler assumes a signed overflow is impossible. This totally breaks the attempt to check for overflow.
So, another possible way to check for overflow would be:
int add(int lhs, int rhs)
{
if (lhs >= 0 && rhs >= 0) {
if (INT_MAX - lhs <= rhs) {
/* overflow has occurred */
abort();
}
}
else if (lhs < 0 && rhs < 0) {
if (lhs <= INT_MIN - rhs) {
/* overflow has occurred */
abort();
}
}
return lhs + rhs;
}
This seems more promising, since we don't actually add the two integers together until we make sure in advance that performing such an add will not result in overflow. Thus, we don't cause any undefined behavior.
However, this solution is unfortunately a lot less efficient than the initial solution, since you have to perform a subtract operation just to test if your addition operation will work. And even if you don't care about this (small) performance hit, I'm still not entirely convinced this solution is adequate. The expression lhs <= INT_MIN - rhs seems exactly like the sort of expression the compiler might optimize away, thinking that signed overflow is impossible.
So is there a better solution here? Something that is guaranteed to 1) not cause undefined behavior, and 2) not provide the compiler with an opportunity to optimize away overflow checks? I was thinking there might be some way to do it by casting both operands to unsigned, and performing checks by rolling your own two's-complement arithmetic, but I'm not really sure how to do that.

No, your 2nd code isn't correct, but you are close: if you set
int half = INT_MAX/2;
int half1 = half + 1;
the result of an addition is INT_MAX. (INT_MAX is always an odd number). So this is valid input. But in your routine you will have INT_MAX - half == half1 and you would abort. A false positive.
This error can be repaired by putting < instead of <= in both checks.
But then also your code isn't optimal. The following would do:
int add(int lhs, int rhs)
{
if (lhs >= 0) {
if (INT_MAX - lhs < rhs) {
/* would overflow */
abort();
}
}
else {
if (rhs < INT_MIN - lhs) {
/* would overflow */
abort();
}
}
return lhs + rhs;
}
To see that this is valid, you have to symbolically add lhs on both sides of the inequalities, and this gives you exactly the arithmetical conditions that your result is out of bounds.

Your approach with subtraction is correct and well-defined. A compiler cannot optimize it away.
Another correct approach, if you have a larger integer type available, is to perform the arithmetic in the larger type and then check that the result fits in the smaller type when converting it back
int sum(int a, int b)
{
long long c;
assert(LLONG_MAX>INT_MAX);
c = (long long)a + b;
if (c < INT_MIN || c > INT_MAX) abort();
return c;
}
A good compiler should convert the entire addition and if statement into an int-sized addition and a single conditional jump-on-overflow and never actually perform the larger addition.
Edit: As Stephen pointed out, I'm having trouble getting a (not-so-good) compiler, gcc, to generate the sane asm. The code it generates is not terribly slow, but certainly suboptimal. If anyone knows variants on this code that will get gcc to do the right thing, I'd love to see them.

For the gcc case, from gcc 5.0 Release notes we can see it now provides a __builtin_add_overflow for checking overflow in addition:
A new set of built-in functions for arithmetics with overflow checking has been added: __builtin_add_overflow, __builtin_sub_overflow and __builtin_mul_overflow and for compatibility with clang also other variants. These builtins have two integral arguments (which don't need to have the same type), the arguments are extended to infinite precision signed type, +, - or * is performed on those, and the result is stored in an integer variable pointed to by the last argument. If the stored value is equal to the infinite precision result, the built-in functions return false, otherwise true. The type of the integer variable that will hold the result can be different from the types of the first two arguments.
For example:
__builtin_add_overflow( rhs, lhs, &result )
We can see from the gcc document Built-in Functions to Perform Arithmetic with Overflow Checking that:
[...]these built-in functions have fully defined behavior for all argument values.
clang also provides a set of checked arithmetic builtins:
Clang provides a set of builtins that implement checked arithmetic for security critical applications in a manner that is fast and easily expressable in C.
in this case the builtin would be:
__builtin_sadd_overflow( rhs, lhs, &result )

The fastest possible way is to use the GCC builtin:
int add(int lhs, int rhs) {
int sum;
if (__builtin_add_overflow(lhs, rhs, &sum))
abort();
return sum;
}
On x86, GCC compiles this into:
mov %edi, %eax
add %esi, %eax
jo call_abort
ret
call_abort:
call abort
which uses the processor's built-in overflow detection.
If you're not OK with using GCC builtins, the next fastest way is to use bit operations on the sign bits. Signed overflow in addition occurs when:
the two operands have the same sign, and
the result has a different sign than the operands.
The sign bit of ~(lhs ^ rhs) is on iff the operands have the same sign, and the sign bit of lhs ^ sum is on iff the result has a different sign than the operands. So you can do the addition in unsigned form to avoid undefined behavior, and then use the sign bit of ~(lhs ^ rhs) & (lhs ^ sum):
int add(int lhs, int rhs) {
unsigned sum = (unsigned) lhs + (unsigned) rhs;
if ((~(lhs ^ rhs) & (lhs ^ sum)) & 0x80000000)
abort();
return (int) sum;
}
This compiles into:
lea (%rsi,%rdi), %eax
xor %edi, %esi
not %esi
xor %eax, %edi
test %edi, %esi
js call_abort
ret
call_abort:
call abort
which is quite a lot faster than casting to a 64-bit type on a 32-bit machine (with gcc):
push %ebx
mov 12(%esp), %ecx
mov 8(%esp), %eax
mov %ecx, %ebx
sar $31, %ebx
clt
add %ecx, %eax
adc %ebx, %edx
mov %eax, %ecx
add $-2147483648, %ecx
mov %edx, %ebx
adc $0, %ebx
cmp $0, %ebx
ja call_abort
pop %ebx
ret
call_abort:
call abort

IMHO, the eastiest way to deal with overflow sentsitive C++ code is to use SafeInt<T>. This is a cross platform C++ template hosted on code plex which provides the safety guarantees that you desire here.
https://github.com/dcleblanc/SafeInt
I find it very intuitive to use as it provides the many of the same usage patterns as normal numerical opertations and expresses over and under flows via exceptions.

If you use inline assembler you can check the overflow flag. Another possibility is taht you can use a safeint datatype. I recommend that read this paper on Integer Security.

The obvious solution is to convert to unsigned, to get the well-defined unsigned overflow behavior:
int add(int lhs, int rhs)
{
int sum = (unsigned)lhs + (unsigned)rhs;
if ((lhs >= 0 && sum < rhs) || (lhs < 0 && sum > rhs)) {
/* an overflow has occurred */
abort();
}
return sum;
}
This replaces the undefined signed overflow behavior with the implementation-defined conversion of out-of-range values between signed and unsigned, so you need to check your compiler's documentation to know exactly what will happen, but it should at least be well defined, and should do the right thing on any twos-complement machine that doesn't raise signals on conversions, which is pretty much every machine and C compiler built in the last 20 years.

Your fundamental problem is that lhs + rhs doesn't do the right thing. But if you're willing to assume a two's complement machine, we can fix that. Suppose you have a function to_int_modular that converts unsigned to int in a way that is guaranteed to be the inverse of conversion from int to unsigned, and it optimizes away to nothing at run time. (See below for how to implement it.)
If you use it to fix the undefined behavior in your original attempt, and also rewrite the conditional to avoid the redundant test of lhs >= 0 and lhs < 0, then you get
int add(int lhs, int rhs)
{
int sum = to_int_modular((unsigned)lhs + rhs);
if (lhs >= 0) {
if (sum < rhs)
abort();
} else {
if (sum > rhs)
abort();
}
return sum;
}
which should outperform the current top-voted answer, since it has a similar structure but requires fewer arithmetic operations.
(Reorganizing the if shouldn't be necessary, but in tests on godbolt, ICC and MSVC do eliminate the redundant test on their own, but GCC and Clang surprisingly don't.)
If you prefer to compute the result in a wider size and then bounds check, one way to do the bounds check is
long long sum = (long long)lhs + rhs;
if ((int)sum != sum)
abort();
... except that the behavior is undefined on overflow. But you can fix that with the same helper function:
if (to_int_modular(sum) != sum)
This will probably outperform the current accepted answer on compilers that aren't smart enough to optimize it to a test of the overflow flag.
Unfortunately, testing (visual inspection on godbolt) suggests that GCC, ICC and MSVC do better with the code above than with the code in the accepted answer, but Clang does better with the code in the accepted answer. As usual, nothing is easy.
This approach can only work on architectures where the ranges of int and unsigned are equally large, and the specific implementations below also depend on its being two's complement. Machines not meeting those specs are vanishingly rare, but I'll check for them anyway:
static_assert(INT_MIN + INT_MAX == -1 && UINT_MAX + INT_MIN == INT_MAX);
One way to implement to_int_modular is
inline int to_int_modular(unsigned u) {
int i;
memcpy(&i, &u, sizeof(i));
return i;
}
All major x64 compilers have no trouble optimizing that to nothing, but when optimizations are disabled, MSVC and ICC generate a call to memcpy, which may be a bit slow if you use this function a lot. This implementation also depends on details of the representation of unsigned and int that probably aren't guaranteed by the standard.
Another way is this:
inline int to_int_modular(unsigned u) {
return u <= INT_MAX ? (int)u : (int)(u - INT_MIN) + INT_MIN;
}
All major x64 compilers optimize that to nothing except ICC, which makes an utter mess of it and every variation that I could think of. ICX does fine, and it appears that Intel is abandoning ICC and moving to ICX, so maybe this problem will fix itself.

You may have better luck converting to 64-bit integers and testing similar conditions like that. For example:
#include <stdint.h>
...
int64_t sum = (int64_t)lhs + (int64_t)rhs;
if (sum < INT_MIN || sum > INT_MAX) {
// Overflow occurred!
}
else {
return sum;
}
You may want to take a closer look at how sign extension will work here, but I think it is correct.

How about:
int sum(int n1, int n2)
{
int result;
if (n1 >= 0)
{
result = (n1 - INT_MAX)+n2; /* Can't overflow */
if (result > 0) return INT_MAX; else return (result + INT_MAX);
}
else
{
result = (n1 - INT_MIN)+n2; /* Can't overflow */
if (0 > result) return INT_MIN; else return (result + INT_MIN);
}
}
I think that should work for any legitimate INT_MIN and INT_MAX (symmetrical or not); the function as shown clips, but it should be obvious how to get other behaviors).

In case of adding two long values, portable code can split the long value into low and high int parts (or into short parts in case long has the same size as int):
static_assert(sizeof(long) == 2*sizeof(int), "");
long a, b;
int ai[2] = {int(a), int(a >> (8*sizeof(int)))};
int bi[2] = {int(b), int(b >> (8*sizeof(int))});
... use the 'long' type to add the elements of 'ai' and 'bi'
Using inline assembly is the fastest way if targeting a particular CPU:
long a, b;
bool overflow;
#ifdef __amd64__
asm (
"addq %2, %0; seto %1"
: "+r" (a), "=ro" (overflow)
: "ro" (b)
);
#else
#error "unsupported CPU"
#endif
if(overflow) ...
// The result is stored in variable 'a'

By me, the simpliest check would be checking the signs of the operands and of the results.
Let's examine sum: the overflow could occur in both directions, + or -, only when both operands have the same sign. And, obviosly, the overflow will be when the sign of the result won't be the same as the sign of the operands.
So, a check like this will be enough:
int a, b, sum;
sum = a + b;
if (((a ^ ~b) & (a ^ sum)) & 0x80000000)
detect_oveflow();
Edit: as Nils suggested, this is the correct if condition:
((((unsigned int)a ^ ~(unsigned int)b) & ((unsigned int)a ^ (unsigned int)sum)) & 0x80000000)
And since when the instruction
add eax, ebx
leads to undefined behavior? There is no such thing in the Intel x86 instruction set refference..

I think that this works:
int add(int lhs, int rhs) {
volatile int sum = lhs + rhs;
if (lhs != (sum - rhs) ) {
/* overflow */
//errno = ERANGE;
abort();
}
return sum;
}
Using volatile keeps the compiler from optimizing away the test because it thinks that sum may have changed between the addition and the subtraction.
Using gcc 4.4.3 for x86_64 the assembly for this code does do the addition, the subtraction, and the test, though it stores everything on the stack and of unneeded stack operations. I even tried register volatile int sum = but the assembly was the same.
For a version with only int sum = (no volatile or register) the function did not do the test and did the addition using only one lea instruction (lea is Load Effective Address and is often used to do addition without touching the flags register).
Your version is larger code and has a lot more jumps, but I don't know which would be better.

Related

Why is fetestexcept in C++ compiled to a function call rather than inlined

I am evaluating the usage (clearing and querying) of Floating-Point Exceptions in performance-critical/"hot" code. Looking at the binary produced I noticed that neither GCC nor Clang expand the call to an inline sequence of instructions that I would expect; instead they seem to generate a call to the runtime library. This is prohibitively expensive for my application.
Consider the following minimal example:
#include <fenv.h>
#pragma STDC FENV_ACCESS on
inline int fetestexcept_inline(int e)
{
unsigned int mxcsr;
asm volatile ("vstmxcsr" " %0" : "=m" (*&mxcsr));
return mxcsr & e & FE_ALL_EXCEPT;
}
double f1(double a)
{
double r = a * a;
if(r == 0 || fetestexcept_inline(FE_OVERFLOW)) return -1;
else return r;
}
double f2(double a)
{
double r = a * a;
if(r == 0 || fetestexcept(FE_OVERFLOW)) return -1;
else return r;
}
And the output as produced by GCC: https://godbolt.org/z/jxjzYY
The compiler seems to know that he can use the CPU-family-dependent AVX-instructions for the target (it uses "vmulsd" for the multiplication). However, no matter which optimization flags I try, it will always produce the much more expensive function call to glibc rather than the assembly that (as far as I understand) should do what the corresponding glibc function does.
This is not intended as a complaint, I am OK with adding the inline assembly. I just wonder whether there might be a subtle difference that I am overlooking that could be a bug in the inline-assembly-version.
It's required to support long double arithmetic. fetestexcept needs to merge the SSE and FPU states because long double operations only update the FPU state, but not the MXSCR register. Therefore, the benefit from inlining is somewhat reduced.

Signed overflow in C++ and undefined behaviour (UB)

I'm wondering about the use of code like the following
int result = 0;
int factor = 1;
for (...) {
result = ...
factor *= 10;
}
return result;
If the loop is iterated over n times, then factor is multiplied by 10 exactly n times. However, factor is only ever used after having been multiplied by 10 a total of n-1 times. If we assume that factor never overflows except on the last iteration of the loop, but may overflow on the last iteration of the loop, then should such code be acceptable? In this case, the value of factor would provably never be used after the overflow has happened.
I'm having a debate on whether code like this should be accepted. It would be possible to put the multiplication inside an if-statement and just not do the multiplication on the last iteration of the loop when it can overflow. The downside is that it clutters the code and adds an unnecessary branch that would need to check for on all the previous loop iterations. I could also iterate over the loop one fewer time and replicate the loop body once after the loop, again, this complicates the code.
The actual code in question is used in a tight inner-loop that consumes a large chunk of the total CPU time in a real-time graphics application.
Compilers do assume that a valid C++ program does not contain UB. Consider for example:
if (x == nullptr) {
*x = 3;
} else {
*x = 5;
}
If x == nullptr then dereferencing it and assigning a value is UB. Hence the only way this could end in a valid program is when x == nullptr will never yield true and the compiler can assume under the as if rule, the above is equivalent to:
*x = 5;
Now in your code
int result = 0;
int factor = 1;
for (...) { // Loop until factor overflows but not more
result = ...
factor *= 10;
}
return result;
The last multiplication of factor cannot happen in a valid program (signed overflow is undefined). Hence also the assignment to result cannot happen. As there is no way to branch before the last iteration also the previous iteration cannot happen. Eventually, the part of code that is correct (i.e., no undefined behaviour ever happens) is:
// nothing :(
The behaviour of int overflow is undefined.
It doesn't matter if you read factor outside the loop body; if it has overflowed by then then the behaviour of your code on, after, and somewhat paradoxically before the overflow is undefined.
One issue that might arise in keeping this code is that compilers are getting more and more aggressive when it comes to optimisation. In particular they are developing a habit where they assume that undefined behaviour never happens. For this to be the case, they may remove the for loop altogether.
Can't you use an unsigned type for factor although then you'd need to worry about unwanted conversion of int to unsigned in expressions containing both?
It might be insightful to consider real-world optimizers. Loop unrolling is a known technique. The basic idea of loop unrolling is that
for (int i = 0; i != 3; ++i)
foo()
might be better implemented behind the scenes as
foo()
foo()
foo()
This is the easy case, with a fixed bound. But modern compilers can also do this
for variable bounds:
for (int i = 0; i != N; ++i)
foo();
becomes
__RELATIVE_JUMP(3-N)
foo();
foo();
foo();
Obviously this only works if the compiler knows that N<=3. And that's where we get back to the original question:
int result = 0;
int factor = 1;
for (...) {
result = ...
factor *= 10;
}
return result;
Because the compiler knows that signed overflow does not occur, it knows that the loop can execute a maximum of 9 times on 32 bits architectures. 10^10 > 2^32. It can therefore do a 9 iteration loop unroll. But the intended maximum was 10 iterations !.
What might happen is that you get a relative jump to a assembly instruction (9-N) with N==10, so an offset of -1, which is the jump instruction itself. Oops. This is a perfectly valid loop optimization for well-defined C++, but the example given turns into a tight infinite loop.
Any signed integer overflow results in undefined behaviour, regardless of whether or not the overflowed value is or might be read.
Maybe in your use-case you can to lift the first iteration out of the loop, turning this
int result = 0;
int factor = 1;
for (int n = 0; n < 10; ++n) {
result += n + factor;
factor *= 10;
}
// factor "is" 10^10 > INT_MAX, UB
into this
int factor = 1;
int result = 0 + factor; // first iteration
for (int n = 1; n < 10; ++n) {
factor *= 10;
result += n + factor;
}
// factor is 10^9 < INT_MAX
With optimization enabled, the compiler might unroll the second loop above into one conditional jump.
This is UB; in ISO C++ terms the entire behaviour of the entire program is completely unspecified for an execution that eventually hits UB. The classic example is as far as the C++ standard cares, it can make demons fly out of your nose. (I recommend against using an implementation where nasal demons are a real possibility). See other answers for more details.
Compilers can "cause trouble" at compile time for paths of execution they can see leading to compile-time-visible UB, e.g. assume those basic blocks are never reached.
See also What Every C Programmer Should Know About Undefined Behavior (LLVM blog). As explained there, signed-overflow UB lets compilers prove that for(... i <= n ...) loops are not infinite loops, even for unknown n. It also lets them "promote" int loop counters to pointer width instead of redoing sign-extension. (So the consequence of UB in that case could be accessing outside the low 64k or 4G elements of an array, if you were expecting signed wrapping of i into its value range.)
In some cases compilers will emit an illegal instruction like x86 ud2 for a block that provably causes UB if ever executed. (Note that a function might not ever be called, so compilers can't in general go berserk and break other functions, or even possible paths through a function that don't hit UB. i.e. the machine code it compiles to must still work for all inputs that don't lead to UB.)
Probably the most efficient solution is to manually peel the last iteration so the unneeded factor*=10 can be avoided.
int result = 0;
int factor = 1;
for (... i < n-1) { // stop 1 iteration early
result = ...
factor *= 10;
}
result = ... // another copy of the loop body, using the last factor
// factor *= 10; // and optimize away this dead operation.
return result;
Or if the loop body is large, consider simply using an unsigned type for factor. Then you can let the unsigned multiply overflow and it will just do well-defined wrapping to some power of 2 (the number of value bits in the unsigned type).
This is fine even if you use it with signed types, especially if your unsigned->signed conversion never overflows.
Conversion between unsigned and 2's complement signed is free (same bit-pattern for all values); the modulo wrapping for int -> unsigned specified by the C++ standard simplifies to just using the same bit-pattern, unlike for one's complement or sign/magnitude.
And unsigned->signed is similarly trivial, although it is implementation-defined for values larger than INT_MAX. If you aren't using the huge unsigned result from the last iteration, you have nothing to worry about. But if you are, see Is conversion from unsigned to signed undefined?. The value-doesn't-fit case is implementation-defined, which means that an implementation must pick some behaviour; sane ones just truncate (if necessary) the unsigned bit pattern and use it as signed, because that works for in-range values the same way with no extra work. And it's definitely not UB. So big unsigned values can become negative signed integers. e.g. after int x = u; gcc and clang don't optimize away x>=0 as always being true, even without -fwrapv, because they defined the behaviour.
If you can tolerate a few additional assembly instructions in the loop, instead of
int factor = 1;
for (int j = 0; j < n; ++j) {
...
factor *= 10;
}
you can write:
int factor = 0;
for (...) {
factor = 10 * factor + !factor;
...
}
to avoid the last multiplication. !factor will not introduce a branch:
xor ebx, ebx
L1:
xor eax, eax
test ebx, ebx
lea edx, [rbx+rbx*4]
sete al
add ebp, 1
lea ebx, [rax+rdx*2]
mov edi, ebx
call consume(int)
cmp r12d, ebp
jne .L1
This code
int factor = 0;
for (...) {
factor = factor ? 10 * factor : 1;
...
}
also results in branchless assembly after optimization:
mov ebx, 1
jmp .L1
.L2:
lea ebx, [rbx+rbx*4]
add ebx, ebx
.L1:
mov edi, ebx
add ebp, 1
call consume(int)
cmp r12d, ebp
jne .L2
(Compiled with GCC 8.3.0 -O3)
You didn't show what's in the parentheses of the for statement, but I'm going to assume it's something like this:
for (int n = 0; n < 10; ++n) {
result = ...
factor *= 10;
}
You can simply move the counter increment and loop termination check into the body:
for (int n = 0; ; ) {
result = ...
if (++n >= 10) break;
factor *= 10;
}
The number of assembly instructions in the loop will remain the same.
Inspired by Andrei Alexandrescu's presentation "Speed Is Found In The Minds of People".
Consider the function:
unsigned mul_mod_65536(unsigned short a, unsigned short b)
{
return (a*b) & 0xFFFFu;
}
According to the published Rationale, the authors of the Standard would have expected that if this function were invoked on (e.g.) a commonplace 32-bit computer with arguments of 0xC000 and 0xC000, promoting the operands of * to signed int would cause the computation to yield -0x10000000, which when converted to unsigned would yield 0x90000000u--the same answer as if they had made unsigned short promote to unsigned. Nonetheless, gcc will sometimes optimize that function in ways that would behave nonsensically if an overflow occurs. Any code where some combination of inputs could cause an overflow must be processed with -fwrapv option unless it would be acceptable to allow creators of deliberately-malformed input to execute arbitrary code of their choosing.
Why not this:
int result = 0;
int factor = 10;
for (...) {
factor *= 10;
result = ...
}
return result;
There are many different faces of Undefined Behavior, and what's acceptable depends on the usage.
tight inner-loop that consumes a large chunk of the total CPU time in a real-time graphics application
That, by itself, is a bit of an unusual thing, but be that as it may... if this is indeed the case, then the UB is most probably within the realm "allowable, acceptable". Graphics programming is notorious for hacks and ugly stuff. As long as it "works" and it doesn't take longer than 16.6ms to produce a frame, usually, nobody cares. But still, be aware of what it means to invoke UB.
First, there is the standard. From that point of view, there's nothing to discuss and no way to justify, your code is simply invalid. There are no ifs or whens, it just isn't a valid code. You might as well say that's middle-finger-up from your point of view, and 95-99% of the time you'll be good to go anyway.
Next, there's the hardware side. There are some uncommon, weird architectures where this is a problem. I'm saying "uncommon, weird" because on the one architecture that makes up 80% of all computers (or the two architectures that together make up 95% of all computers) overflow is a "yeah, whatever, don't care" thing on the hardware level. You sure do get a garbage (although still predictable) result, but no evil things happen.
That is not the case on every architecture, you might very well get a trap on overflow (though seeing how you speak of a graphics application, the chances of being on such an odd architecture are rather small). Is portability an issue? If it is, you may want to abstain.
Last, there is the compiler/optimizer side. One reason why overflow is undefined is that simply leaving it at that was easiest to cope with hardware once upon a time. But another reason is that e.g. x+1 is guaranteed to always be larger than x, and the compiler/optimizer can exploit this knowledge. Now, for the previously mentioned case, compilers are indeed known to act this way and simply strip out complete blocks (there existed a Linux exploit some years ago which was based on the compiler having dead-stripped some validation code because of exactly this).
For your case, I would seriously doubt that the compiler does some special, odd, optimizations. However, what do you know, what do I know. When in doubt, try it out. If it works, you are good to go.
(And finally, there's of course code audit, you might have to waste your time discussing this with an auditor if you're unlucky.)

Can the C++ sizeof() function be used to prevent integer overflows?

I'm building mathematics functions that I plan to use for cryptography.
Your algorithm is useless if the code is vulnerable to exploitation.
Buffers are fairly easy to protect against overflows; but what about integers?
I won't share my Galois functions but here is one of my normal addition functions:
/**/
private:
bool ERROR;
signed int ret;
void error(std::string msg){
ERROR = true;
std::cout<<"\n[-] "<<msg<<std::endl;
}
/**/
public:
signed int add(signed int a, signed int b){
if(sizeof(a) > sizeof(signed int) || sizeof(b) > sizeof(signed int) || sizeof(a+b) > sizeof(signed int)){
error("Integer overflow!");
ERROR = true;
ret = 0;
return ret;
}else{
ERROR = false;
ret = a + b;
return ret;
}
error("context failure");
ret = 0;
ERROR = true;
return ret;
}
Is the if conditional enough to prevent malicious input? If not, how would I fix this vulnerability?
As per the other answer, no, sizeof won't protect against what you're trying to do. It cares about the byte width of types, not anything else.
You're asking about integer overflow, but your example has doubles. Doubles are floating point, and AFAIK have a well-defined "overflow" cause. In the case of a value that exceeds the maximum value, you'll get +INF, positive infinity. But you'll lose a lot of precision well before that point. Floating point values won't wrap around.
AFAIK, within the current relevant C/C++ standards, there's no way to portably detect an unsigned integer "overflow" (which is well defined), but gcc and clang have builtins to detect one. You can try to predict the unsigned overflow, but the best and most portable methods are still hotly debated.
Signed integer overflow is undefined behavior, meaning the implementation is free to do anything it wants when encountering it.
If you're dead set on rolling your own cryptography against best practices, you should carefully examine what other implementations have done and make sure you understand why.
It's also worth noting that, security-wise, integer/float overflows are NOT the same as buffer overflows.
So I've found my answer.
I've decided to use the following if logic to prevent an integer overflow:
if((a >= 2000000000 || a <= -2000000000) ||
(b >= 2000000000 || b <= -2000000000) ||
((a+b) >= 2000000000 || (a+b) <= -2000000000)){
After running some tests i was able to confirm that the integer loops back around into the negative numbers.
Since I'm working with finite fields, I can expect that normal input from the program won't get near 2 million while also ensuring that overflows are handled.
If outside of the bounds, exit.
~edit: Fixed logic error

Efficient unsigned-to-signed cast avoiding implementation-defined behavior

I want to define a function that takes an unsigned int as argument and returns an int congruent modulo UINT_MAX+1 to the argument.
A first attempt might look like this:
int unsigned_to_signed(unsigned n)
{
return static_cast<int>(n);
}
But as any language lawyer knows, casting from unsigned to signed for values larger than INT_MAX is implementation-defined.
I want to implement this such that (a) it only relies on behavior mandated by the spec; and (b) it compiles into a no-op on any modern machine and optimizing compiler.
As for bizarre machines... If there is no signed int congruent modulo UINT_MAX+1 to the unsigned int, let's say I want to throw an exception. If there is more than one (I am not sure this is possible), let's say I want the largest one.
OK, second attempt:
int unsigned_to_signed(unsigned n)
{
int int_n = static_cast<int>(n);
if (n == static_cast<unsigned>(int_n))
return int_n;
// else do something long and complicated
}
I do not much care about the efficiency when I am not on a typical twos-complement system, since in my humble opinion that is unlikely. And if my code becomes a bottleneck on the omnipresent sign-magnitude systems of 2050, well, I bet someone can figure that out and optimize it then.
Now, this second attempt is pretty close to what I want. Although the cast to int is implementation-defined for some inputs, the cast back to unsigned is guaranteed by the standard to preserve the value modulo UINT_MAX+1. So the conditional does check exactly what I want, and it will compile into nothing on any system I am likely to encounter.
However... I am still casting to int without first checking whether it will invoke implementation-defined behavior. On some hypothetical system in 2050 it could do who-knows-what. So let's say I want to avoid that.
Question: What should my "third attempt" look like?
To recap, I want to:
Cast from unsigned int to signed int
Preserve the value mod UINT_MAX+1
Invoke only standard-mandated behavior
Compile into a no-op on a typical twos-complement machine with optimizing compiler
[Update]
Let me give an example to show why this is not a trivial question.
Consider a hypothetical C++ implementation with the following properties:
sizeof(int) equals 4
sizeof(unsigned) equals 4
INT_MAX equals 32767
INT_MIN equals -232 + 32768
UINT_MAX equals 232 - 1
Arithmetic on int is modulo 232 (into the range INT_MIN through INT_MAX)
std::numeric_limits<int>::is_modulo is true
Casting unsigned n to int preserves the value for 0 <= n <= 32767 and yields zero otherwise
On this hypothetical implementation, there is exactly one int value congruent (mod UINT_MAX+1) to each unsigned value. So my question would be well-defined.
I claim that this hypothetical C++ implementation fully conforms to the C++98, C++03, and C++11 specifications. I admit I have not memorized every word of all of them... But I believe I have read the relevant sections carefully. So if you want me to accept your answer, you either must (a) cite a spec that rules out this hypothetical implementation or (b) handle it correctly.
Indeed, a correct answer must handle every hypothetical implementation permitted by the standard. That is what "invoke only standard-mandated behavior" means, by definition.
Incidentally, note that std::numeric_limits<int>::is_modulo is utterly useless here for multiple reasons. For one thing, it can be true even if unsigned-to-signed casts do not work for large unsigned values. For another, it can be true even on one's-complement or sign-magnitude systems, if arithmetic is simply modulo the entire integer range. And so on. If your answer depends on is_modulo, it's wrong.
[Update 2]
hvd's answer taught me something: My hypothetical C++ implementation for integers is not permitted by modern C. The C99 and C11 standards are very specific about the representation of signed integers; indeed, they only permit twos-complement, ones-complement, and sign-magnitude (section 6.2.6.2 paragraph (2); ).
But C++ is not C. As it turns out, this fact lies at the very heart of my question.
The original C++98 standard was based on the much older C89, which says (section 3.1.2.5):
For each of the signed integer types, there is a corresponding (but
different) unsigned integer type (designated with the keyword
unsigned) that uses the same amount of storage (including sign
information) and has the same alignment requirements. The range of
nonnegative values of a signed integer type is a subrange of the
corresponding unsigned integer type, and the representation of the
same value in each type is the same.
C89 says nothing about only having one sign bit or only allowing twos-complement/ones-complement/sign-magnitude.
The C++98 standard adopted this language nearly verbatim (section 3.9.1 paragraph (3)):
For each of the signed integer types, there exists a corresponding
(but different) unsigned integer type: "unsigned char", "unsigned
short int", "unsigned int", and "unsigned long int", each of
which occupies the same amount of storage and has the same alignment
requirements (3.9) as the corresponding signed integer type ; that
is, each signed integer type has the same object representation as
its corresponding unsigned integer type. The range of nonnegative
values of a signed integer type is a subrange of the corresponding
unsigned integer type, and the value representation of each
corresponding signed/unsigned type shall be the same.
The C++03 standard uses essentially identical language, as does C++11.
No standard C++ spec constrains its signed integer representations to any C spec, as far as I can tell. And there is nothing mandating a single sign bit or anything of the kind. All it says is that non-negative signed integers must be a subrange of the corresponding unsigned.
So, again I claim that INT_MAX=32767 with INT_MIN=-232+32768 is permitted. If your answer assumes otherwise, it is incorrect unless you cite a C++ standard proving me wrong.
Expanding on user71404's answer:
int f(unsigned x)
{
if (x <= INT_MAX)
return static_cast<int>(x);
if (x >= INT_MIN)
return static_cast<int>(x - INT_MIN) + INT_MIN;
throw x; // Or whatever else you like
}
If x >= INT_MIN (keep the promotion rules in mind, INT_MIN gets converted to unsigned), then x - INT_MIN <= INT_MAX, so this won't have any overflow.
If that is not obvious, take a look at the claim "If x >= -4u, then x + 4 <= 3.", and keep in mind that INT_MAX will be equal to at least the mathematical value of -INT_MIN - 1.
On the most common systems, where !(x <= INT_MAX) implies x >= INT_MIN, the optimizer should be able (and on my system, is able) to remove the second check, determine that the two return statements can be compiled to the same code, and remove the first check too. Generated assembly listing:
__Z1fj:
LFB6:
.cfi_startproc
movl 4(%esp), %eax
ret
.cfi_endproc
The hypothetical implementation in your question:
INT_MAX equals 32767
INT_MIN equals -232 + 32768
is not possible, so does not need special consideration. INT_MIN will be equal to either -INT_MAX, or to -INT_MAX - 1. This follows from C's representation of integer types (6.2.6.2), which requires n bits to be value bits, one bit to be a sign bit, and only allows one single trap representation (not including representations that are invalid because of padding bits), namely the one that would otherwise represent negative zero / -INT_MAX - 1. C++ doesn't allow any integer representations beyond what C allows.
Update: Microsoft's compiler apparently does not notice that x > 10 and x >= 11 test the same thing. It only generates the desired code if x >= INT_MIN is replaced with x > INT_MIN - 1u, which it can detect as the negation of x <= INT_MAX (on this platform).
[Update from questioner (Nemo), elaborating on our discussion below]
I now believe this answer works in all cases, but for complicated reasons. I am likely to award the bounty to this solution, but I want to capture all the gory details in case anybody cares.
Let's start with C++11, section 18.3.3:
Table 31 describes the header <climits>.
...
The contents are the same as the Standard C library header <limits.h>.
Here, "Standard C" means C99, whose specification severely constrains the representation of signed integers. They are just like unsigned integers, but with one bit dedicated to "sign" and zero or more bits dedicated to "padding". The padding bits do not contribute to the value of the integer, and the sign bit contributes only as twos-complement, ones-complement, or sign-magnitude.
Since C++11 inherits the <climits> macros from C99, INT_MIN is either -INT_MAX or -INT_MAX-1, and hvd's code is guaranteed to work. (Note that, due to the padding, INT_MAX could be much less than UINT_MAX/2... But thanks to the way signed->unsigned casts work, this answer handles that fine.)
C++03/C++98 is trickier. It uses the same wording to inherit <climits> from "Standard C", but now "Standard C" means C89/C90.
All of these -- C++98, C++03, C89/C90 -- have the wording I give in my question, but also include this (C++03 section 3.9.1 paragraph 7):
The representations of integral types shall define values by use of a
pure binary numeration system.(44) [Example: this International
Standard permits 2’s complement, 1’s complement and signed magnitude
representations for integral types.]
Footnote (44) defines "pure binary numeration system":
A positional representation for integers that uses the binary digits 0
and 1, in which the values represented by successive bits are
additive, begin with 1, and are multiplied by successive integral
power of 2, except perhaps for the bit with the highest position.
What is interesting about this wording is that it contradicts itself, because the definition of "pure binary numeration system" does not permit a sign/magnitude representation! It does allow the high bit to have, say, the value -2n-1 (twos complement) or -(2n-1-1) (ones complement). But there is no value for the high bit that results in sign/magnitude.
Anyway, my "hypothetical implementation" does not qualify as "pure binary" under this definition, so it is ruled out.
However, the fact that the high bit is special means we can imagine it contributing any value at all: A small positive value, huge positive value, small negative value, or huge negative value. (If the sign bit can contribute -(2n-1-1), why not -(2n-1-2)? etc.)
So, let's imagine a signed integer representation that assigns a wacky value to the "sign" bit.
A small positive value for the sign bit would result in a positive range for int (possibly as large as unsigned), and hvd's code handles that just fine.
A huge positive value for the sign bit would result in int having a maximum larger than unsigned, which is is forbidden.
A huge negative value for the sign bit would result in int representing a non-contiguous range of values, and other wording in the spec rules that out.
Finally, how about a sign bit that contributes a small negative quantity? Could we have a 1 in the "sign bit" contribute, say, -37 to the value of the int? So then INT_MAX would be (say) 231-1 and INT_MIN would be -37?
This would result in some numbers having two representations... But ones-complement gives two representations to zero, and that is allowed according to the "Example". Nowhere does the spec say that zero is the only integer that might have two representations. So I think this new hypothetical is allowed by the spec.
Indeed, any negative value from -1 down to -INT_MAX-1 appears to be permissible as a value for the "sign bit", but nothing smaller (lest the range be non-contiguous). In other words, INT_MIN might be anything from -INT_MAX-1 to -1.
Now, guess what? For the second cast in hvd's code to avoid implementation-defined behavior, we just need x - (unsigned)INT_MIN less than or equal to INT_MAX. We just showed INT_MIN is at least -INT_MAX-1. Obviously, x is at most UINT_MAX. Casting a negative number to unsigned is the same as adding UINT_MAX+1. Put it all together:
x - (unsigned)INT_MIN <= INT_MAX
if and only if
UINT_MAX - (INT_MIN + UINT_MAX + 1) <= INT_MAX
-INT_MIN-1 <= INT_MAX
-INT_MIN <= INT_MAX+1
INT_MIN >= -INT_MAX-1
That last is what we just showed, so even in this perverse case, the code actually works.
That exhausts all of the possibilities, thus ending this extremely academic exercise.
Bottom line: There is some seriously under-specified behavior for signed integers in C89/C90 that got inherited by C++98/C++03. It is fixed in C99, and C++11 indirectly inherits the fix by incorporating <limits.h> from C99. But even C++11 retains the self-contradictory "pure binary representation" wording...
This code relies only on behavior, mandated by the spec, so requirement (a) is easily satisfied:
int unsigned_to_signed(unsigned n)
{
int result = INT_MAX;
if (n > INT_MAX && n < INT_MIN)
throw runtime_error("no signed int for this number");
for (unsigned i = INT_MAX; i != n; --i)
--result;
return result;
}
It's not so easy with requirement (b). This compiles into a no-op with gcc 4.6.3 (-Os, -O2, -O3) and with clang 3.0 (-Os, -O, -O2, -O3). Intel 12.1.0 refuses to optimize this. And I have no info about Visual C.
The original answer solved the problem only for unsigned => int. What if we want to solve the general problem of "some unsigned type" to its corresponding signed type? Furthermore, the original answer was excellent at citing sections of the standard and analyzing some corner cases, but it did not really help me get a feel for why it worked, so this answer will try to give a strong conceptual basis. This answer will try to help explain "why", and use modern C++ features to try to simplify the code.
C++20 answer
The problem has simplified dramatically with P0907: Signed Integers are Two’s Complement and the final wording P1236 that was voted into the C++20 standard. Now, the answer is as simple as possible:
template<std::unsigned_integral T>
constexpr auto cast_to_signed_integer(T const value) {
return static_cast<std::make_signed_t<T>>(value);
}
That's it. A static_cast (or C-style cast) is finally guaranteed to do the thing you need for this question, and the thing many programmers thought it always did.
C++17 answer
In C++17, things are much more complicated. We have to deal with three possible integer representations (two's complement, ones' complement, and sign-magnitude). Even in the case where we know it must be two's complement because we checked the range of possible values, the conversion of a value outside the range of the signed integer to that signed integer still gives us an implementation-defined result. We have to use tricks like we have seen in other answers.
First, here is the code for how to solve the problem generically:
template<typename T, typename = std::enable_if_t<std::is_unsigned_v<T>>>
constexpr auto cast_to_signed_integer(T const value) {
using result = std::make_signed_t<T>;
using result_limits = std::numeric_limits<result>;
if constexpr (result_limits::min() + 1 != -result_limits::max()) {
if (value == static_cast<T>(result_limits::max()) + 1) {
throw std::runtime_error("Cannot convert the maximum possible unsigned to a signed value on this system");
}
}
if (value <= result_limits::max()) {
return static_cast<result>(value);
} else {
using promoted_unsigned = std::conditional_t<sizeof(T) <= sizeof(unsigned), unsigned, T>;
using promoted_signed = std::make_signed_t<promoted_unsigned>;
constexpr auto shift_by_window = [](auto x) {
// static_cast to avoid conversion warning
return x - static_cast<decltype(x)>(result_limits::max()) - 1;
};
return static_cast<result>(
shift_by_window( // shift values from common range to negative range
static_cast<promoted_signed>(
shift_by_window( // shift large values into common range
static_cast<promoted_unsigned>(value) // cast to avoid promotion to int
)
)
)
);
}
}
This has a few more casts than the accepted answer, and that is to ensure there are no signed / unsigned mismatch warnings from your compiler and to properly handle integer promotion rules.
We first have a special case for systems that are not two's complement (and thus we must handle the maximum possible value specially because it doesn't have anything to map to). After that, we get to the real algorithm.
The second top-level condition is straightforward: we know the value is less than or equal to the maximum value, so it fits in the result type. The third condition is a little more complicated even with the comments, so some examples would probably help understand why each statement is necessary.
Conceptual basis: the number line
First, what is this window concept? Consider the following number line:
| signed |
<.........................>
| unsigned |
It turns out that for two's complement integers, you can divide the subset of the number line that can be reached by either type into three equally sized categories:
- => signed only
= => both
+ => unsigned only
<..-------=======+++++++..>
This can be easily proven by considering the representation. An unsigned integer starts at 0 and uses all of the bits to increase the value in powers of 2. A signed integer is exactly the same for all of the bits except the sign bit, which is worth -(2^position) instead of 2^position. This means that for all n - 1 bits, they represent the same values. Then, unsigned integers have one more normal bit, which doubles the total number of values (in other words, there are just as many values with that bit set as without it set). The same logic holds for signed integers, except that all the values with that bit set are negative.
The other two legal integer representations, ones' complement and sign-magnitude, have all of the same values as two's complement integers except for one: the most negative value. C++ defines everything about integer types, except for reinterpret_cast (and the C++20 std::bit_cast), in terms of the range of representable values, not in terms of the bit representation. This means that our analysis will hold for each of these three representations as long as we do not ever try to create the trap representation. The unsigned value that would map to this missing value is a rather unfortunate one: the one right in the middle of the unsigned values. Fortunately, our first condition checks (at compile time) whether such a representation exists, and then handles it specially with a runtime check.
The first condition handles the case where we are in the = section, which means that we are in the overlapping region where the values in one can be represented in the other without change. The shift_by_window function in the code moves all values down by the size of each of these segments (we have to subtract the max value then subtract 1 to avoid arithmetic overflow issues). If we are outside of that region (we are in the + region), we need to jump down by one window size. This puts us in the overlapping range, which means we can safely convert from unsigned to signed because there is no change in value. However, we are not done yet because we have mapped two unsigned values to each signed value. Therefore, we need to shift down to the next window (the - region) so that we have a unique mapping again.
Now, does this give us a result congruent mod UINT_MAX + 1, as requested in the question? UINT_MAX + 1 is equivalent to 2^n, where n is the number of bits in the value representation. The value we use for our window size is equal to 2^(n - 1) (the final index in a sequence of values is one less than the size). We subtract that value twice, which means we subtract 2 * 2^(n - 1) which is equal to 2^n. Adding and subtracting x is a no-op in arithmetic mod x, so we have not affected the original value mod 2^n.
Properly handling integer promotions
Because this is a generic function and not just int and unsigned, we also have to concern ourselves with integral promotion rules. There are two possibly interesting cases: one in which short is smaller than int and one in which short is the same size as int.
Example: short smaller than int
If short is smaller than int (common on modern platforms) then we also know that unsigned short can fit in an int, which means that any operations on it will actually happen in int, so we explicitly cast to the promoted type to avoid this. Our final statement is pretty abstract and becomes easier to understand if we substitute in real values. For our first interesting case, with no loss of generality let us consider a 16-bit short and a 17-bit int (which is still allowed under the new rules, and would just mean that at least one of those two integer types have some padding bits):
constexpr auto shift_by_window = [](auto x) {
return x - static_cast<decltype(x)>(32767) - 1;
};
return static_cast<int16_t>(
shift_by_window(
static_cast<int17_t>(
shift_by_window(
static_cast<uint17_t>(value)
)
)
)
);
Solving for the greatest possible 16-bit unsigned value
constexpr auto shift_by_window = [](auto x) {
return x - static_cast<decltype(x)>(32767) - 1;
};
return int16_t(
shift_by_window(
int17_t(
shift_by_window(
uint17_t(65535)
)
)
)
);
Simplifies to
return int16_t(
int17_t(
uint17_t(65535) - uint17_t(32767) - 1
) -
int17_t(32767) -
1
);
Simplifies to
return int16_t(
int17_t(uint17_t(32767)) -
int17_t(32767) -
1
);
Simplifies to
return int16_t(
int17_t(32767) -
int17_t(32767) -
1
);
Simplifies to
return int16_t(-1);
We put in the largest possible unsigned and get back -1, success!
Example: short same size as int
If short is the same size as int (uncommon on modern platforms), the integral promotion rule are slightly different. In this case, short promotes to int and unsigned short promotes to unsigned. Fortunately, we explicitly cast each result to the type we want to do the calculation in, so we end up with no problematic promotions. With no loss of generality let us consider a 16-bit short and a 16-bit int:
constexpr auto shift_by_window = [](auto x) {
return x - static_cast<decltype(x)>(32767) - 1;
};
return static_cast<int16_t>(
shift_by_window(
static_cast<int16_t>(
shift_by_window(
static_cast<uint16_t>(value)
)
)
)
);
Solving for the greatest possible 16-bit unsigned value
auto x = int16_t(
uint16_t(65535) - uint16_t(32767) - 1
);
return int16_t(
x - int16_t(32767) - 1
);
Simplifies to
return int16_t(
int16_t(32767) - int16_t(32767) - 1
);
Simplifies to
return int16_t(-1);
We put in the largest possible unsigned and get back -1, success!
What if I just care about int and unsigned and don't care about warnings, like the original question?
constexpr int cast_to_signed_integer(unsigned const value) {
using result_limits = std::numeric_limits<int>;
if constexpr (result_limits::min() + 1 != -result_limits::max()) {
if (value == static_cast<unsigned>(result_limits::max()) + 1) {
throw std::runtime_error("Cannot convert the maximum possible unsigned to a signed value on this system");
}
}
if (value <= result_limits::max()) {
return static_cast<int>(value);
} else {
constexpr int window = result_limits::min();
return static_cast<int>(value + window) + window;
}
}
See it live
https://godbolt.org/z/74hY81
Here we see that clang, gcc, and icc generate no code for cast and cast_to_signed_integer_basic at -O2 and -O3, and MSVC generates no code at /O2, so the solution is optimal.
You can explicitly tell the compiler what you want to do:
int unsigned_to_signed(unsigned n) {
if (n > INT_MAX) {
if (n <= UINT_MAX + INT_MIN) {
throw "no result";
}
return static_cast<int>(n + INT_MIN) - (UINT_MAX + INT_MIN + 1);
} else {
return static_cast<int>(n);
}
}
Compiles with gcc 4.7.2 for x86_64-linux (g++ -O -S test.cpp) to
_Z18unsigned_to_signedj:
movl %edi, %eax
ret
If x is our input...
If x > INT_MAX, we want to find a constant k such that 0 < x - k*INT_MAX < INT_MAX.
This is easy -- unsigned int k = x / INT_MAX;. Then, let unsigned int x2 = x - k*INT_MAX;
We can now cast x2 to int safely. Let int x3 = static_cast<int>(x2);
We now want to subtract something like UINT_MAX - k * INT_MAX + 1 from x3, if k > 0.
Now, on a 2s complement system, so long as x > INT_MAX, this works out to:
unsigned int k = x / INT_MAX;
x -= k*INT_MAX;
int r = int(x);
r += k*INT_MAX;
r -= UINT_MAX+1;
Note that UINT_MAX+1 is zero in C++ guaranteed, the conversion to int was a noop, and we subtracted k*INT_MAX then added it back on "the same value". So an acceptable optimizer should be able to erase all that tomfoolery!
That leaves the problem of x > INT_MAX or not. Well, we create 2 branches, one with x > INT_MAX, and one without. The one without does a strait cast, which the compiler optimizes to a noop. The one with ... does a noop after the optimizer is done. The smart optimizer realizes both branches to the same thing, and drops the branch.
Issues: if UINT_MAX is really large relative to INT_MAX, the above might not work. I am assuming that k*INT_MAX <= UINT_MAX+1 implicitly.
We could probably attack this with some enums like:
enum { divisor = UINT_MAX/INT_MAX, remainder = UINT_MAX-divisor*INT_MAX };
which work out to 2 and 1 on a 2s complement system I believe (are we guaranteed for that math to work? That's tricky...), and do logic based on these that easily optimize away on non-2s complement systems...
This also opens up the exception case. It is only possible if UINT_MAX is much larger than (INT_MIN-INT_MAX), so you can put your exception code in an if block asking exactly that question somehow, and it won't slow you down on a traditional system.
I'm not exactly sure how to construct those compile-time constants to deal correctly with that.
std::numeric_limits<int>::is_modulo is a compile time constant. so you can use it for template specialization. problem solved, at least if compiler plays along with inlining.
#include <limits>
#include <stdexcept>
#include <string>
#ifdef TESTING_SF
bool const testing_sf = true;
#else
bool const testing_sf = false;
#endif
// C++ "extensions"
namespace cppx {
using std::runtime_error;
using std::string;
inline bool hopefully( bool const c ) { return c; }
inline bool throw_x( string const& s ) { throw runtime_error( s ); }
} // namespace cppx
// C++ "portability perversions"
namespace cppp {
using cppx::hopefully;
using cppx::throw_x;
using std::numeric_limits;
namespace detail {
template< bool isTwosComplement >
int signed_from( unsigned const n )
{
if( n <= unsigned( numeric_limits<int>::max() ) )
{
return static_cast<int>( n );
}
unsigned const u_max = unsigned( -1 );
unsigned const u_half = u_max/2 + 1;
if( n == u_half )
{
throw_x( "signed_from: unsupported value (negative max)" );
}
int const i_quarter = static_cast<int>( u_half/2 );
int const int_n1 = static_cast<int>( n - u_half );
int const int_n2 = int_n1 - i_quarter;
int const int_n3 = int_n2 - i_quarter;
hopefully( n == static_cast<unsigned>( int_n3 ) )
|| throw_x( "signed_from: range error" );
return int_n3;
}
template<>
inline int signed_from<true>( unsigned const n )
{
return static_cast<int>( n );
}
} // namespace detail
inline int signed_from( unsigned const n )
{
bool const is_modulo = numeric_limits< int >::is_modulo;
return detail::signed_from< is_modulo && !testing_sf >( n );
}
} // namespace cppp
#include <iostream>
using namespace std;
int main()
{
int const x = cppp::signed_from( -42u );
wcout << x << endl;
}
EDIT: Fixed up code to avoid possible trap on non-modular-int machines (only one is known to exist, namely the archaically configured versions of the Unisys Clearpath). For simplicity this is done by not supporting the value -2n-1 where n is the number of int value bits, on such machine (i.e., on the Clearpath). in practice this value will not be supported by the machine either (i.e., with sign-and-magnitude or 1’s complement representation).
I think the int type is at least two bytes, so the INT_MIN and INT_MAX may change in different platforms.
Fundamental types
≤climits≥ header
My money is on using memcpy. Any decent compiler knows to optimise it away:
#include <stdio.h>
#include <memory.h>
#include <limits.h>
static inline int unsigned_to_signed(unsigned n)
{
int result;
memcpy( &result, &n, sizeof(result));
return result;
}
int main(int argc, const char * argv[])
{
unsigned int x = UINT_MAX - 1;
int xx = unsigned_to_signed(x);
return xx;
}
For me (Xcode 8.3.2, Apple LLVM 8.1, -O3), that produces:
_main: ## #main
Lfunc_begin0:
.loc 1 21 0 ## /Users/Someone/main.c:21:0
.cfi_startproc
## BB#0:
pushq %rbp
Ltmp0:
.cfi_def_cfa_offset 16
Ltmp1:
.cfi_offset %rbp, -16
movq %rsp, %rbp
Ltmp2:
.cfi_def_cfa_register %rbp
##DEBUG_VALUE: main:argc <- %EDI
##DEBUG_VALUE: main:argv <- %RSI
Ltmp3:
##DEBUG_VALUE: main:x <- 2147483646
##DEBUG_VALUE: main:xx <- 2147483646
.loc 1 24 5 prologue_end ## /Users/Someone/main.c:24:5
movl $-2, %eax
popq %rbp
retq
Ltmp4:
Lfunc_end0:
.cfi_endproc

Given that b is always non-zero, why `b ? --b : ++b` works, but `--b` does not?

I was trying to multiply two integers using recursion, and wrote this code, accidently:
//the original version
int multiply(int a, int b)
{
if ( !b )
return 0;
else
return a + multiply(a, b ? --b : ++b ); //accident
}
I said, I wrote this accidently, because I intended to write :
b > 0 ? --b : ++b instead of b ? --b : ++b
I realize that what I intended to write wouldn't work. But what is surprising to me is, what I did not intend to write does work.
Now, I note that b ?--b : ++b is basically equivalent to --b because b in else-block is guaranteed to be non-zero. So I modified the above code, replacing b?--b:++b with --b, as shown below:
//the modified version
int multiply(int a, int b)
{
if ( !b )
return 0;
else
return a + multiply(a, --b); //modification here
}
Since the original version woks, I expected the modified version to work as well. But again, to my surprise, it doesn't work!
What is wrong the modified version?
Is it not equivalent to the original version?
Is --b not equivalent to b ?--b : ++b IF b is non-zero? If its equivalent, then why does the first code work but the second doesn't?
Note: here, by "work", I mean it gives the correct output. That is, it gives the multiplication of the integers passed to the function.
It doesn't work. I don't know what ideone is smoking, that code is going to overflow the stack.
EDIT
Tried it on gcc 4.6.0 - segfault (due to stack overflow). If however you enable -O2 optimizations, then indeed "it works". In conclusion: it works by chance, depending on what the compiler does behind the scenes.
g++ -g -Wall -o f f.cpp # stack overflow
g++ -O2 -g -Wall -o f f.cpp # "works"
TL;DR version: The reason b? --b: ++b prints a result and --b fails with SIGXCPU is that ideone sets a time limit on submitted code. One version gets optimized better, and completes in the time allowed. The other version gives the exact same answer, but you won't see that with ideone because it runs too slowly and gets aborted by the time limit.
As for why the stack overflow isn't occuring, I guess in one case the compiler must be transforming recursion into iteration (this isn't a tail call, but it is trivially transformable).
The result of the transformation would be something like http://ideone.com/AeBYI which indeed gives the correct result. With higher optimization settings, the compiler could calculate the results at compile time and store constants in the resulting code.
The output from the code below should give a very strong clue ;)
#include <iostream>
using namespace std;
int multiply(int a, int b)
{
cout << "a = " << a << "\tb = " << b << std::endl;
if ( !b )
return 0;
else
return a + multiply(a, b ? --b : ++b );
}
int main() {
cout << multiply(12, 7) << endl;
cout << multiply(12, -7) << endl;
cout << multiply(-12, -7) << endl;
cout << multiply(-12, 7) << endl;
return 0;
}
It looks to me like it's getting the answer by going the long way.
Edit: In response to the comment from Nawaz below, the first method works because of the vagaries of two's complement signed integer arithmetic. Like I said, it takes the long way around. It is enabled, as others have pointed out because of some compiler optimization or another. You can see this in the code below for the test input previously provided:
int mul2(int a, int b)
{
int rv = 0;
while (b--) rv += a;
return rv;
}
It in fact should work for any pair of integers but will take some time to run in some case (but I expect you weren't interested in efficiency in any event).
The second case does not work because your conditional b > 0 ? --b : ++b essentially converts b to abs(b). That is, you only add 7 times in your test case even though b = -7. If you wanted it to behave the way I think you wanted it to behave you would instead need to do something like:
int multiply(int a, int b)
{
if ( !b )
return 0;
else if (b < 0)
return -a + multiply(-a, -b-1);
else
return a + multiply(a, --b);
}
Edit 2: Try this instead:
short multiply(short a, short b)
{
if ( !b )
return 0;
else
return a + multiply(a, b ? --b : ++b );
}
and
short multiply(short a, short b)
{
if ( !b )
return 0;
else
return a + multiply(a, --b);
}
Both of these compile, run and return the same (correct) result with or without optimization. As others have pointed out, the cause of the execution time difference you are seeing can only be attributed to the way the compiler is optimizing your code. You will need to analyze the assembly code of the two methods to determine the root cause of the time discrepancies.
Indeed, it has nothing to do with --b, but with your algorithm.
If b < 0, what do you excpect ? You will loop indefinitively and ends up with a stack overflow.
This is why you have the right result at first multiply(12, 7) but then your program fail when you call multiply(12, -7).
Because of the way 2's complement numbers work, your code is "correct" for both positive and negative values for b. It is just that for negative b's, any recursive version needs a big stack to work. So any time the compiler emits a nonrecursive version, you have working code. So it boils down to: what rule does my complier use internally to determine when to emit nonrecursive code. That just depends on how the compiler was written.
Both forms of multiply crash in Visual Studio with a stack overflow, when b is negative.
So, the answer is, neither form is correct. Likely what is happening in gcc is that, due to some quirk (not a bug!) the compiler is optimizing away the tail-recursion in the first example but not the second.
As a side note, even if you change it to b > 0 ? --b : ++b, you are still not multiplying by the sign of b (eg. multiply(-1, -1) == -1)
But what is surprising to me is, what I did not intend to write does work.
Apparently what's happening is that at optimization level 2 in g++ the compiler correctly sees that if b is positive, your code is equivalent to a*b. It also apparently sees that if b is negative your code invokes undefined behavior. The compiler optimizes that undefined behavior away by generalizing to a*b in all cases. Here is the assembler from g++ -O2 (i686-apple-darwin10-g++-4.2.1):
.globl __Z8multiplyii
__Z8multiplyii:
LFB1477:
pushq %rbp
LCFI0:
movq %rsp, %rbp
LCFI1:
xorl %eax, %eax
testl %esi, %esi
je L5
movl %esi, %eax
imull %edi, %eax
L5:
leave
ret
I don't trust optimizers. IMO the compiler's response to recognizing the undefined behavior should be failure to compile rather than optimizing the undefined behavior away.
Edit
Rather than adding another answer as another answer, I'll add another answer as an edit.
Ask any physicist the value of the infinite sum 1+2+3+... and they'll tell you that it is -1/12. (e.g., see http://math.ucr.edu/home/baez/qg-winter2004/zeta.pdf). This going the long way around works by a similar trick of twos complement arithmetic. A solution that does not involve going the long way around for negative numbers:
int multiply (int a, int b) {
if (b == 0) {
return 0;
}
else if (b < 0) {
return -multiply (a, -b);
}
else {
return a + multiply(a, b-1);
}
}
Even at high levels of optimization, my compiler is no longer smart enough to recognize the above as multiplication. Split the above into two functions and the compiler once again does recognize that what is being done is integer multiplication:
int multiplyu(int a, unsigned int b) {
return (b == 0) ? 0 : a + multiplyu(a, b-1);
}
int multiply(int a, int b) {
return (b < 0) ? -multiplyu (a, -b) : multiplyu (a, b);
}